Filtered by: Research

Associate Professor Hahn Jungpil wins Best Paper award for Advances in Research Methods track at ICIS 2020

25 November 2020 Department of Information Systems & Analytics , Faculty , Research , Data Science & Business Analytics , Intelligent Systems

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.

Learn more ...


Associate Professor Hahn Jungpil wins Best Paper award for IS Development & Project Management track at ICIS 2020

25 November 2020 Department of Information Systems & Analytics , Faculty , Research , IS Development & Management , Digital Transformation, Platforms & Innovation

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.

Learn more ...


Quantum Physics Gets a Boost from AI

13 November 2020 Department of Computer Science , Faculty , Research , Feature , Artificial Intelligence

 

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.

Learn more ...


NUS team develops tool that can assess vulnerability of AI systems to attacks

10 November 2020 Department of Computer Science , Faculty , Research , News Media , Security

 

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.

Learn more ...


NUS Computing professors awarded grants from MOE Academic Research Fund (AcRF)

05 November 2020 Department of Computer Science , Faculty , Research , Programming Languages & Software Engineering , Artificial Intelligence , Computational Biology

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.

Learn more ...


Professor Chua Tat Seng wins Best Paper Award at ACM Multimedia Conference 2020

03 November 2020 DCS Research , Department of Computer Science , Faculty , Research , Media , NExT

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.

Learn more ...


The Perils of Paying for Product Reviews

23 October 2020 Department of Information Systems & Analytics , Faculty , Research , Feature , Data Science & Business Analytics , Digital Transformation, Platforms & Innovation

 

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.

Learn more ...


NUS Computing researchers develop wearable device for gait analysis

05 October 2020 Department of Computer Science , Faculty , Research , News Media , Systems & Networking

 

Three NUS researchers have developed wearable devices that help perform gait analysis. The four sensors installed at the toe and heel of the shoes can detect the speed, rotation and step length of the user's movement. The data is reflected in the app in real time for analysis by the therapist.

Dr Boyd Anderson, a lecturer from NUS Computing's Department of Computer Science, said: “If you are an elderly person, you may be more frail when walking, and being able to quantify that is very important. If you’re a sprinter, seeing how every step hits the track is also very important for say, optimising your performance. Traditionally, you would use a clinical gait mat which is pressure sensitive."

Medical gait mats take up space and are expensive, costing upwards of $10,000. The cost of this device however, is expected to be under $500. In addition to relying on an inertial measurement instrument to measure acceleration and rotation during movement, the device also combines ultra-wideband radio technology to collect step lengths and step widths that are difficult to measure. Its accuracy rate is 97%.

The four sensors mounted on the shoes run on lithium batteries and has a battery life of 18 hours per charge. The research team has already applied for a technology patent. They are working to bring this technology to professional athletes who are looking to improve their skills.

The team is also looking at ways to incorporate the sensors for use in various running shoes.

Learn more ...


Watching People Walk

05 October 2020 Department of Computer Science , Faculty , Research , Feature , Systems & Networking

 

Life has a funny way of leading people down paths they least expect. Just ask NUS Computing lecturer Boyd Anderson. Two years ago, Anderson, then a PhD student, found himself at Mustafa Centre, a 24-hour mall in the heart of Singapore’s Little India district. It was 3 a.m., and Anderson was throwing what seemed to be a random assortment of things into a shopping cart: a hot glue gun, Velcro tape, disposable socks, and 12 pairs of sneakers, each a different size.

Learn more ...


Beyond Paywalls and Profits

01 October 2020 Department of Information Systems & Analytics , Faculty , Research , Feature , Computational Social Science

In March 2011, the New York Times introduced a policy that would later be recognised as a milestone in media history. The newspaper, deemed one of the best in the world, declared that its online content would no longer be completely free — after the first 20 articles, readers would have to pay a small fee.

Learn more ...


Machine learning bubbling up in the maritime industry

25 September 2020 Department of Computer Science , Faculty , Research , Database

25 September 2020 – Have you ever heard of the ‘cappuccino effect’? It is not the latest trend in foam art among aficionado baristas, but a common malpractice committed in the shipping industry through negligence.

Learn more ...


New $9m research programme for smart city solutions

16 September 2020 Department of Computer Science , Faculty , Research , News Media

 

NUS and ST Engineering are collaborating on a S$9 million, multi-year advanced digital technologies research programme to further their common goals of building a people-centric, smart future for Singapore and beyond.

Research efforts of this new programme will focus on technologies related to Smart City as well as Smart Maintenance, Repairs and Overhaul (MRO), covering five areas: resource optimisation and scheduling; prescriptive analytics; decision and sense-making; reasoning engine and machine learning; as well as digital twin. These research areas support ST Engineering’s focus on developing differentiated and people-centric, smart city solutions that meet the present and future needs of cities around the world. The interdisciplinary research areas are also aligned with NUS’ endeavours as a driving force behind smart city innovations, leveraging its deep expertise that spans multiple domains and faculties.

