Highlights
Congratulations to Professor Tony Quek and his co-authors for being awarded two Best Paper Awards at IEEE Globecom 2024!
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!
Congratulations to Professor Tony Quek and his co-authors for winning the IEEE ICSIDP 2024 Best Paper Award
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.
Congratulations to Student Lucas Toh and his team for winning 3rd Place overall and 1st Place for Cohere Challenge
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.
Congratulations to Assistant Professor Wang Bo for winning DB GlobalChip Award at the ISOCC 2024
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 faculty recognised globally for exceptional research in Clarivate’s Highly Cited Researchers 2024
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.
Congratulations to Student Chew Ching Hian for being accepted as Contributor to the Google Summer of Code
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.
Capstone project showcased as one of 100 innovations at Prototypes for Humanity
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.
Congratulations to Associate Professor Daisuke Mashima for his new appointment as Technical Committee Member of IEEE IFS
Congratulations to Associate Professor Daisuke Mashima for his new appointment as Technical Committee Member of IEEE IFS
Congratulations to Associate Professor Jihong Park for new appointment as Technical Committee member for IEEE Signal Processing Society Machine Learning for Signal Processing (MLSP)
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.