FACULTY
Research and Industry-Academia Collaboration
研究?産学連携
ZHISHANG wang
Assistant Professor
- Affiliation
- Department of Computer Science and Engineering/Division of Information Systems
- Title
- Assistant Professor
- zwang@u-aizu.ac.jp
- Web site
- https://u-aizu.ac.jp/~zwang/
Education
- Courses - Undergraduate
- IT08 Signal Processing and Linear System (Exercise)
IE03 Integrated Exercise for Software I (Exercise)
IT03 Image Processing (Exercise)
FU06 Operating Systems
- Courses - Graduate
Research
- Specialization
-
High performance computing
Perceptual information processing
Intelligent informatics
Intelligent robotics
Trustworthy AI in distributed systems
Green Energy Computing
Neuromorphic computing for adaptive android
- Educational Background, Biography
-
Ph.D. in Computer Science, The University of Aizu, Japan, Apr. 2020 – Mar. 2023
M. Sc in Computer Science, University of Freiburg, Germany, Apr. 2016 – Mar. 2019
B. Sc in Information Security, University of Wuhan, China PR, Sep. 2010 – Jun. 2014
Zhishang Wang received the M.S. degree in computer science from University of Freiburg, Germany, in 2019, and the Ph.D. degree in computer science from The University of Aizu, Japan, in 2023. From April 2023 to March 2025, he was a postdoctoral researcher at the University of Aizu. Since April 2025, he has been an assistant professor with the Division of Computer Engineering, Department of Computer Science and Engineering, The University of Aizu. His current research interests are in the field of Machine Learning Systems, Edge Computing, Blockchain, and Trustworthy AI. He is also interested in event-driven neuromorphic systems targeted for a new generation of brain-inspired computing technologies and adaptive edge computing systems.
- Current Research Theme
- Driving Sustainable Computing
Trustworthy AI-Enabled Computing in Distributed Systems
Neuromorphic Android System with Multi-Modal Sensing and Distributed Intelligence
- Key Topic
- Sustainable and Energy-Efficient Computing
Trustworthy AI
Distributed Machine Learning and Edge Intelligence
Blockchain for Security and Data Integrity
Neuromorphic Computing and Spiking Neural Networks
Multimodal Sensing and Signal Integration
Human-Robot Interaction and Android Systems
- Affiliated Academic Society
- IEEE (Institute of Electrical and Electronics Engineers)
ACM (Association for Computing Machinery)
Main research
- AIzuHand: 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 the gap between biomechanical engineering and AI-driven cognition, we are paving the way for next-generation assistive technologies and autonomous systems that are deeply integrated into daily life. Our work contributes to advancements in rehabilitation, human augmentation, and adaptive robotics, revolutionizing the way artificial systems complement and extend human capabilities.
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Dissertation and Published Works
1) Zhishang Wang (2023). "Trustworthy AI-Enabled Systems and Algorithms for Power Management in Networks of Electric Vehicles. Doctoral dissertation," The University of Aizu, Japan.
2) Z. Wang, M. Hisada and A. B. Abdallah, "A Hybrid Clustered Approach for Enhanced Communication and Model Performance in Blockchain-Based Collaborative Learning," in IEEE Access, vol. 12, pp. 16975-16988, 2024, doi: 10.1109/ACCESS.2024.3359272.
3) Z. Wang and A. Ben Abdallah, "A Robust Multi-Stage Power Consumption Prediction Method in a Semi-Decentralized Network of Electric Vehicles," in IEEE Access, vol. 10, pp. 37082-37096, 2022, doi: 10.1109/ACCESS.2022.3163455.
4) Z. Wang, M. Ogbodo, H. Huang, C. Qiu, M. Hisada and A. B. Abdallah, “AEBIS: AI-Enabled Blockchain-Based Electric Vehicle Integration System for Power Management in Smart Grid Platform," in IEEE Access, vol. 8, pp. 226409-226421, 2020, doi: 10.1109/ACCESS.2020.3044612.
5) M. Maatar, Z. Wang, K. N. Dang and A. B. Abdallah, "BTSAM: Balanced Thermal-State-Aware Mapping Algorithms and Architecture for 3D-NoC-Based Neuromorphic Systems," in IEEE Access, vol. 12, pp. 126679-126692, 2024, doi: 10.1109/ACCESS.2024.3425900.
6) Y. Liang, Z. Wang and A. B. Abdallah, "Robust Vehicle-to-Grid Energy Trading Method Based on Smart Forecast and Multi-Blockchain Network," in IEEE Access, vol. 12, pp. 8135-8153, 2024, doi: 10.1109/ACCESS.2024.3352631.
7) Y. Liang, Z. Wang and A. B. Abdallah, "V2GNet: Robust Blockchain-Based Energy Trading Method and Implementation in Vehicle-to-Grid Network," in IEEE Access, vol. 10, pp. 131442-131455, 2022, doi: 10.1109/ACCESS.2022.3229432.