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layout: about title: about permalink: / description: Ph.D. subtitle: Beijing University of Posts and Telecommunications.

profile: align: right image: prof_pic.jpg image_circular: false # crops the image to make it circular more_info: > <p>511 Research Building </p> <p>XiTuCheng Rd. #10</p> <p>Beijing, China, 100876</p>

news: true # includes a list of news items selected_papers: true # includes a list of papers marked as “selected={true}” social: true # includes social icons at the bottom of the page grants: true —

Dr. Zirui Zhuang (Associate Professor, PhD supervisor, MSc supervisor, Pioneering Scholar) is currently with the State Key Laboratory of Networking and Switching Technology[中文][English] and the School of Computer Science, Beijing University of Posts and Telecommunications (BUPT). He was also with the Institute of Network Technology from 2015 to 2020. Please see official page at [中文][English]. He is currently an full-time associate professor, and supervisor for PhD and MSc students.

He received his B.Eng. in electronic information engineering, and Ph.D. in information and communication engineering from Beijing University of Posts and Telecommunications[中文][English], in 2015 and 2020, respectively. He is advised by Professor Jingyu Wang during the course of his Ph.D. study.

In 2019, he visited the Department of Electrical and Computer Engineering, University of Houston, doing research on network routing and optimization, advised by Professor Zhu Han.

His research interests include network routing and management for next generation network infrastructures, using machine learning and artificial intelligence techniques, including deep learning, reinforcement learning, graph representation, multi-agent system, and Lyapunov-based optimization.

Recently, he has been focusing on the design of Knowledge-Defined Networking (KDN) framework which employs artificial intelligence (AI) for the next-generation networks (AI4Network), in settings of wired computer networks as well as wireless communication networks. The integration of knowledge promotes profound intelligence in networked systems by acquisition, extraction, optimization, and application of the best practices of network control and resource management. This new paradigm demands for more advanced theory, techniques, and procedures in the aspects of sensing, modelling, decision making, and interpretation, where the combination of human intelligence and artificial intelligence is a must. While there has been a trending research interest over the convergence of communication, computation, and control, the era of KDN and AI4Network is still at its early stage. There are broad but challenging research opportunities to be explored.

He is an active member of computer communication and signal processing communities. He joined the IEEE as a Graduate Student Member in 2018, and he became a professional Member in 2020. He is a reviewer for many high impact journals and international conferences, such as

• Journal reviewer
  • IEEE Journal on Selected Areas in Communications
  • IEEE Internet of Things Journal
  • IEEE Internet of Things Magazine
  • IEEE Systems Journal
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Network Science and Engineering
  • IEEE/ACM Transactions on Networking
  • IEEE Communications Letters
  • Future Generation Computer Systems
  • Knowledge-Based Systems
  • Artificial Intelligence in Medicine
  • Ad Hoc & Sensor Wireless Networks
  • Journal of Communications and Networks
  • Springer Journal of Cloud Computing: Advances, Systems and Applications
  • Scientific Reports
  • SN Applied Sciences
  • Results in Control and Optimization
• Conference reviewer
  • ACM ICMR 2023, 2024, 2025
  • ACM KDD 2024, 2025
  • ACM MM 2023, 2024
  • ACM UIST 2023
  • DASFAA 2024, 2025
  • ECMLPKDD 2023, 2024, 2025
  • IEEE Globecom 2023, 2024
  • IEEE ICCC 2020
  • IEEE PIMRC 2024
  • IEEE WCNC 2021(Workshops), 2022, 2024, 2025
  • MobiQuitous 2019
  • ITU-K 2024