Department of Mathematics and Mechanical Engineering, Research advisor: Prof. Igor Chudinovich

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1 Anna Yershova Curriculum Vitae Post-Doctoral Research Associate Office: LSRC D224 Department of Computer Science Phone: Duke University Durham, NC 27707, USA URL: yershova Research Interests Geometric problems arising in conformational spaces of molecules and configuration spaces in robotics, NMR structural biology, motion planning, robotics. Education Ph.D. Aug Aug 2008 M.S. Jan Aug 2003 B.S. Sep June 1999 Department of Computer Science, University of Illinois, USA Dissertation: Sampling and Searching Methods for Practical Motion Planning Algorithms Research Prof. Steven M. LaValle Department of Computer Science,, USA Thesis: A Multi-Relational Decision Tree Learning Algorithm - Implementation and Experiments Research Prof. Vasant Honavar Department of Mathematics and Mechanical Engineering, Kharkiv National University, Ukraine Research Prof. Igor Chudinovich Academic Employment Sep Present Aug Aug 2008 June Jul 2004 Post-Doctoral Research Associate Donald Lab, Department of Computer Science, Duke University Development and implementation of the algorithms for protein structure determination from various NMR data; protein design. Prof. Bruce R. Donald Motion Strategy Laboratory, Department of Computer Science, University of Illinois Development and implementation of efficient sampling-based motion planning algorithms for problems with kinematic and differential constraints. Prof. Steven M. LaValle Visiting Scholar Laboratory for Analysis and Architecture of Systems, Toulouse, France Integration of the nearest-neighbor searching techniques into Move3D software package; development of the Dynamic-Domain RRT planner. Prof. Nicola Simeon 1

2 June Aug 2003 Jan Aug 2001 AI Research Laboratory, Department of Computer Science, Development, implementation and testing of a decision tree learning algorithm for large relational databases. Prof. Vasant Honavar Robotics and Computational Geometry Group, Department of Computer Science, Development of an efficient algorithm for nearest-neighbor searching in topological spaces that arise in the context of motion planning; integrating it into Motion Strategy Library. Prof. Steven M. LaValle Teaching Experience Jan May 2002 Sep Dec 2001 Jan May 2001 Sep Dec 1999 Teaching Assistant for Theory of Computation graduate course Teaching Assistant for Theory of Computation undergraduate course Teaching Assistant for Design and Analysis of the Algorithms undergraduate course Teacher of algebra, introduction to mathematical calculus, and geometry Kharkiv Gymnasium Veresen Honors and awards 2006 Dave & Jane Liu Award (exceptional research promise) Department of Computer Science, University of Illinois Research Fellowship Graduate College 2002 Graduate Teaching Excellence Award John Vincent Atanasoff Graduate Award Department of Computer Science at 1999 Diploma with Honor Kharkiv National University Open Source Software MPNN: Nearest Neighbor Library for Motion Planning yershova/software/mpnn/mpnn.htm Anna Yershova,

3 Library for Uniform Deterministic Sequences/Sets of Samples over 2-sphere and SO(3) yershova/software/so3sampling/so3sampling.htm Swati Jain, Anna Yershova, Julie Mitchell, 2009 Journal Papers Mapping and Pursuit-Evasion Strategies For a Simple Wall-Following Robot Anna Yershova, Benjamin Tovar, Robert Ghrist, and Steven M. LaValle IEEE Transactions on Robotics, 2009, under review Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration Anna Yershova, Swati Jain, Steven M. LaValle, and Julie C. Mitchell The International Journal of Robotics Research, 29: , Jun 01, 2010; Improving Motion Planning Algorithms by Efficient Nearest-Neighbor Searching Anna Yershova, and Steven M. LaValle IEEE Transactions on Robotics, 23(1): , February 2007 Invited Papers Extracting Visibility Information by Following Walls Anna Yershova, Benjamin Tovar, and Steven M. LaValle, In Sandor Fekete and Rudolf Fleischer and Rolf Klein and Alejandro Lopez-Ortiz, editors, Dagstuhl Seminar Proceedings, Internationales Begegnungs- und Forschungszentrum fuer Informatik (IBFI), Schloss Dagstuhl, Germany, Information Spaces for Mobile Robots Benjamin Tovar, Anna Yershova, Jason M. O Kane, and Steven M. LaValle, Fifth International Workshop on Robot Motion and Control (RoMoCo 2005) Refereed Conference and Workshop Papers Motion Planning in Highly Constrained Spaces Anna Yershova and Steven M. LaValle In Proc. Ninth International Workshop on Robot Motion and Control (RoMoCo 2009) Generating Uniform Incremental Grids on SO(3) Using the Hopf Fibration Anna Yershova, Steven M. LaValle, and Julie C. Mitchell In Proc. Eighth International Workshop on the Algorithmic Foundations of Robotics (WAFR 2008) Bitbots: Simple Robots Solving Complex Tasks Anna Yershova, Benjamin Tovar, Robert Ghrist, and Steven M. LaValle In Proc. The Twentieth National Conference on Artificial Intelligence (AAAI 2005) Adaptive Tuning of the Sampling Domain for Dynamic-Domain RRTs L. Jaillet, A. Yershova, S. M. LaValle, and T. Simeon In Proc. IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2005) Dynamic-Domain RRTs: Efficient Exploration by Controlling the Sampling Domain A. Yershova, L. Jaillet, T. Simeon, and S. M. LaValle In Proc. IEEE International Conference on Robotics and Automation (ICRA 2005) Incremental Grid Sampling Strategies in Robotics Stephen R. Lindemann, Anna Yershova, and Steven M. LaValle In Proc. Sixth International Workshop on the Algorithmic Foundations of Robotics (WAFR 2004) 3

