Skip to content
GCC AI Research

Search

Results for "SEC"

KAUST helps slash SEC profit losses using ML

KAUST ·

KAUST and the Saudi Electricity Company (SEC) collaborated to reduce non-technical losses in the Saudi power sector using machine learning. KAUST Visualization Core Lab (KVL) developed models using five years of SEC billing data from the Riyadh area to predict electricity usage and detect anomalous billing transactions. SEC estimates it could recover at least 73,000,000 SAR in lost revenue by correcting anomalies identified by KAUST models. Why it matters: This partnership demonstrates the potential of AI to address inefficiencies and fraud in critical infrastructure sectors in Saudi Arabia.

SEC and KAUST supporting Saudi to reach carbon reduction targets with new technology at Rabigh

KAUST ·

Saudi Electricity Company (SEC) and KAUST have launched a pilot study at SEC’s Rabigh power plant to demonstrate a cryogenic technology that captures multiple pollutants and greenhouse gases, including carbon dioxide. The technology captures over 98% of carbon dioxide from flue gas, as well as sulfur dioxide, nitrogen oxides, and particulate matter, using a single system, unlike current technologies. The streamlined post-processing has a smaller environmental footprint and lower costs. Why it matters: This project supports Saudi Arabia's net-zero carbon goals and offers a potentially more efficient and cost-effective method for retrofitting existing power plants.

Inspirational solar research

KAUST ·

KAUST hosted the Emerging Concepts and Materials in Solar Energy Conversion research conference from October 31 to November 2. The conference gathered scientists to discuss solar energy research, including perovskite solar cells, quantum dot solar cells, and photocatalysis. Rawabi Holding's chairman expressed pride in KAUST's solar research and its potential to address global challenges. Why it matters: By bringing together global experts and fostering discussions on innovative solar technologies, KAUST is contributing to advancements in renewable energy and sustainable solutions for the region.

KAUST hosts first National Hackathon of Energy

KAUST ·

KAUST hosted Saudi Arabia's first National Hackathon of Energy, in partnership with the Saudi Electricity Company's Innovation Energy Incubator. Innovators collaborated to find technical solutions for the Kingdom's energy challenges. Three projects were honored: AI-HUB for cybersecurity, a smart circuit breaker, and 'Amn Al-Kafa’at,' a fire extinguisher system. Why it matters: This hackathon highlights the growing focus on using AI and technology to address energy challenges in Saudi Arabia, with KAUST playing a central role in fostering innovation.

Formal Methods for Modern Payment Protocols

MBZUAI ·

Researchers at ETH Zurich have formalized models of the EMV payment protocol using the Tamarin model checker. They discovered flaws allowing attackers to bypass PIN requirements for high-value purchases on EMV cards like Mastercard and Visa. The team also collaborated with an EMV consortium member to verify the improved EMV Kernel C-8 protocol. Why it matters: This research highlights the importance of formal methods in identifying critical vulnerabilities in widely used payment systems, potentially impacting financial security for consumers in the GCC region and worldwide.

Saudi Arabia takes carbon capture to clean heights through KAUST partnership with ENOWA and SEC

KAUST ·

KAUST, ENOWA, and SEC are partnering on a pilot project to capture 30 tonnes of CO2 per day from SEC’s Green Duba power plant at NEOM, using cryogenic carbon capture technology. The captured carbon will be used for food and beverage applications and to produce e-fuels. Saudi Electricity Company will build and operate the pilot plant. Why it matters: This partnership demonstrates Saudi Arabia's commitment to decarbonization and showcases the potential of cryogenic carbon capture for reducing the Kingdom's carbon footprint.

Security-Enhanced Radio Access Networks for 5G OpenRAN

MBZUAI ·

Dr. Zhiqiang Lin from Ohio State University presented the Security-Enhanced Radio Access Network (SE-RAN) project to address cellular network threats using O-RAN. The project includes 5G-Spector, a framework for detecting L3 protocol exploits via MobiFlow and MobieXpert, and 5G-XSec, a framework leveraging deep learning and LLMs for threat analysis at the network edge. Dr. Lin also outlined a vision for AI convergence with cellular security for enhanced threat detection. Why it matters: Enhancing 5G security through AI and open architectures is critical for protecting next-generation mobile networks in the GCC region and globally.

KAUST-NSF conference brings environmental monitoring experts to campus

KAUST ·

KAUST held a KAUST-U.S. National Science Foundation (NSF) Conference on Environmental Monitoring from November 6 to 8, 2017. The conference focused on sustainability with an emphasis on environmental monitoring and sensing, including data collection, signal processing, and real-time decision-making. Keynote speakers included Ali Sayed (EPFL), Allen Tannenbaum (SUNY Stony Brook), and Dinesh Manocha. Why it matters: Such conferences foster international collaboration and knowledge exchange in applying AI and related technologies to pressing environmental challenges in Saudi Arabia and globally.