Research output per year
Research output per year
Organization profile
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.
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. Our work contributes towards the following SDG(s):
Fingerprint
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
Profiles
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Grigoris Antoniou
- Department of Computer Science - Professor
- School of Computing and Engineering
- Centre for Planning, Autonomy and Representation of Knowledge - Member
- Centre of Artificial Intelligence for Mental Health - Member
- Sustainable Living Research Centre - Advisory Committee Member
Person: Academic
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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
- Northern Productivity Hub - Associate Member
Person: Academic
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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
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A Case Study of Diabetes Diagnosis Using a Neuro-Fuzzy System
Russell, R., Chen, T. & Hill, R., 26 Oct 2022, Artificial Intelligence in Healthcare: Recent Applications and Developments. Chen, T., Carter, J., Mahmud, M. & Singh Khuman, A. (eds.). Springer Singapore, p. 277-298 22 p. (Brain Informatics and Health).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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A Case Study of Using Machine Learning Techniques for COVID-19 Diagnosis
Dinacci, M., Chen, T., Mahmud, M. & Parkinson, S., 26 Oct 2022, Artificial Intelligence in Healthcare: Recent Applications and Developments. Chen, T., Carter, J., Mahmud, M. & Singh Khuman, A. (eds.). Springer Singapore, p. 201-213 13 p. (Brain Informatics and Health).Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review
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A dominant set-informed interpretable fuzzy system for automated diagnosis of dementia
Chen, T., Su, P., Shen, Y., Chen, L., Mahmud, M., Zhao, Y. & Antoniou, G., 1 Aug 2022, In: Frontiers in Neuroscience. 16, 18 p., 867664.Research output: Contribution to journal › Article › peer-review
Open Access
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Development of A Convolutional Neural Network Architecture for Production Based Photovoltaic Fault Detection
Muhammad Hussain (Speaker), Tianhua Chen (Speaker), Sofya Titarenko (Contributor to Paper or Presentation), Richard Hill (Contributor to Paper or Presentation) & Hussain Al-Aqrabi (Contributor to Paper or Presentation)
9 Sep 2022Activity: Talk or presentation types › Oral presentation
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Predictions for COVID-19 Transmission Trend with Probabilistic FastText model
Siyue Song (Speaker), Tianhua Chen (Contributor to Paper or Presentation), Sean Knox (Speaker) & Grigoris Antoniou (Speaker)
16 Jun 2022Activity: Talk or presentation types › Oral presentation
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Approximate Reasoning with Fuzzy Rule-based Systems Supported by Transformation-based Interpolative Reasoning
Tianhua Chen (Keynote speaker)
26 Dec 2021Activity: Talk or presentation types › Invited talk
Press / Media
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A New Approach for Transformation Based Fuzzy Rule Interpolation
1/05/21
1 Media contribution
Press/Media: Research
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