Personal Research Topics
Detection of anomalies in time series data, based on ML / DL data models.
Research and development of ML / DL solutions for real life problems in the shipping industry, such as predictable maintenance, anomaly detection, time series forecasting and scheduling
Improved food safety through time series based on food recall predictions and NLP data models
Research and development of ML / DL solutions for real-life problems in the agricultural industry, including maintenance forecasting, anomaly detection, chronological forecasting, NLP.
