Modern and practical modules
Fabio chose to study at Reading because of the excellent campus and location, as well as the course content. Modules focused on modern topics in computer science, such as data mining, big data and machine learning.
The course also covered interesting research applications, including: brain-computer interface, swarm intelligence, artificial life, and graphics processing unit (GPU) computing.
During his time at Reading, Fabio was inspired by the Department's research on computer-aided diagnosis of Alzheimer's disease. He decided to focus on this fascinating and vital topic for his dissertation.
Creativity and curiosity
Gaining exposure to a research environment during his dissertation work was key to Fabio's decision to pursue a career in R&D. Soon after graduating, he joined Sony Interactive Entertainment.
"I think it's creativity that makes computer science research so satisfying. It's extremely interesting to find out how existing technologies work and how new technology can be invented to solve problems."
PlayStation's R&D department develops the PlayStation SDK (the fundamental tools to develop software on their platforms) and researches new technologies. Fabio conducts this research using machine learning methods in new application domains.
From the start, Fabio was able to contribute to existing projects and innovation at Sony Interactive Entertainment. Many of the technologies were completely new to him. However, the research skills he gained during his studies gave him a solid foundation to adapt to the new environment and overcome challenges.
"My work allows me to contribute to development of the most 'cutting-edge' technology for entertainment platforms. I can also freely pursue my own research interests, as innovation is actively encouraged."
Chengcheng Cui, MSc Advanced Computer Science graduate