RISE Lab — Resilient Infrastructure and Smart Engineering Lab is a growing research group in the Department of Civil Engineering at IIT Bombay.
The group works on smart and resilient infrastructure systems through structural health monitoring, physics-guided sensing, computer vision, AI/ML, digital twins, prognosis, and decision support.
Faculty Lead#
Prof. Ashish Pal#
Department of Civil Engineering
Indian Institute of Technology Bombay
Research interests include structural health monitoring, physics-guided sensing, computer vision, AI/ML, digital twins, scientific machine learning, system identification, uncertainty quantification, and resilient infrastructure systems.
Current Group#
Dr. S. S. Jayakrishna#
Working with the group on research related to structural health monitoring, sensing, AI/ML, and smart infrastructure systems.
Saransh Kar#
Working with the group on research related to structural health monitoring, sensing, AI/ML, and smart infrastructure systems.
Former Students#
Anushka Singh#
Worked with the group on multiple research projects related to infrastructure monitoring, sensing, AI/ML-assisted response interpretation, and computational tools for structural engineering applications.
Growing Research Group#
RISE Lab is actively growing and welcomes motivated students who want to contribute to the early development of the group’s research culture, computational tools, experimental directions, and long-term identity.
The group is especially interested in recruiting PhD students, M.Tech students, and motivated B.Tech students interested in smart infrastructure, structural health monitoring, physics-guided sensing, computer vision, AI/ML, digital twins, scientific machine learning, and infrastructure resilience.
Prospective Student Profiles#
PhD Students#
Ideal for students interested in long-term research on smart infrastructure, structural health monitoring, physics-guided sensing, computer vision, digital twins, scientific machine learning, system identification, uncertainty quantification, and resilient infrastructure systems.
M.Tech Students#
Ideal for students interested in focused thesis projects involving structural dynamics, finite element methods, computer vision, sensing, digital twins, physics-informed learning, and AI/ML for civil infrastructure.
B.Tech Students#
Ideal for motivated students seeking early exposure to research through exploratory projects, coding-based assignments, literature reviews, simulations, and computational demonstrations.
Research Opportunities#
Interested students are encouraged to visit the Join page for current research directions and application instructions.