Haibo Zhang received his PhD in Computer Science from the University of Adelaide, Australia. His main research lies in high-performance computing, machine learning acceleration, wireless networks, and applied machine learning. He has published 100+ peer-reviewed papers, many of which were published in top-tier referred international journals such as IEEE and ACM Transactions including IEEE TMC, IEEE TPDS, IEEE TCAD, IEEE TKDE, IEEE TWC, and ACM TECS and proceedings of prestigious conferences including SIGCOMM, INFOCOM, ICAPS, IPDPS, ICPP, and PAKDD. He received the Best Paper Award at IEEE EmbeddedCom and IEEE PDCAT. His research has been sponsored by the Royal Society of New Zealand Marsden Fund and the Internet New Zealand Community Fund.

PhD

Scholarships of ~$40,000 AUD per annum are available for PhD candidates in the areas of AI acceleration and photonic computing. Please contact me with your CV, academic transcripts, and a summary of your academic achievements.

I am broadly interested in parallel computing, distributed computing, photonic computing and communication, machine learning acceleration, wireless networks, and applied machine learning. My current research mainly focuses on 

• Photonic computing and communication (photonic deep learning acceleration, optical network-on-chips, routing and wavelength assignment)

• Machine learning acceleration (model-parallel, data-parallel, photonic-based)

• Scheduling and optimisation (task scheduling, wireless link scheduling)

• Machine learning and its applications (federated learning, explainable AI)

• Wireless networks (sensor networks, UAV networks, 5G networks)