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The next generation of wireless networks will become the dominant means for video content delivery, leveraging rapidly expanding cellular and local area network infrastructure. We believe that video networks at every time-scale and layer should operate and adapt with respect to perceptual distortions in the video stream.

Prof. Sujay Sanghavi and Prof. Sanjay Shakkottai of UT ECE have received a National Science Foundation (NSF) award for their work on "NeTS: Small: Inverse Problems from Cascades: Structure, Causation and Opinions." Professors Sanghavi and Shakkottai aim to develop a new theoretical and algorithmic understanding of these classic processes. Their  focus is on using cascades as an inference and learning tool, instead of merely a mathematically convenient model.