Special Session 1

ArtificiaI intelligence for real-time systems: Methods, applications and challenges

This special session is organised and supported by  the following educational partner

Tishk International University, Erbil-Iraq

 

Session Chair:

• Prof. Kasim Mousa Al-Aubidy, Tishk International University, Erbil, Iraq

 

Session Co-Chairs:

• Prof. Adnan Al-Anbuky, Auckland University of Technology, New Zealand.

• Prof. Faouzi Derbel, Leipzig University of Applied Sciences, Germany.

• Prof. Nabil Derbel, Sfax University, Tunisia.

• Prof. Yousif Al Mashhadany, University of Anbar, Iraq.

• Prof. Mohamed A. Deriche, Ajman University, UAE.

• Prof. Mohammed Baniyounis, Philadelphia University, Jordan.

• Prof. Abdul Wahid Al-Saif, KFUPM, Saudi Arabia.

• Dr. Carlo Trigona, University of Catania, Italy.

• Dr. Ezideen Hasso, Tishk International University, Erbil, Iraq.

• Dr. Mohammed Salih, The University of Leeds, UK.

• Dr Musaria Karim, Bilkent University, Ankara-Turkey.

• Dr Mouna Rakik, National Enigneering School of Sfax (ENIS), Tunisia.

 

Synopsis:

Artificial intelligence (AI) has rapidly changed the design and operation of real-time systems in robotics, industrial automation, autonomous systems, healthcare, transportation, and smart infrastructure. This session explores AI integration into real-time systems, which must be reliable, responsive, and on time. It will discuss recent advances in machine learning, deep learning, and reinforcement learning in real-time systems. Latency, computational efficiency, scalability, resilience, and safety in real-time applications will be prioritized. Researchers can submit theoretical and practical papers on real-time monitoring and control, embedded intelligent systems, IoT, and autonomous decision-making. This special session introduces new ideas, encourages collaboration, and highlights cutting-edge AI solutions for real-time applications.

 

Topics:

This special session welcomes the submission of unpublished research papers on subjects related to the application of AI in real-time systems, including but not limited to:

• Autonomous learning and feature extraction.
• Computer vision and image understanding.
• Natural Language Processing.
• Robotics and smart automation Real-time decision-making systems.
•  Healthcare and biomedical systems.
• Internet of Things and real-time monitoring and control.