Eren Yildiz

My research focuses on developing sustainable and intelligent computing systems through cross-layer hardware–software co-design. I investigate how computing systems can remain reliable, efficient, and intelligent despite limited and dynamically changing energy and computational resources. My work spans embedded systems, computer architecture, runtime and programming systems, and embedded and edge AI, with a particular emphasis on battery-free and intermittent computing, energy harvesting and management, and resource-efficient intelligence.

A major part of my research has focused on enabling long-lived and energy-constrained sensing and computing systems. I develop hardware architectures, energy-management mechanisms, runtime systems, and programming abstractions that allow devices to operate reliably despite unpredictable energy availability. Building on these foundations, I am developing adaptive embedded intelligence, including input-adaptive inference, budget- and input-aware computation, data-free model compression, and on-device adaptation under intermittent power.

Looking forward, my goal is to develop adaptive and sustainable computing systems across the hardware–software stack. I am particularly interested in systems where computation, energy management, and intelligence adapt together—from emerging energy-efficient hardware architectures and autonomous sensing devices to heterogeneous and distributed edge platforms.