Summary
Please also visit my personal website for additional information at www.commsp.ee.ic.ac.uk/~kkleung/
Professional Experiences
- Electrical and Electronic Engineering, and Computing Depts, Imperial College (2004-now)
- Tanaka Chair Professor - Wireless Technology Research Dept, Bell Labs, Lucent Technologies (2002-2004)
- Broadband Wireless Systems Research Dept, AT&T Labs (1996-2002)
- Teletraffic Theory & System Performance Dept, AT&T Bell Labs (1986-1996)
Education
- Ph.D., University of California, Los Angeles (1985)
- M.S., University of California, Los Angeles (1982)
- B.S., The Chinese Univ. of Hong Kong, Hong Kong (1980)
Major Honors and Awards
- Fellow of Royal Academy of Engineering (2022)
- IEEE Fellow (2001)
- Member of Academia Europaea (2012)
- IET Fellow (2021)
- Royal Society Wolfson Research Merit Award (2004-2009)
- Bell Labs Distinguished Member of Technical Staff Award (1994)
- IEEE Communications Society Distinguished Lecturer (2022-2023)
- US-UK Science and Technology Stocktake Award (2021)
- IEEE Communications Society Leonard G. Abraham Prize (2021)
- IEEE Communications Society Best Survey Paper Award (2022)
- Lanchester Prize Honorable Mention Award (1997)
Current Journal Editorship
- ACM Computing Survey
- International Journal of Sensor Networks
Current Research Interests
- Distributed optimization, machine learning and artificial intelligence
- Communication networks: System designs, protocols and control algorithms
- Wireless communications: Cross-layer optimization and multi-antenna systems
- Mobile, edge and distributed computing
- Stochastic models and network performance
For Kin's recent research papers, visit www.commsp.ee.ic.ac.uk/~kkleung/
Publications
Journals
Wang H, Liu CH, Yang H, et al., 2023, Ensuring Threshold AoI for UAV-Assisted Mobile Crowdsensing by Multi-Agent Deep Reinforcement Learning With Transformer, Ieee-acm Transactions on Networking, ISSN:1063-6692
Zafari F, Basu P, Leung KK, et al., 2023, Resource Sharing in the Edge: A Distributed Bargaining-Theoretic Approach, Ieee Transactions on Network and Service Management, Pages:1-1
Chen Z, Leung KK, Wang S, et al., 2022, Use coupled LSTM networks to solve constrained optimization problems, Ieee Transactions on Cognitive Communications and Networking, Vol:9, ISSN:2332-7731, Pages:304-316
Panigrahy NK, Vasantam T, Basu P, et al., 2022, On the Analysis and Evaluation of Proximity-based Load-balancing Policies, Acm Transactions on Modeling and Performance Evaluation of Computing Systems, Vol:7, ISSN:2376-3639
Jiang Y, Wang S, Valls V, et al., 2022, Model pruning enables efficient federated learning on edge devices, Ieee Transactions on Neural Networks and Learning Systems, ISSN:1045-9227, Pages:1-13