Cyber-Physical Systems

Linked Data

Chemical engineering and engineering in general is changing rapidly in the 21st century. The Internet of Things and its industrial equivalent Industry 4.0 are notions frequently used to describe this change. We are applying and developing new techniques in the area of Artificial Intelligence, Semantic Web, Machine Learning, Big Data, Blockchain technology, and Statistics to create a cyber-physical system offering new ways to solve classical engineering problems like process optimisation, reduction of CO2, implementation of Smart Grid, and many others.

Smart Grid

The cyber-physical system we are currently developing is called J-Park Simulator (JPS) which is the signature project in the C4T programme of CARES at the University of Cambridge. The JPS consists of a network of IRIs comprising domain ontologies, a knowledge base and different types of agents. One important application is the modelling and optimisation of eco-industrial parks. This includes the electrical grid, various networks of materials, for example, waste heat network along with a detailed model of each industrial process.


This research is supported by the National Research Foundation (NRF), Prime Minister's Office, Singapore under its Campus for Research Excellence and Technological Enterprise (CREATE) programme.

Recent Associated Preprints

223: An ontology and semantic web service for quantum chemistry calculations

ref: Technical Report 223, c4e-Preprint Series, Cambridge, 2019 by Nenad Krdzavac, Sebastian Mosbach, Daniel Nurkowski, Philipp Buerger, Jethro Akroyd, Jacob W. Martin, Angiras Menon, and Markus Kraft

222: J-Park Simulator: An ontology-based platform for cross-domain scenarios in process industry

ref: Technical Report 222, c4e-Preprint Series, Cambridge, 2019 by Andreas Eibeck, Mei Qi Lim, and Markus Kraft

221: Optimal Site Selection for Modular Nuclear Power Plants

ref: Technical Report 221, c4e-Preprint Series, Cambridge, 2019 by Aravind Devanand, Iftekhar A. Karimi, and Markus Kraft