MMAE Fall 2025 Seminar: Debolina Dasgupta

Time

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Locations

Rettaliata Engineering Center, Room 104 10 West 32nd Street Chicago, IL 60616
Headshot of Debolina Dasgupta, senior research scientist at Argonne National Laboratory

The Department of Mechanical, Materials, and Aerospace Engineering presents its fall 2025 seminar series featuring Debolina Dasgupta, senior research scientist at Argonne National Laboratory, who will present 鈥淎ccelerating Next-Generation Technologies for Transportation, Electric Power, and Industrial Applications.鈥 This seminar is open to the public and will take place on Wednesday, September 24, from 12:45鈥1:45 p.m. in room 104 of the Rettaliata Engineering Center.

Abstract

Several combustion technologies will continue to play a critical role in sectors such as aviation, rail, marine, power generation, and the process industry. With an increasing emphasis on improving energy efficiency and fostering innovation, various fuels and technologies have gained prominence to optimize energy use and address emerging operability and performance challenges. This talk will provide an overview of the work being conducted at the Multi-Physics Computation Group at Argonne National Laboratory to tackle these issues. Key research areas will be highlighted, including synthetic aviation turbine fuels in gas turbines, high-hydrogen blends in combined heat and power systems, surrogate model development for system control and optimization, and material synthesis and manufacturing. In these contexts, the talk will explore computational fluid dynamics model development, multi-fidelity machine learning methods, and close collaboration with experimental groups to advance the science and drive innovation.

Biography

Debolina Dasgupta is a senior research scientist in the Department for Advanced Propulsion and Power within Argonne National Laboratory鈥檚 Transportation and Power Systems (TAPS) division. Her research interest broadly lies in the areas of computational fluid dynamics for multi-phase reacting flow modeling, multi-fidelity machine learning (ML), and high-performance computing (HPC) for a wide range of applications such as propulsion, power generation, and manufacturing. Dasgupta received her Ph.D. from Georgia Institute of Technology in aerospace engineering in 2018 and is a senior member of AIAA, and ASME.

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