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Haibo_226

Owheo Building, Room 2.47
Tel +64 3 479 8534
Email haibo.zhang@otago.ac.nz

I received my PhD in Computer Science from the University of Adelaide in Australia, and completed my postdoc at KTH Royal Institute of Technology in Sweden.

My research interests include in wireless networks, high-performance computing, machine learning acceleration, and Internet-of-Things.

I have published over 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 INFOCOM, IPDPS, ICPP, ICAPS, and PAKDD.

I have been actively engaged in the research community, serving as a program chair or co-chair for 16 international conferences and a program committee member for over 100 international conferences. Currently, I am an Associate Editor for the Elsevier Journal of Internet of Things and the International Journal of Parallel, Emergent and Distributed Systems.

For more information, please see my research pages

Publications

Permatasari, E., Saifullah, A., & Zhang, H. (2025). Jamming-resilient channel hopping for WirelessHART networks. In A. Korman, S. Chakraborty, S. Peri, C. Boldrini & P. Robinson (Eds.), Proceedings of the 26th International Conference on Distributed Computing and Networking (ICDCN). (pp. 56-65). New York, NY: ACM. doi: 10.1145/3700838.3700852 Conference Contribution - Published proceedings: Full paper

Zhang, H., Zhang, H., Huang, Z., & Chen, Y. (2025). ChipAI: A scalable chiplet-based accelerator for efficient DNN inference using silicon photonics. Journal of Systems Architecture, 158, 103308. doi: 10.1016/j.sysarc.2024.103308 Journal - Research Article

Hu, B., Zhang, W., Al-Rubaye, S., Zhang, H., Wang, X., & Huang, S. (2024). Digital twin-empowered offloading optimisation and resource allocation for UAV-assisted IoT network systems. Proceedings of the IEEE 100th Vehicular Technology Conference (VTC2024-Fall). Red Hook, NY: IEEE. doi: 10.1109/VTC2024-Fall63153.2024.10757686 Conference Contribution - Published proceedings: Full paper

Pang, Y., Peng, L., Zhang, H., Chen, Z., & Yang, B. (2024). Imbalanced ensemble learning leveraging a novel data-level diversity metric. Pattern Recognition, 110886. Advance online publication. doi: 10.1016/j.patcog.2024.110886 Journal - Research Article

Dai, F., Chen, Y., Huang, Z., Zhang, H., & Tian, H. (2024). Performance comparison of distributed DNN training on optical versus electrical interconnect systems. In Z. Tari, K. Li & H. Wu (Eds.), Algorithms and architectures for parallel processing: Proceedings of the 23rd International Conference, ICA3PP 2023 (Part 1): Lecture notes in computer science (Vol. 14487). (pp. 401-418). Singapore: Springer. doi: 10.1007/978-981-97-0834-5_23 Conference Contribution - Published proceedings: Full paper

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