Thirteen years of experience in teaching the following courses (since 2010 and still)

• Autonomous Systems
• Robotics Fundamentals
• 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

Thesis supervisor and co-supervisor of several  PhD, master and bachelor students

JOURNAL-PUBLICATIONS

2023

• William Heyden, H Ullah, M. Salman Siddiqui, F adi Al Machot, An Integral Projection-based Semantic Autoencoder for Zero-Shot Learning, IEEE Access, 2023

• WV Kambale, K Kyamakya, Fadi Al Machot, T Benarbia, Sensitivity Analysis for an Ensemble Transfer Learning scheme for Time Series Forecasting–Case-Study of a Shallow Neural Network Achitecture,  2023 IST-Africa Conference (IST-Africa), 2023

• Dominik Kopczynski, Daniel Krause, Fadi Al Machot, Dominik Schwudke, Nils Hoffmann, Robert Ahrends, The Past and Future of Lipidomics Bioinformatics, Mass Spectrometry for Lipidomics: Methods and Applications, Wiley‐VCH GmbH, 2023.

• Ali Deeb, Abdalrahman Ibrahim, Mohamed Salem, Joachim Pichler, Sergii Tkachov, Anjeza Karaj, Fadi Al Machot, Kyamakya Kyandoghere, A Robust Automated Analog Circuits Classification Involving a Graph Neural Network and a Novel Data Augmentation Strategy, Sensors, 2023.

• Habib Khan, Mohib Ullah, Fadi Al-Machot, Faouzi Alaya Cheikh, Muhammad Sajjad, Deep learning based speech emotion recognition for Parkinson patient, Electronic Imaging,  Society for Imaging Science and Technology, 2023.

• Taha Benarbia, Kyandoghere Kyamakya, Fadi Al Machot, Witesyavwirwa Vianney Kambale, Modeling and Simulation of Shared Electric Automated and Connected Mobility Systems with Autonomous Repositioning: Performance Evaluation and Deployment, Sustainability, 2023.

2022

• Fadi Al Machot, Mohib Ullah, Habib Ullah, HFM: A Hybrid Feature Model Based on Conditional Auto Encoders for Zero-Shot Learning, Journal of Imaging, 2022.

• Rafi Ullah, Sultan Daud Khan, Mohib Ullah, Fadi Al-Machot, Habib Ullah, Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking, IEEE Access, 2022.  

• Nils Hoffmann, Gerhard Mayer, Canan Has, Dominik Kopczynski, Fadi Al Machot, Dominik Schwudke, Robert Ahrends, Katrin Marcus, Martin Eisenacher, Michael Turewicz, A Current Encyclopedia of Bioinformatics Tools, Data Formats and Resources for Mass Spectrometry Lipidomics, Metabolites, 2022.

• Rafi Ullah, Sultan Daud Khan, Mohib Ullah, Fadi Al-Machot, Habib Ullah, Toward Authentication of Videos: Integer Transform Based Motion Vector Watermarking, IEEE Access, 2022.

• Mohammed R. Elkobaisi, Fadi Al Machot, Heinrich C. Mayr, Human Emotion: A Survey focusing on Languages, Ontologies, Datasets, and Systems, SN Computer Science, Springer, 2022.

2021

• Mohammed R. Elkobaisi, Fadi Al Machot, Human emotion modeling (HEM): an interface for IoT systems, Journal of Ambient Intelligence and Humanized Computing, Springer, 2021.

2020

• Fadi Al Machot, Mohammed R. Elkobaisi, Kyandoghere Kyamakya, Zero-Shot Human Activity Recognition Using Non-Visual Sensors, Sensors, 2020.

• Nour Jnoub, Fadi Al Machot, Wolfgang Klas A domain-independent classification model for sentiment analysis using neural models, Applied Sciences, 2020.

2019

• Fadi Al Machot, Ali Elmachot, Mouhannad Ali, Elyan Al Machot and Kyandoghere Kyamakya, A Deep-Learning Model for Subject-Independent Human Emotion Recognition Using Electrodermal Activity Sensors, Sensors, 2019.

