- Machine Learning & Deep Learning/Reasoning
- Zero/Few Shot Learning
- Neural Symbolic Learning and Conceptual Modeling
- Multimodal Pattern Recognition (vision/audio/text and physiological signals)
- Applications: Active and Assisted Living - Human Emotion and Activity Recognition
Current NMBU Courses:
DAT200 Applied Machine Learning
INF221 Computer Science for Data Scientists
Other previous courses:
- Autonomous Systems
- Fundamentals of Robotics
- Fundamentals of Image Processing
- Practical Introduction to Neural Networks and Deep Learning
- Data Mining and Neurocomputing
- Machine Vision in Intelligent Transportation
- Mobile Applications with Androids
- GIS (Geographic Information Systems) - Expert Systems in Transportation
- Data Mining in Intelligent Transportation and Logistics
- Data, Network and Web Technology: Tools and Automation
- Seminar on Data Mining and Pattern Recognition in Intelligent Vehicle Technologies
- Seminar Neuro- und Bioinformatics "Machine Learning"
- Lab on Machine Vision
- Lab on Machine Learning and Applications in Intelligent Vehicles
- Lab on Robotics Fundamentals
Forskningsprosjekter med nettside utenfor NMBU
- BATCAT: BATTERY CELL ASSEMBLY TWIN
- Harmonization of Advanced Materials Ecosystems serving strategic Innovation Markets to pave the way to a Digital Materials & Product Passport: DigiPass
- Zero/Few- Shot Learning(ZSL/FSL) using Multimodal Sensors (ZSL++)
- Lipidomics Informatics for Life Sciences (LIFS)
- Human Behavior Modeling and Support (HBMS))
- Robust Sensors in Traffic (RoSiT)
- Intelligent Audio/Video-Sensor Network (SRSnet)
ORCID: Fadi Al Machot (0000-0002-1239-9261) (orcid.org)
KEY ACHIEVEMENT (More details: here )
- 2021: Associate professor in machine learning at NMBU, Norway
- 2020: Habilitation in Applied Computer Science, University of Lübeck, Germany
- 2013: Doctorate in Computer Science, University of Klagenfurt, Austria
- 2010: Diploma in Computer Science, University of Potsdam- Potsdam, German
- 2013: European Research Patent - Collaboration with Industry, Swarco Trafic Systems Company, Germany, Quality Determination in Data Acquisition, European Patent No.EP2790165
- 2013: Best Practice Project Award, Project: Smart Resource-Aware Multi-Sensor Network (SRSnet)