Aniruddha Saha

I am a PhD student in Sobhani-Lab at Cornell University. I am interested in innovative computational simulations of fluid mechanical processes.

Sobhani-Lab, Cornell University, Graduate Research Assistant Ithaca, NY [2021-present]

• Created a novel simulation of flames in tailored porous structures, that reduces elaborate design and testing trials.

• Implemented an efficient algorithm to optimize design by mimicking genetics where the best chromosome pool is selected.

• Developed codes to simulate nano-scale diffusion process to understand the pathway of molecules, otherwise not observable.

• Implementing new techniques for optimizing structures using a mathematical pattern that will improve combustion

efficiency, reduce emissions and enhance manufacturing process.

Heat Inverse, Product Development Intern Ithaca, NY [2022]

• Developed codes to simulate patented thin-films for cooling, by releasing heat to outer-space using specific wavelengths and

cool by ~5F, without actively using energy and emitting harmful greenhouse gases.

Yumlane, Qwikpik Technology, Engineering Consultant Bengaluru, India [2021]

• Designed an indigenous pizza oven from scratch using components that can be replaced using local spare parts. Expected to

work in high indoor temperatures and dust levels of India with minimal maintenance.

• Worked out its production plan with manufacturer that aims to reduce oven costs by 300% and enabling small stores to

increase profits by 400% using our frozen pizza.

Kumar-Lab, Indian Institute of Science, Research Assistant Bengaluru, India [2019-2021]

• Performed and published the first numerical study in the world on coalescence of polymeric droplets as a sophomore intern.

• Demonstrated accurate coalescence time-scale that can create faster 2D/3D printings by minimizing droplet detachment time.

• Developed a new mathematical model to visualise fluid movement in a rotating environment using least computation power.

Cornell University, Ph.D. in Mechanical Engineering (Minor in Operations Research) Ithaca, NY [2021-2024]

• Relevant coursework: Mathematical Programming, Causal Machine Learning, Advanced Fluid Mechanics, Strategic

Management of Technology and Innovation, Product Management, Risk Simulation & Monte Carlo Methods. [GPA : 4.11/4]