Haytham

Artificial Intelligence and Machine Learning Scientist.
Computer Science and Software Engineering, RMIT University.
Alumnus: Facebook Research, Oculus Research, & WorleyParsons.
Google Scholar | Twitter | LinkedIn | Github




I am currently looking for strong students interested in artificial intelligence and machine learning, especially deep learning, so please get in touch if you would like to work with me.




Updates

Jul 2020: At ICML’20, Virtual.
Jul 2020: Program for our Workshop on Continual Learning on 17 Jul at ICML’20.
Jul 2020: Teaching 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 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.
Previous: All updates.