• Smart Systems Engineering

    Xiaonan Wang Research Group | Learning Hub



    Associate Professor

    Department of Chemical Engineering, Tsinghua University

    Beijing,100084, P.R. China

  • Research


    AI for Science

    Check more details of

    our SSE research at



    • Energy system modeling
    • Data-driven modeling and optimization
    • Process design and simulation 
    • Techno-economic analysis
    • LCA (Life Cycle Assessment)


    • Agent based simulation
    • Receding horizon optimization
    • Model predictive control
    • Machine Learning/Deep Learning
    • Multi-objective stochastic programming


    • Data mining and analytics
    • Advanced optimization
    • Active Learning for materials discovery
    • Decision support systems
    • Blockchain technologies


    Intelligent unmanned laboratory

    High performance computers, cloud computing, sensors (Internet-of-things)

    (in collaboration with CREATE C4T)

    Waste-to-Energy facilities (in collaboration with CREATE E2S2)

  • Lab News

    Research, Happiness, Exploration

    More SSE lab news at https://www.smartsystemsengineering.com/lab-news

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    DeepKey anti-counterfeiting tech by NUS researchers can perform checks under extreme conditions

    December 21, 2020

    Read the news on NUS website, Zaobao and CNA.


    Original scientific paper published on Matter.

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    Applied Energy Highly Cited Research Paper Award

    August 20, 2020

    Our paper Energy Demand Side Management within micro-grid networks enhanced by blockchain has been awarded the Applied Energy Highly Cited Paper Awards 2020. It has been a pioneering work in blockchain for energy systems and received more than 130 citations since publication in 2018. Congratulations team!

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    Congrats on our graduate of 2019

    July 12-19, 2019

    During NUS Commencement 2019, our group members have received their degrees: Mr Ho Chi-Hung with M.Eng. Mr Feng Bowen and Mr Tian Daniel with B.Eng. Bowen has won Valedictorian and invited to the commencement Dinner. Congratulations!

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    Visit by East China University of Science and Technology (ECUST) Professors

    July 3, 2019

    Prof. Feng Qian, Vice president of ECUST, Prof. Wenli Du, Dean of Information Science and Engineering, Prof. Weimin Zhong, Prof. Yang Tang, Dr. Wei Du, and Dr. Bing Wang visited NUS and our group for further collaborations in research and education.

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    Smart Factory Tour

    June 7, 2018

    Part of our team visited the Model Factory@SIMTech to learn how the Industry 4.0 and AI technologies are promoting industry development. We will have continuous collaboration with A*STAR's Singapore Institute of Manufacturing Technology (SIMTech) through research projects and students training.

  • CV and collaborators

    Born in 1990 as the new generation of scientists devoted in this enchanting research field worldwide, Dr Xiaonan Wang (in Chinese: 王笑楠), as the PI of this young and vibrant SSE lab, has been aiming to lead the sustainability and smart systems research to real societal benefits with the best team.

    Positions and full fellowship available for PhD students, postdocs, and visiting scholars.

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    Tsinghua University

    Associate Professor

    Lead of the Smart Systems Engineering lab

    September 2021- Present


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    National University of Singapore (NUS)

    Assistant Professor, Adjunct Associate Professor

    Lead of the Smart Systems Engineering lab

    July 2017- Present


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    Imperial College London

    Research Associate

    Lecturer and Master supervisor for Energy Futures Lab

    August 2015 - Auguest 2017

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    University of California, Davis

    MSc, PhD, Lecturer

    University of California full fellowship for direct PhD

    Finalist for the Best Thesis Award in Engineering

    September 2011- July 2015

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    Tsinghua University

    BEng, RA

    August 2007- July 2011

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    TAMU Safety Center

    Research Associate

    June 2010- Aug 2010


  • Publication Highlights

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    Environmental science & technology 52, 5 (2018): 3257–3266.

    Energy, water, and waste systems analyzed at a nexus level are important to move toward
    more sustainable cities. Waste-to-energy pathways, along with the water and energy sectors are studied, aiming to develop waste treatment capacity and energy recovery with the lowest economic and environmental cost. Read more

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    Computers & Chemical Engineering 115 (2018): 213-225.

    Get fascinated by the rapid development of energy storage technologies but have no clue what their true impacts are? Check out our recently published work on a decision-making framework for energy storage systems selection on our flagship PSE journal Computers & Chemical Engineering. Thanks for the great collaboration with Tsinghua Energy and Power Engineering and AquaBattery.

    Read more

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    Matter 3 (2020): 393–432

    Open Access

    How is AI accelerating all stages of Material Discovery? Our review published on #Matter provides a holistic look of what #AI and #machinelearning brings to the table for discovery & design by considering ultimate application & end-use of the material.
    Almost two years' team efforts to put this holistic review together! Congrats to my PhD students and more exciting outcome to expect!

    Read more

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    Fuel properties of hydrochar and pyrochar: Prediction and exploration with machine learning

    Applied Energy 269 (2020): 115166.

    Conversion of wet organic wastes into renewable energy is a promising way to substitute fossil fuels and avoid environmental deterioration. Machine learning models for multi-task prediction of fuel properties of the chars were developed and optimized based on two datasets for hydrochar and pyrochar. Feature importance and correlation were explored based on optimized ML model, and feature re-examination was conducted for model improvement.

    Read more

  • Teaching

    Knowing, Acting, and Being in education

    CN5111: Optimization of Chemical Processes

    CN3121: Process Dynamics and Control​

    National University of Singapore (NUS), Department of Chemical and Biomolecular Engineering
    +65 6601 6221
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