Research output per year
Research output per year
Personal profile
Education/Academic qualification
Computing Science, Ph.D., PATH EXPRESSIONS: A Technique for Specifying Process Synchronization, 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.
- 1 Similar Profiles
Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
-
Application of Aligned-UMAP to longitudinal biomedical studies
Dadu, A., Satone, V. K., Kaur, R., Koretsky, M. J., Iwaki, H., Qi, Y. A., Ramos, D. M., Avants, B., Hesterman, J., Gunn, R., Cookson, M. R., Ward, M. E., Singleton, A. B., Campbell, R. H., Nalls, M. A. & Faghri, F., Jun 9 2023, In: Patterns. 4, 6, 100741.Research output: Contribution to journal › Article › peer-review
Open Access -
Detection of Novel COVID-19 Variants with Zero-Shot Learning
Basu, S., Campbell, R. H. & Karahalios, K., 2023, Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023. Institute of Electrical and Electronics Engineers Inc., p. 597-600 4 p. (Proceedings - 2023 IEEE 11th International Conference on Healthcare Informatics, ICHI 2023).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
-
Classifying COVID-19 Variants Based on Genetic Sequences Using Deep Learning Models
Basu, S. & Campbell, R. H., Jul 2022, System Dependability and Analytics: Approaching System Dependability from Data, System and Analytics Perspectives. Wang, L., Pattabiraman, K., Di Martino, C., Athreya, A. & Bagchi, S. (eds.). Springer, p. 347-360 14 p. (Springer Series in Reliability Engineering).Research output: Chapter in Book/Report/Conference proceeding › Chapter
-
Identification and prediction of Parkinson’s disease subtypes and progression using machine learning in two cohorts
Dadu, A., Satone, V., Kaur, R., Hashemi, S. H., Leonard, H., Iwaki, H., Makarious, M. B., Billingsley, K. J., Bandres‐Ciga, S., Sargent, L. J., Noyce, A. J., Daneshmand, A., Blauwendraat, C., Marek, K., Scholz, S. W., Singleton, A. B., Nalls, M. A., Campbell, R. H. & Faghri, F., Dec 2022, In: npj Parkinson's Disease. 8, 1, 172.Research output: Contribution to journal › Article › peer-review
Open Access -
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