Graduated PhD Students Supervised by R.M. Gray
With most recent known position.
  1. Dr. Barry Leiner, "Rate distortion theory for sources with side information," September 1973, RIACS. Deceased.
  2. Professor David Neuhoff, "Source coding and distance measures on random processes," August 1974, University of Michigan
  3. Professor William Pearlman, "Source coding of the discrete Fourier transform," June 1974 RPI
  4. Professor James Dunham, Southern Methodist University "Joint source and noisy channel trellis encoding," June 1978
  5. Dr. Yoseph Linde, "The design of tree and trellis data compression systems," 1978, Jeruselem Ventures
  6. Professor Yasuo Matsuyama, "Process distortion measures and signal processing," 1978, Waseda University, Japan.
  7. Professor Andres Buzo, "Optimal vector quantization for linear predicted coded speech," September 1978, National Autonomous University of Mexico
  8. Dr. Robert Fontana, "A class of composite sources and their ergodic and information theoretic properties," September 1978, Consultant
  9. Dr. Guillermo Rebolledo, "Speech and waveform coding based on vector quantization," December 1981, Kb/TEL Tlecomunicaciones, Mexico
  10. Dr. Larry Stewart, "Trellis data compression," June 1981, formerly Digital Equipment Corporation
  11. Dr. Farivar Saadat, "Block source coding theory for asymptotically mean stationary sources," June 1983. Deceased.
  12. Dr. Chieh Tsao, "Matrix quantization of LPC speech using the generalized Lloyd algorithm," July 1985, deceased
  13. Professor John Foster, "Finite-state vector quantization for waveform coding," December 1982, Tuskeegee University.
  14. Dr. Michael Sabin, "Global convergence and empirical consistency of the generalized Lloyd algorithm," June 1984, Cylink, Inc.
  15. Professor Mari Ostendorf (Dunham), "Finite-state vector quantization for low rate speech coding," March 1985. University of Washington
  16. Dr. Tom Flynn, "Quantizer design for distributed sensing," March 1985. Sandia
  17. Prof. Pao Chi Chang, "Predictive, hierarchical, and transform vector quantization for speech coding," June 1986, National Central University, Taiwan
  18. Prof. Ender Ayanoglu, "Trellis encoding for sources and channels," September 1986, University of California at Irvine
  19. Dr. Phil Chou, "Applications of information theory to pattern recognition and the design of decision trees and trellises," June 1988. Microsoft Research Inc.
  20. Dr. Shan-Shan Huang, "Spellmode recognition based on vector quantization," March 1987, DSP Inc.
  21. Professor Tom Lookabaugh, "Variable rate and adaptive frequency domain vector quantization of speech," June 1988, University of Colorado
  22. Dr. Rich Baker, "Vector quantization of digital images," September 1983. startup (formerly Picturetel, Inc.)
  23. Dr. Ping-Wah Wong, "Oversampled sigma-delta modulation: Analysis and applications," June 1989, HP Research Labs
  24. Professor Eve Riskin, "Variable rate vector quantization of images," June 1990. University of Washington, Seattle
  25. Dr. Wu Chou, "Theory and analysis of oversampled analog-to-digital conversion," June 1990, Avaya Labs
  26. Professor Sang Ju Park, "Topics in analog-to-digital conversion," September 1991, Hong Ik University, Seoul, Korea
  27. Dr. Karen Oehler, "Image compression and classification using vector quantization," September 1993, TI, Dallas
  28. Prof. Pamela Cosman, "Perceptual aspects of vector quantization," June 1993, University of California, San Diego
  29. Prof. Michelle Effros, "Universal and adaptive source coding: theory and practice," Prof, EE, Cal Tech, 1994
  30. Prof. Sheila Hemami, "Reconstruction of compressed images and video for lossy packet networks," December 1994, Cornell University
  31. Dr. Sharon Perlmutter, "Image compression using vector quantization: algorithms and quality evaluation," December 1995. AOL
  32. Dr. Keren Perlmutter, "Compression and classification of images using vector quantization and decision trees," December 1995. AOL
  33. Dr. Rick Vander Kam, "Lossy data compression methods for halftoned and printed images," December 1995. Polycom Inc.
  34. Dr. Earl Levine, "Stochastic vector quantization using neural networks," June 1996, Voicestream
  35. Dr. Barry Andrews, "Quantization and motion compensation for image and video compression," September 1995 8x8
  36. Professor Jia Li, "Image classification and compression based on a two dimensional multiresolution hidden Markov model," June 1998, Statistics Dept, Penn State University
  37. Dr. Bradley J. Betts, "A statistical analysis of digital mammography," December 1999, NASA-Ames.
  38. Dr. Sanjeev Mehrotra, "Multiple description coding using overcomplete linear expansions," June 1999, Microsoft
  39. Dr. Amir Najmi, "Data compression, model selection and statistical inference," December 1999, Oracle
  40. Dr. Ken K. Lin, "Wavelet video coding with dependent optimization," June 2001, Apple
  41. Dr. Anuradha Aiyer, "Robust image compression using Gauss mixture models," June 2001, Analogic, Boston, Mass.
  42. Dr. Xin Tong, "Compression and rendering of light fields," June 2002, Video Engineer, Apple.
  43. Dr. Remco Teunen, "Acoustic Modeling For Automatic Speech Recognition:Deriving Discriminative Gaussian Networks," August 2002, Research Scientist, Toshiba Corporate Research and Development Center.
  44. Dr. John C. Young, "Clustered Gauss mixture models for image retrieval," March 2003, TSMC (Taiwan Semiconductor Manufacturing Company).
  45. Prof. Maya Gupta, "An information theory approach to supervised learning," March 2003, Assistant Professor, University of Washington.
  46. Dr. Kyunsuk Pyun, "Classification and Segmentation of Images using Hidden Markov Gauss Mixture Models," June 2003, Member of the Technical Staff, Hewlett-Packard
  47. Dr. Vincent Vanhouke, "Mixtures of inverse covariances: covariance modeling for Gaussian mixtures with applications to automatic speech recognition," December 2003. Research Architect, Riya.
  48. Dr. Sangoh Jeong, "Category-adaptive color image retrieval based on Lloyd-clustered Gauss Mixtures," June 2006, Senior Engineer, Samsung Information Systems America.
  49. Dr. Deirdre Bernadette O'Brien Robinson, "Cost-sensitive performance of probability estimation-based classifiers: analysis and practice," June 2006, Quantitative Analyst, Google.
  50. Dr. Kivanc Ozonat, December 2006, Research Scientist, HP Labs.