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ACADEMIC AND INDUSTRY EXPERIENCE

2017-06Present

Senior Data Scientist - Machine Learning

Research Center Borstel – Leibniz Lung Center, Germany

Priority Research Area Infections - Bioanalytical Chemistry

2017-10Present

Lecturer

University of Lübeck, Germany

Institute for Neuro- und Bioinformatics

2010-10Present

Lecturer

University of Klagenfurt, Austria

Institute for Smart System Technologies

2016-102017-03

Lecturer

Christian Albrecht University, Germany
  • Transportation Informatics, Institute for Smart System Technologies
2013-042016-09

PostDoc - Senior Researcher

University of Klagenfurt, Austria
  • Application Engineering, Institute of Applied Informatics
2010-032013-03

PhD - Research Assistant

University of Klagenfurt, Austria
  • Transportation Informatics
  • Institute for Smart System Technologies
20082010

Web-und Software Developer

Luft- Und Umweltplanung, Potsdam, Germany
20092010

IT-Manager of European Students Conference

Charite, Berlin, Germany
20082009

Student and research assistant

Hasso Plattner Institute, Potsdam, Germany
  • Systems and their Modeling

KEY ACHIEVEMENT

2020

Habilitation in Applied Computer Science

University of Lübeck, Germany
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

Diploma in Computer Science

University of Potsdam- Potsdam, Germany

Thesis: Camera-based System for Tracking and Position Estimation of Humans

Since2010

Author and co-author of more than 50 scientific (peer reviewed) publications

e.g., IEEE transactions, Springer, MDPI, IEEE and ACM conferences

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
2013

Best Practice Project Award

Project: Smart Resource-Aware Multi-Sensor Network (SRSnet)
  • The SRSnet project has been awarded as a best practice project of the Interreg IV programme, Italy and Austria

PROFESSIONAL ACTIVITIES

Since 2013

Manager

Managing research subprojects at the University of Klagenfurt - Austria and the  Research Center Borstel - Germany

Since2010

Lecturer

 at University of Klagenfurt - Austria, Christian Albrecht University - Germany, University of Lübeck - Germany

Since2012

Organizer of different international conferences

, e.g., German Conference on Multiagent System Technologies, Workshop on Conceptual Modeling for Ambient Assistance and Healthy Ageing (AHA), ER Conference, Informatik 2016 Conference - German Informatics Society, Lipidomics Forum

Since2017

Editor of different special issue volumes

e.g., Sensors MDPI, and EMISAJ (German Informatics Society)

Since2013

Thesis supervisor and co-supervisor for bachelor, master and PhD students

University of Klagenfurt - Austria, University of Udine - Italy
Since2013

Reviewer of several IEEE transactions Journals

  • E.g. IEEE Transactions on Neural Networks and Learning Systems, IEEE Transactions on Vehicular Technology, IEEE Transactions on Circuits and Systems for Video Technology, IEEE Transactions on Emerging Topics in Computational Intelligence 
Since2011

Member of IEEE und ACM

RESEARCH PROJECTS

2017-062020-06

Lipidomics Informatics for Life Sciences (LIFS)

Research Center Borstel – Leibniz Center for Medicine and Biosciences

Federal Ministry of Education and Research, Germany

2015-06Present

Human Behavior Modeling and Support 2 (HBMS2)

University of Klagenfurt, Austria

Klaus Tschira Stiftung, Germany

2013-032015-03

Human Behavior Modeling and Support (HBMS)

University of Klagenfurt, Austria

Klaus Tschira Stiftung, Germany

2010-022013-07

Robust Sensors in Traffic (RoSiT)

University of Klagenfurt, Austria

FFG - Austrian Research Promotion Agency, Swarco Traffic System GmbH

2010-032013-03

SRSnet - Intelligent Audio/Video-Sensor Network

University of Klagenfurt, Austria

Interreg IV program, Italy and Austria

Program Committee

20182019

ICTERI: International Conference on ICT in Education, Research, and Industrial Applications

2015-2017

Workshop on Conceptual Modeling for Ambient Assistance and Healthy Ageing (AHA), ER Conference

