Mengxuan Zhang 张梦璇
Lecturer, School of Computing
the Australian National University
Mengxuan.Zhang@anu.edu.au
Multiple PhD positions with full scholarship are available in my group. If you are a self-motivated student in CS or related majors and are interested, you can click here for more details and contact me.
News
[2024.05] I am honored to receive the invitation as a Doctoral Consortium Chair in ADC 2024.
[2024.05] Our four papers are being presented at ICDE 2024 held in Utrecht, Netherlands.
Biography
I am a Lecturer (a.k.a. Assistant Professor) at the School of Computing, Australian National University. Before that, I worked as a Research Associate at the Hong Kong University of Science and Technology and as a Postdoc at Iowa State University. I obtained my Ph.D. Degree (2021) from the University of Queensland, Master's Degree (2017) from Dalian University of Technology, and Bachelor's Degree (2014) from Wuhan University of Science and Technology. My main research area is the Spatial Temporal Database. I have been focused on designing efficient, accurate, and scalable algorithms for route planning in dynamic and constrained environments.
Research
My research focuses on designing fundamental algorithms to overcome challenges in real-life navigation systems by enabling efficient processing of 1) numerous queries in dynamic environments; 2) personalized routing; 3) diversified routing. Applications of my research include navigation services, robot path planning, carpooling scheduling, traffic management, logistics planning, and social network analysis.
Research topic1: Efficient Dynamic Routing
Batch Query Processing
Relevant publications: 1-N batch processing; Query decomposition for batch processing; Streaming processing.
Index Maintenance
Research topic 2: Efficient Constrained and diversified Routing
Multiple constraints
Relevant Publications: Experimental study on multi-constrained query, Multi-constrained, Flexible multi-constrained.
Other research topics
Traffic optimization
Relevant Publication: Global routing optimization
Scalable routing
Research works on the way
Awards
2023 Deans Award for Outstanding Higher Degree by Research Theses, Graduate School of The University of Queensland
2020 Best Presentation Award, UQ Data Science End‑of‑Year Research Workshop
2020 Student Travel Award, CORE ACSW, Australia
2019-2022 Best Paper or Best Paper Honorable Mention, Australasian Database Conference
Personal hobbies
Yoga, Hiking, Golfing, Zumba, Cooking, Reading