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The Engineering of Biomedical Systems (EBMS)program is part of the Engineering Biology and Health cluster, which also includes 1) Biophotonics; 2) Biosensing; 3) Cellular and Biochemical Engineering; and 4) Disability and Rehabilitation Engineering. The goal of theEBMS program is to provide research opportunities for creating discovery-level and transformative projects that integrate engineering and life sciences to solve biomedical problems and serve humanity in the long term.EBMS projects must be at the interface of engineering and biomedical sciences. They are expected to use an engineering framework (for example, design or modeling) that supports increased understanding of physiological or pathophysiological processes. The project must include objectives that advance both engineering and biomedical sciences. EMBS projects should focus on high-impact, transformative methods and technologies -- especially those that potentially will have a broad impact on biomedical challenges. Projects may include: methods, models, and enabling tools applied to understand or control living systems; fundamental improvements in deriving information from cells, tissues, organs, and organ systems; or new approaches to the design of systems that include both living and non-living components for eventual medical use in the long term. TheEBMS programsupports fundamental and transformative research in the following areas of biomedical engineering:

The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. Analytical methods include, but are not limited to, deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. Methodological research is highly encouraged but must be motivated by problems that have potential for high impact in engineering applications. Application domains of particular interest to the program arise in commercial enterprises (e.g., production/manufacturing systems and distribution of goods, delivery of services), the public sector/government (e.g., public safety and security), and public/private partnerships (e.g., health care, environment and energy). The program also welcomes operations research in new and emerging domains and addressing systemic societal or technological problems. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context. Proposals for methodological research that are not strongly motivated by high-potential engineering applications are not appropriate for this program.

The Biosensing program is part of the Engineering Biology and Health cluster, which also includes 1) the Biophotonics program; 2) the Cellular and Biochemical Engineering program; 3) the Disability and Rehabilitation Engineering program; and 4) the Engineering of Biomedical Systems program. The Biosensing program supports fundamental engineering research on devices and methods for measurement and quantification of biological analytes. Examples of biosensors include, but are not limited to, electrochemical/electrical biosensors, optical biosensors, plasmonic biosensors, and paper-based and nanopore-based biosensors. In addition to advancing biosensor technology development, proposals that address critical needs in biomedical research, public health, food safety, agriculture, forensic, environmental protection, and homeland security are highly encouraged. Proposals that incorporate emerging nanotechnology methods are especially encouraged.

CR1: Sensor Fusion · CR2: Machine Learning Systems for Wireless Cyber Environments · DD1: Research on emerging software development including · DD2: Reserved · DD3: Research and Development of laser propagation, energy density, manufacturing, control, beam forming, and related topics to lasers as weapons in a marine environment · DD4: Research on analysis of mission engineering for emerging weapon systems, systems engineering techniques and algorithms, platform level analysis capabilities, integrated platform analysis capabilities, missions thread visualizations capabilities, and related research topics · DD5: Modeling and simulation research and development including: innovative Model-Based Systems Engineering (MBSE) methods and tools, methods for aggregating data across higher and lower-level simulations, and tools for approaches for linking simulation results with mission effectiveness · DD6: Research on Radar unitization in a marine environment to include component development, power density, advanced signal processing, track processing, and related topics for surface radar applications · DD7: Railgun developmental research including: materials for rail ablation reduction, energy storage, weight reduction, energy recovery, component development, high energy systems components, advanced cooling techniques and related research for railgun systems.

This Funding Opportunity Announcement (FOA) encourages applications that will develop novel technologies and/or tools for the isolation and characterization of extracellular vesicles (EVs) of Central Nervous System (CNS) origin. The primary focus of the technology development includes robust and reproducible CNS-EV isolation methods. Specifically, there is a need to establish technologies for the isolation and purification of CNS-EVs from peripheral samples and the characterization of CNS-EV types, cargos, and origin, as well as to validate these methods for further analyses. Validation of these technologies may include the analysis of the full range of EV composition such as RNA, proteins, lipids, and metabolites.

