Haytham Fayek is pursuing a passion for artificial Intelligence through his PhD which is focussed on deep learning and neural networks.
PhD (Electrical and Electronic Engineering)
Vice-Chancellor’s PhD Scholarship (VCPS)
Artificial Intelligence; Machine Learning; Deep Learning
I was fortunate to receive the prestigious Vice-Chancellor’s PhD Scholarship (VCPS) that allowed me to complete my research at RMIT with the freedom to pursue my own research interests.
Deep learning is a branch of computing that aims to enable machines to learn from experience in a way that mimics human learning, without them being explicitly programmed.
My research is focused on deep learning and neural networks and their applications in speech recognition. I devise deep learning architectures for complex tasks such as linguistic and paralinguistic speech recognition systems and their intersection.
I have been fascinated by Artificial Intelligence (AI) since I got my first computer and attempted to build my own shortly afterwards. This fascination led me to undertake a degree in engineering. The notion of building machines that learn and think is not only my research interest, but also a personal goal.
I was fortunate to receive the prestigious Vice-Chancellor’s PhD Scholarship (VCPS) that allowed me to complete my research at RMIT with the freedom to follow my own research interests.
Deep learning research requires massive computational resources. My project is enabled by equipment provided from an NVIDIA Academic Hardware Grant and through access to the National Computing Infrastructure (NCI) High Performance Computing (HPC) facility made possible through RMIT’s partnership with the NCI.
I have attended and presented my research at various national and international conferences including some of the field’s leading conferences, such as Interspeech in San Francisco, United States and the World Congress on Computational Intelligence in Vancouver, Canada.
Deep learning is currently key to many products used by millions of people around the world, such as computer vision in face and image recognition and speech recognition in personal assistants. I think that research, supported through bigger data and faster computers, will continue to improve such applications and lead to future breakthroughs in other scientific fields from computing to medicine.