Events
Context-aware perception in adverse conditions
ISTD PhD Oral Defence Seminar by Tan Yu Xiang – Adverse conditions such as rain or murky water environment, significantly impacts various perception tasks. In rain conditions, the images captured are easily corrupted by both raindrops on the lenses and lens flare. Meanwhile in turbid underwater conditions, the murkiness reduces the contrast and saturation of the image. To tackle these problems, we utilise contextual information to improve robustness of perception algorithms.
Analysis and synthesis of audio with AI: from neurological disease to accented speech and music
ISTD PhD Oral Defence Seminar by Jan Melechovsky – In the modern era, new technology is opening opportunities to help various groups of people around the world. In this thesis, deep learning and audio processing is utilized to target the needs of and develop specific applications for patients with progressive neurological diseases, speakers of non-native English accents, and amateur and leisure musicians and music enjoyers.
Linux under the hood: powering everything from your laptop to the cloud
ISTD COIL Seminar by Norman Hsu Chen-Wei – A brief, engaging introduction to Linux as the powerful, often unseen operating system behind much of the digital world.
Advancing signal processing with modulo sampling: theory, algorithms, and applications
ISTD PhD Oral Defence Seminar by Qi Zhang – Analog-to-digital converters (ADCs) are crucial in signal processing but face challenges when handling high-dynamic-range signals. In radar systems, the coexistence of strong and weak targets can lead to significant information loss due to ADC limitations.
Neural network-defined physical layer: a new paradigm for software radio in the IoT era
ISTD PhD Oral Defence Seminar by Wang Jiazhao – The increase of the Internet of Things (IoT) has created a complex and heterogeneous wireless ecosystem, demanding IoT gateways that are both flexible and efficient. While Software Defined Radio (SDR) provides the necessary hardware adaptability, its potential is frequently undermined by significant software implementation challenges, including a lack of portability across platforms, prohibitive design complexity for advanced algorithms, and poor computational efficiency. This thesis posits that these persistent bottlenecks can be overcome by a paradigm shift in physical layer (PHY) design: reframing core communication functionalities as learnable, interpretable neural network (NN) models.
Foundations and emerging trends in database systems
ISTD COIL Seminar by DBS Bank – This talk connects foundational knowledge with real-world applications, emphasising the vital role databases play in powering today’s AI-driven technologies.
Where code meets capital: How AI and emerging tech are redefining finance
ISTD COIL Seminar by Rohit Bansal – In this session, the speaker draws on two decades of experience at the intersection of technology and global finance to offer students an industry-first perspective on how emerging technologies are transforming the financial landscape.
Multi-axis 3D printing: advanced high-DOF manufacturing empowered by geometry computing
ISTD Seminar by Fang Guoxin – Multi-Axis Additive Manufacturing (MAAM) is revolutionising 3D printing by enabling non-planar material deposition in true three-dimensional space.
Designing and evaluating interface based reflection mechanisms to enhance deliberativeness in online deliberation platforms
ISTD PhD Oral Defence Seminar by Yeo Shun Yi – In this dissertation, PhD candidate Yeo Shun Yi will examine how reflection can be systematically supported through interface interventions to enhance the deliberative quality of user contributions.
Software security: the good, the bad, and the ugly
ISTD COIL Seminar by Tan Jiaqi – In this talk, some of the techniques that cybersecurity practitioners and researchers use today, and how the cybersecurity research that is done at DSO National Laboratories help to keep critical computers and software systems in Singapore safe from cyber-attacks will be shared.