Supervisors in Information Technology, Monash University

Guido Tack is an Associate Professor at the Department of Data Science and AI, Faculty of Information Technology, Monash University.

His research focuses on combinatorial optimisation, in particular architecture and implementation techniques for constraint solvers, translation of constraint modelling languages, and industrial applications. Guido leads the development of the MiniZinc constraint modelling language and toolchain. He is one of the main developers of Gecode, a state-of-the-art constraint programming library.

Dr Stella Talic is a Senior Lecturer/Senior Research Fellow (~Assistant Professor) at the School of Public Health and Preventive Medicine where she holds a number of combined education and research leadership roles.

Data is the new "Oil". The world most valuable resource is no longer oil, but data (The Economist May 2017). Any companies have data; large volume and often scattered data. Data is an important asset. So, research on data management will give you a lot of opportunities. Research on data management covers a wide range of aspects, from design, query algorithms, data structures, to data integration, data cleansing, and fusion. This includes the use of  big data technologies, such as cloud platform (e.g. clusters, fog/edge computing), and big data framework and tools (e.g.

I’m Kla (published papers as Chakkrit Tantithamthavorn) (IEEE Senior Member, ex-ARC DECRA Fellow, ex-JSPS Fellow), an Associate Professor in Software Engineering at the Faculty of Information Technology, Monash University, Australia and a Principal Machine Learning Scientist at Atlassian.

Dr. Wei Lin Teoh is an Associate Professor at the School of Information Technology, Monash University Malaysia. She earned her PhD in Applied Statistics in 2013 from Universiti Sains Malaysia.

Yongqiang Tian is currently a Lecturer (a.k.a. Assistant Professor in North American systems) at the Department of Software Systems and Cybersecurity, the Faculty of Information Technology, Monash University. Before that, he was a Research Assistant Professor at the Hong Kong University of Science and Technology. He holds a dual Ph.D. in Computer Science from University of Waterloo and the Hong Kong University of Science and Technology. His research focuses on software testing and debugging, with specific emphasis on deep learning systems and compilers.

Dr. Sicily Fung Fung Ting is a leading AI researcher and Senior Lecturer at Monash University Malaysia, where she leads the Precision Medicine and Predictive Modeling stream at the Medical AI Hub (MedAI-Hub). Her interdisciplinary research integrates explainable deep learning with neuroimaging and genomics to build diagnostic AI systems for brain aneurysms, stroke, and early-onset breast cancer in Asian women. She leads a multi-institutional effort leveraging AI to uncover population-specific cancer biomarkers and recurrence risks.

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.