Awards
2019
Defence Science Institute Research Higher Degree Student Grant
Alex CummandoProvenance in Large-Scale Artificial Intelligence Solutions.
People’s Choice Award for Outstanding Talk at Joint GIW/ABACBS 2019
Thom QuinnDeepTRIAGE: Interpretable and Individualised Biomarker Scores using Attention Mechanism for the Classification of Breast Cancer Sub-types
2018
PAKDD’18: Best Paper Award, Pacific Asia Knowledge Discovery and Data Mining, Melbourne, Australia
Thanh Dai Nguyen, Sunil Gupta, Santu Rana, Svetha VenkateshA Privacy Preserving Bayesian Optimization with High Efficiency.
Best Performer Awards, DREAM Single Cell Transcriptomics Challenge 2018
Team Thin Nguyen & Team WhatATeamAwarded by IBM Research & Sage Bionetworks.
Victorian Honour Roll of Women
Professor Svetha VenkateshIn 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 MouzakisTowards 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 VenkateshSqn2Vec: Learning Sequence Representation via Sequential Patterns with a Gap Constraint
2017
ARC Australian Laureate Fellowship - Pattern analysis for accelerating scientific innovation
Prof Svetha VenkateshVice-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 teamThis 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 VenkateshStable 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. VenkateshBayesian Optimization of Superalloy Designs
Data Mining Contest Award at Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) 2017
Thanh Dai Nguyen, Trang PhamHonorable 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 PhungAnimal recognition and identification with deep convolutional neural networks for automated wildlife monitoring
2016
ACML’16: Best Paper RunnerUp
Vu Nguyen, Sunil Gupta, Santu Rana, Cheng Li, Svetha VenkateshA Bayesian Nonparametric Approach for Multi-label Classification
Best Poster, Asian Conference on Machine Learning (ACML) 2016
Vu NguyenA 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 VenkateshOutlier 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 PhungEffect of Social Capital on Emotion, Language Style and Latent Topics in Online Depression Community
2015
STEM Hero
PAKDD’15: Best Paper Award
Sunil Gupta, Santu Rana, Dinh Phung, Svetha VenkateshIn 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
2014
Best Paper Award, CRESP Early Career Researcher
2013
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
2012