Qiang John Ye

Dr. Qiang (John) Ye

PhD, SMIEEE

Affiliations

Assistant Professor

Schulich School of Engineering, Department of Electrical and Software Engineering

Contact information

Location

Office: ICT352B

I'm looking for...

Study participants

I'm looking for highly self-motivated PhD/MSc students. Please email your CV, transcripts, publications (if any), and TOFEL/IELTS results (subject line: Prospective [MSc/PhD] Student - [Your Name]).

Background

Credentials

IEEE Senior Member, IEEE, 2022

Associate Editor, IEEE Transactions on Vehicular Technology, 2023

Regions 7 Chapter Coordinator, IEEE Vehicular Technology Society (VTS), 2024

Associate Editor, IEEE Transactions on Cognitive Communications and Networking, 2022

Associate Editor, IEEE Open Journal of the Communications Society, 2021

Educational Background

Ph.D. Electrical and Computer Engineering, University of Waterloo, 2016

M.E. Communication and Information System, Nanjing University of Posts and Telecommunications, 2012

B.E. Network Engineering, Nanjing University of Posts and Telecommunications, 2009

Biography

Qiang (John) Ye received the PhD degree in Electrical and Computer Engineering from the University of Waterloo, ON, Canada, in 2016. Since Sept. 2023, he has been an Assistant Professor with the Department of Electrical and Software EngineeringSchulich School of EngineeringUniversity of Calgary, AB, Canada. Before joining UCalgary, he worked as an Assistant Professor with the Department of Computer ScienceMemorial University of Newfoundland, NL, Canada from Sept. 2021 to Aug. 2023 and with the Department of Electrical and Computer Engineering and TechnologyMinnesota State University, Mankato, USA, from Sept. 2019 to Aug. 2021, respectively. He was with the Department of Electrical and Computer EngineeringUniversity of Waterloo as a Postdoctoral Fellow and then a Research Associate from Dec. 2016 to Sept. 2019. He has published over 70 research articles on top-ranked journals and conference proceedings. He is/was the General, Publication, Program Co-chairs for different reputable international conferences and workshops, e.g., IEEE ICCC'23, CANAI'23, IEEE VTC’22, IEEE INFOCOM’22, and IEEE IPCCC’21. He serves/served as Associate Editors of IEEE Transactions on Vehicular Technology, IEEE Transactions on Cognitive Communications and Networking, IEEE Open Journal of the Communications Society, Peer-to-Peer Networking and Applications, ACM/Wireless Networks, and International Journal of Distributed Sensor Networks. He also serves/served as the IEEE Vehicular Technology Society (VTS) Region 7 Chapter Coordinator (2024) and the Regions 1-7 Chapters Coordinator (2022-2023), and the IEEE Communications Society Southern Alberta Chapter Vice Chair (2024). Dr. Ye received the Best Paper Award in the IEEE/CIC International Conference on Communications in China (ICCC) in 2024 and the IEEE Transactions on Cognitive Communications and Networking Exemplary Editor Award in 2023. Dr. Ye has been has been named among the World’s Top 2% Scientists in 2023 and 2024 (by Stanford/Elsevier). He is a Senior Member of IEEE.

Research

Areas of Research

AI-assisted B5G/6G wireless networking, network slicing, edge intelligence, digital-twin-assisted networking, autonomous vehicular networks, and protocol design for Internet-of-Things.

Awards

  • Best Paper Award, IEEE/CIC International Conference on Communications in China (ICCC). 2024
  • World’s Top 2% Scientists, (by Stanford University). 2024
  • IEEE Transactions on Cognitive Communications and Networking (TCCN) Exemplary Editor Award, IEEE Communications Society. 2023

Publications

  • Joint RAN Slicing and Computation Offloading for Autonomous Vehicular Networks: A Learning-Assisted Hierarchical Approach. Q. Ye, W. Shi, K. Qu, H. He, W. Zhuang, and X. Shen. IEEE Open Journal of Vehicular Technology (OJVT). vol. 2, pp. 272-288. (2021)
  • Model-Assisted Learning for Adaptive Cooperative Perception of Connected Autonomous Vehicles. K. Qu, W. Zhuang, Q. Ye, W. Wu, and X. Shen. IEEE Transactions on Wireless Communications. to appear. (2023)
  • End-to-End Delay Modeling for Embedded VNF Chains in 5G Core Networks. Q. Ye, W. Zhuang, X. Li, and J. Rao. IEEE Internet of Things Journal (IoT-J). vol. 6, no. 1, pp. 692-704. (2019)
  • Joint Computation Offloading and Resource Allocation for Maritime MEC with Energy Harvesting. Z. Wang, B. Lin, Q. Ye, Y. Fang, and X. Han. IEEE Internet of Things Journal (IoT-J). to appear. (2023)
  • Dynamic Radio Resource Slicing for a Two-Tier Heterogeneous Wireless Network. Q. Ye, W. Zhuang, S. Zhang, A. Jin, X. Shen, and X. Li. IEEE Transactions on Vehicular Technology (TVT). vol. 67, no. 10, pp. 9896-9910. (2018)
  • Token-Based Adaptive MAC for a Two-Hop Internet-of-Things Enabled MANET. Q. Ye and W. Zhuang. IEEE Internet of Things Journal (IoT-J). vol. 4, no. 5, pp. 1739-1753. (2017)
  • Distributed and Adaptive Medium Access Control for Internet-of-Things-Enabled Mobile Networks. Q. Ye and W. Zhuang. IEEE Internet of Things Journal (IoT-J). vol. 4, no. 2, pp. 446-460. (2017)
  • Traffic Load Adaptive Medium Access Control for Fully-Connected Mobile Ad hoc Networks. Q. Ye, W. Zhuang, L. Li, and P. Vigneron. IEEE Transactions on Vehicular Technology (TVT). vol. 65, no. 11, pp. 9358-9371. (2016)
  • Learning-Based Computing Task Offloading for Autonomous Driving: A Load Balancing Perspective. Q. Ye, W. Shi, K. Qu, H. He, W. Zhuang, and X. Shen. Proc. of IEEE ICC -- IEEE International Conference on Communications. Montreal, Quebec, Canada, June 14-23. (2021)
  • End-to-End Quality of Service in 5G Networks: Examining the Effectiveness of a Network Slicing Framework. Q. Ye, J. Li, K. Qu, W. Zhuang, X. Shen, and X. Li. IEEE Vehicular Technology Magazine (MVT). vol. 13, no. 2, pp. 65-74. (2018)