People

Find a group of people who challenge and inspire you, spend a lot of time with them, and it will change your life.

― Amy Poehler

Principal Investigator

Dr. San has been an assistant professor of mechanical and aerospace engineering at OSU since 2015.  He received his bachelors in aeronautical engineering from Istanbul Technical University in 2005, his masters in aerospace engineering from Old Dominion University in 2007, and his Ph.D. in engineering mechanics from Virginia Tech in 2012. He worked as a postdoc at Virginia Tech from 2012-'14, and then from 2014-'15 at the University of Notre Dame, Indiana. He is a recipient of U.S. Department of Energy 2018 Early Career Research Program Award in Applied Mathematics. His field of study is centered upon the development, analysis and application of advanced computational methods in science and engineering with a particular emphasis on fluid dynamics across a variety of spatial and temporal scales. His Erdős number is 4.

Omer San, PhD

Associate Professor

Mechanical and Aerospace Engineering

Oklahoma State University

201 General Academic Building

Stillwater, Oklahoma 74078 USA

Phone: (405) 744-2457

E-mail: osan@okstate.edu | cfdlab.osu@gmail.com


Google Scholar | ORCID | LinkedIn


Dr. San is Associate Professor in the School of Mechanical and Aerospace Engineering at Oklahoma State University, where he was tenured in 2021. He received his PhD in Engineering Mechanics from Virginia Tech. His field of study is centered upon the development, analysis and application of advanced computational methods in science and engineering with a particular emphasis on the development of hybrid physics-AI/ML methodologies in fluid dynamics across a variety of spatial and temporal scales. He is a recipient of the U.S. Department of Energy, Office of Advanced Scientific Computing Research (ASCR), 2018 Early Career Research Program (ECRP) Award to develop scientific machine learning algorithms for multiscale closure modeling of turbulent flows.

Current Group

Saeed Akbari

sakbari@okstate.edu

PhD Student

Mehrdad Zomorodiyan

mehrdad.zomorodiyan@okstate.edu

PhD Student

Pedram H Dabaghian

pedram.hashem_dabaghian@okstate.edu

PhD Student


Shafi Romeo

sromeo@okstate.edu

MS Student

Alumni

PhDs

Romit Maulik

PhD 2019, MAE

Google Scholar

Dissertation: Data-driven sub-grid model development for large eddy simulations of turbulence

Recipient of the CEAT 2018 Outstanding Graduate Student Award

Recipient of the 2019 Margaret Butler Fellowship Award; joined Argonne National Laboratory

Shady E. Ahmed

PhD 2022, MAE

Google Scholar

Dissertation: Model-data fusion in digital twins of large scale dynamical systems

Recipient of the CEAT 2022 Outstanding Graduate Student Award

Recipient of the 2022 PNNL Distinguished Postdoctoral Fellowship Award; joined Pacific Northwest National Laboratory

Suraj Pawar

PhD 2022, MAE

Google Scholar

Dissertation: Physics-guided machine learning for turbulence closure and reduced order modeling

Recipient of the CEAT 2021 Outstanding Graduate Student Award

Joined Shell, Houston as an Artificial Intelligence Engineer



Master's

Harsha Vaddireddy

MS 2020, MAE

Google Scholar

Thesis: Identification of physical processes via data driven methods

Mashfiqur Rahman

MS 2019, MAE

Google Scholar

Thesis: Reduced order modeling of geophysical flows using physics-based and data-driven modeling techniques

Mansoor Ahmed

MS 2019, MAE

Google Scholar

Thesis: Numerical investigation of air mixer performance for HVAC testing applications

Wesley Glenn

MS (Non-Thesis) 2017, MAE

Project: Reduced order modeling of cardiovascular flows: fluid-structure interactions and constitutive modeling

BS Students

Jack Cook

BS 2019, MAE

Recipiant of CEAT 2019 Undergraduate Research Scholarship

Nick Nelsen

BS 2018, MAE

Recipient of the NSF 2018 Graduate Research Fellowships Program (GRFP); joined Caltech

Group Photos

APS DFD, November 2020, Virtual

APS DFD, November 2019, Seattle

APS DFD, November 2018, Atlanta

APS DFD, November 2019, Seattle

APS DFD November 2019, Seattle

APS DFD November 2017, Denver

Join the team!

We do have possible openings for prospective graduate students interested in broad areas of fluid dynamics, numerical analysis, data assimilation, model reduction, machine learning and computing. If interested, please send an email to Dr. Omer San.