Haya El Ghalayini
Professor
Faculty of Applied Science & Technology
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Biography
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Teaching & Research Interests
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Haya ElGhalayini received her PhD in computer science from University of the West of England, Bristol-UK. Her PhD was in the area of reverse engineering bioinformatics ontologies to conceptual data models. Haya has published number of conference and journal papers related to the field of ontologies, conceptual modelling, social network analysis, project-based learning, and designing eLearning contents.
Prior to Sheridan Haya was an assistant professor at Petra University, Jordan, teaching introductory and advanced courses in computer science and software engineering. In addition to teaching, she has participated in different administrative work in the Faculty of Information Technology.There, she led projects to engage students in information technology departments to participate and volunteer in community services. She has worked at McMaster University as a sessional instructor for principles of programming languages and data structures and algorithms courses.
Teaching Interests
- Taught different computer science courses that include programming languages (e.g., Python, Java, C++), Programming languages principle, Data structures and Algorithms Design, Machine learning inn Python, Software Design and cloud computing , thesis and capstone supervision
Research Interests
- Simulation and visualization to support urban planning decision-making, development of an origin-destination matrix to study the utilization of an area of interest, review of ontology modularization techniques, developing analytical and critical thinking in designing algorithms, development of ontologies from existing ontologies or data sources..• Simulation and visualization to support urban planning decision-making, development of an origin-destination matrix to study the utilization of an area of interest, review of ontology modularization techniques, developing analytical and critical thinking in designing algorithms, development of ontologies from existing ontologies or data sources..
