I am a doctoral candidate in the Department of Computer Science at the University of New Hampshire where I work with Professor Wheeler Ruml in the UNH Artificial Intelligence Group, and I also collaborate with Dr. Masataro Asai from the MIT-IBM Watson AI Lab in Cambridge, MA. My research interests are in using heuristic search for planning under time pressure, as well as in algorithms for autonomy. I completed my MS degree in computer science in 2020 with research in the area of network time synchronization and one-way latency measurement with Professor Radim Bartoš. See my papers and current research below. You can find my CV here. Please feel free to reach out! sjw[at]cs[dot]unh[dot]edu |
Motion Planning with Dynamic Obstacles (Fall 2020--Fall 2021, Prof. Wheeler Ruml): Implementing offline anytime BIT* and integrating into a field-tested ROS-based autonomy stack for a surface vessel for performance comparison with alternative realtime algorithm.
Data-Driven Dynamics Model for a Boat (CS 850: Machine Learning, Spring 2021, Prof. Marek Petrik): Used k-nearest neighbors to learn a data-driven model from physics-based simulated data as proof-of-concept for use in model-predictive control.