James Morizio

Adjunct Associate Professor in the Department of Electrical and Computer Engineering

Over the last two decades Dr. Morizio's research has been focused on CMOS mixed-signal microelectronics and ASICs used in translational closed-loop, bioelectronic therapies for wireless neural interfaces. These interfaces include sub-system architectures for neural recording and modulation and analog circuits for low noise preamplifier, high channel count multiplexer and programmable current sources. Dr. Morizio's current research is focused on biomedical instrumentation intended for neurological, digestive and immune system disorders with the research goal for human clinical translation. He has over 35 years of analog circuit design experience in industry and academics and co-inventor of 8 patents.

Appointments and Affiliations

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

Contact Information

Education

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

Research Interests

Mixed-Signal CMOS circuit design, layout and testing

Bioelectronic circuits for wireless neural interfaces: Recording and Stimulation

Sigma Delta ADC and DACs architecture and circuit design

Ultrasound Pre-Amplifier and multiplexing

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 532: Analog Integrated Circuit Design
  • ECE 539: CMOS VLSI Design Methodologies
  • ECE 590: Advanced Topics in Electrical and Computer Engineering
  • EGR 393: Research Projects in Engineering

Representative Publications

  • 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.
  • Zhong, Zhanwei, Haodong Zhu, Peiran Zhang, James Morizio, Tony Jun Huang, and Krishnendu Chakrabarty. “Hardware Design and Fault-Tolerant Synthesis for Digital Acoustofluidic Biochips.” Ieee Transactions on Biomedical Circuits and Systems 14, no. 5 (October 2020): 1065–78. https://doi.org/10.1109/tbcas.2020.3018136.
  • Deshmukh, Ashlesha, Logan Brown, Mary F. Barbe, Alan S. Braverman, Ekta Tiwari, Lucas Hobson, Sudha Shunmugam, et al. “Fully implantable neural recording and stimulation interfaces: Peripheral nerve interface applications.” Journal of Neuroscience Methods 333 (March 2020): 108562. https://doi.org/10.1016/j.jneumeth.2019.108562.
  • Zhong, Z., H. Zhu, P. Zhang, J. Morizio, T. J. Huang, and K. Chakrabarty. “Hardware Design and Experimental Demonstrations for Digital Acoustofluidic Biochips.” In Biocas 2019  Biomedical Circuits and Systems Conference, Proceedings, 2019. https://doi.org/10.1109/BIOCAS.2019.8919148.
  • Li, Xiaoran, Shunan Zhong, and James Morizio. “16-Channel biphasic current-mode programmable charge balanced neural stimulation.” Biomedical Engineering Online 16, no. 1 (August 2017): 104. https://doi.org/10.1186/s12938-017-0385-0.