Overview

  • Dean J. Krusienski is a Professor of Electrical and Computer Engineering at Old Dominion University. He received the B.S., M.S., and Ph.D. degrees in electrical engineering from The Pennsylvania State University, University Park, PA, in 1999, 2001, and 2004, respectively. He completed his postdoctoral research at the New York State Department of Health’s Wadsworth Center Brain-Computer Interface (BCI) Laboratory in Albany, NY. His primary research focus is on the application of advanced signal processing and pattern recognition techniques to brain-computer interfaces, which allow individuals with severe neuromuscular disabilities to communicate and interact with their environments using their brainwaves. His research interests include decoding and translation of neural signals, digital signal and image processing, machine learning, evolutionary algorithms, artificial neural networks, and biomedical and musical applications. His research is supported by the National Science Foundation (NSF), the National Institutes of Health (NIH), and the National Institute of Aerospace (NIA)/NASA.
  • Selected Publications

    Articles In Academic Journals

    Year Title
    2018 Transient signals and inattentional blindness in a multi-object tracking taski-Perception. 1-1.
    2017 Biosignal-based Spoken Communication: A SurveyIEEE Trans. Audio, Speech and Language Processing. 2257-2271.
    2017 Optimization of checkerboard spatial frequencies for steady-state visual evoked potentialIEEE Transactions on Neural Systems and Rehabilitation Engineering. 557-565.
    2016 Discriminative Feature Extraction via Multivariate Linear Regression for SSVEP-Based BCIIEEE Transactions on Neural Systems and Rehabilitation Engineering. 532-541.
    2016 Impaired auditory evoked potentials and oscillations in frontal and auditory cortex of a schizophrenia mouse modelThe World Journal of Biological Psychiatry. 1-10.
    2016 Multiclass Steady-State Visual Evoked Potential Frequency Evaluation Using Chirp-Modulated StimuliIEEE.
    2015 Progress in speech decoding from the electrocorticogramBiomedical Engineering Letters. 10-21.
    2015 Spatial decoupling of targets and flashing stimuli for visual brain–computer interfacesJournal of neural engineering. 036006.
    2014 Direct classification of all American English phonemes using signals from functional speech motor cortex.Journal of neural engineering. 035015.
    2014 Empirical models of scalp-EEG responses using non-concurrent intracranial responses.Journal of neural engineering. 035012.
    2013 A Vision-based Automatic Safe Landing-site Detection SystemIEEE Transactions on Aerospace and Electronic Systems. 294-311.
    2013 A hierarchical horizon detection algorithmIEEE Geoscience and Remote Sensing Letters. 111-114.
    2012 A Hierarchical Horizon Detection AlgorithmIEEE Geoscience and Remote Sensing Letters. 111-114.
    2012 Signals from intraventricular depth electrodes can control a brain-computer interface.Journal of neuroscience methods. 311-4.
    2012 Value of amplitude, phase, and coherence features for a sensorimotor rhythm-based brain–computer interfaceBrain research bulletin. 130-134.
    2011 Control of a brain-computer interface using stereotactic depth electrodes in and adjacent to the hippocampus.Journal of neural engineering. 025006.
    2011 Control of a visual keyboard using an electrocorticographic brain-computer interface.Neurorehabilitation and neural repair. 323-31.
    2011 Critical issues in state-of-the-art brain-computer interface signal processing.Journal of neural engineering. 025002.
    2010 A novel P300-based brain-computer interface stimulus presentation paradigm: moving beyond rows and columnsClinical Neurophysiology. 1109-1120.
    2010 Improved signal processing approaches in an offline simulation of a hybrid brain-computer interfaceJournal of neuroscience methods. 165-173.
    2009 A Method for Visualizing the Independent Spatio-Temporal Patterns of Brain ActivityEURASIP Journal on Advances in Signal Processing (Special Issue on Statistical Signal Processing in Neuroscience.
    2009 An Offline Evaluation of the Autoregressive Spectrum for ElectrocorticographyIEEE Trans. Biomedical Eng..
    2009 An auditory oddball (P300) spelling system for brain-computer interfacesPsychophysiology. 617-625.
    2008 A P300-based brain-computer interface for people with amyotrophic lateral sclerosis.Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology. 1909-16.
    2008 Emulation of computer mouse control with a noninvasive brain-computer interfaceJournal of neural engineering. 101-110.
    2008 Toward Enhanced P300 Speller PerformanceJournal of Neuroscience Methods (Special Issue on Brain-Computer Interfaces). 15-21.
    2007 A ?-rhythm Matched Filter for Continuous Control of a Brain-Computer InterfaceIEEE Transactions on Biomedical Engineering.
    2006 14.5 Adaptive Signal ProcessingCircuits, Signals, and Speech and Image Processing.
    2006 A P300 event-related potential brain–computer interface (BCI): the effects of matrix size and inter stimulus interval on performanceBiological Psychology. 242-252.
    2006 A comparison of classification techniques for the P300 SpellerJournal of neural engineering. 299.
    2006 BCI meeting 2005-workshop on BCI signal processing: feature extraction and translationIEEE Transactions on Neural Systems and Rehabilitation Engineering. 135.
    2006 The BCI competition III: Validating alternative approaches to actual BCI problemsIEEE Transactions on Neural Systems and Rehabilitation Engineering. 153-159.
    2006 The Wadsworth BCI research and development program: at home with BCIIEEE Transactions on Neural Systems and Rehabilitation Engineering. 229-233.
    2005 Design and performance of adaptive systems based on structured stochastic optimization strategiesIEEE circuits and systems magazine. 8-20.

