Data Science student at KTH iOS Developer
Video Frame Interpolation via Adaptive Separable Convolution
Reproduction of a research paper on state-of-the-art methods for video interpolation. The resulting neural network achieves performance comparable to the original work, and was trained with a novel loss function. This project was developed as a final assignment for the Deep Learning in Data Science course (DD2424) held by professor Josephine Sullivan at KTH, together with other students.
Stress and Energy Detection System for TBI Patients using Wearable Physiological Sensors
Development of a mobile application for individuals with Traumatic Brain Injury. The app is connected to a wireless sensor, monitoring real-time data, and predicting stress and energy levels with Statistical Learning techniques. This project is currently being developed with the Assistive Technology team at KTH.