Dr. Shilpi Kulshrestha | Department of Computer Science and Engineering

Bio

Dr. Shilpi Kulshrestha is an Assistant Professor in Computer Science and Engineering with over 17 years of teaching and research experience. She has served reputed institutions including Vivekananda Global University, Jaipur National University, Rajasthan University and Poornima University. Her expertise spans teaching, research, academic coordination, content development, and mentoring. Her research focuses on Machine Learning, Artificial Intelligence, E-Commerce Analytics and Predictive Modeling, with publications in Scopus-indexed journals, IEEE conferences and reputed international journals. She is actively involved in innovation, faculty development, and technology-enabled education.

Additional Administrative Titles

SPOC, Spoken Tutorial Project (IIT Bombay)

Member, NBA Departmental Team

Course Coordinator – Programming Java [ UGCSE112 ]

Academic Degrees

Ph.D., Computer Science, Jagannath University, Jaipur (2024)
M. Tech, Jagannath University (2012)
MCA, Punjab Technical University (2009)
M.Sc. (Computer Science), MDS University (2008)
B.Sc. (Mathematics), MDS University (2006)

Academic Appointments

Assistant Professor, Vivekananda Global University, Jaipur (2025–Present)
Associate Professor, Jaipur National University, Jaipur (2024–2025)
Assistant Professor, Commerce College Jaipur (2018–2024)
Assistant Professor, Rajasthan University, Jaipur (2021–2024)
Assistant Professor, University Maharaja College, Jaipur (2022–2024)
Assistant Professor, Poornima University (2014–2017)
Assistant Professor, Compucom Institute (2010–2012)
Assistant Professor, Aryabhatta College of Technical Education (2008–2010)

Professional Experience

17+ years of teaching and academic administration experience in:
Undergraduate and Postgraduate Teaching
Curriculum Development and Academic Planning
Research Guidance and Mentoring
Examination and Academic Coordination
Technical Workshops and FDP Organization
E-Content and Video Lecture Development

Courses Taught

Courses taught include:
Artificial Intelligence
Machine Learning
Data Communication and Networks
E-Commerce
DSA
Programming in C, C++ and Java
Computer Fundamentals
Data Science-related Courses

Research Interests

Machine Learning and Deep Learning

Artificial Intelligence

Customer Retention Analytics

E-Commerce and CRM Analytics

Data Science and Predictive Modeling

Human Activity Recognition

Journal Articles

[1] S. Kulshrestha, M. L. Saini, P. Sharma, and A. Kumar, “Predicting Customer Retention and Online Shopping Perception: Highly Recommended Machine Learning Approach,” RACSC, vol. 18, no. 7, Oct. 2025, doi: 10.2174/0126662558309335240809064620.
[2] S. Kulshrestha and M. L. Saini, “Study for the Prediction of E-Commerce Business Market Growth using Machine Learning Algorithm,” 2020 5th IEEE International Conference on Recent Advances and Innovations in Engineering (ICRAIE). IEEE, pp. 1–6, Dec. 01, 2020. doi: 10.1109/icraie51050.2020.9358275.
[3] S. Kulshrestha and M. Lal Saini, “The Analytical Study of an E-Business Model for Establishing the Concept of Customer Retention (A Case Study of Myntra.com),” SSRN Journal, 2019, doi: 10.2139/ssrn.3444797.

Book Chapters

[1]. Dr. Shilpi. Kulshrestha, “Waste2Taste: A Sustainable Framework for Food Redistribution Using Digital Platforms,” in Scientific Advances for a Healthier Tomorrow, December 1 – 2, 2025, pp. 64–71, ISBN: 978-93-5469-672-5.
[2]. Dr. Shilpi. Kulshrestha, “AI-Driven Personalized Nutrition for Physiotherapy Guest,” in Scientific Advances for a Healthier Tomorrow,, December 1 – 2, 2025, pp. 91–94, ISBN: 978-93-5469-672-5.