Fadi Al Machot
Assoc. Prof. PD. Dr. techn. habil. · Norwegian University of Life Sciences (NMBU)
Faculty of Science and Technology (REALTEK) · Ås, Norway
Machine Learning Zero/Few-Shot Learning Neural-Symbolic AI Explainable AI Temporal Data & Forecasting Lightweight Models
About
I am Assoc. Prof. PD. Dr. techn. habil. Fadi Al Machot, specializing in Zero/Few-Shot Learning, Explainable AI, Temporal Data Analysis, and Neural-Symbolic Learning with Knowledge Representation. My research translates into impactful applications in healthcare and assisted living, automotive and ADAS, smart agriculture, and bioinformatics — developing lightweight and context-aware AI solutions that bridge logic, learning, and real-world needs.
🔬 Research Group Leader — TETRA AI
Trustworthy and Efficient Transfer Learning AI (TETRA AI) — a research group at NMBU dedicated to advancing methods that make AI models both trustworthy and highly efficient. Research focuses on zero/few-shot learning, neural-symbolic reasoning, and lightweight architectures for real-world deployment.
Patent · European Research Patent No. EP2790165 — Quality Determination in Data Acquisition (2013), in collaboration with Swarco Traffic Systems, Germany.
Academic Timeline
Norwegian University of Life Sciences (NMBU), Department of Data Science (REALTEK)
University of Lübeck, Germany
Research Center Borstel – Leibniz Lung Center, Germany
University of Klagenfurt, Austria
University of Klagenfurt, Austria
University of Potsdam, Germany