SUMMARY

Ashish Sureka is an Assistant Professor at Indraprastha Institute of Information Technology, Delhi (IIIT-D). His research interests are in the area of Text Mining and Natural Language Processing. He graduated with an MS and PhD degree in Computer Science from North Carolina State University (NCSU) in May 2002 and May 2005 respectively. He worked for four years at the R&D Unit of Infosys Technologies Limited from May 2005 to June 2009 before joining IIIT-D in July 2009. He has worked at IBM Software Group and IBM T. J. Watson Research Lab as a graduate student intern. He has published several research papers in international conferences, received a best paper award in an international conference on E-Commerce and holds two granted patents.

EDUCATION

PhD, Computer Science, North Carolina State University, USA, May 2005

MS, Computer Science, North Carolina State University, USA, May 2002 

BE, Industrial Electronics, Pune University (BVCOE), India, May 1998

 

WORK EXPERIENCE

Indraprastha Institute of Information Technology (IIIT): (July 2009 - Present) 

Infosys Technologies Limited: 4 years (May 2005 - June 2009)
IBM: 1 year (Full-time Internship)
North Carolina State University: 4 years (Graduate student research and teaching assistant)
SilverMark Inc: 1 year (Full-time Internship)

Assistant Professor (July 2009) - Present

Indraprastha Institute of Information Technology (IIIT), New Delhi, India

Senior Research Associate (May 2005 – June 2009)
Software Engineering and Technology Labs (SETLabs), Infosys Technologies Limited, Karnataka, India

Projects: Some  of  the  text  analytics  based  projects  that  I have worked on are: Information extraction from newswire text on corporate evnts  for  a  financial  information  service  provider,  automatic  trade  reconciliation  system  for  an  investment  bank,  mining automotic warranty claim data for an automotive part supplier, patent mining & automatic landscape analysis system for IP Analysts  and sentiment analysis & opinion mining.

Graduate Student Research Assistant (Aug 2001 - May 2005)
Intelligent Commerce Research Group (ICRG), Computer Science Department, North Carolina State University, North Carolina, USA

Software Developer (Internship) (May 2004 – Aug 2004)
TJ Watson Research Center, IBM, New York, USA

Software Developer (Internship) (Jan 2003 – Aug 2003)
Extreme Blue Lab and On Demand Solution Center (ODSC), IBM, North Carolina, USA

Software Developer (Internship) (May 2000 - Aug 2000 and Jan 2001 - July 2001)
SilverMark Incorporation, North Carolina, USA

Graduate Student Research and Teaching Assistant (Aug 2000 - Dec 2000 and Jan 2000 - May 2000)
Software Engineering Research Group (SERG), North Carolina State University, North Carolina, USA

Graduate Student Research Assistant (Aug 1999 - Dec 1999)
Crop Science Department, North Carolina State University, North Carolina, USA

 

RESEARCH INTERESTS

Text Mining, Information Extraction, Natural Language Processing, Data Mining and Machine Learning

 

PATENTS

• Granted Patents
• Patent Applications

GRANTED 

US 7523106 : Computerized data mining system , method and program product.  Inventors :  Russell Feng-Wei Chen, Kini Ameet M, Loureiro, Marcelo Cunha, Medicke John A JR, Plunket Betsy M and Sureka Ashish. Issue Date: 04/21/2009.Assignee: International Business Machines Corporation, Armonk, NY

US 7349919 : Computerized method, system and program product for generating a data  mining model. Inventors : Russell Feng-Wei Chen, Kini Ameet M, Medicke John A JR, Plunket Betsy M and Sureka Ashish.  Date of Patent: 03/25/2008.  Assignee: International Business Machines Corporation, Armonk, NY

APPLICATIONS

US 20090150325 : System and Method for Root Cause Analysis of the  Failure  of  a  Manufactured  Product, Inventors :  Sudripto De,  Srinivas Narasimhamurthy,  Ashish Sureka and  Satyabrata Pradhan, Patent Application No.   2868/CHE/2007  (India), USPTO Application Number 12/315,497, Filed: December 3, 2007. Assignee: Infosys Technologies Ltd, Bangalore, IN

