03 November 2021 – Assistant Professor Jonathan Scarlett has been named in this year’s ‘Innovators Under 35’ Asia Pacific List by MIT Technology Review. The list honours young innovators in five categories: inventors, entrepreneurs, visionaries, humanitarians, and pioneers.
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20 October 2021 – Provost's Chair Professor Atreyi Kankanhalli has made this year’s Singapore 100 Women in Tech (SG100WIT) List, which honours women who have made trailblazing contributions to the field of technology in Singapore.
20 October 2021 – Shaw Senior Professor Tan Kian-Lee and Associate Professor Xiao Xiaokui have won Best Paper awards at the 47th International Conference on Very Large Data Bases, held both online and onsite in Copenhagen, Denmark from 16 to 20 August 2021.
06 October 2021 - Assistant Professor Yang You from the Department of Computer Science recently won the IEEE Computer Society Technical Consortium on High Performance Computing (TCHPC) Early Career Researchers Award.
29 September 2021 - Professors Sanjay Jain and Frank Stephan and their research collaborators, lecturer Wei Li from the NUS Department of Mathematics, Professors Cristian Calude from the University of Auckland, and Bakhadyr Khoussainov from the University of Electronic Science and Technology of China and the University of Auckland, have won the EATCS-IPEC Nerode Prize for their paper on Deciding Parity Games in Quasipolynomial Time.
23 September 2021 – Assistant Professor Kuldeep Meel and his research collaborators, Dr Mate Soos and Nicholas Prevot, have won the Spring 2021 Amazon Research Award for their project titled ‘GPU-Enabled Parallel SAT Solving’, which focuses on enabling scalability of parallel SAT solvers using Graphics Processing Units (GPUs).
7 September 2021 – NUS Computing Assistant Professor Warut Suksompong and his research collaborators won the Distinguished Paper Award at the 2021 International Joint Conference on Artificial Intelligence (IJCAI 2021), held online from 19 to 26 August 2021.
27 August 2021 – NUS Computing Computer Science (CS) PhD graduate Dr Dai Zhongxiang, CS PhD students Abdul Fatir Ansari and Samson Tan, as well as NUS Graduate School (NUSGS) Integrative Sciences and Engineering PhD student Peter Karkus, were awarded the Dean’s Graduate Research Excellence Award in August this year
13 August 2021 - NUS Computing faculty members, Professor Joxan Jaffar, Associate Professor Prateek Saxena and Assistant Professor Angela Yao, were awarded funding from the MOE Academic Research Funding (AcRF) Tier 2 scheme.
23 April 2021 - Thirteen research papers by NUS Computing faculty and students were featured in the 30th Web Conference, which ended today, April 23.
The Web Conference is an annual international conference focusing on the topic of the World Wide Web, and aims to provide the world with a premier forum for discussion and debate about the evolution of the Web, the standardisation of its associated technologies, and the impact of those technologies on society and culture.
5 April 2021 - Professor Shen Heng Tao, an NUS Computing undergraduate and postgraduate alumnus (Class of 2000 and Class of 2004 respectively), was named a Fellow of the Association for Computing Machinery (ACM) early this year.
17 March 2021 - NUS Computing’s new AI lab, the NUS Artificial Intelligence Laboratory (NUSAiL), was recently awarded S$9.9 million in research grants by AI Singapore.
8 December 2020 – Assistant Professor Jun Han, Computer Science PhD student Sriram Sami, and final-year undergraduates Yimin Dai (Computer Science) and Sean Rui Xiang Tan (Computer Engineering), as well as Assistant Professor Nirupam Roy from the University of Maryland, won the Best Poster Runner-Up Award at the 18th ACM Conference on Embedded Networked Sensor Systems (SenSys 2020).
25 November 2020 – Associate Professor Hahn Jungpil and PhD in Information Systems graduate, Peng Jiaxu, recently won the Best Paper award in the Advances in Research Methods track at the International Conference on Information Systems (ICIS) 2020.
