Difference between revisions of "Ashutosh Jadhav"

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Graduate Research Assistant - [http://knoesis.wright.edu/ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing]
 
Graduate Research Assistant - [http://knoesis.wright.edu/ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing]
 
<br/>
 
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Ph.D. Candidate - Computer Science and Engineering [http://wright.edu Wright State University] <br/>
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Ph.D. Candidate - Computer Science and Engineering Department, [http://wright.edu Wright State University] <br/>
 
Advisor - [http://knoesis.wright.edu/amit/ Dr. Amit Sheth] <br/>
 
Advisor - [http://knoesis.wright.edu/amit/ Dr. Amit Sheth] <br/>
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[https://www.linkedin.com/in/ashutoshjadhav LinkedIn profile]<br/>  
 
[https://www.linkedin.com/in/ashutoshjadhav LinkedIn profile]<br/>  
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[https://scholar.google.com/citations?user=dLePaxAAAAAJ&hl=en Google Scholar]<br/>
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[http://www.ncbi.nlm.nih.gov/myncbi/browse/collection/46648944/?sort=date&direction=descending Bibliography on NCBI PubMed]
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'''Research interest:''' Search Intent Mining, Social Media Analytics, Health Informatics, Text Analytics, Semantic Web, Search Log Analysis, Knowledge Extraction and Utilization, Applied Machine Learning
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<br/>
 
=Education and Work Experience =
 
=Education and Work Experience =
  
 
==Education==
 
==Education==
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* Ph.D. Candidate, Computer Science and Engineering, [http://www.wright.edu/ Wright State University], 2009 - Present
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* Ph.D. Candidate, Computer Science and Engineering, [http://www.wright.edu/ Wright State University], April 2009 - Apr 2016
 +
** Dissertation Title: Knowledge Driven Search Intent Mining
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**<strong>Big Data & Smart Data Science Certification</strong> from Computer Science Department, Wright State University, Dayton, OH, May 2015
  
 
* M.S., Computer Engineering, [http://www.wright.edu/ Wright State University], November 2008
 
* M.S., Computer Engineering, [http://www.wright.edu/ Wright State University], November 2008
  
 
* B.E., Information Technology, [http://www.vjti.ac.in/ VJTI ], [http://www.mu.ac.in/ Mumbai University] , June 2006
 
* B.E., Information Technology, [http://www.vjti.ac.in/ VJTI ], [http://www.mu.ac.in/ Mumbai University] , June 2006
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 +
<br/>
  
 
==Work Experience==
 
==Work Experience==
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* ''present'' <strong>Graduate Research Assistant</strong> at [http://knoesis.wright.edu/ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing], [http://www.wright.edu/ Wright State University]  (April. 2009 - Present)
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*<strong>Graduate Research Assistant</strong> at [http://knoesis.wright.edu/ Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing], [http://www.wright.edu/ Wright State University]  (April. 2009 - Present)
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**Develop research, problem-solving and analytical skills, learning ‘how to learn’ while working on collaborative, multidisciplinary projects and real world research problems
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**Develop research, problem-solving and analytical skills, learning ‘how to learn’ while working on collaborative, multidisciplinary projects, and real world research problems
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** Projects: Semantic intent mining for health search, Social Health Signals, Twitris  
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** Projects: Search Intent Mining, Semantic Query expansion, Social Health Signals and Twitris
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**Advisor [http://knoesis.org/amit/ Prof.Amit Sheth]
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**Advisor: [http://knoesis.org/amit/ Prof.Amit Sheth]
  
 
*<strong>Research Intern</strong>, Health Science Research, Mayo Clinic, Rochester, MN (May 2013 - May 2014)
 
*<strong>Research Intern</strong>, Health Science Research, Mayo Clinic, Rochester, MN (May 2013 - May 2014)
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** 1) Developed a consumer-centric health categorization framework using Semantic Web techniques 2) Semantic Intent mining for health search, based on rich knowledge from UMLS and novel approach for semantic similarity computation 3) Qualitative analysis of online health information seeking using data science techniques
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** 1) Semantic intent mining for health search queries based on rich knowledge from biomedical domain and Wikipedia 2) Big data analysis of over 100 million search queries from desktop and smart devices using data science techniques.
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** Mentor [http://www.mayo.edu/research/faculty/pathak-jyotishman-ph-d/bio-00096089 Dr.Jyotishman Pathak]
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** Mentor: [http://www.mayo.edu/research/faculty/pathak-jyotishman-ph-d/bio-00096089 Dr.Jyotishman Pathak]
  
 
*<strong>Research Intern</strong>, [http://www.hpl.hp.com/research/services.html HP Services Research] Lab, [http://www.hpl.hp.com/ HP Labs, CA] (June 11 – Sept 2011)
 
*<strong>Research Intern</strong>, [http://www.hpl.hp.com/research/services.html HP Services Research] Lab, [http://www.hpl.hp.com/ HP Labs, CA] (June 11 – Sept 2011)
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**Developed semantic recommendation system leveraging content semantics to expedite enterprise Request for Proposal (RFP) response process.
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**Developed recommendation system leveraging content semantics to expedite enterprise Request for Proposal (RFP) response process.  
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** Mentor [http://researcher.watson.ibm.com/researcher/view.php?person=us-motahari Dr.Hamid Motahari] Manager [https://www.linkedin.com/in/claudiobartolini Dr.Claudio Bartolini]  
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** Mentor: [http://researcher.watson.ibm.com/researcher/view.php?person=us-motahari Dr.Hamid Motahari] Manager: [https://www.linkedin.com/in/claudiobartolini Dr.Claudio Bartolini]  
  
 
*<strong>Graduate Teaching Assistant</strong>, [http://cecs.wright.edu/ Computer Science and Engineering Department], [http://www.wright.edu/ Wright State University] (Sept 2009 - June 2010)
 
*<strong>Graduate Teaching Assistant</strong>, [http://cecs.wright.edu/ Computer Science and Engineering Department], [http://www.wright.edu/ Wright State University] (Sept 2009 - June 2010)
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**Conducted programming lab sessions to guide undergraduate students for Java programming I & II and also graded programming labs and projects.
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**Conducted programming lab sessions to guide computer science undergrads in Java programming and graded programming labs assignments and projects.  
  