Organisation Committee

2017 - 2018 2020

Lipidomics Forum

Research Center Borstel – Leibniz Lung Center
2016

14th German Conference on Multiagent System Technologies, Klagenfurt, Austria

2016

Informatik 2016 Conference - German Informatics Society, Klagenfurt, Austria

Talks

2020-03-03

A LUX Score-Based Lipidome Comparison of Lung Tissue of Humans, Mice, Pig and Sheep Using a Dedicated Template SMILES Generator

European Mass Spectrometry Conference 2020, Münster, Germany
2019-11-10

Statistical Analysis & Qualitative and Quantitative Comparison of Lipidomics Data

Research Center Borstel – Leibniz Lung Center, Borstel, Germany
2019-03-22

Summer school on Integration of Large Scale Lipidomics Data in Systems Medicine Research

Leipzig University, Germany
2018-03-13

An Adaptive and Dynamic Approach to Generate Unique SMILES for Lipidome Homology

European Mass Spectrometry Conference 2018, Rostock, Germany
2016-07-262016-07-26

Reasoning for Human Support in Active and Assisted Living Environments

Next Generation Enterprise Modeling (Summer school), Klagenfurt, Austria
2014-07-102014-07-10

Reasoning for Ambient Assistance

Next Generation Enterprise Modeling (Summer school), Klagenfurt, Austria
2012-07-112012-07-13

A Novel Adaptive Traffic Controller based on the Hidden Markov Model and Answer Set Programming

Nonlinear Dynamics of Electronic Systems, Wolfenbüttel, Germany
2011-05-032011-05-05

Decision Support Systems based on Answer Set Programming

Lasko Workshop 2011 – Autonomous Systems, Lasko, Slowenia

TEACHING

Ten 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

INTERESTS

  • Autonomous Systems 
  • Deep Learning, Neurocomputing
  • Explainable Artificial Intelligence
  • Machine Learning and Data Mining
  • Cognitive Modeling and Reasoning
  • Knowledge Engineering
  • Answer Set Programming
  • Conceptual Reasoning under Uncertainty

LANGUAGES

  • German (fluently)
  • English (fluently)
  • Arabic (fluently)
  • French (very good)

SELECTED PUBLICATIONS

JOURNAL-PUBLICATIONS

  • Fadi Al Machot, Mohammed R. Elkobaisi, Kyandoghere Kyamakya, Zero-Shot Human Activity Recognition Using Non-Visual Sensors, Sensors, MDPI, 2020.
  • 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, MDPI, 2019.
  • 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.
  • 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.
  • 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, MDPI, 2018. 
  • 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.
  • 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.
  • 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, HyperSciences Publisher, 2010.

Editor

  • Kyandoghere Kyamakya, Jean Chamberlain Chedjou, Fadi Al-Machot, Ahmad Haj Mosa, Antoine Bagula, Special Issue "Intelligent Transportation-Related Complex Systems and Sensors", Sensors, MDPI, 2020.
  • 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, MDPI, 2020.
  • Kyandoghere Kyamakya, Fadi Al-Machot, Ahmad Haj Mosa, Jean Chamberlain Chedjou, Special Issue "Document-Image Related Visual Sensors and Machine Learning Techniques", Sensors, MDPI, 2020.
  • 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.

BOOK CHAPTERS

  • 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.
  • 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.
  • 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.
  • 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.

CONFERENCES

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

WORKSHOPS

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

    Softwares and Tools

    2019

    A clustering tool for lipidomes homology

    Download

    LUX Score is the first metric for comparing lipidomes. It provides a measure of homology between lipidomes similar to genetic analyses.

    https://lifs.isas.de/lux-score.html

    2018

    LipidXplorer 1.2.8

    Download:

    LipidXplorer is a software that supports a variety of untargeted shotgun lipidomics experiments and experiments from LC/MS lipidomics. It is designed to support bottom-up and top-down shotgun lipidomics experiments performed on all types of tandem mass spectrometers. Lipid identification does not rely on a database resource of reference or simulated mass spectra.Software: https://lifs.isas.de/lipidxplorer.html