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.

• Indoor localization/tracking.

• Trade-off analysis between accuracy vs energy consumption for on-chip vs cloud processing.

Semantic intelligence

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.