 
*<strong>Teaching Assistant and Grader</strong>, [http://cecs.wright.edu/ Computer Science and Engineering Department], [http://www.wright.edu/ Wright State University]  (Fall 2009)
 
*<strong>Teaching Assistant and Grader</strong>, [http://cecs.wright.edu/ Computer Science and Engineering Department], [http://www.wright.edu/ Wright State University]  (Fall 2009)
  
 
*<strong> Software Developer Intern</strong>, [https://www.speedway.com/Pages/default.aspx Speedway SuperAmerica LLC], Enon, Ohio (June 2008 – Sept 2008)
 
*<strong> Software Developer Intern</strong>, [https://www.speedway.com/Pages/default.aspx Speedway SuperAmerica LLC], Enon, Ohio (June 2008 – Sept 2008)
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**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.
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**Worked with credit card transaction department on a database transaction integrity project involving the implementation of scripts to automatic verification and integrity/quality checks.  
  
 
*<strong>Graduate Research Assistant</strong>, [http://www.cs.wright.edu/~gdong/DMRL_HOME/ Data Mining Lab], [http://www.wright.edu/ Wright State University] (Jan 2008 - June 2008)  
 
*<strong>Graduate Research Assistant</strong>, [http://www.cs.wright.edu/~gdong/DMRL_HOME/ Data Mining Lab], [http://www.wright.edu/ Wright State University] (Jan 2008 - June 2008)  
 
** Advisor: [http://www.cs.wright.edu/~gdong/ Prof. Guozhu Dong]
 
** Advisor: [http://www.cs.wright.edu/~gdong/ Prof. Guozhu Dong]
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**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
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**Worked on efficiency (speedup) enhancement of a meta-search engine using Information Retrieval techniques
 
<br/>
 
<br/>
  
 
=Research Projects=
 
=Research Projects=
  
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==Search Intent Mining==
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==Knowledge Driven Search Intent Mining==  
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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.  
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*<strong>Motivation</strong>
 +
**Understanding intent from search queries is crucial for designing an intelligent search engine. The objective of this project is to identify health information seeking intent from queries.
 +
*<strong>Approach</strong>
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**First, we conducted three qualitative focus group studies to get users’ perspective on online health information seeking. Second, I formalized 14 consumer-oriented health search intent classes based on inputs from focus group studies and based on analysis of popular health websites, literature survey, and empirical study.
 +
**Finally, I developed a semantic-driven intent framework for the identification of health seeking intent in disease agnostic manner. The framework is based on rich background knowledge from biomedical domain and Wikipedia. While solving this problem, we  
 +
***Addressed medical concept identification challenge using advanced text analytics techniques like word sense disambiguation and term processing
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***Developed a scalable MetaMap framework using Big Data technologies such as Hadoop-MapReduce to process millions of search queries efficiently
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***Constructed a consumer health vocabulary that maps laymen terms to medical terms  by parsing health-related Wikipedia articles
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 +
*<strong>Real World Application</strong>
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**This framework will be integrated at Mayo Clinic to create user interest profiles based on their search history. The user profiling will be further used for personalized health information intervention, content recommendation, and targeted advertisements
 +
 
 +
==Semantic Query Expansion==
 +
[[File:SemanticQueryExpansion.png|350px|thumb|right]]
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*<strong>Motivation</strong>
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**The first step in search query processing is to understand user’s information need from the submitted search query and reformulating a seed query to improve retrieval performance (Query Expansion).
 +
**Multiple IR studies have shown that a search engine’s performance degrades with an increase in the complexity of the search query. 
 +
*<strong>Approach</strong>
 +
**In this project, I am specifically focusing on semantic expansion of complex health search queries (queries with multiple health concepts).
 +
**I have used hyponymy and hypernymy relationships between health concepts to expand complex health search queries. 
 +
**I am extending current query expansion approaches by leveraging:
 +
***Health domain semantics,
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***Consumer health vocabulary,
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***UMLS concept hierarchy, and
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***Semantic similarity between health concepts (hyponymy and hypernymy).
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** Examples
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***[https://www.google.com/search?q=Fosamax+with+red+wine&oq=Fosamax+with+red+wine&aqs=chrome..69i57.630j0j1&sourceid=chrome&es_sm=119&ie=UTF-8 Fosamax with red wine] (original search query) => [https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&es_th=1&ie=UTF-8#q=Fosamax+wine Fosamax wine] or [https://www.google.com/webhp?sourceid=chrome-instant&ion=1&espv=2&es_th=1&ie=UTF-8#q=Fosamax+alcohol  Fosamax alcohol]
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***heartburn in third trimester (original query)  => heartburn pregnancy, acid reflux third trimester, etc.
  
 
==Social Health Signals==
 
==Social Health Signals==
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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
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[[File:SocialHealthSignals_2.png|350px|thumb|right| Social Health Signals]]
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*<strong>Objective</strong>
 +
**The objective of this project is to understand and satisfy users’ need for keeping track of new information in the healthcare and well-being domain.  
 +
**The project harvests collective intelligence to aggregate high quality, reliable, and informative healthcare content shared over social media on one platform, Social Health Signals (SHS).
  
