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
Email: kknuth-at-albany.edu,
Phone: +1-518-772-4760,
FAX: +1-518-442-5260

Kevin H. Knuth's LinkedIn profile

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Education

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

 

Experience

Associate Professor, Depts. of Physics and Informatics, 2009-Present

University at Albany (SUNY), Albany NY.

President, Autonomous Exploration Inc., 2009-Present
Assistant Professor, Depts. of Physics and Informatics, 2005-2009

University at Albany (SUNY), Albany NY.

Research Scientist GS-14, Intelligent Systems Division, 2001-2005

NASA Ames Research Center, Moffett Field CA.

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.

 

Research Areas

Information Physics

Foundations of physics from the perspective where physical laws represent optimal rules for the processing of information about the physical world

Exoplanet Characterization

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

Cyberphysics

The physics of information-based control

Intelligent Instruments

Design of instruments that decide which measurements to take, given what they are programmed to learn

Brain-Robot Interface

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.