US  2008/0077544  A1 :  Automated   Predictive   Data   Mining   Model  Selection,  Inventor : Ashish Sureka,  Publication Date: March 27, 2008. Assignee: Infosys Technologies Ltd, Bangalore, IN

US 20080010258: Collaborative Filtering-Based Recommendations,   Inventor :  Ashish Sureka,   Publication  Date: January 10, 2008. Assignee: Infosys Technologies Ltd, Bangalore, IN

US 20050102303 : Computer-implemented method, system and  program  product for mapping a  user data schema to a  mining model schema.  Inventors :  Russell Feng-Wei Chen , Kini Ameet M , Medicke John A JR , Miller Steven M , Plunket Betsy M and Sureka Ashish. Publication Date: 05/12/2005. Assignee: International Business Machines Corporation, Armonk, NY

 

PAPER PUBLICATIONS

• ACM and IEEE Conference Publications
• Springer (Lecture Notes in Computer Science) Publications
• Infosys Research Publications (SETLabs Briefings)
• TDWI Business Intelligence Journal Publication
• Papers and Patents (searched by Google Scholar) 
• NC State University, Electronic Theses and Dissertations Publication
• List of publications from the DBLP Bibliography Server
• The Collection of Computer Science Bibliographies

 

RESEARCH PAPERS

Generating Domain-Specific Ontology from Common-Sense Semantic Network for Target-Specific Sentiment Analysis, Ashish Sureka, Vikram Goyal, Denzil Correa, and Anirban Mondal, 5th International Conference of the Global WordNet Association (GWC-2010)

Polarity  Classification  of  Subjective  Words  Using Common-Sense Knowledge-Base, Ashish Sureka, Vikram Goyal, Denzil Correa, and Anirban Mondal, Twelfth International Conference on Fuzzy Sets, Data Mining & Granular Computing (RSFDGrC'09)

Automatic  Index  Generation  of  Technical  Articles  Using  a  Combination  of  Heuristics,  Linguistic  and  Statistical Approach, Pranav Prabhakar Mirajkar, Prasanna Nagesh Teli, Ashish Sureka, 4th Indian International Conference on Artificial Intelligence (IICAI-09)

Table  Extraction  from  PDF  Files  using  combination of Heuristics and Machine Learning Techniques, Kishore Indukuri Varma, Ashish Sureka, Aadil Ehsan Akhter, Pratibha Parthasarathy,  4th Indian International Conference on Artificial Intelligence (IICAI-09)

Semantic  Based  Text  Classification  of  Patent  Documents  to  a  User-Defined  Taxonomy,  Ashish Sureka, Pranav Prabhakar Mirajkar, Prasanna Nagesh Teli, Girish Agarwal, and Sumit Kumar Bose, 5th International Conference on Advanced Data  Mining  and Applications (ADMA 2009)

A  Rapid  Application  Development  Framework  for  Rule-Based  Named-Entity Extraction,  Ashish Sureka, Pranav Prabhakar Mirajkar, Kishore Indukuri Varma, ACM Compute International Conference (COMPUTE 2009)

An  Empirical  Study on the Effect of Different Similarity Measures on User-Based Collaborative Filtering Algorithms, Ashish Sureka and Pranav Prabhakar Mirajkar, Pacific Rim International Conference on Artificial Intelligence (PRICAI 08)

Using Genetic Algorithms for Parameter Optimization in Building Predictive Data Mining Models. Ashish Sureka and Kishore Varma Indukuri. The Fourth International Conference on Advanced Data Mining and Applications (ADMA 2008)

An  Algorithm  for  Classifying  Articles  and  Patent  Documents  Using  Link  Structure. Kishore Varma, Pranav Mirakjar and Ashish Sureka. Ninth International Conference on Web-Age Information Management (WAIM 2008)

Mining  Automotive  Warranty  Claims  Data  for  Effective  Root  Cause  Analysis,  Ashish Sureka, Sudripto De and  Kishore Varma, International Conference on Database Systems for Advanced Applications (DASFAA 2008)

 

A Generic Software Architecture of a Text Processing System for Analyzing Product Warranty Claims Data, Ashish Sureka, Sudripto De and Kishore Varma, ACM Compute International Conference (COMPUTE 2008)

 

Similarity Analysis of Patent Claims Using Natural Language Processing Techniques, Kishore Varma, Anurag Ambekar and Ashish Sureka, International Conference on Computational Intelligence and Multimedia Applications (ICCIMA 2007)

 

Using Tabu Best-Response Search to Find Pure Strategy Nash Equilibria in Normal Form Games, Ashish Sureka and Peter R. Wurman, International Joint Conference on Autonomous Agents and Multi-agent Systems (AAMAS 2005).

