Professor A. Manikas holds the Chair of Communications & Array Processing in the Department of Electrical & Electronic Engineering, Imperial College London, and he is a Fellow of the Institution of Engineering and Technology (IET), Fellow of the Institute of Mathematics and its Applications (IMA) and an IEEE Distinguished Lecturer (ComSoc).
He has published an extensive set of journal and conference papers in the area of digital wireless communications and array signal processing and is the Author of a book (monograph) entitled "Differential Geometry in Array Processing". He is currently on the Editorial Board of the IET Signal Processing, the Scientific World Journal (Communications), the Journal on Telecom and Digital Media of the Global Science and Technology Forum (GSTF) and the International Journal of Distributed Sensor Networks. He is also the Editor of the ICPress research book-series on Communications and Signal Processing.
He was the Technical Lead of the MOD-UK University Defence Research Centre in Signal Processing (DSTL/EPSRC) from 2008 until 2013 and has held a number of research consultancies for the EU, industry and government organisations. He has had various technical chairs at international conferences, including the TPC Chair of the IEEE International Conference on Communications in 2015 (IEEE ICC 2015 London). He has served as an Expert Witness in the High Court of Justice (UK) and was a member of the Royal Society's International Fellowship Committee (2008-2011). He is currently the vice-Chair of the IEEE Communications Technical Committee on Transmission, Access and Optical Systems (TAOS).
Professor Manikas is leading a strong group of researchers at Imperial College and has solely supervised successfully more than 45 PhDs and more than 150 Master students.
- Wireless positioning, localisation and tracking using large aperture antenna arrays
- Antenna array manifolds and channel capacity
- Spatiotemporal channel estimation and interference cancellation
- Space-time beamformers with massive mainlobe gain using an antenna array with limited number of antennas
- Massive and spatiotemporal MIMO: comparative studies of “non-parametric” and “parametric” approaches
- Designing and analysing current and future communication systems using Differential Geometry