Events
IEEE MRS 2025
The IEEE MRS 2025 will be held on 4-5 Dec 2025 at the Singapore University of Technology and Design (SUTD).
Where, what, how: Geometry, semantics and affordances for robotic mobile manipulation
ISTD COIL Seminar by Jen Jen Chung – This talk will discuss the tight connections between perception, planning and learning for robot grasping and nonprehensile interaction with articulated objects.
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.
Mapping Urban Belonging in Places of Flux in Singapore
Urban change in the next two decades in Singapore will be socio-spatial and multi-sourced as urban redevelopment will grow in scope and extent as the city’s built environment ages.
Moral Compass, Machine Trust
As AI systems increasingly act as teammates rather than tools, understanding the human factors behind trust becomes essential.
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.
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.
Decarbonizing by Design
In this session, Karan Sinsinwar, Technical Director, Sustainability at AECOM Singapore, will examine how decarbonization strategies are evolving beyond conventional energy efficiency to embrace whole-life carbon thinking, digital innovation, and integrated design approaches.
Beyond worst-case: The rise of learning-augmented online algorithms
ESD Research Seminar by Themis Gouleakis – Online algorithms are traditionally analysed in adversarial worst-case settings, leading to guarantees that often fail to capture practical performance. The emerging framework of learning-augmented algorithms integrates machine-learned predictions into online decision making while preserving rigorous guarantees.
Dialogues with Leaders: Networking with Experts in Human-Centred Design
Dialogues with Leaders by Hasan Habib – Hasan shares on his experience in UX/UI design in the industry and where he teaches as an Assistant Professor.
