Research output per year
Research output per year
Personal profile
Biography
Mark Donnelly is a Senior Lecturer with the School of Computing at Ulster University. He holds both a BSc (Hons) and PhD in Computer Science and is a Fellow of the Higher Education Academy. He has co-authored over 130 publications in areas surrounding Data Mining, Digital Health, Human Activity Recognotion, and Pervasive and Mobile Computing. He has been Co-Investigator on more than 15 multidisciplinary projects including those funded by RCUK EPSRC, EU AAL and LLP, H2020, NIHSC R&D, and InvestNI. As Principal-Investigator, he has led on the EPSRC funded BMAC project, Big Lottery UK LIFEPAL project and the EU-FP7 MICHELANGELO project.
Since 2019, Mark has been the Course Director for BSc (Hons) Computing Systems. He also teaches a range of topics including Python Programming and Robotic Process Automation.
Expertise related to 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. This person’s work contributes towards the following SDG(s):
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Collaborations and top research areas from the last five years
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Detecting process duration drift using gamma mixture models in a left-truncated and right-censored environment
Yang, L., McClean, S., Donnelly, M., Khan, K. & Burke, K., 12 Jun 2024, In: ACM Transactions on Knowledge Discovery from Data. 18, 8, p. 1-24 24 p., 195.Research output: Contribution to journal › Article › peer-review
Open AccessFile2 Citations (Scopus)34 Downloads (Pure) -
Heart Rate Variability Biofeedback to Reduce Anxiety in Autism Spectrum Disorder -a mini review
Coulter, H., Donnelly, M., Yakkundi, A., McAneney, H., Barr, O. & Kernohan, W. G., 13 Jun 2024, (Published online) In: Frontiers in Psychiatry. 15, p. 1-9 10 p., 1409173.Research output: Contribution to journal › Review article › peer-review
Open AccessFile21 Downloads (Pure) -
Integrated Approach Using Intuitionistic Fuzzy Multicriteria Decision-Making to Support Classifier Selection for Technology Adoption in Patients with Parkinson Disease: Algorithm Development and Validation
Ortiz-Barrios, M., Cleland, I., Donnelly, M., Gul, M., Yucesan, M., Jiménez-Delgado, G., Nugent, C. & Madrid-Sierra, S., 22 Oct 2024, In: JMIR Rehabilitation and Assistive Technologies. 11, p. 1-38Research output: Contribution to journal › Article › peer-review
Open AccessFile4 Downloads (Pure) -
What works, how and in which contexts when supporting parents to implement intensive speech and language therapy at home for children with speech sound disorder? A protocol for a realist review
Leafe, N., Pagnamenta, E., Taggart, L., Donnelly, M., Hassiotis, A. & Titterington, J., 31 Jan 2024, In: BMJ Open. 14, 1, p. 1-8 8 p., e074272.Research output: Contribution to journal › Article › peer-review
Open AccessFile25 Downloads (Pure) -
Understanding User Acceptance, Inclusion, and the Societal Impact of Digital Health Technologies
Quinn, S., Bond, R., Donnelly, M., Davey, S., Boyd, K., McLaughlin, J. & Finlay, D., 30 Jan 2023, p. 30-31.Research output: Contribution to conference › Abstract › peer-review
Open Access
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Remote Intervention to reduce Anxiety in People with Autistic Spectrum Disorder using Heart Rate Variability Biofeedback and Ecological Momentary Assessment
Coulter, H. (Data Collector), Kernohan, G. (Contributor), Donnelly, M. (Contributor) & Mallett, J. (Creator), Frontiers Media S.A., 19 Oct 2020
DOI: 10.21251/be649dfc-6464-41f3-9364-8a28cc9d3101
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