Dr. Darren K. Emge Profile

Dr. Darren K. Emge

Electrical Engineer at DEVCOM Chemical Biological Ctr

SPIE Involvement:

Author

Publications (29)

Proceedings Article | 30 May 2022 Presentation + Paper

Performance analysis through predictive modeling: application to an anomaly detection algorithm in operational scenarios

Eric Languirand, Darren Emge

Proceedings Volume 12116, 1211606 (2022) https://doi.org/10.1117/12.2618125

KEYWORDS: Binary data, Detection and tracking algorithms, Potassium, Performance modeling, Explosives, Data modeling, Scanners, Chemical analysis, Statistical analysis, Spectroscopy

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Proceedings Article | 12 April 2021 Presentation + Paper

Broadband photoacoustic spectroscopy using quantum cascade laser arrays for compositional analysis of airborne aerosols

Chien-Sheng Liao, Eric Languirand, Justin Curtiss, Romain Blanchard, Christian Pfluegl, Darren Emge, Daryoosh Vakhshoori

Proceedings Volume 11749, 1174907 (2021) https://doi.org/10.1117/12.2588050

KEYWORDS: Chemical analysis, Aerosols, Quantum cascade lasers, Photoacoustic spectroscopy, Liquids, Atmospheric particles, Absorption, Solids, Infrared radiation, Acoustics

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Proceedings Article | 12 April 2021 Presentation + Paper

Real-time analysis of hyperspectral data in MATLAB: theoretical limits of anomaly detection utilizing higher order statistics through simulation

Eric Languirand, Darren Emge

Proceedings Volume 11749, 117490Q (2021) https://doi.org/10.1117/12.2585927

KEYWORDS: MATLAB, Computer simulations, Hyperspectral simulation, Statistical analysis, Device simulation, Situational awareness sensors, Detection and tracking algorithms, Algorithms

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Proceedings Article | 12 April 2021 Presentation + Paper

CBRNE sensors: intelligent systems

Darren Emge

Proceedings Volume 11749, 117490M (2021) https://doi.org/10.1117/12.2588549

KEYWORDS: Weapons of mass destruction, Sensors, Intelligence systems, Artificial intelligence, Intelligent sensor systems, Machine learning, Intelligent sensors, Evolutionary algorithms, Environmental sensing, Control systems

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Proceedings Article | 12 April 2021 Presentation + Paper

Predicting instrument detection capability of dispersed samples while moving

Eric Languirand, Darren Emge

Proceedings Volume 11749, 117490O (2021) https://doi.org/10.1117/12.2587179

KEYWORDS: Raman spectroscopy, Data modeling, Spectroscopy, Solids, Instrument modeling, Improvised explosive devices, Chemical analysis

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The detection of bulk materials is well-understood and many transduction methodologies exist. In contrast the detection of distributed or dispersed materials is still under study due the unique sequence of events under which this this occurs. For dispersed materials the problem is twofold, first you need to intercept or sample a location containing an analyte of interest and second you must be able to detect and identify that analyte. In addition, intercepting or sampling from sparsely contaminated areas is a more difficult problem as there is more background clutter due to less analyte available for interrogation and identification. Potential dispersed threats may include IED residues or disseminated materials dispersed in order contaminate an area with harmful chemicals. Using technologies such as Raman spectroscopy can provide real-time unique chemical-specific information to detect dispersed materials. However, understanding adequate sampling methods based on the instrument physical operation characteristics can help reduce false negatives and improve maneuverability through contested areas by bounding operational limitations. Since disseminated materials are deposited on a surfaces in a log-Normal fashion, the deposition pattern can be modeled and the potential ability to detect can be determined by understanding the probability of intercept of an analyte by the sampling method., i.e., for Raman the potential of a focused laser to illuminate an analyte containing location. The operating characteristics in question are the area of interrogation, repetition rate of the sampling method, and the speed at which the sampling is completed. In this paper, deposition patterns are modeled, and a CW Raman instrument is used to determine probability of intercept for several area-based concentrations, at different speeds, and with different interrogation areas. The data is analyzed based on both a predicted model and actual data. Determining and understanding these operating characteristics will aid in understanding of the necessary sampling, i.e., laser intercept, in order to provide desired confidence levels for detection.

