Nicholas Waytowich
Brain-Computer Interface and Neural-signal Processing Researcher
Nicholas Roy Waytowich
PhD. Dissertation
Title: Development of a Practical Visual Evoked Potential Based Brain-Computer Interface
Advisor: Dr. Dean J. Krusienski
Description:
Optimized visual stimulus design and developed novel paradigmatic approaches to create a practical visual evoked based brain-computer interface with a flexible software platform and implemented on a Google glass for ergonomic deployment.
Languages
HTML/CSS
Matlab/Python
C/C++/C#,Java
Javascript/jquery
Android,OpenGL,DirectX
Skills
Education
Ph.D. Biomedical Engineering, GPA-4.0
Old Dominion University, Norfolk VA
May 2015 (expected)
Specialization in Brain-Computer Interfaces and EEG Signal Processing
M.Eng. Electrical and Computer Engineering, GPA-4.0
Old Dominion University, Norfolk VA
May 2013
Specialization in Signal Processing and Machine Learning
B.S. Mechanical Engineering, GPA-3.7
University of North Florida, Jacksonville FL
May 2010
Specialization in Robotics Engineering
Publications
BioSignal Processing,
Image Processing
Machine Learning
Data mining/visualization
BCI Development
2010 - present
2010 - present
NR Waytowich and DJ Krusienski. "Spatial Decoupling of Targets and Flashing Stimuli for Visual Brain-Computer Interfaces". Journal of Neural Engineering. 2015, doi:10.1088/1741-2560/12/3/036006 [PDF]
NR Waytowich and DJ Krusienski. "Multiclass Steady-State Visual Evoked Potential Frequency Evaluation using Chirp-Modulated Stimuli". Submitted for review, Jan 2015 [PDF]
NR Waytowich and DJ Krusienski. "Novel Characterization of the Steady-State Visual Evoked Potential Spectrum of EEG." BrainKDD: International Workshop on Data Mining for Brain Science at the International Conference on Knowledge Discovery and Data Mining, 2014 [PDF]
NR Waytowich and DJ Krusienski. "Control of a Brain-Computer Interface using Parafoveal Code-modulated Visual Stimuli". In: Society for Neuroscience Abstracts, 2014
NR Waytowich and DJ Krusienski. "Characterizing the SSVEP Spectrum using a Broadband Noise Stimulus". International Brain-Computer Interface Conference, 2013
NR Waytowich and DJ Krusienski. "EEG Eye Tracking Based On Code-Modulated Visual Evoked Potentials". In: The Southeast/Mid-Atlantic Biomedical Engineering Conference Abstracts, 2013
NR Waytowich, GJ Johnson and DJ Krusienski. "A Binocular Evaluation of P300 Speller Responses in EEG". In: Society for Neuroscience Abstracts, 2011
GJ Johnson, NR Waytowich and DJ Krusienski. "The Challenges of Using Scalp-EEG Input Signals for Continuous Device Control". In: Foundations of Augmented Cognition. Directing the Future of Adaptive Systems, 2011, pp 525-527
NR Waytowich, A Henderson and DJ Krusienski. "Robotic application of a brain computer interface to staubli tx40 robots". In: World Automation Congress (WAC), 2010
GJ Johnson, NR Waytowich, DJ Cox and DJ Krusienski. "Extending the discrete selection capabilities of the P300 speller to goal-oriented robotic arm control". In: Biomedical Robotics and Biomechatronics (BioRob), 2010, pp. 572-575
Teaching Experience
Teaching Assistant / Laboratory Instructor
Robotics Laboratory, University of North Florida
2008 - 2010
Managed UNF's Robotics and Manufacturing Laboratory and taught the Robotics lab for the Introduction to Robotics course at UNF. Responsibilities included the development, preparation and teaching of weekly lectures and laboratory exercises.
Work Experience
Graduate Research Assistant
Advanced Signal Processing in Engineering and Neuroscience Laboratory, ODU
2010 - present
Develop signal processing and pattern recognition algorithms for non-invasive and visual based brain-computer interfaces to aid individuals with severe neuromuscular disorders.
Research Assistant
Brain-Computer Interface Lab, University of North Florida
2008- 2010
Developed novel brain-computer interface applications to control anthropomorphic manipulator arms for neuroprosthetic control.
Engineering Project Manager
Jacksonville Electric Authority (JEA), Jacksonville Florida
2006 - 2008
Managed several capital infrastructure projects for JEA consisting of \$2.36 million in project assets and funding.
Honors, Professional Societies and Service
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Graduate Assistantship in Areas of National Need (GAANN) Scholorship Award Recipient (2012)
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Member of the IEEE Signal Processing Society, Society for Neuroscience, American Society of Mechanical Engineers, Order of Omega Honor Society. (2011 - present)
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President of the Florida Engineering Society at the University of North Florida (2009-2010)
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1st Place reagional winner of the MATE ROV (Marine Advanced Technology Education for Remotely Operated Vehicles) Competition in Coco Beach FL
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4th place winner at the 2010 MATE International ROV Competition in Hawaii, USA