معرفی
Phillip Gibbons is a Professor in the Department of Computer Science at Carnegie Mellon University, affiliated with the School of Computer Science. His research focuses on Systems, particularly in robotics computing, heterogeneous hardware, and architectural optimization.
Recent research trends include hybrid convolution-transformer models for AR/VR systems, robotics performance benchmarking, and neural architecture search for NPU-CIM heterogeneous devices. His work bridges machine learning and computer architecture for modern hardware platforms.
Publications (2024-2025) highlight collaborations in robotics computing and hybrid AI-hardware systems. Notable contributions include the RobotPerf benchmarking suite and studies on autonomous systems hardware integration.
Students: Siyuan Chen, Valerie Choung, Hyoungjoo Kim.
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