Profile Wael Ouarda

User picture

Wael Ouarda

  • curriculum vitae
    • 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
    Deep bidirectional long short-term memory for online multilingual writer identification based on an extended Beta-elliptic model and fuzzy elementary perceptual codes
    T Dhieb, H Boubaker, W Ouarda, S Njah, M Ben Ayed, AM Alimi
    Multimedia Tools and Applications 80 (9), 14075-14100, 2021

    		 17 2021
    A new digital steganography system based on hiding online signature within document image data in YUV color space
    A Zenati, W Ouarda, AM Alimi
    Multimedia Tools and Applications 80 (12), 18653-18676, 2021

    		 16 2021
    Lahar-CNN: human activity recognition from one image using convolutional neural network learning approach
    H Basly, W Ouarda, FE Sayadi, B Ouni, AM Alimi
    International Journal of Biometrics 13 (4), 385-408, 2021

    		 6 2021
    Deep learning CNN–LSTM framework for Arabic sentiment analysis using textual information shared in social networks
    AH Ombabi, W Ouarda, AM Alimi
    Social Network Analysis and Mining 10 (1), 53, 2020

    		 239 2020
    CNN-SVM learning approach based human activity recognition
    H Basly, W Ouarda, FE Sayadi, B Ouni, AM Alimi
    International Conference on Image and Signal Processing, 271-281, 2020

    		 90 2020