The 9th edition of the Junior Conference on Data Science and Engineering (JDSE) 2024 offers students and young researchers from Université Paris Saclay and Institut Polytechnique de Paris the opportunity to share their research results and develop their critical thinking skills. JDSE is an excellent opportunity to expand your professional network and improve your research presentation skills.
If you're finishing your internship as a second-year Master's student, or if you're a first/second-year PhD student at UPSaclay or IPP, and you've got some great research results waiting to be shared with your colleagues, Master's students or PhD students: present them at the JDSE conference!
Submissions should be in the form of an extended abstract and should adopt the style of the Springer publication format for the following articles Lecture Notes in Computer Science (LNCS). We accept submissions in PDF format, in English, consisting of 1 to 3 pages containing an abstract, research background and problem, proposed approach and implemented or envisaged contribution. A list of keywords and references is required. Masters students are encouraged to contribute even if only preliminary results are available at the time of submission.
Les sujets d'intérêt incluent, mais ne sont pas limités à :
- Applied Machine Learning and Deep Learning (NLP, Computer Vision, Bioinformatics, Audio Processing...) ;
- Theoretical Machine Learning (statistics, learning theory, optimization,...) ;
- Data mining and Big Data analytics ;
- Databases ;
- Semantic Web ;
- Applications of data science (biomedical/biological data, physics, chemistry, image, audio, video, ...) ;
- Data Privacy.
Important dates
Submission deadline: August 25, 2024
Notification of acceptance : September 13, 2024
Registration: September 19, 2024
Conference: September 26 and 27, 2024
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Alessandra Carbone, Sorbonne University - Deep Learning in protein-protein interactions
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Oana Goga, CNRS - Measuring and mitigating risks with online platforms
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Anthony Coutant, HephIA - Trajectoire d'une Startup Deep Tech en IA : de l'IA exploratoire pour les Industries à l'IA générative pour le droit
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Harley Davis, Athena Decision Systems - AI Agent Precision: Maximizing Decision Accuracy with Business Rules Integration
Junior Committee
- Kévin Dradjat, Evry Val-d'Essonne (UEVE) Paris-Saclay University
- Zoé Chevallier, Versailles Saint-Quentin-en-Yvelines (UVSQ) Paris-Saclay University
Scientific Committee
- Radu-Alexandru Dragomir, Télécom Paris, Institut Polytechnique de Paris
- Clément Fisher, CEA, Paris-Saclay University
- Massinissa Hamidi, Evry Val-d'Essonne (UEVE) Paris-Saclay University
- Michel Kieffer, Paris-Saclay University
- Nicolas Lerme, Paris-Saclay University
Local organization
- Marie Laveau, Paris-Saclay University
- Almira Musa, Paris-Saclay University