Scholar
Mohamed Ali Souibgui
Google Scholar ID: LXq3YYMAAAAJ
Computer Vision Center, Universitat Autònoma de Barcelona
Citations & Impact
Citations
521
H-index
9
i10-index
9
Publications
20
Co-authors
24
list available
Publications
Resume (English only)
Academic Achievements
- Paper 'Text-DIAE: A Self-Supervised Degradation Invariant Autoencoders for Text Recognition and Document Enhancement' accepted at AAAI 2023; Participated in organizing the Privacy Preserving Federated Learning Document VQA (PFL-DocVQA) competition at NeurIPS 2023; Received an Excellent mark for his PhD degree from Autonomous University of Barcelona.
Research Experience
- Pre-doctoral researcher at CVC, Barcelona, 2019-2022, working on recognizing historical handwritten ciphers; Post-doctoral researcher at CVC, Barcelona, 2022-2023, developing privacy-preserving ML models for document intelligence; Lead AI researcher at Chordata Motion, 2023-2024, developing intelligent motion capture systems; Post-doctoral researcher at CVC, Barcelona, 2024-present, working on explainable, secure, and safe AI systems in the DocVQA field.
Education
- Bachelor's degree in Computer Science from University of Monastir, 2012-2015; Master's degree in Computer Science from University of Monastir, 2015-2018; PhD in Computer Science from Autonomous University of Barcelona, 2019-2022, under the supervision of Prof. Andreas Maier (Friedrich-Alexander Universität Erlangen-Nürnberg, Germany), Prof. Ernest Valveny (Universitat Autonoma de Barcelona, Spain), and Dr. Naila Murray (Meta Artificial Intelligence Research, UK).
Background
- Research interests include computer vision, machine learning, and document intelligence. Led the machine learning team at Chordata Motion, developing intelligent motion capture/estimation systems.
Miscellany
- Email: msouibgui@cvc.uab.cat; Google Scholar Profile; Github Profile; Linkedin Profile