Professor Chen Tsuhan, NUS Deputy President (Research & Technology), said, “As Singapore advances its position as a Smart Nation, having the right enterprise architecture to support those goals will determine if true digital transformation can be achieved. Over the years, NUS and ST Engineering have enjoyed a close and productive relationship. This new collaboration will combine NUS’ expertise in the science of cities with ST Engineering's industry knowledge to co-create people-centric Smart City solutions that will form the foundational systems to bring about not just impactful, but radical, change to the lives of people in Singapore and the world.”

Learn more ...


Bringing video games to life

04 September 2020 Department of Computer Science , Faculty , Research , Feature , Media

Your heartbeat quickens as you watch your video game avatar run through the twisting corridors of the castle. There is still treasure to be found and a hostage to be rescued, and time is running out. Suddenly, a large shadow looms on the dim candlelit stone walls, followed by a low roar that sounds awfully close. You take a deep breath, clutch your mace a bit tighter, and ready yourself to attack. You swing around the corner, weapon raised, and…

Learn more ...


NUS Computing students and alumni awarded the Outstanding Undergraduate Researcher Prize

28 August 2020 Department of Computer Science , Department of Information Systems & Analytics , Faculty , Student , Research

28 August 2020 – Six NUS Computing final-year students and alumni received the NUS Outstanding Undergraduate Researcher Prize (OURP) for Academic Year 2019/2020.

The annual, university-wide competition encourages undergraduates to pursue research projects and recognises exceptional undergraduate researchers for their work.

Learn more ...


How hackers use sound to unlock the secrets of your front door key

25 August 2020 Department of Computer Science , Faculty , Research , News Media , Security

 

A group of security researchers from the department of computer science at the National University of Singapore has created an attack model they call SpiKey to determine the key shape that will open any tumbler lock.

Soundarya Ramesh, Harini Ramprasad and Jun Han are the talented hackers behind SpiKey, which they say "significantly lowers the bar for an attacker," when compared to a more traditional lock-picking attack. The theoretical methodology is deceptively simple, listening for the sound of the key as it moves past tumbler pins in turn when the key is inserted in the lock.

The Singapore hackers use a simple smartphone to record the sound of the key being inserted, and withdrawn, with a smartphone and then observe the time between each tumbler pin click using their custom key reverse-engineering application. This forms the secret of the key, the fine-grained bitting depths which, the researchers report, can differ by as little as 15 milli-inches, or 0.381 millimeters.

"As SpiKey infers the shape of the key, it is inherently robust against anti-picking features in modern locks," the research paper states, "and grants multiple entries without leaving any traces."

Learn more ...


Asian Institute of Digital Finance to fund three NUS Computing research projects

19 August 2020 Department of Computer Science , Department of Information Systems & Analytics , Faculty , Research , Systems & Networking , Security , FinTech , Intelligent Systems

 

19 August 2020 – The Asian Institute of Digital Finance (AIDF) will be funding three research projects by NUS Computing Associate Professors He Bingsheng, Huang Ke-Wei and Liang Zhenkai.

Learn more ...


The path to startup success: finding product market fit

19 August 2020 Department of Information Systems & Analytics , Faculty , Research , Feature , Digital Transformation, Platforms & Innovation

In 2015, Shi Ying Lim was working on her Ph.D. in Austin, Texas. As part of her work, she studied a budding health IT startup that was trying to develop an app to help patients with chronic diseases.

The aim was to help patients — who were living with conditions such as diabetes or had just been discharged after surgery — better manage their care. Among other things, the app would send patients reminders to take their medication or change their dressing, and to contact their doctors if complications arose.

Learn more ...


MAS, NRF, NUS to set up school for digital finance and fintech

05 August 2020 Faculty , Research , Teaching , News Media , Press Release

 

A new research institute will be set up by the end of the year to drive education, research and entrepreneurship in digital finance in the region. The institute, called the Asian Institute of Digital Finance (AIDF), is jointly developed by the Monetary Authority of Singapore (MAS), the National Research Foundation (NRF) and the National University of Singapore (NUS), the three organisations announced on Tuesday (Aug 4).

It will be hosted at NUS and offer a master's programme, as well as award scholarships to students to pursue further research at the doctoral level. It will also train post-doctoral fellows in the areas of digital finance and fintech. Through its education programme, the AIDF will build the FinTech leadership pipeline for Singapore and the wider region. The institute will be based at the Kent Ridge campus of NUS.

Learn more ...


Associate Professor Yu Haifeng wins Best Paper Award at ACM SPAA 2020

04 August 2020 Department of Computer Science , Student , Research , Algorithms & Theory , Systems & Networking

 

4 August 2020 – NUS Computing Dean’s Chair Associate Professor Yu Haifeng won the Best Paper Award at the 32nd ACM Symposium on Parallelism in Algorithms and Architectures (SPAA 2020), held online from 14 to 16 July 2020.

Learn more ...


Professor Abhik Roychoudhury and research collaborators win Distinguished Paper Award at ICSE 2020

21 July 2020 Department of Computer Science , Faculty , Research , Programming Languages & Software Engineering

21 July 2020 – NUS Computing Provost's Chair Professor Abhik Roychoudhury and his team received the ACM SIGSOFT Distinguished Paper Award at the 42nd International Conference on Software Engineering (ICSE 2020), held online from 27 June to 19 July 2020. The conference provides a platform for researchers to present and discuss innovations and trends in the field of software engineering.

Learn more ...