Mr Junhua Wu

Higher Degree by Research Candidate

PhD Student

School of Computer Science

Faculty of Engineering, Computer and Mathematical Sciences

Junhua Wu is a current PhD candidate in the School of Computer Science, University of Adelaide. His main research areas are in bio-inspired algorithms and optimisation. He also has interests in machine learning, big data and search-based software engineering.

Career
Publications
Grants and Funding
Contact

Appointments

Date	Position	Institution name
2017 - 2017	Tutor of Evolutionary Computation	University of Adelaide
2016 - 2016	Tutor of Mining Big Data	University of Adelaide
2015 - 2015	Tutor of Mining Big Data	University of Adelaide
2014 - 2015	Research Assistant	University of Adelaide
2007 - 2012	Project Manager	Shanghai Hewlett-Packard Co., Ltd.
2006 - 2007	Software Development Manager	Bertelsmann Culture Industry Co., Ltd.
2003 - 2006	Senior Software Engineer	GetSilicon Incorporation (Shanghai)
2001 - 2003	Software Engineer	FA Software (Shanghai) co., Ltd.

Language Competencies

Language Competency

Chinese (Mandarin) Can read, write, speak, understand spoken and peer review

English Can read, write, speak, understand spoken and peer review

Language	Competency
Chinese (Mandarin)	Can read, write, speak, understand spoken and peer review
English	Can read, write, speak, understand spoken and peer review

Education

Date	Institution name	Country	Title
2015 - 2018	University of Adelaide	Australia	PhD of Computer Science
2012 - 2014	University of Adelaide	Australia	Master of Software Engineering
1997 - 2001	Shanghai University	China	Computer Science and Technology

Certifications

Date Title Institution name Country

— Project Management Professional Project Management Institute —
Research Interests

Analysis of Algorithms and Complexity Artificial Intelligence Knowledge Representation and Machine Learning Neural, Evolutionary and Fuzzy Computation Neurocognitive Patterns and Neural Networks Optimisation Renewable Power Software Engineering

Date	Title	Institution name	Country
—	Project Management Professional	Project Management Institute	—

Journals

Year	Citation
2018	Wu, J., Polyakovskiy, S., Wagner, M., & Neumann, F. (2018). Evolutionary Computation plus Dynamic Programming for the Bi-Objective Travelling Thief Problem.. CoRR, abs/1802.02434.
2017	Neumann, F., Polyakovskiy, S., Skutella, M., Stougie, L., & Wu, J. (2017). A Fully Polynomial Time Approximation Scheme for Packing While Traveling.. CoRR, abs/1702.05217.

Conference Papers

Year	Citation
2017	Wu, J., Wagner, M., Polyakovskiy, S., & Neumann, F. (2017). Exact Approaches for the Travelling Thief Problem.. In Y. Shi, K. C. Tan, M. Zhang, K. Tang, X. Li, Q. Zhang, . . . Y. Jin (Eds.), SEAL Vol. 10593 (pp. 110-121). Springer.
2016	Wu, J., Shekh, S., Sergiienko, N., Cazzolato, B., Ding, B., Neumann, F., & Wagner, M. (2016). Fast and effective optimisation of arrays of submerged wave energy converters. In Proceedings of the 2016 Genetic and Evolutionary Computation Conference (pp. 1045-1052). Denver, CO: Association for Computing Machinery. DOI Scopus2
2016	Wu, J., Polyakovskiy, S., & Neumann, F. (2016). On the impact of the renting rate for the unconstrained nonlinear Knapsack problem. In Proceedings of the 2016 Genetic and Evolutionary Computation Conference (pp. 413-419). Denver, CO: ACM. DOI Scopus5 WoS2
2013	Tran, R., Wu, J., Denison, C., Ackling, T., Wagner, M., & Neumann, F. (2013). Fast and effective multi-objective optimisation of wind turbine placement. In Proceedings of the 15th Annual Conference on Genetic and Evolutionary Computation, GECCO'13 (pp. 1381-1388). online: ACM. DOI Scopus16 WoS17

ARC Grant Funded Scholarship 2015 - 2018

Position: PhD Student
Phone: 83136166
Email: junhua.wu@adelaide.edu.au
Campus: North Terrace
Building: Ingkarni Wardli, floor 4
Room: 4 52
Org Unit: School of Computer Science

Mr Junhua Wu

Appointments

Language Competencies

Education

Certifications

Research Interests

Journals

Conference Papers

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