CURRICULUM VITA

Education
1961-1963: Columbia University, New York, NY
1963-1965: University of Illinois, Urbana, IL
     B.A. in English Literature (June 1965)
1966-1970: Northwestern University, Evanston, IL
     Ph.D. in Mathematics (June 1970)
     Supervisor: Michael Marcus
     Dissertation title: "Horizontal-window conditioning and the zeros of stationary processes"

Professional Experience
Johns Hopkins University, Department of Applied Mathematics and Statistics
     Professor, 2001-present
University of Massachusetts, Department of Mathematics and Statistics
     Assistant and Associate Professor, 1970-1980
     Professor and Distinguished Professor, 1981-2001

Visiting Positions

• Department of Statistics, University of North Carolina, Chapel Hill, Fall, 1976 - Spring, 1977.
• Division of Applied Mathematics, Brown University, Providence, R.I., Spring, 1984.
• Departement de Mathematique, Universite de Paris-Sud, Orsay, France, May-June, 1986.
• Universite Clermont-Ferrand, Ecole d'Ete de Probabilite de Saint-Flour, France, August-September, 1988.
• Division of Applied Mathematics, Brown University, Providence, R.I., 1991 - 1993.
• Forschungsinstitut fur Mathematik, ETH, Zurich, Switzerland, May-July, 1993.
• Newton Institute for Mathematical Sciences, Cambridge, England, August, 1993.
• Departement de Physique, Universite de Cergy, Cergy-Pontoise, France, June, 1996.
• Institut National de Recherche en Informatique et en Automatique (INRIA), Paris, France, periodic visits, 1990-present.
• Departement de Mathematiques Appliquees, Ecole Polytechnique, Palaiseau, France, September-November, 1997-99.
• Department of Statistics, University of Chicago, April-May, 2000.
• Centre de Mathematiques et Leurs Applications, ENS-Cachan, France, June, 1997; 1999-2000; Spring, 2001, 2002, 2003.

Honors

• ISI Highly Cited Researcher List (Top 100 in Engineering)
• "Distinguished University Professor" at the University of Massachusetts
• Fellow, Institute of Mathematical Statistics
• Plenary or Keynote Speaker (last ten years): RFIA, Paris 1994; IEEE-IMS Meeting, Alexandria, VA, 1994; Annual CSNA Meeting, Amherst, MA, 1996; ICIP, Lausanne, Switzerland, 1996; Annual NESS Meeting, Univ.of Connecticut, 1999; Annual French Statistical Society Meeting, Nantes, France, 2001; Biannual EMMCVPR, Sophia Antipolis, France, 2001; MAA Meeting, Baltimore, MD, 2003; ACIVS, Brussels, Belgium, 2004.

Professional Societies

• Institute of Mathematical Statistics 
• Institute of Electrical and Electronics Engineers
• American Mathematical Society

