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Seda Ogrenci is a Professor in the Department of Electrical and Computer Engineering at Northwestern University. She holds a PhD in Computer Science from the University of California, Los Angeles, as well as a Master's degree in Electrical and Computer Engineering from Northwestern University and a Bachelor's degree in Electrical and Electronic Engineering from Bogazici University, Istanbul, Turkey. Her research interests focus on Design Automation, real-time edge Artificial Intelligence/Machine Learning, thermal-aware design of circuits and systems, thermal sensing and cooling systems for high-performance systems, and power and energy-aware memory systems. Ogrenci has contributed significantly to the field through various publications, discussing advanced methodologies and systems within these domains. Her selected works include research on high-level synthesis methodologies for dynamic monitoring of FPGA machine learning accelerators and dynamic in-pixel computing.
Standard PhD requirements for TGS departments including Chemistry, Physics, and Sociology.