Artificial intelligence
Research
Artificial intelligence research is a particular strength in the School of Computing and Information Systems. Our researchers address many different approaches to AI, encompassing deep learning, data mining, machine learning, natural language processing, and agent-based systems. Our theories and techniques can be applied to a wide range of practical problems, including cyber-security, health, finance and government.
Melbourne is also host to the IBM and ARC Training Centre for Cognitive Computing for Medical Technologies, which is furthering our research and translating into solving critical needs in the domains of medicine and health.
AI Assurance
Our research explores ethical, regulatory and legal issues relating to Artificial Intelligence. We validate AI technologies with respect to quality, safety, privacy, and reliability.
AI and Autonomy
Intelligent systems can act (semi-)autonomously, working alongside human experts to analyse and help solve complex challenges. Designing good agents needs to balance the ability of agents to work effectively with other agents and human experts to have the maximum real-world impact.
Data Mining and Machine Learning
We develop novel algorithms that analyse data more accurately and more rapidly. We combine complementary research into both data mining and machine learning approaches, and are very active in the recently emerged field of deep learning.
Health Data Analytics
Health data – including observational data collected in clinical care, administrative reporting data, and personal sensor-derived data – is voluminous, diverse, and complex, creating tremendous opportunities to gain insight into disease, its progression, and best personalised treatments. Data mining and machine learning algorithms that are designed specifically for the health context are key to supporting clinical decision making, building predictive models, and planning care.
Health Informatics and Digital Health
Natural Language Processing
Using machine intelligence to leverage human language is a fundamental technique for utilising AI, which can be used in medicine, government and to assist search engines. Our natural language processing team work on a variety of methods to make computers better able to find and use textual documents and supplement human abilities.
The group is based in the School of Computing and Information Systems at the University of Melbourne, Australia.
Staff
Given name | Family name | Position | Profile | |
---|---|---|---|---|
Uwe | Aickelin | Professor and Head of School | Profile | uwe.aickelin@unimelb.edu.au |
Elaheh | Alipourchavary | Research Fellow | ella.alipourchavary@unimelb.edu.au | |
James | Bailey | Professor | Profile | baileyj@unimelb.edu.au |
Emma | Baillie | Research Assistant in Explainable AI | emma.baillie@unimelb.edu.au | |
Tim | Baldwin | Professor | Profile | tbaldwin@unimelb.edu.au |
Kasun | Bandara | Research Fellow | Profile | kasun.bandara@unimelb.edu.au |
Daniel | Beck | Lecturer | Profile | beck.d@unimelb.edu.au |
Michelle | Blom | Senior Lecturer | Profile | michelle.blom@unimelb.edu.au |
Renata | Borovica-Gajic | Lecturer | Profile | renata.borovica@unimelb.edu.au |
Daniel | Capurro | Senior Lecturer | Profile | dcapurro@unimelb.edu.au |
Marc | Cheong | Senior Research Fellow In Digital Ethics | Profile | marc.cheong@unimelb.edu.au |
Trevor | Cohn | Professor | Profile | trevor.cohn@unimelb.edu.au |
Michael | Conway | Senior Lecturer | Profile | mike.conway@unimelb.edu.au |
Andrew | Cullen | Research Fellow In Adversarial Machine Learning | Profile | andrew.cullen@unimelb.edu.au |
Simon | D'Alfonso | Lecturer | Profile | dalfonso@unimelb.edu.au |
Sai Krishna | Davuluri | Research Fellow | saikrishna.davuluri@unimelb.edu.au | |
Kris | Ehinger | Senior Lecturer | Profile | kris.ehinger@unimelb.edu.au |
Peter | Eze | Research Fellow In Artificial Intelligence | Profile | peter.eze@unimelb.edu.au |
Lea | Frermann | Lecturer | Profile | lea.frermann@unimelb.edu.au |
Nicholas | Geard | Associate Professor | Profile | nicholas.geard@unimelb.edu.au |
