Research output per year
Research output per year
Personal profile
Education/Academic qualification
Computing Science, Ph.D., University of Newcastle
1971 → 1976
Award Date: May 31 1977
Computer Science, M.Sc., University of Newcastle
1971 → 1976
Award Date: May 31 1972
Mathematics, B.Sc., School of Mathematical and Physical Sciences, University of Sussex, Falmer
1966 → 1969
Award Date: Jun 15 1969
Keywords
- QA75 Electronic computers. Computer science
- Operating Systems
- Networks
- Distributed Systems
- QA76 Computer software
- Health Data Analytics
- Machine Learning
- Object-oriented systems
- Computer Security
- Network Protocols
- Big Data
- Cloud Computing
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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Network
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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Identifying and predicting amyotrophic lateral sclerosis clinical subgroups: a population-based machine-learning study
PARALS consortium & ERRALS consortium, May 2022, In: The Lancet Digital Health. 4, 5, p. e359-e369Research output: Contribution to journal › Article › peer-review
Open Access -
Identifying New COVID-19 Variants from Spike Proteins Using Novelty Detection
Basu, S. & Campbell, R. H., Jun 6 2022, In: Studies in health technology and informatics. 290, p. 694-698 5 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Identifying New COVID-19 Variants from Spike Proteins Using Novelty Detection
Basu, S. & Campbell, R. H., Jun 6 2022, MEDINFO 2021: One World, One Health - Global Partnership for Digital Innovation - Proceedings of the 18th World Congress on Medical and Health Informatics. Otero, P., Scott, P., Martin, S. Z. & Huesing, E. (eds.). IOS Press BV, p. 694-698 5 p. (Studies in Health Technology and Informatics; vol. 290).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Open Access -
Mapping Risk Assessment Strategy for COVID-19 Mobile Apps’ Vulnerabilities
Sharma, T., Dyer, H. A., Campbell, R. H. & Bashir, M., 2022, Intelligent Computing - Proceedings of the 2021 Computing Conference. Arai, K. (ed.). Springer, p. 1082-1096 15 p. (Lecture Notes in Networks and Systems; vol. 283).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Multi-modality machine learning predicting Parkinson’s disease
Makarious, M. B., Leonard, H. L., Vitale, D., Iwaki, H., Sargent, L., Dadu, A., Violich, I., Hutchins, E., Saffo, D., Bandres-Ciga, S., Kim, J. J., Song, Y., Maleknia, M., Bookman, M., Nojopranoto, W., Campbell, R. H., Hashemi, S. H., Botia, J. A., Carter, J. F., Craig, D. W., & 7 others, Dec 2022, In: npj Parkinson's Disease. 8, 1, 35.Research output: Contribution to journal › Article › peer-review
Open Access