DC13 – AI-assisted study and forecast of field performances of probe cards for EWS applications
Mehdi Bejani is an accomplished researcher with a strong academic background in Electrical Engineering. He obtained his B.S. degree from Shahid Rajaee University in 2007 and followed it up with an M.Sc. degree from Islamic Azad University in 2011.
His research journey led him to Universidad Politécnica de Madrid (UPM), where he specialized in utilizing machine-learning techniques for the early diagnosis of Parkinson’s disease. Presently, he holds a research position at POLIMI, Italy, actively contributing to the MIRELAI EU project.
Mehdi’s wide-ranging research interests encompass machine learning, semiconductor technologies, eye tracking, EEG analysis, Parkinson’s disease diagnosis, multimodal affective computing, as well as image and speech processing. He has also made significant contributions to the field, having authored 5 journal papers and 2 conference papers.
“I am thrilled to be a part of the MIRELAI network, and my motivation stems from the profound impact this research project can have on the semiconductor industry. I am passionate about the opportunity it provides to work as a researcher or engineer, contributing to the development and commercialization of innovative AI-assisted tools for the design, testing, and manufacturing of probe cards.”
Mehdi Bejani – DC13
Host name: POLIMI
Supervisor: Prof Stefano Mariani (POLIMI)
Co-supervisor: Alberto Corigliano (POLIMI)
Host name: Technoprobe
Supervisor: Dr Raffaele Valluri (Technoprobe)
Co-supervisor: Marco Mauri (Technoprobe)
Host name: PCCL
Supervisor: Prof Dieter Gruber
