Guangxi Minzu University, China.
Dr. Zhe Wang is an Assistant Professor at the School of Artificial Intelligence, Guangxi Minzu University. He earned his PhD in Electric Power and Intelligent Information from Guangxi University in 2019. His research focuses on Simultaneous Wireless Information and Power Transfer (SWIPT), wireless power transfer, optimization, and AI applications. Dr. Wang has contributed significantly to the field of federated learning and privacy-preserving AI techniques, with publications in high-impact journals.
Profile
🎓 Education
Dr. Zhe Wang holds a PhD in Electric Power and Intelligent Information from Guangxi University, China, which he obtained in 2019. His academic journey has been centered on advancing research in wireless power transfer, optimization techniques, and AI applications in energy systems. With a strong foundation in electrical engineering and intelligent systems, Dr. Wang has contributed to cutting-edge innovations in Simultaneous Wireless Information and Power Transfer (SWIPT). His expertise bridges the gap between power systems and artificial intelligence, driving new methodologies for efficient and intelligent energy solutions.
💼 Experience
Dr. Zhe Wang is an Assistant Professor at the School of Artificial Intelligence, Guangxi Minzu University, a position he has held since 2021. Prior to this, he served as a Lecturer at the School of Information Engineering at the same university from 2019 to 2020. His academic contributions focus on advancing research and education in artificial intelligence and information engineering, fostering innovation in these rapidly evolving fields.
🔬 Research Interests
Simultaneous Wireless Information and Power Transfer (SWIPT)
Wireless Power Transfer
Optimization Techniques
AI Applications in Power Systems
Privacy-Preserving AI & Federated Learning
🏆 Awards & Recognitions
Outstanding Research Contribution Award – Guangxi Minzu University
Best Paper Award – International Conference on Artificial Intelligence Applications
Innovation Excellence Honor – SWIPT & Wireless Power Transfer Research
📚 Publications
1️⃣ "A Review of Privacy-Preserving Research on Federated Graph Neural Networks"
Journal: Neurocomputing (2024)
Cited by: 2 articles
2️⃣ "A Review of Secure Federated Learning: Privacy Leakage Threats, Protection Technologies, Challenges, and Future Directions"
Journal: Neurocomputing (2023).
Cited by: 22 articles