About Me
My name is Wei Yang Bryan Lim (林伟杨).
I am an Assistant Professor with the Nanyang Technological University (NTU)'s School of Computer Science and Engineering (SCSE) since September 2023.
Previously, I was a Wallenberg-NTU Presidential Postdoctoral Fellow, affiliated with the Alibaba-NTU Joint Research Institute and KTH Royal Institute of Technology. I successfully defended my thesis and completed the Alibaba-NTU Ph.D. Talent Programme in April 2022. Before then, in 2019, I graduated from National University of Singapore (NUS) with two first-class honours.
You may find my google scholar profile here. If you are interested to collaborate with me or just have a chat, you may reach me at bryan.limwy(ατ)ntu.edu.sg
Key Updates
Feb-24: Our FYP student, Delon Lim, has his work accepted in the INFOCOM 2024 demo track. This is also featured in the SCSE openhouse.
Feb-24: We host delegates from Alibaba Cloud at NTU. Exciting collaborations on AI x Model as a Service x Sustainability are coming up.
Sep-23: Joined NTU.
Selected Recognitions
Alibaba Talent Programme: Most Promising Industrial Postgraduate Programme Student Award
IEEE Technical Community on Scalable Computing (TCSC) Outstanding Ph.D. Dissertation Award
IEEE Asia Pacific Board (APB) Outstanding Paper Award 2022
Wallenberg-NTU Presidential Postdoctoral Fellowship award
Best paper award – IEEE Wireless Communications and Networking Conference (IEEE WCNC 2020)
Best paper award – IEEE ComSoc Signal Processing and Computing for Communications (SPCC) Technical Committee best paper
Best paper award – IEEE International Conference on Trust, Security and Privacy in Computing and Communications (IEEE Trustcom 2021)
Best paper award – 19th International Conference on Wireless Networks and Mobile Systems (WINSYS 2021)
Best paper award – ACM Mobicom-Dronecom Workshop 2020
20th IEEE International Conference on Embedded and Ubiquitous Computing (IEEE EUC 2022) Outstanding Leadership Award
Dean's List (Five times, with NUS during undergraduate studies)
References
During my Ph.D., I was most fortunate to have been mentored by outstanding scholars such as Prof. Chunyan Miao, Prof. Dusit Niyato, and Prof. Cyril Leung. Our focus on borderless collaborations has also gifted me the precious opportunities to work with internationally-renowned scholars, some of whom have very kindly agreed to be my academic referees, including : Prof. HV Poor, Prof. Qiang Yang, and Prof. Ying-Chang Liang.
Research Grants
Principal Investigator, NTU Startup Grant
Principal Investigator, Wallenberg-NTU PPF
Collaborator, MOE Tier 1, "Reputation-driven Optimized Worker Selection for Collaborative Distributed Learning".
Collaborator, MoE AcRF Tier 1 Thematic Call for Bringing the Metaverse to Reality: Technical Challenges and Other Issues
Academic Services (that I can recall)
TPC member: International Workshop on Federated Learning in the Age of Foundation Models @ IJCAI 2024
TPC member: Federated Learning workshop@WWW
Co-editor: FGMV-08 "Design criteria and technical requirements for sustainable metaverse ecosystems" International Telecommunication Union (ITU)
Technical Review Board, IEEE Transactions on Parallel & Distributed Systems (TPDS)
TPC member: IEEE ISPA 2023 ( IEEE International Symposium on Parallel & Distributed Processing with Applications), ChinaCom 2023, TrustCom 2023
Workshop Chair: IEEE Sustainable Computing and Communications 2023
Session Chair: IEEE International Conference on Crowd Science and Engineering, held at NTU in 2023
TPC Member: FL workshop @ IJCAI 2023
Panel Interviewer: Alibaba PhD Talent Programme for the 2023 intake
Guest Editor: IEEE Wireless Communications Magazine
Review Editor, Frontiers in High Performance Computing and Frontiers in the Internet of Things
Assistant to the Editor-in Chief, IEEE Communications Surveys & Tutorials [2021-2022]
Program Vice Chair, IEEE International Conference on Embedded and Ubiquitous Computing (IEEE EUC'2022)
Session Chair, 17th International Conference on Mobility, Sensing and Networking (MSN 2021)
TPC Member, IEEE VTC-Spring-22, IEEE TrustCom-22, IEEE WCNC 2022, IEEE WCNC 2023, IEEE MetaCom 2023
TPC Member, International Workshop on Federated and Transfer Learning for Data Sparsity and Confidentiality in Conjunction with IJCAI 2021 (FTL-IJCAI 2021)
TPC Member, Workshop on Federated Learning held in conjunction with AAAI 2022 (AAAI-FL 2022)
Reviewer: IEEE TPDS, TNNLS, JSAC, TMC, TDSC, TWC, Network, Communications magazine, WCM, TVT, IoTJ, IJHCI, Scientific Reports, Proceedings of IEEE, and more.