Dr Mingzhong Wang joined USC in 2015 as a Lecturer in ICT. Before that, he worked as a Lecturer at Beijing Institute of Technology in China. He has developed and taught a wide range of subjects, covering data analysis, artificial intelligence, algorithm design, and computational theory.
His research areas include large-scale distributed systems, data management, multiagent systems, as well as information security issues in these fields. He has won a grant from Chinese National Science Foundation, studying service-oriented scientific workflow scheduling in cloud environment. He has been the principal investigator of several industrial-funded projects, focusing on enterprise information system and business management system. He has won the Best Paper Award in 2013 (32nd) International Performance Computing and Communications Conference.
- Best Paper Award, 2013, 32nd International Performance Computing and Communications Conference (IPCCC 2013).
- 1st Prize, 2012, (China) National Undergraduate Information Security Contest.
- Faculty Advisor Award, 2012, (China) National Undergraduate Information Security Contest.
You can view Mingzhong's publications at:
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Wang M., Zhu L., Zhang Z. (In press). Risk-aware Intermediate Dataset Backup Strategy in Cloud-based Data Intensive Workflows. Future Generation Computer Systems (DOI: 10.1016/j.future.2014.08.009).
Wang M., Zhu L., Kotagiri R. (In press). Reasoning Task Dependencies for Robust Service Selection in Data Intensive Workflows. Computing (DOI:10.1007/s00607-013-0381-6).
Liu C., Zhu L., Wang M., Tan Y. 2014. Search Pattern Leakage in Searchable Encryption: Attacks and New Constructions. Information Sciences, 265: 176–188 (DOI:10.1016/j.ins.2013.11.021).
Wang M., Zhang X., Zhu L., Liao L. 2013. Trust-based Workflow Refactoring for Concurrent Scheduling in Service-oriented Environment. Concurrency and Computation: Practice and Experience, 25(13): 1879–1893 (DOI:10.1002/cpe.2989).
Wang M., Kotagiri R., Chen J. 2009. Trust-Based Robust Scheduling and Runtime Adaptation of Scientific Workflow. Concurrency and Computation: Practice and Experience, 21(16): 1982–1998 (DOI:10.1002/cpe.1456).
Potential research projects for HDR and Honours students
- Analysis and mining of sensor data
- Process mining in business environment
|Project name||Investigators||Funding body||Year||Focus|
|Cloud-based Long-lived and Instance-intensive Workflow Management System||Mingzhong Wang, CI||Chinese National Science Foundation (A$44,000)||2012–2014||Management of large scale workflows in cloud and service environments|
Service Component Architecture-based Business Management System
Mingzhong Wang, CI
China Electronics Technology Group Corporation
Design and implementation of business management systems with
Service Component Architecture
- workflow and business process management
- service and cloud computing
- data analysis and mining
- security and privacy
- Data Management and Analysis
- Data Science
- Computer Literacy
Dr Mingzhong Wang’s specialist areas of knowledge include data analysis and mining, workflow and business process management, information security and privacy, and distributed systems.