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个人简介
I am a PhD student in Computer Science at the University of Cambridge, where I am advised by Prof. Cecilia Mascolo. I work in the fields of representation learning, high-dimensional sensor timeseries, and large-scale population studies.
In plain words, I develop computational models using observational data from connected devices (smartwatches, phones etc) in order to understand and predict human behaviour and health. My research is supported by Jesus College, Cambridge and the EPSRC.
Previously, during my studies I had the chance to work at multinational telcos (Telefonica R&D), internet startups (Qustodio), retail tech companies (Ocado), and research labs (CERTH). Before that, I studied Computer Science and AI in Greece.
In plain words, I develop computational models using observational data from connected devices (smartwatches, phones etc) in order to understand and predict human behaviour and health. My research is supported by Jesus College, Cambridge and the EPSRC.
Previously, during my studies I had the chance to work at multinational telcos (Telefonica R&D), internet startups (Qustodio), retail tech companies (Ocado), and research labs (CERTH). Before that, I studied Computer Science and AI in Greece.
研究兴趣
论文共 60 篇作者统计合作学者相似作者
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Julia Romero,Andrea Ferlini,Dimitris Spathis,Ting Dang, Katayoun Farrahi,Fahim Kawsar,Alessandro Montanari
Workshop on Mobile Computing Systems and Applicationspp.99-106, (2024)
Web Search and Data Miningpp.152-160, (2024)
Dimitris Spathis,Aaqib Saeed, Ali Etemad, Sana Tonekaboni,Stefanos Laskaridis,Shohreh Deldari,Chi Ian Tang, Patrick Schwab, Shyam Tailor
arxiv(2024)
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Stefan Hegselmann,Helen Zhou,Yuyin Zhou, Jennifer Chien, Shivashankar H. Nagaraj, Neha Hulkund, Shreyas Bhave,Michael Oberst, Anil Pai, Caleb Ellington, Wisdom Ikezogwo, Jason Dou,
Zenodo (CERN European Organization for Nuclear Research) (2023)
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UbiComp/ISWC '23 Adjunct: Adjunct Proceedings of the 2023 ACM International Joint Conference on Pervasive and Ubiquitous Computing & the 2023 ACM International Symposium on Wearable Computing (2023): 777-783
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