Dr. Mridusmita Roy Choudhury

Assistant Professor

Dr. Mridusmita Roy Choudhury is an academician and researcher specialising in polymer composites, biomaterials, biomimicry, and conventional and non-conventional manufacturing processes. She is currently serving as an Assistant Professor in the Department of Mechanical Engineering at Dayananda Sagar University, Bengaluru, and has more than five years of combined teaching and research experience across reputed academic and research institutions in India. She obtained her PhD in Manufacturing Engineering from the National Institute of Technology (NIT) Meghalaya in 2021 and completed her M.E. and B.E. from Gauhati University. During her doctoral studies, she was awarded the MHRD Fellowship, Government of India. She also received DST-SERB sponsorship to present her research at the MATADOR Conference, held from 8–10 July 2019 in Hangzhou, China, where her work received the Best Paper Award.

Before joining Dayananda Sagar University, Dr. Choudhury served as an Assistant Professor in the Department of Mechanical and Industrial Engineering at Manipal Institute of Technology (MIT) for three years and as an Ad hoc Assistant Professor at NIT Andhra Pradesh for two years. Her professional experience also includes serving as an Assistant Project Engineer at IIT Guwahati, Assam. She is also actively involved in research supervision and is currently co-guiding a research scholar from Manipal Institute of Technology. Dr. Choudhury has established a steadily growing research profile with more than 25 publications in SCI/Scopus-indexed journals and reputed international conferences, in addition to seven book chapters. Her research has received over 300 citations, with an h-index of 11. Her interdisciplinary research interests encompass primary and secondary manufacturing of polymer composites, biomaterials, biomimicry and bio-inspired engineering, sustainable materials, conventional and non-conventional manufacturing, machining of composite materials, and AI/ML-assisted manufacturing and materials research.

Alongside her core research, she has actively integrated Artificial Intelligence (AI) and emerging digital technologies into Mechanical Engineering education and research. She has contributed to embedding AI-driven concepts and tools across core Mechanical Engineering courses and aligning relevant curriculum components with NVIDIA Deep Learning Institute (DLI) offerings, thereby promoting interdisciplinary, industry-oriented, and future-ready learning. Her research also incorporates AI and Machine-Learning methodologies for data-driven modelling, prediction, optimisation, and analysis of materials and manufacturing processes. To continually enhance her expertise and teaching practices, she has participated in Faculty Development Programmes (FDPs) focused on AI, emerging digital technologies, and their applications in engineering education and research.

Research Profiles:

Scopus:https://www.scopus.com/authid/detail.uri?authorId=57202282730

ORCID:https://orcid.org/0000-0002-3565-0914

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