Haibo Zhang
Scholar

Haibo Zhang

Google Scholar ID: ehJjIDgAAAAJ
School of Computing, University of Otago, New Zealand
photonic computingembedded systemscomputer networksapplied machine-learning
Citations & Impact
All-time
Citations
1,306
 
H-index
16
 
i10-index
36
 
Publications
20
 
Co-authors
38
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Multiple papers accepted by top international conferences such as ICCAD 2025, ICS 2025, ICDCS 2025, INFOCOM 2025, SIGCOMM 2024, Pattern Recognition, RTSS 2024, IROS 2024, IEEE TKDE, IEEE TIM, IEEE T-ITS, ACM TECS, IEEE TCAD, ICPP, PAKDD'22, LCN'20, ICAPS'20, etc.; supervised several students to complete their PhD dissertations.
Research Experience
  • Serves as an Associate Professor at UNSW Sydney and an Honorary Associate Professor at ANU. Main research areas include embedded systems, distributed computing, and wireless networking.
Background
  • Currently an Associate Professor in the School of Computer Science and Engineering at UNSW Sydney and an Honorary Associate Professor in the School of Computing at the Australian National University (ANU). Broadly interested in embedded systems, distributed computing, wireless networking, and applied machine learning. Current research focuses on FPGA-based hardware acceleration (reconfigurable architectures for deep learning, heterogeneous FPGA + CPU/GPU co-design), photonic deep learning acceleration (photonic computing, photonic-interconnect of GPUs, optical-network-on-chips), machine learning and applications (federated learning, explainable learning, AI-enabled smart health), and wireless networking (Low-power long-range wireless networks, Internet-of-Things, 5G networks). Looking for self-motivated PhD students to work on photonic computing and communication, machine learning acceleration, distributed learning, and wireless networking.
Miscellany
  • Developed a photonic computing testbed and invites interested individuals to watch the demo video.