Supervisors in Information Technology, Monash University

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.

Jon leads the OVIS (Operationalizing Values in Software) research group in FIT. The group is investigating values-based software development – that is, in a world in which AI and ML systems increasingly make decisions previously made by humans, how can we ensure that the values of an individual, an organization or a society are embedded in the software we build? The group studies software development organizations to better understand how companies currently embed human or corporate values in software.

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.

Interdisciplinary application of computing
 

Dr Wilson's recent PhD projects include prioritised file search and classification of dark web content and behavior with the Australian Federal Police, and phosphorylation site and protein family prediction using deep convolutional networks with Monash Medicine. In the past Dr Wilson has also worked on image retrieval systems, social media data mining, modelling of quality of service in mobile ad-hoc networks and rotational machine health monitoring.

TT graduated from the Chinese University of Hong Kong in 1992 with a B.Sc. degree in Computer Science. He obtained his M.Phil. and Ph.D. degrees in Computer Science from the same university in 1994 and 1998 respectively. From August 1998 to August 1999, he was a visiting assistant professor in the Computer Science Department of Hong Kong University of Science & Technology. From August 1999 to June 2024, he was a professor in the Computer Science & Engineering Department of the Chinese University of Hong Kong.

KokSheik is an Associate Professor in the School of Information Technology Malaysia, Monash University Malaysia. He has published more than 50 journal articles and 90 conference papers. He was the recipient of the COMSTECH-TWAS Joint Research Grants funded by the Organisation of Islamic Cooperation. He was also an international partner to the H2020 grant IDENTITY (project 690907).