KAUST Ph.D. student Valerio Mazzone won the best paper award at the 9th International Conference on Metamaterials, Photonic Crystals and Plasmonics (META). Mazzone's paper demonstrated the design of a new type of fully optical neural network using dielectric nano-lasers with invisible emission. The research showed the system can produce ultrafast optical pulses with controllable period and time duration in an optical chip. Why it matters: This award recognizes KAUST's contribution to innovative research in nanophotonics and optical computing, potentially leading to more efficient and compact laser technology.
KAUST Ph.D. student Mohamed Bahloul received a best paper award at the IEEE Engineering in Medicine and Biology Society (EMBC ‘18) for the Africa and Middle East region. Bahloul's paper presented a three-element fractional-order viscoelastic Windkessel model developed in the EMAN group at KAUST. The model incorporates a fractional-order capacitor, potentially enabling earlier prediction of cardiovascular diseases. Why it matters: The award recognizes impactful research in biomedical engineering at KAUST and highlights the potential for advanced modeling techniques to improve healthcare in the region.
KAUST Ph.D. student Mohammad Shaqura was a finalist for the Best Student Paper Award at the IEEE International Conference. The award is from the Institute of Electrical and Electronics Engineers. The conference and award recognize outstanding contributions from student researchers in electrical and electronics engineering. Why it matters: This recognition highlights the growing talent pool and research capabilities in engineering fields at KAUST.
The Secure Systems Research Center (SSRC) won the Best Paper Award at EWSN 2023 for "BLoB: Beating-based Localization for Single-antenna BLE Devices," which introduces a method using concurrent transmissions to localize Bluetooth tags accurately. The system achieves sub-meter accuracy in indoor environments by having multiple anchors transmit simultaneously. A second SSRC paper, "InSight: Enabling NLOS Classification...", was also a runner-up in the Best Paper category. Why it matters: This award highlights the growing research capabilities in IoT and localization technologies within the GCC region, particularly for indoor environments where GPS is unavailable.
Professor Mérouane Debbah, Chief Researcher at AIDRC, and his co-authors received the 2022 IEEE TAOS TC Best GCSN Paper Award for their work on federated quantized neural networks. The paper, presented at IEEE ICC 2022, explores the tradeoff between energy, precision, and accuracy in these networks. The research proposes an optimal quantization level to minimize energy consumption during training, making it less prohibitive for mobile devices. Why it matters: The award recognizes work that reduces the carbon footprint of large-scale AI systems, a key challenge for sustainable AI deployment in the region and globally.