Profile
Sangarapillai Lambotharan is an expert in signal processing and wireless communications. He has unique experience in developing and analysing convex optimization and game theory–based resource allocation techniques for wireless communications, radar systems, and smart grids. He has contributed to advancing state-of-the-art physical-layer techniques in wireless communications, particularly in channel estimation, equalisation, beamforming, multi-input multi-output (MIMO) systems, reconfigurable intelligent surfaces (RIS), OFDM and OTFS, as applied to a range of communication technologies from 2G to beyond 6G networks.
Academic background
Sangarapillai Lambotharan received his Ph.D. degree in signal processing from Imperial College London, U.K., in 1997. He was a Visiting Scientist with the Engineering and Theory Center, Cornell University, USA, in 1996. Until 1999, he was a Postdoctoral Research Associate at Imperial College London. From 1999 to 2002, he was with the Motorola Applied Research Group, U.K., where he worked on various projects and received several Motorola recognition awards for his work on physical-layer modelling and performance characterisation of 2.5G and 3G networks. He was with King’s College London and Cardiff University as a Lecturer and a Senior Lecturer, respectively, from 2002 to 2007.
Research
His current research interests include signal processing; statistical estimation and detection; 6G networks; MIMO; blockchain; machine learning; network security; and radar systems. He has authored two book chapters and 300 journal and conference papers in these areas, which have been cited more than 7,700 times. His research has been supported by 13 Engineering and Physical Sciences Research Council (EPSRC) grants, one British Council Newton Fund grant, and several DSTL and industrial grants, totalling £8 million.
Interests and activities
Sangarapillai Lambotharan is a Fellow of the IET, a Fellow of the HEA, and a Senior Member of the IEEE. He serves as a Senior Area Editor for IEEE Transactions on Signal Processing and has served as an Editor for IET Signal Processing and IEEE Transactions on Communications.