About
Zichun Zhu is currently a PhD student at the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ). He is working under the supervision of Dr. Wen Hua, Dr. Miao Xu from EECS and Dr. Jiwon Kim from the School of Civil Engineering. His current research interests include spatiotemporal data management, sequential modelling, map-matching, and AI/ML application on transpotation.
Education
- Bachelor of Science in Electrical System - University of Melbourne (2015 - 2018)
- Master of Computer Science - University of Melbourne (2018 - 2020)
- PhD in EECS - The University of Queensland (2021 - Present)
Publications
- Map-matching on Wireless Traffic Sensor Data with a Sequence-to-Sequence Model, MDM 2023
- CLMM: Uncertainty-aware Map-Matching for Bluetooth Data through Contrastive Learning, ADC 2024
Projects
Infectious Disease (Malaria) Modelling (Mar 2019 - July 2020)
This project involved developing a population model that integrates within-host dynamics to explore the complex epidemic behaviors of Malaria parasites. The model, which is based on a customized agent-based approach and implemented in Python, provides insights into the intricate lifecycle of Malaria and its impact on population-level disease transmission.
Bluetooth Map Matching (April 2021 - Present)
This project tackles the challenges associated with Bluetooth map-matching, focusing on issues like the high complexity of large road networks, the absence of ground-truth data, and the varying levels and types of noise. The work has resulted in the publication of a paper, which is mentioned in the Publications section.
Contact
Email: zichun.zhu@uq.edu.au
LinkedIn: LinkedIn Profile
ORCID: 0000-0001-7986-4263
Google Scholar: Zichun Zhu