Jacqueline Fairley

Georgia Institute of Technology, Georgia Tech Research Institute, Principal Research Engineer

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Currently, I am a Principal Research Engineer within the Sensor Artificial Intelligence and Learning Program Office in the Sensors and Electromagnetic Applications Laboratory (SEAL), at the Georgia Tech Research Institute (Atlanta,Georgia,USA). My research and professional development focus include:

Application of artificial intelligence approaches to advance radar technology; Utilization of advanced digital signal processing (DSP) techniques to develop radar signal processing algorithms, models, and simulations; Provision of systems engineering support for Geospatial Intelligence (GEOINT) Networks; Coordination of fellow researchers and project management for both internal and sponsored research initiatives; Cultivation of new business prospects; Pursuit and conservation of GTRI diversity and inclusion endeavors;
Supervisors: Donald L. Bliwise, Ph.D. (Postdoctoral Advisor), David B. Rye M.D., Ph.D. (Postdoctoral Advisor), and George Vatchsevanos, Ph.D. (Ph.D. Advisor)

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Peter Foldiak

Luciano Serafini

Antonio Di Stasio

Università degli Studi "La Sapienza" di Roma

Rice University

University of California, Berkeley

Laura Giordano

Gita Sukthankar

University of Central Florida

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Papers by Jacqueline Fairley

Report from Dagstuhl Seminar 14381 Neural-Symbolic Learning and Reasoning

This report documents the program and the outcomes of Dagstuhl Seminar 14381 “NeuralSymbolic Lear... more This report documents the program and the outcomes of Dagstuhl Seminar 14381 “NeuralSymbolic Learning and Reasoning”, which was held from September 14th to 19th, 2014. This seminar brought together specialist in machine learning, knowledge representation and reasoning, computer vision and image understanding, natural language processing, and cognitive science. The aim of the seminar was to explore the interface among several fields that contribute to the effective integration of cognitive abilities such as learning, reasoning, vision and language understanding in intelligent and cognitive computational systems. The seminar consisted of contributed and invited talks, breakout and joint group discussion sessions. Seminar September 14–19, 2014 – http://www.dagstuhl.de/14381 1998 ACM Subject Classification I.2 Artificial Intelligence, I.2.4 Knowledge Representation Formalisms and Methods, I.2.6 Learning, I.2.10 Vision and Scene Understanding, I.2.11 Distributed Artificial Intelligence

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Software-Defined Cognitive Radar Implementation for Spectrum Management using MATLAB

2022 IEEE International Symposium on Circuits and Systems (ISCAS)

Towards a fully automated tool for annotation of phasic electromyographic activity

2016 24th Mediterranean Conference on Control and Automation (MED), 2016

Salient muscle activity identification via the phasic electromyographic metric (PEM) in human pol... more Salient muscle activity identification via the phasic electromyographic metric (PEM) in human polysomnograms/sleep studies (PSGs) represent a potential quantitative metric to aid in differentiation between neurodegenerative disorder populations and age-matched controls. A major impairment to the implementation of PEM analysis for clinical assessment of neurodegenerative disorders includes the time consuming aspects for both visual and automated supervised methods, which require exhaustive expert scoring of PEM and non-PEM events. In order to surmount the aforementioned concerns, we propose a semi-supervised classification methodology encased within an easy-to-use graphical user interface (GUI) utilizing an embedded Minimum Description Length (MDL) criterion to automatically classify PEM and non-PEM events based on expert labeling of a single PEM instance. Results indicate that the application of a semi-supervised approach for PEM identification provides an excellent option to reduce the labeling burden within current human PSG muscle activity identification schemes.

Computerized detection of movement artifacts in polysomnogram data

Symbolic Representation of Human Electromyograms for Automated Detection of Phasic Activity During Sleep

In this study we investigate the feasibility of applying Symbolic Aggregate approximation (SAX) t... more In this study we investigate the feasibility of applying Symbolic Aggregate approximation (SAX) to automatically classify phasic eletromyographic (EMG) activity in human polysomnograms (PSGs). SAX offers potential benefits for time series analysis of PSGs that include: 1) dimensionality and storage space reduction and 2) access to robust symbolic based data mining algorithms, such as intelligent icons. To evaluate the proposed symbolic classification scheme we compare, expert visual scoring of phasic EMG activity, a reliable quantitative metric to assist in discriminating neurodegenerative disorder populations and age-matched controls, to a k-Nearest Neighbor intelligent icon based SAX scheme. Detection of non-phasic EMG activity exceeded 90% and detection of phasic EMG activity ranged between 53 to 90 %, for six subjects.

