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Olubisi Runsewe

Olubisi Runsewe

Director, Master of Artificial Intelligence (MIAI) program

School of Engineering Design and Teaching Innovation

Artificial Intelligence Machine Learning Data Science Data Mining Data Analytics Databases Electronic Business Internet Technologies Artificial Intelligence and Data-centric Intelligent Systems Generative AI and Agentic Systems (Large Language Models and Multimodal AI) AI Systems and Machine Learning Operations (MLOps) Autonomous AI Systems for Smart Cities Industry and Education AI for Healthcare and Biomedical Systems Climate Energy and Sustainable AI Trustworthy Human-Centric & Governed AI

Olubisi Runsewe is an Executive in Residence and Director of the Master of Artificial Intelligence (MIAI) program at the University of Ottawa. She received her Master’s and PhD degrees in Digital Transformation and Innovation from the University of Ottawa, where her doctoral research focused on the application of Machine Learning to address cloud computing resource challenges. Prior to her current appointment, she served as the Artificial Intelligence Track Coordinator for the Digital Egypt Builders Initiative (DEBI), an international collaboration between the University of Ottawa and Cairo University. In this role, she contributed to program delivery, student mentorship, faculty collaboration, and industry engagement initiatives designed to prepare the next generation of AI professionals.
Olubisi has extensive experience in curriculum design and higher education teaching. She has developed and delivered courses in Artificial Intelligence and related areas at the Faculty of Engineering, including Machine Learning, Data Science, Data Mining, Data Analytics, Databases, Electronic Business, and Internet Technologies. Her teaching emphasizes the practical application of AI techniques, data-driven decision-making, and responsible use of emerging technologies in real-world settings. In addition to her academic work, she has significant industry expertise in artificial intelligence, data engineering, advanced data analytics, and digital transformation. Following the completion of her PhD, she held AI and data-focused roles, leading the design, development, and implementation of intelligent solutions that leverage AI, advanced analytics, and modern data architectures to address complex business challenges and drive organizational value.