Profile
Mei Qi LIM
Research Project Manager
Mei Qi is a Research Project Manager at CARES. She obtained her B.S. in Chemical Engineering from the National University of Singapore in 2010 and subsequently worked as a Process Engineer in Engineering, Procurement, and Construction (EPC) companies before joining CARES in 2016.
Mei Qi has managed multiple projects at CARES, including the J-Park Simulator, also known as The World Avatar (C4T programme), and the Pharma Innovation Programme Singapore (PIPS) projects. Her work has encompassed the development of ontologies to represent laboratory equipment and processes, efforts towards laboratory automation, and the integration of sensor measurement data for modelling purposes. A key aspect of her role involves working closely with both technical teams and non-technical stakeholders to ensure alignment with project requirements.
She is currently a Research Project Manager with the C4T programme and a Scientific Programme Coordinator on the HD4 programme.
Read: CARES C4T demonstrates J-Park Simulator, the next generation modelling tool for eco-industrial parks at the "Science is Great" event hosted at the British High Commission
Singapore - CARES
Researchers
C4T extended projects
Research Interest
Mei Qi's main research interest is in process modelling
Key Publications
ResearchGate Profile
Devanand, Aravind, et al. “ElChemo: A Cross-Domain Interoperability between Chemical and Electrical Systems in a Plant.” Computers & Chemical Engineering, 2022, p. 107556, https://doi.org/10.1016/j.compchemeng.2021.107556.
Chadzynski, Arkadiusz, et al. “Semantic 3D City Database — An Enabler for a Dynamic Geospatial Knowledge Graph.” Energy and AI, vol. 6, 2021, p. 100106, https://doi.org/10.1016/j.egyai.2021.100106.
Atherton, John, et al. “How Does a Carbon Tax Affect Britain’s Power Generation Composition?” Applied Energy, vol. 298, Sept. 2021, p. 117117, https://doi.org/10.1016/j.apenergy.2021.117117.
Pan, Kang, et al. “Development of a Moving Point Source Model for Shipping Emission Dispersion Modeling in EPISODE–CityChem v1.3.” Geoscientific Model Development, vol. 14, no. 7, July 2021, pp. 4509–34, https://doi.org/10.5194/gmd-14-4509-2021.
Liu, Zuming, et al. “Game Theory-Based Renewable Multi-Energy System Design and Subsidy Strategy Optimization.” Advances in Applied Energy, May 2021, p. 100024, https://doi.org/10.1016/j.adapen.2021.100024.
Farazi, Feroz, et al. “Knowledge Graph Approach to Combustion Chemistry and Interoperability.” ACS Omega, vol. 5, no. 29, July 2020, pp. 18342–48, https://doi.org/10.1021/acsomega.0c02055.
Zhou, Xiaochi, Mei Qi Lim, et al. “A Smart Contract-Based Agent Marketplace for the J-Park Simulator - a Knowledge Graph for the Process Industry.” Computers & Chemical Engineering, vol. 139, Aug. 2020, p. 106896, https://doi.org/10.1016/j.compchemeng.2020.106896.
Eibeck, Andreas, et al. “J-Park Simulator: An Ontology-Based Platform for Cross-Domain Scenarios in Process Industry.” Computers & Chemical Engineering, vol. 131, Dec. 2019, p. 106586, https://doi.org/10.1016/j.compchemeng.2019.106586.
Zhou, Xiaochi, Andreas Eibeck, et al. “An Agent Composition Framework for the J-Park Simulator - A Knowledge Graph for the Process Industry.” Computers & Chemical Engineering, vol. 130, Nov. 2019, p. 106577, https://doi.org/10.1016/j.compchemeng.2019.106577.