- Phone: 801-581-5184
- Email: kasera@cs.utah.edu
- Office: 1897 WEB
- Website: https://www.cs.utah.edu/~kasera/
- Email: joel.harley@ufl.edu
- Phone: 801-581-4345
- Email: elb@cs.utah.edu
- Office: MEB 3142
- Email: jswalling@vt.edu
- Phone: 801-585-1494
- Email: ross.walker@utah.edu
- Office: SMBB 3729
- Email: p.tathireddy@utah.edu
- Email: sriramkrishnamoorthy@ucsb.edu
Sneha Kasera
Associate Dean for Academic Affairs

Joel Harley
Adjunct Assistant Professor
Signal processing for complex wave propagation, cyber-physical systems, structural health monitoring, compressed sensing, matched field processing, machine learning, statistical signal processing, big data, transform theory

Erik Brunvand
Adjunct Professor
Computer architecture and VLSI

Jeffrey Walling
Adjunct Associate Professor, Virginia Tech
Silicon based analog/RF circuits for high-efficiency, high performance transceivers; Ultra low power circuits for wireless sensor networks; Reconfigurable circuits for software defined radio

Ross Walker
Adjunct Associate Professor
Mixed-signal circuits for sensor systems

Prashant Tathireddy
Adjunct Associate Professor
Micro integration, interfacial science, biosensors, medical microsensors

Sriram Krishnamoorthy
Adjunct Assistant Professor, University of California Santa Barbara
Semiconductors-based nanoscale electronic/optoelectronic devices, with focus on material synthesis, electronic transport, design/modeling, nanoscale fabrication, and characterization of devices and materials. Specifically, wide band gap oxide/nitride semiconductor devices for a wide range of applications such as power electronics, ultra-violet optoelectronics, vacuum electronics, and high temperature electronics

Mingyue Ji
Adjunct 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