Profiles

Abla Kammoun  received the Engineering degree in Signals and Systems from the Tunisia Polytechnic School, La Marsa, Tunisia, and the M.Sc. and Ph.D. degrees in Digital Communications from Télécom ParisTech, Paris, France (formerly École Nationale Supérieure des Télécommunications). From 2010 to 2012, she was a Postdoctoral Researcher with the TSI Department at Télécom ParisTech, and then worked at Supélecwithin the Alcatel-Lucent Chair on Flexible Radio until 2013. She is currently a Senior Research Scientist at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. Her research interests include performance analysis of wireless communication systems, random matrix theory, and statistical signal processing.

José Maria earned his Bachelor of Engineering in Electronic Engineering, with a minor in Telecommunications, from Universidad Peruana de Ciencias Aplicadas (UPC) in Lima, Peru, in 2018. During his undergraduate studies, he was awarded a partially funded scholarship in 2013. In 2018, he received funding for a research project through the VII Annual Research Incentive Competition at UPC, which led to the publication of a paper and a presentation at the XXII Symposium on Image, Signal Processing, and Artificial Vision (STSIVA) in 2019.

José Maria began his career with internships at IBM Peru, first as a Computer Specialist and later as a Software Developer. His interest in the Internet of Things (IoT) grew, leading him to become a speaker at various universities, where he taught IoT and Machine Learning. He focused on using single-board computers to connect multiple devices and leverage environmental data. José Maria has worked on several research projects at UPC, including a notable Digital Image Processing project aimed at developing a reliable method for diagnosing health issues in coffee plants using machine learning in Python, providing early diagnosis tools for cultivators.

José Maria is proficient in Python, Java, and machine learning technologies. His research interests lie in leveraging machine learning to enhance communication methods, with a focus on coding and modulation, Smart Grid technologies, and satellite networks. He is passionate about the Internet of Things (IoT) and has shared his knowledge as a speaker at various universities, teaching IoT and Machine Learning. His sessions emphasize the use of single-board computers for data-driven device connectivity, showcasing practical applications of these technologies.

Karim is a graduate from Bauman Moscow State Technical University. He received a specialist degree in a field of electrical engineering (2014 – 2020), with a focus on radars and wireless communications. He worked at part-time job as embedded systems and DSP engineer for 2.5 years. After that he had internship in summer of 2019 at Huawei Russian Research Institute (RRI) and after graduating from university, he worked at Huawei RRI for 1 year. During his job he improved receiver’s sensitivity applying some convex and non-convex optimization approaches and provide some dimensionality reduction approaches for system identification.

Nowadays Karim works in topics related to Joint Sensing And Communication (JSAC), quantum computing and communications over unlicensed spectrum.

Adaptive algorithms in wireless communications, Radar signal processing and machine learning. Quantum computing.

Zhengying Lou is a Ph.D. student at King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia. She received her B.S. degree in Communication Engineering from University of Electronic Science and Technology of China in 2021. In 2022, she received her M.Sc. degree in Electrical and Computer Engineering from KAUST. Her current research interests include stochastic geometry and wireless networks.

Zhengying Lou's research interests include Unmanned Aerial Vehicle and Optimization.