Som Dutta

Mechanical and Aerospace Engineering

Assistant Professor


Som Dutta

Contact Information

Phone: 435-797-0583
Email: som.dutta@usu.edu
Additional Information:

Educational Background

PhD, Civil Engineering, University of Illinois at Urbana-Champaign, 2017
Bulle-Effect and its Implications for Morphodynamics of River Diversions
MS, Civil Engineering, University of Illinois at Urbana-Champaign, 2012
Effect of Self-Stratification on Channel Flows and Boundary Layers: A Study using Direct Numerical Simulations
BS, Civil Engineering, Birla Institute of Technology, Mesra, 2008
Prediction of Dispersion Coefficient in Natural Streams using Genetic Algorithm and Artificial Neural Netwroks

Biography

Som is from India, and completed his graduate studies at University of Illinois (UIUC) in Civil Engineering. After that, he did his post-doctoral training in Scientific Computing and Mathematics at UIUC and City University of New York (CUNY), respectively. Som is interested in studying complex flow and transport phenomena in the natural and the built environment using high-fidelity computational fluid dynamic (CFD) models that often require the use of large-scale HPC platforms. Some of the diverse range of phenomena he is interested are exploring the mechanism underlying drag reduction by shark denticles (skin); dispersal of oil and contaminant in oceans, rivers and lakes; fundamental dynamics of moving bodies in stratified environments; and transmission of airborne pathogens through aerosols.

Teaching Interests

Fluid Mechanics, Numerical Methods, Computational Fluid Mechanics, Multiphase Flows, Turbulence Modeling

Research Interests

Turbulent Multiphase Flows, Environmental Fluid Mechanics, Computational Fluid Dynamics, River and Coastal Mechanics, High Performance Computing

Awards

Undergraduate Research Mentor of the Year, 2022

Mechanical and Aerospace Engineering, Utah State University

Undergraduate Research Mentor of the Year, 2021

Mechanical and Aerospace Engineering, Utah State University

Bayfield Visiting Researcher award in Fluid Dynamics, 2019

Energy and Environment Institute (EEI) at the University of Hull, UK

Argonne Training Program on Extreme-Scale Computing (ATPESC), 2017

Exascale Computing Project, DOE Office of Science and the NNSA

Ravi K. Kinra and Kavita Kinra Fellowship, 2016

Civil and Environmental Engineering, University of Illinois at Urbana-Champaign

Computational Science and Engineering Fellowship, 2011

Computational Science and Engineering, University of Illinois and Urbana-Champaign


Publications | Journal Articles

Academic Journal

  • Dighe, S., Maity, D.K, Fonnesbeck, J., Dutta, S., Truscott, T., (2024). Extremely large water droplet impact onto a deep liquid pool. Physical Review E
  • Lloyd, C.J, Mittal, K., Dutta, S., Dorrell, R.M, Peakall, J., Keevil, G.M, Burns, A.J, (2023). Multi-fidelity modelling of shark skin denticle flows: insights into drag generation mechanisms. Royal Society Open Science
  • Schimmoller, B., Trovao, N., Isbell, M., Cardinal, K., Dutta, S., Daniel, A., Beheshti, A., (2022). Covid-19 Exposure Assessment Tool (CEAT): Exposure Quantification Based on Ventilation, Infection Prevalence, Group Characteristics and Behavior. Science Advances
  • Kiyama, A., Rabbi, R., Pan, Z., Dutta, S., Allen, J.S, Truscott, T., (2022). Morphology of bubble dynamics and sound in heated oil. Physics of Fluids, 34:6
  • Jin, C., Coco, G., Tinoco, R., Ranjan, P., Gong, Z., Dutta, S., San Juan, J., Friedrich, H., (2022). High-resolution Large Eddy Simulations of Vortex Dynamics Over Ripple Defects under Oscillatory Flow. Journal of Geophysical Research: Earth
  • Beck, K., Barfuss, S.L, Sharp, Z., Johnson, M.C, Moon, T.K, Dutta, S., (2022). The effect of high-fidelity flow models on electromagnetic flowmeter analysis . Journal of American Water Works Association Water Science, 4:2, 1-10. doi: https://doi.org/10.1002/aws2.1279
  • Marshall, C., Dorell, R., Dutta, S., Kevill, G., Peakll, J., Tobias, S., (2021). The effect of Schmidt number on gravity current flows: The formation of large-scale three-dimensional structures. Physics of Fluids
  • Rasmussen, M., Dutta, S., Neilson, B.T, Crookston, B.M, (2021). CFD Model of the Density-driven Bidirectional Flows through the West Crack Breach in the Great Salt Lake Causeway. Water by MPDI, 13(17):2423, doi: 10.3390/w13172423
  • Mittal, K., Dutta, S., Fischer, P., (2021). Multirate Time-Stepping for the Incompressible Navier-Stokes Equations in Overlapping Grids. Journal of Computational Physics
  • Fabregat, A., Gisbert, F., Vernet, A., Ferre, J.A, Mittal, K., Dutta, S., Pallares, J., (2021). Direct Numerical Simulation of turbulent dispersion of evaporative aerosol clouds produced by an intense expiratory event. Physics of Fluids
  • Fabregat, A., Gisbert, F., Vernet, A., Dutta, S., Mittal, K., Pallares, J., (2021). Direct numerical simulation of the turbulent flow generated by a violent expiratory event. Physics of Fluids
  • Jin, C., Coco, G., Tinoco, R.O, Ranjan, P., San Juan, J., Dutta, S., Friedrich, H., Gong, Z., (2021). Large-Eddy Simulation of Three-Dimensional Flow Structures Over Wave-generated Ripples. Earth Surface Processes and Landforms
  • Mittal, K., Dutta, S., Fischer, P., (2020). Direct Numerical Simulation of Rotating Ellipsoidal Particle using Moving Nonconforming Schwarz-Spectral Element Method. Computers and Fluids
  • Fischer, P., Min, M., Rathnayake, T., Dutta, S., Kolev, T., Dobrev, V., Camier, J., Kronbichler, M., Warburton, T., Swirydowicz, K., Brown, J., (2020). Scalability of High-Performance PDE Solvers. International Journal of High Performance Computing Applications, 34:5
  • Mittal, K., Dutta, S., Fischer, P., (2019). Nonconforming Schwarz-Spectral Element Methods For Incompressible Flow. Computers and Fluids, 191, 104237.
  • Dutta, S., Garcia, M.H, (2018). Discussion of "Evaluation of Sediment Diversion Design Attributes and their Impact on the Capture Efficiency" by Ahmed Gaweesh and Ehab Meselhe. Journal of Hydraulic Engineering, 144:8, 07018007, 1-4.
  • Dutta, S., Garcia, M.H, (2018). Nonlinear Distribution of Sediment at River Diversions: Brief History of the Bulle Effect and Its Implications. Journal of Hydraulic Engineering, 144:5, 06118001,1-12.
  • Dutta, S., Wang, D., Tassi, P., Garcia, M.H, (2017). Three-Dimensional Numerical Modeling of Bulle-Effect: the non-linear distribution of near-bed sediment at fluvial diversions. Earth Surface Processes and Landforms, 42:14, 2322-2337.
  • Dutta, S., Tokyay, T.E, Catano-Lopera, Y., Serafino, S., Garcia, M.H, (2014). Application of computational fluid dynamic modelling to improve flow and grit transport in Terrence J. O’Brien Water Reclamation Plant, Chicago, Illinois. Journal of Hydraulic Research, 52:6, 759–774.
  • Dutta, S., Cantero, M.I, Garcia, M.H, (2014). Effect of self-stratification on sediment diffusivity in channel flows and boundary-layers: a study using Direct Numerical Simulations. Earth Surface Dynamics, 2, 419-431.
  • Ghosh, M.K, Dutta, S., Sen, D., (2014). Sediment Flushout from pond of river diversion barrages by gate operation. Water Resources Management, 28:15, 5335-5356.
  • Sahay, R.R, Dutta, S., (2009). Prediction of longitudinal dispersion coefficients in natural rivers using genetic algorithm. Hydrology Research, 40:6, 544-552.
  • Dutta, S., Rohela, P., Roy, I., (2008). Increasing the safe angle of external clay dump with the application of flyash in Sonepurbazari Opencast Project, India. Minetech - The Indian Mining and Engineering Journal, 29:4, 33-36.

