I received my Ph.D. in 2015 and since that I have worked at the DataAI group, a sub-group of Biomimetics and Intelligent Systems Group, as a postdoctoral researcher. Most of my publications are related to analyzing data from wearable and mobile phone sensors, and especially, using this data to recognize human activities.
I have a long history in studying human activity recognition based on inertial sensor data. Mainly I have focused on studying accelerometer data from smartphone and wearable sensors. Application areas have varied from detection of daily activities, and swimming styles to detecting industrial activities. Recently study has focused on training adaptive models and building general models based on small training data.
One of the recent research topics is early detection of migraine attack based on wearable sensor data. Idea is to use wearable sensors to measure biosignals like, blood volume pulse, heart rate variability and galvanic skin response, and find out how these change before forthcoming seizure or attack.
The aim of the continuous authentication is to find out if smartphone is used by genuine user or impostor. This authentication is based on touchscreen and other smartphone sensor data collected during user's swipe gestures.
3/2017 - 9/2017: Research visit to Bittium Wireless Ltd