Staff profile - Dinh Phung

Staff image

Dr Dinh Phung

Position: Associate Professor
role description
Faculty or Division: Faculty of Sci Eng & Built Env
Department: Patt Recogntn & Data Analytics
Campus: Geelong Waurn Ponds Campus
Hours: Room: KA5.234 (9am - 5pm)
Phone: +61 3 522 72082 +61 3 522 72082



Dinh Phung is an Associate Professor of Computer Science and Deputy Director of the Centre for Pattern Recognition and Data Analytics, Deakin University. He is a leading researcher at the forefront of theoretical and applied machine learning research with a view to make lasting contributions to real-world problems. His research has attracted regular National Competitive Grant from the ARC (Australian Research Council) in the past 10 years. Machine learning is the science behind big data, data mining, data science and artificial intelligence. Over the last decade machine learning has grown to become a fundamental technology driving the Web 2.0 innovations in many areas of life and society. Machine Learning enables self-driving cars, Siri personal assistant in the iPhone, Nexflix movie recommendation engine, to name a few. Within the last five years, he has been the Chief Investigator (CI) in two Linkage Grants, two LIEF grants, and two Discovery Grants. He is currently the Lead CI for two ARC DP Grants whose goal is to advance the frontier of theoretical and applied machine learning research.

His research work has attracted more than $4.5 million in research funding, 160+ publications, two patents and numerous research awards including the Best Paper Award from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2015), the Victorian Education Award (2013, group award for Research Engagement category), Curtin Innovation Award (2010), and the Runner Up Best Paper Award from the Conference on Uncertainty in Artificial Intelligence (UAI, 2009). He has delivered several invited and keynote talks, served on 5+ organizing committees and 35+ technical program committees for top-notch conferences in machine learning and data analytics, including the Program Chair for the Asian Conference on Machine Learning in 2014.

In parallel to advancing science, the economic, societal impacts and the difference his research has made are evidenced through close interdisciplinary research collaboration, extensive engagement with industry to apply his expertise to solve an array of real challenges in improving the quality of life and wellbeing, such that those at the crying needs of modern society including mental health, suicide prediction, early diagnosis of cerebral palsy, help the visually impaired to navigate, managing emergency in the hospital, help people to quit smoke, and early intervention in autism. The TOBY Playpad ( and iHosp ( are two examples of spun-off companies resulted from the research team that he was a part of.


Knowledge areas

artificial intelligence, machine learning, data science and analytics, graphical models, ubiquitous computing, health analytics, autism analytics, social media analysis, multimedia and computer vision.

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