James J.S. Norton

James J.S. Norton is an Adjunct Professor in the Department of Electrical & Computer Engineering at the University at Albany, with concurrent roles as a Research Scientist at the National Center for Adaptive Neurotechnologies (Stratton VA Medical Center). His research focuses on developing innovative neurotechnologies including brain-computer interfaces (BCIs), spinal reflex conditioning systems, and epidermal electronic devices for medical applications.

Education includes a Ph.D. in Neuroscience (University of Illinois, 2017), M.S. in Electrical and Computer Engineering (University of Illinois, 2019), and B.S. in Psychology (University of Florida, 2010).

Research interests span

• BCI systems using SSVEP paradigms
• Microfluidic devices for cancer research
• Spinal reflex operant conditioning
• Wearable neurotechnology
• Neural signal processing algorithms

with applications in rehabilitation medicine and assistive technologies.

Publication analysis reveals a strong focus on translational neuroengineering, with recent work emphasizing: 1) Optimization of BCI classification methods, 2) Integration of flexible electronics in medical devices, 3) Development of new spinal reflex conditioning protocols, and 4) Applications of machine learning in neural signal processing.

Awards and recognitions include:

• Best Paper Award at IEEE Ubiquitous Computing Conference (2018)
• National Science Foundation Integrative Graduate Education Fellowship (2012-2014)
• Web design recognition from President Obama for federal best practices (2011)

Mentoring activities include advising 15+ graduate students and 50+ undergraduate researchers on projects ranging from microfluidic device development to neural signal processing algorithms. Secured funding from NSF, VA Medical Center, and University of Illinois program grants for research infrastructure development.

Directs the Neurotechnology Research Laboratory at Albany Stratton VA Medical Center, focusing on adaptive neurotechnologies for rehabilitation. Collaborates with multi-institutional teams including UIUC, Wadsworth Center, and University of Florida on BCI development and applications.