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Mosab Alfaqeeh

Assistant Professor
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Overview

Mosab Alfaqeeh is an Assistant Professor at Smith School of Business, Queen’s University, specializing in data science, machine learning, and artificial intelligence. He teaches courses in data management, analytics, and applied AI. On the applied side, his work brings AI from theory to impact by solving real-world challenges.

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Appointment Type

Term Adjunct

Interest Topics

  • Analytics & Artificial Intelligence (AI)
  • Applied Artificial Intelligence (AI)
  • Data Analytics
  • Data Science
  • Entrepreneurship
  • Innovation
  • Machine Learning
  • Management
  • Technology & Information Systems

Faculty Details

Profile

Full Bio

Mosab Alfaqeeh is an Assistant Professor (Adjunct) at Smith School of Business, Queen’s University, specializing in data science, machine learning, and artificial intelligence. He holds a PhD in Computer Science from Queen’s University, where his research focused on graph embeddings, dynamic data analysis, and multimodal representation learning.

His academic work lies at the intersection of artificial intelligence research and real-world application. Mosab’s research interests include natural language processing, large language models, representation learning, and the integration of multiple data modalities such as text, audio, and images into unified learning frameworks. His work explores how these approaches can be used to analyze large-scale unstructured data and support decision-making in complex systems.

Alongside his academic work, Mosab has extensive industry experience as an AI Architect and Lead Data Scientist, where he has designed and deployed production-grade AI systems across healthcare, media, and enterprise environments. He is the founder and technical lead of CastFox, an AI-powered podcast intelligence platform that indexes millions of podcasts and episodes and provides content-level search, analytics, and scalable API access.

Mosab has published research in leading journals and conferences, and is the author of the book Finding Communities in Social Networks Using Graph Embeddings. At Queen’s University, he teaches and mentors students in data analytics and AI-focused courses, emphasizing practical, scalable, and responsible use of artificial intelligence. On the applied side, he builds AI systems that turn research into real-world impact.

Academic Experience

Smith School of Business | Queen's University
Assistant Professor (2026 - Present)