Pranav
Chougule
Robotics & AI for Infrastructure NDE
I design and deploy robotic sensing systems that make infrastructure evaluation faster, safer, and more reliable — combining multimodal perception, machine learning, and autonomous platforms.
I design and deploy robotic sensing systems that make infrastructure evaluation faster, safer, and more reliable — combining multimodal perception, machine learning, and autonomous platforms.
Research Focus Areas
Ultrasonic Pulse Velocity
UPV signal acquisition & ML interpretation
Acoustic Emission
Real-time structural health monitoring
Hyperspectral Imaging
Material characterisation at scale
Gaussian Splatting
3D scene reconstruction for NDE
Vision-Language Models
Florence-based VLM for NDE reasoning
Laser Surface Monitoring
High-resolution displacement sensing
Advancing the frontier of autonomous infrastructure assessment
My doctoral work sits at the convergence of robotic systems, multimodal sensing, and artificial intelligence — applied specifically to nondestructive evaluation of civil infrastructure. The stakes are concrete: bridges, buildings, and manufactured structures that society depends on.
I bring together ultrasonic sensing, acoustic emission analysis, 3D reconstruction via Gaussian Splatting, and Vision-Language Models to give robotic platforms the perceptual intelligence needed for autonomous field evaluation.
Affiliation
Drexel University
Degree
PhD — Robotics & AI for Infrastructure NDE
Contact
pranavc2204@gmail.comProfiles