Highlights

Assoc Prof Dong from the SMT cluster has been elected a Fellow of Optica for the Class of 2027 for his contributions in nanophotonics and optical metasurfaces.

Congratulations to the SUTD recipients of the National Day Awards: Professor Tai Lee Siang, Professor Li Xiaoli, Professor Mohan Rajesh Elara, Dr Lee Chee Huei and Dr Pang Yang Huei.

SUTD researchers, together with international collaborators, have built a chip that writes, sorts, and electrically reads information stored in the “valleys” of an atomically thin material—all at room temperature and without bulky laboratory optics.

New framework enables researchers to model how light and electrons interact in metals, semiconductors and two-dimensional materials, paving the way for faster development of advanced chips, optical technologies and quantum devices.

A study co-led by an SUTD researcher has developed an AI-powered deep-learning framework trained on experimental data rather than simulations, enabling faster and more accurate design of light-controlling nanostructures.

For pioneering graphene-based plasmonic biosensors and quantum plasmonics, introducing plasma-inspired simulations that advanced quantum plasma modeling in solid-state systems.

Liu Guangxin, received the Best Flash Talk Award at Advanced Photonics: The Intelligent Photonics Forum, held in Foshan, China, from 7 to 9 November 2025. His presentation, Deep Learning-Driven Quantum Nanophotonic Systems, was recognized for its excellence and innovation.

In the latest “World’s Top 2%” scientists list released by Stanford University in September 2025, SUTD faculty were listed across fields including artificial intelligence & image processing, networking & telecommunications, optics and applied physics.

This marks a significant milestone—the first-ever external and public showcase of our Term 2 students’ works from the Design Thinking and Innovation course.

A distinguished theoretical and computational scientist, Prof Ang’s research focuses on developing theoretical scaling laws and models to address complex physical problems.