The Nano-Biosensing program is part of the Engineering Biology and Health cluster, which includes also 1) Cellular and Biochemical Engineering; 2) Engineering of Biomedical Systems; 3) Biophotonics; and 4) Disability and Rehabilitation Engineering. The Nano-Biosensing program supports fundamental engineering research on devices and methods for measurement and quantification of biological analytes. Proposals that incorporate emerging nanotechnology methods are especially encouraged. Areas of interest include: Multi-purpose sensor platforms that exceed the performance of current state-of-the-art devices. Novel transduction principles, mechanisms and sensor designs suitable for measurement in practical matrix and sample-preparation-free approaches. These include error-free detection of pathogens and toxins in food matrices, waterborne pathogens, parasites, toxins, biomarkers in body fluids, and others that improve human condition. Nano-biosensors that enable measurement of biomolecular interactions in their native states, transmembrane transport, intracellular transport and reactions, and other biological phenomena. Studies that examine intracellular measurements must include discussion on the significance of the measurement.

The Operations Engineering (OE) program supports fundamental research on advanced analytical methods for improving operations in complex decision-driven environments. Analytical methods include, but are not limited to, deterministic and stochastic modeling, optimization, decision and risk analysis, data science, and simulation. Methodological research is highly encouraged but must be motivated by problems that have potential for high impact in engineering applications. Application domains of particular interest to the program arise in commercial enterprises (e.g., production/manufacturing systems and distribution of goods, delivery of services), the public sector/government (e.g., public safety and security), and public/private partnerships (e.g., health care, environment and energy). The program also welcomes operations research in new and emerging domains and addressing systemic societal or technological problems. The OE program particularly values cross-disciplinary proposals that leverage application-specific expertise with strong quantitative analysis in a decision-making context. Proposals for methodological research that are not strongly motivated by high-potential engineering applications are not appropriate for this program.

Cracking is a primary mode of distress in asphalt pavements. There are several modes of asphalt pavement cracking-thermal, reflection, fatigue, and top-down-and all are affected by numerous factors and their interactions. Recent research has evaluated a variety of laboratory tests and models to assess the cracking potential of asphalt mixtures and several are recommended for routine use. As asphalt mix designs become more complex with the use of asphalt modifiers, RAP and RAS, and warm mix asphalt technologies, highway engineers have recognized the need to establish and implement reliable performance tests that can be used to evaluate asphalt mixes and ultimately extend the life of asphalt pavements. NCHRP Project 09-57, "Experimental Design for Field Validation of Laboratory Tests to Assess Cracking Resistance of Asphalt Mixtures," developed experimental designs for the ruggedness testing and field validation of candidate laboratory tests to assess the resistance of asphalt mixtures to the four cracking types noted above. Candidate test methods were selected through (a) a critical review of relevant research and state mixture design practices and (b) a workshop with invited experts held in February 2015. The findings and conclusions of the project are summarized in NCHRP Research Results Digest 399: Field Validation of Laboratory Tests to Assess Cracking Resistance of Asphalt Mixtures: An Experimental Design; the contractor's final project report is available at http://onlinepubs.trb.org/onlinepubs/nchrp/docs/NCHRP09-57_FR.pdf. This project is the first in a series proposed to accomplish the field validation designed in Project 09-57. Research is needed to conduct ruggedness testing of the candidate test methods in anticipation of future field validation experiments.

One of the conclusions of this review was that the National Pollutant Discharge Elimination System (NPDES) stormwater permit compliance requirements increasingly include pavement deicer constituents in stormwater discharges. As controls on aircraft deicing runoff have become more widespread and effective, focus on the relative contribution and influence of pavement deicing runoff has increased. The objective of this research is to develop a method to estimate the contributions of airfield pavement deicers and anti-icers to overall oxygen demand (BOD and COD) in stormwater discharges. The method should: Account for sources, fate and transport of airfield pavement deicers and anti-icers; Identify and quantify airfield pavement deicers and anti-icers contained in discharged waters; Account for contributions from other non-airfield pavement-related deicers and anti-icing activities; Be adaptable to background water chemistry, various geographies, airport configurations, soils, topography, climate, weather, and hydrology; Be scalable to levels of resource availability (e.g., data, time, money, personnel, expertise); and Produce output expressed as a percentage of overall BOD and COD attributable to airfield pavement deicers and anti-icers with levels of confidence, and identify uncertainties.

