Zhengang Guo (Jan 2020 - now) received the B.Eng. degree in mechatronic engineering from Northwestern Polytechnical University, Xi’an, China, in 2015. From 2015 to 2019, he was a Ph.D. student at Northwestern Polytechnical University, Xi’an, China. From 2018 to 2019, he was a visiting Ph.D. student at Cardiff University, Cardiff, U.K. He is currently working toward the Ph.D. degree in communications and signal processing at Imperial College London, London, U.K. He has authored 3 peer-reviewed international research papers. His research interests include signal and data processing, super-resolution inverse problems, smart manufacturing, complex network modeling and optimization. He serves as a peer reviewer for the IEEE Transactions on Industrial Informatics, the IEEE Transactions on Intelligent Transportation Systems, the IEEE Intelligent Transportation Systems Magazine, and the Journal of Cleaner Production.
Research Area: Signal and data processing, Super-Resolution Inverse Problems, Smart Manufacturing, Complex Network Modeling and Optimization

Mohamed A.E. Suliman (Oct. 2017 - Present) received the B.Sc. degree (with Hons.) in Electrical and Electronic Engineering from the University of Khartoum, Khartoum, Sudan, in 2013, and the M.Sc. degree in Electrical Engineering from the King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, in 2016. He is currently pursuing the Ph.D. degree with the Communications and Signal Processing (CSP) Group at Imperial College London, U.K. His research interest includes signal processing, super-resolution algorithms, optimization, Inverse problems, machine learning, big data analysis, and random matrix theory. He serves as a peer reviewer for the IEEE Transactions on Information Theory, IEEE Transactions on Signal Processing, and IEEE Access.
Research Areas: Signal processing, super-resolution algorithms, optimization, Inverse problems, machine learning, big data analysis, and random matrix theory.