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

Associate 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 an Associate Professor at the Electrical Engineering and Computer Science Department in Khalifa University.  He is also the co-leader of the Artificial Intelligence and Data Analytics Theme in the Cyber-Physical Security System Center (C2PS). He has been a Visiting Professor at the University of Louisville, University of Florence, University of Lille, the Korean Advanced and Institute of Sciences and Technology.

His main research area is 2D/3D image analysis and understanding, where he has been leading several funded projects related to biometrics, medical imaging, remote sensing, surveillance, and intelligent systems. Dr. Werghi is an Associate Editor of the Eurasip Journal for Image and Video Processing. He is also a member of the IEEE Signal Processing Society and IEEE Pattern Analysis and Machine Intelligence. He has received four Best Paper awards, secured more than 19 research grants from local and international funding institutions, and published more than 130 journal and conference papers.

Education
  • Habilitation, Computer Vision, University of Strasbourg (France)
  • Ph.D., Robotic Vision, University of Strasbourg (France), 1996
  • M.Sc., 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