Takwa Ben Aïcha Gader
PHD/ Data Scientist
35 ans
Mahdia Tunisie
Situation professionnelle
En poste
En recherche active
Présentation
Enseignante universitaire
Data Scientist:
Atouts généraux :
- Compétences pédagogiques solides.
- Expertise approfondie dans les domaines enseignés.
- Capacité de recherche et publications académiques.
- Encadrement et soutien des étudiants.
- Esprit critique et promotion de la réflexion.
- Communication claire et efficace.
- Engagement envers l'excellence académique.
- Collaboration interdisciplinaire.
Data Scientist:
- Compétences en développement informatique et intelligence artificielle.
- Expertise en modèles de Deep Learning (Analyse des documents et imageries médicales).
- Proposer des algorithmes pour le traitement d'image.
Atouts généraux :
- Approche proactive et polyvalente.
- Capacité à relever des défis et atteindre des objectifs.
- Engagement pour l'apprentissage continu.
Compétences
Publications
- Gader, Takwa Ben Aïcha, and Afef Kacem Echi. "Unconstrained handwritten Arabic text-lines segmentation based on AR2U-net." 2020 17th International Conference on Frontiers in Handwriting Recognition (ICFHR). IEEE, 2020. https://ieeexplore.ieee.org/document/9257759
- Gader, Takwa Ben Aïcha, and Afef Kacem Echi. "Attention-based deep learning model for Arabic handwritten text recognition." Machine Graphics and Vision 31.1/4 (2022): 49-73. https://mgv.sggw.edu.pl/article/view/2242
- Gader, Takwa Ben Aïcha, and Afef Kacem Echi. "Deep Learning-Based Segmentation of Connected Components in Arabic Handwritten Documents." Intelligent Systems and Pattern Recognition: Second International Conference, ISPR 2022, Hammamet, Tunisia, March 24–26, 2022, Revised Selected Papers. Cham: Springer International Publishing, 2022. https://link.springer.com/chapter/10.1007/978-3-031-08277-1_8
- Gader, Takwa Ben Aïcha Echi, Afef Kacem. "Attention-based CNN-ConvLSTM for Handwritten Arabic Word Extraction." ELCVIA Electronic Letters on Computer Vision and Image Analysis 21.1 (2022): 121-129. https://elcvia.cvc.uab.cat/article/view/1433
- Bouslimi, Yahia, Takwa Ben Aıcha Gader, and Afef Kacem Echi. "Prostate Cancer Detection, Segmentation, and Classification using Deep Neural Networks." ICPRAM (2023). https://www.scitepress.org/Link.aspx?doi=10.5220/0011795100003411
- Gader, Takwa Ben Aıcha, Issam Chibani, and Afef Kacem Echi. "Arabic Handwriting off-Line Recognition Using ConvLSTM-CTC." ICPRAM (2023). https://www.scitepress.org/Link.aspx?doi=10.5220/0011794700003411
- Barbouchi, Khalil, et al. "A transformer‐based deep neural network for detection and classification of lung cancer via PET/CT images." International Journal of Imaging Systems and Technology (2023). https://onlinelibrary.wiley.com/doi/10.1002/ima.22858
- BOUSLIMI, Yahya, ECHI, Afef Kacem, et al. Deep Learning Based Localisation and Segmentation of Prostate Cancer from mp-MRI Images. ELCVIA Electronic Letters on Computer Vision and Image Analysis, 2023, vol. 22, no 1, p. 52-70, https://doi.org/10.5565/rev/elcvia.1620 .
- Gader, Takwa Ben Aïcha Echi, Afef Kacem. ISPR 23 "Deep Layout Analysis of Multilingual and Composite Documents" https://doi.org/10.1007/978-3-031-46335-8_7
- Rebhi, Wiem, Gader, Takwa Ben Aïcha and Echi, Afef Kacem. "Unified Approach for Hierarchical Text Detection and Recognition and Voice Conversion", ICTA 2023. Présenté et en cours de publication.
- Gader, Takwa Ben Aïcha and Echi, Afef Kacem, "Swin Transformer for Script Writer Identification", CTA: The 9th International Conference on ICT & Accessibility 2023. Présenté et en cours de publication.
- Takwa Ben Aïcha, Heni Lachouak, Safoine Touil, A. Kacem Echi and Samah Mbarek. "Hybrid CNN-Swin Transformer for Glaucoma Screening in Fundus Images ". AICCSA 2024 : The ACS/IEEE 21st International Conference on Computer Systems and Applications.
- Meher Boulaabi, Takwa Ben Aïcha, A. Kacem Echi and Samah Mbarek. " Advanced Segmentation of Diabetic Retinopathy Lesions Using DeepLabv3+". AICCSA 2024 : The ACS/IEEE 21st International Conference on Computer Systems and Applications.
- K. Khazri, T. Ben Aïcha and A. Kacem Echi, Deep Learning based-framework for Math Formulas Understanding, ELCVIA: Electronic Letters on Computer Vision and Image Analysis, 2024, https://doi.org/10.5565/rev/elcvia.1833
Peer review
- journal, Arabian Journal for Science and Engineering, ISSN: 1319-8025, 2022.
- journal, Arabian Journal for Science and Engineering, ISSN: 2191-4281, 2022
- journal, Springer Nature, ISSN: 2661-8907, 2023
Scientifiques et Informatique
- Machine Learning & Data Science: Python, Tensorflow,Tensorflow Lite, Keras, Scikit-Learn, OpenCV, NLP
- Connaissances de script et de programmation: Python, R, JAVA, Matlab, C, C#
- Excellente compréhension des techniques et algorithmes de computer vision: Filtrage, Segmentation, Classification, Clustering, Reconnaissance de formes, Extraction de descripteurs ,Détection / Suivi d’objets
- Excellentes compétences pédagogiques et collectives : suivi et encadrement de projets de fin d'études Master et Ingénierie.
