Associate Professor Dr. Phayung Meesad
Biography
Associate Professor Dr. Phayung Meesad is a Computer Scientist and Data Scientist who focuses his work on the development of optimization and learning algorithms. Besides teaching the Algorithm for Information and Data Science course, Dr. Meesad also holds the position of Director of a Smart Digital Library project. His career is quite diverse, covering system engineering, database design, software development, testing, auditing, and applied machine learning.
The teaching of Dr. Meesad is very much focused on Outcome-Based Education (OBE), clearly defining the problem and conducting experiments that can be repeated. As per his teachings, students learn the theory and then directly apply it in the practical part, which enables them to transition from complexity analysis to metaheuristics and responsible AI. They then write the results in the form of code, logs, and reports.
Expertise and interests
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Algorithm design: recursive, deterministic, approximation, and metaheuristics (GA, DE/ES, PSO, ACO).
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Machine learning for feature selection, clustering, and hyperparameter optimization.
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Reproducible research, fairness constraints, and privacy-aware modeling.
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System design, data wrangling, and visualization for decision support.