4 Deterministic sampling methods for spheres and SO(3) Anna Yershova and Steven M. LaValle In Proc. IEEE International Conference on Robotics and Automation (ICRA 2004) A Multi-Relational Decision Tree Learning Algorithm - Implementation and Experiments Anna Atramentov, Hector Leiva, Vasant Honavar In Proc. of the 13th International Conference on Inductive Logic Programming, pages (ILP 2003) Speeding Up Multi-Relational Data Mining Anna Atramentov and Vasant Honavar In Workshop on Learning Statistical Models from Relational Data at 2003 International Joint Conference on Artificial Intelligence (IJCAI 2003) Experiments with MRDTL A Multirelational Decision Tree Learning Algorithm H. Leiva, A. Atramentov, and V. Honavar In Workshop on Multi-Relational Data Mining at 2002 International Conference on Knowledge Discovery and Data Mining (KDD 2002) Efficient Nearest Neighbor Searching for Motion Planning Anna Atramentov and Steven M. LaValle In Proc. IEEE International Conference on Robotics and Automation, pages (ICRA 2002) Theses, Posters, and Technical Reports Protein Structure Determination using Sparse Orientational Restraints from NMR Data C. Tripathy, A. Yershova, P. Zhou, and B. R. Donald, Biochemistry Department Retreat, NC Biotechnology Center, RTP, NC, September 26, Winner of Best Poster Award. Sampling and Searching Methods for Practical Motion Planning Algorithms Anna Yershova Ph.D. Dissertation, UIUC, 2008 A Multi-Relational Decision Tree Learning Algorithm - Implementation and Experiments Anna Atramentov M.S. Thesis,, 2003 Textbooks for High School Dictionary on Algebra and Introduction to Mathematical Calculus for High School Students (in Russian) L. Gendenshtein, A. Yershova and A. Yershova (1997) Exercise Materials on Mathematics for High School Students (in Russian) A. Yershova, D. Goloborodko and A. Yershova (1998) Invited Talks Mapping and Pursuit-Evasion Strategies For a Simple Wall-Following Robot Algorithms Seminar Series, Duke University, April 20, 2010 Automated High-Resolution Protein Structure Determination using Residual Dipolar Couplings Distinguished Seminar Series at ECE department, NC State University, February 5, 2010 Sampling and Searching Methods in Robotics and Computational Biology NIFP Workshop, Rice University, October 20,

5 Sampling and Searching Methods for Practical Motion Planning Algorithms Algorithms Seminar at Computer Science Department, Duke University, September 17, 2007 Sampling and Searching Methods for Practical Motion Planning Algorithms Preliminary examination, UIUC, August 29, 2007 Progress with Dynamic Domain RRTs Toyota Motor Corporation, Japan, March 8, 2006 Sampling based Motion Planning Introduction to Robotics, ECE 470, The University of Illinois at Urbana-Champaign, November 10, 2005 Deterministic sampling methods for spheres and SO(3) American Mathematical Society/Northwestern University Math. Dept. meeting, Evanston, IL, October 23-24, 2004 Sampling Methods in Robot Motion Planning LAAS-CNRS/RIA Research Group Seminar, Toulouse, France, June 15, 2004 The Recent Impact of QMC Methods on Robot Motion Planning International Conference on Monte Carlo and Quasi-Monte Carlo Methods in Scientific Computing (MC2QMC 2004), Juan-les-Pins, France, June 8, 2004 Professional and Scientific Activities Reviewer for SIAM Review journal (SIREV), International Journal of Robotics Research (IJRR), Transactions on Robotics Journal (TRO), International Conference on Robotics and Automation (ICRA), International Conference on Intelligent Robots and Systems (IROS), Workshop on the Algorithmic Foundations of Robotics (WAFR), Uncertainty in Artificial Intelligence (UAI) References Bruce Randall Donald (Post-Doc advisor) William and Sue Gross Professor Departments of Computer Science and Biochemistry Duke University Julie C. Mitchell Associate Professor Departments of Mathematics and Biochemistry University of Wisconsin-Madison Steven M. LaValle (Ph.D. advisor) Professor Department of Computer Science University of Illinois Robert W. Ghrist Professor, Departments of Mathematics and Electrical / Systems Engineering University of Pennsylvania 5

CURRICULUM VITAE. Evan Drumwright EDUCATION PROFESSIONAL PUBLICATIONS

CURRICULUM VITAE. Evan Drumwright EDUCATION PROFESSIONAL PUBLICATIONS CURRICULUM VITAE Evan Drumwright 209 Dunn Hall The University of Memphis Memphis, TN 38152 Phone: 901-678-3142 edrmwrgh@memphis.edu http://cs.memphis.edu/ edrmwrgh EDUCATION Ph.D., Computer Science, May