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Dr. Kai QIN (Alex)

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Publish under A. K. Qin

(Google Scholar Citations)

 

Lecturer, Ph.D., B.Eng., IEEE Senior Member

School of Computer Science and Information Technology, RMIT University

Office: 14.08.13 (City Campus)
GPO Box 2476, Melbourne, 3001, Victoria, Australia


Phone: +(61 3) 9925 2287
E-mail: kai.qin@rmit.edu.au

I received the B.Eng. degree from the School of Automation at the Southeast University (Nanjing, Jiangsu, China) in 2001, and the Ph.D. degree from the School of Electrical and Electronic Engineering at the Nanyang Technological University (Singapore) in 2007. In 2005, I had visited the Illinois Genetic Algorithms laboratory at the University of Illinois at Urbana- Champaign (Urbana, IL, USA) for three months. From 2007 to 2009, I had worked as a postdoctoral fellow in the Vision and Image Processing Lab in the Department of Systems Design Engineering at the University of Waterloo (Waterloo, Ontario, Canada). From 2010 to 2012, I had worked in the MISTIS Team at INRIA Grenoble Rhone-Alpes (Grenoble, France), firstly as a postdoctoral researcher and then as an expert engineer. Then, I joined the RMIT University (Melbourne, Australia) as a Vice-Chancellor's Research Fellow. Now, I am a Lecturer in the School of Computer Science and Information Technology at RMIT.


 

Highlights:

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  • Our following two papers become the 1st and 3rd most-cited papers in IEEE Transactions on Evolutionary Computation over the last 10 years (according to Web of Science "Essential Science Indicators"):

    • J. J. Liang, A. K. Qin, P. N. Suganthan and S. Baskar,  ˇ°Comprehensive learning particle swarm optimizer for global optimization of multimodal functions,ˇ± IEEE Transactions on Evolutionary Computation, 10(3): 281- 295, 2006.
    • A. K. Qin, V. L. Huang and P. N. Suganthan,  ˇ°Differential evolution with strategy adaptation for global numerical optimization,ˇ± IEEE Transactions on Evolutionary Computation, 13(2): 398- 417, 2009.
  • Our paper  ˇ°Differential evolution algorithm with strategy adaptation for global numerical optimizationˇ± received the 2012 IEEE Transactions on Evolutionary Computation Outstanding Paper Award.

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