Jun 2022: Paper: A Case for Personalised Non-Player Character Companion Design, is out.
Apr 2022: Paper: Deep Learning Approaches for Air-writing Using Single UWB Radar, accepted in IEEE Sensors. Congrats Nermine!
Apr 2022: Talk: Beyond Supervised Deep Learning, Centre for Industrial AI Research & Innovation (CIARI), RMIT.
Mar 2022: Paper: PRE-NAS: Predictor-assisted Evolutionary Neural Architecture Search, accepted at GECCO’22. Congrats Yameng!
Mar 2022: Teaching COSC2959/COSC2960 Foundations of Artificial Intelligence, Mar’22.
Jan 2022: Paper: Advanced Multi-Input System Identification for Next Generation Aircraft Loads Monitoring using Linear Regression, Neural Networks and Deep Learning, accepted in MSSP.
Nov 2021: At CIKM’21, virtual, chairing Session 2C: Machine Learning.
Oct 2021: Paper: Knowledge capture and replay for continual learning, accepted at WACV’22.
Sep 2021: Paper: Recent developments in the implementation of a bidirectional LSTM deep neural network for aircraft operational loads monitoring, accepted at SciTech’22.
Sep 2021: Paper: Data-driven flight load prediction using modal decomposition techniques, accepted at SciTech’22.
Aug 2021: Call for Papers for Neural Networks Special Issue on Lifelong Learning due 28 Feb 2022.
Jul 2021: Patent: Systems and methods for hearing assessment and audio adjustment published.
Jul 2021: Teaching COSC2959/COSC2960 Foundations of Artificial Intelligence, Jul’21.
Jul 2021: Our Special Issue on Lifelong Learning was accepted in Neural Networks.
May 2021: Paper: Deep learning airframe load prediction: A data-driven system for aircraft structural health management, accepted at AIAC’21.
May 2021: Paper: Buffet load prediction via frequency response functions, accepted at AIAC’21.
Mar 2021: Teaching COSC2676/COSC2752 Programming Fundamentals for Scientists, Mar’21.
Jan 2021: At IJCAI’20, virtual, to present Large scale audiovisual learning of sounds with weakly labeled data.
Dec 2020: Paper: Knowledge capture and replay for continual learning, on arXiv.
Dec 2020: At NeurIPS’20, virtual.
Aug 2020: Paper: Temporal reasoning via audio question answering, published in IEEE/ACM TASLP.
Jul 2020: At ICML’20, virtual.
Jul 2020: Program for our Workshop on Continual Learning on 17 Jul at ICML’20.
Jul 2020: Teaching COSC2676/COSC2752 Programming Fundamentals for Scientists, Jul’20.
May 2020: Paper: Progressive learning: A deep learning framework for continual learning, published in Neural Networks.
Apr 2020: Paper: Large scale audiovisual learning of sounds with weakly labeled data, accepted at IJCAI’20.
Apr 2020: Call for Papers for our Workshop on Continual Learning at ICML’20.
Mar 2020: Our Workshop on Continual Learning was accepted at ICML’20.
Mar 2020: Teaching COSC2676/COSC2752 Programming Fundamentals for Scientists, Mar’20.
Feb 2020: Joined the faculty of Computer Science and Software Engineering, RMIT University.
Dec 2019: At NeurIPS’19, Vancouver.
Nov 2019: Paper: Temporal reasoning via audio question answering, on arXiv.
Oct 2019: Paper: Sound event classification and detection with weakly labeled data, at DCASE’19.
Jul 2019: At ICML’19, Long Beach.
Feb 2019: PhD Thesis: Continual deep learning via progressive learning!
Dec 2018: At NeurIPS’18, Montréal, to present On the transferability of representations in neural networks between datasets and tasks at the Continual Learning Workshop.
Aug 2018: Postdoctoral Research Scientist, Facebook Research, Seattle.
Jun 2018: Panel discussion at ACMI X, Melbourne, on Talking Computers: How Voice Technology is Changing the Human Machine Interaction.
Feb 2018: Teaching Assistant at RMIT for postgraduate COSC1295 Advanced Programming and undergraduate EEET2169 Image Processing.
Dec 2017: At NIPS’17, Long Beach.
Nov 2017: Paper: MatDL: A lightweight deep learning library in MATLAB, in JOSS.
Nov 2017: At World Youth Forum (WYF’17), Sharm El Sheikh.
Oct 2017: At AES’17, New York, to present On data-driven approaches to head-related transfer function personalization.
Sep 2017: Talk at Swinburne University, Melbourne, on Will Deep Learning Lead to AI?
Aug 2017: Talk at the ML / AI Melbourne Meetup, on Will Deep Learning Lead to AI?
Aug 2017: At ICML’17, Sydney and IJCAI’17, Melbourne.