Dr Xiaonan WANG
Positions and full fellowship available for PhD students, postdocs, and visiting scholars.
(65) 6601 6221
4 Engineering Drive 4, E5 03-04, Singapore 117585
Principle Investigator of SSE lab
Department of Chemical and Biomolecular Engineering, NUS
(July 2017 - now)
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
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
PhD, Northeastern University (2018)
B.Eng, Northeast Normal University (2010)
Data Mining, Deep Learning, Reinforcement Learning, and their applications.
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
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
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.
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.
PhD Student (Jan 2018-now)
M.Eng, B.Eng, Imperial College London (2017)
Accelerated Materials Development through deep learning.
PhD Student (Aug 2018-now)
B.Eng, National University of Singapore (2017)
Multi-Scale Smart Energy Systems.
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.
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
PhD Student (Aug 2020-now)
M.Eng, B.Eng, Imperial College London (2019)
AI Applications in Materials Discovery
PhD Student co-supervised by Prof. G.P. Rangaiah (Jan 2021-now)
M.Sc in Information Systems, NTU (2020)
B.Eng, NUS (2016)
Multi-Objective Optimization, Multi-Criteria Decision Making, Machine/Deep Learning in Chemical Engineering
Research Engineer (Aug 2020-now)
M.Sc, NUS (2019-2020)
B.Eng, Northwestern Polytechnical University / NUSRI (2015-2019)
multi-agent reinforcement learning, computer vision
Research Engineer (Sep 2020 - now)
M.Sc, NUS (2020)
Data Analytics & Machine Learning for urban farming and energy load forecast
Master Student, Research Engineer
July 2018 - now
Integrates control theory and computational modelling with machine learning.
Research Engineer (Jan 2021-now)
B.Eng, Shenzhen University/NUSRI (2015-2019)
Macromolecular Materials, Automation Control, Machine Learning
Yun Bin Cho
MEng Student (Aug 2020-now)
B.Eng, NUS (2016-now)
Diplome d'Ingénieur, CentraleSupelec (2018-2020)
Deployment of blockchain technologies to accelerate decarbonization across industries
M.Sc University College London (2019-2020)
B.Sc North China Electric Power University (2014-2018)
Quantitative sustainability and Life cycle assessment
Zhi Ming Tan, Jaswin
M.Eng Student, Research Engineer (Jan 2021 - now)B.Eng, BBA (ACC), NUS (2016 - 2020)
Machine Learning and its applications
MEng Student (Aug 2020-now)
Quality Engineer, LG Chemistry
Jan 2017 - July 2020
B.Eng, KonKuk University
Jan 2011 - Feb 2017
ML and Optimization for Sustainable Energy
M.Eng Student (Jan 2021-now)
B.Eng, Zhejiang University of Technology (2020)
Smart urban energy-water nexus through machine learning
Exchange Student (2019-now)PhD Student (Sep 2017-now), Chongqing University
Life cycle assessment/Thermo-economic analysis/Carbon footprint evaluation for energy system.
FYP Student, July 2018 - now
Research Topic: Development of optimal Food-Energy-Water-Waste (FEW2) Nexus
Undergraduate Research Student, December 2017 - now
Machine learning methodologies
Alumni of SSE
Best luck to your career!
Wee Chin Wong, Postdoc Research Fellow 1/2018 - 07/2018 Currently Assistant Professor at Singapore Institute of Technology
Model predictive control and machine learning methods for continuous pharmaceutical manufacturing.
Pulkit Chhabra, Postdoc, 10/2018 - 12/2019 Currently working as a data scientist at Insilico Biotechnology AGSenSING
Chemical and Pharmaceutical Process Analytics, Modeling, and Optimization.
Xi Han, PhD Student, co-supervised by Dr Kang Zhou, NUS 2016-2020 Currently working as a data scientist at OVO (PT Visionet Internasional)
Prediction of protein properties from sequence using machine learning
Scarlett Chen Visiting Research Assistant, 08-09, 2017 Currently PhD student at UCLA
Model predictive control of fuel cell systems within hybrid renewable energy and hydrogen generation.
Tianyu Ren FYP Student, 12/2017 - 07/2018
Machine learning for patients’ demand forecasting and precision healthcare supply chain management.
Qing Yu Chong FYP Student, 1/2018 - 07/2018 Currently working at ExxonMobil Asia Pacific Pte Ltd
Design and optimization of hybrid distributed energy systems in Singapore.
Dao Truong Giang, UROP Student, 1/2018 - 12/2018 Currently Software Engineer at AlphaLab Capital
Machine learning methodologies www.github.com/heiseish
Chi-Hung Ho, M.Eng Student, 7/2017 - 7/2018 Currently consultant at SIGMAXYZ Inc. in Japan
Biocatalytic continuous manufacturing of diabetes drug: plantwide process modeling, optimization, environmental and economic analysis
Jieran Yi, UROP Student, 12/2017 - 7/2018 Currently studying at NUS
Daniel Tian, B.Eng Student, 12/2017 - 7/2018 Currently working as a data scientist at SenSING
Data-driven modelling and AI enhanced decision making in urban energy systems.
Xinzhe Zhu, Postdoc, 10/2018 - 12/2019 Currently working as a researcher at HK PolyU
Prediction of biochar properties from biomass/ Machine Learning in Materials.
Wei Wang, Master Student, 08/2018 - 01/2020 Currently working at Sinopec, China
Design and operation of hybrid urban energy systems.
Sean Low, Research Apprentice, 07/2020 - 12/2020 Currently working as Software Engineer at Novelship
Machine Learning and Optimization.
Eugene Chua, Research Apprentice, 07/2020 - 12/2020 Currently working at Micron
Please feel free to get in touch
Please feel free to reach out for any collaboration, research and education interest.
Scopus Author ID: 56166894600ResearcherID: T-1102-2017