Dr. Pinki Sagar

About

Dr. Pinki Sagar is an academician and researcher with experience in Computer Science and Engineering. She has served as an Associate Professor, teaching undergraduate and postgraduate courses in areas such as Artificial Intelligence, Machine Learning, Operating Systems, Cyber Security, Natural Language Processing, and Data Science. She has actively contributed to curriculum development, academic administration, student mentoring, and laboratory development.

Her academic interests include Artificial Intelligence, Machine Learning, Natural Language Processing, Cyber Security, and Data Analytics. She is committed to outcome-based education, innovative teaching practices, and promoting research-oriented learning among students. Dr. Sagar has guided student projects, developed course materials, and participated in faculty development programmes, workshops, and academic activities aimed at enhancing the quality of technical education.

laboratory development.

Experience

• 19 Years

Qualification

• B.TECH
• M.TECH
• P.Hd

Research

• P. Sagar, U. Dwivedi, N. Jain, G. Jindal and A. Kumar, "Explainable Contrastive Learning Framework for EEG-Based Affective Computing in Privacy-Preserving Consumer Devices,"inIEEETransactionsonConsumerElectronics,doi:10.1109/TCE.2025.3615845. October 2025.
• Koushik Chakraborty; Ajit Noonia; Pinki Sagar; Deepti Thakral; Dharmendra Sharma; Anamika Sharma, Ontology based resource allocation in Sustainable cloud computing System accepted in ARIIA 2024, 20,21 DEC 2024International Conference on Augmented Reality, Intelligent Systems, and Industrial Automation".
• P. Sagar, N. Batra, D. Thakral, P. Kaushik, A. Noonia and M. K. Yadav, "Neem Leaf Disease Detection and Classification Using ResNet50 Deep Neural Network," 2025 International Conference on Decision Aid Sciences and Applications (DASA), Manama, Bahrain, 2025, pp. 2136-2141, doi: 10.1109/DASA68193.2025.11498997.
• N. Batra, D. Thakral, P. Sagar, T. Kaur, R. K. Ratnesh and M. K. Yadav, "Smart Detection of Lemon Leaf Diseases Using InceptionV3 for Better Crop Care," 2025 International Conference on Decision Aid Sciences and Applications (DASA), Manama, Bahrain, 2025, pp. 2154-2159, doi: 10.1109/DASA68193.2025.11498768.
• D. Thakral, P. Sagar, N. Batra, M. Kaur, D. Agnihotri and A. Misra, "ResNet101 for Mulberry Leaf Diagnostics: Accurate, Scalable Disease Classification," 2025 International Conference on Decision Aid Sciences and Applications (DASA), Manama, Bahrain, 2025, pp. 2172-2177, doi: 10.1109/DASA68193.2025.11498890.
• Total 35

Area of Interest

• Machine Learning