Shervin Shirmohammadi received his Ph.D. in Electrical Engineering in 2000 from the University of Ottawa, Canada, and after spending 3 years in the industry as a senior architect and project manager, joined as Assistant Professor the same University, where since 2012 he has been a Full Professor with the School of Electrical Engineering and Computer Science. He is Director of the Discover Laboratory, doing research in machine learning-assisted measurements, especially vision-based measurement, IoT measurements, and multimedia and network measurements. The results of his research, funded by more than $28 million from public and private sectors, have led to over 400 publications, over 70 researchers trained at the postdoctoral, PhD, and Master’s levels, 30+ patents and technology transfers to the private sector, and four Best Paper awards. He is the founding Editor-in-Chief of the IEEE Open Journal of Instrumentation and Measurement, was the Editor-in-Chief of the IEEE Transactions on Instrumentation and Measurement from 2017 to 2021, the Associate Editor-in-Chief of the IEEE Instrumentation and Measurement Magazine in 2014 and 2015, and is currently on the latter’s editorial board.
He has been an IEEE Instrumentation and Measurement Society (IMS) AdCom member since 2014, currently serves as its Executive Vice President, and was a member of the IEEE I 2 MTC Board of Directors from 2014 to 2016.
Dr. Shirmohammadi is an IEEE Fellow “for contributions to multimedia systems and network measurements”, and recipient of the 2019 George S. Glinski Award for Excellence in Research, the 2021 IEEE IMS Distinguished Service Award, and the 2023 IEEE IMS Technical Award “for contributions to the advancement of machine learning-assisted measurements”.
