Andreas Prodromou, Ph.D., is a Senior Deep Learning Architect at NVIDIA, where they focus on advancing deep learning technologies. With a Ph.D. in Computer Science from the University of California, San Diego, Andreas's research emphasized techniques for scheduling and resource management in heterogeneous hardware. Previously, they contributed to various projects as a Co-op Intern at AMD and as a researcher at the University of Cyprus, leading to multiple publications in prominent conferences, such as IEEE and International Symposium on Microarchitecture. Additionally, their early experience includes an undergraduate research internship at KIOS Research Center.
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