Under what circumstances can we design machine learning algorithms that are provably accurate and stable?
Simone Brugiapaglia
 Assistant Professor
 Department of Mathematics and Statistics
 data science38
 computational mathematics2
 numerical analysis
 scientific computing3
 compressed sensing3
 approximation theory
 numerical simulation7
 machine learning58
 deep learning20
 neural networks7
 optimization11
 signal processing19
 sampling4
 partial differential equations (PDE)3
 uncertainty quantification
 computational fluid dynamics18
 finite element method15

Jason Bramburger
nonlinear dynamics, complex dynamic systems, bifurcation analysis

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

Moussa Tembely
numerical simulation, multiphase flows, computational fluid dynamics

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

Jun Yan
smart grids, cyberphysical security, machine learning

Ebenezer (Ekow) Essel
turbulence, experimental fluid dynamics, computational fluid dynamics

Hamid Taghavifar
connected autonomous vehicles (CAV), control systems, robotics

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

Yang Wang
computer vision, machine learning, deep learning

Mirco Ravanelli
deep learning, conversational AI, speech processing

Mohsen Farhadloo
machine learning, data mining, text analytics

Mahdi S. Hosseini
deep learning, computer vision, computational pathology

Jia Yuan Yu
data science, decision theory, machine learning

Thomas G. Fevens
bioimaging, deep learning, computer vision

Arash Mohammadi
signal processing, information systems security, cyberphysical systems

Biao Li
soil mechanics, rock mechanics, soil physics

Rastko Selmic
control systems, formation flight control, neural networks

Paula Lago
healthcare information systems, ubiquitous and pervasive computing, internet of things (IoT)

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

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

Eugene Belilovsky
machine learning, deep learning, computer vision

Yogendra P. Chaubey
statistical methodology, linear models, statistical modeling

Mojtaba Kheiri
fluidstructure interactions, nonlinear aeroelasticity, kite power systems

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

Kun Ho Kim
empirical asset pricing, empirical finance, applied econometrics

Jerin John
aerospace, rocket propulsion, spacecraft and satellites

Nizar Bouguila
computer vision, data analytics, machine learning

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

Diego Elias Damasceno Costa
software engineering, empirical software engineering, mining software repositories

Brian Vermeire
computational aerodynamics, future aircraft, computational fluid dynamics

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

Gabriel Vigliensoni
music production technologies, machine learning, deep learning

Abdelhak Bentaleb
multimedia systems and communication, video streaming architecture, access networks

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

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

Hassan Rivaz
bioimaging, ultrasound elastography, image processing

WeiPing Zhu
signal processing, speech processing, image processing

Jamshid EtezadiAmoli
multivariate statistics, business statistics, structural equation modeling

Alina Stancu
geometric analysis, curvature flows, extremal problems

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

Ivan Contreras
transportation systems, networks, large scale optimization