Keynote Speaker Announcement – ICCKE 2025
We are honored to welcome Prof. Walid Saad from Virginia Tech, USA, as a keynote speaker at the 15th International Conference on Computer and Knowledge Engineering (ICCKE 2025).
Date: Wednesday, October 29, 2025
Time: 16:00 – 17:00 (IRST)
Talk Title: Artificial General Intelligence (AGI)-Native Wireless Systems with Common Sense
Abstract:
Next-generation wireless systems, such as 6G and beyond, are expected to tightly embed artificial intelligence (AI) into their design, giving rise to what is termed AI-native wireless systems. However, despite major academic, industrial, and standardization efforts, the very definition of such systems remains unclear. Current approaches often extend conventional AI for wireless paradigms using classical tools like autoencoders or large-language models to replicate existing functionalities. These approaches face inherent limitations, including opaque AI models, curve-fitting tendencies, dependency on massive datasets, and poor generalizability to unseen scenarios.
In this talk, Prof. Saad introduces a bold, pioneering framework for Artificial General Intelligence (AGI)-native wireless systems. By fusing wireless systems, digital twins, and AI, this architecture brings “common sense” to networks, modeled after human cognition, and based on three components: Perception, World model, Action-planning.
This AGI architecture will enable networks to reason, plan, imagine, and think deeply, leading to unprecedented levels of generalizability, explainability, and cognitive capability. Prof. Saad will present key research results combining AI, theory of mind, digital twins, and game theory, showing how this framework can reduce data needs while boosting reliability — essential for future services like connected intelligence, extended reality, and holography. He will conclude with emerging opportunities at the intersection of wireless communications and AI.
Biography:
Walid Saad (S’07, M’10, SM’15, F’19) is the Rolls Royce Commonwealth Professor in Digital Twin Technology and Professor at the Department of Electrical and Computer Engineering at Virginia Tech, where he leads the Network intelligEnce, Wireless, and Security (NEWS) Laboratory. He received his Ph.D. from the University of Oslo, Norway, in 2010.
His research spans wireless networks (5G/6G/beyond), machine learning, game theory, quantum communications/learning, UAVs, semantic communications, cyber-physical systems, and network science. Prof. Saad is a Fellow of IEEE and recipient of numerous awards, including the NSF CAREER Award (2013), ONR Young Investigator Award (2015), IEEE ComSoc Marconi Prize Award (2023), and IEEE ComSoc Award for Advances in Communication (2023).
He has co-authored twelve conference best paper awards, received multiple IEEE Communications Society recognitions, and is listed annually in the Clarivate Highly Cited Researchers list since 2019. Prof. Saad is the Editor-in-Chief of the IEEE Transactions on Machine Learning in Communications and Networking and serves as an Area Editor for IEEE Transactions on Communications.
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More info: https://iccke.um.ac.ir/2025/en
