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 Machines
W Ouarda, H Trichili, AM Alimi, B Solaiman
2014 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 techniques
W Ouarda, H Trichili, AM Alimi, B Solaiman
2014 international conference on multimedia computing and systems (ICMCS …, 2014

37 2014
Combined local features selection for face recognition based on Naïve Bayesian classification
W Ouarda, H Trichili, AM Alimi, B Solaiman
13th 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-Dataset
G Khouloud, Y Chasseray, I Megdiche, E Lamine, W Ouarda
Wael, 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