|Areas of Expertise
- Biomaterials and tissue engineering
- Biomedical imaging and optics
- Cellular and molecular engineering
- Instrumentation and devices
- Systems and synthetic biology
- Microfluidics: rhythmic respiration in medullary slices, network activity in cell cultures
- Brain-computer interfaces: mental effort, ecog-based bcis, sensory feedback and physical models
- Tissue reaction/biocompatibility: imaging neural responses to implanted electrodes, stimulation and impedance
- Neural engineering
- Functional neurosurgery
- Neural rehabilitation
- Neural prostheses
- Applied neuroscience
|| Justin Williams' Department of Biomedical Engineering Website
|Curriculum Vitae (CV)
- 8,483,794 - Method for implanting an electrode that unfurls in response to a predetermined stimulus, issued July 2013.
- 8,412,302 - Intracranial neural interface system, issued April 2013.
- 8,386,007 - Thin-film micro electrode array and method, issued February 2013.
- 8,078,252 - Intracranial neural interface system, issued December 2011.
- 7,979,105 - Intracranial neural interface system, issued July 2011.
|USPTO Published Applications
- 20130110193 - Method for implanting an electrode that unfurls in response to a predetermined stimulus, published May 2013.
- 20120152361 - Inertia enhanced pumping mechanism and method, published June 2012.
- 20120083752 - Intracranial neural interface system, published April 2012.
- 20110213266 - Closed loop neural activity triggered rehabilitation device and method, published September 2011.
- 20110046470 - Intracranial neural interface system, published February 2011.
- Blue light modulates murine microglial gene expression in the absence of optogenetic protein expression. Cheng KP, Kiernan EA, Eliceiri KW, Williams JC, Watters JJ. Sci Rep. 2016 Feb 17;6:21172. doi: 10.1038/srep21172.
- Wearable second harmonic generation imaging: The sarcomeric bridge to the clinic. Williams JC, Campagnola PJ. Neuron. 2015 Dec 16;88(6):1067-9. doi: 10.1016/j.neuron.2015.12.009.
- Dose-response relationships using brain-computer interface technology impact stroke rehabilitation. Young BM, Nigogosyan Z, Walton LM, Remsik A, Song J, Nair VA, Tyler ME, Edwards DF, Caldera K, Sattin JA, Williams JC, Prabhakaran V. Front Hum Neurosci. 2015 Jun 23;9:361. doi: 10.3389/fnhum.2015.00361. eCollection 2015.
- Dti measures track and predict motor function outcomes in stroke rehabilitation utilizing bci technology. Song J, Nair VA, Young BM, Walton LM, Nigogosyan Z, Remsik A, Tyler ME, Farrar-Edwards D, Caldera KE, Sattin JA, Williams JC, Prabhakaran V. Front Hum Neurosci. 2015 Apr 27;9:195. doi: 10.3389/fnhum.2015.00195. eCollection 2015.
View Justin Williams' publications at Google Scholar.
|Recent Artistic Works
- Intra-University: Anatomy, Medicine, Material Science Program
- Arizona State University, Bioengineering
- University of Michigan, Center for Neural Communication Technology
- William Shain, Wadsworth Center in Albany New York
- Dan Moran, Washington University, St. Louis
||Biomedical Engineering / Materials Science
||Professor and Chair
|Address Line 1
||2150 Engineering Centers Building
|Address Line 2
||1550 Engineering Drive
B.S., South Dakota State University, Mechanical Engineering, 1995
B.S., South Dakota State University, Engineering Physics, 1996
||M.S., Arizona State University, Bioengineering, 2001
||Ph.D., Arizona State University, Bioengineering, 2001
|Technologies Available for Licensing
||Implantable Intracranial Neural Interface System
Microfluidic Device for High Resolution, In Vitro Monitoring of Neuronal Tissue
Neural Probe Array for Stable, Reliable Long-Term Implant Function
Improved Brain-Computer Interface Technology for Long-Term Cortical Stimulation or Recording
Simple Microfluidic Device and Method for Determining Single-Cell Adhesion Strength
Microtube Scaffold for Sensing and Stimulating Nerve Cell Connections
Biomaterials That Modulate Stem Cell Behavior and Osteogenesis
Improved Neuron Electrode Array Uses Graphene
Investigating Cell-Surface Interactions via Chemical Array
Controlling Size and Shape of Stem Cell Colonies with SAM Array