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42.16'48°N, 83.44'24°W Based In Ann Arbor
// About Me
Suyash
Ph.D. Candidate, MICDE Fellow, University of Michigan

Solving complex flow physics
problems using next generation HPC
& numerical modeling techniques

I'm a Ph.D. Candidate in the Mechanical Engineering Department at the Universiy of Michigan, Ann Arbor with a focus in Computational Fluid Dynamics (CFD). My reseach interests lie in the intersection of the following fields:

Fluid Dynamics

Complex turbulent flow problems that include turbulent boundary layers, flow modulation and separation control, turbulent mixing and similar flow problems.

Numerical Modeling

Develop and use high-order numerical methods based on discontinuous approaches for complex high-speed and/or high-energy flows with shocks and discontinuities.

High-Performance Computing

Develop high-order numerical models with large-scale solving capabilities where the code is portable on large parallel clusters with multi-CPU or GPU framework.

Some Interisting Facts
About Me

As a Ph.D. student I am often found in my lab space that I proudly refer to as "Mi Den". However, unlike the stereotypical Ph.D. student, Mi Den is organized and clean. I like to sip freshly brewed coffee while bathing in the early morning sunlight pouring from the window right next to my desk.

Numbers
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My Resume //

More Background Details

Educational Background

I have a broad educational background spanning the fundamentals of engineering to the depths of scientific computing.

Ph.D. Mechanical Engineering

2016-2020 (expected)
01. -

Mechanical Mengineering, University of Michigan

I am a third-year Ph.D. Candidate with research focus in numerical study of complex flow analysis. At university of Michogan I work with Dr. Eric Johnsen in the Scientific Computing & Flow Physics Laboratory (SCFPL). My research interests are:

  • Fluid Dynamics
  • Numerical Modeling
  • High-Performance Computing
Details +

Ph.D. Scientific Computing (Joint Degree)

2017-2020 (expected)
02. -

Michigan Institute for Computational Discovery and Engineering (MICDE), University of Michigan

This program is intended for students who will make extensive use of large-scale computation, computational methods, or algorithms for advanced computer architectures in their doctoral studies.

Details +

M.Sc. Mechanical Engineering

2014-2015
03. -

Mechanical Mengineering, University of Michigan

Masters Thesis Title: Large-Eddy Simulations of Flow Over A Backward-Facing Ramp With Vortex Generators.
This ressearch explores the separation of flow over a backward-facing ramp with a mean turbulent boundary layer as inflow with no turbulent fluctuations. We reduced the separated region by employing passive vortex generators. This study used the Large-Eddy Simulations approach.

Graduate Certificate: Computational Discovery and Engineering, MICDE, 2015

B.E. Production Engineering

2008-2012
04. -

Fr. Conceicao Rodrigues College of Engineering, University of Mumbai

I majored in Production Engineering with focus on tooling, manufacturing technologies and design of machining systems and tools.

Details +
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My Featured Presentation

Dust is everywhere – not just in your attic or under your bed, but also in outer space. To some astronomers, dust can be annoying as it blocks the light of distant stars, but to others it can be a tool to study the history of our universe, galaxy, and Solar System. For example, astronomers have been trying to explain why some recently discovered distant, but young, galaxies contain massive amounts of dust. These observations indicate that type II supernovae – explosions of stars more than ten times as massive as the Sun – produce copious amounts of dust, but how and when they do so is not well understood. Large-scale numerical simulations of core-collapse simulations enable us to understand and uncover such complex phenomenons.

Lightning Talks: Intern Presentations | Los Alamos National Laboratory
Summer 2019 | LA-UR-19-29247

//Work Experience

Professional and Leadership Roles

Work Experience

  • Computational Sciences Grad. Intern

    Los Alamos National Laboratory
    2019

    At the Los Alamos National Laboratory, I interned as a part of the Co-design Summer School and focused on code and stack portability of a parallel & distributed particle hydrodynamics code used in simulations of astrophysical problems. The performance of the code was evaluated on different HPC platforms.

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    01.
  • Graduate Engineer Trainee

    Godrej & Boyce Mfg. Co. Ltd.
    2012-2013

    At this manufacturing company, I worked for the Corporate Procurement and EXIM Services Division. My responsibilities included capital item procurement for internal businesses and special projects. During my time here, I built financial models for predictions of capital costs based on historical data and purchases that increased savings on budget by 15% for recurring capital items.

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    02.
  • Project Intern

    Godrej & Boyce Mfg. Co. Ltd.
    2011-2012

    As part of my B.E. project for undergraduate studies, I interned in the Security Solutions Division, where, I worked on the analysis of manufacturing process for the production of security safes and safety doors. My B.E. project used, Process Failure Mode and Effects Analysis (PFMEA) to identify the main sources of quality degradation. The new designed process plan imporved the throughput by 60% and reduced downtown time on many stations of the assembly line.

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    03.
  • Summer Intern

    Siemens
    2010

    Summer Intern in the Quality Assurance Department of Switchboards and Circuit Breakers Division. Used metrology to inspect material supplied by vendors and collaborators. Designed and implemented a number of jigs and fixtures to facilitate faster inspection rate and reduce downtime due to low grade materials.

    More Details
    04.

My Research &
Scientific Computing
Skills

//attainments

Scientific Programming

Programming knowledge that helps in numerical modeling and development
01. -

C/C++

CUDA/MPI/OpenMP

Git/Bash

CFD Tools, Modeling and Simulations

Flow solvers and utilities for numerical study
02. -
OpenFOAM
95%
ANSYS
55%
NX-Unigraphics
80%

Design and Graphics

Creative design and visualization utilities/applications
03. -

Adobe Illustrator/InDesign

Paraview/Gmsh

Testimonials//

Reviews

Recommendations
& Testimonials

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