Supervisors in Information Technology, Monash University

Phoebe Toups Dugas (she/her) is an Associate Professor of Human-Centred Computing in the Exertion Games Lab at Monash University and a Science & Technology Australia Superstar of STEM. Phoebe’s research centres designing for transgender gender euphoria in games and interactive systems. She continues to address the role of information technology in disaster response and has an ongoing interest in maps and cartography.

I am a lecturer in the Faculty of Information Technology and a member of the Centre for Learning Analytics at Monash (CoLAM). My research aims to enhance learning, teaching, and educational environments with the adoption of digital and data technologies. In particular, I investigate social-technical issues and pedagogical implications around the use of data in education from multi-stakeholder perspectives.

Delvin Varghese is a Lecturer within Action Lab in the Faculty of Information Technology at Monash University. His research focuses on the design of technologies for nonprofits and community organizations to support community voice and inclusion.

Trang Vu is a Lecturer in Department of Data Science and Artificial Intelligence, Faculty of Information Technology, Monash University. Her research interests lie at the intersection of natural language processing and machine learning. Her current research focuses on efficient and trustworthy methods to make NLP technologies safe and accessible.

Hao Wang is a Senior Lecturer with the Department of Data Science and Artificial Intelligence, Faculty of IT, Monash University. He was a Postdoctoral Research Fellow at Stanford University, Stanford, CA, USA, and a Washington Research Foundation (WRF) Innovation Fellow at the University of Washington, Seattle, WA, USA.

Dr. Teresa Weiqing Wang is currently a senior lecturer in data science with Faculty of Information Technology, Monash University. 

Dr. Teresa Weiqing Wang's current main research interests include entity/user modelling, relational/structural and spatial/temporal machine learning, graph/network construction and analysis, and recommender systems. She is especially interested in social data, eCommerce data, and health/medical data modelling. 

My current key areas of research focus on machine learning in the context of change. The world is dynamic and in a constant state of flux, yet most machine learning models learn static models from a dataset that represents a single snapshot in time. My group's research is revolutionising the field of temporal analytics. We have refocused the field on methods that are both effective and feasible for non-trivial problems.

Professor Monica Whitty is the Head of Department of Software Systems and Cybersecurity and is Professor of Human Factors in Cyber Security. She has been a member of the World Economic Forum Cyber Security Centre and was a member of the WEF Cyber Security Global Futures Committee. She values a diverse and inclusive environment.

Derry conducts research in natural language processing (NLP) and Artificial Intelligence (AI), with a focus on machine learning, deep learning, and large language models (LLMs) applications in multilingual NLP. Her studies include machine translation (MT), which demonstrates how to leverage well-annotated languages to improve the translation of less-annotated ones and how images, related tasks, data augmentation, and LLMs can be used to improve the representation and translation of languages with little training data.