Mohammad Moghimi

Mohammad Moghimi is a first-year PhD student in the SFI Centre for Research Training in Artificial Intelligence at the University of Limerick, where he is supervised by Dr. Patrick Healy.

He is working on a series of innovative projects for Smart Transport including Electric and self-driving (autonomous) vehicles. His research focuses on Sound Event Detection, as a Sound Assistance, for Driverless Cars. In his project, he uses Artificial Intelligence methods, especially Neural Networks and deep learning, to detect some important sound events, such as the siren of Emergency Vehicles, tire skidding, car crashes, and weird engine sounds. The purpose of this project is to increase safety and trust in driverless cars by detecting unseen events and hazards.

Mohammad did his MSc in Electronic Engineering from Iran where his thesis was related to Sound and Music processing. Prior to joining the CRT-AI funded PhD programme, Mohammad worked as a teacher and an advisor to students with Signal and Sound processing theses, a programmer and Signal processing research assistant at the Meymed Company, a Sound Engineer and Guitar player in some international concerts and studios.

In his spare time, he enjoys searching, reading books, teaching and playing the classic guitar, and listening to music.