Prof. Trupthi Rao

Assistant Professor

Prof. Trupthi Rao is an Assistant Professor in the Department of Computer Science and Engineering (AI & ML), School of Engineering, Dayananda Sagar University. She earned her B.E. in Electronics and Communication Engineering from Srinivas Institute of Technology in 2010 and an M.Tech. in Digital Electronics and Communication from NMAM Institute of Technology (NMAMIT), Nitte, in 2015. In 2021, she completed a Post Graduate Program in Artificial Intelligence and Machine Learning from Great Lakes University. She is currently pursuing her Ph.D. in the Department of Information Technology at the Indian Institute of Information Technology (IIIT), Allahabad.

With over 12 years of teaching experience, Prof. Trupthi has held several key academic positions, including Board of Examination Member, Board of Studies Member, Research Coordinator, FDP Coordinator, Value-Added Program Coordinator, and Cultural Coordinator. She has also managed NAAC Criterion 2 and served as the Organizing Co-Chair of the 1st International Conference, CIISCA 2023.

She has conducted numerous training programs and Faculty Development Programs (FDPs) on Deep Learning, Machine Learning, Data Analytics using Excel, and Data Analysis and Visualization using Tableau. She has also delivered training sessions on Machine Learning and Python as part of the AIML Training Program at ISTRAC, ISRO. She successfully led a DRDO, Pune-funded project titled "Development of a Classifier Based on Deep/Machine Learning Algorithms for Land-Based Munitions."

Prof. Trupthi served as a Tutor for the prestigious 12-week NPTEL course, “Foundations of Deep Learning: Concepts and Applications,” offered by IIT Madras in collaboration with IISc Bangalore, launched online in January 2026. She also served as a Tutor for the prestigious 12-week NPTEL course, “Fundamentals of Generative AI and Large Language Models: Theory and Practice,” offered by IIT Madras in collaboration with IISc Bangalore and launched online in July 2026.

Prof. Trupthi has published over 200 research papers in indexed journals and national and international conference proceedings. She has received six Best Paper Awards, a Best Employee Award, secured two KSCST research grants, and holds eight published patents. She is a member of IEEE, a Life Member of ISTE, and serves as a reviewer for several reputed journals. Her research interests include Explainable AI (XAI), Interpretable AI, Machine Learning, Data Science, and Natural Language Processing.

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

Scopus:https://www.scopus.com/authid/detail.uri?authorId=57374007900

ORCID:https://orcid.org/0000-0002-0624-8651