Regular biography
Seda Ogrenci is a Professor of Electrical and Computer Engineering and Professor of Computer Science at Northwestern University's Department of Electrical Engineering. Her research interests include design automation, real-time edge AI/ML for science, thermal aware design of circuits and systems, thermal sensing and cooling systems for high performance systems, and power and energy aware memory systems. She has contributed to various publications in fields such as machine learning, FPGA accelerators, and thermal management in high-performance computing systems.
Scholar-generated biography
Seda Ogrenci is a researcher specializing in Design Automation, Computer Aided Design, Reconfigurable Computing, and Computer Architecture. Her work focuses on optimizing thermal management in microprocessors and multi-core systems through sensor allocation and runtime thermal control. She explores machine learning applications for temperature prediction and resource allocation in high-level synthesis. Her research also includes reconfigurable systems for data compression, edge computing, and FPGA design. Key contributions involve thermal-aware DVFS techniques, routability-driven packing algorithms, and hardware/software co-design for DRAM thermal management. Her publications highlight the integration of AI and domain-specific constraints in embedded systems and reconfigurable architectures.