Mengxuan Zhang 张梦璇
Lecturer, School of Computing
the Australian National University
Mengxuan.Zhang@anu.edu.au
Biography
I am currently a Lecturer at the School of Computing, Australian National University. Before that, I had worked as a Research Associate at the Hong Kong University of Science and Technology for half year and a Postdoc at Iowa State University for around two years. 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
2019-2022 Best Paper or Best Paper Honorable Mention, Australasian Database Conference
2020 Best Presentation Award, UQ Data Science End‑of‑Year Research Workshop
2020 Student Travel Award, CORE ACSW, Australia
2023 Deans Award for Outstanding Higher Degree by Research Theses, Graduate School of The University of Queensland
Teaching
Guest Lecture
11/2022, Iowa State University, Introduction to Software Systems for Big Data Analytics (graduate level)
05/2021, the University of Queensland, Advanced Techniques for High Dimensional Data (undergraduate and graduate level)
Tutor (i.e. teaching assistant)
2019 Spring semester, the University of Queensland, Relational Database Systems (undergraduate and graduate level)
2019 Fall semester, the University of Queensland, Advanced Techniques for High Dimensional Data (undergraduate and graduate level)
Talks and Presentations
Invited Talks
11/2022 Spatial Indexing, Guest Lecture at ISU on I ntroduction to Software Systems for Big Data Analytics
05/2022 A General Introduction of Shortest Path Computation, Seminar for FAN club of ECpE Student Services
01/2022 Efficient Routing in Dynamic Road Networks (virtual), Dagstuhl Seminar on Mobility Data Science
07/2021 Efficient Shortest Path Query Processing in Dynamic Road Networks (virtual), Seminar at HKUST
05/2021 Path Finding in Road Networks (virtual), Guest Lecture at UQ on A dvanced Techniques for High Dimensional Data
Presentation at Conferences
08/2021 An Experimental Evaluation and Guideline for Path Finding in Weighted Dynamic Networks (virtual), International Conference on Very Large Databases (VLDB)
04/2021 Efficient 2-Hop Labeling Maintenance in Dynamic Small-World Networks (virtual), International Conference on Data Engineering (ICDE)
04/2021 Dynamic Hub Labeling for Road Networks (virtual), International Conference on Data Engineering (ICDE)
09/2020 Path Query Processing Using Typical Snapshots in Dynamic Road Networks (virtual), International Conference on Database Systems for Advanced Applications (DASFAA)
01/2019 Batch Processing of Shortest Path Queries in Road Networks, Australasian Database Conference 2019 (ADC)
Student Advising
Ph.D. Students at ISU
2022 X u Teng (Topic: Graph Partition Algorithm)
Ph.D. Students at HKUST
2020 - 2022 Zihan Luo (Topic: Diversified Routing)
2021 - 2022 Yehong Xu (Topic: Betweenness Centrality Computation, Traffic Optimization)
2022 Zizhuo Xu (Topic: Traffic Management and Prediction)
2022 Xinjie Zhou (Topic: Scalable Routing)
2022 Ruizhong Wu (Topic: Automated Guided Vehicle Routing)
Ph.D. Students at UQ
2019 - 2022 Ziyi Liu (Topic: Constrained Routing)
Master Students at UQ
2020 - 2021 Shangfeng Jiang and Rui Zhang (Topic: Search Space Visualization)
Academic Activities
Conference Program Committee
2023 IEEE International Conference on Data Engineering (ICDE)
2023-2024 IEEE International Conference on Mobile Data Management (MDM)
2023-2024 European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML-PKDD)
2022-2024 ACM International Conference on Web Search and Data Mining (WSDM)
2022-2024 ACM SIGKDD International Conference on Knowledge Discovery and Data Mining (KDD)
2022 ACM International Conference on Information and Knowledge Management (CIKM)
2022 ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems (SIGSPATIAL)
Journal Reviewer
2022-2023 World Wide Web Journal (WWWJ)
2022 Computer Communication (CC)
2022 Transaction on Spatial Algorithms and Systems (TSAS)
2019 Knowledge and Information Systems (KAIS)
Others
2023 Session Chair, Spatial and Temporal Databases I session at International Conference on Data Engineering (ICDE)
Personal hobbies
Yoga, Hiking, Golfing, Tango, Cooking, Reading