About Prof. Ashish Pal#
Prof. Ashish Pal is an Assistant Professor in the Department of Civil Engineering at the Indian Institute of Technology Bombay. He leads RISE Lab — Resilient Infrastructure and Smart Engineering Lab, a research group developing sensing, AI, and digital-twin methods for smart and resilient civil infrastructure systems.
His work brings together structural engineering, sensing technologies, computer vision, machine learning, scientific computing, and digital twins. A central theme of his research is to develop intelligent methods that are not only data-driven, but also guided by physical principles and engineering knowledge.
Academic Background#
Prof. Pal’s academic training is in civil and structural engineering, with research experience across structural dynamics, computational mechanics, system identification, sensing, and artificial intelligence for engineering systems.
His research journey has involved combining classical structural engineering concepts with modern computational tools such as machine learning, computer vision, full-field sensing, and scientific machine learning.
Research Journey#
The motivation behind RISE Lab comes from a simple question:
How can civil infrastructure systems become more intelligent, reliable, and resilient over their service life?
Traditional structural engineering provides strong physical models, but real infrastructure systems are affected by noise, uncertainty, incomplete measurements, ageing, environmental variability, and limited inspection data. Modern AI and computer vision offer powerful tools, but they must be made reliable, interpretable, and physically meaningful for engineering use.
RISE Lab aims to bridge these two worlds by developing methods that combine data, sensing, structural mechanics, and machine intelligence.
RISE Lab#
RISE Lab stands for Resilient Infrastructure and Smart Engineering Lab.
The group focuses on developing methods for infrastructure health monitoring, prognosis, sensing, digital twins, and decision support. The goal is to contribute toward infrastructure systems that can sense, interpret, predict, and support maintenance decisions.
The lab’s research philosophy is to combine:
- engineering mechanics,
- sensing and measurement,
- computer vision,
- machine learning,
- scientific computing,
- uncertainty quantification,
- and digital twin modelling.
For Students and Collaborators#
RISE Lab is being built as a research group for students who are interested in solving civil infrastructure problems using modern computational and experimental tools.
Students interested in structural health monitoring, smart infrastructure, computer vision, AI/ML, digital twins, physics-guided sensing, and infrastructure resilience are encouraged to explore the Research page and the Join the Group page.
Researchers, industry partners, and public agencies interested in infrastructure monitoring, sensing, digital twins, or resilient infrastructure systems are welcome to connect through the Contact page.