Benjamin | Goudey | Research Fellow In Network Science | Profile | ben.goudey@unimelb.edu.au |
Dominic | Jack | Research Fellow | dom.jack@unimelb.edu.au | |
Shanika | Karunasekera | Professor | Profile | karus@unimelb.edu.au |
Qiuhong | Ke | Lecturer | Profile | qiuhong.ke@unimelb.edu.au |
Yousef | Kowsar | Research Fellow In Machine Learning | Profile | kowsar.yousef@unimelb.edu.au |
Michael | Kirley | Professor | Profile | mkirley@unimelb.edu.au |
Lars | Kulik | Professor | Profile | lkulik@unimelb.edu.au |
Jey Han | Lau | Lecturer | Profile | jeyhan.lau@unimelb.edu.au |
Chris | Leckie | Professor | Profile | caleckie@unimelb.edu.au |
Yuan | Li | Research Fellow In Information Extraction | Profile | yuan.li1@unimelb.edu.au |
Pauline | Lin | Lecturer | Profile | pauline.lin@unimelb.edu.au |
Nir | Lipovetzky | Senior Lecturer | Profile | nir.lipovetzky@unimelb.edu.au |
Ling | Luo | Lecturer | Profile | ling.luo@unimelb.edu.au |
Chaitanya | Manapragada | Research Fellow - Smarter And Faster Pharma | Profile | chaitanya.manapragada@unimelb.edu.au |
Neil | Marchant | Research Fellow In Machine Learning | Profile | nmarchant@unimelb.edu.au |
Prashan | Mathugama Babun Appuhamilage | Postdoctoral Research Fellow, Future of Work (AI) | Profile | pmathugamaba@unimelb.edu.au |
Tim | Miller | Professor | Profile | tmiller@unimelb.edu.au |
Sarah | Monazam Erfani | Senior Lecturer | Profile | sarah.erfani@unimelb.edu.au |
Adrian | Pearce | Professor | Profile | adrianrp@unimelb.edu.au |
Douglas | Pires | Senior Lecturer | Profile | douglas.pires@unimelb.edu.au |
Jianzhong | Qi | Senior Lecturer | Profile | jianzhong.qi@unimelb.edu.au |
Ben | Rubinstein | Professor | Profile | benjamin.rubinstein@unimelb.edu.au |
Simone | Schmidt | Research Assistant in Digital Mental Health | simone.schmidt@unimelb.edu.au | |
Aili | Shen | Research Fellow In Multimodal Document Analysis | Profile | aili.shen@unimelb.edu.au |
Liz | Sonenberg | Professor and Pro Vice-Chancellor (Research Collaboration) | Profile | l.sonenberg@unimelb.edu.au |
Long | Song | Research Fellow | long.song@unimelb.edu.au | |
Yuan | Sun | Research Fellow - Smarter And Faster Pharma | Profile | yuan.sun@unimelb.edu.au |
Leon | Sterling | Professor | Profile | leonss@unimelb.edu.au |
Patanamon | Thongtanunam | Lecturer | Profile | patanamon.t@unimelb.edu.au |
Joseph | West | Research Fellow | Profile | joseph.west@unimelb.edu.au |
Cameron | Zachreson | Research Fellow In Modelling & Simulation | Profile | cameron.zachreson@unimelb.edu.au |
Artificial Intelligence Graduate Researchers
Given | Family name | Profile | Thesis Title |
---|---|---|---|
Abeer | Alshehri | Profile | Explanation of goal recognition systems |
Hanan | Alsouly | Profile | Dynamic many-objective optimisation using evolutionary algorithms |
Sobia | Amjad | Profile | Health analytics for recognition of medical emergencies in hospital |
Jiayang | Ao | Profile | Explainable computer vision algorithms |
Vincent | Barbosa Vaz | Profile | Predict+optimise through time |
Lyndon | Benke | Profile | Deceptive planning in multiagent environments |
Uri | Berger | Profile | Interactive multimodal language acquisition |
Shraey | Bhatia | Profile | Text to image synthesis using generative adversarial networks |
Nestor | Cabello Wilson | Profile | TBC |
Daniel | Cabrera Lozoya | Profile | Augmenting clinical mental health practice with machine learning models and digital phenotyping insights |
Nathaniel | Carpenter | Profile | Towards a therapist's AI - Building a real-time support system for clinicians engaging in therapeutic conversations via online chat sessions |
Yanchuan | Chang | Profile | Spatial indices with non-trivial performance guarantees |
Wachiraphan | Charoenwet | Profile | Pragmatic use of CodeQL in the context of code review |
Arjun | Chaudhary | Profile | Medical data mining |
Jiyu | Chen | Profile | Automatic biological data curation based on language understanding and network analysis |
Sayantan | Dasgupta | Profile | Energy-Aware Machine Learning |
Aparna | Elangovan | Profile | Curate biological gene regulation pathways through text mining |
Biaoyan | Fang | Profile | Anaphora resolution in biochemical text |
