Fadi Al Machot
ASSOC. PROF. PD. DR. TECHN. HABIL. FADI AL MACHOT
Machine Learning, Neural-Symbolic Learning, Active and Assisted Living, Data Mining, Zero/Few-Shot Learning
Email: fadi.al.machot@nmbu.no
About Me:
I am a researcher with a penchant for developing cutting-edge algorithms. My expertise spans from complex event detection in video surveillance to human cognitive reasoning. My innovations, many of which have been patented, are recognized internationally and have been presented at prominent conferences and published in reputable journals. My core areas of expertise include Deep Learning, Robotics, Video Analysis, and Advanced Driver Assistance Systems (ADAS). With a profound interest in Artificial Intelligence, Neural Networks, and Knowledge Engineering, I am constantly exploring the intersections of logic, context-awareness, and neural-symbolic learning to push the boundaries of technology. Welcome to my digital space, where innovation meets application.
2020
Associate Professor in Data Science (Machine Learning)
Norwegian University of Life Sciences (NMBU)
Faculty of Science and Technology (REALTEK)
2020
Habilitation in Applied Computer Science
University of Lübeck, Germany
Thesis: Advanced Neurocomputing and Machine Learning Concepts for Human Emotion and Activity Recognition in the Context of Smart Environment
2013
Doctorate in Computer Science
University of Klagenfurt, Austria
Thesis: A Robust Classification and Event Detection under Uncertainty in Video/Audio Surveillance and Context-Aware Systems
2010
Diplom in Computer Science
University of Potsdam- Potsdam, Germany
Thesis: Camera-based System for Tracking and Position Estimation of Human
2013
European Research Patent - Collaboration with Industry,
Swarco Trafic Systems Company, Germany
Junghans R., Grüne K., Kyamakya K., Fasih A, AL Machot F., Haj Mosa A., Fasih A. and Ali M., Quality Determination in Data Acquisition, European, Patent No .EP2790165