Said Hamdioui

Said Hamdioui serves as a full Professor in the Department of Computer Engineering within the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology. His research focuses on cutting-edge hardware architectures for neuromorphic computing and energy-efficient AI acceleration, with particular emphasis on memristor-based systems, emerging memory technologies, and fault-tolerant designs for edge applications.

His research interests span Neuromorphic Computing, Memristor-Based Architectures, and Energy-Efficient AI Hardware, addressing critical challenges in hardware security, computation-in-memory, and reliable edge AI deployment. Recent work demonstrates significant advancements in RRAM/FeFET testing methodologies, spiking neural network implementations, and spin wave computing alternatives to traditional CMOS. His publications reveal strong trends toward real-world deployment of brain-inspired hardware with practical constraints like power efficiency, testability, and security.

Award highlights include:

• DATE'20 Best Paper Award
• DFT'21 Outstanding Student Paper
• ETS 2021 Best Paper Award
• LATS 2018 & 2022 Best Paper Awards

Professor Hamdioui actively contributes to the research community through editorial roles at IEEE Transactions on VLSI Systems, IEEE Design & Test, and Journal of Electronic Testing from 2017-2018. His leadership in multi-partner projects like CONVOLVE and NEUROKIT2E demonstrates strong industry-academia collaboration for edge AI solutions. Current work shows increasing focus on practical deployment challenges including in-field fault monitoring, security vulnerabilities in neuromorphic systems, and realistic brain simulation frameworks.