Yilin | Geng | Profile | Cross-lingual Representations in Interpretable Language Models |
Gourab | Ghosh Roy | Profile | Interplay of network architecture and dynamics for understanding emergence in complex systems |
Ali Ugur | Guler | Profile | Integration of machine learning and constraint optimisation |
Xudong | Han | Profile | Gender bias detection and debiasing in models of human language |
Tom | Harris | Profile | Multiscale modelling of infectious disease systems |
Haitian | He | Profile | Video anomaly detection in crowded scenes at multi-timescale |
Jiabo | He | Profile | Reinforcement Learning for Surgical Procedures |
Daniel | Herring | Profile | Dynamic Multi-Objective Optimization Using Evolutionary Algorithms |
Markus | Hiller | Profile | Constraining learning methods through geometry and causal reasoning |
Guang | Hu | Profile | Explainable agency using epistemic planning |
Hanxun | Huang | Profile | Robust machine learning |
Sukai | Huang | Profile | Texted based reinforcement learning agent |
Xinting | Huang | Profile | Low resource dialogue system learning by knowledge sharing |
Zhuoqun (Calvin) | Huang | Profile | Adaptive data analysis for principled data reuse |
Fan | Jiang | Profile | Retriever-augmented Approaches for Natural Language Processing |
Weiwei | Jiang | Profile | Developing interactive systems using Near-Infrared Spectroscopy |
Yujing | Jiang | Profile | Adversarial machine learning with medical application |
Anirudh | Joshi | Profile | Determining argument quality and reasoning proficiency using deep neural networks |
Oliver | Kim | Profile | Task planning in mobile robots using common sense as a generative model |
Fajri | Koto | Profile | Neural Language Model for Abstractive Text Summarisation |
Kemal | Kurniawan | Profile | Transfer learning and annotation projection for parsing low-resource languages with neural networks |
Robert | Langtry | Profile | Machine learning for automated generation of validated infra-red signature models |
Thao | Le | Profile | Explaining the Confidence in AI-Assisted Decision Making |
Chao | Lei | Profile | Automated Monitoring of Green Infrastructure in Melbourne |
Craig | Lewis | Profile | Entrepreneurial initiatives and team collaboration: Effects of modes of behaviour on start-up team effectiveness and success |
Haonan | Li | Profile | Geospatial Information with Natural Language Processing |
Haopeng | Li | Profile | Multimodal Video Understanding Based on Deep Learning |
Miao | Li | Profile | Neural Multi-document Modelling and Abstractive Summarization |
Zheng Wei | Lim | Profile | Cross-lingual Psycholinguistics with NLP methods |
Chunhua | Liu | Profile | Word Association Understanding |
Guanli | Liu | Profile | Learned spatial indices |
Jinghui | Liu | Profile | Analysis of electronic health records for clinical decision support |
Shijie | Liu | Profile | Enhancing adversarial defence via robust statistics and certified robustness |
Yuansan | Liu | Profile | Robust AI for guidance of a cochlear implant procedure |
Mansoureh | Maadi | Profile | Robust data mining |
Isura | Manchanayaka | Profile | Identifying Coordination and Influential People in Social Media and Their Intentions |
Kevin | McDonald | Profile | Enhancing reinforcement learning algorithms for team-based systems |
Christopher | McMaster | Profile | Machine learning models for predicting and mitigating adverse drug reactions |
Mahtab | Mirmomeni | Profile | Improved data analytic techniques for activity recognition using time-series data from wearable sensors |
Hadi | Mohaghegh Dolatabadi | Profile | Normalising flows: new methods and new applications |
Bruna | Moreira da Silva | Profile | Deconvoluting epilepsy patient data using machine learning |
Winton | Nathan-Roberts | Profile | Semi-Supervised Learning with Privileged Information for Medical Applications |
Bastian | Oetomo | Profile | Self-Driving Database with Bandit Learning Algorithms |
Yulia | Otmakhova | Profile | Multi-document summarization supporting clinical evidence review |
Stefan | O'Toole | Profile | The intersection of planning and learning through cost-to-go approximations, imitation and symbolic regression |
