Dr Des McLernon
- Position: Reader
- Areas of expertise: Statistical signal processing; wireless sensor networks; energy efficient robotic communications; physical layer security; heterogeneous (cognitive) networks; M2M, D2D and drone-based comms.
- Email: D.C.McLernon@leeds.ac.uk
- Phone: +44(0)113 343 2050
- Location: 266 School of Electronic and Electrical Engineering
- Website: Googlescholar
Des McLernon received his B.Sc in electronic and electrical engineering and his MSc in electronics, both from the Queen’s University of Belfast, N. Ireland. He then worked on radar systems research and development with Ferranti Ltd in Edinburgh, Scotland and later joined Imperial College, University of London, where he took his PhD in signal processing. His research interests are broadly within the domain of signal processing for wireless communications (in which area he has published over 330 journal and conference papers). He has supervised over 50 PhD students and is associate editor of IET journal “Signal Processing”. Recent conference organisation includes IEEE SPAWC 2010, European Signal Processing Conference (EUSIPCO) 2013, IET Conference on Intelligent Signal Processing (London, 2013/2015/2017) and IEEE Globecom 2014/2015/2016 (Workshop on Trusted Communications with Physical Layer Security). Finally, in what spare time remains he plays jazz piano in bars and restaurants and recently came second in the 2018 Leeds Pub Piano Competition (https://leedspubpiano.com).
COVID-19 UPDATE: On 17th May 2020 I posted four short 30 min videos on “TESTING FOR SARS-COV-2 VIRUS FROM AN ENGINEERING PERSPECTIVE” and the channel can be found here:https://www.youtube.com/channel/UCsTlsHskxv7fDZ_PWT0X1fw
These are just looking at the similarities between the maths of virus testing and what we might also use on the first year of an undergraduate engineering degree. Finally, there is nothing mathematically more difficult than would have been studied in the last year of a school maths class.
His current research projects include PHY layer security, M2M comms/caching in hetereogeneous networks, energy harvesting for comms, robotic communications, SDNs, distributed sensing, stochastic geometry, multi-packet reception, through the wall radar, drone small-cell comms and spectrum sensing for cognitive radio.
- BSc/MSc (Queen's University Belfast, N. Ireland)
- PhD/DIC (Imperial College, London)
Research groups and institutes
- Institute of Robotics, Autonomous Systems and Sensing