Lan (Emily) Zhang

Contact

lanzhang@mtu.edu
906-487-1090
EERC 623

Assistant Professor, Electrical and Computer Engineering
Affiliated Assistant Professor, Computer Science
Affiliated Assistant Professor, Biomedical Engineering

PhD, Computer Engineering, University of Florida
MS, Wireless Communications, University of Electronic Science and Technology of China
BS, Telecommunication Engineering, University of Electronic Science and Technology of China

Biography

Dr. Zhang's research interest spans the fields of distributed machine learning, wireless communications, and cybersecurity in various CPS/IoT applications. She is currently an associate editor of IEEE Transactions on Vehicular Technologies. She served as the technical program committee (TPC) member and reviewer of several leading journals/conferences. She was the speaker of several flagship celebrations or conferences, such as IEEE Global Communications Conference, Grace Hopper Celebration, IEEE International Conference on Communications, etc.

Links of Interest

Faculty Website

Teaching

EE/CS 5821 Computational Intelligence
EE4723 Network Security
EE4370 IoT Application and Design

Areas of Interest

Wireless Communications (e.g., RIS, mmWave, CPS, industrial-IoT)
Big Data (e.g., machine learning, smart transportation, eHealth)
Cybersecurity and Privacy (e.g., IoT/CPS, learning pipeline, blockchain)

Recent Publications

L. Zhang, L. Yan, B. Lin, H. Ding, Y. Fang and X. Fang, "Augmenting Transmission Environments for Better Communications: Tunable Reflector Assisted MmWave WLANs," in IEEE Transactions on Vehicular Technology, vol. 69, no. 7, pp. 7416-7428, July 2020, doi: 10.1109/TVT.2020.2991547.
R. Lu, L. Zhang, J. Ni and Y. Fang, "5G Vehicle-to-Everything Services: Gearing Up for Security and Privacy," in Proceedings of the IEEE, vol. 108, no. 2, pp. 373-389, Feb. 2020, doi: 10.1109/JPROC.2019.2948302.
L. Zhang, L. Yan, Y. Fang, X. Fang and X. Huang, "A Machine Learning-Based Defensive Alerting System Against Reckless Driving in Vehicular Networks," in IEEE Transactions on Vehicular Technology, vol. 68, no. 12, pp. 12227-12238, Dec. 2019, doi: 10.1109/TVT.2019.2945398.