Erik von Schwerin Research Scientist, Stochastic Numerics Research Group uncertainty quantification numerical analysis stochastic differential equations Stochastic Optimal Control
Evangelia Kalligiannaki Research Scientist, Stochastic Numerics Research Group numerical analysis markov chains uncertainty quantification
Fabián Crocce Postdoctoral Research Fellow, Stochastic Numerics Research Group Stochastic Modeling probability theory
Farah Souayfane Research Scientist, Omar Knio Research Group renewable energy energy systems stochastic optimization Thermal gradient Mathematical modeling energy efficiency in buildings
Florian Rist Research Scientist, Applied Mathematics and Computational Science mathematics architectural geometry applied geometry architecture 3D design
Francisco Javier Franco Espinoza M.S., Applied Mathematics and Computational Science Siemens Machine Tool Systems
Ganesh Sundaramoorthi Assistant Professor, Electrical and Computer Engineering Computer Vision optimization geometric modeling
Gaukhar Shaimerdenova Research Consultant, Stochastic Numerics Research Group numerical analysis Computational finance
George Turkiyyah Research Professor, Applied Mathematics and Computational Science numerical simulations High Performance Computing scientific computing geometric modeling Neural Network training algorithms large languaje models
Georgios Grekas Postdoctoral Research Fellow, Applied Mathematics and Computational Science solid mechanics biomechanics numerical analysis scientific computing
Grigorios Kounadis Postdoctoral Research Fellow, Applied Mathematics and Computational Science numerical methods for PDE's scientific computing
Grigory Malinovsky Ph.D. Student, Applied Mathematics and Computational Science machine learning optimization applied statistics stochastic optimization distributed optimization Federated learning
Haavard Rue Program Chair, Statistics Bayesian computational statistics bayesian methodology latent Gaussian models spatial statistics
Habib Toye Mahamadou Kele Ph.D. Student, Applied Mathematics and Computational Science Ensemble ocean forecasting ocean forecasting High Performance Computing data assimilation
Haicheng Cao Postdoctoral Research Fellow, Applied Mathematics and Computational Science Ultrawide bandgap materials semiconductor device
Håkon A. Hoel Visiting Researcher, Stochastic Numerics Research Group numerical analysis Mathematical modeling data assimilation
Hamza M. Ruzayqat Research Scientist, Omar Knio Research Group monte carlo algorithms uncertainty quantification multilevel methods data assimilation Inverse problem bayesian inference MCMC
Han Shao Ph.D. Student, Applied Mathematics and Computational Science computer graphics Deep learning physical simulation
Hannan Al-Shehri M.S., Applied Mathematics and Computational Science Saudi Capital Market Prince Sultan University
Hernando Ombao Professor, Statistics Time Series Spectral Analysis Wavelets Longitudinal Models Mixed Effects Models Functional Magnetic Resonance Imaging Electroencephalograms
Hoyoun Kim Postdoctoral Research Fellow, Applied Mathematics and Computational Science Diffusion equations Kinetic models
Hui Wang Postdoctoral Research Fellow, Computer Science architectural geometry discrete differential geometry geometry modeling
Ibrahim Hoteit Professor, Earth Science and Engineering climate and environmental modeling data assimilation The Red Sea and Arabian Gulf global climate dynamics sustainable environmental management
Igor Sokolov M.S. Student, Applied Mathematics and Computational Science machine learning optimization
Ioanna Mousikou Ph.D. Student, Applied Mathematics and Computational Science Applied PDE's numerical methods for PDE's Computational mathematics
Ioanna Mousikou Ph.D. Student, Applied Mathematics and Computational Science Applied PDE's numerical methods for PDE's Computational mathematics
Irving Enrique Reyna Nolasco Ph.D. Student, Applied Mathematics and Computational Science fluid dynamics High Performance Computing machine learning
Jan Haskovec Senior Research Scientist, Applied Mathematics and Computational Science random process transportation networks Differential equations Dynamical Systems
Jinchao Xu Professor, Applied Mathematics and Computational Science applied mathematics deep learning PDEs
Jorge Alejandro Amador Herrera Ph.D. Student, Applied Mathematics and Computational Science numeric simulations scientific computing visual computing machine learning quantum algorithms
Juan Pablo Bernal Tamayo Ph.D., Applied Mathematics and Computational Science PDEs genomics single cell biology
Juan Pablo Muñoz Díaz Ph.D. Student, Applied Mathematics and Computational Science applied mathematics bioscience Dynamical Systems deep learning bifurcation theory
Julian David Gutierrez Pineda Ph.D. Student, Applied Mathematics and Computational Science Applied Partial Differential Equations Applied Machine Learning mean-field games