The ICMISI’2025 Conference is thrilled to announce the organization of an incredible workshop by King Abdullah University for Science and Technology (KAUST) Saudi Arabia jointly with the Arab Academy for Science and Technology (AASTMT), on the recent advances of:
  “Generative AI and the Potential Disruption of Next-Generation Intelligent Systems”
  Sunday, 11th May 2025, on the margin of the ICMISI’2025 Conference.
✨ The workshop will start with an opening talk introduced by Prof. Ahmed Eltawil and Prof. Sherin Youssef, followed by tutorial sessions presented by esteemed expert speakers from KAUST University and AAST. The workshop schedules a series of technical talks, concluding with a panel discussion on the application of AI in communication systems. 

✨ Participants will receive a Certificate of Attendance jointly certified by KAUST and AAST. 
>>> To register for this workshop, kindly use the following Link: https://forms.gle/sjFC1ggzqcjeB9j4A

A brief workshop agenda::

• Welcome and opening Session by Prof. Sherin Youssef
• Opening Talk, by Prof. Ahmed Eltawil, on “Deep Learning Empowered Solutions for Future Wireless Generation Network”
• Tutorial Sessions {introduced by expert speakers}:

            “At the Dawn of 6GenAI: Generative Models and Multi-Modal LLMs for 6G Wireless Intelligence”

Abstract: 6GenAI represents the rendezvous of 6G and Generative AI (GenAI) technologies to shape the future technology landscape that will bring once-futuristic visions into life. Although analytical models lay the foundations and offer systematic insights, the field has recently witnessed a noticeable surge in research efforts suggesting that machine learning (ML) and artificial intelligence (AI) can efficiently deal with complex problems by complementing or replacing model-based approaches. The majority of data-driven wireless research leans heavily on discriminative AI (DAI) that requires vast real-world datasets. Unlike DAI, generative AI (GenAI) pertains to generative models (GMs) capable of discerning the underlying data distribution, patterns, and features of the input data. Therefore, GenAI can complement DAI methods in various capacities, including data augmentation/imputation, disentanglement, and anomaly detection, among others. This makes GenAI a crucial asset in the wireless domain, where real-world data is often scarce, incomplete, or costly to acquire.

• The tutorial sessions explore preliminaries of 6G and wireless intelligence by outlining candidate 6G applications and services, presenting a taxonomy of state-of-the-art DAI models, exemplifying prominent DAI use cases, and elucidating the multifaceted ways through which GenAI enhances DAI. Subsequently, seminal GM examples are presented, i.e. generative adversarial networks, variational autoencoders, denoising diffusion probabilistic models, normalizing flows, attention mechanisms and generative transformers, and multi-modal large language models, to name a few. 

✨ The workshop will also introduce a Session on “IoT Systems and the Latest advances in  Smart embedded Systems and Sensors Technology”