    Conference Papers

    Year Title
    2017 Development of an Extensible SSVEP-BCI Software Platform and Application to Wheelchair Control.  25-28.
    2016 Cyclostationary-Based Detection of Steady-State Visually Evoked Potential Signals Recorded from EEG.  764-768.
    2015 A theoretical limit and simulation of time-domain event detection in the EEG.  1020-1023.
    2015 Comparison of Stimulation Patterns to Elicit Steady-State Somatosensory Evoked Potentials (SSSEPs): Implications for Hybrid and SSSEP-Based BCIs.  3122-3127.
    2015 Directional brain functional interaction analysis in patients with amyotrophic lateral sclerosis.  972-975.
    2014 Novel Characterization of the Steady-State Visual Evoked Potential Spectrum of EEG
    2013 A low-cost configurable multichannel cortical stimulator prototype.  641-644.
    2013 High-frequency spectral changes in Dorsolateral Prefrontal Cortex for potential neuoroprosthetics..  2247-50.
    2012 Brain-computer interfaces in medicine.  268-279.
    2012 Spectral components of the P300 speller response in and adjacent to the hippocampus.  274-277.
    2011 Automatic detection of aircraft emergency landing sites.  80560H-80560H.
    2011 Spectral components of the P300 speller response in electrocorticography.  282-285.
    2011 The challenges of using scalp-EEG input signals for continuous device control.  525-527.
    2010 Robot application of a brain computer interface to staubli tx40 robots-early stages.  1-6.
    2009 Amplitude Quantization of Event Related Potentials.  605-608.
    2009 Ensemble SWLDA classifiers for the P300 speller.  551-557.
    2008 Harmonic Coupling of Steady-State Visual Evoked Potentials.  5037-5040.
    2007 Adaptive filters realized with nano-scale VLSI circuit technology.  413-416.
    2007 Common spatio-temporal patterns for the P300 speller.  421-424.
    2007 Low Power Adaptive Filters Based on a Combination of Genetic Optimization and Residue Number System Coding.  1417-1421.
    2006 A modified particle swarm optimization algorithm for adaptive filtering.  4-pp.
    2006 An Evaluation of Autoregressive Spectral Estimation Model Order For Brain-Computer Interfaces
    2006 An evaluation of autoregressive spectral estimation model order for brain-computer interface applications.  1323-1326.
    2006 Daily use of a brain-computer interface by a man with ALS
    2005 Nonparametric density estimation based independent component analysis via particle swarm optimization.  iv-357.
    2005 Structured stochastic optimization strategies for problems with ill-conditioned error surfaces.  2291-2294.
    2005 Tracking of the Mu Rhythm using an Empirically Derived Matched Filter.  86-89.
    2004 Particle Swarm Optimization for Adaptive IIR Filter Structures
    2004 The application of particle swarm optimization to adaptive IIR phase equalization.  ii-693.
    2003 Adaptive IIR phase equalizers based on stochastic search algorithms.  652-656.
    2003 Adaptive filtering via particle swarm optimization.  571-575.
    2002 Architectures and Algorithms for Nonlinear Adaptive Filters
    2002 Series-Cascade Nonlinear Adaptive Filters
    2001 Comparative Analysis of Neural Network Filters and Adaptive Volterra Filters

    Research Overview

  • Research Interests: Brain-Computer Interfaces, Neural Engineering, Digital Signal and Image Processing, Pattern Recognition, Machine Learning, Biomedical Signals & Systems, Computational Intelligence
  • Grants

  • IIS-1608140: REvealing SPONtaneous Speech from Electrocorticography  awarded by National Science Foundation 2016 - 2019
  • Infrastructure for the Virginia Neuroscience Initiative (VNI) at ODU  awarded by Virginia Biosciences Health Research Corporation 2017 - 2018
  • Mobile Materials Characterization using a Calorimetric Process  awarded by Ocean Bay LLC, DLA Phase 1 STTR 2016 - 2017
  • IIS-1421948: HCC: Small: A Hybrid Brain-Computer Interface for Behaviorally Non-responsive Patients  awarded by NSF 2014 - 2017
  • IIS-1451028: EAGER: Investigating the Neural Correlates of Musical Rhythms from Intracranial Recordings  awarded by NSF 2014 - 2017
  • Activity 2A57 - Classifier Development for Steady-State Visually Evoked Potential Data  awarded by NIA/NASA 2015 - 2016
  • Repetitive Transcranial Magnetic Stimulation (rTMS) at the Dorsomedial Prefrontal Cortex  awarded by Hampton Roads Community Foundation Special Interest Grant 2014 - 2015
  • MRI Consortium: Acquisition of an Integrated System of Instruments for Multichannel Biopotential Recording of In-vivo and In-vitro Experiments  awarded by NSF 2013 - 2015
  • Supplement to IIS-1064912  awarded by NSF 2013 - 2015
  • Investigation of Musical Rhythms in the Brain  awarded by Old Dominion University Multidisciplinary Seed Funding Program 2013
  • A General Purpose Brain-Computer Interface (BCI) System  awarded by NIBIB Bioengineering Research Partnership (BRP): EB00856 R01, NIH 2008 - 2013
  • HCC: Medium: RUI: Control of a Robotic Manipulator via a Brain-Computer  awarded by Division of Information & Intelligent Systems, NSF 2009 - 2012
  • Clinical EEG Monitoring System  awarded by Penn State Seed Grant 2010
  • The Mathematics and Science Partnership Grant: Life, Earth, and Physical Science  awarded by Duval County Public Schools 2007
  • Education And Training

  • Ph.D. in Electrical Engineering, The Pennsylvania State University 2004
  • M.S. in Electrical Engineering, The Pennsylvania State University 2001
  • B.S. in Electrical Engineering, The Pennsylvania State University 1999
  • Full Name

  • Dean Krusienski