Personal profile

Abdellah Chehri

Professor , Department of Mathematics and Computer Science at the Royal Military College of Canada (RMC).

Biography

Dr. Abdellah Chehri is an Associate Professor at the Department of Mathematics and Computer Science at the Royal Military College of Canada (RMC), Kingston, Ontario. Before joining the RMC, he served as an Associate Professor in Electrical and Computer Engineering at the University of Quebec (UQAC) from 2018-2022. In addition, he has an affiliate professor at the University of Quebec in Outaouais and an adjunct professor at the University of Ottawa. From 2009-2012, he worked as a research fellow and member of Wireless Heterogeneous Sensor Networks in the e-Society Project (WiSense) Research Group at the University of Ottawa under 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 250+ 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 served as guest/associate editor for several well-reputed journals (+40 special issues).
Additionally, he 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

  • Listed among the World’s Top 2% Scientists by Stanford University (2020, 2021, 2022).
  • 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):

  • 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