People
Leadership
Ulisses Braga-Neto
Director Professor Department of Electrical and Computer EngineeringMachine learning; Statistical signal processing; Applications in engineering and science.
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- Ulisses Braga-Neto
ECE
- Nick Duffield
TAMIDS/ECE
- Narasimha Reddy
TEES/ECE
Lab Members
Raymundo Arroyave
Director Professor Department of Materials Science and EngineeringMaterials Science; Numerical Methods.
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Raktim Bhattacharya
Professor Department of Aerospace EngineeringUncertainty quantification in SciML; Convex optimization; Information fusion in manifolds;
Asynchronous algorithms for exascale computation; Applications in astrodynamics and flight mechanics.
James Cai
Professor Department of Veterinary Integrative Biosciences Department of Electrical and Computer EngineeringMachine learning; Single-cell biology; Data-driven life science; Quantum computing.
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Yalchin Efendiev
Professor Department of MathematicsMultiscale methods; Porous media; Model reduction; Numerical analysis; Data-driven model reduction; Uncertainty quantification.
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Eduardo Gildin
Professor Department of Petroleum EngineeringReservoir simulation; Model order reduction.
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Diego Marcondes
MSI-Google fellow Mathematical Sciences Institute The Australian National UniversityStatistical Learning Theory, Mathematical Morphology, Physics-Informed Neural Networks, Operator Learning.
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Lisa Perez
Associate Director Texas A&M High Performance Research ComputingHigh performance computing; Quantum chemistry; Molecular dynamics; Scientific machine learning; AI/ML.
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Jean Ragusa
Professor Department of Nuclear EngineeringScientific computing (solution techniques, algorithms); Uncertainty quantification; Model-order reduction applied to complex radiation/multiphysics problems.
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Jian Tao
Assistant Professor Department of VisualizationNumerical analysis; Workflow management; Data science; HPC; Scientific computation.
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Lifan Wang
Professor Department of Physics & AstronomyTime-domain astronomy; Astronomical site surveys; Machine learning in astronomy; Supernovae; Astronomical polarimetry; Wide-field astronomical surveys; Cosmological parameters.
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Dehao Liu
Post-Doctoral Researcher Department of Materials Science and Engineering TAMIDSComputational materials science; Physics-informed machine learning; Scalable versatile Bayesian optimization; Additive manufacturing.
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Levi McClenny
Research Assistant Department of Electrical EngineeringPhysics-informed deep learning, Physics-explainable AI; PINNs; Materials science.
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Ming Zhong
Assistant Research Scientist TAMIDSNumerical ODE/PDE; Modeling and simulation; PINN/PI-GP; Inverse problems; Data recovery.
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