Cardiff School of Technologies>Staff Profiles>Babatunde Kazeem Olorisade

Dr Babatunde Kazeem Olorisade

Department: Department of Computer Science

Office/Location: Cardiff School of Technologies, Llandaff Campus

Telephone:  

Email: kolorisade@cardiffmet.ac.uk

Staff Overview

​Babatunde Kazeem Olorisade is a Senior Lecturer in Data Science. His research covers a wide range of interests intersecting data science/machine learning and evidence-based software engineering. Specific area includes text analytics driven methods for (living) systematic reviews and network meta-analysis, ML research reproducibility, trust, privacy and ethics in ML, and IoT/Robotics for SDG.

Teaching

  • Analytics and Business Intelligence
  • Social (Media) Analytics
  • Applied Data Science
  • Computational Intelligence

Research

​Applied Text Analytics/ML, Evidence-Based Software Engineering, Trust, Privacy and Ethics in ML, Research Reproducibility, IoT/Robotics for SDG.

Key Publications

John, A., Okolie, C., Eyles, E., Webb, R.T., Schmidt, L., McGuiness, L.A., Olorisade, B.K., Arensman, E., Hawton, K., Kapur, N. and Moran, P., 2020. The impact of the COVID-19 pandemic on self-harm and suicidal behaviour: a living systematic review. F1000Research, 9(1097), p.1097.

Schmidt, L., Olorisade, B.K., McGuinness, L.A., Thomas, J. and Higgins, J.P., 2020. Data extraction methods for systematic review (semi) automation: A living review protocol. F1000Research, 9.

Olorisade, B.K., Brereton, P. and Andras, P., 2017. Reproducibility of studies on text mining for citation screening in systematic reviews: evaluation and checklist. Journal of biomedical informatics, 73, pp.1-13.

Olorisade, B.K., de Quincey, E., Brereton, P. and Andras, P., 2016, June. A critical analysis of studies that address the use of text mining for citation screening in systematic reviews. In Proceedings of the 20th international conference on evaluation and assessment in software engineering (pp. 1-11).

Other Projects and activities

External Links