
About
Ed Wakelam is a researcher at the University of Hertfordshire, affiliated with the School of Physics, Engineering & Computer Science and the Department of Computer Science. He is a member of the Biocomputation Research Group and holds a PhD in Computer Science. His work focuses on applying Artificial Intelligence and Machine Learning to learning analytics and performance prediction in sports and corporate training.
Research interests include Artificial Intelligence and Machine Learning in Technology Enhanced Learning, particularly for adaptive systems in small-class education and elite football recruitment. He emphasizes the integration of character traits and novel data in predictive models, leveraging advancements in data availability and computational power.
His recent publications highlight trends in
- Systematic reviews of footballer attributes
- Machine Learning applications in sports analytics
- Predictive modeling for education with limited data
- Agent-based software evolution simulations
- Analysis of mixed data types in learning systems
Ed Wakelam has no documented scientific awards and maintains an active role in research and consultancy through Habilitas Analytics, an independent analytics firm for elite sports organizations.
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