Evariste Somé received PhD in Telecommunication Engineering, Master in Technology Cybersecurity and Policy degrees from the University of Colorado Boulder in 2023; Master and Bachelor degrees in Electrical Engineering respectively in 2015 & 2013 from Temple University - PA. He is Temporary Researcher in the Computer Science Department at the University of Colorado and works on cell analytics platform to produce analytical data reports, visualizations and information to yield research insights related to spectrum sharing.
Dr. Somé's research interests are in wireless communication networks, with emphasis on antenna array and applications. Current directions include Machine Learning (ML) and specifically Deep Learning for wireless communication systems. The key technical aspect would be to address how to employ advanced ML algorithms to dynamically learn the environment by continuously monitoring radio performance and judiciously adjusting the transmission parameters to achieve system-wide optimal spectrum usage and resource efficiency for wireless communications and networks. These solutions include advanced interference management techniques, better coding and transmission schemes that increase spectral efficiency. This should have a transformative impact on wireless communication systems, which includes implementing more complex beamforming in 5G, 6G, and non-terrestrial networks.
Dr. Somé has published 7 research papers in top conferences and journals. Papers highlights include MMSE performance on MIMO; coherent of multichannels with software-defined radio and using injection-locking and GPS signal to establish a common signal source for simultaneous ADCs sampling; cybersecurity and driverless cars for a normative way of safety. Dr Somé has been an active member of IEEE, SpectrumX, and National Radio Dynamic Zone groups.