School of EECS, EME 403 509-335-4969
http://www.eecs.wsu.edu/~siva siva@wsu.edu
Current Position Associate Professor, School of Electrical
Engineering and Computer Science, Washington State University, Pullman,
Washington.
Education Ph.D., 1997,
Electrical and Computer Engineering, The Johns Hopkins
University, Baltimore, Maryland.
M.S.E.,
1995, Mathematical Sciences, The Johns
Hopkins University,
Baltimore, Maryland.
M.S.E.,
1993, Electrical and Computer Engineering, The Johns Hopkins
University, Baltimore, Maryland.
B.Tech., 1991,
Electrical Engineering, Indian Institute of Technology, Bombay, India.
Research Interests Statistical signal and image processing, Machine
learning, Graphical modeling and inference, Statistical estimation and
detection, Intersymbol interference, Signal
processing and coding for magnetic storage,
Data mining and knowledge discovery, Distributed data mining, Privacy sensitive data mining,
Analysis of multivariate gene-expression relationships.
Academic Honors Abel Wolman Fellowship, The Johns Hopkins
University.
Co-author
of Best Paper Award winning paper in IEEE ICDM 2003: “On the Privacy Preserving
Properties of Random Data Perturbation Techniques.”
Work Experience Course Instructor
Part-time Programs in Engineering and
Applied Sciences, The Johns Hopkins
University (September
1992 - May 1993).
Visiting
Assistant Professor
Department of Electrical Engineering, Texas A&M University (September 1997 - August 1998).
Postdoctoral
Research Associate
Texas Center for Applied Technology, Texas A&M University (September
1997 - August 1998).
Assistant/Associate Professor
School of Electrical Engineering and Computer Science, Washington
State University (August 1998 - present).
Professional Activities Co-Editor, “Data Mining: Next Generation
Challenges and Future Directions,” to be published by AAAI/MIT Press, 2004.
Program Committee Member, “SIAM
International Conference on Data Mining,” 2004, 2005, 2006
Guest Co-Editor, Journal of
Computing in Civil Engineering (American Society of Civil Engineers), Special
issue on Applications of Imaging Technologies in Civil Engineering Materials,
2004.
Program Committee Member,
International High Performance Data Mining Workshop, 2004, 2005, 2006, 2007.
Program Committee Member, “IEEE International Conference on Data
Mining,” Texas,
Nov. 2005.
Workshop Co-Chair, 8th International High Performance Data Mining Workshop, 2005.
Session Chair, Neural and Fuzzy Systems, WSEAS Conference on Computational
Intelligence, Man-machine Systems and Cybernetics, Florida, Nov. 2005.
Panelist, NSF CISE Review Panel, 2003-2007
Publications Chair, NSF Workshop on Next
Generation Data Mining (NGDM'02), Baltimore,
MD, November 2002.
Co-chair, Workshop on Ubiquitous Data
Mining for Mobile and Distributed Environments, 2001 Joint 12th European
Conference on Machine Learning (ECML'01) and 5th European Conference on
Principles and Practice of Knowledge Discovery in Databases (PKDD'01),
Freiburg, Germany.
Member,
Editorial Board, “Journal of Mathematical Imaging and Vision,”
1999-Present.
Reviewer, IEEE Transactions on Image Processing, IEEE Transactions
on Neural Networks, IEEE Transactions on Pattern Analysis and Machine
Intelligence, Journal of Electronic Imaging.
Member, IEEE, IEEE Signal
Processing Society
Patent US patent issued
“Quantifying Gene Relatedness via
Nonlinear Prediction of Gene Expression Levels,” Feb., 2006, (US Patent #
7,003,403 with E. R. Dougherty, S. Kim, M. L. Bittner, and Y. Chen)
Current Research “Signal Processing and Coding for
Two-Dimensional Magnetic
Grant
Recording Channels,”
(with Prof. Ben Belzer).
Funding Agency: National Science
Foundation,
Amount: 454k
Period: 2012-2015
Other Significant Listed
in “Marquis Who’s Who in the World,” 2001, 2002, 2003, Recognition
2004.
