Graduate researchers

NLP Graduate Researchers

NameStart Thesis Title
Uri Berger 2021 Interactive multimodal language acquisition
Daniel Cabrera Lozoya   Augmenting clinical mental health practice with machine learning models and digital phenotyping insights
Sayantan Dasgupta 2022 Energy-Aware Machine Learning
Yilin Geng 2022 Cross-lingual Representations in Interpretable Language Models
Sukai Huang 2021 Texted based reinforcement learning agent
Fan Jiang 2022 Retriever-augmented Approaches for Natural Language Processing
Haonan Li   Geospatial Information with Natural Language Processing
Miao Li 2020 Neural Multi-document Modeling and Abstractive Summarization
Zheng Wei Lim 2021 Cross-lingual Psycholinguistics with NLP methods
Yiyuan Pu   Literature-based discovery for Alzheimer's disease
Viktoria Schram 2021 Calibration of Performance Prediction in Low-Resource Settings
Hung Thinh Truong   Evidence extraction from the clinical trials literature
Gisela Vallejo 2021 A Fair Plan Towards Mitigating Bias and Misinformation
Dalin Wang   Image captioning with conditional-GAN
Jun Wang   Adversarial machine learning for machine translation
Rui Xing 2022 Towards Explainable Fact Checking
Aotao (John) Xu 2021 A computational analysis of conceptual combination through time
Jinrui Yang 2021 Fairness and Bias in Natural Language Processing
Rongxin Zhu 2020 Automatic summarization for multi-party conversation
Ming-bin (Bryan) Chen 2023 Interactive agents for combating misinformation
Aso Mahmudi 2023 Developing Advanced Processing Tools for Under-Resourced Languages Focusing on Morphological Features
Matteo Guida 2024 Towards Multilingual Models of Framing Detection in News Coverage of Contemporary Polarizing Issues
Yanbei Jiang 2024 Abstract Visual Reasoning with Text Explanation
Damian Curran 2024 Towards a unified narrative representation for computational understanding of narrative text
Rafael Merx 2024 Enhancing Machine Translation for Medical Education: A Study on Nursing Students in Timor-Leste
Demian Aaron Inostroza Améstica 2024 Explaining cross-lingual variation in grammatical case systems through Information-theoretic approaches
Anudeex Shetty 2025  
Shuhe Wang 2025 Prompts Evaluation and Refinement
Shengxiang Gao 2025 Enhancing large language models and knowledge bases through mutual integration
Thye Shan Ng 2025 Modular multimodal architectures for plug-and-play applications
Shuo Yang 2025 Multimodal commonsense knowledge distillation for visual question answering

Affiliated Graduate Researchers

NameSchool
Rena Gao School of Languages and Linguistics
Sheilla Njoto Centre for AI and Digital Ethics
Katie Warburton Science/Psychology
Martin Saint-Jalmes Florey Institute
Hui Chia Melbourne Law School
Rahmad Mahendra RMIT
Patrick Bowers Audio and Speech Pathology
Naomi Baes Melbourne School of Psychological Sciences
Temuulen Khishigsuren Melbourne School of Psychological Sciences
Noor de Bruijn Melbourne Business School
Leilani Frost Mechanism of Mental Health Lab, MDHS; and Melbourne Data Analytics Platform