STAFF PROFILE
Dr Kai Qin
Dr. Kai Qin received the Ph.D. degree from Nanyang Technological University (Singapore) in 2007. From 2007 to 2012, he had worked first at the University of Waterloo (Canada) and then at the French National Institute for Research in Computer Science and Control (INRIA) (France). In 2012, he joined RMIT as a Vice-Chancellor’s Research Fellow. Now, he is a lecturer at RMIT. His research interests include evolutionary computation, machine learning, image processing, GPU computing, service computing, mobile computing, and social media data analytics.
Dr. Qin has produced 50+ publications with 4400+ citations (Google Scholar) and 2100+ citations (Web of Science). Two of his journal papers are the 1st and the 3rd most-cited papers (ESI of Web of Science) over the last 10 years in the IEEE Transactions on Evolutionary Computation (TEVC). He received the 2012 IEEE TEVC Outstanding Paper Award, the 2012 Genetic and Evolutionary Computation Conference (GECCO’12) best paper nominee, and the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES’14) overall best paper award. Dr. Qin has also made some achievements of bridging academic research and real-world applications, e.g., he had
- developed a software system named MAGIC (MAp-Guided Ice Classification) that can efficiently interpret remote sensing imagery as well as generic images.
- developed a computer vision based electronic component’s defect detection technique that can significantly improve the operational performance of the state-of-the-art commercial automatic optical inspection machines.
In recent years, Dr. Qin’s research focuses on how to effectively synergize machine learning and intelligent optimisation techniques to resolve challenging real-world problems in which learning and optimisation are involved as two indispensable and interwoven tasks. As an IEEE Senior Member, Dr. Qin has been chairing the IEEE Emergent Technologies Task Force on “Collaborative Learning and Optimisation”, aiming to promote the international collaboration among academic and industrial researchers from both machine learning and optimisation communities.
In addition to research, Dr. Qin also undertakes teaching and administration activities:
- Teaching activities:
- COSC1519: Introduction to Programming (Semester 2, 2015)
- COSC1125/1127: Artificial Intelligence (Semester 1, 2015)
- COSC1500/1159: Advanced Topics in Artificial Intelligence (Semester 1, 2014)
- COSC1138: Internet Industry Project (Semester 2, 2013)
- COSC2393: Web/Internet Project 2 (Semester 2, 2013)
- COSC2409: Programming Project 2 (Semester 2, 2013)
- Administration activities:
- MC208 program coordinator (2014 Semester 2)
- PG member of the learning and teaching committee (2014 Semester 2)
In addition to research, Dr. Qin also undertakes teaching and administration activities:
- Teaching activities:
- COSC1519: Introduction to Programming (Semester 2, 2015)
- COSC1125/1127: Artificial Intelligence (Semester 1, 2015)
- COSC1500/1159: Advanced Topics in Artificial Intelligence (Semester 1, 2014)
- COSC1138: Internet Industry Project (Semester 2, 2013)
- COSC2393: Web/Internet Project 2 (Semester 2, 2013)
- COSC2409: Programming Project 2 (Semester 2, 2013)
- Administration activities:
- MC208 program coordinator (2014 Semester 2)
- PG member of the learning and teaching committee (2014 Semester 2)
- B.Eng. (1997 - 2001), Southeast University, Nanjing, P. R. China
- Ph.D. (2003 - 2007), Nanyang Technological University, Singapore
- Senior Member of IEEE (2012-now)
- Member of IEEE Emergent Technologies Technical Committee (2013-now)
- Chair of IEEE Emergent Technologies Task Force on “Collaborative Learning and Optimisation”, Emergent Technologies Technical Committee of IEEE Computational Intelligence Society (2013-Now)
- Member of IEEE Evolutionary Computation Task Force on “Evolutionary Computation for Feature Selection and Construction”, Technical Committee of IEEE Computational Intelligence Society (2014-Now)
- Member of IEEE Emergent Technologies Task Force on “Emerging Technologies in Operations Research and Management Sciences”, Emergent Technologies Technical Committee of IEEE Computational Intelligence Society (2013-now)
- Member of IEEE Evolutionary Computation Task Force on “Differential Evolution”, Evolutionary Computation Technical Committee of IEEE Computational Intelligence Society (2012-Now)
