Profile for Lei Wang

Lei Wang profile photo

Specialty area(s)

Localization in Cellular Network and Wireless Sensor Network, Sensor Fusion, Optimal State Estimation.

Brief biography

Lei Wang received the MS degree from the Beijing University of Chemical Technology, China, in 2005, and the Ph.D. degree in computer engineering from the Missouri University of Science and Technology, in 2017. After graduating with the MS degree, he was an embedded software engineer with the Beijing office of SYS TEC electronic GmbH. Upon graduation with a Ph.D. degree, Dr. Wang was a visiting assistant professor at Union College. Currently, he is an assistant professor with the Computer Science Department at the University of Wisconsin - La Crosse. His research interests include localization, sensor fusion, machine learning, wireless communication, and wireless sensor/ad-hoc network. He is a member of the IEEE.

Research and publishing

Lei Wang and Maciej J Zawodniok, “New Theoretical Limit Analysis of LoS and RSS Based Positioning Methods for Ricean Fading Channel in RF Systems,” IEEE Transactions on Mobile Computing. doi: 10.1109/TMC.2018.2872989, 2018.

 Shanshan Bi, Tianchen Wang, Lei Wang and Maciej J Zawodniok, “A Novel Cyber Fault Prognosis and Resilience Control for Cyber-Physical Systems,” IET Cyber-Physical Systems: Theory & Applications. doi: 10.1049/iet-cps.2018.5061, 2018.

 Lei Wang, L. Feng and M. Zawodniok, ”Ubiquitous Tracking Using Motion and Location Sensor with Application to Smartphone,” 2017 IEEE International Conference on Smart Computing (SMARTCOMP), Hong Kong, 2017, pp. 1-8. (SMARTCOMP2017 Best Paper)

Lei Wang and Maciej J Zawodniok, “Bias and CRB Analysis of LoS-based and RSS-based Ranging Methods,” IEEE Transactions on Vehicular Technology. vol. 65, no. 11, pp. 9085-9097, Nov. 2016.

Lei Wang and Maciej J Zawodniok, “RSSI-based localization in cellular networks,” IEEE 37th Conference on Local Computer Networks Workshops (LCN2012), 2012, pp. 820–826.

Lei Wang and Maciej J Zawodniok, “Sensor nodes Localization Using Cellular Network,” Proceedings of the 7th Annual ISC Graduate Research Symposium, Rolla, Missouri, ISC-GRS 2013.