Goncalo Galvao | Electronics and Computer Engineering | Best Researcher Award Published on 14/11/202514/11/2025 by Environmental Scientists Dr. Goncalo Galvao | Electronics and Computer Engineering | Best Researcher Award International Society For Executive Learning | Portugal Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Dr. Goncalo Galvao is a dedicated PhD student at ISEL whose research spans Electronics and Computer Engineering, Optoelectronics, and Machine Learning, with a strong focus on intelligent mobility systems. His academic trajectory reflects a commitment to innovation, particularly in the integration of Visible Light Communication and deep reinforcement learning to develop adaptive traffic control solutions that enhance vehicular communication, improve traffic flow efficiency, and reduce congestion in emerging smart-city environments. His earlier work explored advanced optical wireless systems for connected vehicles, leading to high-quality scientific contributions and recognition through a Best Paper Award at an international conference. Dr. Goncalo Galvao has authored a substantial body of research indexed in Scopus, comprising 21 documents with 64 citations across 42 citing sources and a 4 h-index, demonstrating the growing impact and visibility of his contributions to optical communication and AI-driven traffic management. His research involvement includes participation in a funded project centered on intelligent transportation and urban mobility challenges, where he applies data-driven engineering approaches to develop sustainable and efficient solutions. His ongoing doctoral research further advances this trajectory, positioning him at the forefront of innovative developments in smart mobility and next-generation transportation systems. Through his scholarly output, project engagements, and academic involvement, Dr. Goncalo Galvao continues to contribute meaningfully to advancements in optical wireless communication, machine learning applications in engineering, and the development of intelligent systems that support safer, smarter, and more efficient urban mobility infrastructures. Profiles: Scopus | Orcid | Google Scholar | Researchgate
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Featured Publications Vieira, M. A., Galvão, G., Vieira, M., Louro, P., Vestias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Visible light communication and learning-based control for traffic signal optimization and vehicle management. Symmetry, 16(2), 240. Vieira, M., Vieira, M. A., Galvão, G., Louro, P., Véstias, M., & Vieira, P. (2024). Enhancing urban intersection efficiency: Utilizing visible light communication and learning-driven control for improved traffic signal performance. Vehicles, 6(2), 666–692. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2023). Visible light communication at urban intersections to improve traffic signaling and cooperative trajectories. In 2023 7th International Young Engineers Forum (YEF-ECE) (pp. 60–65). Vieira, M., Galvão, G., Vieira, M. A., Vestias, M., Louro, P., & Vieira, P. (2024). Integrating visible light communication and AI for adaptive traffic management: A focus on reward functions and rerouting coordination. Applied Sciences, 15(1), 116. Galvão, G., Vieira, M., Louro, P., Vieira, M. A., Véstias, M., & Vieira, P. (2024). Multi agent reinforcement learning system for vehicular and pedestrian traffic control with visible light communication. In 2024 8th International Young Engineers Forum on Electrical and Computer Engineering.
Nitin Goyal | Computer Science | Best Researcher Award Published on 27/10/202527/10/2025 by Environmental Scientists Dr. Nitin Goyal | Computer Science | Best Researcher Award Assistant Professor | Central University of Haryana | India Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Dr. Nitin Goyal is a distinguished academic and researcher in the field of Computer Science and Engineering, recognized for his extensive contributions to advanced computing technologies, underwater wireless sensor networks (UWSN), and intelligent communication systems. With a robust academic foundation and over sixteen years of professional experience, he has established a prolific research profile encompassing artificial intelligence, machine learning, deep learning, Internet of Things (IoT), and wireless sensor networks (WSN). Dr. Nitin Goyal has authored more than 175 research papers, including 90 SCI-indexed, 15 Scopus-indexed, 15 book chapters, and numerous conference proceedings, reflecting his commitment to high-impact scientific dissemination. His innovative work has led to the filing of 30 patents, with 20 already granted, demonstrating his drive for technological advancement and innovation. As an editor and contributor to multiple international books published by CRC Press, IGI Global, and Cambridge Scholars, he plays a vital role in bridging research and industry applications. His active engagement as a reviewer, editorial board member, and guest editor for renowned SCI journals such as Scientific Reports (Nature) and CMC – Computers, Materials & Continua further emphasizes his scholarly leadership. Dr. Nitin Goyal research excellence has been recognized globally through awards such as the Best Researcher Award and his inclusion in the list of the world’s top 2% scientists by Elsevier. His recent works on AI-driven pest classification, privacy-preserving frameworks, and intelligent anti-phishing models underscore his continuous pursuit of innovation for sustainable and secure technological ecosystems. 3,747 Citations by 2,904 documents, 128 Documents, 35 h-index. Profiles: Scopus | Orcid | Google Scholar | Researchgate | LinkedIn
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Featured Publications Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.
Trivedi, N. K., Gautam, V., Anand, A., Aljahdali, H. M., Villar, S. G., Anand, D., … (2021). Early detection and classification of tomato leaf disease using high-performance deep neural network. Sensors, 21(23), 7987. Kumar, A., Sharma, S., Goyal, N., Singh, A., Cheng, X., & Singh, P. (2021). Secure and energy-efficient smart building architecture with emerging technology IoT. Computer Communications, 176, 207–217. Lilhore, U. K., Imoize, A. L., Li, C. T., Simaiya, S., Pani, S. K., Goyal, N., Kumar, A., … (2022). Design and implementation of an ML and IoT based adaptive traffic-management system for smart cities. Sensors, 22(8), 2908. Chaudhary, M., Goyal, N., Benslimane, A., Awasthi, L. K., Alwadain, A., & Singh, A. (2022). Underwater wireless sensor networks: Enabling technologies for node deployment and data collection challenges. IEEE Internet of Things Journal, 1. Goyal, N., Dave, M., & Verma, A. K. (2020). SAPDA: Secure authentication with protected data aggregation scheme for improving QoS in scalable and survivable UWSNs. Wireless Personal Communications, 113(1), 1–15.