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 |
---|---|---|
Travel user interest discovery from visual shared data in social networksFM Yassin, O Lazzez, W Ouarda, AM Alimi2017 Sudan Conference on Computer Science and Information Technology (SCCSIT …, 2017 |
8 | 2017 |
Neural approach for context scene image classification based on geometric, texture and color informationA Sassi, W Ouarda, C Ben Amar, S MiguetInternational Workshop on Representations, Analysis and Recognition of Shape …, 2017 |
7 | 2017 |
Human identity recognition based on facial images: Via supervised autoencoder features representationSM Eragi, W Ouarda, AM Alimi2017 Sudan Conference on Computer Science and Information Technology (SCCSIT …, 2017 |
7 | 2017 |
Towards human behavior recognition based on spatio temporal features and support vector machinesS Ghabri, W Ouarda, AM AlimiNinth International Conference on Machine Vision (ICMV 2016) 10341, 67-72, 2017 |
6 | 2017 |
An Adaptation Module with Dynamic Radial Basis Function Neural Network Using Significance Concept for Writer Adaptation.L Haddad, TM Hamdani, W Ouarda, AM Alimi, A AbrahamJournal of Information Assurance & Security 12 (1), 2017 |
4 | 2017 |