Dr. Lahouari Ghouti
Dr. Lahouari Ghouti is an Associate Professor of the Information and
Computer Science Department at King Fahd University of Petroleum and
Minerals (KFUPM). He received his BSc (First Honors) from the
Algerian Institute of Telecommunications (AIT), Oran, Algeria in
1992, his MSc in Electrical Engineering Department at KFUPM
University in 1997 and his Ph.D. in Computer Science from Queen’s
University of Belfast (QUB), Belfast, UK in 2005.
He has several publications in the areas of Multimedia Security,
Biometrics, Forensics and Homeland Security that appeared in
International refereed Journals and Proceedings. He holds 24 US patents. Dr. Ghouti has been acting as a
Chair of several technical sessions on Multimedia Security,
Biometrics, Forensics and Machine Learning. Also, Dr. Ghouti
continues to provide consulting services to several Saudi private
academic institutions on the development of computing-related
academic programs. Also, he contributed to the development of two new
Graduate Programs in Forensics, Computer Security and Assurance at
QUB and KFUPM universities. Dr. Ghouti is an active member of the
IEEE and IEE Institutes. The research interests of Dr. Ghouti
include watermarking technologies, information hiding, content
identification, multimedia security, biometrics, and signal/image
processing applications for forensic and homeland security.
Dr. Ghouti's interest into the field of information security,
biometrics and forensics began with his dissertation on the
copyright protection of multimedia content.
Dr. Ghouti has been the PI/Co-PI of projects funded by Government,
industry and academia in the last 10 years.
Dr. Ghouti has given several invited talks in Saudi Arabia, Europe
(UK and France), and Canada. He has co-supervised 4 PhD
students and 15 MSc students at QUB and KFUPM universities. He serves as a
reviewer of several IEEE and IEE journals in his area and
has chaired two technical sessions in the IEE Visual Information
Engineering (VIE) Conference.
Dr. Ghouti has won the Best paper award at the First IEEE/AHS
Conference on Adaptive Hardware and System (AHS 2006) in Istanbul,
Turkey and the Bronze Medal for the Best Applied Research at King
Abdulaziz City for Science and Technology (KACST) in October 2005.
Dr. Ghouti uses a lot of artificial intelligence and machine
learning tools for teaching and research purposes:
1- GMDH Shell Forecasting Software
2- Python
and Scikit
3- Turi
Graphlab Create
Dr. Ghouti has given several invited talks in Saudi Arabia, Europe
(UK and France), and Canada. He has co-supervised 4 PhD
students and 15 MSc students at QUB and KFUPM universities. He serves as a
reviewer of several IEEE and IEE journals in his area and
has chaired two technical sessions in the IEE Visual Information
Engineering (VIE) Conference.
Dr. Ghouti has won the Best paper award at the First IEEE/AHS
Conference on Adaptive Hardware and System (AHS 2006) in Istanbul,
Turkey and the Bronze Medal for the Best Applied Research at King
Abdulaziz City for Science and Technology (KACST) in October 2005.