2018

• Gabriel Machado Lunardi, Fadi Al Machot, Guilherme Medeiros Machado, Vincius Maran, Alencar Machado, Heinrich Mayr, Vladimir Shekhovtsov, Jose Palazzo, IoT-based Human Action Prediction, Internet of Things, Elsevier, 2018.

• Judith Michael, Claudia Steinberger, Volodymyr Shekhovtsov, Fadi Al Machot, Suneth Ranasinghe, Gert Morak, The HBMS Story, Past and Future of an Active Assistance Approach, International Journal for Conceptual Modeling, German Informatics Society (GI), 2018.

• Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Midhat Jdeed, Elyan Al Machot Kyandoghere Kyamakya, A Globally Generalized Emotion Recognition System Involving Different Physiological Signals, Sensors, 2018. 

2017

• Fadi Al Machot, Ahmad Haj Mosa, Mouhannad Ali and Kyandoghere Kyamakya, Activity Recognition in Sensor Data Streams for Active and Assisted Living Environments, IEEE Transactions on Circuits and Systems for Video Technology, 2017.

2016

• Suneth Ranasinghe, Fadi Al Machot, Heinrich C. Mayr, A Review on Applications of Activity Recognition Systems with Regard to Performance and Evaluation, International Journal of Distributed Sensor Networks (IJDSN), 2016.

• Fadi Al Machot, Mouhannad Ali, Ahmad Haj Mosa, Christopher Schwarzlmueller, Markus Gutmann and Kyandoghere Kyamakya: Real-Time Raindrop Detection based on Cellular Neural Networks for ADAS, Journal of Real-Time Image Processing, Springer, 2016.

• Ahmad Haj Mosa, Kyandoghere Kyamakya, Ralf Junghans, Mouhannad Ali, Fadi Al Machot, Markus Gutmann, Soft Radial Basis Cellular Neural Network (SRB-CNN) based Robust Low-Cost Truck Detection using a Single Presence Detection Sensor, International Journal on Transportation Research Part C: Emerging Technologies, Elsevier, 2016.

2011

• Fadi Al Machot, Kyandoghere Kyamakya, Real-Time Complex Event Detection Based on Answer Set Programming, ISAST Transactions on Computers and Intelligent Systems, University of Jyväskylä, 2011.

2010

• Christopher Schwarzlmüller, Fadi Al Machot, Alireza Fasih, Kyandoghere Kyamakya, A Novel Support Vector Machine Classification Approach Involving CNN for Raindrop Detection, ISAST Transactions on Computers and Intelligent Systems, University of Jyväskylä,  2010.

• Alireza Fasih, Christopher Schwarzlmüller, Kyandoghere Kyamakya, Fadi Al Machot,  Video Enhancement for ADAS Systems based on FPGA and CNN Platform,  International Journal of Signal and Image Processing, 2010.

CONFERENCES

• 2018

• Gabriel Machado Lunardi, Guilherme Medeiros Machado, Fadi Al Machot, Vinícius Maran, Alencar Machado, Heinrich Mayr, Vladimir Shekhovtsov, José Palazzo, Probabilistic Ontology Reasoning in Ambient Assistance: Predicting Human Actions, 32nd International Conference on Advanced Information Networking and Applications, 2018.

• Fadi Al Machot,  Mouhannad Ali, Suneth Ranasinghe, Ahmad Haj Mosa, and Kyandoghere Kyamakya, Improving Subject-independent Human Emotion Recognition Using Electrodermal Activity Sensors for Active and Assisted Living, 11th ACM International Conference on PErvasive Technologies Related to Assistive Environments., 2018

• Fadi Al Machot, Suneth Ranasinghe, Johanna Plattner, and Nour Jnoub, Human Activity Recognition based on Real Life Scenarios, CoMoRea 2018, Proceedings of  IEEE International Conference on Pervasive Computing and Communications (PerCom), 2018.

• 2016

• Fadi Al Machot, Heinrich C. Mayr and Suneth Ranasinghe: A Windowing Approach for Activity Recognition in Sensor Data Streams, Proc. 8th IEEE Int. Conf. on Ubiquitous and Future Networks ICUFN, Vienna, 2016.

• Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Kyandoghere Kyamakya, CNN based Subject-independent Driver Emotion Recognition System involving Physiological Signals for ADAS, 20th International Forum on Advanced Microsystems for Automotive Applications, AMAA 2016.

