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
High performance computing
- Educational Background, Biography
2022.4 -present Regent and Dean, School of Computer Scinece and Engineering,The University of Aizu
2014.4-2022.03 Head, Computer Engineering Division, The University of Aizu
2014.4- present Member, Education and Research Council, 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
2022 - present Lecturer, Graduate School of Science and Technology, Kyoto Institute of Technology
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
- Current Research Theme
- Development of Methods for Adaptive Real-time Neuromorphic Prostheses & Anthropomorphic Robotics
- Key Topic
- Brain-inspired computing; robot limbs; Computational neuroscience; Energy efficient control; Fault tolerance
- 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 the European Alliance for Innovation; member of IEICE (2007-2019)
- Reading and visiting historical places
- School days' Dream
- To become a school teacher!
- Simple is the best!
- Favorite Books
- " You Can Heal Your Life "
- Messages for Students
- Concentration and organization are the keys to your research success.
- 3D Spiking Neuromorphic Processor
Neuromorphic computing uses Spiking Neuron Network models to solve machine learning problems in a more power/energy-efficient way when compared to the conventional Artificial Neural Networks.
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.
- Advanced Interconnect Technologies for Network-on-Chips (2D, 3D, Si-Photonics, Hybrid)
Complex SoCs contain dozens of components made of processor cores, DSPs, memory, accelerators, and I/O, all integrated into a single die area of just a few square millimeters. Such complex systems will be interconnected via a complex on-chip interconnect closer to a sophisticated network than current bus-based solutions. This network must provide high throughput and low latency while keeping area and power consumption low. Our research effort is about solving several design challenges to enable such new paradigm in massively parallel many-core systems. In particular, we are investigating fault-tolerance, 3D-TSV integration, photonic communication, low-power mapping techniques, and low-latency adaptive routing.
- AIzuHand: Adaptive Real-time Non-invasive Neuromorphic Neuroprosthesis Hand
Restoring grasping and movement for people with amputations and neurological impairment is imperative for retrieving independence. Prosthetic limbs, which are becoming widespread therapeutic solutions can significantly restore grasping and improve the quality of life of people with amputations or neurological disabilities. However, unlike living agents that combine different sensory inputs to perform a complex task accurately, most prostheses use uni-sensory input, offer limited degrees of freedom and need long patient training.
We investigate adaptive prosthetic limbs to restore grasping and sensation for persons with amputation and neurological impairments. In particular, we develop non-invasive technologies directly interfacing the environment with the residual arm or legs.
- Off-Grid Energy Storage Solar Carport
In this project, we collaborate with Aizu Computer Science Laboratories, Inc. and Banpu Japan to develop an AI-enabled, blockchain-based electric vehicle integration system for power management in a smart grid platform based on EV and solar carport. We have developed a low-power AI-chip and various software tools for EV charge prediction, in which the EV fleet is employed as a consumer and as a supplier of electrical energy.
Dissertation and Published Works
- Abderazek Ben Abdallah, Khanh N. Dang, "Toward Robust Cognitive 3D Brain-inspired Cross-paradigm System," Frontier in Neuroscience, Volume 15 - 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
- 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
- Achraf Ben Ahmed, Tsutomu Yoshinaga, Abderazek Ben Abdallah,"Scalable Photonic Networks-on-Chip Architecture Based on a Novel Wavelength-Shifting Mechanism," IEEE Transactions on Emerging Topics in Computing, 2017. DOI: 10.1109/TETC.2017.2737016
- Akram Ben Ahmed, Abderazek Ben Abdallah,” Adaptive Fault-Tolerant Architecture and Routing Algorithm for Reliable Many-Core 3D-NoC Systems”, Journal of Parallel and Distributed Computing, Volumes 93–94, July 2016, Pages 30-43, ISSN 0743-7315, doi: 10.1016/j.jpdc.2016.03.014
- Abderazek Ben Abdallah, Mudar Sarem, Masahiro. Sowa, "Dynamic Fast Issue Mechanism (DFI) for Dynamic Scheduled Processors," IEICE Transactions on Fundamentals of Electronics, Communications, and Computer Science, Vol. E83-A No.12 pp.2417-2425, Dec. 2000.