Odysseas Koufopavlou is a Visiting Professor in Computer Science with the School of Engineering at the University of Patras, where he previously served as Dean of the School of Engineering (2014-2018) and Head of the Electrical and Computer Engineering Department (2020-2022). His research focuses on VLSI design, hardware security, and cryptographic implementations for embedded systems. Current projects explore side-channel resistant architectures and microarchitectural attacks in hardware systems. Professor Koufopavlou has led multiple European research initiatives including 5G-VICTORI, 5G-SOLUTIONS, and CONCORDIA cybersecurity projects. He has chaired prominent international conferences including the IFIP/IEEE International Conference on Very Large Scale Integration.
Jason K. Eshraghian is an Assistant Professor in the Department of Electrical and Computer Engineering at the University of California, Santa Cruz, within the Baskin School of Engineering. He holds a Ph.D. in Electrical and Electronic Engineering from The University of Western Australia and completed his postdoctoral training at the University of Michigan from 2019 to 2022. His research centers on neuromorphic computing , spiking neural networks , and memory circuits , with a strong emphasis on hardware-software co-design for energy-efficient AI. He is the creator of snnTorch , a popular open-source Python library for training and simulating spiking neural networks, widely used in both academia and industry. His recent work reflects a deep integration of circuit design, machine learning, and neuroscience. The research trends indicate a focus on low-power, event-driven computing paradigms, particularly through VLSI and neuromorphic hardware implementations. His publications span top-tier conferences and journals in circuits, AI hardware, and electronic systems. Scientific Awards: 2023 IEEE Transactions on Circuits and Systems Darlington Best Paper Award 2019 IEEE Very Large Scale Integration Systems Best Paper Award Best Paper Award at the 2019 IEEE Artificial Intelligence Circuits and Systems Conference Best Live Demonstration Award at the 2020 IEEE International Conference on Electronics Circuits and Systems Fulbright Fellowship (Australian-American Fulbright Commission) Forrest Research Fellowship (Forrest Research Foundation) Endeavour Research Fellowship (Australian Government) He has been recognized with multiple competitive fellowships and best paper/demonstration awards, reflecting both the quality and impact of his research. While specific grants are not listed, his fellowship support indicates substantial research funding. He has advised students in the areas of neuromorphic systems and AI circuits, though no names are publicly listed in the provided text. He serves professionally as the Secretary of the Neural Systems and Applications Technical Committee and as an Associate Editor for APL Machine Learning , contributing to the advancement of interdisciplinary research in machine learning and physical systems.
Jinhui Wang is a Professor in the Department of Electrical and Computer Engineering at the University of South Alabama's College of Engineering. His research focuses on cutting-edge technologies in Artificial Intelligence , VLSI Circuits , and Neuromorphic Computing . Education: Postdoctoral work in VLSI Design at University of Rochester, NY, USA; Ph.D. and B.S. in Electrical Engineering from Beijing University of Technology and Hebei University, China. His work addresses 3D IC Design , Emerging Memory Systems , and Cooling Techniques for Electronic Devices , with recent publications emphasizing privacy-preserving AI hardware and intelligent memory architectures for mobile and embedded systems. Collaborative projects span applications in Wireless Sensor Networks , IoT , and UAV Electronic Subsystems .
Felipe Gohring de Magalhaes is an Assistant Professor in the Department of Computer Engineering and Software Engineering at Polytechnique Montréal, where he has been working since July 2018 and assumed his current position in October 2024. He holds a dual doctorate from PUC-RS (Brazil) and Polytechnique Montréal (2016), with degrees in both computer science and computer engineering. His research spans embedded system architectures, real-time systems, avionics, and cybersecurity for emerging technologies. He is affiliated with the Microelectronics and Microsystems Research Group and the Multidisciplinary Institute for Cybersecurity and Cyber Resilience, reflecting his focus on integrated circuits, microelectronics, and system security. Professor Gohring de Magalhaes has published over 40 articles in international journals and conferences, with recent work focusing on photonic integrated circuits security, optical neural networks, and post-quantum cryptography for avionic systems. His publication trend shows consistent output with increasing focus on security aspects of emerging computing technologies. He has supervised at least one PhD student to completion and teaches courses including Introduction to Programming and Operating System Kernel. His research interests align with NSERC topics in integrated circuits, microelectronics, computer systems organization, and VLSI systems.
