NUS Computing - News Media NUS Computing, School of Computing, National University of Singapore, NUS, Singapore Universities /news/news-media 2018-02-18T11:00:14+08:00 NUS comlimsi@nus.edu.sg Joomla! - Open Source Content Management CFLD-NUS Business Analytics Innovation Challenge 2017 2018-02-13T10:04:00+08:00 2018-02-13T10:04:00+08:00 /news/news-media/2341-2018-cfld-ba comwsyc comlimsi@nus.edu.sg <p style="text-align: justify;">19 teams from NUS competed in the inaugural China Fortune Land Development (CFLD)-NUS Business Analytics Innovation Challenge 2017. Two teams from the NUS Master of Science in Business Analytics (MSBA) programme won first and third place in the competition. In second place was a team of undergraduate Business Analytics students, the youngest contestants in the challenge.&nbsp;</p> <p style="text-align: justify;">19 teams from NUS competed in the inaugural China Fortune Land Development (CFLD)-NUS Business Analytics Innovation Challenge 2017. Two teams from the NUS Master of Science in Business Analytics (MSBA) programme won first and third place in the competition. In second place was a team of undergraduate Business Analytics students, the youngest contestants in the challenge.&nbsp;</p> Welcoming the Age of Facial Recognition 2018-02-08T10:04:00+08:00 2018-02-08T10:04:00+08:00 /news/news-media/2337-2018-terence comwsyc comlimsi@nus.edu.sg <p style="text-align: justify;">Associate Professor Terence Sim began his research in facial recognition technology since 1998. He said that while facial recognition can be used in many fields, but it is used mainly for security purposes due to the ease of using cameras to carry out large scale screening. However, A/P Sim highlighted that the rate of error for facial recognition is higher than fingerprint and iris recognition. He cautions that the authories be careful before adopting the technology due to its high risk. A/P Sim recommends for the government to create a more comprehensive law to protect privacy to prevent identity theft. Technology companies need to ensure that their data is secure and materials are not easily stolen. A/P Sim also highlighted the necessity to distinguish between "proof of identity" and "proof of authorisation". One pitfall of the technology is that the technology is not transferrable and cannot be cancelled, unlike passwords and physical passes. NUS Computing is studying how to make facial recognition more secure and it is developing a dynamic face recognition system to improve accuracy. A trial on 39 pairs of twins proved successful, and A/P Sim said it is because everyone's expressions are different and not easily replicated.</p> <p style="text-align: justify;">Associate Professor Terence Sim began his research in facial recognition technology since 1998. He said that while facial recognition can be used in many fields, but it is used mainly for security purposes due to the ease of using cameras to carry out large scale screening. However, A/P Sim highlighted that the rate of error for facial recognition is higher than fingerprint and iris recognition. He cautions that the authories be careful before adopting the technology due to its high risk. A/P Sim recommends for the government to create a more comprehensive law to protect privacy to prevent identity theft. Technology companies need to ensure that their data is secure and materials are not easily stolen. A/P Sim also highlighted the necessity to distinguish between "proof of identity" and "proof of authorisation". One pitfall of the technology is that the technology is not transferrable and cannot be cancelled, unlike passwords and physical passes. NUS Computing is studying how to make facial recognition more secure and it is developing a dynamic face recognition system to improve accuracy. A trial on 39 pairs of twins proved successful, and A/P Sim said it is because everyone's expressions are different and not easily replicated.</p> Q&A with Tuan Q. Phan: ALSET’S Research Lead in Social and Networks Analysis 2018-02-02T10:04:00+08:00 2018-02-02T10:04:00+08:00 /news/news-media/2334-2018-tuan comwsyc comlimsi@nus.edu.sg <p style="text-align: justify;">Tuan Q. Phan is an Assistant Professor in the Department of Information Systems &amp; Analytics in the School of Computing. He also serves in the NUS Institute of Application of Learning Science and Educational Technology (ALSET) as the Research Theme Lead for Social and Network Analysis.</p> <p style="text-align: justify;">Tuan Q. Phan is an Assistant Professor in the Department of Information Systems &amp; Analytics in the School of Computing. He also serves in the NUS Institute of Application of Learning Science and Educational Technology (ALSET) as the Research Theme Lead for Social and Network Analysis.</p>