Tao Han

Tao Han is an Associate Professor in the Department of Electrical and Computer Engineering at the New Jersey Institute of Technology (NJIT), where he conducts cutting-edge research in edge computing, wireless networks, mixed reality, and machine vision. He leads multiple federally funded research projects supported by the National Science Foundation (NSF), including CAREER and I-Corps initiatives.

His research focuses on enabling next-generation intelligent systems through innovations in wireless edge computing, deep reinforcement learning for network automation, holographic telepresence, and energy-efficient mobile networks. His work integrates AI, IoT, and immersive technologies to create scalable, secure, and adaptive systems for real-world applications.

The recent article trends highlight a strong emphasis on metaverse infrastructure, XR spatial communication, UAV-based edge networks, and real-time health monitoring. These publications reflect a cohesive vision of intelligent, human-centric, and sustainable computing environments.

• NSF CAREER Award
• NSF I-Corps Program Funding

Tao Han has secured over 10 federal grants as Principal Investigator (PI), including major NSF projects such as AutoEdge, AirEdge, UbiVision, and Low-Cost Holographic Telepresence. These grants support his lab’s work in developing autonomous, efficient, and immersive communication systems. He actively mentors students and collaborates with researchers like Nirwan Ansari and Chen-Chi Chu. While specific advisees are not listed, his leadership in large research projects suggests significant advisory and team-building roles.

His research is conducted through a dynamic lab environment focused on edge intelligence, wireless automation, and immersive computing, where interdisciplinary teams develop prototypes and deployable systems for future networks.