Supervisors in Information Technology, Monash University

Carlo Kopp is a Computer Science Lecturer at the Monash University Faculty of Information Technology, Clayton .

His primary research activities at Monash are currently in the areas of modelling deceptions in social and biological systems, perceptual and decision modelling, especially using information theory, and cognitive cycle modelling. He remains active in the area of ad hoc networks and associated propagation problems, and in distributed computing.

Levin is an Associate Professor in data science, AI and digital health. He is a data scientist, computational neuroscientist and neural engineer. His research areas include signal processing, control theory, machine learning, statistics and computational neuroscience applications to digital health, neural engineering, neuroimaging and medicine.

I specialise in Integer Programming and have an interest in Machine Learning, Complexity and Approximation, Multi-Agent Path Finding, Energy, Transportation. My main passion is to design algorithms to improve the performance of Mixed-Integer Programming solvers for general MILP instances.

I joined Monash in 2016 as a Lecturer in the Optimisation team. Between 2012 and 2016 I was a postdoc in the school of Industrial and Systems Engineering in the Georgia Institute of Technology under Prof. Nemhauser. I obtained my PhD in 2012 from University Paris XI (Orsay).

Biography

Vincent CS Lee is currently an Associate Professor (equivalent to full professor of North American Academic Scale) with the Faculty of IT, Monash University and a Senior Member of IEEE. His research skills are on Adaptive Learning and Adaptive Inferencing.

Tongguang Li is a Research Fellow at Monash University, specializing in the use of learning analytics to enhance adaptive instructional design and support self-regulated learning processes. His research primarily explores the development and refinement of adaptive learning environments through innovative software solutions. Tongguang is dedicated to improving educational outcomes by integrating technology and pedagogy.

Yuan-Fang is a Senior Lecturer in the Department of Data Science & Artificial Intelligence (DS+AI), Faculty of Information Technology, Monash University. Yuan-Fang's research interests include knowledge graphs, natural language processing, knowledge representation & reasoning, representation learning (embedding) of networks/graphs. He has published more than 100 papers in leading conferences and journals.