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Universitätsplatz 2

39106

Magdeburg

Tel.:+49 391 6758709

ayoub.al-hamadi@ovgu.de

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apl. Prof. Dr.-Ing. habil. Ayoub Al-Hamadi

Prof. Al‑Hamadi’s work bridges Neuro‑Information Technology, Artificial Intelligence, and Robotics. His research focuses on developing intuitive, human‑centered technologies that shape the shift toward Industry 5.0—where people and machines collaborate seamlessly.

Profil • Service

Vita

  • Ayoub K. Al-Hamadi received his Masters Degree in Electrical Engineering & Information Technology in 1997 and his PhD. in Technical Computer Science at the Otto-von-Guericke-University of Magdeburg, Germany in 2001.
  • Since 2003 he has been Junior-Research-Group-Leader at the Institute for Electronics, Signal Processing and Communications at the Otto-von-Guericke-University Magdeburg.
  • In 2008 he became Professor of Neuro-Information Technology at the Otto-von-Guericke University Magdeburg.
  • In May 2010 Prof. Al-Hamadi received the Habilitation in Artificial Intelligence and the Venia Legendi in the scientific field of "Pattern Recognition and Image Processing" from Otto-von-Guericke-University Magdeburg, Germany
  • Prof. Al-Hamadi is the author of more than 400 articles in peer-reviewed international journals, conferences and books.
  • Prof. Al-Hamadi is the principal investigator of more than 55 long-term projects funded by the DFG, EU, BMBF, AIF, various federal organizations and industry. 

Expertenprofil

Prof. Al-Hamadi holds the department of Neuro-Information Technology at the Otto von Guericke University Magdeburg. His work focuses on the interface between technical signal processing and human interaction to develop intelligent systems for the industry and medicine of the future.

Information Technology
  • Data acquisition: Capture of sensor data, machine status, environmental variables, and user inputs and vital parameter in real time.
  • Image Processing & Analysis: Specialist in Computer Vision, Pattern Recognition, and precise 3D measurement of technical and biological surfaces.
  • AI & Machine Learning: Deep expertise in the development of algorithms for Machine Learning and Artificial Intelligence.
  • Sensors & Data Fusion: Advanced sensor data processing and the fusion of complex information for precise environment and situation modeling.

Human-Machine Interaction (HMI)
A central research focus is enabling machines to interpret human behavior in real-time:
  • Recognition: Specialized systems for gesture, facial expression, and handwriting recognition.
  • Context analysis: Consideration of user state, experience, and environment for adaptive adjustment.
  • Analysis: Automated action and event detection, Situation analysis as well as highly complex emotion and intention recognition.

Robotics & Assistance Systems
Prof. Al-Hamadi translates theoretical insights directly into practical applications:
  • Cognitive Robotics: Multisensorial environmental perception, autonomous learning through imitation/reinforcement, and AI-supported task planning for adaptive robotics.
  • Human-Robot Interaction: Focus on Productive Teaming, where humans and robots collaborate efficiently as a team.
  • Mobile Robotics: Development of intelligent mobile and stationary robotic systems.
  • Fields of Application: Design of intelligent assistance systems for industrial use (Industry 4.0 and 5.0) and medical contexts (e.g., Diagnostics by Appearance).

Serviceangebot

1. Research & Development (R&D)
  • Development of customized deep learning algorithms and pattern recognition solutions.
  • Design and implementation of intelligent systems, e.g., for automated quality control.
  • High‑precision, non‑contact measurement technologies for industrial and medical applications.

2. Consulting & Strategy
  • Supporting companies in adopting AI and advancing digital transformation (Industry 4.0 and 5.0).
  • Evaluation and optimization of data processing systems through sensor fusion and system analysis.
  • Scientific assessments and audits in Electrical and Information Engineering.

3. Industrial Solutions (Smart Industry)
  • Integration of Human‑Robot Collaboration (HRC) into existing production lines.
  • Development of intelligent assistive devices and wearables with gesture control for complex tasks.
  • Real‑time systems for automated event and action recognition in industrial environments.

4. Medical Informatics (Smart Health)
  •  AI‑based tools for early medical detection using visual data (e.g., skin changes or facial analysis).
  • Movement monitoring and robot‑assisted support systems for rehabilitation processes.

5. Transfer & Continuing Education
  •  Promoting scientific collaboration between Germany and international partners, with a special focus on the Arab region.
  • Specialized professional training for engineers in Machine Learning, Signal Processing, and Computer Vision.

Forschung • Kooperationen

Projekte

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Kooperationsliste

  • University of Sharjah,(UAE), Prof. Dr. Zaher Al Aghbari
  • Universität Ulm, Prof. Dr. Harald C. Traue
  • Volkswagen AG, Konzernforschung; Forschung Virtuelle Technik/ Dr.-Ing. J. Tümler und Prof. S. Werner
  • Fraunhofer IFF Magdeburg, Geschäftsfeld Virtual Engineering/ Dr.-Ing. R. Mecke
  • Universität Ulm, Prof. Dr-Ing. Klaus Dietmayer
  • Universität Ulm, Prof. Dr. phil. habil. Anke Huckauf
  • Universität Ulm, Prof. Dr.-Ing. Heiko Neumann
  • University of Louisville,(USA), Prof. Dr. Farag
  • Volkswagen AG, Konzernforschung,; Forschung Virtuelle Technik
  • Carl-Zeiss AG
  • Fraunhofer IHH Berlin
  • Fraunhofer-Institut für Werkzeugmaschinen und Umformtechnik IWU
  • HEMA Formenbau + Kunststoffverarbeitung GmbH
  • Lucas instruments GmbH
  • Martin-Mechanic GmbH
  • MartinMechanic GmbH & Co KG
  • Pilz GmbH & Co. KG, Ostfildern
  • Prof. Dr. Joachim Weimann
  • University of Central Lancashire, UK
  • Universität Bielefeld
  • Universität Ulm, Prof. Steffen Walter
  • Universitätsklinik Ulm, Prof Steffen Walter
  • Universitätsklinik Ulm, Prof. Eberhard Barth
  • ZBS e.V. / GBS GmbH Illmenau
  • Zentrum für Bild- und Signalverarbeitung e.V.

Publikationen

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Publikationsliste

2025
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2024
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2023
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2022
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2021
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2020
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2019
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2018
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