IBISC (Computer Science, Bio-Computing and Complex Systems)  EA 4526 is the STIC laboratory of the Université de Paris Saclay - Université d'Evry, ensuring visibility in this field on the site, meeting the challenges of digital and interdisciplinary research, particularly in Genomics. It is the result of the merger of two laboratories: the LAMI (UMR 8042) and the LSC (FRE 2494). The laboratory is governed by a director, Nazim AGOULMINE, and a deputy director, Lydie NOUVELIERE.

The IBISC laboratory is made up of 4 teams (AROB@S, COSMO, IRA2, SIAM) whose activities are divided into two scientific areas: STIC & SMART SYSTEM and STIC & LIVING SYSTEMS. Without covering all the research activities within them, each axis focuses on an application area which is respectively : Drone & Vehicle, and Personalized and Precision Medicine.

    • STIC & SMART SYSTEM

Research in this area focuses on the design of autonomous, intelligent systems. The notion of a system refers to fleets of the road or air vehicles, robots, distributed and communicating software, and services, or intelligent hardware components equipped with interacting sensors. What these devices have in common is that they are made up of many interacting entities, with autonomous decision-making powers, all coordinating their actions to achieve a common goal. The controlled design of such complex systems poses two major questions: one relating to design methods and the other to optimizing their collective and global functioning, while taking into account fluctuations in their environment. These questions are leading to the exploration of new approaches combining methods and theories from different scientific fields: automatic control, algorithms, and formal methods. Applications are particularly aimed at the Drone and Vehicle fields.

    • STIC & LIVING SYSTEM

This interdisciplinary research covers a broad spectrum of biological issues at different scales of the living world: analysis of biological or biomedical data and signals, modeling of biological systems, learning surgical procedures, and personal assistance. Research focuses on the development of theoretical frameworks, algorithmic methods, and platforms to meet these challenges. In data analysis and systems biology, we use statistical learning models, algorithms for structure prediction, and formal models and methods for analyzing network dynamics. For the learning of surgical gestures and robotic assistance to people, we are developing systems combining techniques for analyzing signals from various sensors and for decision-making. These applications are particularly aimed at the field of personalized and precision medicine.

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Keywords

Stability Approximation algorithm Object detection Fuzzy systems Scheduling Formation control Control Adaptive control Lyapunov theory Réalité augmentée Optimal control Cloud Computing UAV Nonlinear systems Computer vision Pose estimation Disassembly line balancing Modeling Lane reservation Apprentissage automatique Facility location Teleoperation Multi-agent systems Petri nets Vehicle lateral dynamics Optimisation Robustness Uncertainty SVM Tracking control Approximation algorithms Tableaux Réalité virtuelle Game theory Neural networks Cerebral palsy Lyapunov stability Deep Learning Simulation State estimation Calibration Virtual Reality Cloud computing Surgical training Model-checking Interval analysis 3D Interaction Interaction 3D Dynamic programming Gene expression Algorithms Modelling CNN Operator-valued kernel LMI Kernel methods Makespan Nonlinear control Network inference Optimization Heuristic Model predictive control Clustering QoS Collision avoidance Trajectory tracking Image processing Identification Vehicle dynamics Adaptive fuzzy control Complexity Autonomous vehicles Estimation Deep learning Linear matrix inequalities Segmentation Observers Model checking Augmented reality Precision medicine Machine learning Lyapunov methods Pooling function 3D interaction Bi-objective optimization Augmented Reality LMIs Linear programming Classification Clinical gait analysis Robust control Artificial intelligence Motorcycle Systems biology Neural network Feature extraction Context-awareness Timed automata Virtual reality Breast cancer