Difference between revisions of "Ashutosh Jadhav"

Revision as of 13:56, 7 October 2014

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 an opportunity to work 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. Based on my internship work HP filed a patent on Context-Aware Information Recommendation. 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

Search Intent Mining

Objective of this project is to identify users’ search intent within a domain by developing a semantic framework leveraging the domain specific background knowledge. We have selected health domain for the evaluation of the framework. We developed a semantic driven intent framework for identification of health seeking intent in agnostic manner. The framework is based on rich background knowledge from UMLS and utilizes UMLS semantic types and concepts for the search intent classification. Using the intent framework and data analysis techniques, we demonstrated that device choice (personal computers: desktop, laptop and smart devices: smartphone, tablets) influences online health information seeking. We are working on integration of this framework at Mayo Clinic for personalized health information intervention and targeted advertisements.

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 based on following analysis: Text Analysis: Structural, syntactic and linguistic analysis; Semantic analysis: Concept identification, annotation using UMLS and Wikipedia; Reliability analysis: Website (from the message) credibility based on Google PageRank; Popularity (social engagement) Analysis: Twitter (tweets, retweets), Facebook (like, share, comment), Google plus (share, +1) for the message

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 coordinated the development, analysis and UI design for Twitris and Twitris 2.0. I contributed to text analysis, information extraction and information integration components of the system. Kno.e.sis won a NFS research grant and filed a patent based on the Twitris work. Articles on Twitris has been featured on semanticweb.com, mashable.com etc.

Disaster Data Informatics for Situational Awareness

I lead the research, design and development of Air Force Research Lab (AFRL) funded project to create Geo-Social mash-up for situational awareness in a disaster response situation. The objective of this project was to expedite decision-making process in the disaster situation by identifying location-based 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)

(Due to confidentiality reasons, limited information is provided)
During internship, I worked with HP Services Research team on a context-aware computing research project titled ‘Context-aware content recommendation in enterprise social network’. Objective of the project is to expedite Request For Proposal (RFP) response process by making right content recommendation (past deal documents) at right time. We developed a document recommender system using semantic document similarity approach taking into account information about content (current and past documents), enterprise social network (people and their role) and different stages of enterprise RFP process.

Based on my internship work, HP Labs filed a patent (83138852) on Context-Aware Deal Recommendations with myself being primary inventor.

Technical Skills

• Programming Languages: JAVA, C, PHP, HTML, XML, Scheme
• DBMS  : MySQL, MS Access, Virtuoso triple store
• Semantic Web  : OWL, RDF, SPARQL
• Tools  : Weka, Protege
• Operating Systems  : Mac OS, Linux, MS Windows

Publications

• Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal
  • Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak
  • AMIA Annual Symposium 2014, Washington DC, November 15-19, 2014

• Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal
  • Ashutosh Jadhav, Donna Andrews, Alexander S. Fiksdal, Ashok Kumbamu, Jennifer B. McCormick, Andrew Misitano, Laurie A. Nelsen, Euijing Ryu, Amit Sheth, Stephen Wu, Jyotishman Pathak
  • Journal of Medical Internet Research (Impact factor 4.7) Link to Journal Paper

• Evaluating the Process of Online Health Information Searching: A Qualitative Approach to Exploring Consumer Perspectives
  • Alexander S. Fiksdal, Ashok Kumbamu, Ashutosh Jadhav, Laurie A. Nelsen, Jyotishman Pathak, Jennifer B. McCormick
  • Journal of Medical Internet Research (Impact factor 4.7) to Journal Paper

• Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic
  • Ashutosh Jadhav, Stephen Wu, Amit Sheth, Jyotishman Pathak
  • 25th European Medical Informatics Conference (MIE 2014), Istanbul, Turkey, August 31 - Sept 3, 2014

• Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, Pitfalls, and Use Cases
  • Maryam Panahiazar, Vahid Taslimi, Ashutosh Jadhav, Amit Sheth, and Jyotishman Pathak
  • IEEE International Conference on Big Data (IEEE BigData 2014), October 27-30, 2014, Washington DC, USA

• Comparative Analysis of Online Health Information Search by Device Type
  • Ashutosh Jadhav, Jyotishman Pathak
  • American Medical Informatics Association AMIA, TBI/CRI Joint Summit, San Francisco, USA, April 7-11, 2014

• An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases
  • Ashutosh Jadhav, Amit Sheth, Jyotishman Pathak
  • AMIA Annual Symposium 2014, Washington DC, November 15-19, 2014

• What Information about Cardiovascular Diseases do People Search Online?
  • Ashutosh Jadhav, Stephen Wu, Amit Sheth, Jyotishman Pathak
  • 25th European Medical Informatics Conference (MIE 2014), Istanbul, Turkey, August 31 - Sept 3, 2014

• Twitris- a System for Collective Social Intelligence
  • Amit Sheth, Ashutosh Jadhav, Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang
  • Springer, Encyclopedia of Social Network Analysis and Mining (ESNAM), 2014

• 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.

• 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

• 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

• HP patent on Context-Aware Information Recommendation, filed in January 2013
  • 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 Committee member 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

Curriculum Vitae (CV)