Jeff Dix

Jeff Dix is an Assistant Professor in the Department of Electrical Engineering at the University of Arkansas, College of Engineering. He received his B.S., M.S., and Ph.D. in Electrical Engineering from the University of Tennessee at Knoxville in 2013, 2015, and 2018, respectively. He leads the Integrated Systems Laboratory for ANalog Design (ISLAND), focusing on analog/mixed-signal integrated circuits for energy-efficient applications.

• B.S., Electrical Engineering, University of Tennessee at Knoxville
• M.S., Electrical Engineering, University of Tennessee at Knoxville
• Ph.D., Electrical Engineering, University of Tennessee at Knoxville

His research spans four key areas: (1) Neural network/neuromorphic hardware for IoT/edge computing; (2) Extreme environment IC design (radiation-hardening, temperature extremes); (3) Subthreshold/weak inversion IC design for ultra-low power; and (4) Power electronics for electric vehicles and micro-grids. His work emphasizes energy efficiency and robustness in specialized operational contexts.

Recent publications highlight trends in radiation-hardened analog circuits (2021), RF energy harvesting (2022), and neuromorphic hardware (2023). Key keywords include Integrated Circuit Design, Machine Learning Hardware, and Low Power Electronics.

He teaches courses in analog/digital IC design, microelectronics, and neural network hardware, including Circuits I (ELEG 2103), Electronics II (ELEG 3223), and IC Design Lab I (ELEG 4243L/5253L).