DSP: Digital Signal Processing of Electronic Nose
The electronic nose technology mimics the way how humans detect odours. There are various application domains, as medtech (detecting diseases based on biomarkers), industry 4 (detecting gases of carcinogen nature), food safety (freshness of meat, microbiological contamination). The student will work on the research of deep learning techniques to process sensor data. The task can be labeling (do we smell a banana or a raspberry) or the estimation of the concentration (do we smell butadiene and in which concentration). In the former case, a feed-forward (FF) neural network is involved for classification. In the latter case, an FF is involved for regression.
An example pitch deck:https://docs.google.com/presentation/d/14ng2KT-oQv7Kb3Tp_QdlCp5UnPX4lHNiUzSHjW9QJpw/edit?usp=sharing