Ms. Sushmita Singh
Assistant Professor - I

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Qualification
M.Tech
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College/University
Jc Bose University Of Science And Technology, Ymca, Faridabad
Faculty member in Computer Science and Engineering with research interests in data analysis, graph analytics, graph embedding, dynamic knowledge graphs, and predictive modelling for chronic disease risk analysis, particularly diabetes. Engaged in interdisciplinary research and the development of data-driven solutions for early disease prediction and healthcare management.
Education:
Ph.D. (Computer Science Engineering (pursuing)), M.Tech (Information Technology), B.Tech (Computer Science)
Research:
- Research interests primarily focus on risk analysis and prediction of chronic diseases using graph analytics, with a particular emphasis on diabetes. The work involves applying graph-based data analytics, dynamic knowledge graphs, and predictive modelling techniques to identify risk factors, analyse relationships among clinical variables, and support the early prediction and management of diabetes.
Publications:
- Evaluating Diabetes dataset for Knowledge Graph Embedding based Link Prediction, Data Knowledge and Engineering, Elsevier, 2025 (SCIE, SCOPUS)
- Handling heterogeneous data in knowledge graphs: A Survey, Journal of Web Engineering, River Publishers, 2022 (SCIE, SCOPUS)
- Sense based indexing of hidden web using ontology, IJAERD, 2018 (UGC)
- Ontology based indexing of Hidden web: Review, IJECS, 2016
- Published dataset
- Title: Diabetes Knowledge Graph Dataset.”
- Published on Kaggle 2025
- Publicly released a healthcare knowledge graph dataset for chronic disease analytics, semantic healthcare research, and AI-driven risk prediction applications.
Research Interests
- Knowledge graphs, Link prediction, Graph data analytics, Graph embeddings, Healthcare data analytics.
- Books/ Book Chapters :
- Role of Knowledge Graphs in Analyzing Epidemics and Health Disasters, Global
- Healthcare Disaster: Predicting the unpredictable with emerging technologies, Apple
- Academic Press, CRC press, Taylor & Francis group, ISBN: 9781774910047
- Conferences :
- Challenges in constructing a knowledge graph from text-based documents, International Conference on Integrated Circuits, Communication and Computing systems (ICIC3S-2024) (SCOPUS)
- Medical expert system using knowledge graph, 5th International Conference on Soft Computing and its engineering applications (icSoftComp2023) (SCOPUS)
Teaching interests :
- Data Structures
- Operating systems
- Cryptography
- Graph data analysis
- Work Experience : 03 years
