Dr Xiaonan Wang is currently a tenured associate professor in the Department of Chemical Engineering at Tsinghua University. She received her BEng from Tsinghua University in 2011 and PhD from University of California, Davis in 2015. After working as a postdoctoral research associate at Imperial College London, she joined the National University of Singapore (NUS) as an assistant professor since 2017 and later became an adjunct associate professor.
Her research focuses on the development of intelligent computational methods including multi-scale modelling, optimization, data analytics and machine learning for applications in advanced materials, energy, environmental and manufacturing systems to support sustainable development. She is leading a Smart Systems Engineering research group at NUS and Tsinghua as PI and led the AI accelerated Materials Development programme in Singapore and China. She has published more than 150 peer-reviewed papers and 3 book chapters, among which 12 are ESI highly cited papers with an H index of 48. She has organized and chaired several international conferences, and delivered more than 60 invited talks at conferences and universities on five continents.
As a rising young scientist, she was recognized as a World’s Top 2% Scientists, Cell Press Women Scientist, ACS Sustainable Chemistry & Engineering Lectureship, 50 Women in Tech by Forbes China, AIChE-SLS Outstanding Young Principal Investigator, Young Researcher Award for Engineering Sustainable Development, IChemE Global Awards Young Researcher finalist and selected for Royal Society International Exchanges Award, as well several best paper and emerging investigator awards.
Dr. Runhai Ouyang (DCTMD2024@163.com)