Overview
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.
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.
Current Appointments & Affiliations
Adjunct Professor in the Department of Electrical and Computer Engineering
·
2023 - Present
Electrical and Computer Engineering,
Pratt School of Engineering
Recent Publications
Rapid and comprehensive detection of viral antibodies and nucleic acids via an acoustofluidic integrated molecular diagnostics chip: AIMDx.
Journal Article Science advances · January 2025 Precise and rapid disease detection is critical for controlling infectious diseases like COVID-19. Current technologies struggle to simultaneously identify viral RNAs and host immune antibodies due to limited integration of sample preparation and detection ... Full text Open Access CiteDesign and Simulation of a Low Power 384-channel Actively Multiplexed Neural Interface.
Conference IEEE Biomedical Circuits and Systems Conference : healthcare technology : [proceedings]. IEEE Biomedical Circuits and Systems Conference · October 2022 Brain computer interfaces (BCIs) provide clinical benefits including partial restoration of lost motor control, vision, speech, and hearing. A fundamental limitation of existing BCIs is their inability to span several areas (> cm2) of the cortex ... Full text Open Access CiteAn Intracortical Implantable Brain-Computer Interface for Telemetric Real-Time Recording and Manipulation of Neuronal Circuits for Closed-Loop Intervention.
Journal Article Frontiers in human neuroscience · January 2021 Recording and manipulating neuronal ensemble activity is a key requirement in advanced neuromodulatory and behavior studies. Devices capable of both recording and manipulating neuronal activity brain-computer interfaces (BCIs) should ideally operate un-tet ... Full text Open Access CiteRecent Grants
Development of a digital acoustofluidic system for automating liquid handling in biomedical research
ResearchCo Investigator · Awarded by National Institute of General Medical Sciences · 2021 - 2026Neuro-CROWN:Optimized Ultra-Flexible CMOS Electrode Arrays for 3D, Low-Noise Neural Interfaces
ResearchCo Investigator · Awarded by National Institutes of Health · 2021 - 2025Development of the Osseointegrated Neural Interface for prosthetic control into a pre-clinical translational sheep model
ResearchPrincipal Investigator · Awarded by U.S. Department of Veterans Affairs · 2020 - 2024View All Grants
Education, Training & Certifications
Duke University ·
1995
Ph.D.
University of Colorado, Boulder ·
1984
M.S.
Virginia Polytech Institute and State University ·
1982
B.S.