Chloé Arson

Chloé Arson
chloe.arson@ce.gatech.edu
CEE Profile Page

Chloé Arson is a professor in the School of Civil and Environmental Engineering (CEE) at Cornell University and an adjunct faculty in the Schools of CEE and Earth and Atmospheric Sciences at the Georgia Institute of Technology (Georgia Tech). She earned her Ph.D. at Ecole Nationale des Ponts et Chaussées (France) in 2009. She was an assistant professor at Texas A&M University from 2009 to 2012. Then, she worked as an assistant professor (2012-2016), associate professor (2016-2022) and professor (2022-2023) in the Georgia Tech School of CEE. Arson joined the faculty at Cornell University in Summer 2023.

Adjunct Professor, School of Civil and Environmental Engineering
Phone
404.385.0143
Additional Research

Numerical modeling, geomaterials, bio-inspired materials

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Giri Krishnan

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giri@gatech.edu

Dr Krishnan is research professor in the Georgia Tech’s Interdisciplinary Research Institute, Institute for Data Engineering and Science, School of Computational Science and Engineering, College of Computing. He is an associate director of the Center for AI in Science and Engineering. His current interest is in developing AI methods for computational science problems across many domains. He is a computational neuroscientist by training, with past work spanning across a wide range of computational modeling and AI methods. His group's current focus is on generative methods for computational workflow, neural approaches for accelerating compute intensive problems and applying interpretable methods to scientific AI for advancing scientific understanding.

Prior to joining Georgia Tech, he was research scientist at UC San Diego and his research involved developing large-scale modeling of the brain to study sleep, memory and learning. In addition, he has contributed towards neuro-inspired AI and neuro-symbolic approaches. He is broadly interested in the emergence of intelligent behavior from neural computations in the brain and AI systems. 

Dr Krishnan has more than 50 publications and his research has been supported by multiple grants from NIH and NSF. He is passionate about open-science and reproducible science and strongly believes that progress in science requires reproducibility.

Associate Director, Center for Artificial Intelligence in Science and Engineering (ARTISAN)
Principal Research Scientist
Phone
404.894.2132
Office
CODA Building
Additional Research

AI : Deep learning, Neuro-symbolic ApproachesGeosciences.Molecular DynamicsNeuroscience : Theoretical and computational modeling

Research Focus Areas
Google Scholar
https://scholar.google.com/citations?hl=en&user=IGsdszkAAAAJ&view_op=list_works&sortby=pubdate
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Yi Deng

Yi Deng
yi.deng@eas.gatech.edu
EAS Profile
Professor
Phone
404-385-1821
Office
ES&T 3248
Additional Research

Hydroclimate variability at regional scalesPolar-tropical interactionFeedbacks of ENSO and Annular ModesProbabilistic graphical models and climate networks

Website BBISS Initiative Lead Project - Microclimate Monitoring and Predication at Geor…
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Deng
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Peng Chen

Peng Chen
pchen402@gatech.edu
Scientific Machine Learning (SciML) and Uncertainty Quantification (UQ)

Dr. Chen is an Assistant Professor in the School of Computational Science and Engineering. Previously he was a Research Scientist at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Chen’s research is in the multidisciplinary fields of computational mathematics, data science, scientific machine learning, and parallel computing with various applications in materials, energy, health, and natural hazard. Specifically, his research focuses on developing fast, scalable, and parallel computational methods for integrating data and models under high-dimensional uncertainty to make (1) statistical model learning via Bayesian inference, (2) reliable system prediction with uncertainty quantification, (3) efficient data acquisition through optimal experimental design, and (4) robust control and design by stochastic optimization.

Assistant Professor
Office
CODA | E1350B
Additional Research

Bayesian InferenceInfectious DiseasesOptimal Experimental DesignPlasma FusionStochastic OptimizationUncertainty Quantification

Google Scholar
https://scholar.google.com/citations?hl=en&user=AaVPa5kAAAAJ&view_op=list_works&sortby=pubdate
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Giri Krishnan


Dr Krishnan is research professor in the Georgia Tech’s Interdisciplinary Research Institute, Institute for Data Engineering and Science, School of Computational Science and Engineering, College of Computing. He is an associate director of the Center for AI in Science and Engineering. His current interest is in developing AI methods for computational science problems across many domains. He is a computational neuroscientist by training, with past work spanning across a wide range of computational modeling and AI methods.

Peng Chen

Dr. Chen is an Assistant Professor in the School of Computational Science and Engineering

Dr. Chen is an Assistant Professor in the School of Computational Science and Engineering. Previously he was a Research Scientist at the Oden Institute for Computational Engineering and Sciences at the University of Texas at Austin. Dr. Chen’s research is in the multidisciplinary fields of computational mathematics, data science, scientific machine learning, and parallel computing with various applications in materials, energy, health, and natural hazard.

Chloé Arson

Chloé Arson

Chloé Arson is a professor in the School of Civil and Environmental Engineering (CEE) at Cornell University and an adjunct faculty in the Schools of CEE and Earth and Atmospheric Sciences at the Georgia Institute of Technology (Georgia Tech). She earned her Ph.D. at Ecole Nationale des Ponts et Chaussées (France) in 2009. She was an assistant professor at Texas A&M University from 2009 to 2012. Then, she worked as an assistant professor (2012-2016), associate professor (2016-2022) and professor (2022-2023) in the Georgia Tech School of CEE.