Dr Xiaonan Wang is an associate professor 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 Department of Chemical and Biomolecular Engineering at the National University of Singapore (NUS) as an assistant professor in 2017. She is also a program leader of the Association of Pacific Rim Universities (APRU)’. Her research focuses on multi-scale modelling, optimization, data analytics and machine learning for applications in advanced materials, energy, environmental and manufacturing systems to support smart and sustainable development towards the carbon neutrality target. She has been leading a Smart Systems Engineering research group of more than 20 members and also the deputy director of the Accelerated Materials Development programme in Singapore. She has published more than 100 peer-reviewed papers, organized and chaired several international conferences. She is an editorial board member of 10 SCI journals e.g. Applied Energy, ACS ES&T Engineering. She was recognized as an 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 awards at IEEE and Applied Energy conferences and journals.

2007 - 2011 B.Sc, Department of Chemical Engineering, Tsinghua University

2011 - 2015 Ph.D, Department of Chemical Engineering, Minor in Control Science, University of California, Davis

2015 - 2017 Postdoctoral Scholar and Lecturer, Department of Chemical Engineering, Energy Futures Program, Imperial College London

2017 - 2021 Assistant Professor, Adjunct Associate Professor, Department of Chemical and Biomolecular Engineering, National University of Singapore (NUS)

2021 - Present Associate Professor, Department of Chemical Engineering, Tsinghua University

AI for Science, Carbon Neutrality, Process Systems Engineering, Scientific AI, Sustainable Energy Systems

[1] Jie Su; Jiali Li; Na Guo; Xinnan Peng; Jun Yin; Jiahao Wang; Pin Lyu; Zhiyao Luo; Koen

Mouthaan; Jishan Wu; Chun Zhang*; Xiaonan Wang*; Jiong Lu*; Intelligent synthesis of magnetic nanographenes via chemist-intuited atomic robotic probe, Nature Synthesis, 2024.

[2] Yuan, Xiangzhou, Manu Suvarna, Juin Yau Lim, Javier Pérez-Ramírez, Xiaonan Wang, and Yong Sik Ok. "Active Learning-Based Guided Synthesis of Engineered Biochar for CO2 Capture." Environmental Science & Technology (2024).

[3] Xiaohu Ge; Jun Yin; Zhouhong Ren; Kelin Yan; Yundao Jing; Yueqiang Cao*; Nina Fei; Xi Liu*; Xiaonan Wang*; Xinggui Zhou; Liwei Chen; Weikang Yuan; Xuezhi Duan*; Atomic Design of Alkyne Semihydrogenation Catalysts via Active Learning, Journal of the American Chemical Society, 2024,146(7): 4993-5004

[4] Nung Siong Lai; Yi Shen Tew; Xialin Zhong; Jun Yin; Jiali Li; Binhang Yan; Xiaonan Wang*;

Artificial Intelligence (AI) Workflow for Catalyst Design and Optimization, Industrial & Engineering Chemistry Research, 2023, 62(43): 17835-17848.

[5] Honghao Chen; Yingzhe Zheng; Jiali Li; Lanyu Li; Xiaonan Wang*; AI for Nanomaterials

Development in Clean Energy and Carbon Capture, Utilization and Storage (CCUS), ACS Nano, 2023, 17(11): 9763-9792.

[6] Tiankai Chen; Jiali Li; Pengfei Cai; Qiaofeng Yao; Zekun Ren; Yixin Zhu; Saif Khan;Jianping Xie*; Xiaonan Wang*; Identification of chemical compositions from “featureless” optical absorption spectra: Machine learning predictions and experimental validations, Nano Research, 2023, 16: 4188-4196

[7] Haitao Yang; Jiali Li; Kai Zhuo Lim; Chuanji Pan; Tien Van Truong; Qian Wang; Kerui Li;Shuo Li; Xiao Xiao; Meng Ding; Tianle Chen; Xiaoli Liu; Qian Xie; Pablo Valdivia y. Alvarado; Xiaonan Wang*; Po-Yen Chen*; Automatic strain sensor design via active learning and data augmentation for soft machines, Nature Machine Intelligence, 2022, 4(1): 84-94.

