Faculty Research Themes | About the themes | Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS)

Within the faculty of EEMCS, there are four cross-disciplinary faculty themes, namely Health, Robotics, Data Science and Energy. From these themes, four 'theme call' projects have been created to promote collaboration between the disciplines of the faculty. The projects consist of three members, one each from Electrical Engineering, Mathematics and Computer Science.

Meet the PROJECT teams

Health

Searching the perfect one
L.I. Segerink, C. Brune and N. Strisciuglio

In this project, three researchers work together to capture individual cells and analyse them objectively using AI.

Robotics

Predictive Avatar Control and Feedback (PACOF)
Dr. Douwe Dresschers, Dr. Gwenn Englebienne and Dr. Felix Schwenninger

In this project, researchers are creating a robotic system that allows the robot operator to experience the location just as the robot does.

Data science

Sports, Data, Interaction
Jasper Reenalda, Katharina Proksch and Dennis Reidsma

The project combines expertise in measurement of athletes, advanced statistical models for analysing and modeling the resulting data, and interaction technology for making the resulting insights useful in training context.

Energy

Energy-efficient and resilient internet (EERI)
Suzan Bayhan, Harijot Singh Bindra and Clara Stegehuis

The goal in this collaborative project between is to make the Internet energy-efficient and resilient towards energy failures.