Physics Faculty

• Complex Systems Summer School, Santa Fe Institute (1996)
  
• Ph.D. Physics, (Minor Mathematics) University of Minnesota (1995)
  
• M.S. Physics, Montana State University (1990)
  
• B.S. Physics and Mathematics, University of Wisconsin – Oshkosh (1988)
  

• Associate Professor, Departments of Physics and Informatics, University at Albany, Albany NY (2009-Present)
  
• Assistant Professor, Departments of Physics and Informatics, University at Albany, Albany NY (2005-2009)
  
• Research Scientist GS-14, Intelligent Systems Division, NASA Ames Research Center, Moffett Field CA. (2001-2005)
  
• Research Scientist III, Center for Advanced Brain Imaging, Nathan Kline Institute for Psychiatric Research, Orangeburg NY (1999-2001)
  
• Instructor, Department of Physiology and Biophysics, Cornell University Medical Center, New York NY (1999-2000)
  
• Instructor, Departments of Otolaryngology and Neuroscience, Albert Einstein College of Medicine, Bronx NY (1998-1999)
  
• Adjunct Assistant Professor, Speech and Hearing Sciences, Graduate School of the City University of New York, New York NY (1997-1998).
  

• Foundations of Inference, Quantum Mechanics and Physics
  
• Inquiry, Relevance and Maximum Entropy
  
• High-Quality Bayesian Data Analysis
  

• Astrophysics
  
  • Exoplanet Studies
    
  • Characterization of Interstellar Organic Molecules
    
• Bayesian Source Separation
  
• Cyberphysics and Robotics
  

• Member of the Board of Directors of the Dudley Observatory (2014 – Present)
  
• Editor-in-Chief of Entropy (MDPI) (2012 – Present)
  
• Editorial Board of Entropy (MDPI) (2010 – Present)
  
• Editorial Board of Axioms (MDPI) (2011 – Present)
  
• Sub-Committee Member of Journal on Advances in Signal Processing (JASP) Best Paper Award (2008 – Present)
  
• President and Co-Founder of Autonomous Exploration, Inc., which is a for-profit corporation focused on developing robotic autonomy (2008 – Present)
  
• Advisory Committee for the International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering (MaxEnt) (1999 – Present)
  

• Third Place in the Foundational Questions Institute (FQXi 2013) Essay Contest
  
• Invited to Foundational Questions Institute (FQXi) Membership (2013)
  
• Elected Senior Member of IEEE (2008)
  

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

• *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:10.1088/0004-637X/795/2/112, arXiv:1310.6764 [astro-ph.EP]

• 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]

• 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 [quant-ph]

• *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. arXiv:1411.2163 [quant-ph]

• *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. arXiv:1409.4152 [astro-ph.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.ins-det]

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

• 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 )

• 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 [quant-ph]

• *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.

• Goyal P., Knuth K.H. 2011. Quantum theory and probability theory: their relationship and origin in symmetry, Symmetry 3(2):171-206. doi: 10.3390/sym3020171

• *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]

• *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 [quant-ph]

• 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]

• 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 trial-to-trial variability. Journal of Neurophysiology, 95: 3257-3276. 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):503-514. doi: 10.1109/TSMCC.2006.875418

• Knuth K.H. 2005. Lattice duality: The origin of probability and entropy. Neurocomputing. 67C: 245-274. 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):2859-73. doi: 10.1098/rsta.2003.1268

* Indicates a student under my advisement