My CV is also available in [PDF] and [PS].


Amol Ghoting

2015 Neil Avenue, 395 Dreese Laboratories
Columbus, Ohio, 43210, USA
Phone: 614-316-7752, Email: g h o t i n g@cse.ohio-state.edu (remove spaces)
URL: http://www.cse.ohio-state.edu/~ghoting

Education:

2002-present
The Ohio State University, Columbus, OH, USA
Ph.D. Candidate - Computer Science and Engineering
Major - Systems, Minors - Computer Architecture and Statistics.

2000-2001
University of Southern California, Los Angeles, CA, USA
M.S. - Computer Science.

1996-2000
Victoria Jubilee Technical Institute (V.J.T.I.), University of Bombay, India
B.E. - Computer Engineering.

Research Interests:

Data Mining, Database Systems, High Performance Computing, Architecture-Conscious Algorithms, and Machine Learning.

Awards and Honors:

IBM Ph.D. Fellowship Award (2006).
Outstanding Research Award, Dept. of CSE, The Ohio State University (2006).
Best Paper Award (1/631), International Conference on Very Large Databases (2005).
Travel Award, ACM International Conference on Supercomputing (2005).
Election, Upsilon Pi Epsilon, the ACM and IEEE honor society in Computer Science (2004).
Fellowship Award, Regents of the University of California -- not accepted (2000).
Ranked 82nd in India amongst half a million examinees at the 12th Grade University Entrance Examinations (1996).

Research Experience:

2002-present
Graduate Research Associate
Department of Computer Science and Engineering
The Ohio State University, Columbus, OH, USA
Performed research in the areas of high performance data mining, architecture-conscious algorithms, data stream processing and mining, interactive data mining, and outlier and anomaly detection
Supervisor: Prof. Srinivasan Parthasarathy.

Summer 2006
Research Intern
Mathematical Sciences Department
IBM T. J. Watson Research Center, Yorktown Heights, NY, USA
Designed and implemented a middleware for parallelizing machine learning algorithms on massively parallel architectures (e.g., IBM Blue Gene/L)
Supervisors: Dr. Edwin Pednault and Dr. Chid Apte.

Summer 2004
Research Intern
Microprocessor Research Labs
Intel Corporation, Santa Clara, CA, USA
Designed and proto-typed an architecture-conscious frequent pattern mining algorithm
Supervisors: Dr. Yen-Kuang Chen and Dr. Pradeep Dubey.

2000-2001
Research Assistant
Integrated Media Systems Center
University of Southern California, Los Angeles, CA, USA
Performed research in the areas of haptic data analysis and recommender systems.


Development Experience:

2001-2002
Consultant
Metrysoft Inc., San Diego, CA, USA
Designed and implemented a Universal Plug and Play (UPnP) control point in C#.


2001-2002
Software Engineer
Integrated Decision Systems, Los Angeles, CA, USA
Designed and implemented an Informix Universal Server to Oracle 8i port, an XML-based report publishing engine, and an XML to RDBMS download library.

Teaching Experience:

2002-present (4 quarters)
Graduate Teaching Associate
Department of Computer Science and Engineering
The Ohio State University, Columbus, OH, USA
Course instructor for CSE 100: Introduction to Computing Technology; Teaching assistant for CSE694Z: Introduction to Data Mining and CSE 675: Introduction to Computer Architecture.

Publications:

Journal Papers:

  1. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y.Chen, and P. Dubey. Cache-Conscious Frequent Pattern Mining on Modern and Emerging Processors. In International Journal on Very Large Data Bases (VLDBJ), 2006.
    [to appear]
  2. M. Otey, A. Ghoting, and S. Parthasarathy. Fast Distributed Outlier Detection in Mixed Attribute Data Sets. In Data Mining and Knowledge Discovery Journal (DMKD), 2006.
    [PDF]

Book Chapters:

  1. S. Parthasarathy, A. Ghoting, and M. Otey. Distributed Mining of Data Streams. In Data Streams: Models and Algorithms, Charu Aggarwal (editor), Springer, 2006.
    [Please email me for a copy]

Conference & Workshop Papers:

