Anaheim Convention Center
Anaheim, California, United States
26 - 30 April 2020
Conference SI213
Chemical, Biological, Radiological, Nuclear, and Explosives (CBRNE) Sensing XXI
Important
Dates
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Abstract Due:
16 October 2019

Author Notification:
20 December 2019

Manuscript Due Date:
1 April 2020

Conference
Committee
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Conference Chairs
Program Committee
Program Committee continued...
  • Darren K. Emge, U.S. Army Edgewood Chemical Biological Ctr. (United States)
  • Timothy J. Johnson, Pacific Northwest National Lab. (United States)
  • Aaron LaPointe, U.S. Army RDECOM CERDEC NVESD (United States)
  • Tanya L. Myers, Pacific Northwest National Lab. (United States)
  • Paul M. Pellegrino, U.S. Army Research Lab. (United States)

Call for
Papers
While the modern era of chemical warfare began over 100 years ago, armies have been using toxic gases, biological threats, as well as incendiary and explosive devices for most of recorded history. The threats of chemical, biological, radiological, nuclear and explosive (CBRNE) hazards continue to advance. However, warring parties with limited resources improvise or reuse older technologies with great effect. Today’s military and homeland protection forces must therefore be prepared for a wide range of threats including many “old ones”. The rising global trend for civil war and internal conflict, especially in large cities, increases the probability that industrialized chemicals will either intentionally or accidentally become a hazard to military and security forces or the localities’ residents. A greater proliferation through the internet of the knowledge necessary to make CBRNE threats, coupled with the trends of rapid innovation and improvisation witnessed in Iraq and Afghanistan with IEDs, will make threat prediction difficult. The non-attribution of strategic CBRNE acts will also make a response difficult without a strong reliance on forensics to narrow down or identify the person(s) or group(s) responsible.

For those of us trying to develop detection capabilities for military, security, and emergency response forces, the current and future strategic environment means that there are literally thousands of lethal materials that can be used as weapons. The sensing of CBRNE threats is important to obtain “real-time” answers that allow actionable decisions to be made on-the-spot; to reduce the logistical burden by moving the analysis closer to the source of the sample; to rapidly screen materials to identify samples that need to be sent to a lab for additional analysis and minimize the number of these samples; and to nondestructively analyze large, valuable, or immovable objects for which excising samples is not possible. The Department of Defense is increasingly interested in offloading forward decision making and analysis from soldiers to software. This will increase the need for signal processing to be more robust and accurate. This conference will also provide a forum for discussion of advances in algorithms for sensor signal and data processing, including signal detection and sensor fusion. Of interest is the detection of low signal-to-noise signals in cluttered signal spaces, for the detection of biological/chemical threats.

In addition to protecting against battlefield CBRNE threats, there is an increasing demand to protect borders, ports, and other geographical points of entry, from the emergent threats of improvised explosive devices (IEDs), homemade explosives (HMEs), nuclear devices, radiological dispersal devices, and illicit narcotics. These threats have elevated the importance of technologies for the reliable detection, classification, and identification of asymmetric threats.

The scientific principles behind many CBRNE detection technologies are similar, despite their diverse application areas. Technologies such as laser induced fluorescence, Raman and infrared spectroscopy, LIBS/LIPS, mass spectrometry, chromatography, specifically labeled antibodies, DNA/RNA extraction and analysis, biomimetic sensors, micromechanical devices and microfluidics have found recent applications in chemical, biological, radiological and explosives sensing. In addition, methods for electro-optical biological monitoring and biomarker sensing technologies are needed to quantify and detect physical and health indicators of exposure to CBRNE materials. Also, new and sophisticated radiation detection systems are needed for better protection of military personnel and civilians from radiological threats.

This conference provides an unprecedented forum for authors from Government, industry, and academia to address a wide variety of CBRNE sensing issues, technologies, and advances in algorithms and signal process of threat related scenarios. Suggested topics for presentation include, but are not limited to:
  • novel CBRNE detection modalities and materials
  • wearable and/or miniature sensors for CBRNE threats
  • integrated photonic applications for CBRNE threats
  • biological surveillance and monitoring, methods, and analysis
  • through barrier detection techniques for CBRNE sensing of hidden threats
  • quantum sensing applications for CBRNE detection
  • machine learning for detection and identification
  • low signal-to-noise or clutter processing
  • background removal/clutter rejection/image processing
  • signal processing and data analytics for detection and identification
  • modeling of sensor phenomenology and performance
  • unmanned and/or autonomous ground or aerial CBRNE detection
  • environmental monitoring of CBRNE or hazardous materials
  • atmospheric transport phenomena for CBRNE releases
  • environmental fate and transport of CBRNE materials
  • novel decontamination and remediation technologies
  • micromechanical components/nano-composite materials for CBRNE sensing
  • biologically inspired or biomimetic CBRNE sensors
  • active/passive detection and identification
  • results/status of laboratory testing (live or attenuated agents, simulants)
  • results/status of field testing (live or attenuated agents, simulants)
  • gamma and neutron detection techniques
  • standoff detection of ionizing radiation
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