How can we scale complex machine learning algorithms in distributed and parallel computing environments?
Yan Liu
- Associate Professor
- Department of Electrical and Computer Engineering
- big data24
- distributed computing15
- parallel computation8
- deep learning4
- cloud computing15
- middleware3
- machine learning33
- software engineering26
- adaptive software development
- software performance engineering
- software architectures3
- model-driven software engineering7
- algorithm design21
- data science30
- service-oriented computing7
- e-science
- scientific workflows3
- women in engineering2
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Jia Yuan Yu
data science, decision theory, machine learning
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Tristan Glatard
big data, distributed computing, cloud computing
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Chun Wang
distributed computing, e-supply chains, scheduling
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Joey Paquet
programming languages, history of programming languages, language design
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Jamal Bentahar
software agents, multi-agent systems, software engineering
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Ferhat Khendek
software engineering, ICT, service engineering
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Weiyi (Ian) Shang
big data, software engineering, performance engineering
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Dhrubajyoti Goswami
high performance computing, parallel architectural skeletons, distributed computing
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Tse-Hsun (Peter) Chen
performance engineering, DevOps, software quality and best practices
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Tien D. Bui
computer vision, biometrology, artificial intelligence
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Mohsen Farhadloo
machine learning, data mining, text analytics
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Jun Cai
machine learning, distributed computing, energy efficiency
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Juergen Rilling
software engineering, Internet of Things, software quality and best practices
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Mazdak Nik-Bakht
construction management, BIM, decision making
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Serguei A. Mokhov
Forensic Lucid, formal methods, software engineering
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Roch Glitho
end-user services architectures, virtualization, cloud computing
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Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence
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Nawwaf Kharma
soft computing, synthetic biology, image processing
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Ali Akgunduz
aviation industry, air traffic control, greener aviation
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Brigitte Jaumard
large scale optimization, networks, ICT
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Gregory Butler
bioinformatics, big data, genomics
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Olga Ormandjieva
software engineering, software metrics, category theory
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Emad Shihab
software engineering, mining software repositories, mobile apps
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Leila Kosseim
computational linguistics, natural language processing, artificial intelligence
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Cody Hyndman
mathematical finance, computational finance, machine learning
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Michael T. Hallett
computational biology, bioinformatics, systems biology
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Nikolaos Tsantalis
software engineering, system engineering and evolution, code refactoring
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Arash Mohammadi
signal processing, information fusion, nonlinear systems
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Jamshid Etezadi-Amoli
multivariate statistics, business statistics, structural equation modeling
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Yann-Gaël Guéhéneuc
pattern-based software engineering, design pattern detection, metamodeling
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Shahin Hashtrudi Zad
control systems, discrete event systems, biological systems
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Raul Valverde
information systems reengineering, accounting information systems, e-supply chains
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Thomas G. Fevens
bioimaging, image processing, deep learning
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Lata Narayanan
networks, algorithm design, robotics
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Abdelwahab Hamou-Lhadj
empirical software engineering, complex software systems, software maintenance
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Nizar Bouguila
computer vision, data mining, machine learning
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Yuhong Yan
service-oriented computing, end-user services architectures, enterprise applications
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Volker Haarslev
knowledge organization, representation, automated reasoning
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Peter Grogono
machine learning, programming languages, process-oriented programming
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Sudhir Mudur
computer graphics, 3D digital imaging, 3D data acquisition
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Mohamed Ouf
green buildings, occupant behavior, energy modeling and optimization
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Miao Song
performing arts, interactive projection mapping, cinema
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Charles Basenga Kiyanda
thermofluids, mathematical modeling, shock waves
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Jun Yan
smart grids, cyberphysical security, machine learning
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Rustam Vahidov
design science, decision support systems, artificial intelligence