Sanjeev Sharma CV
Sanjeev Sharma CV
Sanjeev Sharma CV
http://www.searching-eye.com/sanjeevs.html
(+1) 780-246-1885
sanjeev.sharma.iitr@gmail.com; sanjeev1@ualberta.ca
Research Interests
Theory: Convex and Decentralized Optimization; Reinforcement Learning (RL); Multi-Agent Systems
Applications: Autonomous Navigation; Robotics; Motion and Path Planning; Intelligent Systems and Agents
Education
Publications
Journal Article
Zvi Shiller, Sanjeev Sharma, Ishai Stern and Asher Stern, On-Line Obstacle Avoidance at High Speeds.
International Journal of Robotics Research (IJRR), 32 (910), 10301047, 2013.
Conference Papers
Sanjeev Sharma, Autonomous Waypoint Generation with Safety Guarantees: On-Line Motion Planning in
Unknown Environments. International Conference on Advanced Robotics (ICAR), 2013.
Zvi Shiller and Sanjeev Sharma, On-Line Obstacle Avoidance at High Speeds. Israeli Conference on Robotics
(ICR), 2013 (Short Paper).
Zvi Shiller and Sanjeev Sharma, High Speed On-Line Motion Planning in Cluttered Environments. IEEE/RSJ
International Conference on Intelligent Robots and Systems (IROS), 2012.
Zvi Shiller and Sanjeev Sharma, On-Line Obstacle Avoidance at High Speeds. CISM-IFToMM Symposium on
Robot Design, Dynamics, and Controls (RoManSy), 2012.
Sanjeev Sharma, QCQP-Tunneling: Ellipsoidal Constrained Agent Navigation. Second IASTED
International Conference on Robotics, 2011.
Workshop Papers
Ujjwal Dasgupta, Sriram Srinivasan, Sanjeev Sharma and Russell Greiner, Learning Markov Networks with
Bounded Inference Complexity. ICML Workshop on Interactions between Inference & Learning, 2013.
Sanjeev Sharma and Matthew E. Taylor, Autonomous Waypoint Generation Strategy for On-Line Navigation
in Unknown Environments. IROS Workshop on Robot Motion Planning: On-line, Reactive and in Real-time,
2012.
Under Review
Sanjeev Sharma and Matthew E. Taylor, On-Line Motion Planning in Unknown Environments Using
Waypoints. Submitted - International Conference on Robotics and Automation (ICRA), 2014.
Research Experience
Teaching Experience
Teaching Assistant: Machine Learning
CMPUT 466/551
CS Department, University of Alberta, Graduate and Undergraduate Combined
Fall 2013
Teaching Assistant: Introduction to Foundations of Computing-II
CMPUT 175
Technical Skills
Machine Learning, Reinforcement Learning, Convex Optimization, Subgradient Methods, Cutting-Plane
Methods, Ellipsoid Methods, Decomposition Methods (Primal and Dual)
Programming: C/C++, MATLAB, Python, Robot Operating System (ROS)
Robots: iRobot-Create, Clearpath Husky A200, Parrot AR Drone 2.0
Solvers/Libraries/Software: OpenGL, CVX, matplotlib, NumPy, SciPy, LATEX
Optimization Solvers Created: SSMS - Subgradient Solver, Available @ searching-eye.com (Dec 2010)
Achievements
IIT-JEE: All India Rank - 1403 99.5%ile (2007); Earned B. Tech in 2011
NTSE: National Talent Search Examination - Qualified up to state level (2005)
Best Project Award for the Lip Detection in Human Face Images project (2009)
Sanjeev Sharma, Human Lip Detection Including Face Segmentation Under Normal and Ill-Illuminated
Conditions. Technical Report, IIT Roorkee, 2009.