Nitin Goyal | Computer Science | Best Researcher Award

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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.

Jasur Sevinov | Artificial Intelligence | Best Researcher Award

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Mr. Jasur Sevinov | Artificial Intelligence | Best Researcher Award

Head of Department | Tashkent State Technical University | Uzbekistan

Mr. Jasur Sevinov, DSc, is a distinguished academic and researcher in automation, adaptive control systems, and info processing. He has built his career at Tashkent State Technical University, where he has served in progressive academic and leadership roles. Currently, he is the Head of the Department of Info Processing and Management Systems, contributing to the advancement of education, scientific research, and modern automation solutions. His work focuses on synthesizing adaptive control systems and enhancing efficiency in technological processes. He has guided projects, published extensively in international journals, and participated in collaborations across Europe and Central Asia.

Professional Profile

Scopus

Orcid 

Google Scholar

Education

Mr. Jasur Sevinov pursued his full academic journey at Tashkent State Technical University. He earned a bachelor’s degree in automation and control, followed by a master’s degree in production process automation. His postgraduate studies focused on algorithms for synthesizing adaptive control systems, leading to his candidate degree defense in control engineering. He further advanced his expertise with a Doctor of Science degree, specializing in adaptive control systems for technological objects based on identification approaches. Complementing his degrees, he completed professional courses in info systems, technology, and quality management, and participated in training events in Türkiye and Belgium.

Experience

Mr. Jasur Sevinov career at Tashkent State Technical University spans from assistant to senior lecturer, associate professor, and later department head. His leadership as Head of the Department of Info Processing and Management Systems reflects his dedication to academic excellence and innovation. Alongside teaching, he has developed curricula, supervised research projects, and contributed to international scientific collaborations. His expertise extends to creating adaptive control methods for dynamic systems and intelligent info-management systems for industrial production. Active in scientific councils, he evaluates doctoral research and contributes to policy development for higher education, solidifying his reputation as a respected leader.

Research Interests

His research interests lie in adaptive control systems, neural network applications in automation, decentralized control, and intelligent info systems. He is deeply engaged in designing algorithms that address uncertainty in technological processes and developing methods for system identification. His studies often focus on integrating speed gradient approaches and neural networks for advanced control solutions. He also explores real-time industrial process management, aiming to improve automation efficiency in sectors like energy, oil, gas, and production. By linking theory with practical application, his work supports both academic advancements and industrial innovations in adaptive and intelligent control technologies.

Awards

Mr. Jasur Sevinov has received recognition for his contributions to adaptive control theory and its applications in engineering. His doctoral dissertation earned him the prestigious Doctor of Science degree, validating his innovative methods in synthesizing adaptive control systems. He has been awarded leadership positions in scientific councils, reflecting his high standing in the academic community. His role as a committee member in scientific seminars demonstrates his recognition by peers. Beyond formal awards, his achievements are also reflected in his successful international collaborations, completed projects funded by research institutions, and his publications in globally indexed journals.

Top Noted Publications

Title: Algorithms of adaptive identification of uncertain operated objects in dynamical models
Year: 2017
Cited by: 48

Title: Algorithms of Nonparametric Synthesis of Discrete One-Dimensional Controllers
Year: 2020
Cited by: 34

Title: Algorithms for the synthesis of gradient controllers in a nonlinear control system
Year: 2022
Cited by: 32

Title: THE ALGORITHM OF ADAPTIVE ESTIMATION IN THE SYNTHESIS OF THE DYNAMIC OBJECTS CONTROL SYSTEMS
Year: 2020
Cited by: 25

Title: Algorithms for the synthesis of optimal linear-quadratic stationary controllers
Year: 2020
Cited by: 21

Conclusion

Mr. Jasur Sevinov clearly stands out as a dedicated researcher with substantial contributions in control systems and automation. His consistent progression in academic leadership, along with impactful scientific achievements, makes him a strong candidate for the Research for Best Researcher Award. With continued expansion of international collaborations and enhanced global dissemination, his influence in the scientific community can reach even greater heights.

Haichang Jiang | AI | Best Researcher Award

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Mr Haichang Jiang | AI | Best Researcher Award

lecturer, jingdezhen university, China  📚

Haichang Jiang is a lecturer at the School of Information Engineering, Jingdezhen University, with over 10 years of experience in artificial intelligence technology, project management, and research. He completed his Master’s in Software Engineering at the University of Electronic Science and Technology of China in 2013 and earned his Ph.D. in Educational Management from the University of Perpetual Help System DALTA in the Philippines in 2023. Jiang has successfully managed large-scale AI projects, such as AI public opinion platforms for the Cyberspace Administration of China and the Ministry of Education.

Profile

Google Scholar

Education 🎓

Haichang Jiang holds a Master’s degree in Software Engineering from the University of Electronic Science and Technology of China (2013). In 2023, he received his Ph.D. in Educational Management from the University of Perpetual Help System DALTA, Philippines, where he honed his expertise in artificial intelligence and educational technologies.

Experience 💼

Jiang has extensive experience in both academia and industry. He has been a lecturer at Jingdezhen University since 2023, teaching AI and related subjects. His professional career includes managing and researching AI-based projects such as the development of AI-driven platforms for the Chinese government and the design of smart healthcare and financial systems. He has collaborated with various top Chinese universities and institutions on AI and health-related research.

Research Interests 🔬

Haichang Jiang’s research primarily focuses on artificial intelligence, smart healthcare, intelligent finance, and sentiment analysis. His projects involve the application of deep learning in medical diagnostics, the development of smart financial systems, and the integration of multimodal views based on natural language for public opinion monitoring.

Awards 🏆

Jiang has contributed significantly to various research projects, with notable achievements including his involvement in AI public opinion platforms, AI-driven smart healthcare systems, and environmental monitoring technologies. His work has been recognized by the Ministry of Education of China, the Jiangxi Provincial Higher Education Society, and several leading academic organizations.

Publications Top Notes 📑

“Research on Real-time Psychological Crisis Early Warning System Based on Natural Language and Deep Learning”, Journal of Artificial Intelligence, 2024. Cited by 15 articles.

“Innovation and Practice of Teaching Methods Under New Engineering Background”, Educational Technology and Society, 2024. Cited by 10 articles.

Conclusion

Haichang Jiang is a highly deserving candidate for the Best Researcher Award due to his extensive and impactful contributions to AI, healthcare, finance, and public opinion analysis. His innovative projects, ongoing research, and leadership in cutting-edge AI applications demonstrate his potential to drive future technological advancements. With continued collaboration and greater international visibility, Haichang Jiang is poised to further elevate the scope of his research, making him a suitable recipient of this prestigious award.