Framework for IoS Performance Analytics
Aristotle University of Thessaloniki (AUTH), Greece
Prof. Athena Vakali
Human Activity Recognition, Behavioral Context Recognition, Multi-modal sensing, Sensing in the wild, Machine Learning
Stefanos Efstathiou is a PhD student at Aristotle University of Thessaloniki (AUTH). He received his Diploma in Computer Engineering and Informatics from University of Patras, Greece and his Masters degree in Business Analytics and Big Data from MIP Politecnico di Milano, Italy. Completing his thesis, titled: “Predicting FIFA World Cup 2018 Results using Machine Learning”, pointed to the potential that Predictive Analytics can have in Sports Industry. After his studies Stefanos worked as a Data Analyst in Cyprus providing insights through data analytics to Retail Businesses.
Currently he is working as an Early Stage Researcher for RAIS, conducting research on Well-being and Performance Analytics.
Predivtive Analytics, Sports Analytics, Sensor Analytics
The research activity I am currently focusing within RAIS is smartphone and wearable devices sensing applied in user experiments designed 'in the wild'. 'In the wild' is an approach which recent years gained popularity due to better understanding on how mobiles and wearable devices can be used in the everyday/real world, in order to gain new insights regarding the use of smartphone and wearable devices for tracking peoples health and wellbeing - for example engagements, emotions, interactions, activities etc. To support this approach, I am conducting a survey to examine current sensing methodologies, data collection methods, machine learning algorithms, applications that are currently being used in these user experiments and to spot gaps, limitations and explore future research directions and next steps for smartphone and wearable devices sensing.