• Mouhannad Ali, Ahmad Haj Mosa, Fadi Al Machot, Kyandoghere Kyamakya, EEG-Based Emotion Recognition Approach for E-healthcare Applications, Proc. 8th IEEE Int. Conf. on Ubiquitous and Future Networks ICUFN, Vienna, 2016.

• Fadi Al Machot, and Heinrich C. Mayr: Improving Human Activity Recognition by Smart Windowing and Spatio-Temporal Feature Analysis, Proc. 9th ACM Int. Conference on PErvasive Technologies Related to Assistive Environments, ACM, 2016.

• Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Kyandoghere Kyamakya, A novel EEG-based emotion recognition approach for e-healthcare applications, Proceedings of the 31st Annual ACM Symposium on Applied Computing, pp 162-164, ACM, 2016.

• 2015

• Judith Michael, Fadi Al Machot, and Heinrich C. Mayr: ADOxx based tool support for a behavior-centered modeling approach, Proc. 8th ACM Int. Conference on PErvasive Technologies Related to Assistive Environments, ACM, 2015.

• 2014

• Fadi Al Machot, Heinrich C. Mayr and Judith Michael: Behavior Modeling and Reasoning for Ambient Support: HCM-L Modeler. In: Modern Advances in Applied Intelligence; Proc. 27th Int. Conf. on Industrial, Engineering and Other Applications of Applied Intelligent Systems. Springer LNAI Vol. 8482, pp. 388-397, 2014.

• Judith Michael, Fadi Al Machot, and Heinrich C. Mayr: A Behavior Centered Modeling Tool Based on ADOxx, Joint Proceedings of the CAiSE Forum and CAiSE Doctoral Consortium, CEUR Workshop Proceedings, Aachen, 2014.

• 2011

• Fadi Al Machot, Kyandoghere Kyamakya, Bernhard Dieber, and Bernhard Rinner: Real-Time Complex Event Detection for Resource-Limited Multimedia Sensor Networks, Proc. 8th IEEE Int. Conference Advanced Video and Signal-Based Surveillance (AVSS),  2011.

• Fadi Al Machot, C. Tasso, Bernhard Dieber, Kyandoghere Kyamakya, Claudio Piciarelli, Christian Micheloni, S. Londero, M. Valotto, P. Omero, and Bernhard Rinner: Smart Resource-aware Multimedia Sensor Network for Automatic Detection of Complex Events. Proc. 8th IEEE Int. Conference on Advanced Video and Signal-Based Surveillance (AVSS),  2011.

• Fadi Al Machot, Ahmad Haj Mosa, Kosai Dabbour, Alireza Fasih, and Christopher Schwarzlmüller: A Novel Real-Time Emotion Detection System from Audio Streams Based on Bayesian Quadratic Discriminate Classifier for ADAS. Proceedings of the Joint INDS'11 & ISTET'11, Aachen, 2011.

• Christopher Schwarzlmüller, Fadi Al Machot, Kyandoghere Kyamakya, and Alireza Fasih,: Adaptive Contrast Enhancement Involving CNN-based Processing for Foggy Weather Conditions & Non-Uniform Lighting Conditions, Proc. Joint INDS'11 & ISTET'11, 2011.

• Sasanka Potluri, Alireza Fasih, L.K. Vutukuru, Fadi Al Machot, and Kyandoghere Kyamakya: CNN Based High-Performance Computing for Real-Time Image Processing on GPU. Proc. Joint INDS'11 & ISTET'11, 2011.

• A. Kolli, Alireza Fasih, Fadi Al Machot, and Kyandoghere Kyamakya: Non-intrusive Car Driver's Emotion Recognition Using Thermal Camera. Proc. Joint INDS'11 & ISTET'11, 2011.

• 2010

• Robert Hartmann, Fadi Al Machot, Philipp Mahr, and Christopher Bobda: Camera-Based System for Tracking and Position Estimation of Humans, IEEE Conference on Design & Architectures for Signal & Image Processing (DASIP), Edinburgh University Press,  2010.

Books

2021

• Kyandoghere Kyamakya, Ahmad Haj Mosa, Fadi Al Machot, Jean Chamberlain Chedjou, Document-Image Related Visual Sensors and Machine Learning Techniques, Sensors, 2021.

