Tao Han

Associate Professor, Electrical & Computer Engineering
About Me
Tao Han is an Associate Professor in the Department of Electrical and Computer Engineering at New Jersey Institute of Technology (NJIT) and an IEEE Senior Member. Before joining NJIT, Dr. Han was an Assistant Professor in the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte. Dr. Han received his Ph.D. in Electrical Engineering from NJIT in 2015 and is the recipient of NSF CAREER Award 2021, Newark College of Engineering Outstanding Dissertation Award 2016, NJIT Hashimoto Prize 2015, and New Jersey Inventors Hall of Fame Graduate Student Award 2014. His papers win IEEE International Conference on Communications (ICC) Best Paper Award 2019 and IEEE Communications Society’s Transmission, Access, and Optical Systems (TAOS) Best Paper Award 2019. His research interest includes mobile edge computing, machine learning, mobile X reality, 5G system, Internet of Things, and smart grid.
Education
Ph.D.; New Jersey Institute of Technology; Electrical Engineering; 2015
M.E.; Beijing University of Posts of Telecommunications; Computer Engineering; 2009
B.E.; Dalian University of Technology; Electrical and Computer Engineering ; 2006
Experience
The University of North Carolina at Charlotte
Assistant Professor, August 2015 - July 2021
Awards & Honors
2021 NSF CAREER Award, National Science Foundation
2019 IEEE International Conference on Communications (ICC) Best Paper Award, IEEE
2019 IEEE Communications Society’s Transmission, Access, and Optical Systems (TAOS) Best Paper Award , IEEE
Website
https://tao-han-njit.netlify.app/
2026 Fall Courses
ECE 726 - INDEPENDENT STUDY II
ECE 701B - MASTER'S THESIS
ECE 725 - INDEPENDENT STUDY I
ECE 381 - APPLIED MACHINE LEARNING
ECE 790A - DOCTRL DISSRTN & RESEARCH
ECE 700B - MASTER'S PROJECT
ECE 792B - PRE-DOCTORAL RESEARCH
Teaching Interests
Mobile Computing System
Applied Machine Learning
Wireless Networks
Past Courses
ECE 381: INTRODUCTION TO APPLIED MACHINE LEARNING
ECE 498: SPECIAL TOPICS IN ELECTRICAL AND COMPUTER ENGINEERING
ECE 498: ST: INTRODUCTION TO APPLIED MACHINE LEARNING
ECE 698: SELECTED TOPICS IN ELECTRICAL AND COMPUTER ENGINEERING
ECE 698: ST: APPLIED MACHINE LEARNING FOR SELF-DRIVING CARS
Research Interests
Machine learning for next-generation wireless networking and computing systems

Mobile mixed/augmented/virtual reality (MR/AR/VR) with edge computing

Internet of Things (IoT), smart grid, and Blockchain system
In Progress
Remote labor using internet-based teleoperated robots and its societal impacts
Journal Article
Xueyu Hou, Yongjie Guan, Tao Han, Cong Wang. 2024. "Towards real-time embodied AI agent: a bionic visual encoding framework for mobile robotics." International Journal of Intelligent Robotics and Applications.
Fatima Salahdine, Johnson Opadere, Qiang Liu, Tao Han, Ning Zhang, Shaohua Wu. 2021. "A survey on sleep mode techniques for ultra-dense networks in 5G and beyond." Computer Networks, vol. 201, pp. 108567.
Mohammad Yousefvand, Tao Han, Nirwan Ansari, Abdallah Khreishah. 2017. "Distributed energy-spectrum trading in green cognitive radio cellular networks." IEEE Transactions on Green Communications and Networking, vol. 1, no. 3, pp. 253--263.
Mohammad Yousefvand, Tao Han, Nirwan Ansari, Abdallah Khreishah. 2017. "Distributed energy-spectrum trading in green cognitive radio cellular networks." IEEE Transactions on Green Communications and Networking, vol. 1, no. 3, pp. 253--263.
Conference Paper
"A Special-Purpose Video Streaming Codec for Internet-based Remote Driving"
2024 IEEE/ASME (AIM) International Conference on Advanced Intelligent Mechatronics, July (3rd Quarter/Summer), 2024.
"The Pinch Sensor: An Input Device for In-Hand Manipulation with the Index Finger and Thumb"
2023 IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM), August, 2023.
Conference Proceeding
"DeepMix: mobility-aware, lightweight, and hybrid 3D object detection for headsets"
2022.
"Distredge: Speeding up convolutional neural network inference on distributed edge devices"
2022.
"Constraint-Aware Deep Reinforcement Learning for End-to-End Resource Orchestration in Mobile Networks"
2021.
"DeepMix: A Real-time Adaptive Virtual Content Registration System with Intelligent Detection"
2021.
"FLeX: Trading Edge Computing Resources for Federated Learning via Blockchain"
2021.
"LiveMap: Real-Time Dynamic Map in Automotive Edge Computing"
2021.