Kevin H. Knuth, Ph.D.
Department of Physics
College of Arts and Sciences
College of Computing and Information
University at Albany
Albany NY 12222

kknuth @ albany.edu
Phone: +1-518-442-4653

Please visit my Laboratory at SUNY Albany
http://knuthlab.rit.albany.edu

Or my blog: Online Cortex

Kevin at Gullfoss in Iceland
  

News...


MaxEnt 2007, Saratoga Springs NY USA, July 8-13, 2007
27th International Workshop on Bayesian Inference and Maximum Entropy Methods in Science and Engineering

Call for Papers for:
Digital Signal Processing Special Issue on Bayesian Source Separation
Guest Editors: Ercan Kuruoglu and Kevin H. Knuth
Call for Papers (pdf)
Submission Deadline: 26 June 2006

My research mainly consists of designing automated machine learning systems for data analysis. In the last few years my focus has been to derive the algebra and calculus of questions, which leads naturally to a generalization of information theory.

I am interested in both applications:

  • intelligent instruments
  • information-theoretic analysis of earth climate data
  • modeling planetary nebula [details]
  • Bayesian source estimation of mixed signals [details]
  • estimation of evoked responses in EEG signals

and the theoretical foundations of the approaches I employ:

  • probability theory
  • order theory (lattice theory)
  • nonlinear dynamics
  • differential geometry

 

Selected Publications

Knuth K.H., Shah A.S., Truccolo W., Ding M., Bressler S.L., Schroeder C.E. 2006. Differentially Variable Component Analysis (dVCA): Identifying Multiple Evoked Components using Trial-to-Trial Variability. In press: J Neurophysiol.

Wheeler K.R., Chang M.H., and Knuth K.H. 2006. Gesture based control and EMG decomposition. In press: IEEE Trans Sys, Man, and Cybernetics.

Lakatos P., Shah A.S., Knuth K.H., Ulbert I., Karmos G., Schroeder C.E. 2005. An oscillatory hierarchy controlling neuronal excitability and stimulus processing in the auditory cortex. J Neurophysiol. 94(3):1904-11.

Knuth K.H. 2005. Lattice duality: The origin of probability and entropy. Neurocomputing. 67C: 245-274. DOI: 10.1016/j.neucom.2004.11.039

Shah A.S., Bressler S.L., Knuth K.H., Ding M., Mehta A.D., Ulbert I., Schroeder C.E. 2004. Neural dynamics and the fundamental mechanisms of event-related brain potentials. Cereb Cortex. 14(5):476-83.

Knuth K.H. 2003. Intelligent machines in the 21st century: Automating the processes of inference and inquiry. Phil. Trans. Roy. Soc. Lond. A, Millennium Issue. 361(1813):2859-73.

Truccolo W.A., Knuth K.H., Shah A.S., Bressler S.L., Schroeder C.E., and Ding M. 2003. Estimation of single-trial multi-component ERPs: Differentially variable component analysis. Biol. Cybern. 89(6): 426-38.

Knuth K.H. 2002. What is a question? In: C. Williams (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Moscow ID 2002, AIP Conference Proceedings 659, American Institute of Physics, Melville NY, pp. 227-242.

Hajian, A.R. and Knuth, K.H. 2001. Three-dimensional morphologies of planetary nebulae. In: A. Mohammad-Djafari (ed.), Bayesian Inference and Maximum Entropy Methods in Science and Engineering, Paris 2000, AIP Conference Proceedings 568, American Institute of Physics, Melville NY, pp. 569-578.

Gardner D., Abato M., Knuth K.H., DeBellis R., and Erde S.M. 2001. Dynamic publication model for neurophysiology databases. (Invited submission) Phil. Trans. Roy. Soc. Lond. B Biol. Sci. 356(1412):1229-1247.

Knuth K.H. 1999. A Bayesian approach to source separation. In: J.-F. Cardoso, C. Jutten and P. Loubaton (eds.), Proceedings of the First International Workshop on Independent Component Analysis and Signal Separation: ICA'99, Aussois, France, Jan. 1999, pp. 283-288.

 

Last Updated: 23 February 2006