1999: Master of Science, Computer Science, University of Minnesota, Minneapolis, USA.
1993: Master of Technology (Five year Co-op) in Electrical Engineering at Indian Institute of Technology, Mumbai (Bombay), India.
Professional Chronograph
2004-Present: Member of Applications Staff at SAS Institute's R & D Division, Cary, NC, USA.2002-2004: Research Staff Member at IBM Almaden Research Center, San Jose, CA, USA.
2000-2002: Research Associate at IBM T. J. Watson Research Center, Yorktown Heights, NY, USA.
1999: Summer Intern at IBM T. J. Watson Research Center, Yorktown Heights, NY, USA.
1996-2000: Graduate Research Assistant, Department of Computer Science, University of Minnesota, USA.
1993-1995: Visiting Researcher at IBM T. J. Watson Research Center (on assignment from TiSL, India).
My research focus has been in the following areas till now:
- Data Mining Algorithms
- Parallel Scientific Computing
- Fuzzy Logic and Neural Networks in Control Systems
Data Mining :
I started getting interested in the field of data mining in the third year of my graduate studies. I have been working primarily on gaining deeper understanding into the problems of learning classifier models and mining associations in order to design more efficient and more effective solution methods.Publications:
-
CREDOS: Classification Using Ripple Down Structure (A Case for Rare Classes) (2004)
,
(with Vipin Kumar), Proceedings of
the 2004 SIAM International Conference on Data Mining (SDM'04),
Lake Buena Vista, April 2004.
-
Topic Learning from Few Examples (2003)
,
(with Huaiyu Zhu and Shivakumar Vaithyanathan), In Proceedings of
the Seventh European Conference on Principles and Practice of
Knowledge Discovery in Databases (PKDD'03), Croatia, September 2003.
-
On Evaluating Performance of Classifiers for Rare Classes (2002)
,
Proceedings of the Second
IEEE International Conference on Data Mining (ICDM'02), Japan.
-
Predicting Rare Classes: Comparing Two-Phase Rule Induction to
Cost-Sensitive Boosting (2002)
,
(with Vipin Kumar and Ramesh Agarwal), Accepted as a regular paper to
the Sixth European Conference on Principles and Practice of
Knowledge Discovery in Databases (PKDD'02), Helsinki, Finland, August 2002.
-
Predicting Rare Classes: Can Boosting Make Any Weak Learner Strong? (2002)
,
(with Vipin Kumar and Ramesh Agarwal), Accepted as a regular paper to
the Eighth ACM SIGKDD International Conference on Knowledge Discovery and
Data Mining (KDD'02), Edmonton, Canada, July 2002.
-
Evaluating Boosting Algorithms to Classify Rare Classes:
Comparison and Improvements (2001)
,
(with Vipin Kumar and Ramesh Agarwal), Accepted as a regular paper to
the First IEEE International Conference on Data Mining (ICDM'01), San Jose, CA,
November 2001. (Expanded Version appears as
IBM Research Report RC-22147).
-
A Universal Formulation of Sequential Patterns (2001)
,
(with George Karypis and Vipin Kumar), Proceedings of the KDD'2001 workshop
on Temporal Data Mining, San Fransisco, August 2001.
(A slightly different version also appears as Technical Report No. 99-021,
Department of Computer Science, University of Minnesota, 1999.)
-
Mining Needles in a Haystack: Classifying Rare Classes via Two-Phase Rule
Induction (2001)
,
(with Ramesh Agarwal and Vipin Kumar), Proceedings of ACM SIGMOD'01 conference
on Management of Data, Santa Barbara, May 2001.
-
PNrule: A New Framework for Learning Classifier Models in Data Mining
(A Case-study in Network Intrusion Detection)
(2001),
(with Ramesh Agarwal), Proceedings of First SIAM International Conference on
Data Mining, Chicago, April 2001. (An extended version appears as
IBM Research Divisoin Technical Report No. RC-21719, April 2000)
-
Parallel Algorithms for Data Mining (2000) ,
(with Eui-Hong (Sam) Han, George Karypis, and Vipin Kumar),
in J. Dongarra, I. Foster, G. Fox, K. Kennedy, L. Torczon, and A. White,
"CRPC Parallel Computing Handbook", Morgan Kaufmann, 2000.
-
Efficient Parallel Algorithms for Mining Associations (2000) ,
(with Eui-Hong (Sam) Han, George Karypis, and Vipin Kumar),
in M. Zaki, C.-T. Ho (eds.), "Large-scale Parallel and
Distributed Data Mining", Lecture Notes in Computer Science/Lecture Notes in
Artificial Intelligence (LNCS/LNAI), vol. 1759, Springer-Verlag.
-
Parallel Algorithms for Mining Sequential Associations: Issues and
Challenges (2000) ,
(with George Karypis and Vipin Kumar), Technical Report No. 00-002,
Dept. of Computer Science, University of Minnesota.
