Defence Science Institute Research Higher Degree Student Grant

Alex Cummando

Provenance in Large-Scale Artificial Intelligence Solutions.

People’s Choice Award for Outstanding Talk at Joint GIW/ABACBS 2019

Thom Quinn

DeepTRIAGE: Interpretable and Individualised Biomarker Scores using Attention Mechanism for the Classification of Breast Cancer Sub-types


PAKDD’18: Best Paper Award, Pacific Asia Knowledge Discovery and Data Mining, Melbourne, Australia

Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh

A Privacy Preserving Bayesian Optimization with High Efficiency.

Best Performer Awards, DREAM Single Cell Transcriptomics Challenge 2018

Team Thin Nguyen & Team WhatATeam

Awarded by IBM Research & Sage Bionetworks.

Victorian Honour Roll of Women

Professor Svetha Venkatesh

In recognition for being a trailblazing leader and mentor, encouraging innovation and entrepreneurialism to devise elegant, commercially-viable solutions to complex problems.

Best Paper Award - Defence Operations Research Symposium (DORS) 18

Dion Grieger, Martin Wong, Marco Tamassia, Luis Torres, Antonio Giardina, Rajesh Vasa, Kon Mouzakis

Towards the identification and visualisation of causal events to support the analysis of closed loop combat simulation.

Best Student Paper Runner-up award, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD) 2018

Dang Nguyen, Wei Luo, Tu Dinh Nguyen, Dinh Phung, Svetha Venkatesh

Sqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint


ARC Australian Laureate Fellowship - Pattern analysis for accelerating scientific innovation

Prof Svetha Venkatesh

Vice-Chancellor’s Award for Outstanding Contribution through Innovation that spans the Value Promise

PRaDA Team (Sunil Gupta, Santu Rana, Cheng Li, Vu Nguyen, and Alistair Shilton) and IFM team

This award recognises their outstanding contribution to the success of Accelerating Design and Processing of Materials which furthers the vision of the University’s Strategic Plan, LIVE the future: Agenda 2020.

PAKDD’17: Best Student Paper Award

Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha Venkatesh

Stable Bayesian Optimization

PAKDD’17: Best Application paper

Hung Vu, Tu Dinh Nguyen, Anthony Travers, Svetha Venkatesh, Dinh Phung.

Energy-Based Localized Anomaly Detection in Video Surveillance

Best Professional Poster - 4th World Congress on Integrated Computational Materials Engineering (ICME 2017)

J. Licavoli, P. Sanders, S. Rana, S. Gupta, V. Nguyen, S. Venkatesh

Bayesian Optimization of Superalloy Designs

Data Mining Contest Award at Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2017

Thanh Dai Nguyen, Trang Pham

Honorable Mention Application Paper, IEEE International Conference on Data Science and Advanced Analytics (DSAA) 2017

Hung Nguyen, Sarah J. Maclagan, Tu Dinh Nguyen, Thin Nguyen, Paul Flemons, Kylie Andrews, Euan G. Ritchie, Dinh Phung

Animal recognition and identification with deep convolutional neural networks for automated wildlife monitoring


ACML’16: Best Paper RunnerUp

Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha Venkatesh

A Bayesian Nonparametric Approach for Multi-label Classification

Best Poster, Asian Conference on Machine Learning (ACML) 2016

Vu Nguyen

A Bayesian Nonparametric Approach for Multi-label Classification

Best Student Runner-up Paper, International Conference on Advanced Data Mining and Applications (ADMA) 2016

Kien Do, Truyen Tran, Dinh Phung and Svetha Venkatesh

Outlier Detection on Mixed-Type Data: An Energy-Based Approach (Spotlight)

Best Runner-up Student Paper, International Conference on Computing and Communication Technologies 2016

Bo Dao, Thin Nguyen, Svetha Venkatesh and Dinh Phung

Effect of Social Capital on Emotion, Language Style and Latent Topics in Online Depression Community



PAKDD’15: Best Paper Award

Sunil Gupta, Santu Rana, Dinh Phung, Svetha Venkatesh

In Recognition of the outstanding technical paper: “Collaborating Differently on Different Topics: A Multi-relational Approach to Multi-task Learning”

PAKDD’15: Best Student Paper Runner up Award


Best Paper Award, CRESP Early Career Researcher


Excellence in International Education, Research Engagement, Victorian International Education Awards

Smart Technology Award, Geelong Chamber of Commerce - for Toby Playpad and identifying suicidal patients via machine learning


Smart Technology Award, Geelong Chamber of Commerce - for Toby Playpad and identifying suicidal patients via machine learning