Thèmes de recherche

The research of the CSDAI department is organized in six themes. These themes bring together research groups of seven laboratories of IP Paris: LTCI, LIX, Samovar, U2IS, Imagine/ENPC, CMAP and Lab-STICC. Most of the groups contribute to several themes:

• Theme 1: CS in biotechnologies and health focuses on bioinformatics, computational biology service robotics, coaching (reeducation), medical imaging, aid to diagnosis, anomaly detection,
  Research groups: amibio (Algorithms and models for integrative biology), images (Image, Modeling, Analysis, GEometry, Synthesis), armedia (Applied Research for (multi)Media Enrichment, Diffusion, Interaction and Analysis), sar (Autonomous Systems and Robotics)
• Theme 2: trust, safety and cybersecurity focuses on crypto, cybersecurity, validation, verification, safety, malware, cyber-attacks, privacy and data protection,
  Research groups: comete, grace, cosynus, aces (Autonomous Critical Embedded Systems), c2 (cybersecurity and cryptography), labsoc (System on Chip), acmes, scn, ssh (Semantics of Hybrid Systems), ssh (Secure and Safe Hardware)
• Theme 3: next generation digital infrastructures focuses on IoT, 5G/6G and beyond, intelligent networks, quantum networks, distributed systems and algorithms, HPC, multimedia services,
  Research groups: networks, aces (Autonomous Critical Embedded Systems), rms (Networks, Mobility and Services), acmes, benagil, NeSS (Networks systems and services)
• Theme 4: robotics, visual computing, interaction focuses in robotics, CPS, control, embedded systems, computer graphics, human machine interaction, image, signal, computer vision, perception, virtual and augmented reality, multimodal interactions, NLP, social robotics, vocal interactions,
  Research groups: geomerix (Geometric & Visual Computing), vista (Visual worlds: temporal analysis, animation and authoring), diva (Design, Interaction, Visualization & Applications), images (Image, Modeling, Analysis, GEometry, Synthesis), mm (multimedia), s2a (Signal, Statistics and Learning), armedia (Applied Research for (multi)Media Enrichment, Diffusion, Interaction and Analysis), sar (Autonomous Systems and Robotics), IMAGINE (Computer Vision, Machine Learning and Optimization)
• Theme 5: foundations of CS focuses on logics, semantics, algorithmics, models of computation, quantum computations, formal languages, computer algebra, combinatorics, optimisation, formal methods,
  Research groups: alco (Algorithms and Complexity, cosynus, combi, max (Algebraic modeling and symbolic computation), optimix, partout (Proof Automation and RepresenTation: a fOundation of compUtation and deducTion), aces (Autonomous Critical Embedded Systems), iqa (Quantum Information and Applications), methodes, ssh (Semantics of Hybrid Systems), sar (Autonomous Systems and Robotics)
• Theme 6: data science and AI focuses on data analytics, big data management, data science, symbolic AI, neural networks, graph, machine/deep learning, graph mining, text mining/NLP, knowledge bases, explainability/ethics, reliability, hybrid AI.
  Research groups: cedar, dascim (Data Science and Mining), dig (Data, Intelligence and Graphs), s2a (Signal, Statistics and Learning), acmes, armedia (Applied Research for (multi)Media Enrichment, Diffusion, Interaction and Analysis), sar (Autonomous Systems and Robotics), IMAGINE (Computer Vision, Machine Learning and Optimization)