Also presented at the Second
Workshop on High Performance Data Mining at IPPS/SPDP'99,
San Juan, Puerto Rico, April 1999.
-
Tutorial on High Performance Data Mining (1999)
,
(with Vipin Kumar), Taught at Fifth International Conference on
High Performance Computing (HiPC'98), Chennai, India; and at
Joint International Parallel Processing Symposium/Symposium on Parallel and
Distributed Processing (IPPS/SPDP)'99, San Juan, Puerto Rico.
- ScalParC: A new Efficient and Scalable Parallel Classification Algorithm for Mining Large Datasets (1998), (with George Karypis and Vipin Kumar), Proceedings of 12th International Parallel Processing Symposium (IPPS/SPDP'98), Orlando, April,1998.
Parallel Scientific Computing :
I have worked in scientific applications of parallel computing algorithms such as direct solvers for sparse and banded symmetric positive definite systems, FFT, matrix-matrix multiplication, tridiagonal matrix solvers, etc. The work started when I was a member of Algorithms and Architectures group of Mathematical Sciences Department at IBM T J Watson Research Center; and continued in my first two years as a graduate student here at University of Minnesota.Software:
-
Know more about PSPASES from here .
(with Anshul Gupta, George Karypis and Vipin Kumar).
- WSSMP (Watson Sparse Symmetric Matrix Package) : (with Anshul Gupta and Vipin Kumar). Released Out of IBM Watson Research Center, Yorktown Heights, New York.
Publications:
-
PSPASES : An Efficient and Scalable Parallel Sparse Direct Solver (1999)
,
(with Anshul Gupta, Fred Gustavson, George Karypis, and Vipin Kumar),
A short version appears in Parallel Numerical Computations with
Applications, Tianruo Yang
(ed.), Kluwer International Series in Engineering and Computer Science,
Vol. 515, September 1999.
[Presented at the International Workshop on Frontiers of
Parallel Numerical Computations and Applications (Frontiers'99), Annapolis,
Maryland, Feb. 1999.]
-
WSSMP : A High-Performance Shared- and Distributed-Memory Parallel Sparse
Symmetric Linear Equation Solver,
(with Anshul Gupta and Vipin Kumar),
Expanded version of the invited talk given by Anshul Gupta at the PARA'98
Workshop on Applied Parallel Computing in Large Scale Scientific and
Industrial Problems, June 1998.
-
PSPASES : Scalable Parallel Direct Solver Library for Sparse Symmetric
Positive Definite Linear Systems : User's Manual (1997)
[Latest update: May 1999],
(with Anshul Gupta, Fred Gustavson, George Karypis, and Vipin Kumar),
Technical Report TR 97-059, Department of Computer Science, University
of Minnesota, Minneapolis, MN.
-
A High Performance Two Dimensional Scalable Parallel Algorithm for
Solving Sparse Triangular Systems (1997),
(with Anshul Gupta, George Karypis, and Vipin Kumar),
Proc. 4th International Conference on High Performance Computing
(HiPC'97), Bangalore, India.
-
Design and Implementation of a Scalable Parallel Direct Solver for
Sparse Symmetric Positive Definite Systems: Preliminary Results (1997),
(with Anshul Gupta, Fred Gustavson, George Karypis, and Vipin
Kumar)
Proc. Eighth SIAM Conference on Parallel Processing for Scientific Computing,
Minneapolis, USA.
-
Design, Implementation, and Evaluation
of a Banded Linear Solver for Distributed-Memory Parallel Computers
(1998),
(with Anshul Gupta, Fred Gustavson, and Sivan Toledo),
in ACM Transactions on Mathematical Software, vol. 24, no. 1, pp. 74-101,
March 1998.
-
A Three-Dimensional Approach to Parallel Matrix
Multiplication (1995),
(with R C Agarwal, S M Balle, F G Gustavson, and P Palkar),
IBM Journal of Research and Development, vol.35, no.9.
- A Scalable Parallel Block Algorithm for Band Cholesky Factorization (1995), (with Ramesh Agarwal, Fred Gustavson, and Mohammed Zubair), Proc. of Seventh SIAM Conference on Parallel Processing for Scientific Computing, San Fransisco, USA.
Fuzzy Logic and Neural Networks in Control Systems :
I developed a Single Neuron Controller and devised Fuzzy inverse incremental modeling algorithms for SISO Systems. This was my M.Tech. (5 year co-op) thesis work at Indian Institute of Technology, Mumbai, India.Publications:
-
Fuzzy Inverse Incremental Model as Tracking Controller
for SISO systems (1994),
(with P.G.Poonacha and B.Seth),
Proc. of Third International Conference
on Fuzzy Systems (FUZZ-IEEE), Orlando, USA, vol.3, Jul.1994
- Fuzzy Logic Based Single Neuron Tracking Controller for SISO Systems (1993) , (with P.G.Poonacha and B.Seth), Proc. of International Joint Conference on Neural Netowrks (IJCNN), Nagoya, Japan, vol.3, Oct.1993.
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