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Filippos Panagiotou
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Filippos began his studies at the University of Cyprus, from where he received a bachelors in Psychology. He founded two student clubs and was the president of the Central Committee of the student clubs of the university. He then moved to the Netherlands, where he received two masters degrees from Radboud University. One in Cognitive Neuroscience with a focus on computation, and another in Artificial intelligence with a focus on information processing in neural systems.
Filippos then worked in the Computational Neuroscience and then at the Machine Learning lab, in Ruhr University Bochum and University of Oldenburg respectively. Filippos' research has resulted in a publication in the European Conference of Machine Learning (discrete variational autoencoders, image denoising), and an extended abstract accepted in the Computational and Systems Neuroscience 2025 (early visual cortex, generative AI, free energy, bayesian brain). Filippos is always happy to talk about neural networks, probabilistic machine learning, and cognitive computational neuroscience.
As a PhD student at the Cyprus Institute Graduate School, Filippos is working on the concept of hierarchical modularity. Every complex system can be broken down in constituting parts, and Filippos is aiming to clarify our understanding of how the small parts organize to create more meaningful parts (explainability, re-usability, green AI, AI fairness)
