Photo of Michaela Black
  • Cromore Road, Coleraine Campus

    BT52 1SA Coleraine

    United Kingdom

  • 364 Citations
  • 7 h-Index
20042019
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Personal profile

Biography

Michaela has a BSc (Hons) in Computing Science, DPhil in the area of Machine Learning with British Telecom with a Patent posted: Rationalization of data used in model of time varying event behaviour (US 7024426 B2) & Data rationalisation (US 20020183999 A1). Michaela has published around 50 publications including book chapters, journals and conferences. Her research covers Artificial Intelligence, Machine Learning, Data Mining, Big Data, Telecoms, Education, Health, Gamification, Games and User Profiling.She is PI on newly awarded PM18 Big data for Supporting Public Health Policies - MIDAS (Meaningful Integration of Data, Analytics and Services) project of €4.5million, and is grant holder of an international consortium who have been awarded €3.6million Horizon 2020 project PH27 PCP project – MAGIC – Mobile Assistance for Groups and Individuals in the Community and.  Within her research she has supervised and successfully completed PhD studentships including Handling Latency for Online Learning with Concept Drift, and has given several invited talks on Big Data and presented to the range of conferences and workshops. Her consultancy work ranges from Horizon2020 applications, SBRi Gamification of Medicines, to InterTradeIreland FUSION projects.Michaela is involved in a number of regional, national and international Connected Health research projects with particular expertise in Mobile Technology for Health, Gamification and Adaptive AI. As Head of School for School Michaela delivers a strong focus on teaching and developing a strong Research-teaching Nexus, Professional skills, Employability and Entrepreneurship. Her excellence in Teaching has been recognised by his being awarded a Distinguished Teaching Fellowship in 2016.

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Research Output 2004 2019

A Framework for the Development of a Dynamic Adaptive Intelligent User Interface to Enhance the User Experience

Johnston, V., Black, M., Wallace, J. G., Mulvenna, M. & Bond, RR., 10 Sep 2019, ECCE 2019 - Proceedings of the 31st European Conference on Cognitive Ergonomics: ''Design for Cognition''. Mulvenna, M. & Bond, R. (eds.). New York, NY, USA, p. 32-35 4 p. (ICPS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

User interfaces
Learning algorithms
Learning systems
Pipelines

Meaningful Integration of Data, Analytics and Services of Computer-Based Medical Systems: The MIDAS Touch

Black, M., Rankin, D., Wallace, J. G., Bond, RR., Mulvenna, M., Cleland, B., Carlin, P., Fischaber, S., Epelde, G., Nikolic, G., Pajula, J. & Connolly, R., 27 Mar 2019, (Accepted/In press) 32nd IEEE CBMS International Symposium on Computer-Based Medical Systems.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Health
Big data

Usability Evaluation of a Co-created Big Data Analytics Platform for Health Policy-Making

Cleland, B., Wallace, J. G., Bond, RR., Muurais, S., Pajula, J., Epelde, G., Arrúec, M., Álvarez, R., Black, M., Mulvenna, M., Rankin, D. & Carlin, P., 28 Jun 2019, Human Interface and the Management of Information. Visual Information and Knowledge Management - Thematic Area, HIMI 2019, Held as Part of the 21st HCI International Conference, HCII 2019, Proceedings: Visual Information and Knowledge Management. HCII 2019. Yamamoto, S. & Mori, H. (eds.). Vol. 11569. p. 194-207 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11569 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Usability Evaluation
Health
Testing
Evaluation Method
Decision making
3 Citations (Scopus)

Insights into Antidepressant Prescribing Using Open Health Data

Cleland, B., Wallace, J., Bond, RR., Black, M., Mulvenna, M., Rankin, D. & Tanney, A., Jul 2018, In : Big Data Research. 12, p. 41-48

Research output: Contribution to journalArticle

Open Access
disease prevalence
health policy
mental health
health care
health

Machine learning using synthetic and real data: Similarity of evaluation metrics for different healthcare datasets and for different algorithms

Heyburn, R., Bond, RR., Black, M., Mulvenna, M., Wallace, J. G., Rankin, D. & Cleland, B., 24 Aug 2018, Data Science and Knowledge Engineering for Sensing Decision Support. Vol. 11. p. 1281-1291 11 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Open Access
File
Learning systems
Experiments

Prizes

Collaborative Award for Teaching Excellence 2017 Finalist

Roisin Curran (Recipient), Michaela Black (Recipient), Hazel Bruce (Recipient), Grainne Dooher (Recipient), Alison Gault (Recipient), Avril Honan (Recipient), Michaela Keenan (Recipient), Ian Montgomery (Recipient), Claire Mc Cann (Recipient), Aine Mc Killop (Recipient), Terry Quigley (Recipient) & Amanda Zacharopoulou (Recipient), 31 Aug 2017

Prize

File
Teaching
teamwork
learning
education
student