Achievements

We are honoured to announce that Professor Tony Quek and his co-authors have received not one but two Best Paper Awards at the recent IEEE Globecom 2024!

Their research paper titled “A Unified Tensor-Based Joint Communication and Sensing Parameter Estimation for ISAC with Large-Scale User Access” has been awarded the Best Paper Award by the IEEE International Conference on Signal, Information and Data Processing 2024 held in Zhuhai, China.

NSBEHacks is the first student-run hackathon hosted by the NSBE UofT Chapter and is dedicated to the experiences of Black individuals in technology and engineering.

Their paper, titled “Lookup Table and Neural Network Based Decoders for Real Time Quantum Error Correction” proposes a lookup-table-based, minimum weight perfect matching decoder, achieving a decoding latency of only 4 clock cycles for a surface code distance of 7.

SUTD’s Associate Provost for Research, Professor Chua Chee Kai, and Assistant Professor Xiong Zehui are among the 108 awardees from Singapore on Clarivate’s 2024 list of Highly Cited Researchers.

Marrying aesthetics and function, Hanabii is shaped like a flower (Hana = “flower” in Japanese) and expands open like a firework (Hanabi = “firework” in Japanese) when used by a child.

Congratulations to our student Chew Ching Hian for being accepted as Contributor to the Google Summer of Code. The following is Ching Hian’s sharing of her journey in this program.

The Multi-Agent Search and Rescue Drones (MASNRD) is a human-drone collaboration framework designed to locate victims in urban natural disasters using mobile device signals. It is one of 100 projects shortlisted for the showcase.

The project, by Assistant Professor Immanuel Koh, explores the design agency of deep generative neural networks in learning architectural notions of three-dimensional exteriority and interiority with a redesigned 3D generative adversarial network (3D-GAN) architecture.

The Machine Learning for Signal Processing Technical Committee (MLSP TC) is at the interface between theory and application, developing novel theoretically-inspired methodologies targeting both longstanding and emergent signal processing applications.