Ali Maatouk

I am a research engineer at the Advanced Wireless Technology Lab, Huawei Technologies, France, working on data-driven optimization of 5G networks. Mainly, my work consists of developing mathematical models based on large-scale data and elaborating optimization frameworks and machine-learning techniques to improve the reliability and performance of 5G networks. For my contributions, I was the recipient of the 2021 Huawei Future Star award, the 2021 Huawei New Employee award, and the 2021 Galloping Horse award. Prior to that, I conducted my PhD research on wireless networks optimization jointly between CentraleSupélec and the University of Maryland, College Park under the supervision of Prof. Mohamad Assaad and Prof. Anthony Ephremides, respectively. For my PhD, I received the 2020 Paris-Saclay PhD award for one of the best scientific contributions. Before that, I received my MSc degree in advanced wireless communications systems from CentraleSupélec in 2017. For my MSc thesis internship, conducted on mMIMO and NOMA systems at Sequans Communications, I received both the regional and national André Blanc-Lapierre awards for best master's student in France in the domain of electricity, information technology, and communication.

My research interests are in the broad areas of mathematical modeling and data-driven optimization of 5G systems, machine learning, 5G and beyond systems design, and the notion of semantics-empowered communications. During my research journey, I have published 20+ articles in high-ranking journals and international conferences and served as a reviewer and chair for the top venues in the field. I also had the privilege of presenting multiple tutorials at flagship conferences such as ICC'21 and Globecom'21 and have been invited to give talks at various top institutions worldwide.

Above all, I consider myself lucky for having been able to work with extraordinary mentors and colleagues, meet exceptional friends, and explore beautiful countries thanks to my professional journey.