Staff Achievements

All
20161123
23 Nov 2016

Highly Cited Researcher 2016 and IEEE Fellow 2017

Prof Qingfu ZHANG has been named by Thomson Reuters in the list of "Highly Cited Researchers 2016" in the field of Computer Science and has been elevated to IEEE Fellow, effective from January 2017, for his contributions to multi-objective evolutionary computation methodologies.

According to Thomson Reuters, "Highly Cited Researchers 2016" represents some of the world's most influential scientific minds. The 2016 list focuses on contemporary research achievement: only Highly Cited Papers in science and social sciences journals indexed in the Web of Science Core Collection during the 11-year period 2004-2014 were surveyed. Highly Cited Papers are defined as those that rank in the top 1% by citations for field and publication year in the Web of Science.

 
20160530
30 May 2016

Second Class Award in the Natural Science category at the 2015 Higher Education Outstanding Scientific Research Output Awards (Science and Technology)

Four outstanding scientists at City University of Hong Kong (CityU) have won the Second Class Award in the Natural Science category at the 2015 Higher Education Outstanding Scientific Research Output Awards (Science and Technology) from the Ministry of Educatio

 
20151007
07 Oct 2015

Computer Science at City University of Hong Kong Ranked 16th Globally by US News and World Report

US News and World Report has just released its widely followed 2015 ranking of global universities and subjects. Computer science at City University of Hong Kong is ranked 16th globally; this is not just the highest ranking achieved to date but is also indicative of a continual rising trend. The ranking is based on academic reputation and research in the field, with strong emphasis on research publications and citations.

 
20150609
09 Jun 2015

高等學校科學研究優秀成果獎-自然科學獎 (二等)

Dr Jacky Keung has recently received the高等學校科學研究優秀成果獎-自然科學獎 (二等) awarded by the Ministry of Education of the People Republic of China for his collaborative research project titled “Quality-Driven Methods for Software Evolution Management and Fault Detection”.

The project is about sustainable software quality assurance techniques developed for managing software development lifecycle, and to ensure long term success of software evolution and change management required in practice. The research results have been successfully patented in several areas and published in many papers.

 

We use cookies to ensure you get the best experience on our website.

More Information