Lewis Fishgold
PhD StudentDepartment of Computer Science
University of Texas at Austin
Research advisors: Dana Ballard and Ben Kuipers
lewfish@cs.utexas.edu
My research interests lie at the confluence of machine learning, knowledge representation, robotics, and human cognitive development. I'm especially interested in learning causal models, symbol grounding, conceptual change, and inductive constraints. Right now, I'm working on a model of how infants learn about rigid object dynamics from perceptual input. If you are interested in any of these topics, feel free to email me and we can chat!
Before starting grad school, I was a software developer at Quantum Leap Innovations in Newark, DE, working on various commercial applications of AI. Prior to that, I got my B.S. from the University of Delaware, where I did research on compilers in the High Performance Computing Lab.
Refereed Conference Papers
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers. Learning the Sensorimotor Structure of the Foveated Retina. Proceedings of the Ninth International Conference on Epigenetic Robotics, 2009.
Lewis Fishgold, Anthony Danalis, Lori Pollock, and Martin Swany. An Automated Approach to Improving Communication-Computation Overlap in Clusters. Proceedings of the International Conference on Parallel Computing, 2005.
Symposium & Workshop Papers
Jeremy Stober, Lewis Fishgold, and Benjamin Kuipers. Sensor Map Discovery for Developing Robots. AAAI Fall Symposia Series: Manifold Learning and Its Applications, 2009.
Srikanth Kallurkar, Bin Yu, Jay Askren, Lewis Fishgold, Ganesh Vaidyanathan, Donald Steiner, and Robert Flo. AIMS: An Agent-Based Information Management System in JBI-like Environments. Proceedings of the International Symposium on Collaborative Technologies and Systems, 2007.
Poster Presentations
Lewis Fishgold, Benjamin Kuipers, and Dana Ballard. Towards a Computational Model of Learning Rigid Object Dynamics from Perceptual Input. Meeting of the Cognitive Development Society, 2009.