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
Email: click here

Stephane Redon



New: Check out the SAMSON videos and screenshots for demonstrations of interactive editing sessions (e.g. interactive flexible docking, etc.).




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. Grudinin and S. Redon. “Practical modeling of molecular systems with symmetries”. in Journal of Computational Chemistry. To appear.

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

  • 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.


In the pipeline

  • S. Grudinin and S. Redon. “Adaptive fast multipole method”.
  • S. Grudinin and S. Redon. “Efficient boundary element method with curved elements for implicit solvation in biological systems”.
  • S. Redon and S. Grudinin. “Multiresolution editing of molecular structures”.


Recent Professional Service