The purpose of this Funding Opportunity Announcement (FOA) is to stimulate efforts to translate scientific discoveries and engineering developments into methods or tools that address problems in basic research to understand disease, or in applied research to assess risk, detect, prevent, diagnose, treat, and/or manage disease. The rationale is to deliver new capabilities to meet evolving requirements for technologies and methods relevant to the advance of research and delivery of care in pre-clinical, clinical and non-clinical settings, domestic or foreign, for conditions and diseases within the missions of participating institutes.

The Engineering Design and Systems Engineering (EDSE) program supports fundamental research into the basic processes and phenomena of engineering design and systems engineering. The program seeks proposals leading to improved understanding about how processes, organizational structure, social interactions, strategic decision making, and other factors impact success in the planning and execution of engineering design and systems engineering projects. It also supports advances pertaining to engineering design and systems engineering in areas that include, but are not limited to, decision making under uncertainty, including preference and demand modeling; problem decomposition and decision delegation; applications of reverse game theory (mechanism design); computer-aided design; design representation; system performance modeling and prediction; design optimization; uncertainty quantification; domain- or concern-specific design methods; and advanced computational techniques for supporting effective human cognition, decision making, and collaboration. Competitive proposals for novel methods will include a plan to evaluate rigorously the effectiveness and performance of the proposed approach.

The objective of the ALAS program is to conduct research and development (R&D) of innovative technological solutions to enhance radio frequency (RF), electro-optical (EO), and multi-spectral (MS) system technologies and sensors along with advancing test measurement techniques and methods necessary to meet cutting edge and emerging warfighter needs. Enhanced RF sensing technologies and systems include; improved radar systems, exploration of RF waveforms, signal processing and algorithm exploration, sensor resource management (SRM), and improved EO-RF systems. Advancing test measurement techniques and methods includes; clutter characterization and mitigation, bistatic and multi-static measurement, distributed/multispectral sensing measurement, and improved antenna and radar cross section (RCS) measurement.

NineSigma, representing an American publicly traded designer, developer and worldwide marketer of consumer brand-name beauty products, is seeking proposals for developing and/or adapting technologies to create a low noise, quiet hair dryer for at-home, consumer use. Solutions can include methods of quieting the motors and/or fans used in hair dryers, or completely new methods of quiet drying that can be applied to a handheld hair dryer.

Naval Surface Warfare Center (NSWC) Crane and the Office of the Undersecretary of Defense for Research and Engineering (OUSD(R&E))'s Joint Hypersonic Transition Office (JHTO) are interested in receiving research proposals in the following areas. Each will have a Period of Performance (PoP) of 12 months. a. Systems-level design of high-temperature composite materials and structures research utilization of fiber architectures and matrix compositions b. Novel position, navigation, and timing and adaptive flight controls c. Design-oriented models to optimize scramjet and multi-mode engines d. Simulation Methods for the Rapid Prediction of Hypersonic Environments e. Addressing the flow path processes that occur in rectangular or curved inlets and isolators including the destabilization that may occur due to junction flows or off-nominal flight conditions f. The development of methods and models including validation experiments and instrumentation to provide high quality data on multiphase blast properties and structural responses to structures g. Improving the understanding of rotating detonation rocket engine (RDRE) physics and developing design solutions for their inherent technical challenges h. Hypersonic Workforce Curricula Development

Growing Convergence Research (GCR) at the National Science Foundation was identified as one of 10 Big Ideas. Convergence research is a means for solving vexing research problems, in particular, complex problems focusing on societal needs. It entails integrating knowledge, methods, and expertise from different disciplines and forming novel frameworks to catalyze scientific discovery and innovation. GCR identifies Convergence Research as having two primary characteristics: Research driven by a specific and compelling problem. Convergence Research is generally inspired by the need to address a specific challenge or opportunity, whether it arises from deep scientific questions or pressing societal needs. Deep integration across disciplines. As experts from different disciplines pursue common research challenges, their knowledge, theories, methods, data, research communities and languages become increasingly intermingled or integrated. New frameworks, paradigms or even disciplines can form sustained interactions across multiple communities. A distinct characteristic of convergence research, in contrast to other forms of multidisciplinary research, is that from the inception, the convergence paradigm intentionally brings together intellectually diverse researchers and stakeholders to frame the research questions, develop effective ways of communicating across disciplines and sectors, adopt common frameworks for their solution, and, when appropriate, develop a new scientific vocabulary. Research teams practicing convergence aim at developing sustainable relationships that may not only create solutions to the problem that engendered the collaboration, but also develop novel ways of framing related research questions and open new research vistas.

