Gökçe Aydos

Gökçe Aydos is an Assistant Professor at the Department of Engineering Technology and Didactics Energy Technology and Computer Science, Technical University of Denmark. Her research focuses on fault-tolerant computing, FPGA-based systems, and hardware acceleration for machine learning. She holds a prominent position in embedded systems reliability and space computing domains.

Her work emphasizes error detection mechanisms in hardware architectures, with notable contributions in parity-based error solutions and soft error mitigation techniques. Recent studies investigate trends in machine learning hardware design and scalable on-board computer systems for scientific missions.

Research themes include:

• Soft error detection in FPGAs
• Fault-tolerant spaceborne computing
• Hardware-software co-design for reliability
• Machine learning accelerators

Publications span from 2012 to 2023, showing sustained focus on embedded system reliability with applications in aerospace and medical imaging. No scientific awards have been listed in available records.

Advising and grants information is not explicitly stated in provided materials. Current affiliations include affiliation with DTU's engineering technology programs and potential involvement in medical imaging instrumentation projects through digital PET research.