What is the real potential of deep learning in computational mathematics?
Simone Brugiapaglia
 Assistant Professor
 Department of Mathematics and Statistics
 data science34
 computational mathematics
 compressed sensing3
 machine learning47
 numerical analysis
 uncertainty quantification
 deep learning13
 optimization8
 neural networks6
 scientific computing2
 approximation theory
 partial differential equations2
 computational fluid dynamics15
 signal processing19
 finite element method14

Salim Lahmiri
artificial intelligence (AI), data science, predictive analytics

Andrew Delong
machine learning, deep learning, genomics

Tien D. Bui
computer vision, biometrology, artificial intelligence (AI)

Jun Yan
smart grids, cyberphysical security, machine learning

Heena Rathore
ubiquitous and pervasive computing, cyberphysical systems, mobile computing

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

Thomas G. Fevens
bioimaging, deep learning, computer vision

Leila Kosseim
computational linguistics, natural language processing, artificial intelligence (AI)

Jia Yuan Yu
data science, decision theory, machine learning

Ivan Contreras
transportation systems, networks, large scale optimization

Arash Mohammadi
signal processing, information systems security, cyberphysical systems

Rastko Selmic
control systems, formation flight control, 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

Ching Yee Suen
pattern recognition, handwriting, design of type fonts

Essam Mansour
distributed/parallel systems, web data management, largescale analytics on strings

Nizar Bouguila
computer vision, data analytics, machine learning

Eugene Belilovsky
machine learning, deep learning, computer vision

Brian Vermeire
computational aerodynamics, future aircraft, computational fluid dynamics

Kaustubha Mendhurwar
computer graphics, 3D motion capture, 3D data acquisition technologies

Ré (Rachael) Mansbach
computational biophysics, molecular dynamics simulation, biophysical chemistry

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 (AI)

Marius Paraschivoiu
computational fluid dynamics, hydrogen technology, wind energy

Hassan Rivaz
bioimaging, ultrasound elastography, image processing