Imperial College London


Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Tanaka Chair in Internet Technology



+44 (0)20 7594 6238kin.leung Website




Miss Vanessa Rodriguez-Gonzalez +44 (0)20 7594 6267




810aElectrical EngineeringSouth Kensington Campus






Please also visit my personal website at


Professional Experience

  • Electrical and Electronic Engineering, and Computing Depts, Imperial College
    - Tanaka Chair Professor in Internet Technology (2004-now)
  • Wireless Technology Research Dept, Bell Labs, Lucent Technologies
    - Distinguished Member of Technical Staff (2002-2004)
  • Broadband Wireless Systems Research Dept, AT&T Labs
    - Technology Consultant (1997-2002)
    - Principal Technical Staff Member (1996-97)
    - Distinguished Member of Technical Staff (1996)
  • Teletraffic Theory & System Performance Dept, AT&T Bell Laboratories
    - Distinguished Member of Technical Staff (1994-96)
    - Member of Technical Staff (1986-94)


  • 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

  • Member of Academia Europaea, 2012
  • Royal Society Wolfson Research Merit Award, 2004-2009
  • IEEE Fellow for contributions to "Performance analysis, protocol design and control algorithms for communications networks," 2001
  • Lanchester Prize Honorable Mention Award, 1997
  • Bell Labs Distinguished Member of Technical Staff Award, 1994


Journal Editor

  • ACM Computing Survey
  • International Journal of Sensor Networks


Current Research Interests

  • Wireless communications: resource allocation, power control, spread spectrum, link adaptation, MAC, 3G and 4G cellular networks, IEEE 802.11 and 802.16 networks, wireless TCP/IP, QoS, network protocols
  • Communication networks: TCP/IP, mobility management, network architecture, real-time applications, network control protocols, traffic modeling
  • Stochastic modeling and queueing theory

For Kin's recent research papers, visit



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

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

Dai Y, Guan YL, Leung KK, et al., 2021, Reconfigurable intelligent surface for low-latency edge computing in 6G, Ieee Wireless Communications Magazine, Vol:28, ISSN:1070-9916, Pages:72-79

Zeng Q, Du Y, Huang K, et al., 2021, Energy-efficient resource management for federated edge learning with CPU-GPU heterogeneous computing, Ieee Transactions on Wireless Communications, Vol:20, ISSN:1536-1276, Pages:7947-7962

Zhang Z, Ma L, Leung KK, et al., 2021, More is not always better: an analytical study of controller synchronizations in distributed SDN, Ieee/acm Transactions on Networking, Vol:29, ISSN:1063-6692, Pages:1580-1590

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