• Developed proprietary algorithms, performed grid independence analysis and solved turbulent flow equations using Computational Fluid Dynamics and numerical methods, to obtain pioneering high-resolution data of turbulent flow fields at high Reynolds numbers. • Utilized MPI, OPENMP parallelization modules to optimize the proprietary computational algorithm and achieved 80% reduction in physical time required for computation. • Innovatively formulated a state-of-the-art particle model to study turbulent heat and mass transport. • Explored the intricacies involved in turbulent drag reduction using computational modeling and simulation. • Developed insights, using statistical tools, about practical flow situations occurring in turbulent dispersion, turbulent mixing and in turbulent boundary layer flows. • Mentored research assistants in the Computational Transport Processes laboratory.

• Mentored 3 Capstone project teams in Advanced Process Design. • Tutored and evaluated an undergraduate class of 45 students in process Design I, Advanced Process Design and Chemical Kinetics courses.

• Successfully completed the multiple stages involved in auto-thermal reforming process for hydrogen production: (a) design; (b) calculation of optimal feed ratios using MATLAB (c) fabrication; (d) analysis and validation of results.