CV and collaborators

Dr Xiaonan Wang is an associate professor and a promising female scientist of Chemical Engineering at Tsinghua University. She is also an adjunct professor in the Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS). She is leading a Smart Systems Engineering research group of more than 20 team members as PI at Tsinghua and NUS. Her team, in close collaboration with the renowned resilience brokers and Imperial College London, has built a systematic planning platform for smart city and engineering development that combines model-based and data-driven approaches for overall economic, environmental and social benefits improvements. She has published more than 70 peer-reviewed journal and conference proceeding papers, chaired more than 10 sessions and delivered more than 30 presentations/invited talks at international conferences and universities on five continents. Besides academic research and teaching, she has led an education series on Artificial Intelligence and Machine Learning in Science & Engineering to disseminate knowledge and public understanding. She has trained more than 1000 PG/UG students with machine learning and optimization techniques. Xiaonan and her students have developed novel machine learning and artificial intelligence technologies applied in biomedical, nano-materials, energy, environment and sustainability related research. She was recognized as an IChemE Global Awards 2017 Young Researcher finalist and several best paper awards at IEEE Conferences. She is also the deputy director of the Accelerated Materials Development programme in Singapore.

 

Our team is always open for collaborations and promote the beautiful science & engineering!