Statistical process monitoring in engineering or environmental plants is a vital task not only to maintain high-quality products and to enhance operational process efficiency and profitability but also for people's safety
Fouzi Harrou

Location

Honors & Awards

  • Junior  Scientists  Research  Experience  Program  (JSREP)  Grant  from  Qatar  National  Research Fund for the project titled “Multivariate Statistical Process Monitoring and Applications”, 2014
  • ​Highest Honors PhD, UTT, France, 2010

Publication Highlights

Harrou, F., Taghezouit, B., Sun, Y. (2019). Improved kNN-Based Monitoring Schemes for Detecting Faults in PV Systems. IEEE Journal of Photovoltaics.

Krupskii, P., Harrou, F., Hering, A. S., Sun, Y. (2019). Copula-based monitoring schemes for non-Gaussian multivariate processes. Journal of Quality Technology, 1-16.

Harrou, F., Dairi, A., Taghezouit, B., & Sun, Y. (2019). An unsupervised monitoring procedure for detecting anomalies in photovoltaic systems using a one-class Support Vector Machine. Solar Energy, 179, 48-58.

Cheng, T., Harrou, F., Sun, Y., Leiknes, T. (2018). Monitoring influent measurements at water resource recovery facility using data-driven soft sensor approach. IEEE Sensors Journal, 19(1), 342-352.

Harrou, F., Dairi, A., Sun, Y.,  Kadri, F. (2018). Detecting Abnormal Ozone Measurements with a Deep Learning-Based Strategy. IEEE Sensors Journal, 18(17), 7222-7232.

Zerrouki, N., Harrou, F., Sun, Y. (2018). Statistical monitoring of changes to land cover. IEEE Geoscience and Remote Sensing Letters, 15(6), 927-931.

Kadri, F., Harrou, F., Chaabane, S., Sun, Y., Tahon, C. (2016). Seasonal ARMA-based SPC charts for anomaly detection: Application to emergency department systems. Neurocomputing, 173, 2102-2114.

Harrou, F., Fillatre, L., Nikiforov, I. (2014). Anomaly detection/detectability for a linear model with a bounded nuisance parameter. Annual Reviews in Control, 38(1), 32-44.

Conference Chairmanship

  • Chair, “Autonomous Systems”, IEEE ICSC 2017, 6th International Conference on Systems and Control, Batna, Algeria, 2017.
  • 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.
  • Chair, the 17th International Conference on Control and Automation, Dubai, UAE, 2015.
  • Chair, “Fault Detection”, IEEE ASCC, the 9th Asian Control Conference, Istanbul, Turkey, 2013.
  • Co-chair, “Fault Detection and Diagnosis”, IEEE SSCI, Symposium Series on Computational Intelligence: IEEE Symposium on Computational Intelligence in Control and Automation, Singapore, 2013.

Fouzi Harrou received the Dipl.Ing. degree in telecommunications from Tlemcen University,  Algeria, the  M.Sc. degree in telecommunications and networking from the University of Paris  VI,  France, and the 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 was a Research Scientist with the Chemical Engineering Department, Texas A&M University at Qatar, Doha, Qatar, for three years. He is currently a Research Scientist with the Division of Computer, Electrical, and Mathematical Sciences and Engineering, King Abdullah University of Science and Technology. Dr. Harrou’s research interests include statistical decision theory and its applications, multivariate statistical process monitoring, anomaly detection and diagnosis, and signal processing.

Education Profile

  • Qualification for Candidacy Associate Professor, CNU (University National Council), Ministry of Higher Education, Research & Technology, Section 61, France
  • Ph.D. degree in Systems Optimization and Dependability, University of Technology of Troyes (UTT), France, 2010
  • M.Sc. degree in Telecommunication and Networks, Paris Sud University & Supelec, France, 2006
  • Engineering degree in Telecommunications (Minor in Computer Science), University Abou bekr Belkaid-Tlemcen, Algeria, 2004

Professional Profile

  • Jan 2019-Present: Research scientist,  KAUST
  • Mar.2015 -Dec.2018: Postdoctoral Fellows, KAUST     
  • 2012 –2014:   Research scientist, Texas A&M University at Qatar  
  • Apr.2011– Jan.2012: Postdoctoral Fellows at Charles Delaunay Institute, Systems Modeling and Dependability Laboratory, UTT, France
  • Sep.2010–Mar.2011: Assistant Professor, Institute of Automotive and Transport Engineering (ISAT), University of Bourgogne, France     
  • Sep.2010–Mar.2011: Assistant Professor,  University of Technology of Troyes, France
  • Sep.2008-Aug.2009: Teaching Associate, University of Technology of Troyes, France

Research Interest

Harrou’s research interests include statistical decision theory and its applications, multivariate statistical process monitoring, anomaly detection and diagnosis.