Events

Assistant Professor Liu Xiaogang awarded the Shimadzu-SNIC Industry Award in Applied and Translational Chemistry 2022
Congratulations to Assistant Professor Liu Xiaogang for receiving the Shimadzu-SNIC Industry Award in Applied and Translational Chemistry 2022!


Mingmei Li & Benjamin Tan (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute
Mingmei Li & Benjamin Tan (Singapore University of Technology and Design) – Presentations by the Aviation Studies Institute


Advance Higher Education Fellowships at SUTD – Dr Tan Mei Xuan
Congratulations to Senior Lecturer Tan Mei Xuan, who has been recognized internationally as having achieved the status of Fellow by AdvanceHE.
The Fellowship recognizes personal and institutional commitment to professionalism in learning and teaching in higher education. This involved submitting a reflective portfolio of teaching practices, with supportive evidences.


Vishal Gupta (USC Marshall School of Business) – Data Pooling in Stochastic Optimization for Panel Data
Vishal Gupta (USC Marshall School of Business) – Data Pooling in Stochastic Optimization for Panel Data


Congratulations to Assistant Professor Leo Chen Huei’s graduate student in winning the best oral presentation award
Assistant Professor Liu Xiaogang together with Assistant Professor Leo Chen Huei’s PhD student, Shanmugham Meyammai, presented their research work titled “Time Dependent Activation of TMAO Induced Apoptosis and Inflammation on Human Microvascular Endothelial Cells” in the Monash-INITIATE 2022 online conference. The research work was done under the supervision of Assistant Professor Leo Chen Huei.
Mey’s abstract was selected for oral presentation, and she won the Third Prize of the Best Oral Presentation Award, Monash Initiate 2022. Congratulations!


Congratulations to Assistant Professor Liu Xiaogang’s Graduate Students in Winning the HPC Innovation Challenge for the Environment 2022
SUTD Team won the 2nd Runner-Up Prize in the HPC Innovation Challenge for the Environment competition in September 2022. This competition intends to explore how we can tackle environmental challenges using High-Performance Computing (HPC). The SUTD team, consisting of Miss Wu Xia and Mr. Shen Tianruo, focused on the computation-aided design of “small” and “red” fluorophores (namely ‘Singapore Red”) for bioimaging and biosensing applications. Their computational design minimizes ‘trial-and-error’ in experimental synthesis and thereby reduces waste generation during the development of chemical products. This design-centric approach offers a new route to greening chemical synthesis and reducing carbon emission and waste discharge to the environment.
Both Wu Xia and Tianruo are from the Science, Mathematics and Technology Cluster, supervised by Assistant Professor Liu Xiaogang.


Congratulations to Assistant Professor Liu Xiaogang’s Graduate Students in Winning the HPC Innovation Challenge for the Environment 2022
Congratulations to Assistant Professor Liu Xiaogang’s Graduate Students in Winning the HPC Innovation Challenge for the Environment 2022


Costas Courcoubetis (Chinese University of Hong Kong) – Topics in the Analysis and Optimization of Decentralized Systems
Costas Courcoubetis (Chinese University of Hong Kong) – Topics in the Analysis and Optimization of Decentralized Systems


Assistant Professor Desmond Loke Featured on Semiconductor Digest
Semiconductor Digest published an article on SUTD researchers leveraging novel nanotechnology to control living cells over longer periods of time. This research was led by SMT Assistant Prof Desmond Loke and the team includes research fellows Denise Lee and Natasa Bajalovic, PhD student Maria Meivita and alumni, Sophia Chan and Lunna Li from SUTD. To read more, click here: https://www.semiconductor-digest.com/sutd-researchers-leverage-novel-nanotechnology-to-control-cells-over-long-periods/

Louis Bigo (University of Lille) – Modeling language in musical scores
This presentation reviews different representations and algorithms dedicated to the processing of symbolic musical data, enabling the highlighting of different aspects of musical language that appears within musical scores.