ADOPT IIT MADRAS
Research in ADOPT revolves primarily around AI, Optimisation, Statistics and Design. We develop data driven approaches towards actionable insights in different applications. The team investigates problems of varied interests in different areas ranging from Uncertainty treatment, optimal designs of computer models built in FEM, decision support systems in aerospace, digital twins, design space exploration, AI driven knowledge mangement and computer vision based quality inspection, among others
RESEARCH AREAS
- Computer vision for inspection, quality
- Data --> knowledge management
- CAD+Simulation x LLM
- Self Organising Maps
- Design Space Exploration
- Multi Objective Optimisation - Pareto front navigation
- Discontinuity Detection
- Graphical Optimization
- Mixed Data Visualisation
- Design under Uncertainty
- Non probabilistic approaches
- Convexity models
- Bayesian Analysis
- Surrogate/ Ensemble Assisted Optimisation
- Anomaly Detection
- Transfer Learning
- Shape optimisation
- Size optimization
- Scheduling problems