This academic year has also ended on a great note with TCS and BIT students completing their bachelor research project and presenting their results at the 43rd Twente Student Conference on IT (TScIT). It was a fun event, full or exciting results and discussions and we at PS are extraordinarily proud of having guided our 32 students in the Embedded Machine Learning and Pervasive Computing and Internet of Things Tracks.
All of our students have focused on research areas with real and tangible impact on the world around us, from detecting the effect of wildfires on forested land, figuring out martial arts moves from head movements alone, controlling swarms or drones or building solutions to help color blind people to differentiatie hues. And much much more.
Many works focused on Machine Learning and Artificial Intelligence solutions for practical problems, pushing the envelope on how to implement such methods on the smallest possible hardware with the least amount of data. Others worked on integrating many modalities to build powerful inference engines and some even used AI to design novel hardware. You can read them all here!
While all papers were of great quality, one work has deserved the Best Paper Award for the Pervasive Computing and Internet of Things Track. Out of the 7 nominees, Dan-Cristian Ploesteanu's work on "Construction Vehicle Activity Detection in Low-Frequency Surveillance Imagery and Its Relationship to Local Air Quality" has shown an excellent usage of statistical methods and Machine Learning to determine what activities are carried out in a construction site, what machines are used, where, and what their impact is on the local air quality. Well Done Dan!
Congratulations to all our graduates for their excellent works, the great effort and diligence put in this project and we wish you all, first a great summer, and then many interesting discoveries further on in life!
