NEW YORK, Sept. 16, 2025 /PRNewswire/ — Cohen & Steers, Inc. (NYSE: CNS) announced today the appointment of John Gellatly as Senior Advisor. Based in London, Mr. Gellatly will work closely with Marc Haynes, Head of International Institutional Distribution, and Seth Laughlin, Head of Real Estate Strategy & Research, to strengthen the firm’s international client relationships and develop new partnerships. He will advise clients on real estate strategy, sharing his unique perspectives and investment experience integrating listed and private assets.

Mr. Gellatly has nearly four decades’ experience in real estate investing. He most recently served as CIO Real Estate for the Abu Dhabi Investment Council (ADIC) with responsibility for the oversight and management of one of the world’s largest global real estate investment portfolios. Prior to ADIC, he held senior positions at Aviva Investors and BlackRock and his experiences span a breadth of roles analyzing, investing and managing real estate assets, platforms and products and across both equities and debt, public and private markets and across geographies and sectors.

Marc Haynes, Head of International Institutional Distribution, said: 
“John brings a deep understanding of the challenges facing large institutional investors in real estate together with real world implementation experience. We are thrilled to welcome him to the Cohen & Steers team and look forward to benefiting from his global network and unique expertise. His appointment demonstrates our commitment to our international clients and comes at a time when many institutional investors are seeking to reposition their real estate portfolios for the new regime. John will be a great asset, both for our clients and for Cohen & Steers.”

About Cohen & Steers. Cohen & Steers is a leading global investment manager specializing in real assets and alternative income, including listed and private real estate, preferred securities, infrastructure, resource equities, commodities, as well as multi-strategy solutions. Founded in 1986, the firm is headquartered in New York City, with offices in London, Dublin, Hong Kong, Tokyo and Singapore.

CONTACT: Robert Klemens
Vice President, Communications
media@cohenandsteers.com

Website: https://www.cohenandsteers.com
Symbol: NYSE: CNS

Forward-Looking Statements
This press release and other statements that Cohen & Steers may make may contain forward looking statements within the meaning of Section 27A of the Securities Act of 1933, as amended, and Section 21E of the Securities Exchange Act of 1934, as amended, which reflect the Company’s current views with respect to, among other things, the Company’s operations and financial performance. You can identify these forward-looking statements by the use of words such as “outlook,” “believes,” “expects,” “potential,” “may,” “will,” “should,” “seeks,” “predicts,” “intends,” “plans,” “estimates,” “anticipates” or the negative versions of these words or other comparable words. Such forward-looking statements are subject to various risks and uncertainties. Accordingly, there are or will be important factors that could cause actual outcomes or results to differ materially from those indicated in these forward-looking statements. The Company undertakes no obligation to publicly update or review any forward-looking statement, whether as a result of new information, future developments or otherwise.

XUZHOU, China, Sept. 16, 2025 /PRNewswire/ — On September 9, Mr. Chen Yiwan, Equipment Supervisor at China Tower Corporation Limited Xuzhou Xinyi Branch, visited State Grid Xuzhou Power Supply Company to inspect the operational effectiveness of the company’s smart anti-drowning system during the summer vacation period. He expressed a strong willingness to integrate the cameras installed on the three transmission towers along the Shu River into the system, thereby contributing to the enhancement of the city’s anti-drowning network.

The Xuzhou region is characterized by a dense network of waterways, and the challenge of preventing drowning incidents during the summer vacation remains significant. Traditional methods, such as manual patrols and online monitoring, often suffer from limited coverage and insufficient intelligence. To address these issues, State Grid Xuzhou Power Supply Company independently developed a smart anti-drowning system, which was officially launched on June 30. The system integrates with the existing transmission line visualization monitoring infrastructure and centrally connects to all cameras installed on transmission towers located near open water areas throughout the city. Utilizing AI-based image and behavior recognition technologies, the system continuously monitors water areas in real time.

When individuals are detected approaching hazardous waters, the system automatically activates a comprehensive triple-response mechanism: “intelligent early warning, aerial intervention, and ground coordination.” It captures real-time video footage and locks the GPS coordinates of the detected individuals. Subsequently, the “Navigator” unmanned aerial vehicle (UAV), independently developed by State Grid Xuzhou Power Supply Company, is dispatched from a nearby location to fly to the scene. Using high-altitude audio announcements, the UAV issues warnings to persuade individuals to leave the area. Simultaneously, the system sends the location details to nearby grid workers, enabling them to respond promptly and carry out necessary rescue operations, thereby establishing an integrated closed-loop drowning prevention process.

Statistical data indicate that since the system’s deployment, it has issued over 170 alerts, with more than 60% targeting situations involving children at risk. Additionally, drones have been deployed over 40 times to warn and persuade individuals playing in the water to evacuate. These interventions have significantly reduced the incidence of drowning among minors during the summer vacation period.

XUZHOU,China, Sept. 16, 2025 /PRNewswire/ — Recently, the operation and maintenance personnel of State Grid Xuzhou Power Supply Company conducted a comprehensive clearance operation targeting super-tall trees beneath the No. 1–3 and No. 4–5 conductors of the 220-kilovolt Qingni 2W78 line, based on the risk level results from the “Tree Obstacle Digital Archive.”

Prior to the operation, the personnel accurately identified the locations of trees under the power lines using the power transmission visualization system and deployed drones to perform rapid on-site verification. During the operation, while maintaining a safe distance, the maintenance team carried out standardized tree-felling procedures and utilized a laser foreign object removal device to precisely trim overgrown branches, thereby enhancing both operational safety and efficiency.

During the summer months, when rainfall is abundant and vegetation grows rapidly, conflicts between tree growth and overhead power lines become a significant threat to grid safety. In the face of a large number of tree-related hazards, the traditional manual inspection method is not only inefficient but also costly. Under this approach, field personnel must visit sites in person, visually estimate or use distance meters to measure the distance between trees and conductors, and then propose solutions based on their experience and observations of tree growth.

To address this challenge, State Grid Xuzhou Power Supply Company has actively adopted technological innovations by applying unmanned aerial vehicle (UAV) laser point cloud scanning technology to establish a new model for managing tree-line hazards. For key sections with dense tree obstacles, drones equipped with laser pan-tilt units are used to collect detailed tree data, enabling the construction of precise 3D models and the calculation of accurate clearance distances between trees and power lines.

“Drone-based laser point cloud scanning is akin to conducting a high-precision ‘CT scan’ of the power corridor,” explained Yang Tengteng, a full-time staff member responsible for transmission line operation and maintenance management in the Equipment Department of State Grid Xuzhou Power Supply Company. “This method enables the accurate capture of key data such as tree coordinates, quantity, and height, forming a comprehensive ‘Digital Archive of Tree Obstacles.’ The system also automatically classifies risk levels into three categories—general, serious, and urgent—based on predefined safety thresholds, thereby providing data-driven support for the scientific planning and efficient execution of tree obstacle management strategies.”

By leveraging drone laser point cloud technology to create digital records of tree obstacles, inspection efficiency has improved by 50% compared to traditional methods. Additionally, the measurement error for tree-to-line distances has been reduced to the centimeter level, significantly enhancing the accuracy of hazard identification. To date, the company has collected data from 283 suspected tree-obstructed sections using this technology and identified 33 serious tree-line hazards, all of which have been fully addressed through a closed-loop rectification process.