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Technical Reports

Research Reports

  • Dutta, S., Crookston, B., Rasmussen, , Larsen, E., (2021). Predicting Flow through the Causeway of the Great Salt Lake using Hydrodynamic Simulations and Artificial Neural Networks. Utah DNR *
  • Jackson, R.P, Sinha, S., Dutta, S., Johnson, K., Duncker, J., Garcia, M.H, (2013). Investigation of Hysteresis in Index-Velocity Ratings for the Chicago Sanitary and Ship Canal near Lemont, Illinois. USGS Scientific Investigations Report

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Publications | Other

Other

An asterisk (*) at the end of a publication indicates that it has not been peer-reviewed.

Teaching

MAE 6440 - Advanced Computational Fluid Dynamics, Fall 2023
MAE 3420 - Fluid Mechanics, Fall 2023
, Spring 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 2450 - Engineering Numerical Methods, Spring 2023
MAE 6440 - Advanced Computational Fluid Dynamics, Fall 2022
MAE 3420 - Fluid Mechanics, Fall 2022
MAE 3210 - Engineering Numerical Methods, Spring 2022
MAE 3210 - Engineering Numerical Methods, Spring 2022
MAE 3210 - Engineering Numerical Methods, Spring 2022
MAE 3210 - Engineering Numerical Methods, Spring 2022
MAE 3210 - Engineering Numerical Methods, Spring 2022
MAE 3210 - Engineering Numerical Methods, Spring 2022
MAE 6410 - Fluid Dynamics, Fall 2021
MAE 3420 - Fluid Mechanics, Fall 2021
MAE 6440 - Advanced Computational Fluid Dynamics, Fall 2020
MAE 3420 - Fluid Mechanics, Fall 2020
MAE 3420 - Fluid Mechanics, Fall 2019

Graduate Students Mentored

Cody Grogan, Mechanical & Aerospace Engr, August 2023
Sanaz Izadifar, Mechanical & Aerospace Engr, August 2023
Eric Larsen, Mechanical & Aerospace Engr, August 2022
Ikram Talukdar, Mechanical & Aerospace Engr, August 2022
Yi-Cheng Shen, Mechanical & Aerospace Engr, August 2022
Aditya Parik, Mechanical & Aerospace Engr, August 2019
Anton Kadomstev, Mechanical & Aerospace Engr, August 2021 - December 2023
Landon Berry, Mechanical & Aerospace Engr, January 2020 - December 2023
Holland Kartchner, Mechanical & Aerospace Engr, August 2021 - August 2023
Jasmin Ahmed, Mechanical & Aerospace Engr, January 2020 - March 2022