Nupur Mohanty

Led ML-driven projects for structural health monitoring of railway bridges and built comprehensive ML pipelines, including data imputation, preprocessing, and evaluation. Developed dashboards to assist engineers with decision-making using multimodal data and mentored junior analysts while supporting interdisciplinary decision-making teams.

Conducted Ph.D. research on structural health assessment of curved beams using soft computing techniques. Built ANFIS models for vibration prediction and damage detection using real-time Structural Health Monitoring (SHM) data.

Taught civil engineering subjects to undergraduate and postgraduate students. Mentored 5 M.Tech students in ML-based structural projects, guiding their research and development efforts.

Currently pursuing a Post Graduate Certificate in Applied Data Science and AI. This program focuses on building ML pipelines and advanced techniques including NLP, generative AI, and deep learning.

Activities and societies: Thesis: Structural Health Assessment of Curved Beams Using Soft Computing Technique

Completed a Ph.D. in Structural Engineering with a focus on ML applications in structural health monitoring. Led the development of predictive models using soft computing techniques like ANFIS for vibration analysis and damage detection in curved beams.