Zhihao (Hardy) | Pei | Profile | Reinforcement Learning for robust decision-making under deep uncertainty |
Tien Dung | Pham | Profile | A Robust Datamining Approach to Cell Culture Media Optimisation |
Malinga | Perera | Profile | Use of Reinforcement Learning in Self-tuning Database Physical Design Structures under Dynamic and Unexplored Workloads |
Yiyuan (Gracie) | Pu | Profile | Literature-based discovery for Alzheimer's disease |
Viktoria | Schram | Profile | Calibration of Performance Prediction in Low-Resource Settings |
Rinu Ann | Sebastian | Profile | Explainable computer vision to improve human-machine interaction |
Prabodi | Senevirathna | Profile | Quantifying and mitigating machine-learning induced overdiagnosis in sepsis |
Rahul | Sharma | Profile | Decentralised anomaly detection in multi-access edge computing |
Xinling | Shen | Profile | Dynamic Indoor Evacuation Planning in an Emergency |
Amila | Silva | Profile | Dynamic representation learning framework for heterogeneous networks |
Anubhav | Singh | Profile | AI planning in embedded autonomous systems |
Steven | Spratley | Profile | Abstraction and Generalisation in Vision Systems |
Xinyu | Su | Profile | Traffic prediction using graph neural networks |
Yixin | Su | Profile | Explainable Recommendation Systems |
Nefel | Tellioglu | Profile | Modeling the evolutionary and epidemiology dynamics of group A streptococcus |
Hung Thinh | Truong | Profile | Evidence extraction from the clinical trials literature |
Archana | Vadakattu | Profile | Dynamic learning in cognitive agent architectures |
Gisela | Vallejo | Profile | A Fair Plan Towards Mitigating Bias and Misinformation |
Takashi | Wada | Profile | Multilinguality and acceptability in language |
Chen | Wang | Profile | Inverse Reinforcement Learning Approach for intent inference in adversarial environments |
Chenyang | Wang | Profile | Extending matrix profile with soft comparison operators and weighting functions for time series anomaly detection |
Dalin | Wang | Profile | Image captioning with conditional-GAN |
Jun | Wang | Profile | Adversarial machine learning for machine translation |
Yuxia | Wang | Profile | Clinical text mining and analysis |
Helani | Wickramaarachchi | Profile | An efficient, autonomous reward shaping algorithm with evolutionary game theory: applied to the field of multi-agent systems |
Dehiwala | Wijesinghe | Profile | Prediction of patient outcomes using collaboration data |
Zhuohan | Xie | Profile | Hierarchically structured neural narrative generation |
Rui | Profile | Poetry Generation | |
Aotao (John) | Xu | Profile | A computational analysis of conceptual combination through time |
Diana | Yang | Profile | Robust data mining |
Jinrui | Yang | Profile | Fairness and Bias in Natural Language Processing |
Shiquan | Yang | Profile | TBC |
Meng Abigail | Yuan | Profile | Modalities and measurement of systems for information discovery |
Zenan | Zhai | Profile | Biochemical text mining for advancing chemical and pharmaceutical knowledge |
Chenyuan | Zhang | Profile | Computational cognitive model of plan recognition |
Ruihan | Zhang | Profile | Explainable Machine Learning |
Tianyi | Zhang | Profile | Digital phenotyping (personal sensing) for mental health and well-being |
Anqi | Zhu | Profile | Action recognition with explanation |
Rongxin | Zhu | Profile | Automatic summarization for multi-party conversation |
Farzaneh | Zirak | Profile | Using Eye-Tracking Technology to Improve Visual Data Exploratory Tools Performance |
About Us
Artificial intelligence, or AI, is increasingly being integrated into our everyday lives. They are in our smartphones (e.g. Siri), facial recognition system in Melbourne Airport, automatic captions on YouTube, and translations on Facebook, just to name a few examples. But how can we make AI truly understand human language? This is an important question, because language is uniquely human — it defines us and our intelligence. Through developing AI that understands language, our research marches one step closer to unlocking the mysteries of our language faculty.
