Ohio State University phone: 614-***-****

Department of Computer Science and Engineering e-mail:aboqgh@r.postjobfree.com

*** ****** ************, **** **** Avenue http://www.cse.ohio-state.edu/ mbelkin

Columbus, OH 43210-1277

Mikhail Belkin Curriculum Vitae

Research Interests

Machine learning, pattern recognition and statistical analysis of natural data.

Manifold and spectral methods for machine learning. Algorithms for

semi-supervised learning and clustering.

Understanding the value of unlabeled data in pattern recognition.

Academic Experience

Ohio State University, Associate Professor,

Department of Computer Science and Engineering, Sept 2011present

.

Department of Statistics (courtesy appointment), Sept 2011present.

Ohio State University, Assistant Professor,

Department of Computer Science and Engineering, Sept 20052011

.

Department of Statistics (courtesy appointment),

Feb 20092011.

Statistical and Applied Mathematical Sciences Institute

(

SAMSI),

Research Fellow, Jan 2007March 2007

.

University of Chicago, Department of Computer Science,

Postodctoral Research Associate, Dec 2003Aug 2005.

Institute for Pure and Applied Mathematics, UCLA,

Program on Multiscale Geometry and Analysis in High Dimensions,

invited participant, Fall 2004.

University of California, Berkeley, Department of Statistics,

Visiting Research Fellow, FebMar 2004

.

Max Planck Institute for Biological Cybernetics, Tubingen,"

Research Scientist, Aug Dec 2003

.

Degrees and Education

University of Chicago, Ph.D. in Mathematics, 2003.

Thesis: Problems of Learning on Manifolds.

Thesis adviser: Partha Niyogi.

University of Chicago, M.Sc. in Mathematics, 1997.

University of Toronto, Hon.B.Sc. with High Distinction,

Major in Mathematics, 1995.

Grants, Awards and Scholarships

NSF RI: Small: Algebraic and Spectral Structure of Data in High Dimension: Algebraic and

Spectral

Structure of Data in High Dimension, 2011-2013.

Lumley Research Award, College of Engineering, Ohio State University, 2011.

NSF EAGER, Integration of Computational Geometry and Statistical Learning for Modern Data

Anal-

ysis (co-PI), 2010 2012.

AFOSR, Networks of Memories (co-PI), 2009 2012.

NSF Conference Grant, 2009 Machine Summer School on Computational Learning (PI), 2009.

NSF Early Career Award: Geometry and High-dimensional Inference (PI), 2007 2012.

NSF/DARPA Computational and Algorithmic Representation of Geometric Objects incubationary

grant (Senior Personnel), 2003 2004.

University Fellowship, University of Chicago, 1996 1997.

National Science and Engineering Research Council of Canada Postgraduate Scholarship,

1995

1997.

National Science and Engineering Research Council of Canada Undergraduate

Summer Research Award, 1995.

Several merit-based undergraduate scholarships and awards, including Galois Award in

Mathematics,

Ted Mossman Scholarship, Alfred T. Delury Scholarship in Mathematics, Samuel Beatty

Award.

Moscow Mathematical Olympiad, second prize, 1990.

Teaching Experience

2009 AAAI Fall Symposium on Manifold Learning.

2009 Machine Learning Summer School/Workshop on Theory and Practice of Computational

Learn-

ing.

Workshop on Geometry, Random Matrices, and Statistical Inference, SAMSI, Jan 2007.

2005 Chicago Machine Learning Summer School.

Invited Talks and Tutorials

Oberwolfach mini-workshop on Mathematics of Machine Learning, Aug 2011.

Summer School an Neuroinformatics, Marine Biological Laboratory, Woods Hole, Aug 2011.

Dagstuhl Workshop on Mathematical and Computational Foundations of Learning Theory, July

2011.

The Fourth International Conference on Computational Harmonic Analysis, Hong Kong, May

2011.

MIT Brains and Machines Seminar, Apr 2011.

Ohio State University, ECE IPS Seminar, Feb 2011.

Purdue University, Computer Science, Nov 2010.

Oregon State University, Mathematics/Computer Science Colloquium, Oct 2010.

Laboratoire J.-V.Poncelet Seminar, Moscow, Sept 2010.

Summer School an Neuroinformatics, Marine Biological Laboratory, Woods Hole, Aug 2010.

COGFEST 2010, Ohio State University, Columbus, May 2010.

13th International Conference on Approximation Theory, San Antonio, March 2010.

Information Theory and Applications Workshop, University of California, San Diego, Feb

2010.

NIPS Workshop on Manifolds, Sparsity, and Structured models, Whistler, Canada, Dec 2009.

Center for Imaging Science, John Hopkins University, Nov 2009.

Forum on Geometric Aspects of Machine Learning and Visual Analytics: Recent Developments

and

Future Challenges, Atlantic City, Oct 2009.

Summer School an Neuroinformatics, Marine Biological Laboratory, Woods Hole, Aug 2009.

Summer School on Manifold Learning in Image and Signal Analysis, Ven, Denmark, Aug 2009.

