- Phone: 801-581-8282
- Email: neal.patwari@utah.edu
- Office: MEB 2126
- Website: https://patwarilab.com/
- Phone: 801-585-9906
- Email: m.fayazi@utah.edu
- Office: MEB 2124
- Email: evan.benoit@utah.edu
- Email: raheel.bhutta@utah.edu
- Email: habtamu.aycheh@utah.edu
- Email: fatima.mahalian@utah.edu
- Phone: 801-581-8566
- Email: kai.fu@utah.edu
- Office: MEB 2136
- Phone: 801-581-6490
- Email: amy.verkler@utah.edu
- Office: MEB 2260
- Phone: TBD
- Email: jake.george@utah.edu
- Office: Neilsen Rehabilitation Hospital Room 2125B
- Phone: 801-587-5223
- Email: yu.xiang@utah.edu
- Office: MEB 3104
Neal Patwari
Professor
Wireless technologies which improve the security, reliability, and sensing capabilities of future generation networks; and equitable design of automated/AI decision systems.

Morteza Fayazi
Assistant Professor
Electronic Design Automation (EDA), application of Machine Learning (ML) on RF/analog/mixed-signal circuit design, System-on-Chip (SoC) design, Artificial Intelligence (AI), analog circuit design, digital circuit design, data retrieval.

Evan Benoit
Assistant Professor (Lecturer)
Electromagnetics, spread spectrum and sequence time domain reflectometry for impedance measurements.

Raheel Bhutta
Assistant Professor (Lecturer)
Brain computer interface, fNIRS based functional neuroimaging, embedded systems

Habtamu Aycheh
Assistant Professor (Lecturer)
Artificial intelligence (AI)/ machine learning, probabilistic graphical models, bioinformatics and computational neuroscience

Fatemeh Mahalian
Assistant Professor (Lecturer)
Neural networks and signal processing

Kai Fu
Assistant Professor
Semiconductor devices, wide bandgap semiconductors (GaN, AlN, Ga2O3, BN, diamond), material epitaxy science, nanofabrication, semiconductor characterization, reliability, heterogeneous integration, power electronics, high-temperature electronics

Amy Verkler
Assistant Professor (Lecturer)
Engineering Education, Optics

Jacob George
Assistant Professor
Brain-computer interfaces, rehabilitation robotics, neural engineering, bioinspired artificial intelligence, intelligent prostheses and exoskeletons

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