Nanomanufacturing is the production of useful nano-scale materials, structures, devices and systems in an economically viable manner. The NSF Nanomanufacturing Program supports fundamental research in novel methods and techniques for batch and continuous processes, top-down (addition/subtraction) and bottom-up (directed self-assembly) processes leading to the formation of complex heterogeneous nanosystems. The program supports basic research in nanostructure and process design principles, integration across length-scales, and system-level integration. The Program leverages advances in the understanding of nano-scale phenomena and processes (physical, chemical, electrical, thermal, mechanical and biological), nanomaterials discovery, novel nanostructure architectures, and new nanodevice and nanosystem concepts. It seeks to address quality, efficiency, scalability, reliability, safety and affordability issues that are relevant to manufacturing. To address these issues, the Program encourages research on processes and production systems based on computation, modeling and simulation, use of process metrology, sensing, monitoring, and control, and assessment of product (nanomaterial, nanostructure, nanodevice or nanosystem) quality and performance.

Nanomanufacturing is the production of useful nano-scale materials, structures, devices and systems in an economically viable manner. The NSF Nanomanufacturing Program supports fundamental research in novel methods and techniques for batch and continuous processes, top-down (addition/subtraction) and bottom-up (directed self-assembly) processes leading to the formation of complex heterogeneous nanosystems. The program supports basic research in nanostructure and process design principles, integration across length-scales, and system-level integration. The Program leverages advances in the understanding of nano-scale phenomena and processes (physical, chemical, electrical, thermal, mechanical and biological), nanomaterials discovery, novel nanostructure architectures, and new nanodevice and nanosystem concepts. It seeks to address quality, efficiency, scalability, reliability, safety and affordability issues that are relevant to manufacturing. To address these issues, the Program encourages research on processes and production systems based on computation, modeling and simulation, use of process metrology, sensing, monitoring, and control, and assessment of product (nanomaterial, nanostructure, nanodevice or nanosystem) quality and performance.

The purpose of this funding opportunity announcement is to encourage Small Business Innovation Research (SBIR) applications from eligible small business concerns proposing to design and produce a non-invasive, discreet, wearable device to monitor blood alcohol levels in real time. Methods that quantify alcohol in blood or interstitial fluid as opposed to detection of alcohol that has exuded through the skin are of particular interest.

The purpose of this funding opportunity announcement is to encourage Small Business Innovation Research (SBIR) applications from eligible small business concerns proposing to design and produce a non-invasive, discreet, wearable device to monitor blood alcohol levels in real time. Methods that quantify alcohol in blood or interstitial fluid as opposed to detection of alcohol that has exuded through the skin are of particular interest.

The Chemical Measurement and Imaging Program supports research focusing on chemically-relevant measurement science and chemical imaging, targeting both improved understanding of new and existing methods and development of innovative approaches and instruments.  Research areas include but are not limited to sampling and separation science; electroanalytical chemistry; spectrometry; and frequency- and time-domain spectroscopy.  Development of new chemical imaging and measurement tools probing chemical properties and processes are supported.  Innovations enabling the monitoring and imaging of chemical and electronic processes across a wide range of time and length scales are also relevant.  New approaches to data analysis and interpretation (including chemometrics) are encouraged.  Proposals addressing established techniques must seek improved understanding and/or innovative approaches to substantially broaden applicability.  Sensor-related proposals should address new approaches to chemical sensing, with prospects for broad utility and significant enhancement of current capabilities.

