Events
Going beyond pretraining: recent advances, applications and future directions for test-time compute and RL
ISTD COIL Seminar by Bill Cai – This talk explores how techniques like chain-of-thought reasoning, self-consistency, and iterative refinement unlock new capabilities by investing compute during inference rather than training alone.
From one-way mirrors to AI agents: 10 lessons from the field
ISTD COIL Seminar by Emily Cheung – In this session, Emily will share 10 lessons from her journey – from observing users behind one-way mirrors to designing AI-powered ventures.
The PM's UX dilemmas: what happens when good design meets the real world
ISTD COIL Seminar by Thenmugilan Gandhy – This talk is about the decisions that don’t make it into design case studies.
Functional programming in financial markets
ISTD COIL Seminar by Nguyen Huu-Hai – In this talk, the application of functional programming in a very large industrial setting will be showcased.
A multi-modal LLM-augmented deep reinforcement learning framework for adaptive traffic signal control
ISTD Seminar by Maonan Wang – Urban traffic congestion continues to pose severe challenges for sustainable mobility, and adaptive traffic signal control is widely recognized as a key solution.
The OT Security Platform
ISTD COIL Seminar by Jonathan Chin – Operational Technology (OT) and Information Technology (IT) security safeguard devices, networks, and critical systems.
ISTD Industry Engagement Day 2025: Bridging Classrooms and Industry
Information Systems Technology and Design (ISTD) Pillar at SUTD hosted its annual Industry Engagement Day, bringing together ten leading industry and government partners and our talented Computer Science and Design (CSD) students for an inspiring afternoon of discussions, networking, and career insights.
Towards trustworthy and explainable AI for multimodal hate content moderation
ISTD PhD Oral Defence Seminar by Hee Ming Shan – The proliferation of hateful multimodal content, particularly in the form of hateful memes, poses significant threats to online safety and social cohesion. Although deep learning systems, especially vision-language models, are essential to automated multimodal content moderation, they operate as black boxes, offering limited explainability into their decision-making processes.
Software-hardware co-design for energy-efficient neural network accelerators
ISTD PhD Oral Defence Seminar by Tomomasa Yamasaki – This dissertation proposes an integrated research framework that spans algorithm-level network evaluation, hardware-aware optimisation, and cycle-accurate performance simulation.
Explaining graph-based misinformation detection models
ISTD PhD Oral Defence Seminar by Chin Wai Kit Daniel – Social media and social networking platforms have greatly connected people worldwide and democratised information creation and propagation by facilitating seamless and almost instantaneous information sharing between people and communities.