Misha Pavel


Current Appointment

Primary Office
Center for Health and Healing
Mail code: CH13B
3303 SW Bond Avenue, Rm #13043
Portland, OR 97239

Alternate Office
Central Building, Room 108 (West Campus)

B.S., Polytechnic Institute of Brooklyn, 1970
M.S., Stanford University, 1971
Ph.D., New York University, 1980

Research Area
Center for Spoken Language Understanding

Research Interests
I am interested in mathematical modeling, statistical pattern recognition and information fusion in the area of Neural Engineering addressing clinically relevan problems such as gerontechnology. The applications include developing and testing unobtrusive techniques and computing technologies to support healthy aging and chronically ill patients. My expetise include modeling of complex behaviors including visual and auditory signal processing, multimodal communication systems, adaptive systems, and the development of systems with human-like (anthropic) abilities for speech and video communication.

Selected Publications

  • Thomson, Judi, Hetzler, B, MacEachren, A., Gahegan, M, and Pavel, M., A Typology for Visualizing Uncertainty Conference on Visualization and Data Analysis 2005 (part of the IS&T/SPIE Symposium on Electronic Imaging 2005), 16-20 January 2005, San Jose, CA USA (2005).
  • Araujo, C., Kowler, E., Pavel, M. Eye movements during visual search: The cost of choosing the optimal path. Vision Research. (2001)
  • McGee, D. R., Pavel, M. and Cohen, P. R. (2001) "Context shifts: Extending the meanings of physical objects with language" Human Computer Interaction, 16, Context-aware computing. (2001)
  • Syllable intelligibility for temporally filtered LPC cepstral trajectories T. Arai, M. Pavel, H. Hermansky, and C. Avendano:, The Journal of the Acoustical Society of America, 105, 2783-2791, (1999).
  • Probabilistic image sensor fusion. Sharma, R.K., Leen, T.K., and Pavel, M. (1999). In M.S. Kearns, S.A. Solla, and D.A. Cohn (Eds.), Advances in Neural Information Processing Systems 11. Cambridge, MA: MIT Press (1999).
  • Model-Based Sensor Fusion for Aviation, M.Pavel, R.K.Sharma, SPIE Proceedings, Vol. 3088, (April 1997).
  • Exploratory Vision: The Active Eye M. Landy, L.T. Maloney, M. Pavel New York: Springer (1995)
  • Sensor fusion for synthetic vision. Pavel, M., Larimer, J., & Ahumada, A. Society for Information Display, SID 92, 475-478. Society for Information Display, (1992).
  • Engineering a visual system for seeing through fog. Larimer, J., Pavel, M., Ahumada, A., & Sweet, B. 22nd International Conference on Environmental Systems, Vol 921130, . Seattle, Washington. Society for Automotive Engineers, (1992).
  • Representations and models in psychology. Suppes, P., Pavel, M., & Falmagne, J.-C. Annual Review of Psychology, 45, 517-544. (1994)
  • Extrapolation of linear motion. Pavel, M., Cunningham, H., & Stone, V. Vision Research, 32(11), 2177-2186, (1992).
  • Target axis effects under transformed visual/motor mapping. Cunningham, H. A., & Pavel, M. In Ellis, S. R., Kaiser, M. K., and Grunwald A. C. (Eds.), Pictorial Communication in Virtual and Real Environments (pp. 283-294). New York: Taylor and Francis, (1991).
  • Perception of rotation through apertures. Shiffrar, M., & Pavel, M. Journal of Experimental Psychology: Human Perception and Performance, 17, 749-761, (1991).
  • The visible persistence of stimuli in stroboscopic motion. Farrell, J. E., Pavel, M., & Sperling, G. Vision Research, 30,921-936, (1990).
  • Predictive control of eye movement. Pavel, M. In Kowler, E. (Eds.), Eye Movements and Their Role in Visual and Cognitive Processes (pp. 71-114). Amsterdam: Elsvier,(1990).
  • Constraints on adaptive networks for modeling human generalization. Pavel, M., Gluck, M. A., & Henkle, V. In Touretzky, D. S. (Eds.), Advances In Neural Network Information Processing Systems (pp. 2-10). Los Altos, Ca: Morgan Kaufmann, (1989).

Current Projects
  • Early detection of Cognitive Decline
    • (2004) Jimison, H.B., Pavel, M., McKanna, J., Pavel, J. Unobtrusive Monitoring of Computer Interactions to Detect Cognitive Status in Elders, IEEE Transactions on Information Technology in Biomedicine, Vol. 8, No. 3, September 2004, pp. 248-252.
    • (2003) Hayes TL, Pavel M., Schallau PK, Adami AM. Unobtrusive Monitoring of Health Status in an Aging Population. 5th International Conference on Ubiquitous Computing, October 12-15, 2003; Seattle, WA
  • Data Fusion for Unobtrusive assessment of mobility, Oregon Roybal Center for Translational Research on Aging
  • Augmented Cognition
    • (2003) Pavel, M, Wang, G., Li, K., Kehai Li, Augmented cognition: Allocation of attention, Proceedings of 36th Hawaii International Conference on System Sciences January 6-9, 2003, Big Island, HI, USA. IEEE Computer Society, 2003, ISBN 0-7695-1874-5
  • Assessment of Sleep Patterns
    • (2003) Adami, A. M., Hayes, T. L. and Pavel, M, Unobtrusive Monitoring of Sleep Patterns, 25th Annual International Conference of the IEEE Engineering In Medicine And Biology Society, 17-21 September, 2003; Cancun, Mexico.
  • Implementation of Patient-Centered Medication Information System
  • Novel Computer-based Techniques for the Assessment of ADHD
  • Information Fusion based on high-Diminesional Representation
    • (2004) Song, X, Pavel, M., Performance Advantage of Combined Classifiers in Multi-category Cases: An Analysis. In Nikhil R. Pal, Nikola Kasabov, Rajani K. Mudi, Srimanta Pal, Swapan K. Parui (Eds.): Neural Information Processing, 11th International Conference, ICONIP 2004, Calcutta, India, November 22-25, 2004, Proceedings. Lecture Notes in Computer Science 3316 Springer 2004, ISBN 3-540-23931-6 750-757.
    • (2003) G. Wang, M. Pavel, X. Song, "Robust Recognition Based on Combination of Weak Classifiers," International Joint Conference of Neural Networks, July 2003.

Related Websites
Layton Aging & Alzheimer's Disease Center