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. |