Difference between revisions of "Ashutosh Jadhav"

Revision as of 15:09, 22 January 2013

Graduate Research Assistant - Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing
Ph.D. Candidate - Computer Science and Engineering Wright State University
Advisor - Dr. Amit Sheth

Kno.e.sis gave me opportunity on various interesting projects and problems. I have contributed in developing a social media analysis and research platform Twitris. My other past projects are Disaster Data Informatics for Situational Awareness and Knowledge Acquisition from Community-Generated Content . In summer 2011, I did research internship at HP Labs, CA. I worked with HP Services Research team on a context-aware computing project. My internship work lead to a patent: 'Context-Aware Information Item Recommendations for Deals'. During internship, I collaborated with Claudio Bartolini (manager) and Hamid Motahari (mentor).

Currently I am working on Social Health Signals project (Computer Science + Social Media + Healthcare). Objective this project is to understand and satisfy users need for keeping track of new information in healthcare and well-being domain. The project harvests collective intelligence to identify high quality, reliable and informative healthcare content shared over social media.

Research Projects

Twitris- social media analysis and research platform

I have been one of the mainstays of the Twitris project at Kno.e.sis. Twitris facilitates understanding of social perceptions using semantic processing of massive amounts of event-centric data. Twitris addresses challenges in large scale processing of social data and information overload in social media. Twitris 2.0 also covers context based semantic integration of multiple Web resources and expose semantically enriched social data to the public domain. Specifically, I contributed to text analysis, information extraction and information integration components of the system. Kno.e.sis won a NFS research grant and patent based on Twitris work. Articles on Twitris has been featured on semanticweb.com, mashable.com etc.

Social Health Signals

Objective this project is to understand and satisfy users need for keeping track of new information in healthcare and well-being domain. The project harvest collective intelligence to identify high quality, reliable and informative healthcare content shared over social media. SHS analyze the act of health information sharing over social media by understanding who (People analysis) share what (Content analysis) when (Temporal analysis) in what context (Semantic analysis) on which channel/website (Reliability analysis) with what social effect (Popularity analysis).

Disaster Data Informatics for Situational Awareness

I have worked on an AFRL funded project to create Geo-Social Mash-up for situational awareness in a disaster response situation. Current objective of this project is to expedite decision-making process in the disaster situation by identifying useful/actionable information from social media.

Knowledge Acquisition from Community-Generated Content

This project aims at generating or extracting a domain model from Wikipedia or other similarly structured knowledge sources. My contribution: I worked on extraction of links (wikipedia links and web URLs) mentioned on whole corpus of Wikipedia articles as a part of Doozer, a tool for automatically creating topic domain model using Wikipedia corpus.

Context-aware Content Recommendation in Enterprise Social Network

Research Internship at HP Services Research Lab, HP Labs, CA
Claudio Bartolini (manager) and Hamid Motahari (mentor)

During internship, I worked with HP Services Research team on a context-aware computing research project. Objective of the project is to expedite Request For Proposal (RFP) response process by making right content recommendation (past deal documents) at right time by using semantic graph based semantic document similarity approach taking into account information about content (current and past deals), enterprise social network and state of enterprise process. My work lead to a HP patent: ‘Context-Aware Information Item Recommendations for Deals’

Publications

Spatio-Temporal-Thematic Analysis of Citizen-Sensor Data - Challenges and Experiences

• Meenakshi Nagarajan, Karthik Gomadam, Amit Sheth, Ajith Ranabahu, Raghava Mutharaju and Ashutosh Jadhav
• Tenth International Conference on Web Information Systems Engineering, Poland Oct 5-7, 2009

Twitris: Socially Influenced Browsing

• Ashutosh Jadhav, Wenbo Wang, Raghava Mutharaju, Pramod Anantharam, Vinh Nguyen, Amit P. Sheth, Karthik Gomadam, Meenakshi Nagarajan, and Ajith Ranabahu
• Semantic Web Challenge 2009, 8th International Semantic Web Conference, Oct. 25-29 2009, Washington, DC, USA

Twitris 2.0: Semantically Empowered System for Understanding Perceptions From Social Data

• Ashutosh Jadhav, Hemant Purohit, Pavan Kapanipathi, Pramod Ananthram, Ajith Ranabahu, Vinh Nguyen, Pablo Mendes, Alan Gary Smith, Michael Cooney, Amit Sheth
• Semantic Web Challenge 2010, 9th International Semantic Web Conference, Shanghai, China, November 7-11, 2010.