Proceedings Article | 22 July 2019 Paper

Higher order statistics for anomaly detection in hyper spectral imaging

Eric Languirand, Darren Emge

Proceedings Volume 11010, 110100J (2019) https://doi.org/10.1117/12.2518726

KEYWORDS: Statistical analysis, Scanners, Data processing, Signal to noise ratio, Imaging spectroscopy, Hyperspectral imaging, Stochastic processes, Detection and tracking algorithms, Photonics, Line scan image sensors

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Proceedings Article | 17 May 2019 Presentation + Paper

Wide-area mapping and identification system for detection of chemical contamination on surfaces

Erik Emmons, Kevin Hung, Darren Emge, Erik Roese, Jason Guicheteau

Proceedings Volume 11010, 1101008 (2019) https://doi.org/10.1117/12.2520608

KEYWORDS: Raman spectroscopy, Hyperspectral imaging, Control systems, Imaging systems, Contamination, MATLAB, System identification, Chemical analysis, Short wave infrared radiation, Mid-IR

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Proceedings Article | 5 October 2018 Presentation

Poisson maximum likelihood spectral inference (Conference Presentation)

Darren Emge

Proceedings Volume 10646, 106461G (2018) https://doi.org/10.1117/12.2305198

KEYWORDS: Data modeling, Infrared detectors, Infrared radiation, Raman spectroscopy, Standards development, Thermal modeling, Systems modeling, Convex optimization

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Proceedings Article | 8 June 2018 Paper

Separation of small targets in multi-wavelength mixtures based on statistical independence

Rami Mowakeaa, Darren Emge

Proceedings Volume 10646, 106461H (2018) https://doi.org/10.1117/12.2305061

KEYWORDS: Independent component analysis, Feature extraction, Principal component analysis, Infrared imaging, Computer simulations, Tunable lasers, Performance modeling, Data modeling, Target detection, Remote sensing

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Proceedings Article | 22 May 2015 Paper

Maximum discrimination approach for classification of nearly identical signatures

Steven Kay, Darren Emge

Proceedings Volume 9455, 94550F (2015) https://doi.org/10.1117/12.2177056

KEYWORDS: Distance measurement, Data modeling, Computer simulations, Performance modeling, Signal to noise ratio, Gaussian pulse, Interference (communication), Error analysis, Spectroscopy, Raman spectroscopy

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Proceedings Article | 13 June 2014 Paper

Multiset singular value decomposition for joint analysis of multi-modal data: application to fingerprint analysis

Darren Emge, Tülay Adalı

Proceedings Volume 9092, 909207 (2014) https://doi.org/10.1117/12.2053374

KEYWORDS: Forensic science, Data fusion, Matrices, Particles, Laboratory techniques, Chemical analysis, Imaging spectroscopy, Image resolution, Computer security, Data centers

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Proceedings Article | 29 May 2013 Paper

Mid-wave infrared hyperspectral imaging of unknown chemical warfare agents

Rhea Clewes, Chris Howle, Jason Guicheteau, Darren Emge, Keith Ruxton, Gordon Robertson, William Miller, Graeme Malcolm, Gareth Maker

Proceedings Volume 8710, 871002 (2013) https://doi.org/10.1117/12.2017868

KEYWORDS: Mid-IR, Sensors, Short wave infrared radiation, Liquids, Metals, Absorption, Infrared spectroscopy, Mirrors, Optical parametric oscillators

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Proceedings Article | 30 October 2012 Paper

Variable basis function for least squares for chemical classification in surface enhance Raman spectroscopy (SERS)

Darren Emge, Jason Guicheteau

Proceedings Volume 8546, 854605 (2012) https://doi.org/10.1117/12.978939

KEYWORDS: Surface enhanced Raman spectroscopy, Raman spectroscopy, Detection and tracking algorithms, Raman scattering, Defense and security, Spectroscopy, Computer simulations, Industrial chemicals, Chemical analysis, Silver

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Proceedings Article | 3 May 2012 Paper

Standard method for characterizing SERS substrates

Jason Guicheteau, Mikella Hankus, Steven Christesen, Augustus Fountain, Paul Pellegrino, Erik Emmons, Ashish Tripathi, Phillip Wilcox, Darren Emge

Proceedings Volume 8373, 837320 (2012) https://doi.org/10.1117/12.919102

KEYWORDS: Surface enhanced Raman spectroscopy, Raman spectroscopy, Sensors, Spectroscopy, Manufacturing, Scanning electron microscopy, Analytical research, Chemical analysis, Bioalcohols, Defense and security

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Proceedings Article | 13 October 2011 Paper

Proximal and point detection of contaminated surfaces using Raman spectroscopy

Jason Guicheteau, Steven Christesen, Ashish Tripathi, Erik Emmons, Phillip Wilcox, Darren Emge, Ian Pardoe, Augustus Fountain

