Highlights

The event time has been revised to start at 2:00 pm. Abstract Integrated Sensing and Communications (ISAC) represents a paradigm shift from conventional communication-only networks toward systems that natively integrate radar-like sensing capabilities. It has become a foundational technology for next-generation wireless systems, including Wi-Fi and 6G networks. Bi-static sensing, where a sensing receiver exploits […]

Abstract The development of whole-body MRI scanners in the late 1980s at field strengths of 1.5T, together with other fundamental technological advances such shielded field gradients and single-shot spatial localization techniques, enabled the non-invasive collection of spectra from the human in just a few minutes of scan time. Since that time, there have been many […]

The event has been rescheduled to December 8, 2025 (Monday). Abstract Resonators are often the first apparatus to be constructed and thoroughly investigated when a new region of the spectrum is being explored. From the days of spark-gap generators in early radio transmission to the more recent maser and laser era, resonant systems have always been essential in […]

All EEE postgraduate (TPg & RPg) students are welcome! The upcoming “HKU-KAUST Joint Postgraduate Workshop on Computational Imaging 2025” will be held on December 13, 2025, organised by the Computational Imaging & Mixed Representation Laboratory. The workshop aims to encourage innovative spirit, promote excellence and sustain quality, strive for improvement, and connect communities. For details […]

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Abstract This talk highlights the critical need and urgency for academic communities to advance artificial intelligence (AI) with a focus on value-driven and socially-beneficial LLMs. The presentation is structured in two parts. First, I will briefly outline my academic and research background, our vision for AI for Social Good, and key contributions from over a […]

Abstract I will overview our recent results on diffusion generative modelling and how to make inference faster, just in a few steps; also, I will provide some new concepts of Engineering AI and discuss how we can construct efficient multi-agent systems based on knowledge graphs and LLMs to solve complex engineering problems. Speaker Prof. Evgeny […]

Abstract The speaker aims to provide an update on recent progress by his research team on machine learning for communication networks. If time permits, he will also highlight his work on distributed quantum computing and quantum machine learning. Efficient allocation of limited resources to competing demands is a crucial issue in the design and management […]