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== [http://twitris.knoesis.org/ Twitris]- social media analysis and research platform ==
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*<strong>Approach</strong>
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I have been one of the mainstays of the Twitris project at Kno.e.sis. Twitris facilitates understanding of social perceptions using semantic
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**We utilized a hybrid approach based on rule-based filtering and supervised Machine Learning classification to facilitate identifying informative health-related information.  
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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. Following are some of the articles on Twitris featured on news media
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*SemanticWeb.com (November 8, 2012) [http://semanticweb.com/election-2012-the-semantic-recap_b33278 Election 2012: The Semantic Recap ]
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*<strong>Tool capabilities</strong>
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*SemanticWeb.com (August 3, 2012) [http://semanticweb.com/picking-the-president-twindex-twitris-track-social-media-electorate_b31249 Picking the President: Twindex, Twitris Track Social Media Electorate]
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**Retrieve relevant and reliable health information shared on Twitter in real-time.  
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*Mashable.com (February 17, 2012) [http://mashable.com/2012/02/17/twitris/ Web App Analyzes Tweets in Real Time for a Record of Historic Events]
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**Question answering on Twitter data.  
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*SemanticWeb.com (February 10, 2012) [http://semanticweb.com/twitris-social-media-analysis-tackles-occupy-wall-street-2012-elections_b26596 Twitris Social Media Analysis Tackles Occupy Wall Street, 2012 Elections ]
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**Rank results based on relevancy, popularity and reliability.  
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**Efficient browsing of the results by semantically categorizing the information into health categories such as symptom, food and diet, healthy living, and prevention.
  
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==Disaster Data Informatics for Situational Awareness==
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==[http://wiki.knoesis.org/index.php/Twitris Twitris- Social Media Analytics and Research Platform], [http://twitris.knoesis.org/ Demo]==
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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.
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[[File:Twitris_Depression_use_case.png|350px|thumb|right|Twitris in action for depression use-case]]
  
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==[http://www.knoesis.org/research/semweb/projects/knowledge-extraction Knowledge Acquisition from Community-Generated Content]==
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*<strong>Objective</strong>
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**Twitris addresses information overload problem in social media by analyzing of large-scale social data and facilitates understanding of the social media content.
  
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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 [http://knoesis-hpco.cs.wright.edu/DoozerServlet/ Doozer], a tool for automatically creating topic domain model using Wikipedia corpus.
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*<strong>Tool capabilities</strong>
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**Twitris uses state-of-the-art technologies to
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***Process real-time large scale social media streams,
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***Extract meaningful signals from noisy social media data,
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***Semantically integrate multiple complimentary web resources such as images, news, videos, and Wikipedia articles,
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***Provide actionable insights, and
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***Visualize processed information in Spatio-Temporal-Thematic, People-Content-Network and Sentiment-Emotion-Intent dimensions.
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*<strong>My Role</strong>
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**I coordinated the development, analysis, and UI design for Twitris and Twitris 2.0. I contributed to the text analysis, information extraction, and information integration components of the system.
 +
 
 +
*<strong>Real World Application</strong>
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**Twitris system has been used in multiple real world scenarios such as brand tracking (e.g. Apple, Macy’s), review monitoring (e.g. iPhone, movies), public event monitoring (e.g. US presidential election, state fairs), disaster situations (e.g. Japan earthquake) and health monitoring (e.g. swine flu, depression).
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 +
 
 +
*Following are some of the articles on Twitris featured on news media
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**SemanticWeb.com (November 8, 2012) [http://semanticweb.com/election-2012-the-semantic-recap_b33278 Election 2012: The Semantic Recap ]
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**SemanticWeb.com (August 3, 2012) [http://semanticweb.com/picking-the-president-twindex-twitris-track-social-media-electorate_b31249 Picking the President: Twindex, Twitris Track Social Media Electorate]
 +
**Mashable.com (February 17, 2012) [http://mashable.com/2012/02/17/twitris/ Web App Analyzes Tweets in Real Time for a Record of Historic Events]
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**SemanticWeb.com (February 10, 2012) [http://semanticweb.com/twitris-social-media-analysis-tackles-occupy-wall-street-2012-elections_b26596 Twitris Social Media Analysis Tackles Occupy Wall Street, 2012 Elections ]
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<br/>
 +
 
 +
==Device Effect on Online Information Seeking==
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*<strong>Motivation</strong>
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**Personal computers (desktops, laptops) and smart devices (smartphones, tablets) have distinct characteristics in terms of readability, user experience, accessibility, etc.
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**As search traffic from smart devices is exponentially increasing, it is critical to understand the effects of the device used for online information seeking.
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**Such knowledge can be applied to improve the search experience and to develop more advanced next-generation knowledge and content delivery systems.
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 +
*<strong>Approach</strong>
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**I used data science techniques to perform comparative analysis (such as structural, linguistic, textual and semantics analysis) of large-scale (more than 100 millions) health search queries submitted through Web search engines from both types of devices.
  
 
==Context-aware Content Recommendation in Enterprise Social Network==
 
==Context-aware Content Recommendation in Enterprise Social Network==
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Research Internship at [http://www.hpl.hp.com/research/services.html HP Services Research] Lab, [http://www.hpl.hp.com/ HP Labs, CA] <br/> [http://www.hpl.hp.com/personal/Claudio_Bartolini/ Claudio Bartolini] (manager) and [http://www.hpl.hp.com/people/hamid-reza_motahari-nezhad/ Hamid Motahari] (mentor)<br/><br/>
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Research Internship at [http://www.hpl.hp.com/research/services.html HP Services Research] Lab, [http://www.hpl.hp.com/ HP Labs, CA] <br/> [http://www.hpl.hp.com/personal/Claudio_Bartolini/ Claudio Bartolini] (manager) and [http://www.hpl.hp.com/people/hamid-reza_motahari-nezhad/ Hamid Motahari] (mentor)<br/>
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''(Due to confidentiality reasons, limited information is provided)''<br/>
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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.
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*<strong>Objective</strong>
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**During my HP Labs internship, I worked on the ‘Semantic RFP Recommendation’ to expedite the Request for Proposal (RFP) response process at HP by making the right recommendations (past RFP and deal documents) at the right time.
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*<strong>Approach</strong>
 +
**I developed a recommender system using a semantic document similarity approach leveraging information about content (current and past documents), enterprise social networks (people and their roles), and stages of the RFP.
 +
 
