Prof. Kevin H. Knuth in the
Flight Director's Chair at NASA's Apollo
Mission Operation Control Room 2 (MOCR 2)
Prof. Kevin H. Knuth, Ph.D.
Associate Professor of Physics and Informatics
University at Albany (SUNY)
Director, Knuth Information Physics Laboratory
Director, Knuth Cyberphysics Laboratory
President, Autonomous Exploration Inc.
Editor-in-Chief of the journal Entropy
Knuth Information Physics Laboratory, Physics 228
University at Albany (SUNY), 1400 Washington Avenue, Albany NY 12222, USA
B.S. Physics 1988, University of Wisconsin - Oshkosh
M.S. Physics 1990, Montana State University
Ph.D. Physics (Minor Mathematics) 1995, University of Minnesota
Santa Fe Institute Complex Systems Summer School, 1995
Associate Professor, Depts. of Physics and Informatics, 2009-Present
President, Autonomous Exploration Inc., 2009-Present
Assistant Professor, Depts. of Physics and Informatics, 2005-2009
Research Scientist GS-14, Intelligent Systems Division, 2001-2005
Research Scientist III, Center for Advanced Brain Imaging, 1999-2001.
Instructor, Department of Physiology and Biophysics, 1999-2000.
Instructor, Departments of Otolaryngology and Neuroscience, 1998-1999.
Current Research Areas
Foundations of physics from the perspective where physical laws represent optimal rules for the processing of information about the physical world
Development of the EXONEST Exoplanetary Explorer which uses advanced Bayesian Data Analysis methods to detect and characterize exoplanets
Foundations of Inference and Inquiry
Developed an order-theoretic foundation of probability theory as well as a theory of inquiry
Past Research Areas
The physics of information-based control
Design of instruments that decide which measurements to take, given what they are programmed to learn
Extension of brain-computer interface to the physical realm
Source Separation of Mixed Signals
Bayesian source separation, identification of evoked brain responses (EEG and MEG), Spectral decomposition and astrobiochemistry
Information Processing in the Brain
Dynamics of neural ensembles, oscillatory processes, evoked responses (ERPs), hierarchical (or heterarchical) organization
Identification of Relevant Causal Interactions
Information theory and transfer entropy, application to large-scale Earth climate data sets.