Data Analytics for Engineering

Dr. Ang obtained her Doctor of Philosophy from Nanyang Technological University, Singapore. Her research interests include machine learning and data science, computer simulations, environmental science, and cooling technology. She has used data analytics and machine learning algorithms to make predictions or recommendations based on engineering data.

Dr. Nguyen Thi Qui is an Assistant Professor at the Singapore Institute of Technology (SIT), Engineering Cluster. She obtained her PhD in Construction Technology and Management from National University of Singapore, Singapore in 2014. She has more than 10 years of experience working on applied research projects in both academic and industry environments. Her research interests are situated in the field of Building Information Modelling (BIM), digitalization, robotics and Artificial Intelligence methodologies for building industry.

Dr. Kyrin is a lecturer with the Engineering cluster, leading courses such as Engineering Maths and Mechanics over a number of programmes, including aircraft systems engineering (ASE), and Mechanical Design and Manufacturing Engineering (MDME). She graduated in 2014 from the National University of Singapore with a Doctor of Philosophy in Mechanical Engineering, where her thesis work was conducted in conjunction with surgeons from the National University Hospital (NUH). Her research expertise lies mainly in biomechanics studies, with the specific use of finite element and computational fluid dynamics analyses to aid clinicians with surgical planning. She has spent close to a decade working closely with reconstructive and hand surgeons in an effort to improve patient outcomes.

Dr. Chua obtained his PhD in Biomedical Engineering from University College Dublin, Ireland. He holds a concurrent appointment as the Director of the University's teaching and learning unit, the Centre for Learning Environment and Assessment Design. In this role, he works closely with academic staff in both faculty as well as student development. He was the founding Program Director of SIT's Diagnostic Radiography and Radiation Therapy programs. In that role, he was leading efforts to graduate industry-ready practitioners through intensive industry engagement and strong curriculum design. Dr Chua's research interests are in the intersection of education and data analytics, and enhancing students' self-regulated learning.

Dr. Tan Rui Zhen joined SIT as an assistant professor in the Engineering cluster in 2017. She has published 10 papers and her research interest includes data analytics, predictive maintenance, mathematical modelling, bioinformatics and systems biology. Prior to joining SIT, she worked as a post-doctoral research fellow at the Bioinformatics Institute, A*STAR, for five years where she utilizes computational and mathematical methods in modelling of biological systems. She holds a Bachelor of Engineering in Applied Engineering Physics from Cornell University and a PhD in biophysics from Harvard. She was awarded the A*STAR National Science Scholarship in 2002 and awarded Honourable Mention in the International Physics Olympiad in 2001.

Dr. Zhou is an associate professor in the engineering cluster at SIT. She earned her PhD in mechatronics and design from NTU. Her key research areas are data analytics, machine learning, smart manufacturing, condition-based maintenance, and the Industrial Internet of Things (IIoT). She teaches courses on data analytics, machine learning, and the industrial internet of things (IIoT) at SIT. She has many years of industry experience in implementing data analytics and machine learning for predictive maintenance and quality improvement in the manufacturing of semi-con, precision engineering, and aerospace MRO.