About Me
Hello! I am Majid Allahyari, currently a senior research data scientist at Walmart. I’m interested in applying AI techniques and computational methods to solve real world problems. I have experience in deep learning, generative AI, computer vision, computational science and high-performance computing (HPC). I’m also interested in sharing and publishing research outcomes.
Selected Publications
Peering inside a cough or sneeze to explain enhanced airborne transmission under dry weather
K Liu, Majid Allahyari, JS Salinas, N Zgheib, S Balachandar., Scientific Reports 11 (1), 9826, 2021
Investigation of theoretical scaling laws using large eddy simulations for airborne spreading of viral contagion from sneezing and coughing
K Liu, Majid Allahyari, JS Salinas, N Zgheib, S Balachandar., Physics of Fluids 33 (6), 2021
Boiling process with incorporating nanoparticles through a flattened channel using experimental approach
A Shafee, B Rezaeianjouybari, M Sheikholeslami, Majid Allahyari, H Babazadeh., Journal of Thermal Analysis and Calorimetry 143, 3569-3576, 2021
The effects of grid accuracy on flow simulations: A numerical assessment
Majid Allahyari, V Esfahanian, K Yousefi., Fluids 5 (3), 110, 2020
Numerical simulation of flows with shocks and turbulence using observable methodology
Majid Allahyari., 2018 AIAA Aerospace Sciences Meeting, 0066, 2018
Sensitivity of puff dynamics and airborne droplet nuclei distribution to variations in violent expiration events
Majid Allahyari, K Liu, JS Salinas, N Zgheib, S Balachandar., Computers & Fluids 251, 105758, 2023
A block–interface approach for high–order finite–difference simulations of compressible flows
Majid Allahyari, K Yousefi, V Esfahanian, M Darzi., Journal of Applied Fluid Mechanics 14 (2), 345-359, 2020
Selected Conferences
ON THE EJECTION SCALE PROBLEM OF EXPIRATORY EVENTS FROM THEORY AND SIMULATIONS
K Liu, Majid Allahyari, JS Salinas, N Zgheib, S Balachandar., ASTFE Digital Library, 2022
Simulation of compressible flows and shock turbulence interaction using observable Euler and Navier-Stokes equations
Majid Allahyari, APS Division of Fluid Dynamics Meeting Abstracts, A29. 006, 2017
A deep neural network-based approach for the force predictions of particulate multiphase flows
Majid Allahyari, WC Moore, BS Siddani, S Balachandar., APS Division of Fluid Dynamics Meeting Abstracts, J12. 011, 2020
Pseudo-spectral simulation of shock turbulence interaction using observable Navier-Stokes equations
K Liu, Majid Allahyari., North American High Order Methods Conference, 2019
Shock-turbulence interaction simulation using observable Navier-Stokes equations
Majid Allahyari., Fifteenth annual symposium of the Burgers program for fluid dynamics: Topics in Applied Fluid Mechanics, 2018
GPU implementation for high-order numerical flow simulation
Vahid Esfahanian, Mohammadali Hedayat, Majid Allahyari, Behzad Baghapour., CFD15, 2013
High-Order Compact Finite-Difference on Multi-block Domains with Parallelization Implementation
Vahid Esfahanian, Majid Allahyari, Mohammadali Hedayat., CFD15, 2013