Research Output per year
Research Output per year
Organization profile
Profile Information
This new Centre operates at the intersection of two ASRIs: Artificial Intelligence and Mental Health. Its scope is to apply AI methods - machine learning, reasoning, knowledge graphs - to various mental health diseases. The initial set of diseases include ADHD, autism and suicide prevention, but is expected to be expanded in the course of the Centre’s operation.
Goals
- To carry out internationally outstanding research in AI for mental health.
- To create a team of research active staff with a common interest in AI for mental health.
- To provide support for existing staff and to build capacity in areas of strategic research importance.
- To produce high quality publications.
- To improve the standard of publications produced by staff and to broaden the scope of publication options.
- To secure high profile research grants.
- To increase international links with world class universities.
- To attract high calibre research students.
- To identify the needs of end users and to develop innovative, multi-disciplinary solutions to those needs.
- To produce research that impacts on policy and practice.
- To disseminate research beyond academia.
Fingerprint
Dive into the research topics where Centre of Artificial Intelligence for Mental Health is active. These topic labels come from the works of this organisation's members. Together they form a unique fingerprint.
Network
Recent external collaboration on country level. Dive into details by clicking on the dots.
Profiles
-
George Bargiannis
- Department of Computer Science - Subject Area Leader (CIS)
- School of Computing and Engineering
- Centre for Planning, Autonomy and Representation of Knowledge - Member
- Centre of Artificial Intelligence for Mental Health - Member
Person: Academic
-
Sotirios Batsakis
- Department of Computer Science - Senior Research Fellow
- School of Computing and Engineering
- Centre for Planning, Autonomy and Representation of Knowledge - Member
- Centre of Artificial Intelligence for Mental Health - Member
Person: Academic
Research Output
-
A Decision Tree-initialised Neuro-fuzzy Approach for Clinical Decision Support
Chen, T., Shang, C., Su, P., Keravnou-Papailiou, E., Zhao, Y., Antoniou, G. & Shen, Q., 1 Jan 2021, In: Artificial Intelligence in Medicine. 111, 13 p., 101986.Research output: Contribution to journal › Article › peer-review
-
A Centralised Framework for Maximising the Utilisation of Urban Road Networks by Leveraging on Connected Vehicles
Vallati, M. & Saigol, Z., 14 Apr 2020, (Accepted/In press) Proceedings of the 27th Intelligent Transportation Systems World Congress (ITS 2020). 18056Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
-
A Density and Reliability Guided Aggregation for the Assessment of Vessels and Nerve Fibres Tortuosity
Su, P., Chen, T., Xie, J., Ma, B., Qi, H., Liu, J. & Zhao, Y., 10 Aug 2020, In: IEEE Access. 8, p. 139199-139211 13 p., 9123336.Research output: Contribution to journal › Article › peer-review
Open Access