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

AI in Engineering Design (computer vision for inspection, data --> knowledge management, CAD+Simulation x LLM)

Applied Data Science & Visual Analytics (iSOM, surrogates)

Uncertainty Quantification (treating uncertainties, MDO, reliability)

ML driven Accelerated Analytics (Advanced ML algorithms)

Design Optimisation (Shape, size and topology)

TEAM

Members who work/worked with me are listed in this page with details of their work. Clicking on their picture is likely to take your to their more detailed professional profile such as their webpage or LinkedIn profile. If you are interested to know more about the work of the current members, you can write to them directly.

DD- Dual Degree. BTech- Engineering Design & MTech - Automotive or Biomedical specialization

COLLABORATORS

"It is the long history of humankind that those who learned to collaborate and improvise most effectively have prevailed." - Charles Darwin

ACADEMIC

NATIONAL