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outreach
1. Volunteer at Teach India
Outreach, Worked with a local NGO, Sewa Bharti, to teach underprivileged kids Science and Math, Aug 2007 - Mar 2008
2. Instructor at STEM Mentoring Initiative at SBU
Outreach, Taught game-programming in Python in an underserved school under STEM Mentoring Initiative at SBU, Spring 2015
3. Webinar Organizer at Sustainable Horizons Institute
Outreach, Organizer of quarterly STEM webinars geared towards students and early career professionals, Spring 2017 - current
4. Software Carpentry Instructor
Outreach, Conduct workshops related to Unix, Git and Python in education institutions, March 2019 - current
5. A Practical Introduction to Debugging
Outreach, This workshop introduced debugging tools such as GNU's GDB, Valgrind and DDT to tackle the bugs encountered in high performance computing, April 13, 2019
publications
1. Macro and Micro Issues in Turbulent Mixing
2. Recent Progress in Turbulent Mixing
3. Atomic Scale Mixing for Inertial Confinement Fusion Associated Hydro Instabilities
4. Turbulent Transport at High Reynolds Numbers in an Inertial Confinement Fusion Context
5. Predictive Simulations For Problems with Solution Non-Uniqueness
6. Numerical Study of Nonlinear Effects in Buoyancy-driven Variable-density Turbulence
7. Micro-scale Thermal Response Modeling of AVCOAT-like TPS
8. Rayleigh-Taylor Instability in Buoyancy-driven Variable Density Turbulence
9. Micro-scale Thermal Response Modeling of an AVCOAT-like Thermal Protection System
10. Study of Inert Simulated Particle Transportation in a Moving Shock/Pressure Wave Generated by Electrostatic Discharges
11. Numerical Simulations of Particle Dynamics in Electrostatic Discharge Plasma
talks
1. Turbulent Mixing in Richtmyer-Meshkov Instability in an ICF Like Geometry
2. Non-linear Depletion in Homogeneous Buoyancy Driven Turbulence
3. Turbulent Transport Coefficients in Richtmyer-Meshkov Instability using FT/LES/SGS
4. Numerical Study of Turbulent Transport at High Reynolds number in Richtmyer-Meshkov Instability
5. Development of a Hydrodynamic Code cFluid (FT/LES/SGS) for Turbulent Transport Applications
6. 3D LES Simulations of Richtmyer-Meshkov and Rayleigh-Taylor instabilities using Front-tracking
7. Statistical description of transitional length scales in turbulent mixing
8. Hybrid walker approach to conduction-radiation coupling in micro scale ablation modeling
9. Micro-scale thermal response modeling of Avcoat-like TPS
10. Comparison of Inert Simulated Particle Transport in a Moving Shock Wave with Experiments
11. Numerical study of impact of interparticle interactions on particle dynamics in lab generated spark discharge
12. Investigation of low to moderate Reynolds number fluid flows using the lattice hydrodynamics model
teaching
1. Content Creator
K-12 Education, Created and curated content for V2Learn, a K-12 self-paced e-learning tool for Mathematics, Fall 2009
2. Instructor
Undergraduate Course, Business Mathematics (calculus, linear programming, statistics) at IIPM, Gurgaon (India), Spring 2009
3. Teaching Assistant
Undergraduate Course, BUS 220 (Introduction to Decision Sciences) at Stony Brook University, Fall 2015
4. Lecturer
Graduate Seminar Course: MAT696, Computational tools and techniques for STEM, Spring 2019
Course Description: Computation is now an integral part of the advancement of science, alongside theory and experiment. Computational modeling, analysis and visualization capabilities offer widespread applications across many disciplines. In this course, a quick and practical introduction to writing reliable and sustainable software in Python utilizing good practices and standard development tools will be presented. This includes main principles of object oriented programming, unit testing, version control, debugging, and performance optimization tools. The course will provide a basic understanding of computer architecture and memory hierarchy, data structures, including external libraries in the code, and handling large datasets. Some standard software in computational science, such as VisIt for data visualization and Numpy and Scipy for post-processing will be used. Additionally, an introduction to parallel programming through the use of Message Passing Interface (MPI) will be covered using mpi4py.
workshops
1. High Performance Computing Workshop
Workshop, Stony Brook University, Aug 23-24, 2012
2. GPGPU Workshop
Workshop, Institute for Advanced Computational Science, Stony Brook University, Aug 23, 2013
3. OpenMP/MPI Workshop
Workshop, Institute for Advanced Computational Science, Stony Brook University, Jan 23-24, 2014
4. Software-Development Summer School for Computational Chemistry and Materials Modeling (SICM 2)
Summer School, Institute for Advanced Computational Science, Stony Brook University, July 8-18, 2014
5. OpenMP Workshop
Workshop, Institute for Advanced Computational Science, Stony Brook University, Aug 21, 2014
6. OpenMP and Vectorization Training
Workshop, National Energy Research Scientific Computing Center (NERSC), LBNL, Oct 28, 2014
7. OU Supercomputing in Plain English: A High Performance Computing Workshop Series
Workshop Series, University of Oklahoma, Jan 20 - Apr 28, 2015
8. Argonne Training Program on Extreme-Scale Computing
Summer School, Argonne National Lab, Aug 2-14, 2015