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Karine Zeitouni
Professeure
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Equipe
A Propos de moi
Karine Zeitouni is a Professor in Computer Science at the Technical Institute of Technology of Vélizy – UVSQ – Université Paris-Saclay. She received her Ph.D. in Computer Science from the University of Pierre et Marie Curie (Paris VI), and her HDR (qualification for supervising research) from the University of Versailles. She is Deputy Director of the Graduate School of Computer Science since March 2021. She is heading the Ambient Data Access and Mining (ADAM) group at DAVID laboratory. Her main research interest lies in databases, big data and data mining, with a focus on spatial and/or temporal data. She mainly applies her research in the fields of transportation, environment, universe science, and health. She has supervised 16 graduate Ph.D. students. She has co-authored over 120 peer-reviewed journal and conference papers. Her research is funded by national grants and multi-partner projects, bilateral research collaboration programs, and the European Union’s Horizon 2020 research and innovation program. She regularly serves as a PC member in international conferences in the field of (spatial) databases and data mining, machine learning and as a reviewer for national and international journals in these domains. She has (co-)chaired several conferences and workshops national and international wise.
Lieu de travail:
Bureau 304 – Bâtiment Descartes, UFR de Sciences, UVSQ
Contact
email: Karine dot Zeitouni at uvsq dot fr
Numéro de tél professionnel : +33 (0)1 39 25 40 46
Compte Linkedin
Responsabilités :
Responsable de l’équipe
Directrice adjointe à la formation de la GS ISN, Université Paris-Sacaly
Machine Learning and Artificial Intelligence:
Developing novel algorithms and techniques for machine learning and artificial intelligence, such as deep learning, reinforcement learning, natural language processing, and computer vision.
[…]
Social Networks and Data Mining :
Exploring patterns and dynamics in social networks, as well as developing algorithms for mining and analyzing social media data, recommendation systems, and sentiment analysis.
Deep Learning for Image Recognition
This project aims to develop advanced deep learning models and algorithms for image recognition tasks. The research focuses on improving the accuracy and efficiency of image classification, object detection, and semantic segmentation using convolutional neural networks (CNNs) and attention mechanisms.
Privacy-Preserving Machine Learning
This project focuses on developing privacy-preserving techniques for machine learning algorithms. The research involves exploring methods such as differential privacy, federated learning, and secure multiparty computation to enable collaborative data analysis while preserving data privacy and confidentiality.
Natural Language Processing for Sentiment Analysis
This project aims to enhance sentiment analysis techniques by leveraging natural language processing (NLP) algorithms. The research involves developing sentiment lexicons, sentiment classification models, and sentiment analysis tools to accurately interpret and analyze sentiments expressed in text data from social media platforms and online reviews.
Blockchain-Based Smart Contracts for Supply Chain Management
This project focuses on utilizing blockchain technology and smart contracts to enhance transparency, security, and efficiency in supply chain management. The research involves developing and implementing blockchain-based solutions to track and authenticate product provenance, automate contract execution, and enable secure and traceable transactions within the supply chain.
Contact
david@david.com
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Disciplines
Mots-clefs
Auteurs
Zeitouni Karine109
Taher Yehia16
Wan Tao9
Mousheimish Raef9
Gardarin Georges8
Savary L.8
