Florian Haselbeck

Prof. Dr. Florian Haselbeck is a Professor in the Department Sustainable Agriculture and Energy Systems at the University of applied sciences Weihenstephan-Triesdorf (HSWT). His research bridges machine learning, agricultural science, and biological applications with a strong focus on practical implementations.

His primary research interests include:

• Machine Learning applications for time series forecasting in agriculture and energy systems
• Protein engineering and thermostability prediction using deep learning
• Computer vision for precision agriculture and weed detection
• Development of open-source frameworks for scientific computing
• Smart farming applications with practical industry relevance

Dr. Haselbeck's recent publications reveal a strong interdisciplinary approach, combining cutting-edge AI techniques with domain-specific challenges. His work on protein thermostability prediction using graph neural networks (ProtGCN) and protein language models (ProLaTherm) demonstrates innovative applications of AI in biochemistry. He has also developed influential open-source frameworks including ForeTiS for time series forecasting and easyPheno for phenotype prediction, which have gained significant traction in their respective fields.

As project lead for the smartBattery initiative, Dr. Haselbeck is applying AI to optimize large-scale battery storage systems for renewable energy integration. His research consistently emphasizes practical applicability, with numerous publications focusing on real-world implementation challenges and solutions in agricultural contexts.