Sonda

Ammar

Route de Tunis, cité el Ons, Technopôle de Sfax -

3038

Sonda Ammar, Ph.D., is an Associate Professor in Computer Science at the Institut Supérieur d’Informatique et de Multimédia de Sfax (ISIMS), Tunisia, and a researcher in the SM@RTS Laboratory. Dr. Ammar earned her Ph.D. in Computer Science with high honors from the École Nationale d’Ingénieurs de Sfax in 2014, with a thesis focused on possibilistic analysis of ultrasonic signals to assist visually impaired individuals. She furthered her academic credentials with a Habilitation in Computer Science in 2023, exploring decision support in uncertain contexts. Her academic journey also includes a Master’s degree in Computer Science and Multimedia Information Processing Systems from the University of Rouen (2010) and a Bachelor’s degree in Computer Science and Multimedia from ISIMS (2009). Her research interests pattern recognition, machine learning, computer vision, and data quality assessment. Dr. Ammar has published in high-impact journals such as Expert Systems with Applications, IEEE Sensors Journal, Applied Soft Computing and Information Fusion, contributing over 20 peer-reviewed articles and conference papers. She is a regular participant in international conferences, including ICCCI, KES, and ATSIP, and has served on program committees and as a reviewer for prestigious journals like Pattern Recognition and Information Sciences. She has also co-authored a book and a book chapter. In 2018, she holds a national patent for the “Al Mourafek” device, a semantic analysis tool for automated locomotion, and in 2020, Dr. Ammar co-founded Smart Aid Technologies (SATech), a startup recognized under Tunisia’s Startup Act, aimed at developing innovative assistive technologies. Since 2018, Dr. Ammar has served as an Assistant Professor at Enet’Com and later as an Associate Professor at ISIMS, where she has supervised numerous doctoral and master’s students. Her international collaborations include partnerships with institutions such as IMT Atlantique-Brest (France), McMaster University (Canada), and Technische Universität Chemnitz (Germany). She has been actively involved in funded research projects, including the Multimodal Biometric Platform for Counter-Terrorism (2016–2019) and an ongoing intelligent platform for combating authentication fraud (2023–2025). Dr. Ammar’s contributions to academia, research, and innovation reflect her commitment to advancing technology for societal impact, particularly in assistive systems and biometric security.

Computer Vision, Machine learning, Deep Learning, Information/Data Quality, biometric security, Liveness Detection, ...