Haipeng Dai

Haipeng Dai is a Professor at Nanjing University, affiliated with the State Key Laboratory for Novel Software Technology and also associated with Tianjin University's School of Computer Science and Technology. His research spans multiple areas of computer science with a strong focus on wireless systems and mobile computing.

Dr. Dai's research interests primarily center on wireless charging networks, mobile computing, edge computing, UAV systems, sensor networks, and data management. His work demonstrates a strong theoretical foundation combined with practical applications, particularly in the areas of wireless power transfer and mobile sensing technologies. He has made significant contributions to understanding wireless charger networks, developing novel techniques for acoustic sensing, and optimizing resource allocation in edge computing environments. His research often bridges the gap between theoretical models and real-world implementations, with many papers published in top-tier conferences and journals.

Analysis of Dr. Dai's recent publications reveals a strong trend toward interdisciplinary research combining wireless power transfer with mobile computing and sensing applications. His work shows increasing focus on practical implementations of theoretical concepts, particularly in the areas of wireless charging infrastructure, acoustic sensing for health monitoring, and optimization of UAV-based systems. The research demonstrates a clear progression from fundamental wireless charging concepts to more complex integrated systems involving multiple technologies.

Dr. Dai has collaborated extensively with researchers including Guihai Chen (129 joint publications), Jiaqi Zheng (47 papers), Chao Dong (36 papers), and Rong Gu (35 papers), indicating strong research group leadership and collaborative networks across institutions.

His work has significant implications for the development of next-generation wireless systems, particularly in the areas of energy-efficient mobile computing, contactless health monitoring, and intelligent resource allocation in distributed computing environments. The research portfolio demonstrates both depth in specific technical areas and breadth across multiple related domains within computer science and networking.