Alexandra Takou | Electronics | Innovative Research Award

Published on by Environmental Scientists

Dr. Alexandra Takou | Electronics | Innovative Research Award

Dr. Alexandra Takou | Electronics | Post Doctoral Researcher at University of Thessaly | Greece

Dr. Alexandra Takou is a highly accomplished female researcher and academic specializing in hardware security, reliability engineering, and fault-tolerant VLSI systems, recognized for her contributions to the detection and mitigation of hardware Trojans, soft errors, and electromagnetic (EM) attacks in advanced electronic systems. She earned her Ph.D. in Electrical and Computer Engineering from a reputed university, where she developed expertise in hardware security design, layout-driven fault injection, EM-based attack modeling, and reliability-aware circuit implementation, establishing a solid foundation for both theoretical and applied research.

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Featured Publications:


An Optimal Methodology for EM-Based Hardware Trojan Placement on Clock Tree Networks

2023 IEEE 66th International Midwest Symposium on Circuits and Systems

A Takou; O Axelou; G Floros; N Evmorfopoulos; G Stamoulis

Citations: 4


An Efficient Security Closure Methodology for EM-Based Attacks on Power Grid Structures

2023 IEEE International Symposium on Defect and Fault Tolerance in VLSI

A Takou; P Stoikos; M Moysis; G Floros; N Evmorfopoulos; G Stamoulis

Citations: 3


Sensitivity-Aware Hardware Trojan Injection for SET Propagation and Soft Error Attacks

2024 20th International Conference on Synthesis, Modeling, Analysis and Simulation of Electronic Systems

A Takou; GI Paliaroutis; P Tsoumanis; N Evmorfopoulos; G Stamoulis

Citations: 1


Fault Injection Attacks Based on Layout-Driven SER Analysis

2025 21st International Conference on Synthesis, Modeling, Analysis and Simulation of Electronic Systems

A Takou; P Tsoumanis; GI Paliaroutis; N Evmorfopoulos; G Stamoulis


Design and Implementation of Reliability-Aware Hardware Trojans and Attacks

Πανεπιστήμιο Θεσσαλίας, Σχολή Πολυτεχνική, Τμήμα Ηλεκτρολόγων Μηχανικών και Μηχανικών Υπολογιστών, 2025

A Takou


Power Consumption Assessment of Telecommunication Base Stations Harnessing Prototype Energy Models

2024 15th International Conference on Information, Intelligence, Systems and Applications

A Fevgas; JA Korinthios; P Tsompanopoulou; N Frangogiannis et al.

 

Goncalo Galvao | Electronics and Computer Engineering | Best Researcher Award

Published on 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.