Applied Machine Learning

Rudi Coppola

M.S., Electrical and Computer Engineering

Wireless communication Applied Machine Learning FMCW radar

Rudi Coppola is a Master's student under the supervision of Professor Mohamed-Slim Alouini at Communication Theory Lab (CTL) at King Abdullah University of Science and Technology (KAUST). Education and Early Career Rudi completed his Bachelor’s Degree in Electronic Engineering from the University of Pisa in 2019. He has also collaborated with 'e-team', the university’s racing team, under the electronic division. In the same year, he was admitted to KAUST as a Master's student. In 2021 he earned a Master's degree in Electrical Engineering at KAUST, presenting his thesis on radar-based road

Christos Sapsanis

M.S., Electrical and Computer Engineering

Mixed-Mode ASIC Design Biomedical Signal Processing embedded systems sensors Applied Machine Learning

Education Profile : - Ph.D. Candidate, Electrical and Computer Engineering, Johns Hopkins University, Baltimore, MD, USA. - M.Sc., Electrical Engineering (Electrophysics), King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, 2015. - B.Sc., Electrical and Computer Engineering, University of Patras, Greece, 2013. Introduction: Christos Sapsanis obtained his M.Sc. Degree in the Electrical Engineering (EE) Program from King Abdullah University of Science and Technology, under the supervision of Prof. Khaled Nabil Salama. Before joining KAUST, he earned his B.Sc. in Electrical