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Associate Professor Haibo Zhang

Haibo_226

Owheo Building, Room 2.47
Phone: +64 3 479 8534
Email: haibo@cs.otago.ac.nz

My research interests include wireless sensor/ad-hoc/mesh networks, cyber-physical systems, green computing, distributed algorithms and protocols. My current research focuses on routing protocols and scheduling polices for reliable real-time industrial communication, high-accurate train localization using wireless sensor networks, and channel-aware data communication in body sensor networks.

I received BSc and MEng degrees from Shandong Normal University in China in 2002 and 2005, respectively. I obtained my PhD degree in computer science from The University of Adelaide in Australia in 2008. From September 2008 to October 2010, I worked as post-doc research associate in the Automatic Control group at Royal Institute of Technology (KTH) in Sweden.

Openings for PhD students: I am looking for self-motivated PhD students to work in the area of networking and wireless communication. Please read the details here, and then email me if you are interested in doing your PhD under my supervision.

For more information about my research, please see my research pages.

Selected Publications

  • Haibo Zhang, Pablo Soldati, and Mikael Johansson, Performance Bounds and Latency-optimal Scheduling for Convergecast in WirelessHART Networks, to appear in IEEE Transactions on Wireless Communications (TWC), 2013.
  • Zhenhua Zou, Pablo Soldati, Haibo Zhang, and Mikael Johansson, Energy-Efficient Deadline-Constrained Maximum Reliability Forwarding in Lossy Networks, IEEE Transactions on Wireless Communications (TWC), 11(10): 3474 - 3483, 2012.
  • Haibo Zhang and Hong Shen, Energy-Efficient Beaconless Geographic Routing in Wireless Sensor Networks, IEEE Transactions on Parallel and Distributed Systems (TPDS), 21(6): 881-896, 2010.
  • Haibo Zhang and Hong Shen, Balancing Energy Consumption to Maximize Network Lifetime in Data- Gathering Sensor Networks, IEEE Transactions on Parallel and Distributed Systems (TPDS), 20 (10): 1526-1539, 2009.

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Publications

Yang, W., Chen, Y., Huang, Z., Zhang, H., & Gu, H. (2023). Routing and wavelength assignment for multiple multicasts in Optical Network-on-Chip (ONoC). IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems. Advance online publication. doi: 10.1109/TCAD.2023.3274951

Dai, F., Chen, Y., Huang, Z., Zhang, H., & Zhang, F. (2023). Efficient all-reduce for distributed DNN training in optical interconnect systems [Poster]. PPoPP '23: Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and Practice of Parallel Programming. (pp. 422-444). New York, NY: ACM. doi: 10.1145/3572848.3577391

Cheng, L., Luo, S., Yu, X., Ghayvat, H., Zhang, H., & Zhang, Y. (2023). EEG-CLNet: Collaborative learning for simultaneous measurement of sleep stages and OSA events based on single EEG signal. IEEE Transactions on Instrumentation & Measurement. Advance online publication. doi: 10.1109/TIM.2023.3235436

Dai, F., Chen, Y., Huang, Z., Zhang, H., Zhang, H., & Xia, C. (2023). Comparing the performance of multi-layer perceptron training on electrical and optical network-on-chips. Journal of Supercomputing, 79, 10725-10746. doi: 10.1007/s11227-022-04945-y

Cheng, L., Luo, S., Li, B., Liu, R., Zhang, Y., & Zhang, H. (2023). Multiple-instance learning for EEG based OSA event detection. Biomedical Signal Processing & Control, 80, 104358. doi: 10.1016/j.bspc.2022.104358

Mair, J., Huang, Z., Eyers, D., & Zhang, H. (2013). Myths in PMC-based power estimation. In J.-M. Pierson, G. Da Costa & L. Dittmann (Eds.), Energy efficiency in large scale distributed systems: EE-LSDS Conference, revised selected papers: Lecture notes in computer science (Vol. 8046). (pp. 35-50). Heidelberg, Germany: Springer. doi: 10.1007/978-3-642-40517-4_3

Chapter in Book - Research

Mair, J., Huang, Z., & Zhang, H. (2012). Energy-aware scheduling for parallel applications on multicore systems. In N. Kaabouch & W.-C. Hu (Eds.), Energy-aware systems and networking for sustainable initiatives. (pp. 38-58). Hershey, PA: IGI Global. doi: 10.4018/978-1-4666-1842-8.ch003

Chapter in Book - Research

Arghavani, A., Zhang, H., Huang, Z., Chen, Y., & Chen, Z. (2023). Tuatara: Location-driven power-adaptive communication for wireless body area networks. IEEE Transactions on Mobile Computing, 22(1), 574-588. doi: 10.1109/TMC.2021.3070296