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Using Hands On Learning In An After School Engineering Program To Promote Stem Careers To High School Students

2009 Annual Conference & Exposition Proceedings

Teaching Research Skills In Summer Undergraduate Research Programs

2008 Annual Conference & Exposition Proceedings

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Ac 2007-2715: The Importance of Graduate Mentors in Undergraduate Research Programs

One of the most unsettling problems in higher education has been the dramatic under-representatio... more One of the most unsettling problems in higher education has been the dramatic under-representation of African Americans, Hispanics, and American Indians in the nation's engineering graduate schools - especially within the ranks of those who hold PhDs in the areas of science, technology, engineering, and mathematics (STEM). These disparities among the number of whites and minorities who pursue graduate studies are apparent in the findings of Foertsch[1] The latter reported that about 30% of whites with a BS degree go on to graduate school, while only 19% of non-Asian minorities with a BS do the same. In 1995, blacks accounted for only 2.0% of all STEM PhDs, Hispanics for 2.5%, and American Indians for 0.3% - even though within the same year African Americans made up about 12% of the U.S. population, Hispanics 10.2%, and American Indians 0.7%. The Summer Undergraduate Research in Engineering/Science (SURE) program is a ten week summer research program, at the Georgia Institute of ...

Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimensionality reduction

Computers in Biology and Medicine, 2014

Phasic electromyographic (EMG) activity during sleep is characterized by brief muscle twitches (d... more Phasic electromyographic (EMG) activity during sleep is characterized by brief muscle twitches (duration 100-500 ms, amplitude four times background activity). High rates of such activity may have clinical relevance. This paper presents wavelet (WT) analyses to detect phasic EMG, examining both Symlet and Daubechies approaches. Feature extraction included 1 s epoch processing with 24 WT-based features and dimensionality reduction involved comparing two techniques: principal component analysis and a feature/variable selection algorithm. Classification was conducted using a linear classifier. Valid automated detection was obtained in comparison to expert human judgment with high (490%) classification performance for 11/12 datasets.

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Rye ReceptorsAEnhancement of GABA Modulation of Vigilance in the Primary Hypersomnias by Endogenous

in fewer than 100 years. −− hypersomnia should help scientists discover new ''kisses'... more in fewer than 100 years. −− hypersomnia should help scientists discover new ''kisses'' that restore wakefulness substance in CSF that augments inhibitory GABA signaling. A deeper understanding of the neurobiology of primary The current study suggests that one of the ''spindle pricks'' that puts hypersomnolent subjects to sleep is a Together, these mechanistic studies pinpoint a potential new neuropharmacological pathway for a 25-year-old drug. domain of GABA receptors. Most importantly, flumazenil restored vigilance in some hypersomnolent subjects. drug is known to be a competitive antagonist of BZD and blocks BZD action by binding to the classical BZD-binding the BZD receptor antagonist flumazenil reversed hypersomnolent-CSF activation of GABA signaling, even though the Furthermore, in human brain tissue, suggesting that the newly identified substance functions by a distinct mechanism. binding Hypersomnolent CSF samples mimicked the effects of BZD on...

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The Significance of Cognitive Neuroscience: Findings, Applications, and Challenges

ABSTRACT Each edition of this classic reference has proved to be a benchmark in the developing fi... more ABSTRACT Each edition of this classic reference has proved to be a benchmark in the developing field of cognitive neuroscience. The fifth edition of The Cognitive Neurosciences continues to chart new directions in the study of the biological underpinnings of complex cognitio -- the relationship between the structural and physiological mechanisms of the nervous system and the psychological reality of the mind. It offers entirely new material, reflecting recent advances in the field. Many of the developments in cognitive neuroscience have been shaped by the introduction of novel tools and methodologies, and a new section is devoted to methods that promise to guide the field into the future -- from sophisticated models of causality in brain function to the application of network theory to massive data sets. Another new section treats neuroscience and society, considering some of the moral and political quandaries posed by current neuroscientific methods. Other sections describe, among other things, new research that draws on developmental imaging to study the changing structure and function of the brain over the lifespan; progress in establishing increasingly precise models of memory; research that confirms the study of emotion and social cognition as a core area in cognitive neuroscience; and new findings that cast doubt on the so-called neural correlates of consciousness.