Proceedings Volume 8189, 818902 (2011) https://doi.org/10.1117/12.899243

KEYWORDS: Raman spectroscopy, Explosives, Ultraviolet radiation, Chemical analysis, Sensors, Imaging spectroscopy, Contamination, Standoff detection, Forensic science, Laser development

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Proceedings Article | 28 April 2010 Paper

Trace explosive detection in fingerprints with Raman chemical imaging

Ashish Tripathi, Erik Emmons, Jason Guicheteau, Steven Christesen, Phillip Wilcox, Darren Emge, Augustus Fountain

Proceedings Volume 7665, 76650N (2010) https://doi.org/10.1117/12.865769

KEYWORDS: Raman spectroscopy, Explosives, Imaging spectroscopy, Particles, Explosives detection, Chemical analysis, Raman scattering, Skin, Luminescence, Image analysis

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Proceedings Article | 16 April 2010 Paper

Wavelet-based denoising and baseline correction for enhancing chemical detection

Raghuveer Rao, Mohamed-Adel Slamani, Thomas Chyba, Darren Emge

Proceedings Volume 7698, 769808 (2010) https://doi.org/10.1117/12.850307

KEYWORDS: Denoising, Wavelets, Wavelet transforms, Raman spectroscopy, Chemical detection, Linear filtering, Interference (communication), Biological detection systems, Roads, Environmental sensing

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Proceedings Article | 16 April 2010 Paper

Optimization of a chemical identification algorithm

Thomas Chyba, Brian Fisk, Christin Gunning, Kevin Farley, Amber Polizzi, David Baughman, Steven Simpson, Mohamed-Adel Slamani, Robert Almassy, Ryan Da Re, Eunice Li, Steve MacDonald, Ahmed Slamani, Scott Mitchell, Jay Pendell-Jones, Timothy Reed, Darren Emge

Proceedings Volume 7698, 76980A (2010) https://doi.org/10.1117/12.850529

KEYWORDS: Detection and tracking algorithms, Signal to noise ratio, Chemical analysis, Optimization (mathematics), Algorithm development, Sensors, Target detection, Statistical analysis, Raman spectroscopy, Toxicity

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Proceedings Article | 8 May 2009 Paper

Bacterial mixture analysis with Raman chemical imaging microspectroscopy

Ashish Tripathi, Rabih Jabbour, Jason Guicheteau, Steven Christesen, Darren Emge, Janet Jensen, A. Peter Snyder

Proceedings Volume 7304, 730403 (2009) https://doi.org/10.1117/12.806456

KEYWORDS: Raman spectroscopy, Picosecond phenomena, Particles, Imaging spectroscopy, Bacteria, Microscopes, Chemical analysis, Visualization, Luminescence, Biological research

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Proceedings Article | 17 April 2008 Paper

Classification of select category A and B bacteria by Fourier transform infrared spectroscopy

Alan Samuels, A. Peter Snyder, Diane St. Amant, Darren Emge, Jennifer Minter, Mark Campbell, Ashish Tripathi

Proceedings Volume 6954, 695413 (2008) https://doi.org/10.1117/12.767292

KEYWORDS: Pathogens, Fourier transforms, FT-IR spectroscopy, Bacteria, Infrared spectroscopy, Absorption, Organisms, Optical filters, Spectroscopy, Visualization

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Proceedings Article | 17 April 2008 Paper

A algorithm benchmark data suite for chemical and biological (chem/bio) defense applications

Mohamed-Adel Slamani, Brian Fisk, Thomas Chyba, Darren Emge, Steve Waugh

Proceedings Volume 6969, 696903 (2008) https://doi.org/10.1117/12.784560

KEYWORDS: Sensors, Detection and tracking algorithms, Algorithm development, Defense and security, Copper, Raman spectroscopy, Roads, Signal processing, Chemical analysis, Signal to noise ratio

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Proceedings Article | 16 April 2008 Paper

Chemical detection and classification in Raman spectra

Steven Kay, Cuichun Xu, Darren Emge

Proceedings Volume 6969, 696904 (2008) https://doi.org/10.1117/12.784622

KEYWORDS: Autoregressive models, Raman spectroscopy, Sensors, Signal to noise ratio, Target detection, Data modeling, Chemical analysis, Chemical detection, Chemical elements, Computer simulations

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Proceedings Article | 21 September 2007 Paper

Spectral unmixing of agents on surfaces for the Joint Contaminated Surface Detector (JCSD)