 +
Based on my internship work, HP Labs filed a patent (83138852) on Context-Aware Deal Recommendations with myself being primary inventor.
 +
 
 +
==Disaster Situation Awareness based on Social Media Analysis==
 +
*<strong>Objective</strong>
 +
**The objective of this project was to expedite the decision-making process in disaster situations by identifying location-based, actionable information from social media.
 +
*<strong>My Role</strong>
 +
**I lead the research, design, and development for the project (funded by the Air Force Research Lab (AFRL)) to create a geo-social mash-up for situational awareness in a disaster situation based on social media data analysis.
 +
 
 +
 
 +
==[http://www.knoesis.org/research/semweb/projects/knowledge-extraction Wikipedia Knowledge Extraction]==
 +
*<strong>Objective</strong>
 +
**This project aimed to generate a topic-specific domain model based on information available from Wikipedia.
 +
*<strong>My Role</strong>
 +
**I worked on the extraction of web-links (Wikipedia links and web URLs) mentioned on the whole corpus of Wikipedia articles as a part of [http://knoesis-hpco.cs.wright.edu/DoozerServlet/ Doozer], a tool for automatically creating a topic-specific domain model using curated knowledge from Wikipedia.  
  
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Based on my internship work, HP Labs filed a patent (83138852) on Context-Aware Deal Recommendations with myself being primary inventor. 
 
  
 
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=Technical Skills=
 
=Technical Skills=
  
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* <strong>Programming</strong>: Java, PHP, Hadoop, MapReduce HTML, XML, Scheme
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* <strong>Programming</strong>:               Java, PHP, HTML, XML, Shell scripting
  
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* <strong>Databases</strong>: MySQL, MS Access, Virtuoso triple store
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* <strong>Big Data Technologies</strong>: Hadoop, MapReduce, Apache Storm, Spark
  
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* <strong>Semantic Web</strong>: OWL, RDF, SPARQL
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* <strong>Databases</strong>:                     MySQL, MS Access, Virtuoso triple store
  
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* <strong>Research Tools</strong>: Weka, Protege
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* <strong>Semantic Web</strong>:              OWL, RDF, SPARQL
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 +
* <strong>Research Tools</strong>:             Weka, Protege, Lucene, UMLS MetaMap, Google Analytics, IBM NetInsight
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 +
* <strong>Operating Systems</strong>:        Mac OS, Linux, MS Windows
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 +
 
 +
<strong>Big Data & Smart Data Science Certification</strong> from Computer Science Department, Wright State University, Dayton, OH
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*To manage and analyze Big Data and to create Smart Data enabled applications for enterprises and individuals.
  
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* <strong>Operating Systems</strong>: Mac OS, Linux, MS Windows
 
 
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<br/>
  
 
=Publications=
 
=Publications=
  
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[https://scholar.google.com/citations?user=dLePaxAAAAAJ&hl=en Google Scholar]     [http://www.ncbi.nlm.nih.gov/myncbi/browse/collection/46648944/?sort=date&direction=descending Bibliography on NCBI PubMed]
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[https://scholar.google.com/citations?user=dLePaxAAAAAJ&hl=en Google Scholar] citation count: 165+ 
  
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*[http://www.knoesis.org/library/resource.php?id=2002 Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal]
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==Journal Papers and Book Chapters==
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**'''Ashutosh Jadhav''', Amit Sheth, Jyotishman Pathak
+
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**AMIA Annual Symposium 2014, Washington DC, November 15-19, 2014
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*[http://www.knoesis.org/library/resource.php?id=1998 Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal]
 
*[http://www.knoesis.org/library/resource.php?id=1998 Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal]
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** Journal of Medical Internet Research (Impact factor 4.7) [http://www.jmir.org/2014/9/e224/ Link to Journal Paper]
 
** Journal of Medical Internet Research (Impact factor 4.7) [http://www.jmir.org/2014/9/e224/ Link to Journal Paper]
  
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*[http://www.knoesis.org/library/resource.php?id=1999 Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic]
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*[http://www.knoesis.org/library/resource.php?id=1918 Twitris- a System for Collective Social Intelligence]
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**'''Ashutosh Jadhav''', Stephen Wu, Amit Sheth, Jyotishman Pathak
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**Amit Sheth, '''Ashutosh Jadhav''', Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang
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**25th European Medical Informatics Conference (MIE 2014), Istanbul, Turkey, August 31 - Sept 3, 2014
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** Springer, Encyclopedia of Social Network Analysis and Mining (ESNAM), 2014
  
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*Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, Pitfalls, and Use Cases
 
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**Maryam Panahiazar, Vahid Taslimi, '''Ashutosh Jadhav''', Amit Sheth, and Jyotishman Pathak
 
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**IEEE International Conference on Big Data (IEEE BigData 2014), October 27-30, 2014, Washington DC, USA
 
  
−
*[http://www.knoesis.org/library/resource.php?id=2001 Comparative Analysis of Online Health Information Search by Device Type]
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==Conference Papers==
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**'''Ashutosh Jadhav''', Jyotishman Pathak
+
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** American Medical Informatics Association AMIA, TBI/CRI Joint Summit, San Francisco, USA, April 7-11, 2014
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*[http://www.knoesis.org/library/resource.php?id=2003 An Analysis of Mayo Clinic Search Query Logs for Cardiovascular Diseases]
+
*[http://www.knoesis.org/library/resource.php?id=2226 Analysis of Online Information Searching for Cardiovascular Diseases on a Consumer Health Information Portal]
 
**'''Ashutosh Jadhav''', Amit Sheth, Jyotishman Pathak
 
**'''Ashutosh Jadhav''', Amit Sheth, Jyotishman Pathak
 
**AMIA Annual Symposium 2014, Washington DC, November 15-19, 2014
 
**AMIA Annual Symposium 2014, Washington DC, November 15-19, 2014
  
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*[http://www.knoesis.org/library/resource.php?id=2000 What Information about Cardiovascular Diseases do People Search Online?]
+
*[http://www.knoesis.org/library/resource.php?id=1999 Online Information Seeking for Cardiovascular Diseases: A Case Study from Mayo Clinic]
 
