Kok Foong Lee

Research Student

Photo of Kok Foong Lee

Biography

Before joining the CoMo group, I obtained my M.Eng. degree in Chemical Engineering from the University of Birmingham. My current research interests are the development of efficient stochastic particle methods and the application of population balance model for wet granulation process.

Research Themes

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Recent Preprints

320: Fostering Urban Resilience and Accessibility in Cities: A Dynamic Knowledge Graph Approach

Shin Zert Phua, Markus Hofmeister, Yi-Kai Tsai, Oisín Peppard, Kok Foong Lee, Seán Courtney, Sebastian Mosbach, Jethro Akroyd, and Markus Kraft, Technical Report 320, c4e-Preprint Series, Cambridge, 2024.

319: Dynamic Control of District Heating Networks with Integrated Emission Modelling: A Dynamic Knowledge Graph Approach

Markus Hofmeister, Kok Foong Lee, Yi-Kai Tsai, Magnus Müller, Karthik Nagarajan, Sebastian Mosbach, Jethro Akroyd, and Markus Kraft, Technical Report 319, c4e-Preprint Series, Cambridge, 2024.

310: From Platform to Knowledge Graph: Distributed Self-Driving Laboratories

Jiaru Bai, Sebastian Mosbach, Connor J. Taylor, Dogancan Karan, Kok Foong Lee, Simon D. Rihm, Jethro Akroyd, Alexei A. Lapkin, and Markus Kraft, Technical Report 310, c4e-Preprint Series, Cambridge, 2023.

309: Semantic Agent Framework for Automated Flood Assessment Using Dynamic Knowledge Graphs

Markus Hofmeister, Jiaru Bai, George Brownbridge, Sebastian Mosbach, Kok Foong Lee, Feroz Farazi, Michael Hillman, Mehal Agarwal, Srishti Ganguly, Jethro Akroyd, and Markus Kraft, Technical Report 309, c4e-Preprint Series, Cambridge, 2023.

Contact Details


Telephone: +44 (0)1223 762784
Address: Department of Chemical Engineering and Biotechnology
University of Cambridge
West Cambridge Site
Philippa Fawcett Drive
Cambridge CB3 0AS
United Kingdom