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
- Phone: 801-585-7367
- Email: rchen@ece.utah.edu
- Office: MEB 3106
- Website: Prof. Chen's Profile
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
- Phone: 801-587-7959
- Email: farhang@ece.utah.edu
- Office: MEB 3240
- Website: Prof. Farhang's Profile
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
- Phone: 801-587-7255
- Email: mingyue.ji@utah.edu
- Office: MEB 3108
- Website: Prof. Ji's Profile
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
- Phone: 801-213-3675
- Email: neda.nategh@utah.edu
- Office: MEB 2220
- Website: Prof. Nategh's Profile
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
- Phone: 801-581-3539
- Email: tasdizen@ece.utah.edu
- Office: WEB 4893
- Website: Prof. Tasdizen's Profile
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
- Phone: 801-587-5223
- Email: yu.xiang@utah.edu
- Office: MEB 3104
- Website: Prof. Xiang's Profile
Statistical signal processing, information theory, and machine learning: learning under distribution shifts, representation learning, recourse-constrained distributed signal processing
Yi Zhou
Assistant Professor
NSF Career
- Phone: 801-581-5917
- Email: yi.zhou@utah.edu
- Office: MEB 3102
- Website: Prof. Zhou's Profile
Machine learning, artificial intelligence, mathematical programming, deep learning theory, stochastic and nonconvex optimization, reinforcement learning, distributed machine learning system, statistical signal processing