James Morizio

Adjunct Professor in the Department of Electrical and Computer Engineering

Over the last three decades Dr. Morizio's research has been focused on exploring new analog CMOS microelectronics and systems for cross discipline research areas. One objective of his research is to provide disruptive sensor interface technology in niche applications areas to significantly improve system performance and capabilities beyond their current level of technology integration. These current research areas include wireless neural interface systems for closed loop in vivo electrophysiology instrumentation and highly efficient broadband transducer drivers for scalable ultrasonic microfluidic interfaces. 

Dr. Morizio also has 35 years experience at Duke University teaching analog and digital VLSI circuit design courses and is the co-inventor of 8 issued patents.

Appointments and Affiliations

  • Adjunct Professor in the Department of Electrical and Computer Engineering
  • Faculty Network Member of the Duke Institute for Brain Sciences

Contact Information

Education

  • B.S. Virginia Polytech Institute and State University, 1982
  • M.S. University of Colorado, Boulder, 1984
  • Ph.D. Duke University, 1995
  • Xidian University (China), 2024

Research Interests

Mixed-Signal CMOS VLSI circuit design, layout and testing
Bioelectronic circuits for wireless neural interfaces: Recording and Stimulation
Hybrid Backscatter Transceiver Design
Sigma Delta ADC and DACs architecture and circuit design
Highly Efficient Ultrasound Microfluidic Transducer Interface Driver
Liquid Crystal on Silicon (LCOS) Pixel driver and interface
Broadband Phase Lock Loop Design and Modeling for VCOs, PLLs, Antenna Drivers, Buffers

Awards, Honors, and Distinctions

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

Courses Taught

  • ECE 899: Special Readings in Electrical Engineering
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • ECE 539: CMOS VLSI Design Methodologies
  • ECE 532: Analog Integrated Circuit Design
  • ECE 495: Special Topics in Electrical and Computer Engineering
  • ECE 392: Projects in Electrical and Computer Engineering
  • ECE 391: Projects in Electrical and Computer Engineering

Representative Publications

  • Garrett, Aliesha, Naama Darzi, Ashlesha Deshmukh, Nataly Rosenfeld, Omer Goldman, Lital Adler, Elizabeta Bab-Dinitz, et al. “Vagal blockade of the brain-liver axis deters cancer-associated cachexia.” Cell 188, no. 21 (October 16, 2025): 6044-6063.e24. https://doi.org/10.1016/j.cell.2025.07.016.
  • Qian, Jiao, Jianping Xia, Samantha Chiang, Jessica F. Liu, Ke Li, Feng Li, Fang Wei, et al. “Rapid and comprehensive detection of viral antibodies and nucleic acids via an acoustofluidic integrated molecular diagnostics chip: AIMDx.” Science Advances 11, no. 3 (January 2025): eadt5464. https://doi.org/10.1126/sciadv.adt5464.
  • Sears, Lucas, Ashlesha Deshmukh, Rishith Mereddy, Vinson Go, Brett Nemke, Yan Lu, Weifeng Zeng, et al. “Pre-clinical development of a wireless neural interface system for osseointegrated prosthetic control in sheep.” Frontiers in Neuroscience 19 (January 2025): 1681136. https://doi.org/10.3389/fnins.2025.1681136.
  • Shull, Gabriella, Yieljae Shin, Jonathan Viventi, Thomas Jochum, James Morizio, Kyung Jin Seo, and Hui Fang. “Design and Simulation of a Low Power 384-channel Actively Multiplexed Neural Interface.” In IEEE Biomedical Circuits and Systems Conference : Healthcare Technology : [Proceedings]. IEEE Biomedical Circuits and Systems Conference, 2022:477–81, 2022. https://doi.org/10.1109/biocas54905.2022.9948553.
  • Zaer, Hamed, Ashlesha Deshmukh, Dariusz Orlowski, Wei Fan, Pierre-Hugues Prouvot, Andreas Nørgaard Glud, Morten Bjørn Jensen, et al. “An Intracortical Implantable Brain-Computer Interface for Telemetric Real-Time Recording and Manipulation of Neuronal Circuits for Closed-Loop Intervention.” Frontiers in Human Neuroscience 15 (January 2021): 618626. https://doi.org/10.3389/fnhum.2021.618626.