Low-Order Modeling and Machine Learning in Fluid Dynamics: Other Applications
ORAL · K06 · ID: 3583524
Presentations
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Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number
ORAL
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Publication: Optimizing Metachronal Paddling with Reinforcement Learning at Low Reynolds Number
Presenters
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Alana A Bailey
University of California Davis
Authors
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Alana A Bailey
University of California Davis
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Robert D Guy
University of California, Davis
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Bio-inspired real-time dynamics prediction and flight control for fixed-wing drones
ORAL
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Publication: ICRA 2026; One journal article
Presenters
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Xiaozhou Fan
Caltech
Authors
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Xiaozhou Fan
Caltech
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Fengze Xie
Caltech
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Yisong Yue
Caltech
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Morteza Gharib
Caltech
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Estimating near-surface wind over complex terrain using deep learning with short-term observations
ORAL
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Presenters
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Takenobu Michioka
Kindai University
Authors
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Takenobu Michioka
Kindai University
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Haruto Kawamoto
Kindai University
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Hiroshi Takimoto
Central Research Institute of Elecctric Power Industry
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Ayumu Sato
Central Research Institute of Elecctric Power Industry
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Bicubic Fourier neural operator for Super-Resolution Reconstruction of Turbulent Flows
ORAL
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Presenters
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Diya Nag Chaudhury
Indian Institute of Science Bengaluru
Authors
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Diya Nag Chaudhury
Indian Institute of Science Bengaluru
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Sai Bhargav Pochinapeddi
Rensselaer Polytechnic Institute
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Sashikumaar Ganesan
Indian Institute of Science Bengaluru
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Flow-Informed Path-Planning With Realistic Geometries for Safe Autonomous Flight in Cities
ORAL
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Presenters
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Alejandro Stefan-Zavala
Caltech
Authors
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Alejandro Stefan-Zavala
Caltech
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Peter Ian James Renn
Caltech
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Sabera Talukder
Caltech
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Yisong Yue
Caltech
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Julian Humml
Caltech
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Morteza Gharib
Caltech
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Machine-learning-based prediction of a scalar source location from remote sensors in turbulent flow
ORAL
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Presenters
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Changbeom Kim
Seoul National University
Authors
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Changbeom Kim
Seoul National University
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Sehyeong Oh
Samsung Advanced Institute of Technology
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Haecheon Choi
Seoul National University
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Inverse prediction of upstream boundary conditions for nonlinear partial differential equations using artificial neural networks
ORAL
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Presenters
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Jihoo Kim
Postech
Authors
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Jihoo Kim
Postech
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Donghyun You
Pohang Univ of Sci & Tech
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Uncovering Signatures in Breath Turbulence for Data-Driven Identification of Individuals
ORAL
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Presenters
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Revanth Madabathula
Indian Institute of Technology (IIT), Madras
Authors
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Mahesh V Panchagnula
Indian Institute of Technology, Madras
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Shabarish Balaji
Indian Institute of Technology (IIT), Madras
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Revanth Madabathula
Indian Institute of Technology (IIT), Madras
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DEBJIT KUNDU
Indian Institute of Technology Madras
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Mukesh Karunanethy
Indian Institute of Technology (IIT), Madras
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Similarity Learning with neural networks
ORAL
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Publication: Similarity Learning with neural networks, Physical Review E - published February 2025
Presenters
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Gabriel R Sanfins
UFRJ
Authors
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Gabriel R Sanfins
UFRJ
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Fabio A Ramos
Federal University of Rio de Janeiro
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Danilo F Naiff
UFRJ
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Interpreting Learned Physics in Neural ODEs through a DEIM-based Spatio-temporal Analysis
ORAL
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Presenters
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Hojin Kim
Purdue University
Authors
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Hojin Kim
Purdue University
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Romit Maulik
The Pennsylvania State University, Argonne National Laboratory
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Physics-Informed Machine Learning for Predicting Ice Particle Impact Dynamics.
ORAL
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Publication: Predicting Coefficient of Restitution of Ice Particles: A Machine Learning-Based Approach", Powder Technology, 2025
Presenters
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Ehsan Khoshbakhtnejad
University of Toledo
Authors
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Ehsan Khoshbakhtnejad
University of Toledo
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Hossein Sojoudi
Univesity of Toledo
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Assessment of Machine-Learning-Based Forecasting Models for Plume-Surface Interaction
ORAL
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Presenters
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Srijan Satyal
Auburn University
Authors
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Srijan Satyal
Auburn University
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Vikas Bhargav
Auburn University
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Brian S Thurow
Auburn University
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David E Scarborough
Auburn University
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Vrishank Raghav
Auburn University
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Nek Sharan
Auburn University
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Data-Driven Thermal Imaging for Real-Time Nuclear Safety Monitoring and Temperature Reconstruction
ORAL
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Publication: Karnik, Niharika, Mohammad G. Abdo, Carlos E. Estrada-Perez, Jun Soo Yoo, Joshua J. Cogliati, Richard S. Skifton, Pattrick Calderoni, Steven L. Brunton, and Krithika Manohar. "Sensor-based Classification, Reconstruction and State Estimation of Power Perturbations for Digital Twins." (In Preparation).<br>
Presenters
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Niharika Karnik
University of Washington
Authors
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Niharika Karnik
University of Washington
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Krithika Manohar
University of Washington
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Mohammad G Abdo
Idaho National Laboratory
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