Under what circumstances can we design machine learning algorithms that are provably accurate and stable?
Simone Brugiapaglia
- Associate 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
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Jason Bramburger
nonlinear dynamics, complex dynamic systems, bifurcation analysis
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Salim Lahmiri
artificial intelligence (AI), data science, predictive analytics
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Moussa Tembely
numerical simulation, multiphase flows, computational fluid dynamics
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Tien D. Bui
computer vision, biometrology, artificial intelligence (AI)
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Jun Yan
smart grids, cyberphysical security, machine learning
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Ebenezer (Ekow) Essel
turbulence, experimental fluid dynamics, computational fluid dynamics
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Hamid Taghavifar
connected autonomous vehicles (CAV), control systems, robotics
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Yan Liu
big data, distributed/parallel systems, deep learning
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Yang Wang
computer vision, machine learning, deep learning
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Mirco Ravanelli
deep learning, conversational AI, speech processing
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Mohsen Farhadloo
machine learning, data mining, text analytics
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Mahdi S. Hosseini
deep learning, computer vision, computational pathology
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Jia Yuan Yu
data science, decision theory, machine learning
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Thomas G. Fevens
bioimaging, deep learning, computer vision
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Arash Mohammadi
signal processing, information systems security, cyberphysical systems
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Biao Li
soil mechanics, rock mechanics, soil physics
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Rastko Selmic
control systems, formation flight control, neural networks
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Paula Lago
healthcare information systems, ubiquitous and pervasive computing, internet of things (IoT)
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Mohamed Ouf
green buildings, occupant behavior, energy modeling and optimization
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Jun Cai
machine learning, distributed/parallel systems, energy efficiency
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Eugene Belilovsky
machine learning, deep learning, computer vision
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Yogendra P. Chaubey
statistical methodology, linear models, statistical modeling
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Mojtaba Kheiri
fluid-structure interactions, nonlinear aeroelasticity, kite power systems
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Essam Mansour
distributed/parallel systems, web data management, large-scale analytics on strings
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Kun Ho Kim
empirical asset pricing, empirical finance, applied econometrics
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Jerin John
aerospace, rocket propulsion, spacecraft and satellites
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Nizar Bouguila
computer vision, data analytics, machine learning
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Ching Yee Suen
pattern recognition, handwriting, design of type fonts
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Diego Elias Damasceno Costa
software engineering, empirical software engineering, mining software repositories
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Brian Vermeire
computational aerodynamics, future aircraft, computational fluid dynamics
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Kaustubha Mendhurwar
computer graphics, 3D motion capture, 3D data acquisition technologies
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Gabriel Vigliensoni
music production technologies, machine learning, deep learning
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Abdelhak Bentaleb
multimedia systems and communication, video streaming architecture, access networks
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Ré (Rachael) Mansbach
computational biophysics, molecular dynamics simulation, biophysical chemistry
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Leila Kosseim
computational linguistics, natural language processing (NLP), artificial intelligence (AI)
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Hassan Rivaz
bioimaging, ultrasound elastography, image processing
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Wei-Ping Zhu
signal processing, speech processing, image processing
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Jamshid Etezadi-Amoli
multivariate statistics, business statistics, structural equation modeling
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Alina Stancu
geometric analysis, curvature flows, extremal problems
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Cody Hyndman
mathematical finance, computational finance, machine learning
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Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence (AI)
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Marius Paraschivoiu
computational fluid dynamics, hydrogen technology, wind energy
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Ivan Contreras
transportation systems, networks, large scale optimization