Rate My Professor Ingrid Zukerman
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Inspires students to love their studies.
Encourages students to think creatively.
Encourages innovative and creative solutions.
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About Ingrid
Professor Ingrid Zukerman is a Professor in the Department of Data Science and Artificial Intelligence within the Faculty of Information Technology at Monash University. She obtained her Ph.D. in Computer Science from the University of California, Los Angeles in 1986, her M.Sc. in Operations Research from the Technion - Israel Institute of Technology in 1979, and her B.Sc. in Industrial Engineering and Management from the Technion in 1976. Throughout her career at Monash University, she has held teaching roles since 1986, including lecturing in Artificial Intelligence from 1986 to 1994, Natural Language Processing Honours in 1996-1999, 2008, and 2010, Intelligent Software Systems from 2007 to 2009, and Computer Architecture and Networks in 2011. She has served as Chief Examiner for units such as FIT3080 Intelligent Systems, FIT4009 Advanced Topics in Intelligent Systems, FIT5047 Intelligent Systems, and FIT9005 Computer Architecture and Networks.
Her research specializations encompass natural language processing, discourse planning, spoken language understanding, user modeling, plan recognition, artificial intelligence, multi-media interfaces, and user modelling. Key publications include 'Predictive statistical models for user modeling' (2001, User Modeling and User-Adapted Interaction), 'Bayesian models for keyhole plan recognition in an adventure game' (1998, User Modeling and User-Adapted Interaction), 'When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech' (2025, IEEE Transactions on Visualization and Computer Graphics), 'Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models' (2024, INLG), 'Generating Simple, Conservative and Unifying Explanations for Logistic Regression Models' (2024, INLG), and 'Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors' (2025). Her work contributes to advancements in AI explanations, accessible technologies, and health monitoring for seniors, reflecting her long-standing impact in the field of artificial intelligence and human-computer interaction.
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