Antonios Papaoikonomou

Antonios Papaoikonomou

MSc Applied Machine Learning @ Imperial | ML/SW Engineer

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Posts

projects

Pop n’ Win

Published:

Android app that won the Vodafone/EESTEC “It’s APP to you” hackathon

Tennis Serve Predictor

Published:

Designed and built a Machine Learning system capable of predicting tennis service results, using custom-built hardware

RoboLecturer

Published:

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

publications

Deep learning techniques for in-core perturbation identification and localization of time-series nuclear plant measurements

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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Incentivising Participation with Exclusionary Sanctions

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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