 

Applying Metaheuristic Techniques to Search the Space of Bidding Strategies in Combinatorial Auctions, Ashish Sureka and Peter R. Wurman, Genetic and Evolutionary Computing Conference (GECCO 2005).

 

An algorithm for computing the outcome of combinatorial auctions with proxy bidding, Peter R. Wurman, Gangshu Cai, Jie Zhong and Ashish Sureka, International Conference on Electronic Commerce (ICEC 2003)

 

Computing the outcome of proxy bidding in combinatorial auctions, Peter R. Wurman, Gangshu Cai and Ashish Sureka,  ACM Conference on Electronic Commerce (ACM-EC 2003)

 

Applying the Generalized Vickrey Auction to Pricing Reliable Multicasts, Ashish Sureka and Peter R. Wurman, International Workshop on Quality of Future Internet Services (QOFIS 2002)

Mining eBay : Bidding Strategies and Shill Detection,  Harshit S. Shah,  Neeraj R. Joshi,  Ashish Sureka and Peter R. Wurman, International Workshop, Mining Web Data for Discovering Usage Patterns and Profiles (WEBKDD 2002)

 

BUSINESS AND INDUSTRY ARTICLES 

A Differentiated Approach to Business Process Automation using Knowledge Engineering, Ashish Sureka and Venugopal Subbarao, Infosys SETLabs Briefings on Knowledge Engineering and Management, Volume 7 Number 5, July 2009.

Towards  a  Web-based  Teleradiology  Marketplace,   Ashish  Sureka  and  Sivaram  Thangam,  Infosys  SETLabs  Briefings Industry Special, Technology for Better Healthcare Delivery, (SETLABS Briefings September 2008)

Business  Intelligence  Techniques  for  Monitoring  and  Improving  Compliance  Management  Process. Arijit Laha, Pradeep Kumar  and  Ashish Sureka.  Infosys  SETLabs  Briefings,  Governance,  Risk  and  Compliance ,  Vol.6  No.3, 2008 (SETLABS Briefings 2008)

Leveraging textual data in insurance claim forms for efficient data analysis, Ashish Sureka, Infosys SETLabs Briefings Special, Insurance: Powering Modernization, (SETLABS Briefings 2007)

 

How to select a good enterprise search engine, Ashish Sureka, Chandra Kallur and Risi Thonangi, Infosys SETLabs Briefings, Enterprise IT Perspectives, Vol.4 No.2, Oct-Dec 2006 (SETLABS Briefings 2006)

 

Integrating Structured and Unstructured Data Using Text Tagging and Annotation, Sreekumar Sukumaran and Ashish Sureka, Business Intelligence Journal from TDWI, The Data Warehousing Institute, Volume 11, Number 2, (TDWI BI Journal 2006)

 

DISSERTATION

Techniques  For  Finding  Nash  Equilibria  In Combinatorial Auctions,  Ashish Sureka,  PhD Dissertation,  Computer Science Department, North Carolina State University, Date of Defense: March 30, 2005.

PhD Advisor : Peter R. Wurman

 

North Carolina State University: List of MAY 14, 2005 Graduates

List of Patenteed to whom patents were issued on 25 March, 2008

NC State University, Department of Computer Science, Best Paper Award News (October 06, 2003)

Trading Agent Competition (TAC) Research Report

NCSU PhD Graduates Directory Listing 

AI Genealogy Project Link

REVIEWER: ACM COMPUTE 2009, AAAI 2004, IHCI 2010

PROGRAM COMMITTEE MEMBER: DEXA 2009, ICISSE 2009, PAKDD 2010, COMPUTE 2010 (also Steering Committee Member)