Xiaonan Wang
Associate Professor at Tsinghua University School of Economics and Management
Biography
Tsinghua University School of Economics and Management
Education
- PhD (Chemical Engineering) University of California, Davis, USA, 2015
- MSc (Chemical Engineering) University of California, Davis, USA, 2012
- BSc (Chemical and Industrial Biological Engineering) Tsinghua University, China, 2011
Awards and Honours
- 2019 Applied Energy Award: Outstanding Paper for International Conference on Applied Energy (ICAE 2018)
- 2018 Royal Society International Exchanges Award
- 2017 IChemE Global Awards 2017 Young Researcher finalist
- 2016 Nominated for the UC Davis College of Engineering Award for the Best Doctoral Dissertation
- 2015 Graduate Studies Travel Award, University of California
- 2014 Two Best Presentation in Session Awards at American Control Conference (ACC), Power Systems/ Fault Detection and Control
- 2013 Conoco Phillips/ Phillips 66 Fellowship in Energy Research and Development
- 2012 Graduate Student Researcher Award for Engineering or Computer-related Applications
Research Interests
- Smart city and urban systems development
- Multi-scale systems modelling, automation and optimization
- Novel machine learning, AI and IoT technologies applied in Energy, Environment and Sustainability related research
- Energy and process systems engineering
- Life cycle sustainability assessment
Videos
CN5111 WEEK2 Single Variable Optimization
Xiaonan Wang: Neural networks
Tutorial Week 4 - Process Dynamics and Control
NUS CN5111 Optimization of Chemical Processes: Week 1 Opening
Tutorial Week 5 - Process Dynamics and Control
Ezra's Round Table on 10/22/2021: Xiaonan Wang (Tsinghua University)
Lecture 9(a) Multi-Objective Optimization
NUS CN5111 Optimization of Chemical Processes: Week 1 Conclusions
Lecture 8(b) Integer Programming
Lecture 9(b) Stochastic Programming
LINERR PROGRAMMING--NUS CN5111
Lecture 8 Integer Programming
Lecture 7(b) Linear Programming
Lecture 10 Heuristics/Meta-Heuristics Optimization
Lecture 0 Course outline and overview
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