Projects per year
Personal profile
Biography
Ingrid works in the Faculty of Information Technology at Monash University as a Professor.
Research interests
- Natural language processing
- Discourse planning
- Spoken language understanding
- User modeling
- Plan recognition
Monash teaching commitment
Professor Ingrid Zukerman has experience as the Chief Examiner for the following units in the Faculty of IT:
- FIT3080 Intelligent systems
- FIT4009 Advanced topics in intelligent systems
- FIT5047 Intelligent systems
- FIT9005 Computer architecture and networks
Ingrid has experience as the Lecturer for the following units in the Faculty of IT:
- FIT3036 Computer science project
- FIT3080 Intelligent systems
- FIT4009 Advanced topics in intelligent systems
- FIT5047 Intelligent systems
- FIT9005 Computer architecture and networks
Expertise related to UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Education/Academic qualification
Computer Science, Doctor of Philosophy, University of California Los Angeles
Award Date: 20 Jun 1986
Operations Research, Master of Science, Technion - Israel Institute of Technology
Award Date: 23 Sept 1979
Industrial Engineering and Management, Bachelor of Science, Technion - Israel Institute of Technology
Award Date: 16 Jun 1976
Research area keywords
- Artificial intelligence
- Discourse Planning
- Multi-Media Interfaces
- Natural Language Processing
- Plan recognition
- User Modelling
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Accessible Data Exploration and Analysis for Blind People
Marriott, K. (Primary Chief Investigator (PCI)), Butler, M. (Chief Investigator (CI)), Zukerman, I. (Chief Investigator (CI)), Qu, L. (Chief Investigator (CI)) & Lee, B. (Partner Investigator (PI))
Australian Research Council (ARC)
28/02/23 → 27/02/27
Project: Research
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CSIRO Next Generation Graduate Program: Enhancing General Practitioner Decision-Making in Antidepressant Prescriptions: A Data-Driven Approach
McNaney, R. (Primary Chief Investigator (PCI)), Zukerman, I. (Supervisor), Pierce, C. (Supervisor) & Duong, T. H. H. (Chief Investigator (CI))
24/07/23 → 24/05/24
Project: Research
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Improving human reasoning with causal Bayes networks: a multimodal approach
Nicholson, A. (Primary Chief Investigator (PCI)), Wybrow, M. (Chief Investigator (CI)), Zukerman, I. (Chief Investigator (CI)), Lagnado, D. (Chief Investigator (CI)) & Hahn, U. (Chief Investigator (CI))
1/12/20 → 2/12/24
Project: Research
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Explaining the outcomes of complex models
Zukerman, I. (Primary Chief Investigator (PCI)), Haffari, R. (Chief Investigator (CI)) & Reiter, E. (Partner Investigator (PI))
1/07/19 → 31/10/22
Project: Research
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Explaining the outcomes of complex computational models (Explainable AI)
Situ, X., Zukerman, I., Haffari, R., Paris, C. & Xu, C.
1/07/18 → 18/03/22
Project: Research
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Modeling and Detecting Urinary Anomalies in Seniors from Data Obtained by Unintrusive Sensors
Ge, Y., Salehi, M., Vered, M. & Zukerman, I., 2025, Machine Learning and Principles and Practice of Knowledge Discovery in Databases - International Workshops of ECML PKDD 2023 Turin, Italy, September 18–22, 2023 Revised Selected Papers, Part IV. Meo, R. & Silvestri, F. (eds.). Cham Switzerland: Springer, p. 336-344 9 p. (Communications in Computer and Information Science; vol. 2136).Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
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When Refreshable Tactile Displays Meet Conversational Agents: Investigating Accessible Data Presentation and Analysis with Touch and Speech
Reinders, S., Butler, M., Zukerman, I., Lee, B., Qu, L. & Marriott, K., Jan 2025, In: IEEE Transactions on Visualization and Computer Graphics. 31, 1, p. 864-874 11 p.Research output: Contribution to journal › Article › Research › peer-review
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Communicating Uncertainty in Explanations of the Outcomes of Machine Learning Models
Zukerman, I. & Maruf, S., 2024, INLG 2024, The 17th International Natural Language Generation Conference, Proceedings of the Conference, Proceedings of the Conference. Mahamood, S., Le Minh, N. & Ippolito, D. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 30–46 17 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
Generating Simple, Conservative and Unifying Explanations for Logistic Regression Models
Maruf, S., Zukerman, I., Situ, X., Paris, C. & Haffari, R., 2024, INLG 2024, The 17th International Natural Language Generation Conference, Proceedings of the Conference, Proceedings of the Conference. Mahamood, S., Le Minh, N. & Ippolito, D. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 103–120 18 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access -
Going beyond Imagination! Enhancing Multi-modal Dialogue Agents with Synthetic Visual Descriptions
Zhan, H., Maruf, S., Zukerman, I. & Haffari, R., 2024, Proceedings of the 25th Annual Meeting of the Special Interest Group on Discourse and Dialogue. Demberg, V. & Ultes, S. (eds.). Stroudsburg PA USA: Association for Computational Linguistics (ACL), p. 420–427 8 p.Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review
Open Access