Shady Keyrouz

University of Notre Dame, Notre Dame University – Louaize

Papers

Total Citations

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About

Shady Keyrouz is a researcher specializing in computational auditory processing, robotic audition, and binaural sound localization. His work sits at the intersection of signal processing, artificial intelligence, and humanoid robotics, with a particular focus on replicating and harnessing the remarkable capabilities of the human auditory system in machine contexts. Among his most notable contributions is his 2007 paper on high-performance 3D sound localization for surveillance applications, which has garnered 15 citations and addresses the critical challenge of detecting alerting signals outside a visual attention field — a scenario where traditional camera-based surveillance systems fundamentally fail. This work demonstrates how omni-directional auditory sensitivity can be engineered into automated systems to dramatically improve situational awareness. Keyrouz has also made significant strides in humanoid robotics, developing binaural sound tracking frameworks that leverage Kalman filtering and Head-Related Transfer Functions (HRTFs) to achieve precise directional hearing in robotic platforms. His research into Bayesian network-based fusion of binaural and monaural audio signals further illustrates his commitment to probabilistic, physically grounded approaches to machine hearing. Together, his contributions represent foundational work for researchers interested in building robots and surveillance systems that truly listen.