Dr Xiaonan WANG
Members
Positions and full fellowship available for PhD students, postdocs, and visiting scholars.
Xiaonan Wang
(65) 6601 6221
4 Engineering Drive 4, E5 03-04, Singapore 117585
Principle Investigator of SSE lab
Assistant Professor
Department of Chemical and Biomolecular Engineering, NUS
(July 2017 - now)
Hailin Tian
Research Fellow (Dec 2018-now)
PhD, Technical University of Denmark (2018),
M.Sc, B. Eng, China Agricultural University (2015, 2012)
Waste management, life cycle assessment, energy and resource recovery, anaerobic digestion and microbial ecology
Xinzhe Zhu
Research Fellow (Oct 2018-now)
PhD, Tsinghua University (2018),
B.Eng, Ocean University of China (2013)
Prediction of biochar properties from biomass/ Machine Learning in Materials
Song Lan
Research fellow (Sep 2019-Now)
Ph.D.: Loughborough University, UK
M.Eng: Beihang Univerisity, PRC
B.Eng: Hefei University of Technology, PRC
Waste heat recovery, thermoelectric generator, big data analytics
Xiaoli Liu
Research Fellow (Dec 2018-now)
PhD, Northeastern University (2018)
B.Eng, Northeast Normal University (2010)
Data Mining, Deep Learning, Reinforcement Learning, and their applications.
Qian Xie
Visiting Scholar (Dec 2018-now)
Lecturer, Anhui University of Technology (2016-now)
PhD, Northeastern University (2016)
B.Eng, Northeastern University (2009)
Machine Learning and its application in industrial automation.
Tan Huang
Research Fellow (Mar 2019-now)
PhD, Nanyang Technological University, Singapore (2018),
B.Sc, Jinan University, Guangzhou, PRC (2014)
Data Analytics & Machine Learning for Materials Development
Pulkit Chhabra
Research Fellow (October 2018-now)
Ph.D., National University of Singapore (2018)
B.Tech, S.R.M. University, India (2013)
Chemical and Pharmaceutical Process Analytics, Modeling, and Optimization
Zuming Liu
Research Fellow (Jun 2019-now)
PhD, NUS, Singapore (2019),
M.Eng, Tianjin University (2014)
B.Sc, North China Electric Power University (2011)
Energy conversion system design, modeling, and optimization
Lanyu Li
PhD Student, Research Engineer (Oct 2017-now)
M.Sc, NUS (2017)
B.Eng, University of Edinburgh + South China University of Technology (2016)
Sustainable energy systems: design, optimization and life cycle assessment.
Jiali Li
Accelerated Materials Development through deep learning.
Yinan Li
Multi-Scale Smart Energy Systems.
Jie Li
jllj@u.nus.edu
PhD Student (Jan 2019-now)
MEng 2018 Institute of Urban Environment, Chinese Academy of Sciences
Organic waste to biochar: Process design and optimization for energy production and negative carbon emission.
Xi Han
PhD student, co-supervised by Dr Kang Zhou, NUS (2016-now)
B.Eng, Tianjin University (2016)
Prediction of protein properties from sequence using machine learning
Apoorva Katragadda
k.apoorva@u.nus.edu
PhD Student co-supervised by Prof. IA Karimi (Aug 2017- now)
B.Tech, IIT Hyderabad (2017)
Supply chain design and optimization of precision healthcare
Yee Shee Tan
PhD Student (2018-now)
M.Eng, National Cheng Kung University (2012)
B.Eng, National Cheng Kung University (2010)
Water-energy nexus modeling and optimization
Wei Wang
MEng Student (2018-now)
B.Eng, Xiamen University, China (2018)
Design and operation of hybrid urban energy systems.
Integrates control theory and computational modelling with machine learning.
Shukun Wang
Exchange Student (2019-now)
PhD Student (Sep 2017-now), Engineering ThermophysicsMicro-scale organic Rankine cycle (ORC) for low-grade waste heat recovery.Life cycle assessment/Thermo-economic analysis/Carbon footprint evaluation for energy system.
Manu Suvarna
Research Associate, NUS, Singapore (2019 - now)
M.Eng - University of British Columbia, Canada (2012)
Data Scientist, Accenture LLC, India (2018-2019)
Dynamic simulation, process control and machine learning algorithms.
Jieran Yi
Manufacturing and Supply Chain for Personalized Healthcare.
Bowen Feng
FYP Student, July 2018 - now
Research Topic: Development of optimal Food-Energy-Water-Waste (FEW2) Nexus
Kaizhuo Lim
Undergraduate Research Student, December 2017 - now
Machine learning methodologies