  1. G. Buehrer, S. Parthasarathy, A. Ghoting, Y-K. Chen, A. Nguyen, D. Kim, and P. Dubey. Efficient Frequent Pattern Mining on Shared Memory Systems: Implications for Chip Multiprocessor Architectures. In Proceedings of the SIGPLAN Workshop on Memory System Performance and Correctness (MSPC), 2006.
    [to appear]
  2. A. Ghoting and S. Parthasarathy. Knowledge-Conscious Exploratory Data Clustering. In Proceedings of the European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD), 2006.
    [PDF]
  3. G. Buehrer, S. Parthasarathy, and A. Ghoting. Efficient Out-of-core Frequent Itemset Mining on a Commodity PC. In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2006.
    [PDF]
  4. G. Buehrer, A. Ghoting, X. Zhang, S. Tatikonda, S. Parthasarathy, T. Kurc, and J. Saltz. I/O Conscious Algorithm Design and Systems Support for Data Analysis on Emerging Architectures. In Proceedings of IPDPS Workshop on Next Generation Software, 2006.
    [PDF]
  5. A. Ghoting, S. Parthasarathy, and M. Otey. Fast Mining of Distance-based Outliers in High Dimensional Datasets. In Proceedings of the SIAM International Conference on Data Mining (SDM), 2006.
    [PDF]
  6. M. Otey, S. Parthasarathy, and A. Ghoting. An Empirical Comparison of Outlier Detection Algorithms. In Proceedings of the ACM SIGKDD Workshop on Data Mining Methods for Anomaly Detection, 2005.
    [PDF]
  7. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y.Chen, and P. Dubey. Cache-Conscious Frequent Pattern Mining on a Modern Processor. In Proceedings of the International Conference on Very Large Data Bases (VLDB), 2005. (Winner of the Best Paper Award - 1st place out of 631)
    [PDF]
  8. A. Ghoting, G. Buehrer, S. Parthasarathy, D. Kim, A. Nguyen, Y. Chen, P. Dubey. A Characterization of Data Mining Algorithms on a Modern Processor. In Proceedings of the SIGMOD Workshop on Data Management on New Hardware (DaMoN), 2005.
    [PDF]
  9. H.Wang, S. Parthasarathy, A. Ghoting, S. Tatikonda, G. Buehrer, T. Kurc, and J. Saltz. Design of a Next Generation Sampling Service for Large Scale Data Analysis Applications. In Proceedings of the ACM International Conference on Supercomputing (ICS), 2005.
    [PDF]
  10. H. Wang, A. Ghoting, G. Buehrer, S. Tatikonda, S. Parthasarathy, T. Kurc, and J. Saltz. A Services Oriented Framework for Next Generation Data Analysis Centers. In Proceedings of the IPDPS Workshop on Next Generation Software, 2005.
    [PDF]
  11. A. Ghoting, M. Otey, and S. Parthasarathy. LOADED: Link-based Outlier and Anomaly Detection in Evolving Data Sets. In Proceedings of the IEEE International Conference on Data Mining (ICDM), 2004.
    [PDF]
  12. A. Ghoting and S. Parthasarathy. Facilitating Interactive Distributed Data Stream Processing and Mining. In Proceedings of the IEEE International Parallel and Distributed Processing Symposium (IPDPS), 2004.
    [PDF]
  13. A. Ghoting and S. Parthasarathy. DASPA: A Disk-Aware Stream Processing Architecture. In Proceedings of the SIAM Workshop on High Performance Data Mining (HPDM), 2003.
    [PDF]
  14. M. Otey, S. Parthasarathy, A. Ghoting, G. Li, S. Narravula, D. Panda. Towards NIC-based Intrusion Detection. In Proceedings of the ACM International Conference on Knowledge Discovery and Data Mining (SIGKDD), 2003.
    [PDF]
  15. C. Shahabi, L. Kaghazian, S. Mehta, A. Ghoting, G. Shanbhag, and M. McLaughlin. Understanding of User Behavior in Immersive Environments. In Touch in Virtual Environments: Haptics and the Design of Interactive Systems, Margaret L. McLaughlin, Joao Hespanha, and Gaurav Sukhatme, Editors, All of University of Southern California Prentice Hall, ISBN 0-13-065097-8.
    [PDF]
  16. C. Shahabi, L. Kaghazian, S. Mehta, A. Ghoting, G. Shanbhag, and M. McLaughlin. Analysis of Haptic Data for Sign Language Recognition. In Proceedings of the 9th International Conference on Universal Access in Human Computer Interaction, 2001.
    [PDF]

Demonstrations:

Parallel Machine Learning Toolbox.
Ehud Aharoni, Amol Ghoting, Ramesh Natarajan, Edwin Pednault, Dan Pelleg, and Elad Yom-tov.
In Annual Conference on Neural Information Processing Systems (NIPS), December 2006.

