Labs

Communications

Lab Video Description Faculty
Chen Lab Wireless communications, multiple antenna communications, underwater acoustic communication Rong-Rong Chen
Farhang Lab Multicarrier and MIMO communications Behrouz Farhang

Image Processing

Lab Video Description Faculty
Vision Computation Lab Develop image processing and computer vision algorithms Neda Nategh
Scientific Computing & Imaging Institute (SCI) ▶️ Biomedical image analysis and computer vision Tolga Tasdizen

Information Theory and Coding

Lab Video Description Faculty
Chen Lab Information theory for wireless channels,  turbo codes, and LDPC codes Rong-Rong Chen
Xiang Lab Information theory Yu Xiang
Vision Computation Lab Neural information processing Neda Nategh

Signal Processing

Lab Video Description Faculty
Vision Computation Lab Statistical signal processing, neural signal processing, and data analysis Neda Nategh
Chen Lab Statistical signal processing, medical imaging Rong-Rong Chen
Xiang Lab Statistical signal processing, distributed inference Yu Xiang

Machine Learning

Lab Video Description Faculty
Chen Lab Machine learning for wireless communications, machine learning for medical imaging, multi-agent reinforcement learning Rong-Rong Chen
Scientific Computing & Imaging Institute (SCI) ▶️ Deep learning, learning with limited labeled data, interpretable models Tolga Tasdizen
Vision Computation Lab Statistical modeling and inference, mathematical modeling of neural systems Neda Nategh
Xiang Lab Learning under distribution shifts, representation learning Yu Xiang

Faculty

Rong Rong Chen

Associate Professor

Signal processing and communication systems: efficient utilization of multiple antennas for high-rate communications in wireless networks, statistical detection methods for underwater acoustic communications, and other fields related to communication systems and statistical signal processing.

Behrouz Farhang

Professor

Filter bank multicarrier communications for underwater acoustic channels, cognitive radios, and multiple access networks; detection algorithms for MIMO and OFDM; implementations on hardware platforms.

Neda Nategh

Associate Professor

Visual computation and computational vision: Research in our lab employs an interdisciplinary approach to understand the real-time, robust, and efficient visual computations performed by our natural vision and to translate this knowledge into computational vision frameworks for machine vision applications, artificial vision solutions, and imaging systems.

Tolga Tasdizen

Associate Chair, USTAR Professor

Image processing and pattern recognition, specifically: geometry-based and statistics-based methods for image filtering, segmentation and feature extraction using high-order partial differential equations for image and surface reconstruction; applying these methods to problems in biomedical imaging, particularly neural circuit reconstruction from very large-scale microscopy image datasets

Yu Xiang

Assistant Professor

Statistical signal processing, information theory, and machine learning: learning under distribution shifts, representation learning, recourse-constrained distributed signal processing