Sandu-Popa Iulian8
Chelgoum N.6
Boulmakoul Azedine5
Yeh Laurent5
Sandu Popa Iulian5
Boulmakoul A.4
Kharrat A.4
Marghoubi R.4
Borcea Cristian4
Abboud Mohammad3
Chachoua Mohamed3
Meng X.3
Pucheral Philippe3
Lamarre Philippe3
Nguyen Benjamin3
Hameurlain Abdelkader3
Zuo Jingwei3
Amanzougarene Fatiha2
Brahem Mariem2
Casanova Marco2
Chelghoum Nadjim2
Cherradi Ghyzlane2
Coelho da Silva Ticiana2
Dupin F.2
Hafyani Hafsa El2
Kesmarszky Philippe2
Macedo José2
Meng Xiaofeng2
Michel Dubus2
Métais Elisabeth2
Sadoun Isma2
Saint-Pierre G.2
Savary Lionel2
Taher Yéhia2
Ton That Dai Hai2
Vandewalle Jean-Jacques2
Kontarinis Alexandros2
Cruz Lívia Almada2
Abboud Mohammad2
Hankach Pierre2
Lopes Stéphane2
Marinica Claudia2
Kotzinos Dimitris2
Anciaux Nicolas2
Vodislav Dan2
Alage Stéphanie1
Aridhi Sabeur1
Aufaure Marie-Aude1
Bai Y.1
Bellafkih M.1
Berthelot M.1
Berthelot Morgane1
Bonnaire Nicolas1
Borcea Cristian1
Bouillon Laura1
Bouziri Adil El1
Butnaru Bogdan1
Buton C.1
Campos Arthur1
Chelly Dagdia Zaineb1
Chen Jidong1
Coelho da Silva Ticiana Linhares Coelho1
Cordeiro Matheus Gomes1
Dbouk Mohamed1
Dierstein A.1
Doctorale Ecole1
Ehrlich J.1
El Bouziri Adil1
Elmzabi A.1
Faiz S.1
Fan Lin1
Fiandrino A.1
Garcia-Rodriguez Sandra1
Gros Valérie1
Hafyani Hafsa E.L.1
Haque Rafiqul1
Hassen Wafa Ben1
Heuvel Willem Jan V. D.1
Hristov Atanas1
Idri Abdelfattah1
Jiang Luxin1
Karim Lamia1
Kauffmann Anne1
Kedad Zoubida1
Khan Mohammad A.1
Kharrat Ahmed1
Krebs Anne1
Ktaish Ahmad1
Lai C.1
Lai Caifeng1
Languille Baptiste1
Lassarre S.1
Laugier T.1
Lettich Francesco1
Li Miao1
Loubresac L.1
Magalhães Régis Pires1
Martin Jean Marc1
Masri Ali1
Mehanna Souheir1
Melo Wilken Charles Dantas1
Mousheimish Raef1
Mudu P.1
Nakache Didier1
Nakatche D.1
Naline Baudouin1
Naude Jean-Marc1
Nguifo Engelbert Mephu1
Oria Vincent1
Oukarfi Mariyem1
Pan Juan1
Pan Susan Juan1
Popa Iulian Sandu1
Ramdani M.1
Ravot Nicolas1
Ray Cyril1
Renso Chiara1
Rodriguez Sandra Garcia1
Sansano Y1
Silva José Soares Da1
Srairi Salim1
That Dai Hai Ton1
Vasilakos Athanasios1
Wan T.1
Wang L.1
Wang Ling1
Wu Qiongli1
Xiong Naixue1
Zhang Jinjun1
Zhang Li1
Zuo Jingwei1
Zuo Zhiheng1
da Silva Ticiana1
da Silva Ticiana Linhares Coelho1
de Macedo Jose1
de Macedo Jose A.F.1
de Macedo Jose Antonio Fernandes1
de Macedo José Antonio Fernandes1
de Macedo José António Fernandes D.1
Araujo Renata1
Le Trung Dung1
Naline Baudouin1
Garcia-Rodriguez Sandra1
Su Huai1
Brahem Mariem1
Yeh Laurent1
Fan Qingfeng1
Tian Yu-Chu1
Taher Yehia1
Nguifo Engelbert Mephu1
Aridhi Sabeur1
Bouganim Luc1
Banos Arnaud1
Olteanu-Raimond Ana-Maria1
Alshaer Mohammed1
Servigne Sylvie1
Petit Jean-Marc1
Hacid Mohand-Said1
Agoulmine Nazim1
Guo Y.1
Grigori Daniela1
Glaser S.1
Chen Jie1
Lesbegueries Julien1
Jobard Bruno1
Grigori Daniela1
Tjoa A Min1
Tjoa a Min1
Auteurs de la structure
Revues
Année de production
Établissements
Laboratoires
Départements
Équipes de recherche
Articles dans une revue22 documents
Communications dans un congrès68 documents
N°spécial de revue/special issue1 document
Ouvrages (y compris édition critique et traduction)6 documents
Chapitres d'ouvrage4 documents
Autres publications7 documents
Thèses1 document
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Nouvelles
Offre de poste de Maitre(sses) de Conférences
Description: L’université de Versailles St-Quentin recrute un poste de maître(sse) de conférences en informatique (section 27) lors de la session synchronisée du concours. Il sera rattaché
Offres
Offre de poste de Maitre(sses) de Conférences
Description: L’université de Versailles St-Quentin recrute un poste de maître(sse) de conférences en informatique (section 27) lors de la session synchronisée du concours. Il sera rattaché à l’UFR des sciences, département informatique et au laboratoire DAVID en recherche. Profil recherche : La recherche du candidat devra s’inscrire dans les domaines de l’équipe ADAM (Ambient Data Access […]
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