Education

Research

Research interests

• Combustion Modeling
• Turbulence Modeling
• Lattice Boltzmann Method
• Numerical Methods
• High Performance Computing

Select publications

See curriculum vitae for more publications

• Akshay Dongre, Song-Lin Yang (2025).
  Physics of Fluids
  Finite volume incompressible lattice Boltzmann method simulation of pulsatile blood flow in arteries with multiple stenosis: A hemodynamic analysis, 37(11), 113116.
  
• Akshay Dongre, John Ryan Murdock, Song-Lin Yang (2025).
  Mathematics
  Finite volume incompressible lattice Boltzmann framework for non-Newtonian flow simulations in complex geometries, 13(10), 1671.
  
• Ashoke De, Akshay Dongre (2015).
  Flow, Turbulence, & Combustion
  Assessment of turbulence-chemistry interaction models in MILD combustion regime, 94, 439.
  
• Akshay Dongre, Ashoke De, Rakesh Yadav (2014).
  International Journal of Spray and Combustion Dynamics
  Numerical investigation of MILD combustion using multi-environment Eulerian probability density function modeling, 6(4), 357.
  
• Ashoke De, Akshay Dongre, Rakesh Yadav (2013).
  ASME Turbo Expo 2013: Power for Land, Sea, and Air
  Numerical investigation of Delft-jet-in-hot-coflow (DJHC) burner using probability density function (PDF) transport modeling, GT2013-95390, V01BT04A030.
  

Akshay Dongre completed his PhD in Mechanical Engineering from Michigan Technological University in 2024, where his dissertation developed a novel incompressible finite volume lattice Boltzmann framework for simulating pulsatile flows in complex geometries. His doctoral research focused on hemodynamic simulations, investigating blood flow dynamics in arteries with multiple stenoses and aneurysms while capturing non-Newtonian effects and critical hemodynamic indices such as wall shear stress and oscillatory shear index. He earned his master's degree (MTech) in Aerospace Engineering from the Indian Institute of Technology Kanpur, where he assessed turbulence-chemistry interaction models in MILD combustion regime, and his bachelor's degree (BEng) in Mechanical Engineering from the University of Pune.

Currently a postdoctoral researcher in the Physics Department at UMass Dartmouth, Akshay conducts the first ever three-dimensional, full-star simulations of Type Ia supernovae using the FLASH framework with block-structured adaptive mesh refinement. His work replaces ad hoc detonation triggers with experimentally validated, first-principles-based turbulence-driven deflagration-to-detonation transition (tDDT) mechanism. By systematically exploring how progenitor central density, ignition topology, and turbulent conditions influence explosion energetics and nucleosynthesis, his simulations bridge the gap between theoretical astrophysics and observational astronomy.

His research interests span computational fluid dynamics (CFD), turbulence and combustion modeling, lattice Boltzmann method, high-performance computing, hypersonic flows, and the emerging field of quantum computing for CFD applications. Akshay has published in peer-reviewed journals including Physics of Fluids and Mathematics, with additional manuscripts in preparation and under review. He has presented his research at international conferences including the APS Division of Fluid Dynamics, the APS Global Physics Summit, and ASME Turbo Expo. Beyond his technical pursuits, Akshay has a passion for code development, photography, creative writing, and the culinary arts.

Additional links

• LinkedIn
• Google Scholar

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