Jean-Paul Jamont

Université Grenoble Alpes, Laboratoire de Conception et d'Intégration des Systèmes

Papers

Total Citations

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About

Jean-Paul Jamont is a leading researcher in the Internet of Things (IoT), multi-agent systems, and bio-inspired robotics, with a focus on secure, autonomous, and assistive technologies. His work bridges theoretical design and real-world application, particularly in safety-critical and accessibility domains. A major contribution is his 2024 paper on "Opportunistic Sensor-Based Authentication Factors in and for the Internet of Things," which addresses the pressing need for secure, context-aware authentication in IoT ecosystems—leveraging the unique advantages of connected objects to prevent unauthorized access. This work has already garnered 5 citations, signaling its emerging impact. Jamont also pioneers bio-inspired models for assistive devices, as demonstrated in his 2024 study on a predictive navigation model for visually impaired individuals and autonomous systems, tested in real-world environments. His earlier research on "Handling Safety-Related Non-Functional Requirements in Embedded Multi-Agent System Design" (2014) underscores his long-standing commitment to robust, safe system architectures. Through these contributions, Jamont advances the integration of security, autonomy, and human-centric design, making him a key figure in developing intelligent, trustworthy technologies for the IoT and assistive robotics.