What is the real potential of deep learning in computational mathematics?
Simone Brugiapaglia
 Assistant Professor
 Department of Mathematics and Statistics
 data science33
 computational mathematics
 compressed sensing3
 machine learning36
 numerical analysis
 uncertainty quantification
 deep learning7
 optimization8
 artificial neural networks5
 scientific computing2
 approximation theory
 partial differential equations2
 computational fluid dynamics16
 signal processing20
 finite element method14

Salim Lahmiri
artificial intelligence, data science, predictive analytics

Andrew Delong
deep learning, genomics, machine learning

Jun Yan
smart grids, cyberphysical security, machine learning

Yan Liu
big data, distributed/parallel systems, deep learning

Mohsen Farhadloo
machine learning, data mining, text analytics

WeiPing Zhu
signal processing, speech processing, image processing

Hassan Rivaz
bioimaging, ultrasound elastography, image processing

Leila Kosseim
computational linguistics, natural language processing, artificial intelligence

Jia Yuan Yu
data science, decision theory, machine learning

Ivan Contreras
transportation systems, networks, large scale optimization

Arash Mohammadi
signal processing, information fusion, nonlinear systems

Rastko Selmic
control systems, formation flight control, artificial neural networks

Michael T. Hallett
computational biology, bioinformatics, systems biology

Mohamed Ouf
green buildings, occupant behavior, energy modeling and optimization

Jun Cai
machine learning, distributed/parallel systems, energy efficiency

Mazdak NikBakht
construction management, BIM, decision making

Brian Vermeire
computational aerodynamics, future aircraft, computational fluid dynamics

Jamshid EtezadiAmoli
multivariate statistics, business statistics, structural equation modeling

Cody Hyndman
mathematical finance, computational finance, machine learning

Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence

Marius Paraschivoiu
computational fluid dynamics, hydrogen technology, wind energy

Thomas G. Fevens
bioimaging, image processing, deep learning

Tien D. Bui
computer vision, biometrology, artificial intelligence

Nizar Bouguila
computer vision, data mining, machine learning