Profile Wael Ouarda
First Name
Wael
Last Name
Ouarda
Address
Menzel Chaker Road km 0.5, Sfax
Zip code
3038
Biography
Wael Ouarda is an assistant professor of computer science at the Digital Center of Research of Sfax. He received his Ph.D. degree in computer science from the National School of Engineering of Sfax in 2017. He is an active member of the Institute of Electrical and Electronics Engineers (IEEE) since 2012.
Wael Ouarda is interested in intelligent systems that operate in large and known domains like Natural Language Processing (NLP), Computer Vision, and Business Intelligence. Most of his research centers around techniques for decision-making. He believes that finding good solutions to these problems requires approaches that cut across many different fields and, consequently, his research draws on areas such as artificial intelligence, decision theory, and operations research. Applications of his research focus on Smart City: Smart Life & Smart Health & Industry 4.0 & Smart Security & Smart Transportation.
Research Interests
Neural Network, Seq2Seq, Natural Language Processing (NLP), Time Series, Computer Vision
Scientific publications
Title | Cited by | Year |
---|---|---|
Face recognition based on geometric features using Support Vector MachinesW Ouarda, H Trichili, AM Alimi, B Solaiman2014 6th International Conference of Soft Computing and Pattern Recognition …, 2014 |
56 | 2014 |
MLP Neural Network for face recognition based on Gabor Features and Dimensionality Reduction techniquesW Ouarda, H Trichili, AM Alimi, B Solaiman2014 international conference on multimedia computing and systems (ICMCS …, 2014 |
37 | 2014 |
Combined local features selection for face recognition based on Naïve Bayesian classificationW Ouarda, H Trichili, AM Alimi, B Solaiman13th International Conference on Hybrid Intelligent Systems (HIS 2013), 240-245, 2013 |
34 | 2013 |
A Comprehensive Fall Detection Architecture and Evaluation Framework Across Intra/Inter Subject and Cross-DatasetG Khouloud, Y Chasseray, I Megdiche, E Lamine, W OuardaWael, A Comprehensive Fall Detection Architecture and Evaluation Framework …, 0 |
0 | 0 |
Deep-BEJT: A New Human Activity Recognition System based on Beta Elliptical Joint Trajectory (BEJT) and Long Short Term Memory (LSTM)S Ghabri, W Ouarda, H Boubaker, AM Alimi |
0 | 0 |