Research Overview
Advances in wireless communications provide a unique opportunity for the next frontier of AI: making connected intelligence mobile and pervasive. At the same time, advances in AI can revolutionize wireless networks with data driven methods to run complex networks and advanced communication techniques of the future. NYU Wireless researchers are advancing both AI for wireless and wireless for AI. Our work includes ML methods for beamforming in mmWave, massive data channel modeling, connected AI services for wearables, and AI-oriented compression.
Research Topics
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Generative Models for Wireless Channels
Sundeep Rangan, Marco Mezzavilla
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5G Connected Intelligent Wearables for People with Blindness and Low-Vision
JR Rizzo, Yao Wang, Marco Mezzavilla, Sundeep Rangan
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Assisted Robot Navigation
Sundeep Rangan, Elza Erkip, Ludovic Righetti, Siddharth Garg
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ML for CSI Feedback
Elza Erkip, Siddharth Garg
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Scalar Compression Methods for Hypothesis Testing
Elza Erkip, Siddharth Garg
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Neural Distributed Compression
Elza Erkip
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Waste Factor: A New Metric for Evaluating Power Efficiency in any Cascade
Theodore S. Rappaport
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Forecasting Under Concept Drift
Dennis Shasha
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AI-based Integrated Sensing and Communications (ISAC)
Marwa Chafii