Vasileios Papapanagiotou is an Assistant Professor at Karolinska Institutet with nine years of research experience at the intersection of signal processing, machine learning and wearable sensing for behavioral monitoring. He holds a Diploma and PhD in Electrical and Computer Engineering from Aristotle University of Thessaloniki and has contributed to multiple EU-funded projects (FP7, H2020) focused on obesity prevention and digital behavioural informatics. His work translates advanced algorithms into practical sensor-driven systems, bridging theoretical DSP techniques with real-world deployments in mobile and wearable platforms. As a former postdoc and R&D engineer he has a track record of securing and executing collaborative, multidisciplinary research programs across academia and industry. He is an IEEE and EMBS member whose publications demonstrate a sustained focus on quantifying human behaviour from noisy sensor data. Colleagues describe him as a researcher who combines rigorous signal-processing foundations with an eye for translational impact in public health.
9 years of coding experience
6 years of employment as a software developer
Ph.D. Candidate, Digital Signal Processing, Wearable Sensors,Behavioural Informatics, Ph.D. Candidate, Digital Signal Processing, Wearable Sensors,Behavioural Informatics at Aristoteleion Panepistimion Thessalonikis
Contributions:28 commits, 24 pushes, 1 branch in 19 days
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Vasileios Papapanagiotou - Assistant Professor at Karolinska Institutet