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Dr. Tavish Pattanayak

Assistant Professor,
Department of Mechanical Engineering

Aerospace, System Design and Optimization, Uncertainty Quantification
Chamber No: 258 G
BITS Pilani – Dubai Campus, International Academic City, Dubai, UAE.

QUEST – Quantified Uncertainty in Engineering Systems & Technologies

Emerging technologies fail for the lack of disciplined uncertainty management. Data-driven, uncertainty-aware methodologies are developed that tell engineers and program managers where uncertainty matters the most and where limited resources can be deployed for maximum de-risking impact. 

What I expect from you

Own your project; Communicate early; Use AI responsibly; Produce reproducible work; Write as you go; Attend lab meetings;

What you can expect from me

1-on-1 meetings; Direct technical feedback; Industry connections; Clear timeline expectations;

How to Apply

Send a cold email with 1–2 sentences on your background, 1 specific project track choice, 1 relevant past work, and your semester availability. (Note: No specific GPA or prior research required, intellectual curiosity and discipline matter most)
"For a successful technology, reality must take precedence over public relations, for nature cannot be fooled."

Richard Feynman