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Academic Experts
Dr. Sonal

Biography

Dr. Sonal is an Assistant Professor (Senior Grade) in the Department of Computer Science and Engineering & IT at Jaypee Institute of Information Technology (JIIT), Noida, with over 9 years of academic, industry and research experience. She earned her Ph.D. in Computer Science from Jawaharlal Nehru University in 2022, M.Tech. in Software Engineering from Delhi Technological University (2011–2013), and B.Tech in Computer Science from YMCA University (2007–2011). Prior to Joining JIIT, she has worked as Application Developed in Oracle India and Assistant Professor at North Cap University, Gurugram. She has taught a wide range of courses such as Database Management System, Software Development Fundamentals, Large Scale Databases and Open Source Software Labs.

Educational Qualifications

Ph.D. in Computer Science and Engineering: School of Computer and Systems Sciences, Jawaharlal Nehru University, India; 2022. Ph.D. Thesis Title: ‘Graph Model for Schema and Data Mapping’., M. Tech. (Software Engineering), 2013 from Delhi Technological University, Delhi., B. Tech. (Computer Engineering), 2011 from YMCA, Faridabad.

Research Highlights

Sonal’s research is specialized in the integration of machine learning and graph-based data modeling to solve complex problems in e-commerce and educational technology. Her primary work centers on unifying heterogeneous data sources into coherent graph models that improve data retrieval and decision-making processes in dynamic e-commerce environments. Her research is also aligned towards applying artificial intelligence and data science to real-world problems in education technology, promoting innovative solutions that bridge technical rigor with practical impact. By integrating these technologies, her work lays the foundation for future innovations in data-driven decision support systems across diverse domains.

Areas of Interest
  • Graph Analytics
  • Data Analytics
  • Databases
  • AI in Education
Publications
  1. S. Tuteja and R. Kumar, "A unification of heterogeneous data sources into a graph model in e-commerce," Data Science and Engineering, vol. 7, no. 1, pp. 57-70, 2022.
  2. S. Tuteja and R. Kumar, "Query-driven graph models in e-commerce," Innovations in Systems and Software Engineering, vol. 19, no. 2, pp. 177-195, 2023.
  3. A. Nanda, S. Tuteja, and S. Gupta, "Machine learning based analysis and prediction of college students' mental health during COVID-19 in India," in Artificial Intelligence, Machine Learning, and Mental Health in Pandemics, Academic Press, 2022, pp. 167–187.
  4. A. Bhadouria, P. Gupta, P. Bindal, K. Madan, and S. Sonal, "Automated Examination System using Machine Learning and Natural Language Processing," in *Proc. 2024 Sixteenth International Conference on Contemporary Computing*, Aug. 2024, pp. 752–761.
  5. S. Tuteja and R. Kumar, "An architecture for data unification in e-commerce using graph," in *Strategic System Assurance and Business Analytics*, Singapore: Springer Singapore, 2020, pp. 407–417.