Personal profile

Abdellah Chehri

Full Professor, Department of Mathematics and Computer Science, Royal Military College of Canada (RMC), and Tier 2 Canada Research Chair in Public Safety (AI and Internet of Everything)

Biography

Dr. Abdellah Chehri is a Full Professor in the Department of Mathematics and Computer Science at the Royal Military College of Canada (RMC), Kingston, Ontario. Before joining RMC, he served as an Associate Professor in Electrical and Computer Engineering at the University of Quebec at Chicoutimi (UQAC) from 2018 to 2022. He also holds appointments as an Affiliate Professor at the University of Quebec in Outaouais and as an Adjunct Professor at the University of Ottawa. From 2009 to 2012, he was a research fellow with 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 earned his Ph.D. in Electrical Engineering from Université Laval (Quebec City), specializing in Information Communication and Telecommunications, and a Master’s degree in Digital Communications and Signal Processing from the University Nice‑Sophia Antipolis‑Eurecom (France).

His career bridges academia and industry. He served as Technology Advisor for Mine Radio Systems (now Pyott‑Boone Electronics) between 2010 and 2011, developing RFID and IoT‑based solutions for the mining sector. From 2012 to 2014, he worked as a Senior System Engineer at BLiNQ Networks in Ottawa, focusing on modeling, analyzing, and optimizing Sub‑6 GHz Mobile Backhaul Networks (WiMAX, LTE). Between 2014 and 2018, he managed Next‑Generation Network (NGN), VoIP, and Emerging Technologies at ItechCenter Labs, Bell Canada.

Dr. Chehri has received numerous prestigious awards, including the Dean’s Scholarship Award for Postdoctoral Studies (University of Ottawa), the Scholarship Fund to Support Success (Université Laval), the Japan Society for the Promotion of Science Fellowship, MITACS, and the NSERC Postdoctoral Fellowship. He is the co‑author of more than 400 peer‑reviewed publications in leading journals and conferences sponsored by IEEE, ACM, Elsevier, and Springer. Since 2020, he has been consistently ranked among the world’s top 2% most cited scientists, as reported by Stanford University.

Beyond his research, Dr. Chehri has made significant contributions to the academic community. He has served in more than 70 leadership roles across international conferences and workshops—including IEEE ICC, IEEE Globecom, IEEE VTC, IEEE WF IoT, IEEE PIRMC, IEEE WCNC, IEEE ICNC, IEEE Future Networks World Forum, IEEE WF-PST, IEEE/ACM UCC, KES, SEB, and HCIS—taking on responsibilities as Program Chair, Panel Chair, Tutorial Chair, Track Chair, and Committee Member. In addition, he has held editorial positions as Guest Editor and Associate Editor for several highly regarded journals, overseeing more than 50 special issues. These roles include Associate Editor for IEEE Transactions on Network and Service Management (TNSM), IEEE Transactions on Systems, Man, and Cybernetics: Systems (TSMCS), IEEE Internet of Things Magazine, Expert Systems, the IEEE Journal of Biomedical and Health Informatics, and Current Analysis on Communication Engineering. He is also a founding member of the AI‑Driven Integration of Terrestrial and Non‑Terrestrial Networks (AITNTN), contributing to the development of next‑generation architectures that unify satellite, aerial, and ground‑based communication systems.

He is a Senior Member of IEEE and an active 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 also a licensed Professional Engineer (P.Eng) in the province of Ontario.

Honors and Awards

  • Listed among the World’s Top 2% Scientists by Stanford University (2020, 2021, 2022, 2023, 2024, 2025).
  • The Most Popular Paper in Blockchain 2025 (1st Place), IEEE Open Journal of the Communications Society: “Blockchain-Based Security Architecture for Uncrewed Aerial Systems In B5G/6G Services and Beyond: A Comprehensive Approach”.
  • Distinguished Lecturer, IEEE VTS.
  • Best Paper Award, 9th International Conference on Smart City Applications (SCA2024), Enhancing Cybersecurity Through AI and Blockchain: An Analysis Using the Cybersecurity Threat Dataset.
  • Best Paper Award, 2024 IEEE World Forum on Public Safety Technology (WF-PST), May 14-15, Washington, D.C. Paper Title “Deep learning-based road object detection and classification for collision avoidance in autonomous driving”.
  • Certificate of Appreciation and Recognition (Conference Chair) KES. “For exceptional contributions and leadership in the organization of the KES Human centered intelligent systems (HCIS)”.
  • Congratulatory Letter from the Dean for Excellent Teaching Evaluation for the course “ELG 5142 – Ubiquitous Sensing for Smart Cities”. Winter 2005. Faculty of Engineering, University of Ottawa.
  • Nominated by the Faculty of Engineering, University of Ottawa as the only candidates for the Part-Time Professor of the Year Award 2018, 2019, 2025 ( 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):

  • Industry 4.0 and IIoT.
  • Information communication and technology.
  • IoT manufacturers.
  • Smart city (healthcare, intelligent transportation system, energy, etc).

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

List of my educational institutions.

The official website