Andrew H. Fagg
Industrial and system Engineering
University of Oklahoma
United States of America
Biography
Dr. Andrew H. Fagg is an associate professor in the School of Computer Science at the University of Oklahoma. He holds a BS in Applied Mathematics/Computer Science from Carnegie-Mellon University, and a MS and a PhD in Computer Science from the University of Southern California. His research focuses on the computational issues surrounding the symbiotic relationships between humans and machines. In particular, he is interested in primate and robot learning of motor skills and task-oriented representations; reaching, grasping, and manipulation; brain-machine interfaces; and interactive art.
Research Interest
Machine learning, robotics, computational neuroscience, brain-machine interfaces and interactive art.
Publications
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Fagg AH, Ojakangas GW, Miller LE, Hatsopoulos NG. Erratum to “Kinetic Trajectory Decoding Using Motor Cortical Ensemblesâ€. IEEE Transactions on Neural Systems and Rehabilitation Engineering. 2009 Dec;17(6):606-. Wang D, Watson BT, Fagg AH. A switching control approach to haptic exploration for quality grasps. InProceedings of the Workshop on Robot Manipulation: Sensing and Adapting to the Real World at the 2007 May. Fagg AH, Hatsopoulos NG, de Lafuente V, Moxon KA, Nemati S, Rebesco JM, Romo R, Solla SA, Reimer J, Tkach D, Pohlmeyer EA. Biomimetic brain machine interfaces for the control of movement. Journal of Neuroscience. 2007 Oct 31;27(44):11842-6.
