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Wong Ka Chun

Professor
Public Policy
City University of Hong Kong
Hong Kong

Biography

Ka-Chun has spent 3.5 years (2012-13 departmental average: 6 years after master degree) to finish a PhD degree in Department of Computer Science at University of Toronto proudly under the supervision of Professor ZHANG ZhaoLei (CCBR) at the end of 2014. After that, he becomes an independent researcher. He is merited as the first associate editor outside USA and Germany for the open-access and open-peer-review journal, BioData Mining, in 2016. He is also on the editorial board of Applied Soft Computing since 2016. He was invited as the plenary speaker for ICBCB 2017. In addition, he has solely edited 2 books published by Springer and CRC Press, attracting 30 peer-reviewed book chapters around the world (i.e. Argentina, Australia, Belgium, Brazil, China, Egypt, France, Germany, Hong Kong, India, Japan, Spain, USA). In 2017, he has solely authored a journal paper about MotifHyades published on Bioinformatics (2016 Impact Factor = 7.307), demonstarating a solid example for his PhD students at CityU. Lastly, Ka-Chun explicitly showed his track records since the 2003 SARS outbreak below, encouraging all peer students under the Hong Kong education system to trust and embrace their dreams under diverse settings.

Research Interest

Evolutionary Computation

Publications

  • Ka-Chun, Wong*. (*Sole Authorship 2017). MotifHyades: Expectation Maximization for de novo DNA Motif Pair Discovery on Paired Sequences. Bioinformatics (2016 Impact Factor = 7.307).

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