Fundamentals

An abstract background

Fundamental research into the principles, methodologies and efficient algorithms for Autonomous Learning Systems, different aspects of Computational Intelligence, including Artificial Neural Networks, Deep Learning, Dynamically Evolving Fuzzy rule-based Systems is the focus of interests of this Theme.

Theme Leaders

Richard Jiang

Dr Richard Jiang

Senior Lecturer

Artificial Intelligence, Centre of Excellence in Environmental Data Science, Digital Health Group, DSI - Foundations, Lancaster Intelligent, Robotic and Autonomous Systems Centre, LIRA - Fundamentals, LIRA - Smart Cities and Mobility, SCC (Data Science)

+44 (0)1524 510519 B44, B - Floor, InfoLab21
Ziwei Wang

Dr Ziwei Wang

Lecturer in Robotics

Lancaster Intelligent, Robotic and Autonomous Systems Centre, LIRA - Advanced Manufacturing, LIRA - Extreme Environments, Robotics and Control

D11, D - Floor, Engineering Building

Members

Loading People

Publications

View Publications

Projects

View Projects


01/10/2022 → 30/09/2027
Research


01/10/2022 → 30/09/2025
Research


01/06/2022 → 31/05/2026
Research


01/02/2022 → 01/12/2024
Research


01/02/2022 → 01/12/2024
Research


01/11/2021 → 31/10/2022
Research


11/10/2021 → 27/03/2022
Research


11/10/2021 → 27/03/2022
Research


01/10/2021 → 30/09/2024
Research


01/09/2021 → 31/08/2022
Research


01/06/2021 → 31/05/2026
Research


01/05/2021 → 31/08/2021
Research


08/04/2021 → 07/01/2026
Research


01/04/2021 → 31/10/2024
Research


01/03/2021 → 30/09/2024
Research


01/03/2021 → 31/05/2021
Research


01/03/2021 → 31/03/2023
Research


01/11/2020 → 01/11/2022
Research


01/11/2020 → 30/04/2021
Research


01/11/2020 → 31/10/2024
Research


01/10/2020 → 30/09/2023
Research


01/09/2020 → 31/12/2024
Research


01/09/2020 → 31/08/2024
Research


25/08/2020 → 31/03/2021
Research


01/04/2020 → 31/03/2021
Research


31/01/2020 → 16/09/2024
Research


31/01/2020 → 30/04/2025
Research


01/01/2020 → 31/12/2022
Research


01/12/2019 → 30/11/2020
Research


01/12/2019 → 30/11/2020
Research


15/11/2019 → 14/05/2021
Research


01/10/2019 → 30/09/2021
Research


01/10/2019 → 31/03/2020
Research


01/10/2019 → 31/12/2021
Research


01/10/2019 → 31/03/2023
Research


01/10/2019 → 30/09/2023
Research


02/09/2019 → 14/08/2020
Research


01/07/2019 → 30/09/2020
Research


01/05/2019 → 30/09/2019
Research


01/04/2019 → 31/03/2020
Research


18/03/2019 → 30/04/2022
Research


01/03/2019 → 31/05/2021
Research


01/01/2019 → 31/12/2019
Research


01/01/2019 → 31/12/2024
Research