Emna Rejaibi - MEDTECH - Private University

Qualifications: Software Engineer

Biography

Software Engineer graduated from the National Institute of Applied Sciences and Technology in 2019. She is currently a Teaching Assistant at MedTech teaching a ranges of courses and the former coordinator of the Teaching & Learning Center – SMU.

Research Interest

Ed Technologies Inventive Pedagogies

Publications

Rejaibi, E., Komaty, A., Meriaudeau, F., Agrebi, S., & Othmani, A. (2022). MFCC-based recurrent neural network for automatic clinical depression recognition and assessment from speech. Biomedical Signal Processing and Control, 71, 103107.‏
Othmani, A., Kadoch, D., Bentounes, K., Rejaibi, E., Alfred, R., & Hadid, A. (2021). Towards robust deep neural networks for affect and depression recognition from speech. In Pattern Recognition. ICPR International Workshops and Challenges: Virtual Event, January 10–15, 2021, Proceedings, Part II (pp. 5-19). Springer International Publishing.‏

Courses

Object-Oriented Programming
Database Management Systems
Operating Systems
Software Quality and Testing
Data Structures
ISS