How can program analysis and data mining techniques be applied to improve computer system performance?
Tse-Hsun (Peter) Chen
- Assistant Professor
- Department of Computer Science and Software Engineering
- performance engineering2
- DevOps
- software quality and best practices12
- software engineering28
- debugging4
- software log mining2
- object-oriented frameworks7
- mining software repositories7
- empirical software engineering9
- data mining25
- machine learning36
- databases6
- topic models
- distributed/parallel systems21
- networks32
- programming languages7
- information retrieval10
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Weiyi (Ian) Shang
big data, software engineering, performance engineering
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Yann-Gaël Guéhéneuc
pattern-based software engineering, design pattern detection, metamodeling
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Juergen Rilling
software engineering, Internet of Things, software quality and best practices
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Serguei A. Mokhov
Forensic Lucid, formal methods, software engineering
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Emad Shihab
software engineering, mining software repositories, mobile apps
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Jinqiu Yang
automatic software repair, software testing, mining software repositories
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Abdelwahab Hamou-Lhadj
empirical software engineering, complex software systems, software maintenance
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Nikolaos Tsantalis
software engineering, system engineering and evolution, code refactoring
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Joey Paquet
programming languages, history of programming languages, language design
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Dhrubajyoti Goswami
high performance computing, parallel architectural skeletons, distributed/parallel systems
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Rodrigo Morales Alvarado
automated software improvement, empirical software engineering, software quality and best practices
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Sudhir Mudur
computer graphics, 3D digital imaging, 3D data acquisition
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Ferhat Khendek
software engineering, ICT, service engineering
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Nizar Bouguila
computer vision, data mining, machine learning
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Ayda Basyouni
software quality and best practices, information system security, networks
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Jamal Bentahar
software agents, multi-agent systems, software engineering
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Krzysztof Dzieciolowski
business analytics, data science, artificial intelligence
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Jia Yuan Yu
data science, decision theory, machine learning
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Arash Mohammadi
signal processing, information fusion, nonlinear systems
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Jun Cai
machine learning, distributed/parallel systems, energy efficiency
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Peter Grogono
machine learning, programming languages, process-oriented programming
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Essam Mansour
distributed/parallel systems, web data management, large-scale analytics on strings
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Yan Liu
big data, distributed/parallel systems, deep learning
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Pat Riva
librarianship, ontologies, information retrieval
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Tristan Glatard
big data, distributed/parallel systems, cloud computing
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Dongyu Qiu
networks, network performance evaluation, wireless networks
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Mohsen Farhadloo
machine learning, data mining, text analytics
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Miao Song
performing arts, interactive projection mapping, cinema
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Leila Kosseim
computational linguistics, natural language processing, artificial intelligence
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Roch Glitho
end-user services architectures, virtualization, cloud computing
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Olga Ormandjieva
software engineering, software metrics, category theory
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Anjali Agarwal
cloud networks, wireless networks, cognitive radio networks
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Nawwaf Kharma
soft computing, synthetic biology, image processing
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Chun Wang
distributed/parallel systems, e-supply chains, scheduling
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Lata Narayanan
networks, algorithm design, robotics
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Rustam Vahidov
design science, decision support systems, artificial intelligence
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Navneet Vidyarthi
logistics planning, supply chains, humanitarian intervention
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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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Tien D. Bui
computer vision, biometrology, artificial intelligence