Mohamed-Adel Slamani, Thomas Chyba, Howard LaValley, Darren Emge

Proceedings Volume 6699, 66991B (2007) https://doi.org/10.1117/12.731496

KEYWORDS: Detection and tracking algorithms, Diffractive optical elements, Nanoimprint lithography, Sensors, Chemical analysis, Target detection, Laser scattering, Molecules, Receivers, Raman scattering

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Proceedings Article | 19 May 2006 Paper

UV Raman spectra and cross sections of chemical agents

Steven Christesen, Joseph Lochner, Aaron Hyre, Darren Emge, Jay Jones

Proceedings Volume 6218, 621809 (2006) https://doi.org/10.1117/12.669841

KEYWORDS: Raman spectroscopy, Ultraviolet radiation, Absorption, Nanoimprint lithography, Raman scattering, Spectrographs, Sensors, Resonance enhancement, Argon ion lasers, Charge-coupled devices

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Proceedings Article | 19 May 2006 Paper

Overview of chem-bio sensing

Cynthia Swim, Richard Vanderbeek, Darren Emge, Anna Wong

Proceedings Volume 6218, 621802 (2006) https://doi.org/10.1117/12.669835

KEYWORDS: LIDAR, Long wavelength infrared, Raman spectroscopy, Industrial chemicals, Sensors, Aerosols, Nanoimprint lithography, Chemical analysis, Biological and chemical sensing, Standoff detection

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Proceedings Article | 12 May 2005 Paper

Update on active chem-bio sensing

Cynthia Swim, Richard Vanderbeek, Darren Emge, Anna Wong

Proceedings Volume 5795, (2005) https://doi.org/10.1117/12.603032

KEYWORDS: Industrial chemicals, Sensors, Atmospheric particles, Aerosols, Algorithm development, LIDAR, Nanoimprint lithography, Chemical analysis, Biological and chemical sensing, Active remote sensing

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Proceedings Article | 10 November 2004 Paper

Use of multiresolution analysis to detect chemical vapors in passive Fourier transform infrared (FTIR) spectroscopy

Darren Emge

Proceedings Volume 5573, (2004) https://doi.org/10.1117/12.567118

KEYWORDS: Chemical analysis, FT-IR spectroscopy, Discrete wavelet transforms, Spectroscopy, Sensors, Wavelets, Spectrometers, Fourier transforms, Bioalcohols, Analytical research

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Proceedings Article | 27 February 2004 Paper

Outdoor chamber measurements of biological aerosols with a passive FTIR spectrometer

Francis D'Amico, Darren Emge, Geoffrey Roelant

Proceedings Volume 5268, (2004) https://doi.org/10.1117/12.518558

KEYWORDS: Aerosols, Atmospheric modeling, FT-IR spectroscopy, Clouds, Sensors, Spectroscopy, Atmospheric particles, Standoff detection, Data modeling, Scattering

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Proceedings Article | 27 February 2004 Paper

The Airborne Chemical Imaging System (ACIS)

Francis D'Amico, Darren Emge, William Marinelli, Christopher Gittins, Timothy Ricks

Proceedings Volume 5268, (2004) https://doi.org/10.1117/12.518574

KEYWORDS: Sensors, Infrared sensors, Infrared imaging, Imaging systems, Image sensors, Imaging spectroscopy, Hyperspectral imaging, Cameras, Spectroscopy, Infrared detectors

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Showing 5 of 29 publications

Conference Committee Involvement (17)

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIV

1 May 2023 | Orlando, Florida, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXIII

4 April 2022 | Orlando, Florida, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXII

12 April 2021 | Online Only, Florida, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXI

27 April 2020 | Online Only, California, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XX

15 April 2019 | Baltimore, MD, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XIX

16 April 2018 | Orlando, FL, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVIII

11 April 2017 | Anaheim, CA, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVII

19 April 2016 | Baltimore, MD, United States

Signal and Data Processing of Small Targets 2015

12 August 2015 | San Diego, California, United States

Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XVI

21 April 2015 | Baltimore, MD, United States

Signal and Data Processing of Small Targets 2014

7 May 2014 | Baltimore, MD, United States

Signal and Data Processing of Small Targets 2013

28 August 2013 | San Diego, California, United States

Signal and Data Processing of Small Targets 2012

25 April 2012 | Baltimore, Maryland, United States

Signal and Data Processing of Small Targets 2011

23 August 2011 | San Diego, California, United States

Signal and Data Processing of Small Targets 2010

6 April 2010 | Orlando, Florida, United States

Signal and Data Processing of Small Targets 2009

4 August 2009 | San Diego, California, United States

Signal and Data Processing of Small Targets 2008

18 March 2008 | Orlando, Florida, United States

Showing 5 of 17 Conference Committees

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