Google Scholar Profile

About

I am Junior research fellow and PhD research scholar in disruptive technologies lab in the department of computer science and information systems at BITS Pilani, Pilani Campus under the supervision of Prof. Shashank Gupta. My research interests centrally focusses on the interdisciplinary aspects of computer vision in vehicle-bridge interaction modelling for indirect structural damage assessment of long-span bridges. My work addresses vital interdisciplinary research problem by integrating artificial intelligence, digital twin modelling, vehicle-bridge interaction, and development of  adaptive controller systems. The research has strong relevance to intelligent infrastructure systems and AI-assisted decision support for safety-critical environments.

Educational Background:

• PhD, Department of Computer Science & Information Systems Birla Institute of Technology and Science, Pilani (Nov. 2024- Ongoing)
• B.Tech., Department of Computer Science & Engineering CGPA-8.65 Dr. APJ Abdul Kalam Technical University, Lucknow (Nov. 2020 - June 2024)
• Class 12th , Central Board of Secondary Education Percentage-88.6 Laxmi Prasad Memorial Public School (2018-19)
• Class 10 th , Central Board of Secondary Education CGPA-10 Don Bosco Sr. Sec. School (2016-17)

Courses Undertaken as Teaching Assistant

• Compiler Construction CS F363 (Spring, 2025-26)
• Theory of Computation CS F351 (Autmn, 2025-26)

Research Interests

• Vehicle-Bridge Interaction Modelling
• Non-Stationary Vibration Assessment
• Finite-Element Modelling-based Digital Twin
• Cyber Physical Systems

Publications

• Nidhi Agrawal, Rehan Nath, Aashritha Lakshmi Mallampati, Keshav Goel, Shashank Gupta, Shuvendu Narayan Patel, Devendra Gokul Patil. “Integrated Finite Element-Based Digital Twin Model and Zero-Shot Transfer Learning Approach for Structural Dynamics and Damage Detection.” Journal of Supercomputing, Springer, 2025.
• Aditi Singh, Monika Sharma, Nidhi Agrawal, Smriti Sharma, Oshin Rawlley, Shashank Gupta, Vinay Chamola. “Multi-Fidelity Digital Twin-Driven Model for Crack Segmentation and Delamination-Aware Damage Detection” Computer & Structures, Elsevier, 2026. (in Press)
• Nidhi Agrawal, Abhishek Bajpai, Kumkum Dubey, BDK Patro. "An Effective Approach to Classify Fraud SMS Using Hybrid Machine Learning Models." 8th I2CT- International Conference for Convergence in Technology, April 7-9, 2023, in Pune, India (specifically at Taj Vivanta, Hinjewadi), organized by the IEEE Bombay Section, 2023.