Dr. Mansi Gupta

Mansi Gupta completed her PhD in Information Technology from Dr. B. R. Ambedkar National Institute of Technology, Jalandhar. Her doctoral research focuses on federated learning, blockchain-assisted security, explainable AI, and intelligent systems for healthcare and IoT environments. Her work contributes to improving privacy, scalability, fairness, and transparency in distributed machine learning systems. She received her M.Tech degree from Meerut Institute of Engineering and Technology, Meerut, and completed her B.Tech Meerut Institute of Technology, Meerut. She has qualified competitive exams including GATE, UGCNET, etc. Mansi Gupta has published her research in SCI and Scopus-indexed journals, reputed international conferences, and edited book chapters. She has taken active roles in student mentoring, laboratory management, curriculum enhancement, and accreditation processes. She also participates in faculty development programs and collaborative research initiatives aimed at advancing secure and efficient AI-driven systems. 

Mansi Gupta is currently working as an Assistant Professor at UPES. This is her first academic appointment, she brings strong research expertise and extensive academic experience gained during her PhD at Dr. B. R. Ambedkar National Institute of Technology, Jalandhar. During her doctoral tenure, she was actively involved in teaching assistance, lab supervision, project guidance, evaluation duties, and curriculum-related activities. 

Dr. Mansi’s research interests include federated learning, privacy-preserving machine learning, and blockchain-assisted security for distributed systems. She works extensively on homomorphic encryption for secure aggregation, explainability techniques such as Grad-CAM/Grad-CAM++, and trust-aware AI for healthcare and IoT environments. Additional areas of focus include medical imaging, edge-intelligent systems, and the design of robust, transparent, and scalable learning models for next-generation AI applications. 

Dr. Mansi teaches with an emphasis on conceptual clarity and deep understanding, encouraging students to break down complex ideas into their fundamental principles before building solutions. She connects classroom learning with practical, real-life situations so that students can see the relevance and purpose behind what they study. Through hands-on activities, guided exploration, and critical questioning, she motivates learners to analyze, justify, and reflect on their decisions rather than rely on shortcuts. Her approach blends skill-building with ethical awareness, preparing students to think independently, act responsibly, and approach professional challenges with confidence and integrity. 

Dr. Mansi has taught courses including Problem Solving, Deep Learning, Object Oriented Programming, and Elements of AIML. 

She was awarded an MHRD scholarship during her PhD. She received a Silver Medal during her MTech. She has also qualified the GATE examination and cleared the UGC NET. 

She has an active scholarly record with SCI and Scopus-indexed publications, conference papers, and book-chapter contributions in federated learning, privacy-preserving machine learning, blockchain-enabled security, homomorphic encryption, and explainable AI. Her research has been published in high-impact journals including Computer Science Review, Computers in Human Behavior, The Journal of Supercomputing, SN Computer Science, Journal of Information Security and Applications, etc. 

mansi.gupta@ddn.upes.ac.in