Data and AI
Data mining and machine learning (ML) techniques for data processing of images, video, sensor
Anomaly detection to detect abnormal sensor values (also applicable for predictive maintenance of sensors)
Automated animal/activity classification in images or videos.
Platform design for scalable and secured data mining applications.
Internet of things and wireless networking
Selection of the most appropriate wireless technology and communications/data standards.
Adaptation of wireless networking technologies to work optimally when only occasional data connections are available.
Trade-off analysis between accuracy vs energy consumption for on-chip vs cloud processing.
High-speed circuit design for optical and wireless communications and electromagnetics systems analysis
Reduction of the ML complexity to execute the models on embedded devices.
Mathematical and computational modelling
Epidemiology of viral outbreaks
Design of ML models for animal activity classification (e.g. running)
Design of ML models for anomaly detection (e.g. foaling)
Transfer learning to apply existing ML models to other (types of) animals.