Xueyuan(Sharon) Wang

I completed my Ph.D. from Syracuse University in July 2021. I work on artificial intelligence, machine learning and wireless communication. My recent work focuses on (1) how to use machine learning for solving complex optimizations problems, and (2) analysis and algorithms in wireless networks. I study these questions using methods and models from stochastic geometry and multiagent systems. On this website, you can find our more about my research, publication, teaching, and professional activities.

Links to: Google Scholar, ResearchGate, GitHub

Great News!

🎆 Xueyuan has been selected as a winner of the 2022 All University Doctoral Prize！

🎆“Resilient UAV Path Planning for Data collection under Adversarial Attacks” has been accepted in IEEE International Conference on Communications (ICC) 2022!

🎆“Learning-Based UAV Path Planning for Data Collection with Integrated Collision Avoidance” has been accepted in IEEE Internet of Things Journal!

Education

Ph.D., Electrical and Computer Engineering, Syracuse University, Syracuse, NY, 2021
M.S., Electrical Engineering, Syracuse University, Syracuse, NY, 2016
B.S., Electric Science and Technology, Beijing University of Posts and Telecommunications, Beijing, China, 2013

Research Interests

Autonomous systems
Heterogeneous millimeter wave cellular networks
Internet of things networks
Unmanned aerial vehicles- enables networks
Machine learning
Stochastic geometry

Honors and Awards

Winner of 2022 All University Doctoral Prize - Syracuse University
Winner in Engineering and Computer Science 2021 Research Day - Syracuse University
The LePage Fellowship award - Syracuse University
Certified in University Teaching, Future Professoriate Program - Syracuse University
Distinguished Contribution Award of BUPT - Beijing University of Posts and Telecommunications
Entertainment Committee Activists of Electronic Engineering department - BUPT
Outstanding Student League Cadres of Electronic Engineering department - BUPT

Contact

Email: xwang173@syr.edu