- I have been working at SINTEF since 2011 and did my post-doctoral fellowship at CSIRO, Australia. My research involves developing novel computational tools related to: (a) Artificial Intelligence , (b) Hybrid Modelling combining Physics based models, with AI and (c) Computational fluid dynamics.
- Application areas of research: Digital twin , Agentic Workflow, Industrial processes, Wind energy, Autonomous systems, Aviation (Drones), and chemical engineering process .
Education
1. Ph.D. : I completed my Ph.D in 2008 in application of unsupervised machine learning and computational fluid dynamics for identifying flow structure dynamics in Industrial processes.
2. Masters (and Thesis) : Masters in Chemical Enginnering at BITS-Pilani, India in 2004. Thesis: Application of artificial intelligence in process industry for fault classification using Support Vector Machine and Evolutionary computation.
Competence and research areas
Current Research: Agentic AI and Large Language Models in Scientific workflows , Scientific Machine Learning , Machine Learning (ML) and Artificial Intelligence (AI), Uncertainty-Aware AI, Numerical modelling – Physics-based models, Computational Fluid Dynamics, Turbulence, Reduced order modelling.
Applied Research Domain: Wind Energy, Autonomous Drones, Autonomous Ships, Process Industry, Aviation, Health.
Tools enable process design, decision-making, prediction, monitoring, etc.
Linkedin
https://www.linkedin.com/in/mandar-tabib-60191016
ORCID
https://orcid.org/0000-0002-5836-9201
