BEN ABDALLAH Abderazek
Professor, Regent (Dean of the Undergraduate School),Dean of School of Computer Science and Engineering,Director of Computer Science and Engineering
- Department of Computer Science and Engineering/Division of Computer Engineering
- Professor, Regent (Dean of the Undergraduate School),Dean of School of Computer Science and Engineering,Director of Computer Science and Engineering
- Courses - Undergraduate
- - Computer Architecture
- Introduction to Computer Systems
- Parallel Computer Systems
- Courses - Graduate
- - Neuromorphic Computing
- Computer Systems
- Educational Background, Biography
2022.4 -present Regent, Dean of the School of Computer Scinece and Engineering,The University of Aizu
2014.4-2022.03 Head of the Computer Engineering Division, The University of Aizu
2014.4-present Professor, The University of Aizu
2012.4-2014.3 Senior Associate Professor, The University of Aizu
2011.4-2012.3 Associate Professor, The University of Aizu
2007.10-2011.3 Assistant Professor, The University of Aizu
2007.4-2007.9 Assistant Professor, National University of Electro-communications, Tokyo
2002.4-2007.3 Research Associate, National University of Electro-communications, Tokyo
2011-2015 Visiting Professor, School of Software Engineering, Huazhong University of Science and Technology
2010-2013 Visiting Professor, Department of Computer Science and Engineering, Hong Kong University of Science and Technology
1999.4-2002.3 Ph.D. (Computer Engineering), National University of Electro-communications at Tokyo
1994.9-1997.6 M.S. (Computer Engineering), Huazhong University of Science and Technology
19988.9-1994.6 B.S.(Electrical Engineering), Sfax University & Huazhong University of Science and Technology
1991.9-1992.6 Chinese Language Proficiency Diploma, Beijing Language Institute (now named Beijing Language and Culture University)
- Current Research Theme
- Development of Methods for Adaptive Real-time Neuromorphic Prostheses & Anthropomorphic Robotics
- Key Topic
- Adaptive; Fault-tolerant; Brain-inspired Computing, Neuromorphic prostheses; Anthropomorphic Robotics; SoCs; Energy-efficient Control
- Affiliated Academic Society
- IEEE Senior Member; ACM Senior Member; Member of IEEE Circuits and Systems, Member of IEEE computer society Technical committee on computer architecture; Member of European Alliance for Innovation
- Reading and visiting historical places
- School days' Dream
- To become a school teacher!
- Current Dream
- Simple is the best!
- Favorite Books
- " You Can Heal Your Life "
- Messages for Students
- Concentration and organization are the keys to the success of your education and research.
- Publications other than one's areas of specialization
- Adaptive Neuro-inspired Computing System
Spiking neurons communicate through discrete action potentials enabling energy-efficient and reliable information processing in neuromorphic systems. This project aims to research and develop an adaptive low-power spiking neural network system in hardware (NASH) empowered with our earlier developed fault-tolerant three-dimensional on-chip interconnect technology. The NASH system features the following: (1) An efficient adaptive configuration method to enable the reconfiguration of different SNN parameters (spike weights, routing, hidden layers, topology, etc.), (2) A mixture of different deep NN topologies, (3) An efficient fault-tolerant multicast spike routing algorithm, (4) An efficient on-chip learning mechanism.
To demonstrate the performance of the NASH system, an FPGA implementation shall be developed, and a VLSI implementation shall also be established.
Please find more details here.
- AIzuHand: Adaptive Real-time Non-invasive Neuromorphic Neuroprosthesis Hand
Prostheses/Neuro-prostheses can significantly improve the quality of life of people with neurological disabilities. These devices are becoming widespread therapeutic solutions (i.e., Parkinson's disease, retinal implants, walking rehabilitation, restoration of sensory feedback in limb prostheses, breast engorgement or palpation, etc.). However, unlike living agents that combine different sensory inputs t o perform a complex task accurately, most prosthetics and anthropomorphic robotics arms use uni-sensory input, which affects their accuracy. Yet, they are power-constrained devices due to their control approaches.
This project investigates an advanced real-time and power-efficient neuromorphic prosthesis hand, AIzuHand, with sensory motor integration and feedback sensing. We aim to develop solutions for controlling prosthetic limbs to restore movement to people with neurologic impairment and amputation.
Find out more details here。
Dissertation and Published Works
A complete list of publications is available here.
Some recent selected publications are included below:
 Abderazek Ben Abdallah, Khanh N. Dang,"Toward Robust Cognitive 3D Brain-inspired Cross-paradigm System," Frontiers in Neuroscience, 6/2021, doi: 10.3389/fnins.2021.690208
 Khanh N. Dang, Nguyen Anh Vu Doan, Abderazek Ben Abdallah, MigSpike: A Migration Based Algorithm and Architecture for Scalable Robust Neuromorphic Systems,” IEEE Transactions on Emerging Topics in Computing (TETC), 12/2021. DOI: 10.1109/TETC.2021.3136028
 Khanh N. Dang, Akram Ben Ahmed, Abderazek Ben Abdallah, Xuan-Tu Tran, "HotCluster: A thermal-aware defect recovery method for Through-Silicon-Vias Towards Reliable 3-D ICs systems," IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems March 2021. DOI: 10.1109/TCAD.2021.3069370
 The H. Vu,Yuichi Okuyama, Abderazek Ben Abdallah, "Comprehensive Analytic Performance Assessment and K-means based Multicast Routing Algorithms and Architecture for 3D-NoC of Spiking Neurons," ACM Journal on Emerging Technologies in Computing Systems (JETC), Vol. 15, No. 4, Article 34, October 2019. doi: 10.1145/3340963
 K. N. Dang, Akram Ben Ahmed, Yuichi Okuyama, Abderazek Ben Abdallah,"Scalable design methodology and online algorithm for TSV-cluster defects recovery in highly reliable 3D-NoC systems," IEEE Transactions on Emerging Topics in Computing (TETC), IEEE, Volume 8, Issue 3, pp 577-590, 2020.