1st Sino-USA Summer School in Vision, Learning and Pattern Recognition, Beijing, July

2009.

Seoul National University, Seoul,July 2009.

Microsoft Research Asia, Beijing, June 2009.

Zhejiang University, Computer Science, July 2009.

Peking University, Department of Statistics, June 2009.

LANL Seminar, Los Alamos, Apr 2009.

Information Theory and Applications Workshop, University of California, San Diego, Feb

2009.

Carnegie Mellon University, Department of Statistics, Nov 2008.

IMA workshop on Multi-Manifold Data Modeling and Applications, Minneapolis, Oct 2008.

BIRS workshop on Understanding the New Statistics: Expanding Core Statistical Theory,

Banff, Sept

2008.

2nd LANL/OSU Workshop, Columbus, Sept 2008.

2008 Beijing International Conference on Machine Learning and Data Mining, Beijing, June

2008.

FOCM Workshop on Learning Theory, Hong Kong, June 2008.

Ohio State University, Department of Mathematics, May 2008.

OSU Cognitive Science Center Colloquium, March 2008.

Workshop on Geometric and Topological Approaches to Data Analysis, University of Chicago,

Oct

2007.

56th Session of the International Statistical Institute (ISI), Lisbon, August 2007.

6th International Congress on Industrial & Applied Mathematics, Zurich, July 2007.

PASCAL Workshop on Graph Theory and Machine Learning (keynote talk), Bled, June 2007.

Conference on Applied Inverse Problems (AIP) 2007, Vancouver, June 2007.

SIAM Conference on Applications of Dynamical Systems, Snowbird, Utah, May 2007.

The North Carolina State University, EECS, March 2007.

Duke University, Computer Science, Feb 2007.

Information Theory and Applications Workshop, University of California, San Diego, Feb

2007.

University of California, Davis, Department of Mathematics, Oct 2006.

AMS Sectional Meeting, Cincinnati, Oct 2006.

Ohio State University, Department of Statistics, Oct 2006.

JSM (Joint Statistical Meeting), Seattle, Aug 2006.

IMS (Institute of Mathematical Statistics) Annual Meeting, Rio de Janejro, July 2006.

EURO 2006, Reykjavik, July 2006.

WNAR/IMS meeting, Flagstaff, June 2006.

Workshop on New Perspectives in Geometric Analysis, The University of Toledo, May 2006.

The Ohio State University, Department of Computer Science, Oct 2005.

University of Genoa, Department of Computer Science, June 2005.

SAMSI workshop on Random Graphs and Stochastic Computation, June 2005.

Interface/CSNA, Session on Graph Theoretic Methods in Pattern Recognition, June 2005.

The University of Andes, Colombia, Minicourse on Spectral Methods in Learning, Department

of

Mathematics, March 2005.

IPAM Program on Multiscale Geometry and Analysis in High Dimensions,

Culminating Conference, Lake Arrowhead, Dec 2004.

University of California, San Diego, Computer Science, Oct 2004.

Moscow State University, Faculty of Mathematics, Kolmogorov Complexity Seminar, Sept

2004.

Max Planck Institute for Biological Cybernetics, Tubingen, Aug 2004."

MIT CSAIL, Brains and Machines seminar series, July 2004.

ICASSP 2004, Workshop on Manifolds and Geometry in Signal Processing, Montreal, May 2004.

University of Montreal, Department of Informatics, May 2004.

University of Wisconsin, Madison, Electrical and Computer Engineering, Mar 2004.

University of California, Berkeley, Statistics Colloquium, Mar 2004.

Brown University, Applied Mathematics, Feb 2004.

Toyota Technological Institute at Chicago, Jan 2004.

University College London, Department of Computer Science, Nov 2003.

University of Birmingham, Department of Computer Science, Nov 2003.

Max Planck Institute for Biological Cybernetics, Tubingen, Oct 2003."

University of Toronto, Department of Statistics, Apr 2003.

University of Amsterdam, The Netherlands, Department of Computer Science, Feb 2003.

EURANDOM, The Netherlands, Feb 2003.

NIPS

2002, Workshop on Spectral Methods, Dec 2002.

University of Chicago, Department of Computer Science, Feb 2002.

Recent Program Committees and Other Service

JMLR Action Editor

.

PAMI Associate Editor.

Area chair for NIPS 2011.

Area chair for NIPS 2010.

Local chair for SDM 2010.

COLT 2010.

Area chair for ICML 2010.

AI and Statistics 2010.

Refereed and served on program committees for

The Annals of Statistics, IEEE Transactions on Pattern Analysis and Machine Intelligence,

Bernoulli,

ACM Transactions on Sensor Networks, IEEE Transactions on Image Processing, IEEE

Transactions

on Signal Processing, International Journal of Computer Vision, Machine Learning Journal,

Journal of

Machine Learning Research, Journal of the American Statistical Association (JASA),

Pattern Recog-

nition, FOCS, NIPS, ICML, COLT, AISTATS, AAAI, ICCV.

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