I am a researcher within the School of Computing and Communications in the STEM Faculty, working in the field of applied machine learning.
My research interests include:
I’m particularly interested in applying machine learning techniques to domains which are less accessible to brute force, large dataset, modeling, or where the dataset is niche. For example, where the there is a lack of data and the heuristic needs to become more adaptive to a changing or adaptive data environment. Examples of such an environment would be, climate change science where historical data does not necessarily represent current experience, making it difficult to make predictions from the historical data. Alternatively in the healthcare field where patient-centric approaches to healthcare require a more adaptive heuristic approach to deliver more personalised health information back to the clinician.
I’m also interested in the theoretical underpinnings of computation, in particular the implications of the No Free Lunch theorem to NP versus P
This is my ResearchGate profile
Along with my colleague Dr Dhouha Kbaier, we are currently offering the following PhD studentships:
Please get in touch with either one of us, if you're interested
OSC Funded: Game-Theoretic Approaches to Environmental Risk
I'm currently looking to build relationships with NGOs or policy think tanks who are involved in influencing governmental decision-making on or public perceptions of climate change. Please get in touch with me if this is of interest.
HZFM884 I was part of the original team of four academics writing course content for the Open University online course, “Online Teaching: Accessibility and Inclusive Learning”
Prevalence of Health Misinformation on Social Media—Challenges and Mitigation Before, During, and Beyond the COVID-19 Pandemic: Scoping Literature Review (2024-08)
Kbaier, Dhouha; Kane, Annemarie; McJury, Mark and Kenny, Ian
J Med Internet Res, 26(e38786)
Creating ‘a simple conversation’: Designing a conversational user interface to improve the experience of accessing support for study (2023-03)
Iniesto, Francisco; Coughlan, Tim; Lister, Kate; Devine, Peter; Freear, Nicholas D.; Greenwood, Richard; Holmes, Wayne; Kenny, Ian; McLeod, Kevin and Tudor, Ruth
ACM Transactions on Accessible Computing, 16, Article 6(1)
Taylor, The Disability Disclosure Virtual Assistant: A Case Study of Participatory Research with Disabled Students (2021-10)
Lister, Kate; Coughlan, Tim; Kenny, Ian; Tudor, Ruth and Iniesto, Francisco
Education Sciences, 11, Article 587(10)
Hydrographical Flow Modelling of the River Severn Using Particle Swarm Optimization (2020)
Kenny, Ian
The Computer Journal, 63(11) (pp. 1713-1726)
Democratising Research Practices through Community Citizen Science (2024-09-04)
Herodotou, Christothea; Kenny, Ian and Scanlon, Eileen
In : GoodIT '24: International Conference on Information Technology for Social Good (04-06 Sep 2024, Bremen, Germany) (pp. 68-75)
Exploring the Nexus: Public Attitudes towards Climate Change and their Impact on International Environmental Agreement Compliance (2024-06-18)
Kbaier, Dhouha and Kenny, Ian
In : Glasgow Science Festival (1 Jun 2024, Glasgow)
Navigating Commitments: A Two-Country Game Theoretic Model Assessing Citizen Influence on IEA compliance (2024)
Kenny, Ian; Kbaier, Dhouha; Fairchild, Richard and Hinvest, Neal
In : International Conference on Applied Mathematics and Computer Science (ICAMACS - 2024) (11-12 Mar 2024, Manchester, UK)
Charting the Path to Stronger and More Stable International Environmental Agreements: Insights from Mathematical Modelling and Game Theory (2024)
Kbaier, Dhouha; Kenny, Ian; McJury, Mark and Fairchild, Richard
In : IEEE/MTS OCEANS 2024 (14-18 Apr 2024, Singapore)
Rapid Adaptive Climate Change Model: Application of a Probabilistic Centred Approach to the Minas Passage Bay of Fundy datasets (2022-12-19)
Kenny, Ian and Kbaier, Dhouha
In : OCEANS 2022 (17-20 Oct 2022, Hampton Roads, VA, USA)
A novel environmental system-focused empirical mode decomposition analysis: Application to Minas passage (2022)
Kenny, Ian and Kbaier, Dhouha
In : 24th International Conference on Computational Statistics (COMPSTAT 2022) (23-26 Aug 2022, University of Bologna, Italy)
An Evaluation of Performance Enhancements to Particle Swarm Optimisation on Real-World Data (2016-12-14)
Kenny, Ian
PhD thesis The Open University
Adaptive Machine Learning: Pioneering Climate Modelling for a Sustainable Future (2024)
Kenny, Ian and Kbaier, Dhouha
Climate Perspectives, Winter 2023/24
Dynamic, hierarchical particle swarm optimisation (2008-06-26)
Kenny, Ian
Department of Computing, The Open University