Dr. Seema Gulati | Faculty Computer Science and Engineering

Dr. Seema Gulati is a distinguished academician and researcher specializing in the fields of Computer Science and Engineering. She holds a Ph.D. from Chitkara University, Punjab, and boasts a comprehensive teaching career that spans over nine years. Dr. Gulati is actively engaged in cutting-edge research, with a focus on machine learning, deep learning, federated learning, and their diverse applications in the healthcare sector. Her scholarly contributions are well-recognized, with several peer-reviewed journal articles and conference papers published in high-impact journals, such as IEEE Access, Current Medical Imaging and SN Computer Science. Furthermore, Dr. Gulati has served as a reviewer for numerous articles published in esteemed high-impact journals by Springer, further underscoring her expertise and reputation in her field.

ORCID ID: 0009-0001-3869-7240

Scopus ID:  57832085400     

Vidwan ID:   NA            

Google Scholar ID:   https://scholar.google.com/citations?user=oMCOEe4AAAAJ&hl=en

Web of Science: HNI-4975-2023

RESEARCH PUBLICATIONS

• Gulati, S., Guleria, K., Goyal, N., AlZubi, A. A., & Castilla, Á. K. (2024). A Privacy-Preserving Collaborative Federated Learning Framework for Detecting Retinal Diseases. IEEE Access.
• Gulati, S., Guleria, K., & Goyal, N. (2025). Privacy-Preserving and Collaborative Federated Learning Model for the Detection of Ocular Diseases. International Journal of Mathematical, Engineering & Management Sciences, 10(1).
• Gulati, S., Guleria, K., & Goyal, N. (2024). Collaborative, Privacy-Preserving Federated Learning Framework for the Detection of Diabetic Eye Diseases. SN Computer Science, 5(8), 1100.
• S. Gulati, K. Guleria, N. Goyal, and A. Dogra, “Federated Deep Learning Approaches for Detecting Ocular Diseases in Medical Imaging: A Systematic Review,” Curr Med Imaging, vol. 21, no. 1, p. E15734056400866, 2025.
• Gulati, S., Guleria, K., & Goyal, N. (2024). Detection and Multiclass Classification of Ocular Diseases using Deep Learning-based Ensemble Model. International Journal of Intelligent Systems and Applications in Engineering, 12(19s), 18–29. Retrieved from https://ijisae.org/index.php/IJISAE/article/view/5041
• Gulati, S., Guleria, K., & Goyal, N. (2023, December). Classification and detection of diabetic eye diseases using deep learning: A review and comparative analysis. In AIP Conference Proceedings (Vol. 2916, No. 1). AIP Publishing.
• Gulati, S., Guleria, K., & Goyal, N. (2023, July). Classification of diabetic retinopathy using a pre-trained deep learning model, DenseNet 121. In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT) (pp. 1-6). IEEE.
• Gulati, S., Guleria, K., & Goyal, N. (2022, April). Classification and detection of coronary heart disease using machine learning. In 2022 2nd International Conference on Advance Computing and Innovative Technologies in Engineering (ICACITE) (pp. 1728-1732). IEEE.
• Gulati, S., Guleria, K., & Goyal, N. (2022, October). Classification of migraine disease using supervised machine learning. In 2022 10th International Conference on Reliability, Infocom Technologies and Optimization (Trends and Future Directions) (ICRITO) (pp. 1-7). IEEE.
• R. Singh, A. Jaguri, S. Gulati, and M. Kumar, “Deep learning-based musical instrument classification using LSTM networks,” AIP Conf Proc, vol. 3357, no. 1, p. 40001, Dec. 2025, doi: 10.1063/5.0297739.
• R. Singh, S. Gulati, A. Mohan, and Y. Tyagi, “Leveraging machine learning techniques for early detection of Parkinson’s disease,” AIP Conf Proc, vol. 3357, no. 1, p. 40003, Dec. 2025, doi: 10.1063/5.0297738.
• R. Chaudhary, P. K. Goel, S. Verma, H. Tyagi, S. Gulati, and H. Tyagi, “Sustainable Health Tech Managing Eco-Conscious IoT Devices for Medical Innovation,” in Development and Management of Eco-Conscious IoT Medical Devices, IGI Global Scientific Publishing, 2026, pp. 123–154.