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

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