Tao Han

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.

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

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

https://tao-han-njit.netlify.app/

ECE 726 - INDEPENDENT STUDY II

ECE 725 - INDEPENDENT STUDY I

ECE 790A - DOCTRL DISSRTN & RESEARCH

ECE 381 - APPLIED MACHINE LEARNING

ECE 792B - PRE-DOCTORAL RESEARCH

ECE 418 - INDEPENDENT STUDY

Mobile Computing System
Applied Machine Learning
Wireless Networks

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

Remote labor using internet-based teleoperated robots and its societal impacts

Hou, Xueyu, & Guan, Yongjie, & Han, Tao, & Wang, Cong (2024). Towards real-time embodied AI agent: a bionic visual encoding framework for mobile robotics. International Journal of Intelligent Robotics and Applications,

Salahdine, Fatima, & Opadere, Johnson, & Liu, Qiang, & Han, Tao, & Zhang, Ning, & Wu, Shaohua (2021). A survey on sleep mode techniques for ultra-dense networks in 5G and beyond. Computer Networks, 201, 108567.

Yousefvand, Mohammad, & Han, Tao, & Ansari, Nirwan, & Khreishah, Abdallah (2017). Distributed energy-spectrum trading in green cognitive radio cellular networks. IEEE Transactions on Green Communications and Networking, 1(3), 253--263.

Yousefvand, Mohammad, & Han, Tao, & Ansari, Nirwan, & Khreishah, Abdallah (2017). Distributed energy-spectrum trading in green cognitive radio cellular networks. IEEE Transactions on Green Communications and Networking, 1(3), 253--263.

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

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

OnSlicing: online end-to-end network slicing with reinforcement learning
2021