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Hamoud Aljamaan
PeerJ Author & Reviewer
130 Points

Contributions by role

Author 100
Reviewer 30

Contributions by subject area

Artificial Intelligence
Data Mining and Machine Learning
Software Engineering
Algorithms and Analysis of Algorithms
Computational Science
Data Science

Hamoud Aljamaan

PeerJ Author & Reviewer

Summary

Hamoud Aljamaan is an Assistant Professor in the Information and Computer Science Department at King Fahd University of Petroleum and Minerals, Saudi Arabia. He received his Ph.D. in Computer Science from the University of Ottawa, Canada, in December 2015. His current research focuses on ensemble learning, code smell detection, software defect prediction, and stock market forecasting.

Artificial Intelligence Data Mining & Machine Learning Software Engineering

Past or current institution affiliations

King Fahad University of Petroleum and Minerals

Work details

Assistant Professor

King Fahd University of Petroleum and Minerals
January 2016
Information and Computer Science Dept

PeerJ Contributions

  • Articles 2
August 15, 2024
Dynamic stacking ensemble for cross-language code smell detection
Hamoud Aljamaan
https://doi.org/10.7717/peerj-cs.2254
May 29, 2023
Python code smells detection using conventional machine learning models
Rana Sandouka, Hamoud Aljamaan
https://doi.org/10.7717/peerj-cs.1370