معرفی
Sheridan Houghten is a Professor in the Department of Computer Science at Brock University, part of the Faculty of Mathematics & Science. He holds a BSc, MSc, and PhD in Mathematics and Computer Science from Concordia University. His research focuses on combinatorial optimization, computational intelligence, and bioinformatics, with applications in coding theory, graph compression, and epidemiological modeling. He actively supervises graduate and undergraduate students in these areas.
Education: BSc (Mathematics) from Concordia University (1991); MSc (Computer Science) from Concordia (1993); PhD (Computer Science) from Concordia (1999).
Research interests include developing algorithms for bioinformatics problems (e.g., disease gene association, gait analysis in Parkinson's patients), optimizing error-correcting codes, and using evolutionary computation for network modeling. His work bridges theoretical computer science with practical applications in healthcare and cybersecurity.
Recent research trends involve epidemic modeling using weighted networks, AI-driven cybersecurity analysis, and compression techniques for game graphs and biomedical data. He has contributed to tools like GADGIT for disease gene identification and collaborated on projects analyzing epidemic variants and vaccination strategies.
Advising and grants: Supervised over 40 students, emphasizing interdisciplinary approaches. Active in IEEE committees including the Computational Intelligence Society. Coaches Brock's International Collegiate Programming Contest teams.
Labs/Teams: Leads a research group exploring computational intelligence applications in bioinformatics, cybersecurity, and network science. Collaborates with interdisciplinary teams on projects involving evolutionary algorithms and biomedical data analysis.
