CV

General Information

Full Name Vishal Indivar Kandala
Date of Birth 30th May 1996
Languages English, Telugu, Hindi, Tamil, Spanish
Email vishalkandala@tamu.edu
Phone +1 (979) 250-7375
Website vishalkandala.me
GitHub VishalKandala
LinkedIn vishalkandala

Education

  • 2021 - Present
    Ph.D., Mechanical Engineering
    Texas A&M University, College Station, TX
    • Advisor: Dr. Iman Borazjani
    • Dissertation: Data-Driven Turbulence Closure Models using Filtered Density Function Methods
  • 2019 - 2021
    M.Eng., Aerospace Engineering
    Texas A&M University, College Station, TX
    • GPA - 3.8/4.0
  • 2014 - 2018
    B.Tech., Mechanical Engineering
    VIT University, Chennai, India
    • GPA - 8.0/10.0

Research Interests

  • Primary Focus
    • Turbulence modeling
    • Data-driven closure development
    • Filtered Density Function (FDF) methods
    • Large Eddy Simulation (LES)
  • Computational Methods
    • High-performance computing
    • Eulerian-Lagrangian methods
    • Immersed boundary methods
    • Parallel computing
    • Numerical methods for PDEs
  • Application Areas
    • Turbulent scalar transport
    • Combustion modeling
    • Fluid-structure interaction
    • Biomedical flows
    • Particle-laden flows
  • Emerging Interests
    • Physics-informed machine learning
    • Scientific machine learning for turbulence
    • Hybrid numerical-ML approaches

Research Experience

  • Aug 2021 - Present
    Graduate Research Assistant
    Scientific Computing and Biofluids Lab, Texas A&M University
    • Advisor: Dr. Iman Borazjani
    • PICurv - Eulerian-Lagrangian Solver for Turbulent Scalar Transport (Jan 2024 - Present): Developing a high-fidelity solver for scalar Filtered Density Function (FDF) transport within the CURVIB immersed boundary framework. Implementing Eulerian-Lagrangian coupling and solving stochastic particle methods (Langevin equation) to model sub-grid scalar fluctuations in turbulent flows. Building a modular, well-documented, open-source tool with focus on robust software engineering. Optimizing parallel scalability to handle millions of particles across 1,000+ cores using C/C++, MPI, and PETSc.
    • Biomedical Computational Mechanics Projects (May 2021 - Dec 2023): Conducted high-resolution, unsteady fluid-structure interaction simulations of pulsatile blood flow in LVAD outflow grafts. Analyzed wall shear stress, vorticity, and flow stasis to quantify thrombosis and hemolysis risk. Presented detailed analysis at the 76th Annual APS Division of Fluid Dynamics meeting. Developed physics-informed regression model for right ventricular pressure-volume dynamics in collaboration with the Cardiovascular and Computational Biomechanics Lab, achieving 40-60% reduction in prediction error. Manuscript in preparation for Nature Scientific Reports.
  • Jun 2017 - May 2018
    Undergraduate Research Assistant
    VIT University, Chennai, India
    • Advisor: Dr. Harish Rajan
    • Conducted design optimization study for modified double-spiked reentry capsule using ANSYS Fluent to mitigate aerothermal loads. Achieved 25% drag reduction and 16% surface temperature reduction for optimized configuration. Technical report available.

Teaching Experience

  • Aug 2019 - May 2024
    Teaching Assistant
    Texas A&M University
    • STAT 201 - Statistical Methods (Fall 2019, Spring 2020, Fall 2020): Instructed 200+ students from diverse academic backgrounds in statistical inference. Developed materials emphasizing practical applications and conceptual understanding.
    • MEEN 461 - Heat Transfer (Spring 2021, Fall 2021, Spring 2022): Taught graduate students and senior undergraduates from ME, AE, and ChemE programs. Created assignments, projects, and exams; delivered lectures; conducted tutorials using MATLAB and Python.
    • MEEN 464 - Heat Transfer Laboratory (Fall 2022, Spring 2023, Fall 2023, Spring 2024): Supervised small teams (4-5 students) conducting heat transfer experiments. Developed lab manuals and experimental protocols; managed laboratory equipment.

Professional Experience

  • Jan 2018 - Aug 2018
    Product Development Intern
    EPC Electrical Pvt. Ltd.
    • Co-led the end-to-end design, fabrication, and deployment of a novel, ultra-low-cost CNC machine, achieving time-to-market under 90 days
    • Reduced customer operating costs by 60% by implementing GRBL open-source firmware and control platform
  • May 2017 - Aug 2017
    R&D Engineering Intern
    BHEL (Bharat Heavy Electricals Limited)
    • Selected as one of 20 interns from 300+ applicants to contribute to R&D at India's largest energy equipment producer
    • Developed MATLAB application to compute heat transfer coefficients in industrial condensers, saving $2,500 annually

Honors and Awards

Professional Service & Leadership

  • 2023
    Judge
    Texas Science Fair
    • Evaluated student research projects and provided feedback to young researchers
  • 2021 - 2023
    Department Representative
    TAMU Graduate and Professional Student Government
    • Represented mechanical engineering graduate students in university governance
  • 2020 - 2022
    Contributing Writer
    Ingenium Blog, Texas A&M Engineering
    • Wrote articles about graduate student experiences and research for university engineering blog
  • 2016 - 2017
    Co-Founder & Head of Aerodynamics
    Team Aviators International (SAE Aero Design)
    • Founded first SAE Aero Design team at VIT University; led 5-member aerodynamics sub-team
    • Secured $5,000+ in funding through workshops and sponsorships
  • 2015 - 2016
    Lead Braking Engineer
    Team Saksham (Baja SAE India)
    • Designed and fabricated braking system; achieved 5th place nationally (100+ teams)
    • Contributed to fundraising efforts securing $3,000+ for components and travel

Technical Skills

  • Programming & HPC
    • C/C++, Python, MATLAB
    • MPI, OpenMP, PETSc
    • CUDA (exposure)
  • CFD & Simulation
    • ANSYS Fluent, OpenFOAM
    • STAR-CCM+ (exposure), Converge (exposure)
    • Cantera
  • Numerical Methods
    • Finite Volume Method, Finite Element Method
    • Immersed Boundary Methods, Spectral Methods
    • Time Integration (RK, fractional-step)
    • Iterative Solvers (GMRES, Krylov)
  • Meshing & Pre-processing
    • ICEM CFD, Pointwise, Gmsh
    • ANSYS Meshing
  • Post-processing
    • Tecplot, ParaView, EnSight
    • Matplotlib
  • CAD
    • SolidWorks, Creo, SpaceClaim
  • HPC Systems
    • National supercomputing resources
    • Cluster management, job scheduling
  • Version Control
    • Git, GitHub

Professional Memberships

  • American Physical Society (APS) – Division of Fluid Dynamics

References

Dr. Iman Borazjani Ph.D. Advisor, Professor, J. Mike Walker '66 Department of Mechanical Engineering, Texas A&M University. Email: iman@tamu.edu
Dr. Reza Avazmohammadi Research Collaborator, Associate Professor, Department of Biomedical Engineering, Texas A&M University. Email: rezaavaz@tamu.edu
Dr. Harish Rajan Undergraduate Research Advisor, Associate Professor, School of Mechanical Engineering, VIT University, Chennai. Email: harish.r@vit.ac.in