James Morizio


Adjunct Associate Professor in the Department of Electrical and Computer Engineering

Over the last decade, Dr. Morizio's research is focused on integrated wireless architectures for neural recording and stimulation devices used for in-vivo electrophysiology. These miniature devices are targeted for freely moving small rodents species(mice) and large non-human primates. Dr. Morizio is involved with integrated sub-system architectures that include electrodes, ASIC integrated electronics, inductive powering, DAQ hardware and analysis software used in electrical and optogenetic stimulation, recording and combo Stimulation/Recording neural interface technologies.

Appointments and Affiliations

  • Adjunct Associate Professor in the Department of Electrical and Computer Engineering
  • Faculty Network Member of The Energy Initiative

Contact Information

  • Office Location: 219 Hudson Hall, Durham, NC 27708
  • Office Phone: (919) 201-7759
  • Email Address: jmorizio@ee.duke.edu
  • Websites:


  • Ph.D. Duke University, 1995
  • M.S.E.E. University Colorado Denver, 1984
  • B.S. Virginia Polytech Institute and State University, 1982

Research Interests

Mixed-Signal VLSI CMOS design, layout and testing, Wireless Neural Interfaces

Neural Signal pre-conditioning, filtering, DAQ, spike detection and stimulation

Sigma Delta ADC and DACs architecture and design

Ultrasound Pre-Amplifier and Buffer Design, 100 Mhz Analog Switching

Liquid Crystal on Silicon (LCOS) Pixel driver and interface

Broadband Phase Lock Loop Design and Modeling

Ultra Wide Band (Ghz) Transceiver Design: VCOs, PLLs, Antenna Drivers, Buffers

Awards, Honors, and Distinctions

  • 15 year service award at Triangle BioSystems International. Harvard Bioscience Inc.. 2016

Courses Taught

  • ECE 493: Projects in Electrical and Computer Engineering
  • ECE 494: Projects in Electrical and Computer Engineering
  • ECE 532: Analog Integrated Circuit Design
  • ECE 539: CMOS VLSI Design Methodologies
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 899: Special Readings in Electrical Engineering

Representative Publications

  • Rossi, MA; Go, V; Murphy, T; Fu, Q; Morizio, J; Yin, HH, A wirelessly controlled implantable LED system for deep brain optogenetic stimulation., Frontiers in Integrative Neuroscience, vol 9 (2015) [10.3389/fnint.2015.00008] [abs].