The Importance Of Graduate Mentors In Undergraduate Research Programs

2007 Annual Conference & Exposition Proceedings

Inter-rater Agreement for Visual Discrimination of Phasic and Tonic Electromyographic Activity in Sleep

Sleep, Jan 2, 2018

The objective of this study was to determine the confidence of expert raters in discriminating ph... more The objective of this study was to determine the confidence of expert raters in discriminating phasic and tonic electromyographic (EMG) activity. We undertook this study because we suspected that even expert scorers may disagree on whether a given EMG segment contained phasic activity, tonic activity, or both. Six individuals holding either Fellowship status in the American Academy of Sleep Medicine or Board Certification in Sleep Medicine with at least 5 years' experience in interpreting polysomnography visually examined 60 segments containing EMG activity. Raters determined their relative confidence that each segment contained phasic and tonic activity by noting whether they were highly certain or somewhat certain that the segment contained such activity or somewhat certain or highly certain that each segment did not contain such activity. Every segment was rated by every rater twice, once for phasic and once for tonic activity. Substantial differences among raters existed in ...

The Effects of an Afternoon Nap on Episodic Memory in Young and Older Adults

Sleep, 2017

2009 ASEE Southeast Section Conference Engineering Outreach by High School Students in NSBE Jr

The Significance of Cognitive Neuroscience

Ac 2008-1905: Teaching Research Skills in Summer Undergraduate Research Programs

High-quality research skills are an essential component in successfully navigating the graduate s... more High-quality research skills are an essential component in successfully navigating the graduate school process. The focus of this work is to describe a successful approach to teaching research skills to undergraduate students by combining laboratory experience with weekly instructional seminars in an attempt to foster future success in graduate school. This approach was designed and implemented for a ten-week summer research experience program for undergraduate students. The weekly instructional seminar series addressed research skills in three key areas: communication, investigation, and documentation. The seminar series began with the “Communications Seminars,” where student participants learned how to concisely explain their research topics through an ‘elevator talk’ activity, a common exercise utilized in business fields. Followed by “Investigation Seminars,” that addressed conducting literature reviews and creating annotated bibliographies. Instructions on formulating and maint...

Semi-Automated Annotation of Phasic Electromyographic Activity

Lecture Notes in Computer Science, 2014

Automated polysomnogram artifact compensation using the generalized singular value decomposition algorithm

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2010

Manual/visual polysomnogram (psg) analysis is a standard and commonly implemented procedure utili... more Manual/visual polysomnogram (psg) analysis is a standard and commonly implemented procedure utilized in the diagnosis and treatment of sleep related human pathologies. Current technological trends in psg analysis focus upon translating manual psg analysis into automated/computerized approaches. A necessary first step in establishing efficient automated human sleep analysis systems is the development of reliable pre-processing tools to discriminate between outlier/artifact instances and data of interest. This paper investigates the application of an automated approach, using the generalized singular value decomposition algorithm, to compensate for specific psg artifacts.

Microarray Gene Expression Data Analysis

Report from Dagstuhl Seminar 14381 Neural-Symbolic Learning and Reasoning

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Software-Defined Cognitive Radar Implementation for Spectrum Management using MATLAB

2022 IEEE International Symposium on Circuits and Systems (ISCAS)

Towards a fully automated tool for annotation of phasic electromyographic activity

2016 24th Mediterranean Conference on Control and Automation (MED), 2016

Computerized detection of movement artifacts in polysomnogram data

Symbolic Representation of Human Electromyograms for Automated Detection of Phasic Activity During Sleep

Download

Using Hands On Learning In An After School Engineering Program To Promote Stem Careers To High School Students

2009 Annual Conference & Exposition Proceedings

Teaching Research Skills In Summer Undergraduate Research Programs

2008 Annual Conference & Exposition Proceedings

Download

Ac 2007-2715: The Importance of Graduate Mentors in Undergraduate Research Programs

Wavelet analysis for detection of phasic electromyographic activity in sleep: Influence of mother wavelet and dimensionality reduction

Computers in Biology and Medicine, 2014

Download

Rye ReceptorsAEnhancement of GABA Modulation of Vigilance in the Primary Hypersomnias by Endogenous

Download

The Significance of Cognitive Neuroscience: Findings, Applications, and Challenges

The Importance Of Graduate Mentors In Undergraduate Research Programs

2007 Annual Conference & Exposition Proceedings

Inter-rater Agreement for Visual Discrimination of Phasic and Tonic Electromyographic Activity in Sleep

Sleep, Jan 2, 2018

The Effects of an Afternoon Nap on Episodic Memory in Young and Older Adults

Sleep, 2017

2009 ASEE Southeast Section Conference Engineering Outreach by High School Students in NSBE Jr

The Significance of Cognitive Neuroscience

Ac 2008-1905: Teaching Research Skills in Summer Undergraduate Research Programs

Semi-Automated Annotation of Phasic Electromyographic Activity

Lecture Notes in Computer Science, 2014

Automated polysomnogram artifact compensation using the generalized singular value decomposition algorithm

Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference, 2010

Microarray Gene Expression Data Analysis

The Dreaming Brain

"Dismissing both Freudian and Jungian dream analysis as unscientific, Hobson claims dreams are th... more "Dismissing both Freudian and Jungian dream analysis as unscientific, Hobson claims dreams are the vast maintenance task of the brain . In his physiological theory, sensory and motor signals generated by the brain during sleep are the driving forces behind the dream plot; the sleeper's past experiences, wishes and attitudes then come into play, shaping the dream material," reported PW.
Copyright 1989 Reed Business Information, Inc.

Signal Processing for Neuroscientists: An Introduction to the Analysis of Physiological Signals

Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscie... more Signal Processing for Neuroscientists introduces analysis techniques primarily aimed at neuroscientists and biomedical engineering students with a reasonable but modest background in mathematics, physics, and computer programming. The focus of this text is on what can be considered the 'golden trio' in the signal processing field: averaging, Fourier analysis, and filtering. Techniques such as convolution, correlation, coherence, and wavelet analysis are considered in the context of time and frequency domain analysis. The whole spectrum of signal analysis is covered, ranging from data acquisition to data processing; and from the mathematical background of the analysis to the practical application of processing algorithms. Overall, the approach to the mathematics is informal with a focus on basic understanding of the methods and their interrelationships rather than detailed proofs or derivations. One of the principle goals is to provide the reader with the background required to understand the principles of commercially available analyses software, and to allow him/her to construct his/her own analysis tools in an environment such as MATLAB®.

Principles and Practice of Sleep Medicine: Expert Consult Premium Edition - Enhanced Online Features and Print, 5th edition

Principles and Practice of Sleep Medicine, 5th Edition, by Meir H. Kryger, MD, FRCPC, Thomas Roth... more Principles and Practice of Sleep Medicine, 5th Edition, by Meir H. Kryger, MD, FRCPC, Thomas Roth, PhD, and William C. Dement, MD, PhD, delivers the comprehensive, dependable guidance you need to effectively diagnose and manage even the most challenging sleep disorders. Updates to genetics and circadian rhythms, occupational health, sleep in older people, memory and sleep, physical examination of the patient, comorbid insomnias, and much more keep you current on the newest areas of the field. A greater emphasis on evidence-based approaches helps you make the most well-informed clinical decisions. And, a new more user-friendly, full-color format, both in print and online, lets you find the answers you need more quickly and easily. Whether you are preparing for the new sleep medicine fellowship examination, or simply want to offer your patients today's best care, this is the one resource to use!

Data Mining the Human Sleep Wake Cycle

"""""""Data Science involves the blending of techniques and theories from various disciplines inc... more """""""Data Science involves the blending of techniques and theories from various disciplines including mathematics, statistics, engineering, and computer science, to conduct data mining, in order to elicit substantial information from datasets. The interdisciplinary nature of data science provides a wide platform for the utilization and development of powerful computational tools to tackle an array of real world data sets. In this talk, I will discuss my data science based approach in processing human polysomnograms (psgs), sleep records.
The human psg consists of a collection of bio-physiological events recorded simultaneously over many hours. Multiple non-invasive electrodes, located on different body regions, are used to obtain information regarding physiological state fluctuations of the subject in order to access sleep health. Although, information regarding healthy adult sleep is well characterized the establishment of robust models for sleep in patients suffering from certain sleep disorders and neurological pathologies are still being demystified. The delay in understanding the sleep patterns of these patients can be contributed to the need for efficient approaches to analyze the large, complex, and at times noisy records generated from sleep studies.
In order to meet this need, I have used a combination of signal processing, machine learning, and statistical modeling techniques to probe psgs and obtain information regarding the human sleep cycle of patients with sleep disorders and neurological pathologies. More specifically, I focus on pre-processing, data characterization, and post-processing challenges. My investigations indicate that Data Science offers many robust tools to hasten understanding of the human sleep cycle with respect to pathological conditions.
TO VIEW VIDEO OF THIS TALK PLEASE GO TO THE LINK:
http://www.youtube.com/watch?v=73A2db9g1QY
TO VIEW THE ABSTRACT AND BIO FOR THIS TALK PLEASE
GO TO THE LINK:
https://www.ee.washington.edu/cgi-bin/research/colloquium/display.pl?id=197
"""""""

Jacqueline Fairley

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