Huakun Huang
University of Aizu, Sun Yat-sen University, Guangzhou University
Papers
4
Total Citations
155
H-Index
4
About
Dr. Huakun Huang is a leading researcher at the intersection of artificial intelligence, blockchain technology, and smart energy systems. His work primarily focuses on three transformative areas: AI-enabled power management for electric vehicles, dependable device-free localization in IoT environments, and reconfigurable hardware for smart grids. Dr. Huang’s most impactful contribution is the development of AEBIS (AI-Enabled Blockchain-Based Electric Vehicle Integration System), a pioneering framework for Virtual Power Plant management that has garnered 108 citations and is reshaping how distributed energy resources balance grid loads during peak demand. He has also advanced the field of device-free localization (DFL) with a block-sparse coding machine learning approach (20 citations), enabling robust indoor tracking without wearable tags—critical for intrusion detection and mobile robot navigation. His recent work on reconfigurable AI chips for smart energy management (17 citations) and WiFi-based indoor positioning (10 citations) further demonstrates his commitment to practical, scalable solutions for smart city infrastructure. Dr. Huang’s research has been recognized in top venues and is driving the next generation of sustainable, intelligent urban systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4