Office C404
Phone: +49 7071 29 70495
 

Research Interests

• Medical Data Science
• Machine Learning
• Privacy Preserving Machine Learning
• Deep Learning
• Multimodal learning
• AI in Precision Medicine
   

Academic Degrees

• M.Sc. in Data Science, Eötvös Loránd University (ELTE), Budapest, Hungary, 2022.
  Thesis: Memes Scale-Sentiment Detection Using Multi-Modal Learning
• B.Sc. in Computer Science, University Constantine 2, Algeria, 2020.
  Thesis: Towards Deploying a Real-Time Web Scraping Mobile Application in Electronic Newspapers
   

Publications

• S. Ouaari, M. Tsegaye, T. Horvath
  Multimodal Feature Extraction for Memes Sentiment Classification, The 2022 IEEE 2nd Conference on Information Technology and Data Science, CITDS 2022 (Proceedings IEEE Xplore)
• Z. Farou*, S. Ouaari*, B. Domian*, T. Horvath
  Directed Undersampling Using Active Learning for Particle Identification, Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 855)