Division of Computer Engineering
Department of Computer Science and Engineering
The University of Aizu
Email: zwang@u-aizu.ac.jp
Tel.: +81 0242-37-2500 (Int. 3204)
Employment
Postdoctoral Researcher, The University of Aizu, April 2023 – Present.
AI Engineer, Aizu Computer Science Laboratories, January 2020 – March 2021.
Education
- Ph.D. in Computer Science and Engineering, The University of Aizu, Japan, 2023
- M.Sc. in Computer Science, University of Freiburg, Germany, 2019
- B.Sc. in Computer Science, Wuhan University, China, 2014
Research
AEBiS
A Virtual Power Plant (VPP) is a network of distributed power generating units, flexible power consumers, and storage systems. A VPP balances the load on the grid by allocating the power generated by different linked units during periods of peak load. Demand-side energy equipment, such as Electric Vehicles (EVs) and mobile robots, can also balance the energy supply-demand when effectively deployed. However, fluctuation of the power generated by the various power units makes the supply power balance a challenging goal. Moreover, the communication security between a VPP aggregator and end facilities is critical and has not been carefully investigated. An AI-enabled, blockchain-based electric vehicle integration system is developed 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.
Trustworthy Multi-Blockchain-Based Collaborative Learning
Collaborative edge learning has emerged in various domains like vehicular networks and medical care, allowing local model training on edge devices while preserving privacy. A hybrid clustered blockchain method (HCB) is proposed for collaborative edge learning, where model transmission is performed in an on-chain-merge-off-chain manner. Each cluster performs an off-chain transmission of local model updates and an on-chain distribution of global model updates, and elects a delegate node to serve as a model aggregator. The delegate nodes form a main blockchain in which the global model updates of each cluster are exchanged. A delegate-based adaptive model aggregation for robust collaborative learning called DAMA-RCL ensures high-quality model selection and aggregation during collaborative learning. A disassembling-reassembling method is also introduced to enable practical model transmission on the blockchain network.
Patent
- A. Ben Abdallah, Zhishang Wang, Masayuki Hisada, ”An electricity trading system and an electricity trading method [電力取引システム及び電力取引方法に関する]”, 特願2022-022472
- A. Ben Abdallah, Zhishang Wang, Khanh N. Dang, Masayuki Hisada, ”EV Power Consumption Prediction Method and System for Power Management in Smart Grid [スマートグリッドにおける電力管理のためのEV消費電力予測方法とシステム]”, 特願2023-020162
- A. Ben Abdallah, Zhishang Wang, K. N. Dang, Masayuki Hisada, ”Self Controlled Urushi Painting System/自己制御漆ロボット手描きプラッ トフォームとシステム”, 特願2024-TC
Selected Publications
- 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, doi: 10.1109/ACCESS.2024.3359272.
- 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.
- 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.
- 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, doi: 10.1109/ACCESS.2024.3425900.
- 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.
- 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.
- Z. Wang, K. N. Dang and A. Ben Abdallah, "Interlinked Chain Method for Blockchain-Based Collaborative Learning in Vehicular Networks," 2023 IEEE 16th International Symposium on Embedded Multicore/Many-core Systems-on-Chip (MCSoC), Singapore, 2023, pp. 354-359, doi: 10.1109/MCSoC60832.2023.00059.
- Kit Sum Yiu, Zhishang Wang, K. N. Dang and Abderazek Ben Abdallah, ''Integrating Speech Recognition with the Software and Hardware Tool in Software-Defined Vehicles,'' ETLTC2025, January 20-26, 2025
- Kaisei Kaneko, Zhishang Wang, K. N. Dang and Abderazek Ben Abdallah, ''Research on Energy Trading System in Vehicle-to-Grid Networks,'' ETLTC2025, January 20-26, 2025
- Yu Yajima, Zhishang Wang, Abderazek Ben Abdallah, ''Robust Collaborative Learning Against Poisoning Attacks in Electric Vehicles Network,'' ETLTC2023, January 24-27, 2023
- Sinchhean Phea, Zhishang Wang, Jiangkun Wang, Abderazek Ben Abdallah, ''Optimization and Implementation of a Collaborative Learning Algorithm for an AI-Enabled Real-time Biomedical System,'' 3rd ETLTC2021-ACM Chapter Int. Conference on Information and Comm. Technology, January 27-30, 2021, Aizu-Wakamatsu, Japan SHS Web Conf., 102 (2021) 04017, DOI: 10.1051/shsconf/202110204017 (Best Paper Award)
- H. Huang, M. Ogbodo, Z. Wang, C. Qiu, M. Hisada and A. B. Abdallah, “Smart Energy Management System based on Reconfigurable AI Chip and Electrical Vehicles,” 2021 IEEE International Conference on Big Data and Smart Computing (BigComp), Jeju Island, Korea (South), 2021, pp. 233-238, doi: 10.1109/BigComp51126.2021.00051.
- Z. Wang, Yuxiao Liang, Achraf Ben Ahmed, Khanh N. Dang, Abderazek Ben Abdallah, ''Edge-Driven Dynamic Two-Tier Blockchain for Energy Trading in Vehicle-To-Grid Networks'', IEEE Transactions on Vehicular Technology (under review)
Invited Talk
- “Electric Vehicle Integration System for Intelligent Power Grid Management with AI”, the 3rd Forum on Innovation and Development of Artificial Intelligence Industry and Research, Online - Hosted by Xiamen, China, 2023.
Oral Presentation
- Postgraduate Forum of ACM International Conference on Research in Adaptive and Convergent Systems 2022, Aizuwakamatsu, Japan. October 3-6, 2022.
Services
- Journal Frontiers in Sustainable Cities, Research Topics: “Emerging Low-carbon Solutions for Sustainable Smart Buildings and Cities”, Topic Coordinator, [URL]
- Conference Special Session/Issue IEEE MCSoC 2024: ‘‘Special Session on Parallel/Distributed, Grid, and Cloud Computing’’, [URL]
- Reviewer IEEE Internet of Things Journal, IEEE Communications Magazine, IEEE Access, Int. J. of Embedded Systems, Scientific Reports, Sustainable Energy Technologies and Assessments
IEEE MCSoC 2023: ‘‘Special Session on Parallel/Distributed, Grid, and Cloud Computing’’, [URL]
IEEE MCSoC 2024, IEEE MCSoC 2023, IEEE MCSoC 2022