KRISHNAMOORTHY SIVAKUMAR


 


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)