Stephane Redon

Contact Information

Adress:
NANO-D
INRIA Grenoble - Rhone-Alpes
655 avenue de l’Europe - Montbonnot
38334 Saint Ismier Cedex - France





Telephone: +33 4 76 61 55 69
Fax: +33 4 56 52 71 20
Email: click here

 Stephane Redon



News! I have been fortunate enough to be awarded an ERC Starting Grant from the European Research Council for my ADAPT project. The grant will support a five-year research project within the NANO-D group to develop a unified theory, as well as associated algorithms, for adaptive particle simulation. Stay tuned for upcoming openings in the group!




Short Bio

Stephane Redon leads the NANO-D research group at the INRIA Grenoble - Rhone-Alpes Research Center. He graduated from Ecole Polytechnique in 1998, and received his M.S. in 1999 from Pierre and Marie Curie University, France. He received a Ph.D. in Computer Science in 2002 from INRIA Rocquencourt - Evry University, France, while working with Dr. Sabine Coquillart and Prof. Abderrahmane Kheddar on robust interactive simulation of rigid body systems and its applications to virtual prototyping and animation. He spent two years in the Department of Computer Science of the University of North Carolina at Chapel Hill as a Post-Doctoral Research Associate, working with Prof. Ming C. Lin in the GAMMA research team. His research interests have included the design of robust and realistic real-time virtual environments, collision detection, haptics, motion planning, simulation levels of detail, and computational molecular biology. His current research is centered on the development of computational methods for modeling and simulation of natural and artificial nanosystems.


Download Resume (including full publications list)


Selected publications

  • S. Redon. “Molecular Geometry Optimization - Algorithms”. Encyclopedia of Applied and Computational Mathematics, Springer-Verlag, in Press.


  • M. Bosson, S. Grudinin and S. Redon. “Block-Adaptive Quantum Mechanics: an adaptive divide-and-conquer approach to interactive quantum chemistry”. Journal of Computational Chemistry, in Press.


  • S. Artemova and S. Redon. “Adaptively Restrained Particle Simulations”. Physical Review Letters. Volume 109. Issue 19, p. 190201. ARPS - Download PDF. ARPS - Download Supplemental Material.


  • M. Bosson, C. Richard, A. Plet, S. Grudinin and S. Redon. “Interactive quantum chemistry: a divide-and-conquer ASED-MO method”. Journal of Computational Chemistry. Volume 33, Issue 7, pp. 779–790. Download PDF.


  • M. Bosson, S. Grudinin, X. Bouju and S. Redon. “Interactive physically-based structural modeling of hydrocarbon systems”. Journal of Computational Physics. Volume 231, Issue 6, pp. 2581–2598. Download PDF.


  • S. Artemova, S. Grudinin and S. Redon. “A comparison of neighbor search algorithms for large rigid molecules”. Journal of Computational Chemistry. Volume 32, Issue 13, pp. 2865-2877. Download PDF.


  • S. Artemova, S. Grudinin and S. Redon. “Fast construction of assembly trees for molecular graphs”. Journal of Computational Chemistry. Volume 32, Issue 8, pp. 1589-1598. Download PDF.


  • A. Bolopion, B. Cagneau, S. Redon and S. Regnier. “Variable gain haptic coupling for molecular simulation”. In Proceedings of IEEE World Haptics Conference (WH 2011). Download PDF.


  • A. Bolopion, B. Cagneau, S. Redon and S. Regnier. “Comparing position and force control for interactive molecular simulators with haptic feedback”. In Journal of Molecular Graphics and Modelling. Volume 29, Issue 2, September 2010, pp. 280-289. Download PDF.


  • A. Bolopion, B. Cagneau, S. Redon and S. Regnier. “Haptic molecular simulation based on force control”. In Proceedings of IEEE/ASME International Conference on Advanced Intelligent Mechatronics (AIM 2010). Download PDF.


  • S. Grudinin and S. Redon. “Practical modeling of molecular systems with symmetries”. in Journal of Computational Chemistry. Volume 31, Issue 9, pp. 1799-1814. Download PDF.


  • A. Bolopion, B. Cagneau, S. Redon and S. Regnier. “Haptic feedback for molecular simulation”. In Proceedings of IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2009). Download PDF.


  • R. Rossi, M. Isorce, S. Morin, J. Flocard, K. Arumugam, S. Crouzy, M. Vivaudou, and S. Redon. “Adaptive torsion-angle quasi-statics: a general simulation method with applications to protein structure analysis and design”. Bioinformatics 2007 23(13):i408-i417. Download PDF.


  • S. Morin and S. Redon. “A Force-Feedback Algorithm for Adaptive Articulated-Body Dynamics Simulation”. In Proceedings of IEEE International Conference on Robotics and Automation (ICRA 2007). Download PDF.


  • S. Redon and M. C. Lin. “An Efficient, Error-Bounded Approximation Algorithm for Simulating Quasi-Statics of Complex Linkages”. In Computer-Aided Design, 38 (2006) 300-314, Elsevier. Download PDF.


  • S. Redon, N. Galoppo and M. C. Lin. “Adaptive Dynamics of Articulated Bodies”. In ACM Transactions on Graphics (SIGGRAPH 2005), 24(3), 2005. Download PDF.



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