Research featured in “The Bryan-College Station Eagle” (front
page article in May 4, 1998,
edition of the local newspaper of Bryan/College Station, TX)
KRISHNAMOORTHY
SIVAKUMAR
School of EECS, EME 403 509-335-4969
http://www.eecs.wsu.edu/~siva siva@eecs.wsu.edu
Current Position Associate Professor, School of Electrical Engineering
and Computer Science, Washington State University, Pullman, Washington.
Education Ph.D., 1997,
Electrical and Computer Engineering, The Johns Hopkins
University, Baltimore, Maryland.
M.S.E.,
1995, Mathematical Sciences, The Johns Hopkins
University, Baltimore, Maryland.
M.S.E.,
1993, Electrical and Computer Engineering, The Johns Hopkins
University, Baltimore, Maryland.
B.Tech., 1991,
Electrical Engineering, Indian Institute of Technology, Bombay, India.
Research Interests Data mining and knowledge discovery, Privacy sensitive data mining,
Distributed data mining, Statistical
modeling, estimation, and analysis, Analysis of multivariate gene-expression
relationships, Nonlinear signal and image processing.
Academic Honors Abel Wolman Fellowship, The Johns Hopkins
University.
Co-author
of Best Paper Award winning paper in IEEE ICDM 2003: “On the Privacy Preserving
Properties of Random Data Perturbation Techniques.”
Work Experience Course Instructor
Part-time Programs in Engineering and Applied
Sciences, The Johns Hopkins
University (September
1992 - May 1993).
Visiting
Assistant Professor
Department of Electrical Engineering, Texas A&M
University (September 1997 - August 1998).
Postdoctoral
Research Associate
Texas Center for Applied Technology, Texas
A&M University
(September 1997 - August 1998).
Assistant Professor
School of Electrical Engineering and Computer Science, Washington
State University
(August 1998 - present).
Professional Activities Co-Editor, “Data Mining: Next
Generation Challenges and Future Directions,” to be published by AAAI/MIT
Press, 2004.
Program Committee Member, “SIAM
International Conference on Data Mining,” Florida, April 2004.
Guest Co-Editor, Journal of
Computing in Civil Engineering (American Society of Civil Engineers), Special
issue on Applications of Imaging Technologies in Civil Engineering Materials,
2004.
Program Committee Member,
7th International High Performance Data Mining Workshop, 2004, to be held in
conjunction with 4th SIAM International Conference on Data Mining, Orlando, Florida,
April 2004.
Program Committee Member, 6th International
High Performance Data Mining Workshop (with a special emphasis
on High Performance Pervasive and Data Stream
Mining), 2003, to be held in conjunction with 3rd SIAM International Conference
on Data Mining, San Francisco, May 2003.
Reviewer, NSF ITR Program,
2003.
Publications Chair, NSF Workshop on Next
Generation Data Mining (NGDM'02), Baltimore,
MD, November 2002.
Co-chair, Workshop on Ubiquitous Data Mining for
Mobile and Distributed Environments, 2001 Joint 12th European Conference on
Machine Learning (ECML'01) and 5th European Conference on Principles and
Practice of Knowledge Discovery in Databases (PKDD'01), Freiburg, Germany.
Member,
Editorial Board, “Journal of Mathematical Imaging and Vision,”
1999-Present.
Reviewer, IEEE Transactions on Image Processing, IEEE Transactions
on Neural Networks, IEEE Transactions on Pattern Analysis and Machine
Intelligence, Journal of Electronic Imaging.
Member, IEEE
Patent US patent application filed
“Quantifying Gene
Relatedness via Nonlinear Prediction of Gene Expression Levels,” June, 2000.
(with E. R. Dougherty, S. Kim, M. L. Bittner, and Y.
Chen)
Current Research “Privacy Sensitive Data Mining
from Distributed Multi-party
Grants Distributed
Data”
Funding Agency: NSF
Amount: $158,203
Period: Sep. 2003 - Sep. 2006.
“Distributed
Data Mining For Large NASA Databases”
(NCC 2- Grants 1252)
Funding Agency: NASA Ames Research Center
(subcontract from UMBC)
Amount: $326,829 (includes only WSU portion)
Period: March 2001-Feb. 2004
Other Significant Listed
in “Marquis Who’s Who in the World,” 2001, 2002, 2003, Recognition
2004.
Research
featured in “The Bryan-College Station Eagle” (front page article in May 4, 1998, edition of the
local newspaper of Bryan/College Station, TX)
