Shervin Shirmohammadi, IEEE Fellow, SM-ACM, Ph.D., P.Eng.
Director of DISCOVER Lab
Professor (short bio)
School of Electrical Engineering and Computer Science
Faculty of Engineering
University of Ottawa, Canada
See my profile in: LinkedIn Google Scholar ResearchGate ORCID scopus ACM DL
Research

Machine Learning-Assisted Measurements
, specifically:

  • Fundamentals of Machine Learning in Measurement: VIM/GUM-compliant Uncertainty Quantification for Regression and Classification, Measurement Standards.
  • Vision Based Measurement: Human Activity Recognition, Driver Yawning Detection, Food Computing: Image-Based Calorie Measurement, Eating/Cooking Activity Recognition.
  • Multimedia Systems and Network Measurements: Autonomous Network Fault Diagnosis, Action Recommendation for Network Operation Centers, Network Delay Prediction, Bandwidth Prediction in Video Networks, Player Engagement Estimation in Games, Serious Games for Medical Diagnosis: ADHD and VSMD Detection.
  • IoT Measurements: Machinery Fault Detection, Operation Status Tracking, IoT Data Acquisition and Transport.
Designations, Awards, and Honours
  • IEEE Instrumentation and Measurement Society Technical Award, "for contributions to the advancement of machine learning-assisted measurements", 2023
  • Best Paper Award, “Memory-Efficient High-Accuracy Food Intake Activity Recognition with 3D mmWave Radars”, ACM Multimedia Workshop on Multimedia Assisted Dietary Management 2023
  • Career and 2022 Top-2%-cited Scientist, Artificial Intelligence and Image Processing, standardized citation indicators
  • IEEE Instrumentation and Measurement Society Distinguished Service Award, 2021
  • George S. Glinski Award for Excellence in Research, recognizing Faculty of Engineering’s Researcher of the Year, University of Ottawa, 2019
  • IEEE Fellow, "for contributions to multimedia systems and network measurements", 2017
Activities
Institutional:
Editorial Board:
Conference Organizing:
Technical Societies:
  • Executive Vice President, IEEE IMS
  • Chair, Society Management Committee, IEEE IMS
  • Member, Fellow Coordination Committee, IEEE IMS
  • Member, ACM SIGMM
Publications
See publications list on my Google Scholar profile (updated frequently by Google).
Teaching
  • ELG 5121/CSI 7163: Multimedia Communications (Fall '19, Winter '23)
  • ELG 5100: Software Engineering Project Management (Winter '06, '07, '08, '18, Fall '09, '10, '11, '13, '14, '15, '18, '19, '20, '21, '22)
  • ELG 4913: Electrical Engineering Design Project II (Winter '21, '22)
  • ELG 4912: Electrical Engineering Design Project I (Fall '09, '10, '11, '20, '21)
  • GNG 1106: Fundamentals of Engineering Computation (Fall '02, '11, '14, '18, '19, '20)
  • SEG 4105: Software Project Management (Fall '04, '05, '06, '07, '09, '10, '11, '13, '14, '15, '18, '19)
  • EMP 5117: Foundations of Software Engineering (Winter '18)
  • ELG 5374: Computer Communication Networks (Fall '15)
  • ITI 1120: Introduction to Computing I (Fall '13)
  • CEG 4395: Computer Network Management (Winter '06, '07, '08)
  • CEG 4185: Computer Network Design (Winter '08)
  • CEG 4183: Higher Layer Network Protocols (Winter '04, '05; Fall '05, '06, '07)
Postdoc, PhD, and Master's researchers trained
Talks
  • Quantifying Uncertainty in Machine Learning-Assisted Sensing, IEEE Sensors Applications Symposium, Ottawa, Canada, July 18, 2023.
  • Towards Automating Network Operation Centers with AI, IEEE International Conference on Computing, Networking and Communications, Honolulu, Hawaii, USA, February 22 2023.
  • Quantifying and Communicating Uncertainty in Machine Learning-Assisted Measurement, Keynote, IEEE International Conference on Sensing, Measurement & Data Analytics, December 22 2022 .
  • AI-Assisted Light Field Depth Estimation and Compression, Invited talk, 2nd JPEG Pleno Workshop on Learning-Based Light Field Coding Proceedings, ISO/IEC JTC1/SC29/WG1, wg1n100308, September 21 2022.
  • Quantifying Uncertainty in Machine Learning Based Measurement, Keynote, IEEE International Conference on Imaging Systems and Techniques 2021, New York, USA, August 24 2021.
  • Measuring without Measurement: Applied AI Meets Applied Measurement, Invited Talk, Taiwan Instrument Research Institute, National Applied Research Laboratories, Hsinchu, Taiwan, March 9 2020.
  • Applied AI in EEG-Assisted Detection of ADHD: The FOCUS Game, Keynote, IEEE GlobalSIP, Ottawa, Canada, November 14 2019.
  • AI Assisted Video Networking, Keynote, IEEE GCC Conference and Exhibition, Kuwait City, Kuwait, April 21 2019.
Research Funding Sponsors and Partners
Private Sector
Ciena Swarmio Cisco Magor CAE Cognivue  Espial Nokia Nuraleve Huawei Pleora Solink Biopeak IBM  D-Box  Konica Minolta point grey Dell xsens 

Public Sector

       CRC

Prof. Shervin Shirmohammadi
School of EECS, 800 King Edward Ave., room 5-011
Ottawa, Ontario, Canada, K1N 6N5
© 2008-2023 Shervin Shirmohammadi email: please read this
Tel. +1 613 562-5800 extension 6206
Fax +1 613 562-5664