**'''Ashutosh Jadhav''', Stephen Wu, Amit Sheth, Jyotishman Pathak
 
**'''Ashutosh Jadhav''', Stephen Wu, Amit Sheth, Jyotishman Pathak
 
**25th European Medical Informatics Conference (MIE 2014), Istanbul, Turkey, August 31 - Sept 3, 2014
 
**25th European Medical Informatics Conference (MIE 2014), Istanbul, Turkey, August 31 - Sept 3, 2014
  
−
*[http://www.knoesis.org/library/resource.php?id=1918 Twitris- a System for Collective Social Intelligence]
+
*[http://www.ncbi.nlm.nih.gov/pubmed/25705726 Empowering Personalized Medicine with Big Data and Semantic Web Technology: Promises, Challenges, Pitfalls, and Use Cases]  
−
**Amit Sheth, '''Ashutosh Jadhav''', Pavan Kapanipathi, Chen Lu, Hemant Purohit, Gary Alan Smith, Wenbo Wang
+
**Maryam Panahiazar, Vahid Taslimi, '''Ashutosh Jadhav''', and Jyotishman Pathak
−
** Springer, Encyclopedia of Social Network Analysis and Mining (ESNAM), 2014
+
**IEEE International Conference on Big Data (IEEE BigData 2014), October 27-30, 2014, Washington DC, USA
  
 
*[http://knoesis.org/library/resource.php?id=717 Twitris: Socially Influenced Browsing ]
 
*[http://knoesis.org/library/resource.php?id=717 Twitris: Socially Influenced Browsing ]
Line 148: Line 232:
 
**Technical Report, Kno.e.sis Center, 2010
 
**Technical Report, Kno.e.sis Center, 2010
  
−
*HP patent on Context-Aware Information Recommendation, filed in January 2013
+
==Posters==
−
**Patent filled based on HP summer 2011 internship work
+
 
−
**'''Ashutosh Jadhav''', Hamid Motahari, Susan Spence, Claudio Bartolini
+
*[http://www.knoesis.org/library/resource.php?id=2001 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
 +
 
 +
*[http://www.knoesis.org/library/resource.php?id=2003 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
 +
 
 +
*[http://www.knoesis.org/library/resource.php?id=2192 Social Health Signals]
 +
**'''Ashutosh Jadhav''', Swapnil Soni, Amit Sheth
 +
**Kno.e.sis Center, Technical Report, 2015
 +
 
 +
*[http://www.knoesis.org/library/resource.php?id=2000 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
  
 
*[http://knoesis.org/library/resource.php?id=1748 Twitris+: Social Media Analytics Platform for Effective Coordination ]  
 
*[http://knoesis.org/library/resource.php?id=1748 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.
 
**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
+
**National Science Foundation (NSF) SoCS Symposium, 2012
 +
 
 +
==US Patent==
 +
*Context-Aware Information Recommendation, filed in January 2013 by HP Labs
 +
**Patent filled based on HP summer 2011 internship work
 +
**'''Ashutosh Jadhav''', Hamid Motahari, Susan Spence, Claudio Bartolini ('''Role: Primary Inventor''')
 
<br/>
 
<br/>
  
 
= Research Grants and Proposals =  
 
= Research Grants and Proposals =  
  
−
''<strong>( significant contribution) </strong>''
+
''<strong>(Significant contribution) </strong>''
  
−
 
+
*<strong>NIH-R01</strong> proposal (Award Amount: $1,934,525)
−
*<strong>NIH-R01</strong> proposal (in resubmission)
+
**[http://wiki.knoesis.org/index.php/Modeling_Social_Behavior_for_Healthcare_Utilization_in_Depression Modeling Social Behavior for Healthcare Utilization and Outcomes in Depression]
−
 
+
**In collaboration with Mayo Clinic and partly based on my Mayo Clinic internship work
−
** Modeling Social Behavior for Healthcare Utilization and Outcomes in Depression
+
−
** In collaboration with Mayo Clinic and partly based on my Mayo Clinic internship work
+
  
  
 
*<strong>Air Force Research Lab (AFRL)</strong> proposals
 
*<strong>Air Force Research Lab (AFRL)</strong> proposals
−
 
 
**SIDFOT (Sensors Integration for Data Fusion in Operations and Training) project
 
**SIDFOT (Sensors Integration for Data Fusion in Operations and Training) project
 
***Title: Geo-Social mash-up for situational awareness in a disaster response situation
 
***Title: Geo-Social mash-up for situational awareness in a disaster response situation
 
***Funded project: 2010-2011, Real-time Twitris
 
***Funded project: 2010-2011, Real-time Twitris
−
 
 
**Information Operations/Cyber Exploitation Research (ICER) Program, City Beat
 
**Information Operations/Cyber Exploitation Research (ICER) Program, City Beat
 
***Title: Social media analysis for situational awareness
 
***Title: Social media analysis for situational awareness
 
***Funded project:  2011-2012
 
***Funded project:  2011-2012
−
 
 
**WBI's Tec^Edge Innovation and Collaboration Center (Tec^Edge ICC)
 
**WBI's Tec^Edge Innovation and Collaboration Center (Tec^Edge ICC)
 
***Funded project: Summer 2010, Summer 2011
 
***Funded project: Summer 2010, Summer 2011
  
  
−
*<strong>Mayo Clinic Meritorious Award</strong>
+
*<strong>Mayo Clinic Meritorious Awards</strong>
 