Recent Lectures

• Ninth Conference on "Pattern Recognition and Artificial Intelligence" (RFIA '94), Paris, January 11-14, 1994. (Plenary Speaker)
• IEEE-IMS "Information Theory and Statistics Workshop," Alexandria, VA., October 27-29, 1994. (Plenary Speaker)
• Seminaire "Mathematiques et Imagerie," ENS Cachan, March 29, 1995.
• Workshop on "Mathematical Methods in Computer Vision," Geometry Center, Univ. of Minnesota, September 11-15, 1995.
• Workshop on "Spatial Statistics, Image Analysis and Stochastic Geometry," CWI, Amsterdam, November 9-11, 1995.
• 24th Annual Dutch Conference on "Probability Theory and Mathematical Statistics," Lunteren, Netherlands, November 13-15, 1995. (Lecture Series)
• University de Cergy, Department Sciences de l'Information, "Shape Quantization and Recognition,'' June, 1996. (Lecture Series)
• Annual meeting: "Classification Society of North America,''Amherst, MA., June 14-15, 1996. (Plenary Speaker)
• IEEE International Conference on Image Processing ("ICIP-96''), Lausanne, Switzerland, Sept. 16-19, 1996. (Plenary Speaker)
• Second Seminar on "Stochastic Analysis, Random Fields and Applications,'' Monte Verita, Ascona, Switzerland, September 16-21, 1996.
• "Object Recognition and Sequential Testing'' (Lecture Series), Ecole Normale Superieure de Cachan, June, 1997.
• NATO ASI Symposium on "Face Recognition: From Theory to Applications", Stirling, UK, June 23-July 4, 1997.
• Workshop on "Machine Learning and Computer Vision,'' Newton Institute for Mathematical Sciences, Cambridge, England, Oct. 6-10, 1997.
• 1998 Lukacs Symposium on "Statistics for the 21'st Century,'' Bowling Green University, April 24-26, 1998.
• Annual SPIE Meeting, Session on "Bayesian Inference for Inverse Problems,'' San Diego, July 19-24, 1998.
• Symposium on "Questions Mathematiques en Traitement du Signal et de l'Image,'' Institut Henri Poincare, December, 1998.
• CIRM Conference on "Information Theory, Statistics and Image Analysis,'' Luminy, France, December 7-11, 1998.
• "Birck Distinguished Lecture,'' School of Electrical and Computer Engineering, Purdue University, March 29, 1999.
• The Thirteenth New England Statistics Symposium, University of Connecticut, April 24, 1999. (Plenary Speaker).
• CVPR Workshop on "Statistical and Computational Theories of Vision,'' Fort Collins, CO, June 22, 1999.
• Euroconference on "Computer Vision and Speech Recognition: Statistical Foundations and Applications,'' Anogia, Crete, July 4-8, 1999.
• Colloquium on Signal and Image Processing, Ecole Polytechnique, November 22, 1999.
• Summer Seminar Series, Center for Language and Speech Processing, Johns Hopkins University, August 2, 2000.
• IMA Workshop: "Image Analysis and High Level Vision,'' Institute of Mathematics and its Applications, Minneapolis, November 13, 2000.
• MSRI Workshop: "Nonlinear Estimation and Classification,''Mathematical Sciences Research Institute, Berkeley, March 26, 2001.
• XXXIII Journees de Statistique (Annual Meeting, French Statistical Society), Nantes, France, May 14, 2001 (Keynote Address)
• International Workshop on "Energy Minimization Methods in Computer Vision and Pattern Recognition,'' Sophia Antipolis, France, Sept. 5, 2001 (Plenary Speaker)
• SIAM 50th Anniversary and 2002 Annual Meeting, Minitutorial: "Statistical Methods and Learning in Computer Vision,'' Philadelphia, July 9, 2002.
• "Distinguished Seminar Series on Vision,'' University of Maryland, Oct. 16, 2002.
• SIAM Minisymposium on "Mathematical Problems in Image Analysis,''Joint Mathematics Meetings, Baltimore, MD, Jan. 16, 2003.
• EURANDOM Workshop on "Statistical Learning in Classification and Model Selection'', Eindhoven, Netherlands, Jan. 18, 2003.
• DIMACS Workshop on "Complexity and Inference'', Rutgers University, N.J., June 3, 2003.
• "Mathematics Day'', Institute of Mathematics, Academia Sinica, Taipei, Taiwan, September 3, 2003.
• Computational Sciences Lecture Series: "Computational Vision and Image Analysis,'' University of Wisconsin, Madison, WI, October 30, 2003.
• Meeting of the Mathematical Association of America, Baltimore, MD, Nov. 7-8, 2003 (Invited Speaker).
• Advanced Concepts for Intelligent Vision Systems, ACIVS04, Brussels, Belgium, Aug.31 - Sept. 3, 2004 (Plenary Speaker)

