Feyzi Can
Eser

Feyzi Can is an MS Computational Data Analytics student. He completed his undergraduate at Imperial College London with a BEng/MEng Mechanical Engineering degree. He is currently working on using Electrodermal Activity data from wearable sensors to suggest optimal break times to enhance IT workers’ productivity and well being.

research areas: Wearables, Applied Machine Learning

email: feser3@gatech.edu