Suraj Pawar Email & Phone Number

Houston, TX, US

London, England, GB

Responsible for innovation, algorithm development, and productizing deep learning applications for a wide range of problems in the energy industry.

Stillwater, OK, US

• Led scientific ML research for Earth system modeling, achieving significant contributions and technological advancements.
• Proposed an equivariant CNN model for turbulence closure modeling by incorporating physical symmetries as constraints, achieving a 32% reduction in loss and improved correlation compared to a CNN, along with stable.
• Integrated Kalman filtering and transformer neural operator to learn closure models for large eddy simulation of turbulent flows, reducing run time by 40% in the a posteriori deployment.
• Engineered a novel probabilistic surrogate model using deep-ensembles for turbulent flow reconstruction tasks, improving prediction accuracy by up to 20% and reducing uncertainty by up to 10%.
• Implemented a nonintrusive ROM framework using an LSTM network for data-driven autoregressive forecasting of geophysical flows, achieving a 100X computational speedup in the data assimilation loop.
• Developed a multi-objective evolutionary strategy algorithm for hyperparameter optimization and automatic pruning of CNNs used in surrogate modeling of geophysical flows, reducing the model’s computational complexity.

Golden, CO, US

• Designed a multi-fidelity physics-informed neural network framework for wake modeling of a wind turbine, attaining a maximum relative percentage error for the kinetic energy flux of less than 1%.
• Worked with a cross-functional team of engineers and data scientists to integrate the model into NREL’s wind farm optimization toolkit.

Lemont, IL, US

• Led the development of a distributed reinforcement learning library for scientific simulation on supercomputers, contributing to a 30% computational acceleration in the convergence of steady-state CFD simulation.
• Deployed and analyzed the scalability of the Ray library coupled with OpenFoam on 512 nodes with 8 CPUs each.

1. Performed preliminary design of the propulsion system of the autonomous underwater vehicle which can tow a large payload2. Verified and validated RANS Gamma-Re Theta transition model with experimental results for open water performance of ducted propeller KA-4-703. Developed a self-propulsion model for the autonomous underwater vehicle to predict the.

1. Achieved on-time delivery of 94% of outsourced projects components like castings, forging, raw material, fasteners, Hardware items multiple projects. Represented the department in a special task force formed to expedite the completion of export projects3. Started maintaining the project progress report to monitor the progress of project completion and.

Mumbai, Maharastra, IN

1. Developed a 2-Dimensional Finite Difference Transient Thermal model to predict the temperature distribution in the cold-rolled aluminum coil during the annealing process which will be used by process engineers at the plant.2. Designed an experiment to determine the variation of thermal contact conductance of aluminum coil with applied compressible.

Doctor Of Philosophy - Ph.D, Mechanical Engineering

Master’S Degree, Mechanical Engineering

Bachelor Of Technology (B.Tech.), Mechanical Engineering