education and training
- Ph.D. in Computer Science, University of Illinois at Urbana Champaign - (Urbana, Illinois, United States) 1995
- M.S. in Computer Science, University of California, Berkeley - (Berkeley, California, United States) 1988
- B.S. in Mathematical Sciences, Stanford University - (Stanford, California, United States) 1986
- A.B. in Economics, Stanford University - (Stanford, California, United States) 1986
- Agha-mohammadi, A., Chakravorty, S., & Amato, N. M. (2014). FIRM: Sampling-based feedback motion-planning under motion uncertainty and imperfect measurements. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH. 33(2), 268-304.
- Tomkins, D., Smith, T., Amato, N. M., Rauchwerger, L., & Machinery, A. C. (2014). SCCMulti An Improved Parallel Strongly Connected Components Algorithm. Proceedings of the ACM SIGPLAN Symposium on Principles and Practice of Parallel Programming, PPOPP. 49(8), 393-394.
- Ghosh, M., Amato, N. M., Lu, Y., & Lien, J. (2013). Fast approximate convex decomposition using relative concavity. CAD Computer Aided Design. 45(2), 494-504.
- Lu, Y., Lien, J., Ghosh, M., & Amato, N. M. (2012). alpha-Decomposition of polygons. Computers & Graphics. 36(5), 466-476.
- Drake, R. P., Doss, F. W., McClarren, R. G., Adams, M. L., Amato, N., Bingham, D., ... Visco, A. J. (2011). Radiative effects in radiative shocks in shock tubes. HIGH ENERGY DENSITY PHYSICS. 7(3), 130-140.
- Doctoral Student Workshop on Algorithmic Foundations of Robotics awarded by National Science Foundation 2014 - 2015
- AF: Small: Motion Planning Techniques for Protein Motion awarded by National Science Foundation 2014 - 2019
- Nutrition, Biostatistics and Bioinformatics Training Grant awarded by DHHS-NIH-National Cancer Institute 2013 - 2021
- RI: Small: Sampling Based Feedback Motion Planners awarded by National Science Foundation 2012 - 2016
awards and honors
recent teaching activities
chaired theses and dissertations
- Talavatifard, Habiballah (2013-05). Application of L1 Minimization Technique to Image Super-Resolution and Surface Reconstruction. (Master's Thesis)
- Boyd, Bryan 1985- (2012-12). Local Randomization in Neighbor Selection Improves PRM Roadmap Quality. (Master's Thesis)
- Ghosh, Mukulika (2012-08). Fast Approximate Convex Decomposition. (Master's Thesis)
- Manavi, Kasra Mehron (2012-05). Medial Axis Local Planner: Local Planning for Medial Axis Roadmaps. (Master's Thesis)
- Rodriguez, Samuel Oscar (2012-05). Roadmap-Based Techniques for Modeling Group Behaviors in Multi-Agent Systems. (Doctoral Dissertation)
Texas A&M University; Engineering Academic Coordination; 3126 TAMU
College Station, TX 77843-3112