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.
Research Themes
-
Artificial Intelligence Assurance Lab
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 Lab
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.
-
Natural Language Processing
Natural Language Processing (NLP) is a field of artificial intelligence that focuses on enabling computers to understand, interpret, and generate human language. We develop algorithms and computational models to analyze and process large volumes of natural language data in order to extract meaning and insights from text, speech, and other forms of human communication.
-
Digital Health
Digital health refers to the use of data and technology, such as mobile apps, wearables, and other digital tools, to improve healthcare delivery, patient outcomes, and overall health and wellness. We work in several areas of digital health and integrate data, analytics, and communication technologies to help healthcare providers and patients manage and prevent diseases, track health metrics, and improve healthcare access and efficiency.
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 |
| 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 |
| Ming-Bin | Chen | Profile | Interactive agents for combating misinformation |
| Sayantan | Dasgupta | Profile | Energy-Aware Machine Learning |
| Roben | Delos Reyes | Profile | Modelling the impact of pandemics on health care services |
| Aparna | Elangovan | Profile | Curate biological gene regulation pathways through text mining |
| Yilin | Geng | Profile | Character-centric Story Understanding and Generation |
| 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 |
| Nimeshika Udayangani | Hewa Dehigahawattage | Profile | A Pixel-level Unsupervised Approach to Image Anomaly Detection |
| 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 |
| 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 |
| Dimuthu Lakmal | Kariyawasan Jalath Thanthrige | Profile | A Multi-Modal Approach For Fake News Detection On Social Media |
| Shima | Khanehzar | Profile | Data driven models for fine-grained framing analysis in political debates and the media |
| 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 |
| Mojgan | Kouhounestani | Profile | Modification of the temporal data embedded in electronic medical records dataset targeting cancer prediction using machine learning methods |
| Kemal | Kurniawan | Profile | Transfer Learning for Structured Prediction |
| 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 |
| Ran | Liang | Profile | Spatio-temporal Traffic Prediction Using Deep Learning Models |
| 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 |
| Xueqi | Ma | Profile | Adversarial Learning based on Manifold Learning and Graph-based learning |
| 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 |
| Bruna | Moreira da Silva | Profile | Deconvoluting epilepsy patient data using machine learning |
| Yulia | Otmakhova | Profile | Multi-document summarization supporting clinical evidence review |
| 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 |
| Marzieh | Parvaneh Akhteh Khaneh | Profile | Designing online learning environment based on peer feedback |
| Yiyuan (Gracie) | Pu | Profile | Literature-based discovery for Alzheimer's disease |
| Viktoria | Schram | Profile | Performance Prediction for Low Resource Scenarios |
| 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 |
| Ruohong | Shen | Profile | Automatic image processing and understanding based on deep learning |
| Xinling | Shen | Profile | Dynamic Indoor Evacuation Planning in an Emergency |
| Anubhav | Singh | Profile | AI planning in embedded autonomous systems |
| Yige | Song | Profile | Student profile modelling using XAI algorithms |
| Steven | Spratley | Profile | Abstraction and Generalisation in Vision Systems |
| Xinyu | Su | Profile | Traffic prediction using graph neural networks |
| Fengze | Sun | Profile | Effective and Efficient Algorithms for Region Similarity Queries |
| Sing Chee | Tan | Profile | Improving Rapid Response Systems through Predictive Analytics |
| Nefel | Tellioglu | Profile | Modeling the evolutionary and epidemiology dynamics of group A streptococcus |
| Gisela | Vallejo | Profile | A Fair Plan Towards Mitigating Bias and Misinformation |
| Sameera | Vithanage | Profile | Towards Understanding User Perceptions of Fake News on Social Media |
| Hung Thinh | Truong | Profile | Evidence extraction from the clinical trials literature |
| Archana | Vadakattu | Profile | Dynamic learning in cognitive agent architectures |
| 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 |
| Tingxuan | Wang | Profile | Modelling 3D Shape of Sands from X-ray Computed Tomography Images |
| 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 |
| Zhuohan | Xie | Profile | Hierarchically structured neural narrative generation |
| Rui | Profile | Towards Explainable Fact Checking | |
| 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 |
| 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 |
| Zhenkai | Zhang | Profile | To solve the current problems of NeRF and to explore the application of NeRF in robotic vision or automatic drive |
| 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 |