Projects:- Semantically Augmented Range Queries over Heterogeneous Geospatial Data.- Business Data Integration (with the City of Chicago's Department of Innovation & Technology).- Mapping and Querying Underground Infrastructure Systems.- Semantic Web-based Geospatial Data Integration: Developing a semantic geospatial data integration framework, that addresses several types of heterogeneities in geospatial data, while simultaneously capturing uncertainty in various phases of data integration.- GUIDES – Geospatial Urban Infrastructure Data Engineering Solutions: Geospatial data management framework for urban underground infrastructure systems.- Predictive Analytics for Malaria Elimination in Zimbabwe: A predictive analytics framework to identify the malaria incidence using various indicators that affect the cause and spread of the disease at various spatio-temporal resolutions.- Ontology-based Instance Matching: A framework to integrate Food Inspections and Business Licenses dataset for the City of Chicago.- Ontology-based Data Exploration: Spatio-temporal analysis of Crime data using ontologies for the City of Chicago.- Ontology Alignment Evaluation Initiative (OAEI): Development of algorithms for spatial data matching and instance matching using AgreementMakerLight (AML). Participated in OAEI 2015, 2016, 2017 and 2017.5. * AML is a top performer in the Hobbit Linking and Hobbit Spatial tasks. * AML is the winner of the 2017 IBM Research prize. * AML was the overall best performing system in 2015 as well as in 2016.

CS 418: Introduction to Data Science (Spring 2018)CS 586: Data & Web Semantics (Fall 2015, Fall 2016)CS 211: Programming Practicum (Fall 2015)CS 111: Program Design I (Fall 2014, Spring 2015, Spring 2016, Fall 2018)

CS480: Database Systems (Summer 2018)

Cloud and Information Services Lab (CISL)

Role: Lecturing on Scratch, Python, Object-Oriented Programming, Web Development, and Robotics.

Technology: Python, JavaProject: Automatic Extraction of Ontologies and Ontology Matching for Linkipedia (an Entity Linking Tool, which takes semi- or un-structured text, extracts terms, and links them to entities in a knowledge base).Role: Research and Development.Mentors: Dr. Deborah L. McGuinness, Dr. Jim McCusker.

Technology: JavaProject: Making a Robust and Useful Earth Science Ontology Repository: Creating a test suite, automating ontology uploading, and standardizing RESTful API.Role: Research and Development.Mentors: Dr. Deborah L. McGuinness, Dr. Xixi Luo.More details at: https://www.dataone.org/intern/2015/making-robust-and-useful-earth-science-ontology-repository-creating-test-suite

Technology: Mainframes – COBOL, DB2; SASRole:o Integration of disparate datasets.o Generating various reports from the integrated dataset to be sent to the Business Analysts.o Help the client in releasing new products for insurance by aggregating them with the current system architecture. This involved interaction and involvement with various third-party interfaces outside the client’s firm and within Accenture.o Involved in the design of a new technical architecture to accommodate few new insurance products and schemes.Significant Milestones:o Applied for an internal patent (Application ID: D13-266), for my research and implementation, titled “LaBTReS – a Language Based Tag Recommender System”.o Received the “Propel Award” for FY13 – H2, for consistently delivering high quality work.o Recognized for proposing innovative ideas for “Ideas at Work”, a Delivery Unit level initiative to provide Value addition and Key Differentiators to the clients.o Merit of receiving the “Celebrating Monetary Performance” Award for “Drives for Value Added Results”, “Organizes Quality Work Efforts”, “Builds Technical Capabilities!” and “Maximizes Team's Performance” categories, a number of times.