Difference between revisions of "Ashutosh Jadhav"
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* <strong>Databases</strong>: MySQL, MS Access, Virtuoso triple store | * <strong>Databases</strong>: MySQL, MS Access, Virtuoso triple store |
Revision as of 22:48, 10 July 2015
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
LinkedIn profile
Google Scholar
Bibliography on NCBI PubMed
Contents
- 1 Education and Work Experience
- 2 Research Projects
- 2.1 Search Intent Mining
- 2.2 Semantic Query Expansion
- 2.3 Social Health Signals
- 2.4 Twitris- social media analysis and research platform
- 2.5 Device Effect on Online Information Seeking
- 2.6 Disaster Data Informatics for Situational Awareness
- 2.7 Knowledge Acquisition from Community-Generated Content
- 2.8 Context-aware Content Recommendation in Enterprise Social Network
- 3 Technical Skills
- 4 Publications
- 5 Research Grants and Proposals
- 6 Selected Coursework
- 7 Mentorship
- 8 Professional Activities
- 9 Selected Presentations and Talks
- 10 Contact Information
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 Graduate Research Assistant at Kno.e.sis - Ohio Center of Excellence in Knowledge-enabled Computing, Wright State University (April. 2009 - Present)
- Develop research, problem-solving and analytical skills, learning ‘how to learn’ while working on collaborative, multidisciplinary projects and real world research problems
- Projects: Semantic intent mining for health search, Social Health Signals, Twitris
- Advisor Prof.Amit Sheth
- Research Intern, Health Science Research, Mayo Clinic, Rochester, MN (May 2013 - May 2014)
- 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
- Mentor Dr.Jyotishman Pathak
- Research Intern, HP Services Research Lab, HP Labs, CA (June 11 – Sept 2011)
- Developed semantic recommendation system leveraging content semantics to expedite enterprise Request for Proposal (RFP) response process.
- Mentor Dr.Hamid Motahari Manager Dr.Claudio Bartolini
- 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)
- Software Developer 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
Research Projects
Search Intent Mining
- 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.
- First, we conducted three qualitative focus group studies to get users’ perspective on online health information seeking. Second, we selected 14 consumer oriented health search intent classes based on inputs from focus group studies and based on analysis of popular health websites, literature 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 UMLS and utilizes UMLS semantic types and concepts for the search intent classification. The framework can semantically classify health search queries into 14 intent classes such as symptoms, treatments, food and diet, living with prevention.
- I developed the framework using Big Data technologies such as Hadoop-MapReduce, Hive and HBase to process millions of search queries efficiently.
- 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
- First step in search query processing is to understanding 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 search engine’s performance degrades with increase in the complexity of the search query. In this project, I am working on semantic query expansion specifically focusing on complex health search queries (queries with multiple concepts).
- In this research, I am extending current query expansion approaches by leveraging health domain semantics with a) consumer health vocabulary b) UMLS concept hierarchy c) semantic similarity between concepts
Social Health Signals
- 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).
- We utilized a hybrid approach based on rule-based filtering and supervised Machine Learning classification to facilitate identifying informative health-related information. SHS capabilities includes:
- to retrieve relevant and reliable health information shared on Twitter in real-time
- to enable question answering on Twitter data
- to rank results based on relevancy, popularity and reliability
- to enable efficient browsing of the results, we semantically categorize the information into health categories such symptom, food and diet, healthy living and prevention
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 semantically integrates multiple Web resources such as social media, images, news, videos and Wikipedia articles.
- 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
- 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
Device Effect on Online Information Seeking
- 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.
- In this study, we performed comparative analysis of large-scale (more than 100 million) health search queries submitted through Web search engines from both types of devices.
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)
- During my HP Labs 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: Java, PHP, HTML, XML, Scheme
- Big Data Technologies: Hadoop, MapReduce, HBase, Hive
- Databases: MySQL, MS Access, Virtuoso triple store
- Semantic Web: OWL, RDF, SPARQL
- Research Tools: Weka, Protege
- Operating Systems: Mac OS, Linux, MS Windows
Publications
Google Scholar Bibliography on NCBI PubMed
- 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) Link 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
Research Grants and Proposals
( significant contribution)
- NIH-R01 proposal (in resubmission)
- Modeling Social Behavior for Healthcare Utilization and Outcomes in Depression
- In collaboration with Mayo Clinic and partly based on my Mayo Clinic internship work
- 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
- SIDFOT (Sensors Integration for Data Fusion in Operations and Training) project
- Information Operations/Cyber Exploitation Research (ICER) Program, City Beat
- Title: Social media analysis for situational awareness
- Funded project: 2011-2012
- Information Operations/Cyber Exploitation Research (ICER) Program, City Beat
- WBI's Tec^Edge Innovation and Collaboration Center (Tec^Edge ICC)
- Funded project: Summer 2010, Summer 2011
- WBI's Tec^Edge Innovation and Collaboration Center (Tec^Edge ICC)
- Mayo Clinic Meritorious Award
- 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
- Swapnil Soni
- Computer Science Masters
- Thesis on topic related to Social Health Signals (Title: Domain Specific Document Retrieval Framework for Near Real-time Social Health Data)
- Jan. 2013– May 2015
- 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
- Student Research Consortium Chair at 11th International Conference on Data Integration in the Life Sciences 2015 (DILS2015)
- Reviewer AMIA Annual Symposium 2015
- 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
- Program Committee member for Semantic Web in Literature-Based Discovery workshop at IEEE International Conference on Bioinformatics and Biomedicine (BIBM 2012)
Selected Presentations and Talks
- Disaster data informatics for situation awareness (927 slideshare views)
- Twitris – System for Understanding Perceptions From Social Data (388 slideshare views)
- Healthcare innovations at Kno.e.sis (748 sideshare views)
- 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
- Social Health Data Informatics, Symplur - Connecting the dots in healthcare social media and PatientsLikeMe
- Context-Aware Content Recommendation In Enterprise Pursuit Process, HP Research Labs, 2011
- Enterprise Social Network: State of the Art, presented at HP Research Labs, 2011
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
- Google Scholar