Doctoral Students

• Carmen Acuna, "Parameter estimation for stochastic texture models," Univ. of Mass., 1988.
• Chengda Yang, "Stochastic methods for image restoration," Univ. of Mass., 1991.
• Keith Hartt, "Bayesian estimation of surface information from radar images," Univ. of Mass., 1993.
• Bruno Jedynak, "Stochastic models and deterministic methods for finding roads in remotely-sensed images," Univ. de Paris - Sud, 1995.
• Decheng Wang, "Stochastic modeling of magnetic resonance images with applications to tissue classification," Univ. of Mass., 1996.
• Kenneth Wilder, "Decision tree algorithms for handwritten digit recognition," Univ. of Mass., 1998.
• Chunming Li, "Classification by active testing with applications to imaging and change detection," Univ. of Mass., 1998.
• Francois Fleuret, "Hierarchical face detection by statistical learning," Univ. de Paris VI, 2000.
• Alexey Koloydenko, Univ. of Mass., "Modeling natural microimage statistics," Univ. of Mass., 2000.
• Franck Jung, "Reconnaissance d'objects par focalisation et detection de changements," Ecole Polytechnique, 2001.
• Hichem Sahbi, "Support vector machines for hierarchical face detection," Universite de Versailles, 2003.
• Christian d'Avignon, "Applying machine learning to biomedical data: the small-sample and interpretability dilemmas," Johns Hopkins University, 2004.
• Samuel Krempp, Ecole Normale Superieure - Cachan, in progress
• Xiaodong Fan, Johns Hopkins University, in progress
• Sachin Gangaputra, Johns Hopkins University, in progress

