معرفی
Serap Savari is an Associate Professor in the Department of Electrical and Computer Engineering at Texas A&M University, College of Engineering. She holds a Ph.D. from the Massachusetts Institute of Technology (1996). Her research focuses on information theory, data compression, network coding, and computing/communication systems. Her work spans applications in semiconductor manufacturing analytics, image processing (SEM imaging), and network optimization.
Her research includes advancements in image registration techniques, error analysis in superresolution imaging, and deep learning applications for denoising SEM images. She has contributed to compression algorithms for lithography systems and network coding methodologies for constrained networks. Savari’s work bridges theoretical foundations (e.g., fix-free codes, entropy conservation) with practical engineering challenges in manufacturing and communication systems.
Her publications reflect a trajectory from foundational coding theory (1990s) to modern applications in AI-driven image analysis (2020s). Notable contributions include optimizing multibeam mask writers and developing uncertainty quantification methods for semiconductor line-edge roughness.
No scientific awards are explicitly listed in the provided text. She has advised no students listed here, though her research may involve collaborative teams. Her office is located in WEB 308G, with contact via savari@tamu.edu.
