Personal profile

Abdellah Chehri

Professor , Department of Mathematics and Computer Science, Associate Vice Principal Research,

Royal Military College of Canada (RMC).

Biography

Dr. Abdellah Chehri is a Professor in the Department of Mathematics and Computer Science and the Associate Vice Principal of Research at the Royal Military College of Canada (RMC) in Kingston, Ontario. Prior to joining RMC, he was an Associate Professor of Electrical and Computer Engineering at the University of Quebec (UQAC) from 2018 to 2022. He also holds positions as an affiliate professor at the University of Quebec in Outaouais and UQAC, as well as an adjunct professor at the University of Ottawa. From 2009 to 2012, he worked as a research fellow and was a member of the Wireless Heterogeneous Sensor Networks in the e-Society Project (WiSense) Research Group at the University of Ottawa, under the supervision of Professor Hussein .T. Mouftah.

Dr. Chehri completed his Ph.D. in Electrical Engineering, with applied research in Information Communication and Telecommunications, at the University Laval (Quebec City), under the supervision of Prof. Paul Fortier and Prof. Pierre-Martin Tardif. He received his Master's degrees in Digital Communications and Signal Processing from the University Nice-Sophia Antipolis-Eurecom (France).

He was a Technology Advisor for MRS (Mine Radio Systems, now Pyott-Boone Electronics) company between 2010-2011, working on RFID and IoT-based solutions for the mining industry. From 2012 to 2014, He worked as a Senior System Engineer at BLiNQ Networks, Ottawa, in the modeling, analyzing, and optimizing Sub-6 GHz Mobile Backhaul Networks (WiMAX, LTE). From 2014 to 2018, He worked as a Manager of Next-Generation Network (NGN) /VoIP & Emerging Technologies at ItechCenter Labs, Bell Canada.

Dr. Chehri received many prestigious awards, including the Dean's Scholarship Award, Postdoctoral Studies (University Ottawa), Scholarship Fund to Support Success (Laval University), Japan Society for the Promotion of Science, MITACS, and NSERC Postdoctoral Fellowship. Dr. Chehri is a co-author of 300+ peer-reviewed publications in established journals and conference proceedings sponsored by established publishers such as IEEE, ACM, Elsevier, and Springer. He has been listed among the top 2% cited scientists reported by Stanford University since 2020.

Dr. Chehri has served on roughly forty conference and workshop program committees and as the program chair for HCIS 2021, 2022 and 2023. In addition,  he has served as a panelist, technical committee member, keynote speaker, and invited speaker at various IEEE and international conferences, including IEEE Globecom and IEEE VTC. He has chaired tracks, symposiums, and workshops at over 40 IEEE conferences and KES invited sessions, such as the IEEE World Forum on Internet of Things, IEEE Future Networks World Forum, IEEE World Forum on Public Safety Technology, IEEE Global Communications Conference, IEEE/ACM Utility and Cloud Computing Conference (UCC), and IEEE International Conference on Computing, Networking, and Communications.

 

He is the Tutorial Co-Chair for the IEEE World Forum on Public Safety Technology (WF-PST 2024) and the Annual IEEE Canadian Conference on Electrical and Computer Engineering (CCECE 2024). Additionally, he holds editorial roles as an Associate Editor for the IEEE Journal of Biomedical and Health Informatics, IEEE Transactions on Consumer Electronics, Sustainable Cities and Society, Real-Time Image Processing, Journal of System Architecture, and MDPI Remote Sensing. He has also been a Guest Editor for the IEEE Transactions on Computational Social Systems, IEEE Internet of Things Magazine, and IET Networks.

Dr Chehri is a Senior Member of IEEE, a member of the IEEE Communication Society (ComSoc), IEEE Vehicular Technology Society (VTS), IEEE Photonics Society, and IEEE Canadian Humanitarian Initiatives Committee (HIC). Dr. Chehri is a Professional Engineer (P. Eng) registered in the province of Quebec (OIQ).

Honors and Awards

  • Best Paper Award (Second Place) at the IEEE World Forum on Public Safety Technology (2024).
  • Listed among the World's Top 2% Scientists by Stanford University.
  • Nominated by the Faculty of Engineering, University of Ottawa as the only candidates for the Part-Time Professor of the Year Award 2018 ( among 2500 members and lecturers), University of Ottawa.
  • Dean's Award for Teaching Excellence - Faculty of Engineering, University of Ottawa, 2018, for the course: "Signals and random process."
  • Bell Canada Merit Platinum Award (2018).
  • Bell Canada Merit Gold award (2018, 2015).
  • Dean's Award for Teaching Excellence - Faculty of Engineering, University of Ottawa, 2013, for the course: "Applied Electromagnetic."
  • Postdoctoral Fellowship, Wisense Project- Selected by the University of Ottawa as one of its candidates to the very prestigious Postdoctoral Fellowship competition.
  • Prestigious NSERC Postdoctoral Fellowship, 250 awardees , total applications: 1169 (nationwide).  Scholarship and Fellowships Selection Committee for Electrical Engineering.
  • Postdoctoral Fellowship Japan Society for the Promotion of Science JSPS (declined). Selected by the JSPS as one of its candidates to the very prestigious Postdoctoral Fellowship competition (declined).
  • Doctoral Research Fund to Support Success ( Laval University).
  • Selected by Laval University as one of it candidate for Merit Scholarship programs for International students (exemption scholarship program is designed to attract the best students), Laval University.
  • LRCS  Doctoral Research Scholarship.

Accomplishments

  • Machine Learning (Stanford University).
  • Neural Networks for Machine Learning (University of Toronto).
  • Machine Learning - A case study approach (University of Washington).
  • Robot Mapping (Universität Freiburg).

Research Interests

  • IoT (Internet of things) for Real-time Response and Control of Autonomous Intelligent Systems.
  • Intelligent Biometric Monitoring Systems using IoT and AI.
  • Backhaul, 5G and Beyond 5G (B5G) Cellular Network.
  • Big Data, Data Analytics/AI/ML.
  • ML/Federated Learning in Wireless Systems.
  • RF Sensors, Signal Processing, and Compressive Sensing (CS) for Communication and Localization.
  • Unmanned Aerial Vehicle Communications.
  • Cloud/Fog/Edge Computing and Networking.
  • Smart Cities and Public Safety Technology.
  • Facial Pattern Recognition, Object Detection and Classification in Remote Sensing Images Using AI.

Target collaborative companies

I would like to collaborate with national and international companies with in following domain (but not limited):

  • Current Trends and Emerging Technologies in Public Safety and Security
  • 5G and Beyond Networks.
  • AI/ML-Driven Communications in Future Networks.
  • IoT, Industrial IoT, Industry 4.0.
  • Intelligent Biometric Monitoring Systems using IoT and AI.
  • IoT (Internet of Things) for Real-time Response and Control of Autonomous Intelligent Systems.
  • Optical Communications.
  • Autonomous Vehicles and Smart Cities.
  • RF Sensors, Signal Processing, and Compressive Sensing (CS) for Communication and Localization.
  • Facial Pattern Recognition, Object Detection, and Classification in Remote Sensing Images using AI.

The following word cloud was created from the titles of all my publications (click to zoom)

List of my educational institutions.

The official website