**Healthcare trend surveillance using social networks and health search queries (funded 2013)
 
**Healthcare trend surveillance using social networks and health search queries (funded 2013)
 
**What makes a health-related tweet informative – patients’ perspective (funded 2014)
 
**What makes a health-related tweet informative – patients’ perspective (funded 2014)
Line 210: Line 308:
  
 
= Mentorship =
 
= Mentorship =
 +
*[http://knoesis.org/resources/researchers/amir/index.html Amir Hossein Yazdavar]
 +
**Computer Science Ph.D.
 +
** Topics related to Modeling Social Behavior for Depression (focus Twitter dataset)
 +
** July 2015 - Present
 +
 +
*SoonJye Kho
 +
**Visiting Research Scholar
 +
** Topics related to Modeling Social Behavior for Depression (focus Twitter dataset)
 +
** July 2015 - Present
  
 
* [http://knoesis.wright.edu/researchers/swapnil/ Swapnil Soni]
 
* [http://knoesis.wright.edu/researchers/swapnil/ Swapnil Soni]
 
**Computer Science Masters
 
**Computer Science Masters
−
**Thesis on topic related to Social Health Signals (Title: Domain Specific Document Retrieval Framework for Near Real-time Social Health Data)
+
**Thesis on topic related to Social Health Signals (Title: [http://wiki.knoesis.org/index.php/Swapnil_Soni_Thesis Domain Specific Document Retrieval Framework for Near Real-time Social Health Data])
−
**Jan. 2013– May 2015
+
**Jan. 2013– Present
  
 
*[http://knoesis.org/researchers/Nishita/ Nishita Jaykumar]
 
*[http://knoesis.org/researchers/Nishita/ Nishita Jaykumar]
Line 231: Line 338:
 
**2010 – 2011
 
**2010 – 2011
 
<br/>
 
<br/>
−
+
 
 
= Professional Activities =
 
= Professional Activities =
  
−
*Student Research Consortium Chair at 11th International Conference on Data Integration in the Life Sciences 2015 (DILS2015)
+
*[http://www.isi.edu/events/dils2015/graduate_student_research_consortium Student Research Consortium Chair] at [http://www.isi.edu/events/dils2015/home 11th International Conference on Data Integration in the Life Sciences 2015 (DILS2015)]
  
−
*Reviewer AMIA Annual Symposium 2015
+
*Reviewer AMIA Annual Symposium 2014, 2015, 2016
  
 
*Subreviewer for ICWSM 2011, 2012, 2013, 2014, 2015
 
*Subreviewer for ICWSM 2011, 2012, 2013, 2014, 2015
Line 251: Line 358:
 
= Selected Presentations and Talks =
 
= Selected Presentations and Talks =
  
−
*[http://www.slideshare.net/ashutosh121/disaster-data-informatics-for-situation-awareness Disaster data informatics for situation awareness] (927 slideshare views)
+
*Consumer-centric Health Informatics and Social Media Analytics, Mayo Clinic, Rochester, MN, USA, May 2015
  
−
*[http://www.slideshare.net/ashutosh121/twitris-web-information-system-2011-course Twitris – System for Understanding Perceptions From Social Data] (388 slideshare views)
+
*[http://www.slideshare.net/ashutosh121/disaster-data-informatics-for-situation-awareness Disaster data informatics for situation awareness] (950+ slideshare views)
  
−
*[http://www.slideshare.net/apsheth/healthcare-innovations-at-knoesis Healthcare innovations at Kno.e.sis] (748 sideshare views)
+
*[http://www.slideshare.net/ashutosh121/twitris-web-information-system-2011-course Twitris – System for Understanding Perceptions From Social Data] (400+ slideshare views)
  
 
*Semantic Analysis of Online Health Information Seeking for Cardiovascular Diseases, AMIA Annual Symposium, Washington DC, USA 2014
 
*Semantic Analysis of Online Health Information Seeking for Cardiovascular Diseases, AMIA Annual Symposium, Washington DC, USA 2014
Line 263: Line 370:
 
*Social Health Data Informatics, [http://www.symplur.com/ Symplur - Connecting the dots in healthcare social media] and [https://www.patientslikeme.com/ PatientsLikeMe]
 
*Social Health Data Informatics, [http://www.symplur.com/ Symplur - Connecting the dots in healthcare social media] and [https://www.patientslikeme.com/ PatientsLikeMe]
  
−
*Context-Aware Content Recommendation In Enterprise Pursuit Process, HP Research Labs, 2011
+
*Context-Aware Content Recommendation In Enterprise Pursuit Process, HP Labs, Palo Alto, CA, USA 2011
 +
 
 +
*Enterprise Social Network: State of the Art, presented at HP Labs, Palo Alto, CA, USA 2011
 +
 
 +
<strong>Contributed significantly in the following presentations</strong>
 +
 
 +
*[http://www.slideshare.net/apsheth/semantic-social-mashup-approach-for-designing-citizen-diplomacy Semantic Social Mash-up Approach for Designing Citizen Diplomacy] (1350+ slideshare views)
 +
*World Wide Web 2011 tutorial on [http://www.slideshare.net/knoesis/citizen-sensor-data-mining-social-media-analytics-and-development-centric-web-applications-7361064 Citizen Sensor Data Mining and Social Media Analytics] (7,200+ slideshare views)
 +
*[http://www.slideshare.net/apsheth/healthcare-innovations-at-knoesis Healthcare innovations at Kno.e.sis] (800+ sideshare views)
  
−
*Enterprise Social Network: State of the Art, presented at HP Research Labs, 2011
 
 
<br/>
 
<br/>
  
Line 273: Line 387:
 
**380 Semantic Web lab, Joshi Research Center, Wright State University, 3640 Colonel Glenn Hwy, Dayton, Ohio 45435-0001
 
**380 Semantic Web lab, Joshi Research Center, Wright State University, 3640 Colonel Glenn Hwy, Dayton, Ohio 45435-0001
 
**[http://www.linkedin.com/in/ashutoshjadhav LinkedIn]
 
**[http://www.linkedin.com/in/ashutoshjadhav LinkedIn]
−
**[https://scholar.google.com/citations?user=dLePaxAAAAAJ&hl=en Google Scholar]
+
 
 +
==[https://www.dropbox.com/s/lrja5o0johoc7fp/Ashutosh%20Jadhav.pdf?dl=0 Ashutosh Jadhav Resume] ==
  
 
<br/>
 
<br/>
  
−
== [https://www.dropbox.com/s/mrvphkuzxohfyqr/Ashu_CV.pdf Curriculum Vitae (CV) ] ==
+
=Research Funding Acknowledgement=
 +
I will like to acknowledge Kno.e.sis Center, National Science Foundation (NSF), National Institutes of Health (NIH), and United States Air Force Research Laboratory (AFRL) for their generous support for my research work.

