Prof. Trupthi Rao

Assistant Professor

Prof. Trupthi Rao is an Assistant Professor in Computer Science and Engineering (AI & ML) at the 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 NMAMIT, Nitte, in 2015. In 2021, she completed a Post Graduate Program in Artificial Intelligence and Machine Learning from The Great Lakes University. Currently, she is pursuing her PhD in the Department of Information Technology at the Indian Institute of Information Technology, Allahabad.

With over 12 years of teaching experience, Prof. Trupthi has held key academic roles, 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 for the 1st International Conference, CIISCA 2023.

She has conducted several training programs and FDPs on Deep Learning, Machine Learning, Data Analytics using Excel, and Data Analysis & Visualization with Tableau. Additionally, she has delivered sessions on Machine Learning and Python as part of the AIML Training Program at ISTRAC, ISRO. She successfully led a DRDO, Pune project titled "Development of a Classifier Based on Deep/Machine Learning Algorithms for Land-Based Munitions." She has also served as a Tutor for the prestigious 12-week NPTEL course titled “Foundations of Deep Learning: Concepts and Applications,” offered by IIT Madras in collaboration with IISc Bangalore. The course was launched online in January 2026.

Prof. Trupthi has published 188 research articles in indexed journals and international and national conferences. She has received five Best Paper Awards, a Best Employee Award, secured two KSCST research grants, and has also published 5 patents. A member of IEEE and a life member of ISTE, she also serves as a reviewer for several reputed journals. Her research interests include eXplainable AI, Interpretable AI, Machine Learning, Data Science, and Natural Language Processing.

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

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

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