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) in Kingston, Ontario. He also holds affiliate appointments at the University of Quebec (UQO, UQAC) and an adjunct position at the University of Ottawa. He earned his Ph.D. in Electrical Engineering from Université Laval and his Master’s degree in Digital Communications and Signal Processing from the University Nice–Sophia Antipolis–Eurecom (France). From 2009 to 2012, he was a research fellow with the WiSense Research Group at the University of Ottawa.

Dr. Chehri is the Canada Research Chair (Tier 2) in Internet of Everything (IoE) and Artificial Intelligence (AI) for Public Safety. His research focuses on resilient communication infrastructures, intelligent transportation systems, mission‑critical IoT, non‑terrestrial networks, and drone‑based technologies for safety and mobility. His career spans both academia and industry, including roles as Technology Advisor at Mine Radio Systems, Senior System Engineer at BLiNQ Networks, and Manager of Next‑Generation Networks (NGN), VoIP, and Emerging Technologies at ItechCenter Labs, Bell Canada.

He has authored more than 400 peer‑reviewed publications in leading venues 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. He has held editorial roles as Guest Editor and Associate Editor for several high‑impact journals, including IEEE Transactions on Network and Service Management, IEEE Transactions on Systems, Man, and Cybernetics: Systems, IEEE Internet of Things Magazine, Expert Systems, the IEEE Journal of Biomedical and Health Informatics, and the IEEE Open Journal of the Communications Society (OJCOM). He has also contributed to more than 70 international conferences and workshops in leadership roles such as Program Chair, Panel Chair, Tutorial Chair, Track Chair, and Committee Member, and has delivered invited and keynote talks at major IEEE events worldwide.

Within IEEE, Dr. Chehri plays a leading role in the Public Safety Technology (PST) Initiative, serving as Co‑Chair of the Transportation Committee and contributing to the Standards and Publications Committees and the IEEE RoadMAP initiative. He is active in the IEEE Vehicular Technology Society (VTS) Committees on Drones and Space‑Air‑Ground‑Water Integrated Communication Systems. He is also a founding member of the AI‑Driven Integration of Terrestrial and Non‑Terrestrial Networks (AITNTN), advancing next‑generation architectures that unify satellite, aerial, and ground‑based communication systems. His professional memberships include IEEE ComSoc, IEEE VTS, IEEE Photonics Society, IEEE Canadian Humanitarian Initiatives Committee (HIC), and ACM. He is a licensed Professional Engineer (P.Eng) in 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 Focus

My research explores advanced communication systems, autonomous technologies, and resilient infrastructures that support public safety, national defense, and mission‑critical operations. I work at the intersection of AI‑enabled autonomy, secure communications, UAV technologies, cybersecurity, and next‑generation networks (5G/6G) — with a strong emphasis on real‑world applications for defense, emergency response, and critical infrastructure protection. This work also extends to intelligent transportation systems, facial pattern recognition, and object detection and classification in remote sensing images using AI, enabling enhanced situational awareness and decision support for defense and public safety missions.

Core Research Areas

  • AI‑Enabled Autonomous & Agentic Systems AI‑driven autonomy, trust calibration, and intelligent network behavior for next‑generation defense, public safety, and transportation systems.

  • IoT, Smart Sensors & Machine Learning Sensor fusion, predictive analytics, and situational awareness technologies supporting emergency response, intelligent mobility, and infrastructure resilience.

  • UAV & Drone Systems Deep learning for UAV autonomy, search‑and‑rescue operations, persistent surveillance, and mission support in GPS/RF‑denied environments.

  • Secure Communications (RF, Satellite, Quantum, 5G & 6G) Resilient RF systems, SATCOM architectures, quantum‑safe cryptography, and advanced 5G/6G communication protocols for tactical and strategic operations.

  • Cybersecurity, AI‑Driven Sensing & Image Intelligence AI‑based facial pattern recognition, object detection and classification in remote sensing imagery, and cyber‑resilient architectures for defense and public safety.

Defense‑Related Research

My defense‑focused work includes resilient PNT systems, GNSS vulnerability mitigation, secure tactical communications, AI‑enhanced autonomous systems, and cyber‑resilient architectures for critical defense platforms. This research supports DND/CAF modernization initiatives, advances secure 5G/6G defense communications, and aligns with RMC’s mission to develop innovative technologies that strengthen Canada’s defense, intelligence, and public safety capabilities.

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).

List of my educational institutions.

The official website