[8] Hao Deng; Zhiyao Luo; Joe Imbrogno; Tim M. Swenson; Zhongyi Jiang; Xiaonan Wang*; Sui Zhang*; Machine Learning Guided Polyamide Membrane with Exceptional Solute–Solute Selectivity and Permeance, Environmental Science & Technology, 2022, 57(46): 17841-17850.

[9] Jie Li; Lanjia Pan; Manu Suvarna; Xiaonan Wang*; Machine learning aided supercritical water gasification for H2-rich syngas production with process optimization and catalyst

screening, Chemical Engineering Journal, 2021, 426(131285): 1-18.

[10] Manu Suvarna; Ken Shaun Yap; Wentao Yang; Jun Li; Yen Ting Ng; Xiaonan Wang*; Cyber–Physical Production Systems for data-driven, decentralized, and secure manufacturing—A perspective, Engineering, 2021, 7(9): 1212-1223.

[11] Flore Mekki-Berrada; Zekun Ren; Tan Huang; Wai Kuan Wong; Fang Zheng; Jiaxun Xie; IsaacParker Siyu Tian; Senthilnath Jayavelu; Zackaria Mahfoud; Daniil Bash; Kedar Hippalgaonkar; Saif Khan; Tonio Buonassisi; Qianxiao Li; Xiaonan Wang*; Two-step machine learning enables optimized nanoparticle synthesis, npj Computational Materials, 2021, 7(1): 1-10.

[12] Jiali Li; Mykola Telychko; Jun Yin; Yixin Zhu; Guangwu Li; Shaotang Song; Haitao Yang; Jing Li; Jishan Wu; Jiong Lu*; Xiaonan Wang*; Machine vision automated chiral molecule detection and classification in molecular imaging, Journal of the American Chemical Society, 2021, 143(27): 10177-10188.

[13] Shidang Xu; Jiali Li; Pengfei Cai; Xiaoli Liu; Bin Liu*; Xiaonan Wang*; Self-improving photosensitizer discovery system via Bayesian search with first-principle simulations, Journal of the American Chemical Society, 2021, 143(47): 19769-19777.

[14] Zuming Liu; Mei Qi Lim; Markus Kraft; Xiaonan Wang*; Simultaneous design and operation optimization of renewable combined cooling heating and power systems, AIChE Journal, 2020,66(12): e17039.

[15] Lin Jing; Qian Xie; Hongling Li; Kerui Li; Haitao Yang; Patricia Li Ping Ng; Shuo Li;Yang Li; Edwin Hang Tong Teo; Xiaonan Wang*; Po-Yen Chen*; Multigenerational crumpling of 2D materials for anticounterfeiting patterns with deep learning authentication, Matter, 2020, 3(6):2160-2180

2023 ACS Sustainable Chemistry & Engineering Lectureship award

2023 I &EC Research Class of Influential Researchers

2023 James J. Morgan Award Early Career Award (Honorable Mention)

2022 "50 Women in Tech" list by Forbes China

2021-2023 World’s Top 2% Scientists, published in Mendeley Data from Elsevier

2021 Future Chemical Engineers Award by Global Chinese Chemical Engineering Symposium (GCCES)

2021 AIChE-SLS Outstanding Young Principal Investigator Award

2020 AIChE Futures Scholar (invited for AIChE Journal Future Issue for Rising Star)

2018 Royal Society International Exchanges Award

2017 Institution of Chemical Engineers (IChemE) Global Awards 2017 Young Researcher finalist

Website: https://www.smartsystemsengineering.com/

Google Scholar: https://scholar.google.es/citations?hl=en&user=dCJWe6gAAAAJ

ORCID: 0000-0001-9775-2417

Scopus Author ID: 56166894600

ResearcherID: T-1102-2017