Scott Mahlke

Scott Mahlke

Mahlke’s research focuses on novel methods for designing energy-efficient high performance computer systems. Hardware-software codesign is used to create specialized computer systems that are customized to application domains or even individual applications....
Liyue Shen

Liyue Shen

Prof Shen’s research interest is in Biomedical AI, which lies in the interdisciplinary areas of machine learning, computer vision, signal and image processing, medical image analysis, biomedical imaging, and data science. She is particularly interested in...
Raj Nadakuditi

Raj Nadakuditi

Prof. Nadakuditi particularly enjoys using random matrix theory to address problems that arise in statistical signal processing. An important component of his work is applying it in real-world settings to tease out low-level signals from sensor, oceanographic,...

Han Guo

Year 2014-2015 Research Description Efficient Algorithms for Light Transmission, Focusing and Scattering Matrix Retrieval in Highly Diffusive 3D Random Media.