Pop n’ Win
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Android app that won the Vodafone/EESTEC “It’s APP to you” hackathon
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Android app that won the Vodafone/EESTEC “It’s APP to you” hackathon
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Classified genres and emotions in songs using Deep Learning
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Data Analysis of drivers performance from telemetry using Python
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Designed and built a Machine Learning system capable of predicting tennis service results, using custom-built hardware
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Designed a human-like robotic system capable of giving interactive lectures by utilising LLMs for slide and script generation, DNNs for speech synthesis (TTS) and recognition (STT) and Computer Vision
Published in Annals of Nuclear Energy, 2022
Recommended citation: Papaoikonomou, A., Wingate, J., Verma, V., Durrant, A. M., Ioannou, G., Papagiannis, T., Yu, M., Alexandridis, G., Dokhane, A., Leontidis, G., Kollias, S., & Stafylopatis, A. (2022). Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements. Annals of Nuclear Energy, 178, [109373]. https://doi.org/10.1016/j.anucene.2022.109373
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Published in International Workshop on Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems, 2023
Recommended citation: Blackledge, B. et al. (2023). Incentivising Participation with Exclusionary Sanctions (Full). In: Fornara, N., Cheriyan, J., Mertzani, A. (eds) Coordination, Organizations, Institutions, Norms, and Ethics for Governance of Multi-Agent Systems XVI. COINE 2023. Lecture Notes in Computer Science(), vol 14002. Springer, Cham. https://doi.org/10.1007/978-3-031-49133-7_3
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