Su Shin Ang

Su-Shin (Ed) Ang

Adjunct Senior Lecturer

Biography

Dr Su-Shin (Ed) Ang is currently an Adjunct Senior Lecturer at National University of Singapore, Faculty of Engineering. He obtained his Bachelors (BEng) and  doctorate from Imperial College London, Electrical and Electrical Engineering, in 2009, and has since worked in the medical and wearable devices industry.

Su-Shin has always taken an active interest in applied research, having led an engineering team in biomedical algorithm research, supervised masters level projects at Imperial College and Surrey University, and carried out hands on work on prototype development. Apart from his academic responsibilities at NUS, Su-Shin is working as a clinical engineering consultant his own company, Medical Frontier Technology Pte. Ltd., where he provides advice to his clients and carry out software development work for them.

Research Interests

Su-Shin’s research interests principally include the design of biomedical algorithms for wellness monitoring. This include the design and construction of prototypes for data collection, and the application of biosignals processing and Machine Learning techniques to interpret the data. He has published his research in the British Medical Journal, Journal of Real-Time Image Processing, Field Programmable Custom Computing Machines etc.

Personal Interests

Su-Shin enjoys long distance running, and has participated in the Gatwick Half marathon, Straits Times run, and the Taroko Gorge full marathon.

Awards

  • Overseas Research Student Awards Scholarship (2004)
  • Eric Laithwaite Prize for Outstanding Innovation in Final Year Project (2003)
  • Schlumberger Second Year Project Prize (2002)

Selected Publications

  • Su-Shin Ang, Miguel Hernandez-Silveira, “Framework for Biomedical Algorithm Design”, CRC Press, 2017.
  • Miguel Hernandez-Silveira, Kamran Ahmed, Su-Shin Ang, Fahriya Zandari, Tinaz Mehta, Rebecca Weir, Alison Burdett, Chris Toumazou, and Stephen J. Brett. “Assessment of the feasibility of an ultra-low power, wireless digital patch for the continuous ambulatory monitoring of vital signs.” British Medical Journal, 2015.
  • Miguel Hernandez-Silveira, Su-Shin Ang, and Alison Burdett. “Challenges and trade-offs involved in designing embedded algorithms for a low-power wearable wireless monitor.” In The 15th International Conference on Biomedical Engineering, 416-419, 2014.
  • Su-Shin Ang, George A. Constantinides, Wayne Luk, and Peter YK Cheung. “Custom parallel caching schemes for hardware-accelerated image compression.”, Journal of Real-Time Image Processing, 2008.