- Member of IEEE Emergent Technologies Task Force on “Education”, Emergent Technologies Technical Committee of IEEE Computational Intelligence Society (2011-2013)
- Member of IEEE Evolutionary Computation Task Force on “Large Scale Global Optimisation”, Evolutionary Computation Technical Committee of IEEE Computational Intelligence Society (2009-Now)
- Chair of Special Session on “Differential Evolution: Past, Present and Future”, 2015 IEEE Congress on Evolutionary Computation (CEC’15), Sendai, Japan, May 25-28, 2015
- Co-Chair of Invited Session on “Collaborative Learning and Optimisation”, the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES’14), Singapore, November 10-12, 2014
- Publicity Co-Chair of the 18th Asia Pacific Symposium on Intelligent and Evolutionary Systems (IES’14), Singapore, November 10-12, 2014
- Chair of Special Session on “Differential Evolution: Past, Present and Future”, 2014 IEEE World Congress on Computational Intelligence (WCCI’14), Beijing, China, July 6-11, 2014
- Chair of Special Session on “Differential Evolution: Past, Present and Future”, 2013 IEEE Congress on Evolutionary Computation (CEC’13), Cancun, Mexico, June 20-23, 2013
- Publicity Committee of the 2013 IEEE Symposium Series on Computational Intelligence (SSCI’13), Singapore, April 16-19, 2013
- Competition Chair of the 9th International Conference on Simulated Evolution and Learning (SEAL’ 12), Ha Noi, Viet Nam, 16-19 December 2012
- Chair of Special Session on “Differential Evolution: Past, Present and Future”, 2012 IEEE World Congress on Computational Intelligence (WCCI’12), Brisbane, Australia, June 10-15, 2012
- Editor for the journal of Progress in Intelligent Computing and Applications
- Editor for the journal of PeerJ Computer Science
- Guest Editor for the journal of Memetic Computing
- Mistry, S.,Bouguettaya, A.,Dong, H.,Qin, K. (2016). Metaheuristic optimization for long-term IaaS service composition In: IEEE Transactions on Services Computing, , 1 - 14
- Chen, R.,Li, H.,Qin, K.,Kasiviswanathan, S.,Jin, H. (2016). Private spatial data aggregation in the local setting In: Proceedings of the 32nd IEEE International Conference on Data Engineering (ICDE 2016), Helsinki, Finland, 16-20 May 2016
- Zhang, C.,Lim, P.,Qin, K.,Tan, K. (2016). (In Press) Multiobjective deep belief networks ensemble for remaining useful life estimation in prognostics In: IEEE Transactions on Neural Networks and Learning Systems, , 1 - 13
- Campbell, A.,Ciesielski, V.,Qin, K. (2016). Node label matching improves classification performance in deep belief networks In: Proceedings of the IEEE Annual International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, 24-29 July 2016
- Song, H.,Qin, K.,Salim, F. (2016). Multivariate electricity consumption prediction with extreme learning machine In: Proceedings of the IEEE Annual International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, 24-29 July 2016
- Li, Y.,Jin, L.,Qin, K.,Sun, C.,Ong, Y.,Cui, T. (2016). Semi-supervised auto-encoder based on manifold learning In: Proceedings of the IEEE Annual International Joint Conference on Neural Networks (IJCNN 2016), Vancouver, Canada, 24-29 July 2016
- Kenny, A.,Li, X.,Qin, K.,Ernst, A. (2016). A population-based local search technique with random descent and jump for the Steiner tree problem in graphs In: Proceedings of the 2016 Annual Conference on Genetic and Evolutionary Computation (GECCO 2016), Denver, United States, 20-24 July 2016
- Liang, X.,Qin, K.,Tang, K.,Tan, K. (2016). (In Press) QoS-aware web service composition with internal complementarity In: IEEE Transactions on Services Computing, , 1 - 14
- Lu, K.,Xia, S.,Zhang, J.,Qin, K. (2016). Robust road detection in shadow conditions In: Journal of Electronic Imaging, 25, 1 - 17
- Liono, J.,Qin, K.,Salim, F. (2016). Optimal time window for temporal segmentation of sensor streams in multi-activity recognition In: Proceedings of the 13th International Conference on Mobile and Ubiquitous Systems: Computing, Networking and Services (MOBIQUITOUS 2016), Hiroshima, Japan, 28 November -1 December 2016
- Long-term Cloud Service Composition . Funded by: ARC Discovery Projects 2016 from (2016 to 2018)
10 PhD Current Supervisions