Faculty
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DR TAMER ZAKI EXPERIENCE |
PhD students
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Lucas Pancotto Lic., Physics, University of Buenos Aires, 2024 Research interests: Data assimilation, High-speed flows, Turbulence |
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Varun Vaidyanathan B.Tech., Mechanical Engineering, Indian Institute of Technology Delhi, 2024 Research Interests: Turbulence, direct numerical simulations, data assimilation |
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Hangchuan Hu B.E., Xi’an Jiaotong University, China, 2024 Research Interests: High-speed flows, uncertainty quantification, data assimilation |
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Curtis Haas B.A., Physics and Mathematics, Colby College, ME, 2022 Research Interests: High-speed flows, adjoint methods, turbulence, data assimilation |
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Hadden Kim B.S., Mathematics, The University of Texas at Austin, 2021 Research Interests: Computational methods, partial differential equations, machine learning |
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Sheng Qian M.S., Mechanical Engineering, Johns Hopkins University, USA, 2022 M.E. Mech. Eng., Hangzhou Dianzi University, Hangzhou, 2019 B.E. Mech. Eng., Nanjing Institute of Technology, Nanjing, 2016 Research Interests: Viscoelasticity, turbulence, high-fidelity simulations, data assimilation |
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Ho Jun Kim M.S., Aerospace Engineering, KAIST, 2019 B.S., Aerospace Engineering, KAIST, 2017 Research Interests: Turbulence, wall modeling Collaboration: Prof. Charles Meneveau |
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Tianrui Xiang BSc, Peking University, 2019 Research interests: Turbulence, Compliant surfaces, Data assimilation |
Post-Doctoral Researchers and Fellows
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Dr Andrew Cleary PhD, University of Edinburgh, 2025
Research interests: Dynamical systems, data assimilation, machine learning
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Dr U. Meenu Krishnan PhD, Indian Institute of Technology Roorkee, 2024 Research interests: Phase field method, fracture analysis, computational solid mechanics, topology optimization. |
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Dr Rodrigo Rodakoviski PhD, University of California, Los Angeles, 2024 Research interests: turbulence, geophysical flows, environmental fluid dynamics, high-fidelity simulations |
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Dr Ponkrshnan Thiagarajan PhD, Michigan Technological University, 2023 Research Interests: Bayesian neural networks, uncertainty quantification, scientific machine learning, computational mechanics |
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Dr Sugan Velazhagan PhD, Tata Institute of Fundamental Research, 2023
Research Interests: Turbulence, Direct Numerical Simulations, Stratified flows past solid bodies
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Dr Pierluigi Morra PhD, KTH Royal Institute of Technology, 2021 Research Interests: Scientific Machine Learning, Flow Control, Transitional boundary-layer flows, wall-bounded turbulence |
Former PhD and visiting students
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Former Post-Doctoral Researchers and Fellows
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