Jaypee Institute of Information Technology, Noida
  • JIIT
  • JIIT
  • JIIT
  • JIIT
Assistant Professor (Senior Grade)
sonal@jiit.ac.in

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.

Biography

I started my career as an Application Developer in Oracle where I designed and developed different modules for data fusion. After that, I worked as an Assistant Professor in ITM University, Gurgaon.  I am pursuing my PhD from JNU in the area of Graph Data Models. I am working as an Assistant Professor in JIIT, Noida since Jun, 2018.

Work Experience

Teaching Experience:

  • Presently working as Assistant Professor (Senior Grade) in Department of Computer Science & Engineering at Jaypee Institute of Information Technology (JIIT),  Noida, U.P. from Jun, 2018 to till date.
  • Worked as Assistant Professor in Department of Computer Science & Engineering (CSE) at NorthCap University (former ITM), Gurugram from July 2014 to July 2015.

Industry Experience:

  • Worked as Application Developer in Oracle India Pvt Ltd, Hyderabad from Jun, 2013 to Apr, 2014.       

Interest Area(s)

  • Data Mining
  • Databases
  • Data Analytics

Publications

  • Tuteja, S. and Kumar, R., 2023. Query-driven graph models in e-commerce. Innovations in Systems and Software Engineering19(2), pp.177-195.
  • Tuteja, S. and Kumar, R., 2022. A unification of heterogeneous data sources into a graph model in e-commerce. Data Science and Engineering, 7(1), pp.57-70.
  • Nanda, A., Tuteja, S. and Gupta, S., 2022. 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 (pp. 167-187). Academic Press.
  • Tuteja, S. and Kumar, R., 2020. An architecture for data unification in e-commerce using graph. Strategic System Assurance and Business Analytics (pp.407-417).
  • Tuteja, S. and Kumar, R., 2017. A system architecture for mapping application data into complex graph.In International Conference on Information, Communication and Computing Technology (pp. 148-155).

Conferences/ Workshops Attended

  • Five days FDP on ‘Autonomous AI for Sustainable Development’organized by JIIT, Noida (3-8 Jun, 2024)
  • Five days FDP on ‘Role of Artificial Intelligence in Viksit Bharat@2047’organized by AIU–GGSIPU-AADC (11-15 Mar, 2024)
  • 3 days workshop on ‘Data Engineering’ organized by JIIT, Noida (21-23 Sep, 2023)
  • 3 days International Conference on ‘Contemporary Computing’ organized by JIIT, Noida (3-5 Aug, 2023)
  • Six days FDP on ‘Artificial Intelligence Tools’ organized by JIIT, Noida (28 Jun-3 Jul, 2023)
  • One day webinar on “Unfold the future with Unreal Engine” organized by NITTR, Chennai (01 Apr, 2023)
  • Three days FDP on‘E-content Development for blended learning’organized by JIIT, Noida (22-24 Feb, 2023)
  • Six days FDP on ‘Blockchain Technology’ and Its Applications organized by JIIT, Noida (25-30 Jul, 2022)
  • Five days FDP on Green IoT for Sustainable Development’ organized by JIIT, Noida (13-17 Jun, 2022)
  • Six days FDP on ‘Data Analysis using Statistical Tools’ organized by JIIT, Noida (13-18 Sept, 2021)