Ashutosh Jadhav
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, [1] 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.