The Chemical Measurement and Imaging Program supports research focusing on chemically-relevant measurement science and chemical imaging, targeting both improved understanding of new and existing methods and development of innovative approaches and instruments.  Research areas include but are not limited to sampling and separation science; electroanalytical chemistry; spectrometry; and frequency- and time-domain spectroscopy.  Development of new chemical imaging and measurement tools probing chemical properties and processes are supported.  Innovations enabling the monitoring and imaging of chemical and electronic processes across a wide range of time and length scales are also relevant.  New approaches to data analysis and interpretation (including chemometrics) are encouraged.  Proposals addressing established techniques must seek improved understanding and/or innovative approaches to substantially broaden applicability.  Sensor-related proposals should address new approaches to chemical sensing, with prospects for broad utility and significant enhancement of current capabilities.

Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation as well as risk management in the presence of uncertainty, sub-system failures and stochastic disturbances. EPCN also invests in adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest also include systems analysis and design for energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.

Recent advances in communications, computation, and sensing technologies offer unprecedented opportunities for the design of cyber-physical systems with increased responsiveness, interconnectivity and automation. To meet new challenges and societal needs, the Energy, Power, Control and Networks (EPCN) Program invests in systems and control methods for analysis and design of cyber-physical systems to ensure stability, performance, robustness, and security. Topics of interest include modeling, optimization, learning, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation as well as risk management in the presence of uncertainty, sub-system failures and stochastic disturbances. EPCN also invests in adaptive dynamic programing, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN supports innovative proposals dealing with systems research in such areas as energy, transportation, and nanotechnology. EPCN places emphasis on electric power systems, including generation, transmission, storage, and integration of renewables; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory and economic structures and with consumer behavior. Also of interest are interdependencies of power and energy systems with other critical infrastructures. Topics of interest also include systems analysis and design for energy scavenging and alternate energy technologies such as solar, wind, and hydrokinetic. The program also supports innovative tools and test beds, as well as curriculum development integrating research and education. In addition to single investigator projects, EPCN encourages cross-disciplinary proposals that benefit from active collaboration of researchers with complementary skills.

The Macromolecular, Supramolecular and Nanochemistry (MSN) Program focuses on basic research that addresses fundamental questions regarding the chemistry of macromolecular, supramolecular and nanoscopic species and other organized structures and that advances chemistry knowledge in these areas.  Research of interest to this program will explore novel chemistry concepts in the following topics: (1) The development of novel synthetic approaches to clusters, nanoparticles, polymers, and supramolecular architectures; innovative surface functionalization methodologies; surface monolayer chemistry; and template-directed synthesis.  (2) The study of molecular-scale interactions that give rise to macromolecular, supramolecular or nanoparticulate self-assembly into discrete structures; and the study of chemical forces and dynamics that are responsible for spatial organization in discrete organic, inorganic, or hybrid systems (excluding extended solids).  (3) Investigations that utilize advanced experimental or computational methods to understand or to predict the chemical structure, unique chemical and physicochemical properties, and chemical reactivities that result from the organized or nanoscopic structures.  Research in which theory advances experiment and experiment advances theory synergistically is of special interest.

The Macromolecular, Supramolecular and Nanochemistry (MSN) Program focuses on basic research that addresses fundamental questions regarding the chemistry of macromolecular, supramolecular and nanoscopic species and other organized structures and that advances chemistry knowledge in these areas.  Research of interest to this program will explore novel chemistry concepts in the following topics: (1) The development of novel synthetic approaches to clusters, nanoparticles, polymers, and supramolecular architectures; innovative surface functionalization methodologies; surface monolayer chemistry; and template-directed synthesis.  (2) The study of molecular-scale interactions that give rise to macromolecular, supramolecular or nanoparticulate self-assembly into discrete structures; and the study of chemical forces and dynamics that are responsible for spatial organization in discrete organic, inorganic, or hybrid systems (excluding extended solids).  (3) Investigations that utilize advanced experimental or computational methods to understand or to predict the chemical structure, unique chemical and physicochemical properties, and chemical reactivities that result from the organized or nanoscopic structures.  Research in which theory advances experiment and experiment advances theory synergistically is of special interest.