A representative list of research projects of our group.
SimGait: Modeling pathological gait resulting from motor impairmentsWithin this project we seek to develop machine learning methods for the modelling of pathological human locomotion. This is a collaborative Sinergia project funded by the Swiss National Science Foundation. Read more
OrbiLoc: Learning to position IoT devices in outdoor environmentsOrbiLoc is an Innosuisse project in which the Data Mining and Machine Learning (DMML) group collaborates with the company Orbiwise. The goal of this project is to improve the localization accuracy achieved by IoT devices utilizing the LoRa network of Orbiwise. In the context of this project, DMML introduces machine learning techniques for localization, achieving ... Read more
SMELL: Learning olfactory models to support the perfume creation processSMELL is an Innosuisse project undertaken with collabration with the company Firmenich. The goal of the project is to develop a data-driven methodology which will allow us to uncover the olfactory perception mechanisms related to perfume creation and exploit them to build rational solutions that improve product performance and differentiation. We designed and developed novel ... Read more
We proudly present our partners, with whom we have collaborated in numerous research projects, offering an applied machine learning approach in solving real world problems. If you are interested in a collaboration, do not hesitate to contact our team.
The members of our group have been to various prestigious institutions for internships, during which they've sharpened their skills and expertise.
Magda Gregorova, IBM Research, June - September 2015
Jason Ramapuram, Apple AI research, June - September 2017, January - March 2019
Amina Mollaysa, Alan Touring Institute, August - September 2018, September - October 2019
Lionel Blonde, Apple AI research, June - September 2019
Jason Ramapuram, Deep Mind, December 2019 - March 2020