October 2025: New project on safety verification for LLMs funded by Open Philantropy (news story).
September 2025: Spotlight paper (top 3.1%) paper at NeurIPS 2025.
July 2025: News story about our work on Bayesian quantum sensing
June 2025: News story about the neuromorphic quantum spiking neuron proposed by our group.
June 2025: Best paper award at 2025 IEEE ISIT Workshop "Learn to Compress and Compress to Learn" (for this work)
June 2025: ERC Advanced project CONTRACT
May 2025:Best paper award at IEEE ICC 2025
April 2025: Spotlight paper (top 2.6%) paper at ICML 2025.
November 2024: Introducing our ARIA-funded project for the Scaling Compute program
October 2024: My inaugural lecture, 2024
March 2024: A hardware implementation of NeuroComm from Brown University
December 2023: CENTRIC project introduction video
July 2023: Received funding from the EPSRC to explore brain-inspired computing in 6G telecommunications (news story).
July 2023: Joining the Editorial Board of IEEE Journal on Selected Areas in Communications.
January 2023: The Centre for Telecommunication Research (CTR) is among the founding partners in a new £12 million telecommunications project (King's news story).
December 2022: "Machine Learning for Engineers" is out on Cambridge University Press.
October 2022: Elected to the Board of Governors of the IEEE Information Theory Society.
October 2022: Received an Open Fellowship of the EPSRC -- King's news story
July 2022: "An Introduction to Quantum Machine Learning for Engineers" is out on Now Publishers.
June 2022: UK & Ireland Chapter of the IEEE Information Theory Society received the IEEE Information Theory Society Chapter of the Year Award 2022.
May 2022: IEEE DLSW Best Student Paper Award Runner Up for this paper.
April 2022: IEEE Communications Society Outstanding Paper Award for this paper.
June 2021: IEEE Veh. Techn. Society 2021 Jack Neubauer Memorial Award recognizing the best systems paper published in the IEEE Trans. Veh. Techn. for this paper (in the news)
June 2021: IEEE DLSW Audience Choice award for this paper.
November 2019: The IEEE Signal Processing Magazine special issue on Brain-Inspired computing is published and available here.
Full videos are available for LSIT 2019 here.
April 2019: 2019 IEEE Communication Society Best Tutorial Paper Award for the paper "Energy harvesting wireless communications: A review of recent advances," (see here) published on IEEE Journal on Selected Areas in Communications in Mar. 2015.
Free registration is open for the London Symposium on Information Theory.
November 2018: 2018 IEEE Signal Processing Best Paper Award for the paper "Joint precoding and multivariate backhaul compression for the downlink of cloud radio access networks" (see here) published on IEEE Tran. Signal Processing in Nov. 2013.
Post-Doc and PhD positions available. Please contact me if interested.
September 2017: MIT Technology Review highlights "A brief introduction to machine learning for engineers".
August 2017: IEEE Spotlight covers our recent work on edge computing for AR applications.
April 2017: JCN Best Paper Award for this paper.
2017-2018: Distinguished lecturer of IEEE Information Theory Society.
February 2017: Publication of the book "Cloud Radio Access Networks" co-edited with Tony Quek, Mugen Peng and Wei Yu.
November 2016: Received an ERC Consolidator Grant.
June 2016: Elevated to the rank of Professor.
Jan. 2016: Elevated to IEEE Fellow for contributions to cooperative cellular systems and cognitive radio networks.
Fall 2015: On sabbatical at Imperial College, London.
July 2015: 2015 IEEE Communication Society Best Tutorial Paper Award for the paper "Multi-cell MIMO Cooperative Networks: A New Look at Interference" published on IEEE Journal on Selected Areas in Communications in Dec. 2010.