Dr. Nidhi Gupta

About

Dr. Nidhi Gupta is an Associate Professor in the School of Computing Science and Engineering, Department of Computer Science and Engineering, at Sharda University, Greater Noida. She has over 20 years of teaching, research, and academic experience in the field of Computer Science and Engineering.

Dr. Gupta obtained her Ph.D. in Computer Science and Engineering from Jaypee Institute of Information Technology, Noida, and completed her M.Tech with a Gold Medal from Banasthali Vidyapeeth. Her research interests include Artificial Intelligence and Machine Learning (AI & ML), Computer Vision, and Knowledge Graphs. She has contributed extensively to research through publications in reputed international journals and conferences and is actively involved in guiding students and promoting innovation in emerging areas of computing.

Experience

• 20 years

Qualification

• B.Tech, M.Tech, PhD

Award & Recognition

● Recipient of the Gold Medal in M.Tech. for academic excellence.

Research

• Verma, P. K., Gupta, N., Sharma, A. K., Rakesh, N., & Gulhane, M. (2025). ViTCon: a hybrid CNN-ViT model for improved plant leaf disease detection. Cogent Food & Agriculture, 11(1), 2562165.(SCI Q2)
• Gupta, N. et al. (2026). GLA-SCNet: hybrid attention-based spiral convolutional network for early prediction of diabetic retinopathy using fundus images. Optics & Laser Technology, 199, 115030. (SCI Q1)
• Pandey, H., Gupta, N., & Agrawal, A. P. (2025). PSILO-XAI-ResDCN: Handwritten Character Recognition Using Optimized Explainable Residual Deep Learning Mechanism. International Journal of Image and Graphics, 2750081.(Q2, Scopus)
• Upadhyay, P., Panda, T., Jaidka, P., & Gupta, N. (2025). AskAI: BERT Based Contextual Enhancements Framework for Extractive Question Answering. IEIE Transactions on Smart Processing & Computing, 14(4), 520-527.(Q3, Scopus)
• Gupta, N. & Verma, P. (2024). An Ontology alignment based on machine learning for integration of patient Health data. International Journal of Computing and Digital System.

Total: • Research papers: 35 • Patents: 01 • Books:01

Certifications

• Accreditation and Outcome Based Learning, NPTEL, Oct 2025
• Machine Learning with Python, IBM Skills Network, Coursera.
• Python for Data Science, AI & Development, IBM Skills Network, Coursera.
• Programming in JAVA (12-week),  NPTEL
• Introduction to Programming in C (8-week), NPTEL

Area of Interest

• Artificial Intelligence and Machine Learning (AI & ML)
• Computer Vision
• Natural Language Processing
• Knowledge Graphs.