Journal - Research Article

Cheng, L., Luo, S., Li, B., Liu, R., Zhang, Y., & Zhang, H. (2023). Multiple-instance learning for EEG based OSA event detection. Biomedical Signal Processing & Control, 80, 104358. doi: 10.1016/j.bspc.2022.104358

Journal - Research Article

Cheng, L., Luo, S., Yu, X., Ghayvat, H., Zhang, H., & Zhang, Y. (2023). EEG-CLNet: Collaborative learning for simultaneous measurement of sleep stages and OSA events based on single EEG signal. IEEE Transactions on Instrumentation & Measurement. Advance online publication. doi: 10.1109/TIM.2023.3235436

Journal - Research Article

Dai, F., Chen, Y., Huang, Z., Zhang, H., Zhang, H., & Xia, C. (2023). Comparing the performance of multi-layer perceptron training on electrical and optical network-on-chips. Journal of Supercomputing, 79, 10725-10746. doi: 10.1007/s11227-022-04945-y

Journal - Research Article

Teng, F., Zhu, R., Zhou, Y., Chi, M., & Zhang, H. (2023). A lightweight model of wheel-rail force inversion for railway vehicles. Concurrency & Computation, 35, e6443. doi: 10.1002/cpe.6443

Journal - Research Article

Yang, W., Chen, Y., Huang, Z., Zhang, H., & Gu, H. (2023). Routing and wavelength assignment for multiple multicasts in Optical Network-on-Chip (ONoC). IEEE Transactions on Computer-Aided Design of Integrated Circuits & Systems. Advance online publication. doi: 10.1109/TCAD.2023.3274951

Journal - Research Article

Li, Y., Luo, S., Zhang, H., Zhang, Y., Zhang, Y., & Lo, B. (2022). MtCLSS: Multi-task Contrastive Learning for Semi-Supervised pediatric sleep staging. IEEE Journal of Biomedical & Health Informatics. Advance online publication. doi: 10.1109/JBHI.2022.3213171

Journal - Research Article

Teng, F., Wang, D., Yuan, Y., Zhang, H., Singh, A. K., & Lv, Z. (2022). Multimedia monitoring system of obstructive sleep apnea via deep active learning model. IEEE MultiMedia, 29(3), 48-56. doi: 10.1109/MMUL.2022.3146141

Journal - Research Article

Xie, Y., Qiu, M., Zhang, H., Peng, L., & Chen, Z. (2022). Gaussian Distribution based Oversampling for imbalanced data classification. IEEE Transactions on Knowledge & Data Engineering, 34(2), 667-679. doi: 10.1109/TKDE.2020.2985965

Journal - Research Article

Zhang, F., Gao, R., Huang, Z., Jiang, C., Chen, Y., & Zhang, H. (2022). Complex modified projective difference function synchronization of coupled complex chaotic systems for secure communication in WSNs. Mathematics, 10, 1202. doi: 10.3390/math10071202

Journal - Research Article

Hu, S., Teng, F., Huang, L., Yan, J., & Zhang, H. (2021). An explainable CNN approach for medical codes prediction from clinical text. BMC Medical Informatics & Decision Making, 21, 256. doi: 10.1186/s12911-021-01615-6

Journal - Research Article

Xiao, G., Zhang, H., Sun, N., & Zhang, Y. (2021). Cooperative link scheduling for RSU-assisted dissemination of basic safety messages. Wireless Networks, 27, 1335-1351. doi: 10.1007/s11276-020-02525-7

Journal - Research Article

Yan, A., Chen, Z., Zhang, H., Peng, L., Yan, Q., Hassan, M. U., … Yang, B. (2021). Effective detection of mobile malware behavior based on explainable deep neural network. Neurocomputing, 453, 482-492. doi: 10.1016/j.neucom.2020.09.082

Journal - Research Article

Yang, W., Chen, Y., Huang, Z., Zhang, H., Gu, H., & Zhao, J. (2021). Cluster-based routing and wavelength assignment for multiple multicasts in 3D Optical Network-on-Chip. Optics Express, 29(26), 42394-42410. doi: 10.1364/OE.430194

Journal - Research Article

Teng, A., Peng, L., Xie, Y., Zhang, H., & Chen, Z. (2020). Gradient descent evolved imbalanced data gravitation classification with an application on internet video traffic identification. Information Sciences, 539, 447-460. doi: 10.1016/j.ins.2020.05.141

Journal - Research Article

Arghavani, A., Zhang, H., Huang, Z., & Chen, Y. (2019). CHIMP: A Learning-based Power-aware Communication Protocol for Wireless Body Area Networks. ACM Transactions on Embedded Computing Systems, 18(2), 18. doi: 10.1145/3309763

Journal - Research Article

Deng, H., Peng, L., Zhang, H., Yang, B., & Chen, Z. (2019). Ranking-based biased learning swarm optimizer for large-scale optimization. Information Sciences, 493, 120-137. doi: 10.1016/j.ins.2019.04.037

