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.

The prestigious list, as compiled by Stanford University, is based on the bibliometric information in the Scopus database and includes more than 220,000 researchers from across the globe, classified into 22 scientific fields and 174 subfields.

To enhance the life quality of patients with sleep disordered breathing, researchers and clinicians led by an SUTD scientist used computational modelling to design custom-fit masks that have improved positive airway pressure treatment.

Celebrating Assistant Professor Zehui Xiong’s Distinguished Achievements: IEEE ComSoc Researcher and Paper Award

The award is the highest government award granted by the Chinese government to Chinese doctoral students who study overseas as well as postdoctoral researchers who conduct research and have received doctorates overseas.

Team FEAMurs’ project, Lepak Lah!, seeks to empower tech-savvy elderly facing difficulties in securing slots at activity centres due to limited slots and inefficient bidding systems with a one-stop app.

Team FEAMurs – comprising of CSD, ESD and Freshmore students won third prize in the university track at Dell InnovateFest 2024 held at the National Gallery Singapore and graced by Singapore’s Minister for Health, Ong Ye Kung.

Congratulations to Assistant Professor Peng Song and Collaborators for Winning the Best Paper Award at SMI 2024

Congratulations to Associate Professor Sudipta Chattopadhyay for appointment as Associate Editor in the Editorial Board of ACM Computing Survey

Celebrating Assistant Professor Zehui Xiong’s New Role as Associate Editor-in-Chief of IEEE ComSoc Best Readings