Labs

Communications

Lab 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-Boroujeny
Mingyue Ji Research Lab Lab Video Multicarrier and MIMO communications, mmWave communications, wireless testbeds Mingyue Ji

Image Processing

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

Information Theory and Coding

Lab Lab Video Description Faculty
Mingyue Ji Research Lab Information theory, caching, communication, and computing Mingyue Ji
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 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
Zhou Lab Statistical signal processing Yi Zhou
Xiang Lab Statistical signal processing, distributed inference Yu Xiang
Mingyue Ji Research Lab Lab Video Statistical signal processing Mingyue Ji

Machine Learning

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

Wireless Networking

Lab Lab Video Description Faculty
Mingyue Ji Research Lab Lab Video Dynamic spectrum sharing, stochastic network optimizations, wireless cross layer designs, wireless edge networks, Internet of Things (IoT) networking Mingyue Ji

 

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.

Mingyue Ji

Associate Professor

Information theory, communications, signal processing, storage, distributed computing, fundamental limits, code design and algorithms of caching networks with various structures, channel models and communication schemes. Distributed storage for big data and interaction between distributed (cloud) storage and content delivery networks. Fundamental theory and algorithms of distributed computing for big data

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

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 and information theory

Yi Zhou

Assistant Professor

NSF Career

Machine learning, artificial intelligence, mathematical programming, deep learning theory, stochastic and nonconvex optimization, reinforcement learning, distributed machine learning system, statistical signal processing