Latest revision as of 19:27, 13 April 2016

Ashu knoesis.png

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


LinkedIn profile


Research interest: Search Intent Mining, Social Media Analytics, Health Informatics, Text Analytics, Semantic Web, Search Log Analysis, Knowledge Extraction and Utilization, Applied Machine Learning


Education and Work Experience

Education

  • Ph.D. Candidate, Computer Science and Engineering, Wright State University, April 2009 - Apr 2016
    • Dissertation Title: Knowledge Driven Search Intent Mining
    • Big Data & Smart Data Science Certification from Computer Science Department, Wright State University, Dayton, OH, May 2015


Work Experience

  • Research Intern, Health Science Research, Mayo Clinic, Rochester, MN (May 2013 - May 2014)
    • 1) Semantic intent mining for health search queries based on rich knowledge from biomedical domain and Wikipedia 2) Big data analysis of over 100 million search queries from desktop and smart devices using data science techniques.
    • Mentor: Dr.Jyotishman Pathak
  • Software Developer Intern, Speedway SuperAmerica LLC, Enon, Ohio (June 2008 – Sept 2008)
    • Worked with credit card transaction department on a database transaction integrity project involving the implementation of scripts to automatic verification and integrity/quality checks.


Research Projects

Knowledge Driven Search Intent Mining

  • Motivation
    • Understanding intent from search queries is crucial for designing an intelligent search engine. The objective of this project is to identify health information seeking intent from queries.
  • Approach
    • First, we conducted three qualitative focus group studies to get users’ perspective on online health information seeking. Second, I formalized 14 consumer-oriented health search intent classes based on inputs from focus group studies and based on analysis of popular health websites, literature survey, and empirical study.
    • Finally, I developed a semantic-driven intent framework for the identification of health seeking intent in disease agnostic manner. The framework is based on rich background knowledge from biomedical domain and Wikipedia. While solving this problem, we
      • Addressed medical concept identification challenge using advanced text analytics techniques like word sense disambiguation and term processing
      • Developed a scalable MetaMap framework using Big Data technologies such as Hadoop-MapReduce to process millions of search queries efficiently
      • Constructed a consumer health vocabulary that maps laymen terms to medical terms by parsing health-related Wikipedia articles
  • Real World Application
    • This framework will be integrated at Mayo Clinic to create user interest profiles based on their search history. The user profiling will be further used for personalized health information intervention, content recommendation, and targeted advertisements

Semantic Query Expansion

SemanticQueryExpansion.png
  • Motivation
    • The first step in search query processing is to understand user’s information need from the submitted search query and reformulating a seed query to improve retrieval performance (Query Expansion).
    • Multiple IR studies have shown that a search engine’s performance degrades with an increase in the complexity of the search query.
  • Approach
    • In this project, I am specifically focusing on semantic expansion of complex health search queries (queries with multiple health concepts).
    • I have used hyponymy and hypernymy relationships between health concepts to expand complex health search queries.
    • I am extending current query expansion approaches by leveraging:
      • Health domain semantics,
      • Consumer health vocabulary,
      • UMLS concept hierarchy, and
      • Semantic similarity between health concepts (hyponymy and hypernymy).
    • Examples

Social Health Signals

Social Health Signals
  • Objective
    • The objective of this project is to understand and satisfy users’ need for keeping track of new information in the healthcare and well-being domain.
    • The project harvests collective intelligence to aggregate high quality, reliable, and informative healthcare content shared over social media on one platform, Social Health Signals (SHS).
  • Approach
    • We utilized a hybrid approach based on rule-based filtering and supervised Machine Learning classification to facilitate identifying informative health-related information.
  • Tool capabilities
    • Retrieve relevant and reliable health information shared on Twitter in real-time.
    • Question answering on Twitter data.
    • Rank results based on relevancy, popularity and reliability.
    • Efficient browsing of the results by semantically categorizing the information into health categories such as symptom, food and diet, healthy living, and prevention.

Twitris- Social Media Analytics and Research Platform, Demo

Twitris in action for depression use-case
  • Objective
    • Twitris addresses information overload problem in social media by analyzing of large-scale social data and facilitates understanding of the social media content.
  • Tool capabilities
    • Twitris uses state-of-the-art technologies to
      • Process real-time large scale social media streams,
      • Extract meaningful signals from noisy social media data,
      • Semantically integrate multiple complimentary web resources such as images, news, videos, and Wikipedia articles,
      • Provide actionable insights, and
      • Visualize processed information in Spatio-Temporal-Thematic, People-Content-Network and Sentiment-Emotion-Intent dimensions.
  • My Role
    • I coordinated the development, analysis, and UI design for Twitris and Twitris 2.0. I contributed to the text analysis, information extraction, and information integration components of the system.
  • Real World Application
    • Twitris system has been used in multiple real world scenarios such as brand tracking (e.g. Apple, Macy’s), review monitoring (e.g. iPhone, movies), public event monitoring (e.g. US presidential election, state fairs), disaster situations (e.g. Japan earthquake) and health monitoring (e.g. swine flu, depression).



