Hi, I’m Zeming Zhuang (庄泽铭), currently studying for a M.S. degree in Information and Communication Engineering at iData Lab in ShanghaiTech University. I was formerly advised by Prof. Yang Yang and currently advised by Prof. Yuanming Shi and Prof. Dingzhu Wen.

My research interest includes optimization and ML methods in resource allocation and deployment of integrated-sensing-communication-computation and wireless communication (edge computing) networks.

I am currently searching for PhD positions (Fall 2024).

Please feel free to access my CV and contact me through Email.

📖 Educations

  • 2021.09 - 2024.06 (now), M.S. in Information and Communication Engineering, School of Information Science and Technology, ShanghaiTech University, China.
  • 2017.09 - 2021.06, B.S. 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

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