Journal - Research Article

Liu, F., Zhang, H., Chen, Y., Huang, Z., & Gu, H. (2019). Wavelength-reused hierarchical optical network on chip architecture for manycore processors. IEEE Transactions on Sustainable Computing, 4(2), 231-244. doi: 10.1109/TSUSC.2017.2733551

Journal - Research Article

Peng, L., Zhang, H., Hassan, H., Chen, Y., & Yang, B. (2019). Accelerating data gravitation-based classification using GPU. Journal of Supercomputing, 75(6), 2930-2949. doi: 10.1007/s11227-018-2253-5

Journal - Research Article

Xiao, G., Zhang, H., Sun, N., Chen, Y., Shi, J., & Zhang, Y. (2019). Cooperative bargain for the autonomous separation of traffic flows in smart reversible lanes. Complexity, 2893732. doi: 10.1155/2019/2893732

Journal - Research Article

Xie, Y., Peng, L., Chen, Z., Yang, B., Zhang, H., & Zhang, H. (2019). Generative learning for imbalanced data using the Gaussian mixed model. Applied Soft Computing, 79, 439-451. doi: 10.1016/j.asoc.2019.03.056

Journal - Research Article

Zhang, F., Sun, K., Chen, Y., Zhang, H., & Jiang, C. (2019). Parameters identification and adaptive tracking control of uncertain complex-variable chaotic systems with complex parameters. Nonlinear Dynamics, 95, 3161-3176. doi: 10.1007/s11071-018-04747-z

Journal - Research Article

Li, Y., Wang, K., Gu, H., Yang, Y., Su, N., Chen, Y., & Zhang, H. (2018). A joint optimization method for NoC topology generation. Journal of Supercomputing, 74(7), 2916-2934. doi: 10.1007/s11227-018-2339-0

Journal - Research Article

Bai, L., Gu, H., Chen, Y., Zhang, H., Xu, X., & Yang, Y. (2017). System-level modeling and performance evaluation of multistage optical network on chips (MONoCs). Photonic Network Communications, 34(1), 25-33. doi: 10.1007/s11107-016-0670-z

Journal - Research Article

Liu, X., Gu, H., Zhang, H., Liu, F., Chen, Y., & Yu, X. (2017). Energy-aware on-chip virtual machine placement for cloud-supported cyber-physical systems. Microprocessors & Microsystems, 52, 427-437. doi: 10.1016/j.micpro.2016.07.013

Journal - Research Article

Peng, L., Zhang, H., Chen, Y., & Yang, B. (2017). Imbalanced traffic identification using an imbalanced data gravitation-based classification model. Computer Communications, 102, 177-189. doi: 10.1016/j.comcom.2016.05.010

Journal - Research Article

Peng, L., Zhang, H., Zhang, H., & Yang, B. (2017). A fast feature weighting algorithm of data gravitation classification. Information Sciences, 375, 54-78. doi: 10.1016/j.ins.2016.09.044

Journal - Research Article

Xiao, G., Zhang, H., Hassan, H., Chen, Y., & Huang, Z. (2017). A cooperative offloading game on data recovery for reliable broadcast in VANET. Concurrency & Computation, 29(14), e3938. doi: 10.1002/cpe.3938

Journal - Research Article

Zhang, H., Wan, L., Chen, Y., Yang, L. T., & Peng, L. (2017). Adaptive message routing and replication in mobile opportunistic networks for connected communities. ACM Transactions on Internet Technology, 18(1), 2. doi: 10.1145/3122984

Journal - Research Article

Hou, R., Wu, J., Chen, Y., & Zhang, H. (2016). Note on edge-colored graphs for networks with homogeneous faults. Computer Journal, 59(10), 1470-1478. doi: 10.1093/comjnl/bxw012

Journal - Research Article

Wang, Z., Gu, H., Yang, Y., Zhang, H., & Chen, Y. (2016). An adaptive partition-based multicast routing scheme for mesh-based Networks-on-Chip. Computers & Electrical Engineering, 51, 235-251. doi: 10.1016/j.compeleceng.2016.01.021

Journal - Research Article

Hou, R., Wu, J.-G., Chen, Y., Zhang, H., & Sui, X.-F. (2015). Constructing edge-colored graph for heterogeneous networks. Journal of Computer Science & Technology, 30(5), 1154-1160. doi: 10.1007/s11390-015-1551-0

Journal - Research Article

Zhang, H., Österlind, F., Soldati, P., Voigt, T., & Johansson, M. (2015). Time-optimal convergecast with separated packet copying: Scheduling policies and performance. IEEE Transactions on Vehicular Technology, 64(2), 793-803. doi: 10.1109/TVT.2014.2322141

