Mohannad Al-Mousa
Mohannad Al-Mousa, PhD, is a lecturer at the University of Niagara Falls Canada. His research spans Natural Language Processing (NLP), beginning with knowledge-based semantic similarity/relatedness and Word Sense Disambiguation (WSD) using WordNet and more recently expanding to LLMs and low-resource language technologies, including Machine Translation (MT) in collaboration with the Kitchenuhmaykoosib Inninuwug (KI) community as part of a language preservation initiative using the NLLB framework.
He earned his PhD in Software Engineering from Lakehead University, and has received several awards including the Ontario Graduate Scholarship, NSERC IPS, and the Dean’s Scholar Award for Engineering.
He has published peer-reviewed work in venues such as Computer Speech & Language, Knowledge-Based Systems, and Digital Health, and has served as a reviewer for IEEE Transactions on Audio, Speech and Language Processing and Knowledge-Based Systems (Elsevier).
With teaching experience spanning universities and colleges, he teaches across the MDA curriculum—including Python for Data Analysis, SQL Databases, Machine Learning, Data Warehousing/Visualization, and various other course—and applies the UNF standard flipped-classroom modality to support active, student-centered learning.
In addition to his academic work, he is a Lead Architect & Co-Founder at JAAMM Tech Inc., where he leads applied R&D in low-resource MT for the KI language preservation project, bridging research with bridging research with practical, community-driven outcomes.
Courses taught
Python for Data Analysis, Data Analytics Case Study 1, SQL Databases, Machine Learning, Data Analytics Case Study 3, Data Warehousing and Visualization, Principles of Analytics
Areas of academic interest
Corporate finance, managerial accounting, financial reporting, audit and assurance, corporate sustainability, governance, investment analysis, financial modeling, project management, data-driven decision-making
Areas of specialization
Machine translation for low-resource and endangered languages leveraging transformer architectures and NLLB-style approaches, applied analytics education, NLP methods for meaning representation
Professional designations
- IEEE Member
- Reviewer: IEEE Transactions on Audio, Speech and Language Processing; Knowledge-Based Systems (Elsevier)
Awards
- Dean’s Scholar Award for Engineering
- Ontario Graduate Scholarship (2018–2019)
- NSERC IPS (2015–2018)
Publications
- AlMousa, M., Benlamri, R., & Khoury, R. (2022). A novel word sense disambiguation approach using WordNet knowledge graph. Computer Speech & Language, 74, 101337.
- Alahmar, A., AlMousa, M., & Benlamri, R. (2022). Automated clinical pathway standardization using SNOMED CT-based semantic relatedness. Digital Health, 8, 1–17.
- AlMousa, M., Benlamri, R., & Khoury, R. (2020). Exploiting non-taxonomic relations for measuring semantic similarity and relatedness in WordNet. Knowledge-Based Systems, 212, 106565.
- AlMousa, M., Benlamri, R., & Khoury, R. (2018). NLP-enriched automatic video segmentation. Proc. International Conference on Multimedia Computing and Systems (IEEE).
- AlMousa, M. & Fiaidhi, J. (2014). Developing a collaborative MOOC learning environment utilizing video sharing with discussion summarization as added value. International Journal of Multimedia and Ubiquitous Engineering, 9(11), 397–408.
