Alexandra Takou | Electronics | Innovative Research Award

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.

 

Bilal Ahmad Mir | Electronics | Best Researcher Award

Mr. Bilal Ahmad Mir | Electronics | Best Researcher Award

Ph.D, Jeonbuk National University, South Korea

Bilal Ahmad Mir is a passionate and self-driven Ph.D. scholar at the NSCL Lab, Jeonbuk National University, South Korea. With a robust academic and research background, he is known for his interdisciplinary expertise spanning artificial intelligence, computational biology, and cloud computing. A quick learner and creative problem-solver, Bilal actively participates in workshops, internships, and volunteer activities while also contributing significantly to scientific research through quality publications and presentations. 🌐

Professional Profile

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🎓 Education

Bilal earned his Bachelor’s degree in Science from Sri Pratap College, Srinagar, majoring in Mathematics, Electronics, and IT. He pursued his Master of Computer Applications (MCA) at the Islamic University of Science and Technology, Awantipora, with a strong focus on AI, ML, and Cloud Computing. Currently, he is pursuing his Ph.D. in Electronics and Info Engineering at Jeonbuk National University, South Korea, where he is affiliated with the NSCL lab. 🏫

💼 Experience

With hands-on experience in both academic and real-world projects, Bilal completed internships at institutions such as CDAC Mohali and various NGOs. His MCA dissertation involved developing an intelligent face recognition system using Raspberry Pi. He also held roles involving fundraising and HR policy development during his internships at NBNWS and Naya Sewara. His proactive engagement in seminars, workshops, and technical training further illustrates his deep commitment to learning and leadership. 🖥️

🔬 Research Interests

Bilal’s research interests include Artificial Intelligence, Deep Learning, Machine Learning, Cloud Computing, Computational Biology, and Computational Chemistry. His research contributions aim to apply machine learning and neural networks to biological and chemical problems, showcasing his interdisciplinary approach to solving complex challenges in science and technology. 🧬

🏆 Awards

Bilal received Rank 1 in a digital India quiz competition (2015) and was honored as Mr. Fresher in his MCA batch (2016). His dedication to academics and extracurriculars is evident from his consistent leadership and participation in academic forums, seminars, and workshops. 🥇

📚 Top Noted Publications

Improving enhancer identification with a multi-classifier stacked ensemble model (2023) – Journal of Molecular Biology, Vol 435(23), 168314
➡️ ReadCited by 7 articles

Sb-net: Synergizing CNN and LSTM networks for uncovering retrosynthetic pathways in organic synthesis (2023) – Computational Biology and Chemistry, Vol 112, 108130
➡️ ReadCited by 5 articles

GRU-Based Prediction of RNA 5-Hydroxymethylcytosine Modifications (2023) – 정보 및 제어 논문집 (Journal of Info and Control), pp. 345–346
➡️ Read (Korean)Cited by 3 articles

Conclusion

Bilal Ahmad Mir exhibits strong foundational research capabilities, practical project experience, and a drive for continuous learning. His interdisciplinary focus and international engagement mark him as a promising early-career researcher. While there’s room for growth in research volume and recognition, his demonstrated excellence and potential make him a suitable candidate for the Best Researcher Award. Continued mentorship and opportunities will help him rise to even higher academic and scientific impact.