News
Cyberattacks and data breaches: how safe are our essential services and personal information?
CNA938 Rewind – SUTD Associate Professor Daisuke Mashima discussed the growing threat of cyberattacks and data breaches, the vulnerabilities faced by businesses and consumers, and efforts to protect essential services and personal information.
What if you simply viewed an ad and your device got infected?
In this opinion piece, ISTD’s Dr Victor Keong highlights how zero-click spyware exposes the limits of cybersecurity training and urges employers and technology companies to strengthen defences.
$16,000 prize for S’pore-developed AI assistant that carries out tasks for visually impaired users
Sunday, an AI assistant developed by a team led by SUTD’s Rajaselvam Kalyanaraman alongside fellow students Kunalkumar Senthilkumar and Pravin R, and Devadharshini Kumar, won Huawei’s Tech4City top prize for helping visually impaired users carry out smartphone tasks through voice commands.
#TalkBack: Can somebody next to you scan your information off your wallet or phone?
CNA938 Rewind – Professor Zhou Jianying shares some insights about whether someone nearby can scan information from your wallet or phone, and how to protect yourself.
Her World Hot Takes: What Singapore’s inspiring women really think about success, passion and their 30s
SUTD Assistant Professor Malika Meghjani shared her belief that success will speak for itself at the Her World Women of the Year 2026 gala.
In rain and darkness, how should self-driving cars trust their sensors?
SUTD Assistant Professor Zhao Na and team developed new methods to help self-driving cars better perceive their surroundings in challenging conditions.
Helping society with the aid of ‘AI’
SUTD students won second prize in the university category at this year’s Dell InnovateFest competition. Their application “Bloom Up” was created to help users in a Movement for the Intellectually Disabled of Singapore (MINDS) programme carry out everyday tasks on their own.
Teaching radar to read motion in traffic scenes
A research team led by Assistant Prof Zhao Na developed IterFlow, a lightweight learning framework that helps 4D radar estimate the 3D motion points in a traffic scene.
Theory-Guided AI Halves Network Congestion for Billions of IoT Devices
A new theory-guided AI framework for managing random network access can cut the time needed to clear congested queues in half while drastically reducing both average latency and collision rates. This framework was developed by researchers from Beihang University and SUTD.
AI framework generates more realistic 4D LiDAR worlds for autonomous systems
Researchers from SUTD have developed HieraScaffold, an AI framework that generates large-scale 4D LiDAR (light detection and ranging) scenes more efficiently and coherently. This research was led by Assistant Professor Zhao Na.
