Member
Audrey Ekuban
Research Assistant
Having started my KMi journey as part of the Institute of Coding project, in which I explored how the Learning Analytics Dashboard of the Open University (OUAnalyse) could be deployed in different educational institutions, I am now part of the DEL4ALL project. I started my P/T PhD at KMi in February 2020, researching the role that emerging privacy-preserving Machine Learning techniques can play in creating privacy-by-design and ethics-by-design Learning Analytics systems.
Keys: Data Science, Learning Analytics, Machine Learning, Data Mining, Natural Language Processing, Computer Vision, Deep Learning
News
07 Jul 2021
07 Oct 2020
14 Nov 2019
Publications
Ekuban, A. and Domingue, J. (2023) Towards Decentralised Learning Analytics (Positioning Paper), WWW '23 Companion, Austin, TX, USA
Haleem, M., Ekuban, A., Antonini, A., Pagliara, S., Pecchia, L. and Allocca, C. (2023) Deep-Learning-Driven Techniques for Real-Time Multimodal Health and Physical Data Synthesis, Electronics, 12, pp. 1989, MDPI
Ekuban, A. (2021) EMPRESS: Privacy-preserving decentralised educational analytics with student self-sovereignty
Ekuban, A., Mikroyannidis, A., Third, A. and Domingue, J. (2020) Using GitLab Interactions To Predict Student Success When Working As Part Of A Team, 23rd International Conference on Interactive Collaborative Learning (ICL 2020), Tallinn, Estonia