Fouzi Harrou
- Senior Research Scientist, Statistics
Harrou’s research focuses on statistical decision theory and its applications, multivariate statistical process monitoring, anomaly detection and diagnosis.
Biography
Dr. Harrou received an M.S. degree in Telecommunications and Networking from the University of Paris VI and a Ph.D. degree in Systems Optimization and Security from the University of Technology of Troyes (UTT), France. He was an Assistant Professor at UTT for one year and was an Assistant Professor at the Institute of Automotive and Transport Engineering, Nevers, France, for one year. He was also a Post-Doctoral Research Associate at the Systems Modelling and Dependability Laboratory, UTT, for one year. He is currently a Senior Research Scientist with the Division of Computer, Electrical, and Mathematical Sciences and Engineering at King Abdullah University of Science and Technology. He is a co-author of the book "Statistical Process Monitoring Using Advanced Data-Driven and Deep Learning Approaches: Theory and Practical Applications" (Elsevier, 2020). And he is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE). Harrou is the author of more than 250 refereed journal articles, conference publications, and book chapters.
Research Interests
Dr. Harrou’s research interests are in the area of statistical anomaly detection and process monitoring with a particular emphasis on data-driven methods. The algorithms developed in Dr. Harrou’s research are utilized in many applications to improve the operation of various environmental, chemical, and electrical systems.
Professional Profile
Service Contributions
- Service to the Discipline or Profession
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Chair, “Autonomous Systems”, IEEE ICSC 2017, 6th International Conference on Systems and Control, Batna, Algeria, 2017
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Co-chair, “System Identification and Learning with Applications”, IEEE SSCI, Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Control and Automation, Cape Town, South Africa, 2015
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Chair, the 17th International Conference on Control and Automation, Dubai, UAE, 2015
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Chair, “Fault Detection”, IEEE ASCC, the 9th Asian Control Conference, Istanbul, Turkey, 2013
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Co-chair, “Fault Detection and Diagnosis”, IEEE SSCI, Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Control and Automation, Singapore, 2013
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Awards and Distinctions
- Best Session Paper Award for the paper "Medical Image Authentication and Self-Recovery Using Fragile Watermarking in the Frequency Domain", Advanced Medical Image Segmentation with Deep Learning and Enhanced Pre-processing at the 6th IEEE International Conference on Image Processing Applications and Systems (IPAS 2025), 2025
- 2025 Rank: 53404; Rank in the SubField 1 (Artificial Intelligence & Image Processing): 2281 out of 458615 authors, Stanford University's list of "World's Top 2%", 2025
- Best Paper Awards for the paper "Efficient Deep Learning-driven Approach for PM2.5 Forecasting at Different Locations in Spain", IEEE Eurasia Conference on Biomedical Engineering, Healthcare, and Sustainability (IEEE ECBIOS 2021), 2021
- Best Paper Awards for the paper "Detecting Cyber-Attacks in Modern Power Systems Using an Unsupervised Monitoring Technique", IEEE Eurasia Conference on Biomedical Engineering, Healthcare, and Sustainability (IEEE ECBIOS 2021), 2021
- Junior Scientists Research Experience Program (JSREP) Grant, Qatar National Research Fund for the project titled “Multivariate Statistical Process Monitoring and Applications”, 2014
- Highest Honors Ph.D., University of Technology of Troyes (UTT), France, 2010
Professional Memberships
- IEEE, Senior Member, 2021
Qualifications
Education
- Doctor of Philosophy (Ph.D.)
- Systems Optimization and Security, University of Technology of Troyes (UTT), France, 2010
- Master of Science (M.S.)
- Telecommunication and Networks, Paris-Saclay University, France, 2006
Licenses and Certifications
- Qualification for Candidacy Associate Professor, CNU (University National Council), Ministry of Higher Education, Research & Technology, Section 61, France, Sat, Jan 1 2022
Related Media
Quote
Practical problem-solving is the bridge between theoretical knowledge and real-world impact.
Related People
Principal Investigators
Marc G. Genton
- Al-Khawarzmi Distinguished Professor, Statistics