Device Effect on Online Information Seeking

  • Motivation
    • Personal computers (desktops, laptops) and smart devices (smartphones, tablets) have distinct characteristics in terms of readability, user experience, accessibility, etc.
    • As search traffic from smart devices is exponentially increasing, it is critical to understand the effects of the device used for online information seeking.
    • Such knowledge can be applied to improve the search experience and to develop more advanced next-generation knowledge and content delivery systems.
  • Approach
    • I used data science techniques to perform comparative analysis (such as structural, linguistic, textual and semantics analysis) of large-scale (more than 100 millions) health search queries submitted through Web search engines from both types of devices.

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)

  • Objective
    • During my HP Labs internship, I worked on the ‘Semantic RFP Recommendation’ to expedite the Request for Proposal (RFP) response process at HP by making the right recommendations (past RFP and deal documents) at the right time.
  • Approach
    • I developed a recommender system using a semantic document similarity approach leveraging information about content (current and past documents), enterprise social networks (people and their roles), and stages of the RFP.

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

Disaster Situation Awareness based on Social Media Analysis

  • Objective
    • The objective of this project was to expedite the decision-making process in disaster situations by identifying location-based, actionable information from social media.
  • My Role
    • I lead the research, design, and development for the project (funded by the Air Force Research Lab (AFRL)) to create a geo-social mash-up for situational awareness in a disaster situation based on social media data analysis.


Wikipedia Knowledge Extraction

  • Objective
    • This project aimed to generate a topic-specific domain model based on information available from Wikipedia.
  • My Role
    • I worked on the extraction of web-links (Wikipedia links and web URLs) mentioned on the whole corpus of Wikipedia articles as a part of Doozer, a tool for automatically creating a topic-specific domain model using curated knowledge from Wikipedia.



Technical Skills

  • Programming: Java, PHP, HTML, XML, Shell scripting
  • Big Data Technologies: Hadoop, MapReduce, Apache Storm, Spark
  • Databases: MySQL, MS Access, Virtuoso triple store
  • Semantic Web: OWL, RDF, SPARQL
  • Research Tools: Weka, Protege, Lucene, UMLS MetaMap, Google Analytics, IBM NetInsight
  • Operating Systems: Mac OS, Linux, MS Windows


Big Data & Smart Data Science Certification from Computer Science Department, Wright State University, Dayton, OH

  • To manage and analyze Big Data and to create Smart Data enabled applications for enterprises and individuals.


Publications

Google Scholar citation count: 165+

Journal Papers and Book Chapters


Conference Papers

  • 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

Posters

US Patent

  • Context-Aware Information Recommendation, filed in January 2013 by HP Labs
    • Patent filled based on HP summer 2011 internship work
    • Ashutosh Jadhav, Hamid Motahari, Susan Spence, Claudio Bartolini (Role: Primary Inventor)


Research Grants and Proposals

(Significant contribution)


  • Air Force Research Lab (AFRL) proposals
    • SIDFOT (Sensors Integration for Data Fusion in Operations and Training) project
      • Title: Geo-Social mash-up for situational awareness in a disaster response situation
      • Funded project: 2010-2011, Real-time Twitris
    • Information Operations/Cyber Exploitation Research (ICER) Program, City Beat
      • Title: Social media analysis for situational awareness
      • Funded project: 2011-2012
    • WBI's Tec^Edge Innovation and Collaboration Center (Tec^Edge ICC)
      • Funded project: Summer 2010, Summer 2011


  • Mayo Clinic Meritorious Awards
    • Healthcare trend surveillance using social networks and health search queries (funded 2013)
    • What makes a health-related tweet informative – patients’ perspective (funded 2014)


Selected Coursework

  • Semantic Web
  • Cloud Computing
  • Data Mining
  • Web 3.0 and Social Semantic Web
  • Machine Learning
  • Knowledge Representation for the Semantic Web
  • Parallel Programming with MPI
  • Distributed Computing Principles
  • Web Information System
  • Data Structures and Algorithms
  • Database Systems and Design
  • Advance Database Systems
  • Computer Engineering Mathematics
  • Computer Vision
  • Advanced Computer Networks
  • Multimedia Coding and Communication
  • Comparative languages
  • Computer Architecture I and II


Mentorship

  • Amir Hossein Yazdavar
    • Computer Science Ph.D.
    • Topics related to Modeling Social Behavior for Depression (focus Twitter dataset)
    • July 2015 - Present
  • SoonJye Kho
    • Visiting Research Scholar
    • Topics related to Modeling Social Behavior for Depression (focus Twitter dataset)
    • July 2015 - Present
  • Nishita Jaykumar
    • Computer Science Masters
    • Project in Social Health Signals
    • Jan. 2013 – Apr. 2013
  • Sreeram Vallabhaneni
    • PhD student
    • Project: Semantic understanding of health related post shared on twitter
    • Apr. 2012 – Aug. 2012
  • Michael Cooney
    • CS Undergrad
    • Projects: Twitris, Disaster Situation Awareness
    • 2010 – 2011


Professional Activities

  • Reviewer AMIA Annual Symposium 2014, 2015, 2016
  • Subreviewer for ICWSM 2011, 2012, 2013, 2014, 2015
  • 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


Selected Presentations and Talks

  • Consumer-centric Health Informatics and Social Media Analytics, Mayo Clinic, Rochester, MN, USA, May 2015
  • Semantic Analysis of Online Health Information Seeking for Cardiovascular Diseases, AMIA Annual Symposium, Washington DC, USA 2014
  • Semantic Intent Mining for Health Search, European Medical Informatics Conference (MIE 2014), Istanbul, Turkey
  • Context-Aware Content Recommendation In Enterprise Pursuit Process, HP Labs, Palo Alto, CA, USA 2011
  • Enterprise Social Network: State of the Art, presented at HP Labs, Palo Alto, CA, USA 2011

Contributed significantly in the following presentations


Contact Information

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

Ashutosh Jadhav Resume


Research Funding Acknowledgement

I will like to acknowledge Kno.e.sis Center, National Science Foundation (NSF), National Institutes of Health (NIH), and United States Air Force Research Laboratory (AFRL) for their generous support for my research work.

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