Publications

1. D. Geman, "On the variance of the number of zeros of a stationary Gaussian process,'' Ann. Math. Stat., 43, 977-982, 1972.
2. D. Geman and J. Horowitz, "Occupation times for smooth stationary processes,'' Ann. of Probability, 1, 131-137, 1973.
3. D. Geman and J. Horowitz, "Remarks on Palm measures,'' Ann. Inst. H. Poincare, IX, 215-232, 1973.
4. D. Geman, "A note on the distribution of hitting times,'' Ann. of Probability, 1, 854-856, 1973.
5. D. Geman and J. Horowitz, "Local times and supermartingales,'' Z. Wahrscheinlichkeitstheorie verw. Geb.
6. D. Geman and J. Horowitz, "Transformations of flows by discrete random measures,'' Indiana Univ. Math. J., 24, 291-306, 1974.
7. D. Geman and J. Horowitz, "Random shifts which preserve measure,'' Proc. Amer. Math. Soc., 49, 143-150, 1975.
8. D. Geman and J. Horowitz, "Polar sets and Palm measures in the theory of flows,'' Trans. Amer. Math. Soc., 208, 141-159, 1975.
9. D. Geman, J. Horowitz and J. Zinn, "Recurrence of stationary sequences,'' Ann. of Probability, 4, 372-381, 1976.
10. D. Geman and J. Horowitz, "Occupation times for functions with countable level sets and the regeneration of stationary sequences,'' Z. Wahrscheinlichkeitstheorie verw. Geb., 35, 189-211, 1976.
11. D. Geman and J. Horowitz, "Local times for real and random functions,'' Duke Math. J., 43, 809-828, 1976.
12. D. Geman, "A note on the continuity of local times,'' Proc. Amer. Math. Soc., 57, 321-326, 1976.
13. D. Geman, "On the approximate local growth of multi-dimensional random fields,'' Z. Wahrscheinlichkeitstheorie verw. Geb., 38, 237-251, 1977.
14. D. Geman, "Local times for vector functions: energy integrals and local growth rates,'' Houston J. Math., 3, 195-206, 1977.
15. D. Geman and J. Zinn, "On the increments of multi-dimensional random fields,'' Ann. of Probability, 6, 151-158, 1978.
16. D. Geman, "Dispersion points for linear sets and approximate moduli for some stochastic processes,'' Trans. Amer. Math. Soc., 253, 257-272, 1979.
17. D. Geman and J. Horowitz, "Occupation densities,'' Ann. of Probability ("Special Invited Paper''), 8, 1-67, 1980.
18. D. Geman and J. Horowitz, "Smooth perturbations of a function with a smooth local time,'' Trans. Amer. Math. Soc., 267, 517-530, 1981.
19. D. Geman and S. Geman, "Parameter estimation for some Markov random fields,'' Reports on Pattern Analysis, No. 11, Div. of Appl. Math., Brown University, 1983.
20. D. Geman,"Parameter estimation for Markov random fields with hidden variables and experiments with the EM algorithm,'' Reports on Pattern Analysis, No. 21, Div. of Appl. Math., Brown University, 1984.
21. D. Geman, J. Horowitz and J. Rosen, "A local time analysis of the intersections of Brownian paths in the plane,'' Ann. of Probability, 12, 86-107, 1984.
22. H. Derin, H. Elliott, R. Christi and D. Geman, "Bayes smoothing algorithms for segmentation of images modeled by Markov random fields,'' IEEE Trans. Pattern Anal. Mach. Intell., 6, 707-721, 1984.
23. S. Geman and D. Geman, "Stochastic relaxation, Gibbs distributions, and the Bayesian restoration of images,'' IEEE Trans. Pattern Anal. Mach. Intell., 6, 721-741, 1984.
24. D. Geman, "Bayesian image analysis by adaptive annealing,'' Proc. IGARSS '85, 1, 269-276, 1985.
25. H. Derin, H. Elliott, R. Christi and D. Geman, "Application of the Gibbs distribution to image segmentation,'' Statistical Image Processing and Graphics, Marcel-Dekker, 3-24, 1986.
26. D. Geman and S. Geman, "Bayesian image analysis,'' Disordered Systems and Biological Organization, eds. E. Bienenstock, F. Fogelman, and G. Weisbuch, NATO ASI Series, Vol. F20, Springer-Verlag, Berlin, 1986.
27. D. Geman, "A stochastic model for boundary detection,'' Image and Vision Computing, 5, 61-65, 1987.
28. D. Geman and S. Geman, "Relaxation and annealing with constraints,'' Complex Systems Technical Report No. 35, Div. of Appl. Math., Brown University, 1987.
29. D. Geman, S. Geman and C. Graffigne, "Locating object and texture boundaries,'' Pattern Recognition Theory and Applications, eds. P. Devijver and J. Kittler, NATO ASI Series, Vol. F30,Springer-Verlag, Berlin,1987.
30. D. Geman, S. Geman, C. Graffigne, and P. Dong, "Boundary detection by constrained optimization,'' IEEE Trans. Pattern Anal. Mach. Intell., 12, 609-628, 1990.
31. D. Geman, "Random Fields and Inverse Problems in Imaging,'' Lecture Notes in Mathematics, No. 1427, Springer-Verlag, 113-193, 1990.
32. Remarks on hard modeling vs. image processing, circumstellar disks, and model validation,'' Restoration of HST Images and Spectra, Space Telescope Science Institute, 74-79, 1990.
33. D. Geman and B. Jedynak, "Detection of roads in SPOT satellite images,'' Proc. IGARSS '91, Helsinski, Finland, June 1991.
34. D. Geman and B. Gidas, "Image Analysis and Computer Vision,'' Spatial Statistics and Image Processing, National Research Council, National Academy Press, Washington, DC, 9-37, 1991.
