
Associate Professor, Departments of Physics and Informatics, University at Albany, Albany NY (2009Present)

Assistant Professor, Departments of Physics and Informatics, University at Albany, Albany NY (20052009)

Research Scientist GS14, Intelligent Systems Division, NASA Ames Research Center, Moffett Field CA. (20012005)

Research Scientist III, Center for Advanced Brain Imaging, Nathan Kline Institute for Psychiatric Research, Orangeburg NY (19992001)

Instructor, Department of Physiology and Biophysics, Cornell University Medical Center, New York NY (19992000)

Instructor, Departments of Otolaryngology and Neuroscience, Albert Einstein College of Medicine, Bronx NY (19981999)

Adjunct Assistant Professor, Speech and Hearing Sciences, Graduate School of the City University of New York, New York NY (19971998).


Knuth K.H., *Bahreyni N. 2014. A potential foundation for emergent spacetime, Journal of Mathematical Physics, 55, 112501. http://dx.doi.org/10.1063/1.4899081, arXiv:1209.0881
[mathph]

*Placek B., Knuth K.H., Angerhausen D. 2014. EXONEST: Bayesian model selection applied to the detection and characterization of exoplanets via
photometric variations, Astrophysical Journal, 795(2): 112.doi:10.1088/0004637X/795/2/112, arXiv:1310.6764 [astroph.EP]

Knuth K.H. 2014. Informationbased physics: an observercentric foundation. Contemporary Physics, 55(1), 1232, (Invited Submission).
doi:10.1080/00107514.2013.853426. arXiv:1310.1667 [quantph]

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. arXiv:1411.1854 [quantph]

*Walsh J., Knuth K.H. 2014. InformationBased 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. arXiv:1411.2163 [quantph]

*Placek B., Knuth K.H. 2014. A Bayesian analysis of HATP7b using the EXONEST algorithm. A. MohammadDjafari, 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. arXiv:1409.4152 [astroph.EP]

*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.insdet]

Knuth K.H., Skilling J. 2012. Foundations of Inference. Axioms 1:3873. (doi: 10.3390/axioms1010038)

Knuth K.H., *Placek B., *Richards Z. 2012. Detection and characterization of nontransiting extrasolar 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 )

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. arXiv:1212.2332 [quantph]

*Placek B., *Richards Z., Knuth K.H. 2012. Detecting nontransiting 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, 2329.

Goyal P., Knuth K.H. 2011. Quantum theory and probability theory: their relationship and origin in symmetry, Symmetry 3(2):171206. doi: 10.3390/sym3020171

*Malakar N.K., Knuth K.H., Lary D.J. 2011. Maximum joint entropy and informationbased 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]

*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.

Goyal P., Knuth K.H., Skilling J. 2010. Why quantum theory is complex, Physical Review A 81, 022109. arXiv:0907.0909v3 [quantph]

Knuth K.H. 2010. Information physics: The new frontier. P. Bessiere, J.F. Bercher, A. MohammadDjafari (eds.) Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Chamonix, France, 2010, AIP Conference Proceedings 1305,
American Institute of Physics, Melville NY, 319. arXiv:1009.5161v1 [mathph]

Knuth K.H., Shah A.S., Truccolo W.A., Bressler S.L., Ding M, Schroeder C.E. 2006. Differentially variable component analysis (dVCA): Identifying
multiple evoked components using trialtotrial variability. Journal of Neurophysiology, 95: 32573276. doi: 10.1152/jn.00663.2005

Wheeler K.R., *Chang M.H., and Knuth K.H. 2006. Gesture based control and EMG decomposition.IEEE Transactions on Systems, Man, and Cybernetics, Part C, 36(4):503514. doi: 10.1109/TSMCC.2006.875418

Knuth K.H. 2005. Lattice duality: The origin of probability and entropy. Neurocomputing. 67C: 245274. doi: 10.1016/j.neucom.2004.11.039

Knuth K.H. 2003. Intelligent machines in the 21^{st} century: Automating the processes of inference and inquiry.Philosophical Transactions of the Royal Society of London A, Triennial Issue. 361(1813):285973. doi: 10.1098/rsta.2003.1268
* Indicates a student under my advisement
