ベン　アブダラ　アブデラゼク

BEN ABDALLAH Abderazek

Professor, Regent (Dean of the Undergraduate school)

Affiliation
Department of Computer Science and Engineering/Division of Computer Engineering
Title
Professor, Regent (Dean of the Undergraduate school)
E-Mail
benab@u-aizu.ac.jp
Web site
https://web-ext.u-aizu.ac.jp/misc/neuro-eng/

Education

Courses - Undergraduate

  • Computer Architecture, Undergraduate level, UoA, 2018 – present
  • Introduction to Computer Systems, Undergraduate level, UoA, 2018 – present
  • Parallel Computer Systems, Undergraduate level, UoA, 2018 – present
  • Computer System Engineering, UoA, 2008-2018
  • Embedded Systems, UoA, 2008-2016
  • Logic Circuit Design Exercises, UoA, 2008-2018
  • Computer Architecture Exercises, UoA, 2008-2018
Courses - Graduate
  • Neuromorphic Computing, UoA, 2023 – present
  • Embedded Real-Time Systems, UoA, 2008 – 2022
  • Multicore Computing, UoA, 2010-2015
  • Advanced Computer Organization, UoA, 2008 – 2023

    • Research

    Specialization
    Communication and network engineering
    Computer system
    High performance computing
    Intelligent informatics
    Educational Background, Biography
  • 1999.4-2002.3 Ph.D. in Computer Engineering, National Univ. of Electro-communications at Tokyo
  • 2002.4-2007.3 Research Associate, National Univ. of Electro-communications, Tokyo
  • 2007.4-2007.9 Assistant Professor, National Univ. of Electro-communications, Tokyo
  • 2007.10-2011.3 Assistant Professor, UoA
  • 2011.4-2012.3 Associate Professor, UoA
  • 2012.4-2014.3 Senior Associate Professor, UoA
  • 2014.4-present Professor, UoA
  • 2014.4-2022.03 Head, Computer Engineering Division, UoA
  • 2014.4-present Member, Education and Research Council, UoA
  • 2022.4-present Dean, School of Computer Science and Engineering, UoA
  • 2022.4-present Regent, The University of Aizu

    • Invited Lecturer:
  • 2010-2013 Visiting Professor, Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China
  • 2011-2015 Visiting Professor, School of Software Engineering, Huazhong University of Science and Technology, Wuhan, China
  • 2022 - present Lecturer, Graduate School of Science and Technology, Kyoto Institute of Technology, Kyoto, Japan
  • 2023 - present, Tokyo University of Foreign Studies, Tokyo, Japan
    • Current Research Theme
    Abderazek Ben Abdallah's research is dedicated to advancing energy-efficient, high-performance computing systems, with a particular emphasis on digital signal processing workloads constrained by computational, network, and reliability challenges. His work in neuromorphic AI circuits and systems encompasses energy-efficient learning algorithms and AI-chip hardware development, driving advancements in low-power computing, adaptive intelligence and real-time processing for embedded applications. He has also contributed to the advancement of on-chip interconnects, particularly fault-tolerant 3D-NoCs/ICs (SiPh, Hybrid), designed to optimize system efficiency. Additionally, his research enhances the reliability of integrated circuits and SoCs by tackling key challenges like thermal management and error mitigation. His algorithms and systems have been instrumental in advancing numerous emerging applications and have been patented across multiple innovations through collaborations with various industrial partners.
    Key Topic
    Neuromorphic AI Circuits and Systems; On-chip Interconnects (2D/3D, Si-Photonics, Hybrid); Emerging Applications; Low-power Computing, Adaptive Intelligence; Real-time; Sustainable; Anthropomorphic Android
    Affiliated Academic Society
  • Associate Editor, IEEE Computer Magazine since 2025
  • Member, Sigma Xi, The Scientific Research Honor Society since 2025
  • IEEE Senior Member since 2014
  • ACM Senior Member since 2016
  • Member of IEEE Circuits and Systems
  • Member of the European Alliance for Innovation

    • Main research

    Adaptive Anthropomorphic Android

    We are actively researching anthropomorphic prosthetics and androids, integrating cutting-edge neuroscience, artificial intelligence, and robotics to develop highly responsive, lifelike systems that enhance both human mobility and interaction. Through neuromorphic computing and spiking neural networks, we strive to achieve more natural, intuitive control, ensuring seamless communication between artificial limbs, androids, and biological systems.
    Our focus on non-invasive neural interfaces enables prosthetics to adapt dynamically to user intent, enhancing precision, comfort, and fluidity of motion. Meanwhile, our research on advanced sensory processing for androids aims to equip robotic entities with human-like awareness, allowing them to engage in complex tasks, interpret environmental stimuli, and interact intelligently with users. By bridging