Understanding Events Through Analysis Of Social Media

• Amit Sheth, Hemant Purohit, Ashutosh Jadhav, Pavan Kapanipathi and Lu Chen
• Technical Report, Kno.e.sis Center, 2010

Context-Aware Information Item Recommendations for Deals

• Patent filled based on HP summer 2011 internship work
• Ashutosh Jadhav, Hamid Motahari, Susan Spence, Claudio Bartolini

Twitris+: Social Media Analytics Platform for Effective Coordination

• A. Smith, A. Sheth, A. Jadhav, H. Purohit, L. Chen, M. Cooney, P. Kapanipathi, P. Anantharam, P. Koneru and W. Wang.
• NSF SoCS Symposium, 2012

Professional Activities

• External sub-reviewer for World Wide Web 2013, ‘Social Networks and Graph Analysis’ track
• External reviewer for IEEE Internet Computing Magazine
• External reviewer for Semantic Web Journal
• Program chair for Semantic Web in Literature-Based Discovery workshop at IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012)
• Contributed significantly in preparing presentation on Semantic Social Mash-up Approach for Designing Citizen Diplomacy (970 views)
• Actively participated in preparing and coordinating World Wide Web 2011 tutorial on Citizen Sensor Data Mining and Social Media Analytics (3,031 views)
• Twitris media presence
  • SemanticWeb.com (November 8, 2012) Election 2012: The Semantic Recap
  • SemanticWeb.com (August 3, 2012) Picking the President: Twindex, Twitris Track Social Media Electorate
  • Mashable.com (February 17, 2012) Web App Analyzes Tweets in Real Time for a Record of Historic Events
  • SemanticWeb.com (February 10, 2012) Twitris Social Media Analysis Tackles Occupy Wall Street, 2012 Elections

Education and Work Experience

Education

• Ph.D. Candidate, Computer Science and Engineering, Wright State University, 2009 - Present
• M.S., Computer Engineering, Wright State University, November 2008
• B.E., Information Technology, VJTI , Mumbai University , June 2006

Work Experience

• present: Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing, Wright State University -- Graduate Research Assistant (April. 2009 - Present)
• Research Intern, HP Services Research Lab, HP Labs, CA (June 11 – Sept 2011)
• Graduate Teaching Assistant, Computer Science and Engineering Department , Wright State University (Sept 2009 - June 2010)
  • Conducted programming lab sessions to guide undergraduate students for Java programming I & II and also graded programming labs and projects.
• Teaching Assistant and Grader Computer Science and Engineering Department , Wright State University (Fall 2009)
• Intern - Speedway SuperAmerica LLC, Enon, Ohio (June 2008 – Sept 2008)
  • Worked with credit card transaction department on the database transaction integrity project. During the internship, I developed macros in TACL programming language for HP NonStop Servers that are used to handle SSA’s credit card transaction and database integrity.
• Graduate Research Assistant,Data Mining Lab , Wright State University (Jan 2008 - June 2008)
  • Advisor: Prof. Guozhu Dong
  • Played a vital role in enhancing efficiency (speedup) of the meta-search engine by replacing existing linear search with perfect hashing technique for table look-up

Contact Information

• Ashutosh Jadhav
  • Email: ashutosh@knoesis.org
  • 380, Joshi Research Center, Wright State University, 3640 Colonel Glenn Hwy, Dayton, Ohio 45435-0001
  • LinkedIn