KnuthKevin221

Kevin Knuth

Information Physics, Foundations of Inference and Inquiry, Foundations of Quantum Mechanics, and High-Quality Bayesian Data Analysis applied to Exoplanet Detection and Characterization and Autonomous Exploration in Robotics

The World Within Reach
Kevin H. Knuth
Associate Professor
 

College of Arts and Sciences

Physics / Department of Information Science, College of Engineering and Applied Sciences
Address:
PH 216
Phone:
518-772-4760

 

Education

Ph.D., Physics, Minor in Mathematics, 1995, University of Minnesota, Minneapolis, MN

M.S., Physics, 1990, Montana State University, Bozeman, MT

B.S., Physics and Mathematics, 1988, University of Wisconsin - Oshkosh, Oshkosh, WI

Research Interests

My research is focused on several aspects of Information Physics:
-Foundations of Inference, Quantum Mechanics and Physics
-Inquiry, Relevance and Maximum Entropy
-High-Quality Bayesian Data Analysis

as well as a variety of applications:

-Astrophysics Exoplanet Studies -Bayesian Source Separation
-Cyberphysics and Robotics Autonomous Sensor Placement
-Experimental Design

Publications

1. *Placek B., Knuth K.H., Angerhausen D. 2014. EXONEST: Bayesian model selection applied to the detection and characterization of exoplanets via photometric variations, The Astrophysical Journal (ApJ), in press.

2. Knuth K.H. 2014. Information-based physics: an observer-centric foundation. Contemporary Physics, 55(1), 12-32, (Invited Submission). doi:10.1080/00107514.2013.853426. arXiv:1310.1667 [quant-ph]

3. Knuth K.H. 2014. The problem of motion: the statistical mechanics of Zitterbewegung. Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Amboise, France, Sept 2014, AIP Conference Proceedings, American Institute of Physics, Melville NY.

4. *Walsh J., Knuth K.H. 2014. Information-Based Physics, Influence and Forces. Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Amboise, France, Sept 2014, AIP Conference Proceedings, American Institute of Physics, Melville NY.

5. *Placek B., Knuth K.H. 2014. A Bayesian analysis of HAT-P-7b using the EXONEST algorithm. A. Mohammad-Djafari, F. Barbaresco (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Amboise, France, Sept 2014, AIP Conference Proceedings, American Institute of Physics, Melville NY.

6. *Malakar N.K., *Gladkov D., and Knuth K.H. 2013. Modeling a sensor to improve its efficacy, Journal of Sensors, vol. 2013, Article ID 481054, 11 pages, 2013. doi:10.1155/2013/481054, arXiv:1303.4385 [physics.ins-det]

7. Knuth K.H., Skilling J. 2012. Foundations of Inference. Axioms 1:38-73. (doi:10.3390/axioms1010038)

8. Knuth K.H., *Placek B., *Richards Z. 2012. Detection and characterization of non-transiting extra-solar planets in Kepler data using reflected light variations.  N. Chawla and A.N. Srivastava (eds.) Proceedings of the Conference on Intelligent Data Understanding 2012, IEEE Explore, 31 - 38. (Digital Object Identifier: 10.1109/CIDU.2012.6382198 )

9. Knuth K.H. 2012. Inferences about interactions: Fermions and the Dirac equation. U. von Toussaint (ed.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany, July 2012, AIP Conference Proceedings 1553, American Institute of Physics, Melville NY.

10. *Placek B., *Richards Z., Knuth K.H. 2012. Detecting non-transiting exoplanets.  U. von Toussaint (ed.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Garching, Germany, July 2012, AIP Conference Proceedings 1553, American Institute of Physics, Melville NY, 23-29.

11. *Malakar N.K., Knuth K.H., Lary D.J. 2011. Maximum joint entropy and information-based collaboration of automated learning machines.  P. Goyal and K. H. Knuth (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, Canada, July 2011, AIP Conference Proceedings, American Institute of Physics, Melville NY. arXiv:1111.3421 [stat.ML]

12. Goyal P., Knuth K.H. 2011. Quantum theory and probability theory: their relationship and origin in symmetry, Symmetry 3(2):171-206.

13. *Maunu H.A., Knuth K.H. 2011. Maximum entropy production in Daisyworld.  P. Goyal and K. H. Knuth (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Waterloo, Canada, July 2011, AIP Conference Proceedings, American Institute of Physics, Melville NY.

14. Goyal P., Knuth K.H., Skilling J. 2010. Why quantum theory is complex, Phys. Rev. A 81, 022109. arXiv:0907.0909v3 [quant-ph]

15. Knuth K.H. 2010. Information physics: The new frontier. P. Bessiere, J.-F. Bercher, A. Mohammad-Djafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings 1305, American Institute of Physics, Melville NY, 3-19. arXiv:1009.5161v1 [math-ph]

16. Knuth K.H., *Bahreyni N. 2010. The order-theoretic origin of special relativity. P. Bessiere, J.-F. Bercher, A. Mohammad-Djafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings 1305, American Institute of Physics, Melville NY, 115-121.

17. *Malakar N.K., Knuth K.H. 2010. Entropy-based search algorithm for experimental design. P. Bessiere, J.-F. Bercher, A. Mohammad-Djafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings 1305, American Institute of Physics, Melville NY, 157-164.

18. Center, J.L., Jr., Knuth K.H. 2010. Bayesian visual odometry. P. Bessiere, J.-F. Bercher, A. Mohammad-Djafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings 1305, American Institute of Physics, Melville NY, 75-82.

19 Knuth K.H., Center J.L., Jr.  2010. Autonomous science platforms and question-asking machines, IEEE Xplore, Cognitive Information Processing 2010 (CIP 2010), Island of Elba, Italy, June 2010, 221 - 226. (Digital Object Identifier: 10.1109/CIP.2010.5604217 )