Professor Zhifeng Bao
Professor
Details
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College: School of Computing Technologies
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Department: School of Computing Technologies
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Campus: City Campus Australia
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zhifeng.bao@rmit.edu.au
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ORCID: 0000-0003-2477-381X
Open to
- Masters Research or PhD student supervision
Supervisor projects
- Towards an Economical Storage and Distributed Processing of Billion-scaled Trajectory Data
- 18 May 2023
- Pricing the Data Assets for Data Sharing, Discovery, and Integration
- 14 Dec 2022
- Deep Learning-based Trajectory Data Processing and Analysis
- 12 Jul 2022
- Effective and Efficient Point Cloud Data Management
- 2 Jun 2022
- User-Delay-Tolerance-Aware Edge Node Placement Optimization for Cost Minimization
- 22 Dec 2020
- Spatial Computing for Large-scale Urban Data
- 7 Aug 2020
- Query Processing in Database System
- 23 Jun 2020
- Finding the Optimal Locations Under Non-submodular Cannibalization : When the Personal Movement Flow Matters
- 2 Jul 2018
- Learning-Based Geospatial Data Analysis For Urban Traffic and Transportation Improvement
- 1 Mar 2018
- Efficient and Effective Trip Planning: A Data-Driven Approach
- 1 Aug 2017
- Capturing and Leveraging Collective Behavior for Large-scale Social Networks Analysis
- 1 Aug 2017
- Efficient Pattern Query Processing over Trajectory Data
- 1 Mar 2017
- Fast Trajectory Search for Real-world Applications
- 29 Feb 2016
- Visual Analytics of Geo-related Multidimensional Data
- 20 Jul 2015
- Towards Efficient Personalized Ranking
- 2 Mar 2015
Teaching interests
Coordinator of COSC1169: Intranet and Internet Data Engineering
Supervisor interests
Database management, Keyword search over database, Spatial-textual data processing, Heterogeneous data usability, Social network analysis
Supervisor interests
Database management, Keyword search over database, Spatial-textual data processing, Heterogeneous data usability, Social network analysis
Research interests
Dr Zhifeng Bao is highly interested in how to make data usable to data consumers, and in how to make the implementation of such usability as efficient and generalized as possible. In particular, he has been playing actively in:
Improving the usability of heterogeneous cross-domain data
• (Semi-)Structured data: relational, XML, spatial
• Unstructured data: text string
• Social network data (is NOT just a graph): modelling, management and analysis
• High-dimensional data: image, video, time-series trajectory
Methodology
1. Keyword Search (fuzzy search, type-ahead search, geo-textual search, personalized search, real time search)
2. Query Relaxation/Suggestion,
3. Visualized data exploration and analysis
4. Provenance Data Storage and Tracking.
Improving the usability of heterogeneous cross-domain data
• (Semi-)Structured data: relational, XML, spatial
• Unstructured data: text string
• Social network data (is NOT just a graph): modelling, management and analysis
• High-dimensional data: image, video, time-series trajectory
Methodology
1. Keyword Search (fuzzy search, type-ahead search, geo-textual search, personalized search, real time search)
2. Query Relaxation/Suggestion,
3. Visualized data exploration and analysis
4. Provenance Data Storage and Tracking.