Patents:

A Method and an Apparatus to Improve Processor Utilization in Data Mining.
Amol Ghoting, Daehyun Kim, Yen-Kuang Chen, and Anthony Nguyen.
US patent pending (Application number 11/026,775) - Filed by Intel Corporation, December 2004.

Skills:

OS: Linux, Solaris, Windows
Tools: Intel VTune Performance Analyzers
Languages and Interfaces: Familiar with C, C++, C#, Java, MPI, OpenMP, SQL
Simulators: SimpleScalar

Selected Presentations:

  1. Parallel Machine Learning on Distributed Memory Systems. IBM Research, Yorktown Heights, NY, USA, September 2006.
  2. Cache-conscious Frequent Pattern Mining on a Modern Processor. International Conference on Very Large Data Bases, Trondheim, Norway, September 2005.
  3. A Characterization of Data Mining Algorithms on a Modern Processor. ACM SIGMOD Workshop on Data Management on New Hardware, Baltimore, MD, USA, June 2005.
  4. Link-based Outlier and Anomaly Detection in Evolving Datasets. International Conference on Data Mining, Brighton, UK, November 2004.
  5. Parallel Frequent Itemset Mining: Where does time go and what can we do about it? Intel Corporation, Santa Clara, CA, USA, September 2004.
  6. Facilitating Interactive Distributed Data Stream Processing and Mining. International Parallel and Distributed Processing Symposium, Santa Fe, NM, USA, April 2004.
  7. Disk-Aware Stream Processing. SIAM Workshop on High Performance Data Mining, San Francisco, CA, USA, May 2003.

Professional Activities:

2005-2006: Member of the Graduate Admissions Committee, The Ohio State University.
2003-2005: Member of the Graduate Recruitment Committee, The Ohio State University.
2001: Co-chair, IMSC Student Seminar Series, University of Southern California.

Reviewer:
2006: ACM Conference on Information and Knowledge Management.
2006: European Conference on Principles and Practice of Knowledge Discovery in Databases.
2006: IEEE Parallel and Distributed Processing Symposium.
2005: IEEE Symposium on Bioinformatics and Bioengineering.
2003, 2004, 2006: ACM International Conference on Knowledge Discovery and Data Mining.
2003, 2005, 2006: IEEE International Conference on Data Mining.
2004, 2005: SIAM International Conference on Data Mining.
2003: ICDM Workshop on Data Mining for Computer Security.
2003: SIAM Workshop on High Performance Data Mining.
2003: SIGKDD Workshop on Research Issues in Data Mining and Knowledge Discovery.

Personal Data:

Born 20th September, 1979, Dubai, United Arab Emirates.
Indian Citizen.

References:

Dr. Srinivasan Parthasarathy, Associate Professor
Dept. of Computer Science and Engineering, The Ohio State University
2015 Neil Avenue, 395 DL, Columbus OH 43210
s r i n i@ cse.ohio-state.edu, 614-292-2568.

Dr. P. Sadayappan, Professor
Dept. of Computer Science and Engineering, The Ohio State University
2015 Neil Avenue, 395 DL, Columbus OH 43210
s a d a y@ cse.ohio-state.edu, 614-292-0053.

Dr. Yen-Kuang Chen, Senior Staff Researcher
Applications Research Laboratory, Intel Research
2200 Mission College Blvd, Santa Clara, CA 95052
y e n-k u a n g.c h e n@intel.com, 408-765-8845.

Dr. Pradeep Dubey, Senior Principal Engineer and Manager
Applications Research Laboratory, Intel Research
2200 Mission College Blvd, Santa Clara, CA 95052
p r a d e e p.d u b e y@intel.com, 408-765-4826.

Dr. Edwin Pednault, Research Staff Member
Mathematical Sciences Department, IBM T. J. Watson Research Center
P. O. Box 218, Yorktown Heights, NY 10598
p e d n a u l t@us.ibm.com, 914-945-2278

Dr. Chid Apte, Senior Manager
Mathematical Sciences Department, IBM T. J. Watson Research Center
P. O. Box 218, Yorktown Heights, NY 10598
a p t e@us.ibm.com, 914-945-1024