Journal - Research Article

Al-Hinai, A., Zhang, H., Chen, Y., & Li, Y. (2014). TB-SnW: Trust-based Spray-and-Wait routing for delay-tolerant networks. Journal of Supercomputing, 69(2), 593-609. doi: 10.1007/s11227-014-1095-z

Journal - Research Article

Mair, J., Eyers, D., Huang, Z., & Zhang, H. (2014). Myths in power estimation with Performance Monitoring Counters. Sustainable Computing, 4(2), 83-93. doi: 10.1016/j.suscom.2014.03.007

Journal - Research Article

Zhang, H., Soldati, P., & Johansson, M. (2013). Performance bounds and latency-optimal scheduling for convergecast in wirelessHART networks. IEEE Transactions on Wireless Communications, 12(6), 2688-2696. doi: 10.1109/TWC.2013.050313.120543

Journal - Research Article

Jadhav, S., Zhang, H., & Huang, Z. (2012). Quality of VoIP in WiMAX and UMTS. Journal of Internet Technology, 13(3), 491-499.

Journal - Research Article

Zou, Z., Soldati, P., Zhang, H., & Johansson, M. (2012). Energy-efficient deadline-constrained maximum reliability forwarding in lossy networks. IEEE Transactions on Wireless Communications, 11(10), 3474-3483. doi: 10.1109/twc.2012.090312.110938

Journal - Research Article

Chen, Y., Shen, H., & Zhang, H. (2011). Routing and wavelength assignment for hypercube communications embedded on optical chordal ring networks of degrees 3 and 4. Computer Communications, 34(7), 875-882. doi: 10.1016/j.comcom.2010.10.007

Journal - Research Article

Zhang, H., & Shen, H. (2010). Energy-efficient beaconless geographic routing in wireless sensor networks. IEEE Transactions on Parallel & Distributed Systems, 21(6), 881-896. doi: 10.1109/TPDS.2009.98

Journal - Research Article

Zhang, H., & Shen, H. (2009). Balancing energy consumption to maximise network lifetime in data-gathering sensor networks. IEEE Transactions on Parallel & Distributed Systems, 20(10), 1526-1539. doi: 10.1109/TPDS.2008.252

Journal - Research Article

Sun, X., Zhang, H., & Duan, H. (2006). 3D computerized segmentation of lung volume with computed tomography. Academic Radiology, 13(6), 670-677. doi: 10.1016/j.acra.2006.02.039

Journal - Research Article

Saifullah, A., Vegni, A. M., & Zhang, H. (2021). Mobile and social sensing. Pervasive & Mobile Computing, 75, 101435. doi: 10.1016/j.pmcj.2021.101435

Journal - Research Other

Zhang, H., & Deng, J. D. (2020). Design and management solutions to emergent networking technologies. International Journal of Parallel, Emergent & Distributed Systems. Advance online publication. doi: 10.1080/17445760.2020.1767102

Journal - Research Other

Hassan, H., Yang, L. T., & Zhang, H. (2017). Special issue on: Design Automation for Embedded Ubiquitous Computing Systems (DAEUCS). Journal of Systems Architecture, 72, 1-2. doi: 10.1016/j.sysarc.2017.01.001

Journal - Research Other

Hassan, H., Yang, L. T., Zhang, H., & Santambrogio, M. D. (2016). Special issue on: Multicore and many-core architectures for future generation embedded systems. Future Generation Computer Systems, 56, 169-170. doi: 10.1016/j.future.2015.11.017

Journal - Professional & Other Non-Research Articles

Dai, F., Chen, Y., Huang, Z., & Zhang, H. (2022). Performance comparison of multi-layer perceptron training on electrical and optical network-on-chips. In H. Shen, Y. Sang, Y. Zhang, N. Xiao, H. R. Arabnia, G. Fox, … M. Malek (Eds.), Parallel and Distributed Computing, Applications and Technologies: 22nd International Conference PDCAT 2021: Lecture notes in Computer Science (Vol. 13148). 13148, (pp. 129-141). Cham, Switzerland: Springer. doi: 10.1007/978-3-030-96772-7_13

Conference Contribution - Published proceedings: Full paper

Pang, Y., Zhang, H., Deng, J. D., Peng, L., & Teng, F. (2022). Rule-based collaborative learning with heterogeneous local learning models. In J. Gama, T. Li, Y. Yu, E. Chen, Y. Zheng & F. Teng (Eds.), Advances in knowledge discovery and data mining: Proceedings of the 26th Pacific-Asia Conference, PAKDD (Part 1): Lecture notes in artificial intelligence (Vol. 13280). (pp. 639-651). Cham, Switzerland: Springer. doi: 10.1007/978-3-031-05933-9_50

Conference Contribution - Published proceedings: Full paper

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