ESR8. Keivan Khosroshahi
Short biography
My progress began when I entered NODET High School (National Organization for Development of Exceptional Talents) after passing the entrance exam. After completing my schooling, I enrolled in the Electrical Engineering program at one of the top universities in Iran. I performed well during my B.Sc. studies, maintaining a high ranking in the Electrical Engineering Department at the Iran University of Science and Technology, which allowed me to continue into the M.Sc. program without the entrance exam. I worked even harder and graduated with M.Sc. degree in Telecommunication in September 2021. In early 2022, I was hired by CNRS as an Industrial Early Stage Researcher (ESR) for the 5GSmartFact project and began my PhD journey in the Laboratory of Signals and Systems (L2S) at CentraleSupélec, Paris-Saclay University.
Short description of project objectives
Recently, Metamaterial surfaces have shown great potential in increasing the spectrum and energy efficiency of wireless communications. Furthermore, they are also expected to assist the integrated sensing and communication (ISAC) by providing better sensing. Utilizing these antennas lead to enhancement of sensing and communication performance in ISAC by offering a finer controllability of the antenna beam pattern. However, new challenges appear that need to be elaborated carefully in order to benefit from this technology. The main objective is to detect different targets while satisfying requirements of communicating with users. There are different metrics for both functions. For instance, for target detection, beam pattern gain, target detection probability and Cramér-Rao Bound (CRB) for target estimation, and for communications, SINR can be used. So far, during the two months that I started my PhD program, I tried to fully understand the problem and state of art developments in this area. My aim is to use specific metamaterial antenna named Reconfigurable holographic surface to solve the problem more efficiently. However, before starting to tackle the problem, it is required to completely obtain a proper model for signal propagation inside the surface.