25 November 2020 – Associate Professor Hahn Jungpil and Master’s in Information Systems graduate, Vasilii Zorin, recently won the Best Paper award in the Information Systems Development & Project Management track at the International Conference on Information Systems (ICIS) 2020.
Stéphane Bressan and Christian Miniatura grew up in rival neighbourhoods of the naval garrison town of Toulon in southern France. They went to the same high school and the same college only a few years apart, but never were acquainted until 2006 when they were both working halfway across the world, at the National University of Singapore. Miniatura and Bressan became fast friends, meeting regularly to “put the world to rights” over French food and wine.
“One of our favourite debates was whether artificial intelligence can be useful to quantum physics,” says Bressan, an associate professor at the School of Computing. He was convinced that AI could lend a helping hand in solving some of physics’ longstanding problems. But Miniatura, a quantum physicist by training and the director of the Franco-Singaporean physics laboratory MajuLab, remained perplexed albeit intrigued at the possibility.
National University of Singapore (NUS) researchers have developed a tool to safeguard against a new form of cyber attack that can recreate the data sets containing personal information used to train artificial intelligence (AI) machines.
The tool, called the Machine Learning (ML) Privacy Meter, has been incorporated into the developer toolkit that Google uses to test the privacy protection features of AI algorithms.
In recent years, hackers have figured out how to reverse-engineer and reconstruct database sets used to train AI systems through an increasingly common kind of attack called a membership inference (MI) attack.
Assistant Professor Reza Shokri, who heads the research team behind ML Privacy Meter, said such attacks involve hackers repeatedly asking the AI system for information, analysing the data for a pattern, and then using the pattern to guess if a data record was used to train the AI system.
Prof Shokri likened MI attacks to thieves probing for weak spots in a house's walls and doors with a needle before breaking in. "But the thief is not going to break in with the needle. Now that he knows (where the weak spots are), he is going to come with a hammer and break the wall," he said.
ML Privacy Meter helps AI developers through a scorecard showing how accurately attackers could recreate the original data sets and suggests techniques to guard against actual MI attacks. The Privacy Meter is the result of three years of work to create an easy-to-use tool which helps programmers see where the weak spots in their algorithms are.
Google started using the tool earlier this year. The tool is open-source, meaning that it can be used for free by other researchers or companies around the world.
"Our main focus was to build an easy-to-use interface for anybody who knows machine learning, but might not know anything about privacy and cyber attacks," said Prof Shokri, who is Iranian by birth and moved to Singapore in 2017.
The NUS research team that developed the Machine Learning Privacy Meter also consists of master's student Mihir Khandekar, 24, doctoral student Chang Hongyan, 24, research assistant Aadyaa Maddi, 22, and doctoral student Rishav Chourasia, 24.
5 November 2020 – Several NUS Computing professors were recently awarded funding from the MOE Academic Research Funding (AcRF) Tier 2 scheme. Among the grant recipients were Professor Dong Jin Song, Professor Wing-Kin Sung and Assistant Professor Lee Gim Hee, all from the Department of Computer Science.
3 November 2020 – Professor Chua Tat Seng, Kwan Im Thong Hood Cho Temple Chair Professor at NUS Computing and Director of the NUS-Tsinghua Extreme Search Center (NExT++), won the Best Paper award at the ACM Multimedia Conference. The conference was held online from 12 – 16 October 2020, and is a leading international forum for researchers focusing on advancing the research and applications of multiple media such as images, text, audio, speech, music, sensor and social data.
These days, we live and buy by online reviews. Looking for a pair of headphones? Wondering what movie to stream or if you should splash out for the new PlayStation 5? Or perhaps you need a hotel to stay in and suggestions for the best baby back ribs in town? Well look no further than the Internet, for someone somewhere will surely have a recommendation to offer about the product, service or facility you are thinking of.
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