Cognitive and Federated Digital Twins

There has been a recent explosion of interest in digital twins, namely data driven virtual replicas that can provide insights about a physical system and support decision making. This project endeavours to investigate and develop architectures for Cognitive Digital Twins, namely twins of intelligent systems that can exhibit a high level of intelligence. The project:

  • Develops a reference architecture and a system implementation of Intelligent Digital Twins for Intelligent Systems
  • Investigates the concept of Federated Digital Twins and explores architectures and cooperation algorithms



  • C. Vergara, R. Bahsoon, G. Theodoropoulos, W. Yanez and N. Tziritas, "Federated Digital Twins," 2023 IEEE/ACM 27th International Symposium on Distributed Simulation and Real Time Applications (DS-RT), Singapore, Singapore, 2023, pp. 115-116, doi: 10.1109/DS-RT58998.2023.00027
  • Nan Zhang, Rami Bahsoon, Nikos Tziritas, Georgios Theodoropoulos "Knowledge Equivalence in Digital Twins of Intelligent Systems", submitted to ACM TOMACS,  arXiv:2204.07481
  • Nan Zhang, Rami Bahsoon, Nikos Tziritas , Georgios Theodoropoulos, “Explainable Human-in-the-loop Dynamic Data-Driven Digital Twins”, DDDAS2022 Conference, MIT, USA, October 6-10, 2022, preprint arXiv:2207.09106
  • N. Zhang, R. Bahsoon and G. Theodoropoulos, "Towards Engineering Cognitive Digital Twins with Self-Awareness," 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC), 2020, pp. 3891-3891, DOI: 10.1109/SMC42975.2020.9283357.