Jacky KEUNG

ORCID iD
https://orcid.org/0000-0002-3803-9600
  • Also known as
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Jacky W. Keung,

Sources:
Jacky KEUNG (2018-03-22)

Jacky Wai Keung,

Sources:
Jacky KEUNG (2018-03-22)

Jacky Keung,

Sources:
Jacky KEUNG (2018-03-22)

Jacky Keong,

Sources:
Jacky KEUNG (2018-03-22)

Jacky Keung Wai,

Sources:
Jacky KEUNG (2018-05-14)

Wai Keung

Sources:
Jacky KEUNG (2018-05-14)

  • Country
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Hong Kong SAR China

Sources:
Jacky KEUNG (2018-05-14)

  • Keywords
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Software Engineering,

Sources:
Jacky KEUNG (2018-05-14)

Deep Learning,

Sources:
Jacky KEUNG (2018-05-14)

Data Science,

Sources:
Jacky KEUNG (2018-05-14)

Data Analytics,

Sources:
Jacky KEUNG (2018-05-14)

Cost Estimation,

Sources:
Jacky KEUNG (2018-05-14)

Effort Estimation Modeling,

Sources:
Jacky KEUNG (2018-05-14)

Analogy-based,

Sources:
Jacky KEUNG (2018-05-14)

Cloud Computing,

Sources:
Jacky KEUNG (2018-05-14)

Robust Techniques,

Sources:
Jacky KEUNG (2018-05-14)

Prediction Models,

Sources:
Jacky KEUNG (2018-05-14)

Ensemble Models,

Sources:
Jacky KEUNG (2018-05-14)

Blockchain FinTech

Sources:
Jacky KEUNG (2018-05-14)

  • Websites
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DBLP Index - Jacky Keung

Sources:
Jacky KEUNG (2018-03-22)

Google Scholar

Sources:
Jacky KEUNG (2018-03-22)

City University of Hong Kong profile page

Sources:
City University of Hong Kong (2018-03-22)

  • Other IDs
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Scopus Author ID: 6603066702

Sources:
City University of Hong Kong (2018-03-22) Scopus - Elsevier (2018-03-22)

Biography

Dr. Keung received his B.Sc (Hons) in Computer Science from the University of Sydney, and his Ph.D in Software Engineering from the University of New South Wales, Australia. He worked as Research Scientist in the Software Engineering Research Group at NICTA (now DATA61/CSIRO) based in Sydney Australia for a number of years prior to returning Hong Kong. He is an active software engineering researcher, and his main research area is in software effort and cost estimation, empirical modeling and evaluation of complex systems, and intensive data mining for software engineering data in the cloud. He has worked with a number of software companies and government departments across Australia and Asia Pacific and attracted funding support research projects which had been successfully carried out. He has many published papers in the field of software engineering focusing on mining software repositories.
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