Supervisors in Information Technology, Monash University
Displaying 121 - 135 of 207 supervisors.

Dr Juan Nunez-Iglesias
- PhD in Computational Biology at the University of Southern California (2003-2009), working on gene expression analysis.
- Postdoc at Janelia Research Campus working on image segmentation for micro-connectomics electron microscopy data (2009-2012).
- Research Scientist at Victorian Life Sciences Computation Initiative (VLSCI) / Melbourne Bioinformatics (2012-2018). During this time I became actively involved in the Scientific Python open source community, contributing to scikit-image and various other packages.

Dr Humphrey Obie
Dr Humphrey Obie is a Research Fellow in the Faculty of Information Technology, Monash University, where he collaborates closely with the HumaniSE Lab and OVIS lab. Humphrey has tackled problems in several domains as a data scientist, software developer, and researcher. His key interests include human-centric software engineering, human-centric IoT and smart cities, value-based software engineering, information visualisation and visual data storytelling.

Prof Patrick Olivier
If you are a designer, computer scientist, engineer, or social scientist that is looking to research real-world challenges, and you are interested in human-centred design methods or human-centred design methods, then you might be interested in working with me and the cross-disciplinary team at Action Lab to address Digital Civics challenges. Digital Civics is a new cross-disciplinary area of research that explores ways technology can promote new forms of participation in the design and delivery of public, commercial and humanitarian services, from education and public health to social care

Prof Raphaël C.-W. Phan

Professor Dinh Phung
Dinh Phung is a Professor of Machine Learning and Data Science in the Faculty of Information Technology, Monash University, Australia. He is a leading researcher at the forefront of theoretical and applied machine learning with a current focus on generative deep learning, Bayesian nonparametrics and graphical models, optimal transport and point process theory for machine learning.

Dr Charlotte Pierce
Charlotte’s work focuses on designing and delivering world-leading, research-grounded and industry-informed educational materials, developing impactful teaching methods, and using technology to improve the quality of education. She influences and supports others to do the same through research publications and open-access materials.