35. P. Dupuis, D. Geman, J. Horowitz, and G. Reynolds, "Statistical inference on the shape of circumstellar disks from HST observations,'' Technical Report, Dept. of Mathematics, Univ. of Massachusetts, 1991.
36. S. Geman, D.E. McClure and D. Geman, "A nonlinear filter for film restoration and other problems in image processing,'' CVGIP: Graphical Models and Image Proc., 54, 281-289, 1992.
37. D. Geman and G. Reynolds, "Constrained restoration and the recovery of discontinuities,'' IEEE Trans. Pattern Anal. Mach. Intell., 14, 367-383, 1992.
38. D. Geman, G. Reynolds and C. Yang, "Stochastic algorithms for restricted image spaces and experiments in deblurring,'' Markov Random Fields Theory and Applications, eds. R. Chellappa, A. Jain, Academic Press, 39-68, 1993.
39. D. Geman, J. Horowitz and J. Kepner, "Computation of IRAS fluxes via a priori astrometry,'' Proc. Conf. on Infrared Astronomy with Arrays: The Next Generation, Los Angeles, July, 1993.
40. D. Geman and B. Jedynak, "Shape recognition and twenty questions,'' Proc., RFIA '94, 1, 21-37, 1994.
41. D. Geman, "The entropy strategy for shape recognition,'' Proc. 1994 IEEE-IMS Workshop on Information Theory and Statistics, Alexandria, VA, October, 1994.
42. D. Geman and C. Yang, "Nonlinear image recovery with half-quadratic regularization,'' IEEE Trans. Image Processing, 4, 932-946, 1995.
43. D. Geman and B. Jedynak, "An active testing model for tracking roads from satellite images,'' IEEE Trans. Pattern Anal. Mach. Intell., 18, 1-14, 1996.
44. F. Jung, B. Jedynak and D. Geman, "Recognizing buildings in aerial images,'' Automatic Extraction of Man-Made Objects from Aerial and Space Images, II, Birkhauseer (Basel), 173-182, Ascona, May 1997.
45. Y. Amit and D. Geman, "Shape quantization and recognition with randomized trees,'' Neural Computation, 9, 1545-1588, 1997.
46. Y. Amit, D. Geman and K. Wilder, "Joint induction of shape features and tree classifiers,'' IEEE Trans. Pattern Anal. Mach. Intell., 19, 1300-1306, 1997.
47. Y. Amit, D. Geman and B. Jedynak, "Efficient focusing and face detection,'' Face Recognition: From Theory to Applications, eds. H. Wechsler et al, NATO ASI Series F, Springer-Verlag, Berlin, 157-173, 1998.
48. D. Geman and A. Koloydenko, "Invariant statistics and coding of natural microimages,'' Proc. IEEE Workshop on Statistical and Computational Theories of Vision, Fort Collins, CO, June, 1999.
49. F. Fleuret and D. Geman, "Graded learning for object detection,'' Proc. IEEE Workshop on Statistical and Computational Theories of Vision, Fort Collins, CO, June, 1999.
50. C. Li and D. Geman, ``Active testing at multiple resolutions,'' Proc. ASA Conference, Baltimore, 1999.
51. Y. Amit and D. Geman, "A computational model for visual selection,'' Neural Computation, 11, 1691-1715, 1999.
52. D. Geman and R. Moquet, "A stochastic feedback model for image retrieval,'' Proc. RFIA 2000, Paris, February, 2000.
53. D. Geman and B. Jedynak, "Model-based classification trees,'' IEEE Trans. Info. Theory, 47, 1075-1082, 2001.
54. F. Fleuret and D. Geman, "Coarse-to-fine face detection,'' Inter. J. Computer Vision, 41, 85-107, 2001.
55. D. Geman, "Interrogation Bayesienne d'une base de don'ees,'' Proc. 33'rd Journees de Statistique, 15-20, Nantes, 2001.
56. D. Geman and R. Moquet, "Q \& A models for interactive search,'' Technical Report, 2001.
57. F. Fleuret and D. Geman, "Fast face detection with precise pose estimation,'' Proc. ICPR2002, 1, 235-238, 2002.
58. H. Sahbi, D. Geman and N. Boujemaa, "Face Detection using coarse-to-fine support vector classifiers,'' Proc. ICIP-02, 3, 925-928, 2002.
59. S. Krempp, D. Geman and Y. Amit, Sequential learning with reusable parts for object detection,'' Technical Report, 2002.
60. D. Geman, "Coarse-to-fine classification and scene labeling,'' Nonlinear Estimation and Classification (eds. D.D.Denison et al.), Lecture Notes in Statistics, 171, New York: Springer-Verlag, 31-48, 2003.
61. C. d'Avignon and D. Geman, "Tree-structured neural decoding,'' Journal of Machine Learning Research, 4, 743-754, 2003.
62. S. Gangaputra and D. Geman, "Self-normalized linear tests,'' Proc. CVPR 2004, 2, 616-622, 2004.
63. X. Fan and D. Geman, "Hierarchical object indexing and sequential learning,'' Proc. ICPR 2004, 3, 65-68, 2004.
64. D. Geman, C. d'Avignon, D. Naiman and R. Winslow, "Classifying gene expression profiles from pairwise mRNA comparisons,'' Statis. Appl. in Genetics and Molecular Biology, 3, 2004.
65. D. Geman, C. d'Avignon, D. Naiman, R. Winslow and A. Zeboulon, "Gene expression comparisons for class prediction in cancer studies,'' Proc. 36'th Symposium on the Inteface: Computing Science and Statistics, 2004, to appear.
66. Y. Amit, D. Geman and X. Fan, "A coarse-to-fine strategy for multi-class shape detection,'' IEEE Trans. Pattern Anal. Mach. Intell., 2004, to appear.
67. G. Blanchard and D. Geman, "Sequential testing designs for pattern recognition,'' Annals of Statistics, 2005, to appear.