Jeffrey is a Professor in the School of Computing Technologies. His research interests lie in machine learning, recommender systems, responsible AI, data-driven optimisation and interdisciplinary research that combines these fields to solve social and industry-based applications. He has worked with industry and non-profit partners in retail, sustainability, energy, manufacturing and health.
Fairness in Recommendation Systems
Jeffrey is an experienced and passionate educator, and has more than 10 years teaching at the tertiary level. He has taught and developed fundamental computer science courses such as Algorithms & Analysis, an introductory algorithms and data structure course, Social Media and Network Analytics and Machine Learning. He has also engaged with industry partners and students when coordinating the WIL course Data Science Projects. Jeffrey's teaching philosophy is to guide and help students to learn and gain confidence to become independent learners and practitioners.
Jeffrey's high level research interest lie in Artificial Intelligence, Machine learning and Data Science.
He focuses on Responsible AI, Recommender Systems, Data-driven Optimisation.
Acknowledgement of Country
RMIT University acknowledges the people of the Woi wurrung and Boon wurrung language groups of the eastern Kulin Nation on whose unceded lands we conduct the business of the University. RMIT University respectfully acknowledges their Ancestors and Elders, past and present. RMIT also acknowledges the Traditional Custodians and their Ancestors of the lands and waters across Australia where we conduct our business - Artwork 'Sentient' by Hollie Johnson, Gunaikurnai and Monero Ngarigo.