Supervisors in Information Technology, Monash University

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. Ting Fung Fung is a lecturer at School of Information Technology (SoIT), Monash University . She was awarded the Doctor of Philosophy (Ph.D.) Engineering in year 2020. Her recent research work had received the 2020 WSIS (World Summit of the Information Society) Prize in Switzerland as a champion project. Her dissertation for the Master in Engineering Science degree titled “Visualisation for Brain Early Infarct Detection” was awarded the Best Thesis Award for Master degree study in 2017. She has published her work in many journals and conference proceedings.

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.

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.