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.
KAUST Discovery Ph.D. student Chun-Ho Lin received the best paper award at the 2nd International Symposium on Devices and Application of Two-dimensional Materials in June 2016. The award recognizes Lin's contributions to the field of two-dimensional materials. Why it matters: Recognition of KAUST student research highlights the university's contributions to advanced materials science.
Researchers from the AI and Digital Science Research Center (AIDRC) won the Best Paper Award at the 2022 IEEE Global Communications Conference (GLOBECOM) for their paper "RSMA for Dual-Polarized Massive MIMO Networks: A SIC-Free Approach". The paper introduces a dual-polarized RSMA technique for downlink massive MIMO networks, using the polarization domain. Their approach relaxes the computational burden of successive interference cancellation and delivers high data rates. Why it matters: This award recognizes impactful research from the UAE on optimizing wireless communication using AI, which can contribute to advancements in 5G and beyond.
KAUST Ph.D. student Jinhui Xiong won the best paper award at the 24th International Symposium on Vision, Modeling, and Visualization in Germany for his paper "Stochastic Convolutional Sparse Coding". The paper, co-authored with KAUST Professors Peter Richtárik and Wolfgang Heidrich, introduces a novel stochastic spatial-domain solver for Convolutional Sparse Coding (CSC). The proposed algorithm outperforms state-of-the-art solutions in terms of execution time and offers an improved representation for learning dictionaries from sample images. Why it matters: This award recognizes significant research in efficient image representation and dictionary learning, contributing to advancements in visual computing and AI at KAUST.
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.
Cryptography Research Center's Prof. Francisco Rodriguez-Henriquez and PhD candidate Jorge Chavez-Saab won a Best Paper Award ahead of Asiacrypt 2022. Their paper, "SwiftEC: Shallue-van de Woestijne Indifferentiable Function to Elliptic Curves," was written in collaboration with Mehdi Tibouchi of NTT. The paper presents an improved variation of the Elligator Squared technique for representing points of arbitrary elliptic curves as close-to-uniform random strings. Why it matters: The award recognizes important cryptographic research from the UAE, contributing to the advancement of secure digital solutions.
KAUST Ph.D. student Jian Cao received a best paper award from the American Statistical Association (ASA) for his paper on computing high-dimensional normal and Student-t probabilities. The paper uses Tile-Low-Rank Quasi-Monte Carlo and Block Reordering. Cao, a member of Professor Marc Genton's group, will be recognized at the ASA's Joint Statistical Meetings. Why it matters: This award highlights KAUST's strength in high-performance computing and statistical research, contributing to advancements in handling complex, high-dimensional datasets.
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.