Current Members

Owoyele, Ope LSU8906

Principal Investigator - Ope Owoyele

I’ve been an Assistant Professor of Mechanical Engineering at Louisiana State University since August 2021. Before joining LSU, I was a Postdoctoral Appointee in the Computational Multi-Physics Research Section at Argonne National Laboratory (ANL). Prior to this, I was a recipient of the ORISE postgraduate fellowship to perform research at the National Energy Technology Laboratory (NETL). I obtained my Master’s and Ph.D. degrees in Mechanical Engineering from North Carolina State University.

 

At ANL, I received an Impact Argonne Award in the category of Innovation and a Postdoctoral Performance Award in the Engineering Research category. My work on developing a machine learning-genetic algorithm for rapid product design optimization received the R&D 100 Award.

 

My research interests lie at the intersection of numerical methods, data science, machine learning, and high-performance computing for design optimization and data-driven reduced-order modeling.

Postdoctoral Researcher

Sattik Basu

February 2024 - Present

I received my doctorate in 2023 from The University of Alabama in Huntsville, after which I worked as a CFD Engineer at a startup on a NAVAIR project funded by the SBIR/STTR grants. The focus was streamlined into adding further physics capabilities on a FORTRAN-based open-source CFD library. My current research involves computational modeling of compressible and non-Newtonian biomass flows, including multiphysics phenomena such as heat transfer, multiphase flow, and rapid phase change.   
 

Ph.D. Students

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Haresh Chandrasekhar

January 2023 - Present

Experienced in experimental and computational combustion techniques. Current Research is focused on implementing advanced machine learning techniques and flamelet models for turbulent reacting flows.

Okezzi Ukorigho

January 2022 - Present

Scientific Machine Learning (SciML), Reduced-order Modelling, Computational Fluid Dynamics, Turbulent Combustion Modeling. 

Eloghosa Ikponmwoba

January 2022 - Present

Automated discovery of swarm optimization policies using reinforcement learning; computational/data-based models for additive manufacturing processes.

Sourav Saha

August 2022 - Present

Computational modeling of biomass dewatering processes; parametric studies to find optimum operating/design conditions.

John Philip Obhenimen
Philip John

August 2022 - Present

Multi-fidelity models for property-performance prediction applied to sustainable aviation fuels; machine learning and flamelet modeling for turbulent reacting flows.