Ayse Coskun develops intelligent software systems that allow data centers to dynamically adjust workloads, helping stabilize the grid during peak demand. Her use of shared computational resources exemplifies how collaborative infrastructure can drive impactful research in sustainable computing and smart energy systems.

As AI and cloud computing expand rapidly, data centers are projected to consume up to 9% of U.S. electricity by 2030, posing serious challenges to grid stability. Boston University researcher Ayse Coskun, Professor of Electrical and Computer Engineering and Director of the Center for Information & Systems Engineering (CISE), is leading efforts to transform data centers into grid-responsive assets. Her research leverages high-performance computing and intelligent systems engineering to develop software that dynamically adjusts data center workloads in response to grid signals. This approach enables data centers to act as “AI Virtual Power Plants,” reducing strain on the grid while maintaining performance. Coskun’s work, now extended through her role as Chief Scientist at Emerald AI, exemplifies how supercomputing and systems engineering can drive sustainable innovation in energy management.