Dr. Naoufel Werghi
Dr. Naoufel Werghi Professor
Bio
Education
Teaching Areas
Research Interests
Bio

Professor, Department of Electrical Engineering and Computer Science

Dr. Naoufel Werghi received his Habilitation and Ph.D. in Computer Vision from the University of Strasbourg. He has been a Research Fellow in the Division of Informatics at the University of Edinburgh, and Lecturer in the Department of Computer Sciences at the University of Glasgow. Currently, he is Full Professor at the Electrical Engineering and Computer Science Department in Khalifa University. He has been a Visiting Professor at the University of Louisville, University of Florence, University of Lille, the Children National Health System in Washington, the Korean Advanced and Institute of Sciences and Technology, and the University of Canberra.

He is the co-leader of the Artificial Intelligence and Data Analytics Theme in the Cyber-Physical Security System Center (C2PS), and project leader in Khalifa University Center for Autonomous Robotic System (KUCARS).

His research interests span computer vision and machine learning where he has been leading several funded projects related to biometrics, medical imaging, remote sensing, surveillance, and intelligent systems. So far, he secured 23 research grants and published more than 180 journal and conference papers.

He has been member of the organization committee in many conferences including  the Midwest symposium on circuits and systems (2013) and the International Conference on Image Processing (2020).  He served as the  vice-Chair of the IEEE communications and signal processing UAE chapter in 2017, He is also Associate Editor of the Eurasip  Journal for Image and Video Processing.

Education
  • Habilitation, Computer Vision, University of Strasbourg (France)
  • PhD, Robotic Vision, University of Strasbourg (France), 1996
  • MSc, Instrumentation and Control, University of Rouen (France), 1993
  • Eng. Diploma, Electrical Engineering, Ecole Nationale Ingenieurs Monastir (Tunisia), 1992
Teaching Areas
  • Artificial Intelligence
  • Deep Machine Learning
  • C++/Matlab Programming
Research Interests
  • Machine learning
  • Computer vision and 2D/3D image analysis with application to biometrics
  • Surveillance
  • Medical imaging and remote sensing