Michael Andrew Bewernitz, Ph.D.
J. Crayton
Pruitt Family Department of Biomedical Engineering
The
Education
●
April 2008
Ph.D. in biomedical engineering from
the J. Crayton
Pruitt Family Department of Biomedical Engineering,
University of Florida. Thesis title: “Data
Mining and Time Series Analysis of Brain Dynamical Behavior with Applications
in Epilepsy”
●
August 2007
M.E.
in biomedical engineering from the J. Crayton Pruitt Family Department of Biomedical Engineering,
University of Florida
●
May 2002
B.S. in chemical engineering from the
Department of Chemical Engineering, Michigan State University
*Biochemical engineering specialization* (chemical
engineering specialization option)
Research Interests
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Pharamcological and neurostimulation
dose-response research for optimization of therapeutic control strategies
●
Generalized
absence epilepsy spike and wave detection and stratification using electroencephalogram
(EEG) data
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Nuclear magnetic
resonance image (NMRI) analysis in brain and spinal cord injury research
I am studying the application of time series analysis
and machine learning techniques to biomedical time-series datasets. My current research focuses on
characterization of therapeutic effects using electroencephalographic
recordings obtained from patients or animal models of neurological
disorders. The goal of this research is
to improve the understanding of therapeutic mechanisms and develop enhanced
physiologic model-based treatment approaches.
Conference Talks
Michael
Bewernitz, Onur Seref, Basim Uthman,
Panos Pardalos. A Novel Generalized Spike-Wave Detector: Towards Real-Time
Applications in Epilepsy. Conference on Computational Neuroscience 2008. Feb 21st, 2008.
Michael
Bewernitz, George Ghacibeh, Onur
Seref, Basim Uthman, Panos Pardalos. Support Vector Machine Classification
of EEG Data From Epileptic Patients Treated with Vagus Nerve Stimulation. Data
Mining, Systems Analysis and Optimization in Biomedicine. March 28th, 2007.
Michael
Bewernitz, Jabriel Riley, Zhao Liu,
Paul Carney, Lewis Baxter, J. Chris Sackellares. A Novel
In-Vivo Seizure Model of Frontal Basal Forebrain Origin in an Anolis Lizard. DIMACS Workshop on Data Mining, Systems Analysis, and Optimization
in Neuroscience. February 15th, 2006.
Publications
Bewernitz M.A., Ghacibeh G., Seref O., Pardalos P.M., Liu C.C.,
Uthman B. Quantification of the impact of vagus nerve stimulation parameters
on electroencephalographic measures. Proceedings of the
conference on Data Mining, Systems Analysis and Optimization in Biomedicine.
Busygin S., Boyko N., Pardalos P.M., Bewernitz M.A., Ghacibeh G. Biclustering
EEG data from epileptic patients treated with vagus nerve stimulation. Proceedings of the conference on Data Mining, Systems Analysis and
Optimization in Biomedicine.
Uthman B., Bewernitz
M.A., Liu C.C., Ghacibeh G. Optimization of epilepsy treatment with
vagus nerve stimulation. Proceedings of the conference on
Data Mining, Systems Analysis and Optimization in Biomedicine.
Nair
SP, Bewernitz M. A., Jukkola P.
Seref O., Kundakcioglu O.E., Bewernitz M.A. “Support vector machines in neuroscience”,
Encyclopedia of Healthcare Information Systems, N. Wickramasinghe
and
Carney P.R., Shiau D.S.,
Iasemidis L.D., Suharitdamrong W., Shenk D., Bewernitz
M.A., Nair S.P., Pardalos P.M., Sackellares J.C. Nonlinear quantitative
EEG analysis distinguishes normal from seizure-prone newborns. AES 58th Annual Meeting 2004, Dec. 3 - 7,
Patents
Basim
Uthman, Panos Pardalos, Michael Bewernitz, Chang-Chia Liu, Stanislav
Busygin. Variational Parameter Neurostimulation Paradigm for
Treatment of Neurologic Disease.
Marketing
communication from the University of Florida Office of Technology and
Licensing:
http://apps.rgp.ufl.edu/otl/pdf/marketing/12501.pdf
News
article regarding the patent, published in Medical Device & Diagnostic
Industry, © 2008:
http://www.devicelink.com/mddi/archive/08/04/011.html
Research Protocols
Sub-Investigator
Quantitative
Electroencephalographic and Evoked Potential Changes Resulting from
Brivaracetam Treatment are Associated with Reduction of Myoclonus
in Patients with Unverricht Lundborg
Disease. (IRB #489-2007)
Sub-Investigator
Examining the Effect of Lamotrigine for Newly
Diagnosed Absence Seizures using Quantitative EEG Analysis. (IRB
# 559-2007)
Sub-Investigator
Differentiating Status Epilepticus from other
Encephalopathies using Quantitative EEG Analysis. (IRB
# 252-2007)
Conference Organization Committee
Conference
on Computational Neuroscience 2008.
February 20-21, 2008.
Data
Mining, System Analysis and Optimization in Biomedicine. March 28-30, 2007.
Ad Hoc Reviewer
BIOMAT
2007: International Symposium on Mathematical and Computational Biology. Armação dos Búzios,
Journal
of Combinatorial Optimization
Awards and Honors
●
Physics
Instructor, Science: Optimizing Academic Returns
(SOAR) Project, Science Content
Enrichment Series (High School), funding provided by the Panhandle Area Education Consortium
(PAEC),
●
Teaching
assistantship, Howard-Hughes Medical Institute (HHMI) Science For Life program,
●
Award, Impact Award for community service, presented
by The Dean of Students Office and the Center for Leadership & Service at
the University of Florida, March 27, 2007
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Honorable
mention, selected to represent
Michigan State University in the American Institute of Chemical Engineering
(AICHE) National Student Design Competition, Spring, 2002
●
GPA, earned 3.9/4.0 GPA in UF Biomedical Engineering
Contact Information
●
Email:
●
Phone:
(352) 392-1464, x:2050
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Center for Applied Optimization
401
University of Florida
Gainesville, FL-32610
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Mailing
address
130
P.O. Box 116131
Last updated 4-12-08