People
Academic Staff
- Tim BaldwinProfessor
Google Scholar tbaldwin@unimelb.edu.au - Trevor CohnProfessor
Google Scholartrevor.cohn@unimelb.edu.au - Eduard Hovy Executive Director
Melbourne Connect
Google Scholareduard.hovy@unimelb.edu.au
- Jey Han Lau Lecturer
Google Scholarjeyhan.lau@unimelb.edu.au - Lea Frermann Lecturer
Google Scholarlea.frermann@unimelb.edu.au - Daniel Beck Lecturer
Google Scholar beck.d@unimelb.edu.au
Research Staff
- Yuan LiResearch Fellow
Google Scholar yuan.li1@unimelb.edu.au - Aili ShenResearch Fellow
Google Scholaraili.shen@unimelb.edu.au - Joseph WestResearch Fellow
Google Scholar
joseph.west@unimelb.edu.au
Honorary Staff
- Karin VerspoorProfessor
Google Scholar - Meladel MisticaResearch Data Specialist
Google Scholar - Simon Šuster
Research Fellow
Google Scholar
NLP Graduate Researchers
Given | Family name | Profile | Thesis Title |
---|---|---|---|
Uri | Berger | Profile | Interactive multimodal language acquisition |
Shraey | Bhatia | Profile | TBC |
Jiyu | Chen | Profile | Automatic biological data curation based on language understanding and network analysis |
Sayantan | Dasgupta | Profile | TBC |
Biaoyan | Fang | Profile | Anaphora resolution in biochemical text |
Yilin | Geng | Profile | Cross-lingual Representations in Interpretable Language Models |
Xudong | Han | Profile | Gender bias detection and debiasing in models of human language |
Sukai | Huang | Profile | Texted based reinforcement learning agent |
Fan | Jiang | Profile | Retriever-augmented Approaches for Natural Language Processing |
Anirudh | Joshi | Profile | TBC |
Fajri | Koto | Profile | Neural Language Model for Abstractive Text Summarisation |
Kemal | Kurniawan | Profile | TBC |
Haonan | Li | Profile | Geospatial Information with Natural Language Processing |
Miao | Li | Profile | Neural Multi-document Modeling and Abstractive Summarization |
Zheng Wei | Lim | Profile | Cross-lingual Psycholinguistics with NLP methods |
Chunhua | Liu | Profile | Word Association Understanding |
Yulia | Otmakhova | Profile | Multi-document summarization supporting clinical evidence review |
Viktoria | Schram | Profile | Calibration of Performance Prediction in Low-Resource Settings |
Hung Thinh | Truong | Profile | Evidence extraction from the clinical trials literature |
Gisela | Vallejo | Profile | A Fair Plan Towards Mitigating Bias and Misinformation |
Takashi | Wada | Profile | Multilinguality and acceptability in language |
Dalin | Wang | Profile | Image captioning with conditional-GAN |
Jun | Wang | Profile | Adversarial machine learning for machine translation |
Yuxia | Wang | Profile | Clinical text mining and analysis |
Zhuohan | Xie | Profile | Hierarchically structured neural narrative generation |
Rui | Profile | TBC | |
Aotao (John) | Xu | Profile | A computational analysis of conceptual combination through time |
Jinrui | Yang | Profile | Fairness and Bias in Natural Language Processing |
Rongxin | Zhu | Profile | Automatic summarization for multi-party conversation |
Research & Publications
From medical technologies to machine translation to misinformation analysis, our group tackles a diverse range of natural language processing problems in different domains and applications, and is ranked one of the top groups internationally in the field.