Dr. Mohamed Ferrag, a Lead Researcher at AIDRC, received the "Algeria Scopus Award" from Algeria's Ministry of Education and Higher Research for his contributions to computer science. Dr. Ferrag is an IEEE Senior Member and has authored many scientific papers and books. He was also ranked among the World's Top 2% Scientists from Stanford University in 2020-2022. Why it matters: This award recognizes and encourages scientific research and talent within the Algerian AI and computer science community.
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.
Dr. Thierry Lestable, Executive Director of AIDRC, was interviewed at Black Hat USA 2022, discussing AIDRC's projects in Cyber Reasoning Systems (CRS) and infrastructure security. He highlighted the growing availability of AI within system design, advances in LLMs, and the impact of quantum computing on cybersecurity. He emphasized AIDRC's commitment to developing cybersecurity systems and software. Why it matters: The interview showcases AIDRC's contributions to cybersecurity research and development, highlighting the UAE's growing role in addressing global cybersecurity challenges through AI and advanced technologies.
AIDRC researchers co-authored an accepted IEEE Vehicular Technology Magazine article on time reversal for 6G wireless communications. The article presents experimental results on the spatiotemporal focusing capability of time reversal across carrier frequencies. It examines requirements for efficient time reversal operation and synergies with technologies like reconfigurable intelligent surfaces. Why it matters: The research explores advancements in 6G wireless communication, with potential implications for coverage extension, sensing, and localization capabilities in the region.
The AI and Digital Science Research Center (AIDRC) at TII collaborated with MBZUAI and Kuwait College of Science and Technology (KCST) on an IEEE Network magazine paper. The paper, titled ‘Realizing the Tactile Internet through Intelligent Zero Touch Network,’ addresses technological advances in Tactile Internet, proposing intelligent solutions at the network edge. It analyzes technical issues and proposes a zero-touch networking approach for applications like haptics and industrial automation. Why it matters: The research provides a key reference for using AI to support Tactile Internet services in the UAE and GCC, crucial for smart cities, healthcare, and automation.
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.
Prof. George Alexandropoulos from the AI and Digital Science Research Center (AIDRC) at TII presented a keynote at the RIS Technical Alliance (RISTA) forum. The presentation focused on hybrid reconfigurable intelligent surfaces for wireless communication and sensing applications. He discussed the role of RIS technology in enabling smart wireless environments within 5G and 6G networks. Why it matters: This highlights the UAE's contribution to cutting-edge research in next-generation wireless communication technologies and its potential impact on future network architectures.
A research paper co-authored by Dr. Maxim Panov and Kirill Fedyanin from the AI and Digital Science Research Center (AIDRC) has been accepted for publication at NeurIPS 2022. The paper, titled “Nonparametric Uncertainty Quantification for Single Deterministic Neural Network”, proposes a fast and scalable method for uncertainty quantification in ML models. The method disentangles aleatoric and epistemic uncertainties and was validated on text classification and image datasets including MNIST and ImageNet. Why it matters: This demonstrates the growing AI research capabilities and contributions from the UAE to the global AI community, particularly in fundamental machine learning research.