• Kyandoghere Kyamakya, Jean Chamberlain Chedjou, Fadi Al-Machot, Ahmad Haj Mosa, Antoine Bagula, Special Issue "Intelligent Transportation-Related Complex Systems and Sensors", Sensors, 2021.

• 2018

• Judith Michael, Claudia Steinberger, Vladimir A Shekhovtsov, Suneth Ranasinghe, Fadi Al Machot, Special Issue on Conceptual Modelling in Honour of Heinrich C. Mayr, Enterprise Modelling and Information Systems Architectures (EMISAJ), 2018.

• Kyandoghere Kyamakya, Fadi Al-Machot, Ahmad Haj Mosa, Hamid Bouchachia, Jean Chamberlain Chedjou, Antoine Bagula, Special Issue "Emotion and Stress Recognition Related Sensors and Machine Learning Technologies", Sensors, 2021.

• Kyandoghere Kyamakya, Fadi Al-Machot, Ahmad Haj Mosa, Jean Chamberlain Chedjou, Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques", Sensors, 2021.

Workshops

2011

• Fadi Al Machot, and Kyandoghere Kyamakya: Decision Support Systems based on Answer Set Programming, Lasko Workshop 2011 - Autonomous Systems, University of Maribor,  2011.

2014

• Mouhannad Ali, Fadi Al Machot, Ahmad Haj Mosa, Patrik Grausberg, Nkiediel Alain Akwir, Baraka Olivier Mushage, and Kyandoghere Kyamakya: A Review of Object Classification for Video Surveillance Systems, Proceedings of the 7th GI Workshop Autonomous Systems, 2014.

• Ahmad Haj Mosa, Mouhannad Ali, Fadi Al Machot, and Kyandoghere Kyamakya: A Computerized Method to Diagnose Strabismus. Herwig Unger, Wolfgang A. Halang.: Proc. 7th GI Workshop Autonomous Systems 2014, Düsseldorf, 2014.

2015

• Ahmad Haj Mosa, Kyandoghere Kyamakya, Mouhannad Ali, Fadi Al Machot, and Jean Chamberlain Chedjou: Neurocomputing-based Matrix Inversion Involving Cellular Neural Networks: Blackbox Training Concept. Autonomous Systems 2015,  2015.

Book Chapters

2018

• Fadi Al Machot, Heinrich C. Mayr and Suneth Ranasinghe, A Hybrid Reasoning Approach for Activity Recognition based on Answer Set Programming and Dempster-Shafer Theory, Recent Advances in Nonlinear Dynamics and Synchronization, Studies in Systems, Decision, and Control, Springer, 2018

• Mouhannad Ali, Ahmad Haj Mosa, Fadi Al Machot, Kyandoghere Kyamakya, Emotion Recognition Involving Physiological and Speech Signals: A Comprehensive Review, Recent Advances in Nonlinear Dynamics and Synchronization, Studies in Systems, Decision, and Control, Springer, 2018.

2017

• Mouhannad Ali, Ahmad Haj Mosa, Fadi Al Machot, Kyandoghere Kyamakya, Emotion Recognition Involving Physiological and Speech Signals: A Comprehensive Review, Advances in Computational Intelligence, Springer, 2017.

2016

• Heinrich C. Mayr, Fadi Al Machot, Judith Michael, Gert Morak, Suneth Ranasinghe, Vladimir Shekhovtsov und Claudia Steinberger, HCM-L: Domain-Specific Modeling for Active and Assisted Living, Domain-Specific Conceptual Modeling Concepts, Methods and Tools, Springer, 2016.

2011

• Stefan Rass, Fadi Al Machot, Kyandoghere Kyamakya: Fine-Grained Diagnostics of Ontologies with Assurance, INTECH Open Access Publisher, 2011.

• Kyandoghere Kyamakya, Jean C. Chedjou, Fadi Al Machot, Alireza Fasih, Jean Chamberlain Chedjou: Enabling a driver-specific "Real-Time Road Safety" Assessment through an "Extended Floating Car Data" and Visualization System, Autonomous Systems: Developments and Trends, Springer, 2011.