Stochastic Computational Modeling Lab
Welcome to SCM Lab!
What do we do?
We make computational models for stochastic (uncertain) engineering problems (mostly for structural engineering). Following are the main research interests of SCM Lab:
Digital Twin
Uncertainty Quantification (UQ)
Stochastic modeling
Physics-informed machine learning
Reliability analysis
Structural health monitoring
Reliability-based design optimization
To know more about research, click here.
How do we do?
We develop efficient methodologies to deal with uncertain computational mechanics problems. Such methods are called the Surrogate model or, Meta-model. Along with this, we develop physics-informed machine learning approaches for computational mechanics and structural engineering problems.
Opportunities
SCM Lab always looks for self-motivated candidates to join as Ph.D. or M.Tech researchers. Candidates who have research interests in uncertainty quantification, reliability analysis, stochastic dynamical systems, and physics-informed machine learning are always encouraged to contact Dr. Biswarup Bhattacharyya via biswarup@ce.iith.ac.in. Please always attach your current resume. Students having JRF UGC/CSIR/DST fellowships from Mathematics/Physics backgrounds are also encouraged to contact me.
B.Tech students from IITH, who want to work on the above-mentioned topics can stop by the Team Leader's office or contact via email.
Ph.D. researchers who have submitted or defended their Ph.D. thesis, are encouraged to contact Dr. Biswarup Bhattacharyya to discuss a possible Postdoctoral position. We support different national-level postdoctoral fellowships.