Zeming Zhuang

Zeming Zhuang

Clemson University

Hi, I’m Zeming Zhuang (庄泽铭), currently studying for a Ph.D. degree in Clemson University advised by Prof. Lan Emily Zhang. I received my master degree in Information and Communication Engineering at iData Lab in ShanghaiTech University advised by Prof. Yang Yang, Prof. Yuanming Shi and Prof. Dingzhu Wen.

My research interest includes optimization and machine learning methods in resource allocation and deployment of integrated-sensing-communication-computation and other distributed networks such as federated learning.

Please feel free to access my CV.

📖 Educations

  • 2024.08 - present, Ph.D. in Electrical and Electronics Engineering, Holcombe Department of Electrical and Computer Engineering, Clemson University, U.S.
  • 2021.09 - 2024.06, Master of Science in Information and Communication Engineering, School of Information Science and Technology, ShanghaiTech University, China.
  • 2017.09 - 2021.06, Bachelor of Science in Electrical Information Engineering, School of Information Science and Technology, ShanghaiTech University, China.
  • 2017.09 - 2021.06, Minor in Finance, School of Entreprenuership and Management, ShanghaiTech University, China.

🔥 News

  • 2023.08:  🎉🎉 Paper on decentralized full duplex aircomp is accepted and will be presented at 2023 IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia.
  • 2023.06:  🎉🎉 Paper on ISAC enabled collaborative edge inference is accepted by IEEE Transactions on Wireless Computing (TWC).

📝 Publications

  • Z. Zhuang, D. Wen, Y. Shi, G. Zhu, S. Wu and D. Niyato, “Integrated Sensing-Communication-Computation for Over-the-Air Edge AI Inference”, IEEE Transactions on Wireless Communications (TWC) [pdf]
  • Z. Zhuang, D. Wen, Y. Shi, “Decentralized Over-the-Air Computation for Edge AI Inference with Integrated Sensing and Communication”, 2023 IEEE Global Communications Conference (GLOBECOM), Kuala Lumpur, Malaysia [pdf] [slide]
  • J. Guo, K. Li, H. Li, W. Liu, Z. Zhuang, Y. Zhou and Y. Yang, “Markov State Transition Modeling in Complex High-Dimensional State Space Based on Fuzzy Integral”, 2022 IEEE Global Communications Conference Workshops (GC Wkshps), Rio de Janeiro, Brazil [pdf]

🎖 Honors and Awards

  • 2023 Nov, ShanghaiTech Merit Student (Top 10%)

🧑‍🏫 Teaching Assistant Experience

  • Convex Optimization (2023 Fall)
  • Introduction to Information Science and Technology (2021 & 2022 Fall)