Sunil Kumar Email & Phone Number

Toronto, Ontario, Canada

- Gap Analysis of existing ontologies for smart city domain and modeling of Smart City ontologies in order to fulfill these gaps in TR-0061- Incorporated Semantics and SPARQL for Advanced Semantic Discovery in a oneM2M based distributed environment.

Seongnam, Gyeonggi-Do, Korea

- Performed requirement elicitation for each component (Annotator, Template Creation Interface, Validator, LOD Web Service), researched suitable development tools and carried out development in Korean Government City-hub Project, with a target to enhance connectivity and semantic reasoning.- Provided presentations and discussions to help team understand the scope and core concepts of semantics.- Developed Annotation Template Creation Interface (ATCI), using Java swing, Apache Jena and Virtuoso, for generating custom templates, to provide semi-automated solution for annotating IoT data into semantic graph data.- Developed Ontologies, using Protégé to represent City-hub knowledge graphs. These covered different aspects of device, service and data, also aimed at fulfilling modeling criteria of completeness, adaptability, clarity and conciseness, from IoT and Smart City point of view, which lacked in existing standard ontologies.- Developed RESTful API to support Semantic data access for semantic as well as non-semantic environments.- Developed Semantic Validator to validate the annotated IoT knowledge graphs using Semantic inferencing and Hermit reasoner API.

Yongin-Si, Gyeonggi-Do, Korea

- Carried out research regarding IoT data acquisition at Virtual Object level in Web of Objects (WoO) environment. This work was the part of joint collaborative project EmoSpaces, ITEA-3. It was the first time that WoO was used to represent emotion and depressive disorder related knowledge graphs, collected using IoT devices for different application services such as recommendation service.- Worked in semantic web technologies for annotating data into knowledge graphs.- Performed feature selection in Data mining using Weka, to identify strong parameters for predicting emotion states and depression.

Master Of Business Administration - Mba, Business Administration And Management, A

Masters, Information And Communication Engineering, A+

Bachelor'S Degree, Computer Science

Pre-Engineering

Secondary School Certificate (Ssc), Computer