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The Johns Hopkins University - 2016

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Research Description

Research Description By Graduate Engineering Department

Applied Mathematics & Statistics

The department's faculty does research in probability, statistics, optimization, operations research, discrete mathematics, differential equation modeling, financial mathematics, and matrix and numerical analysis. Our mathematical research is used to solve problems of society and technology; in particular, while advancing the subject of mathematics itself, our research also supports work in areas such as medicine, telecommunication, information technology, image analysis, process control, financial services, robotics, and more.

Biomedical Engineering

Research is focused in the following general areas: biomedical imaging, regenerative medicine, computational biology, computational medicine, molecular and cellular systems biology, systems neuroscience and neuroengineering, cardiovascular systems engineering, and medical technology. Biomedical engineering is an interdisciplinary endeavor. New advances require a variety of experimental and conceptual approaches, and faculty are involved in research collaborations that transcend departmental boundaries in both the Schools of Medicine and Engineering.

Chemical & Biomolecular Engineering

Chemical and Biomolecular engineering graduate students at Hopkins participate in collaborative research programs with scientists and engineers at the Homewood campus, the Johns Hopkins Medical Institutions, the Johns Hopkins Institute for NanoBioTechnology, the Applied Physics Laboratory, and nearby government laboratories, such as the National Institutes of Health and the National Institute of Standards and Technology. This research network provides students with the opportunity to conduct research and learn in an extraordinary array of state-of-the-art laboratories.

Civil Engineering

Structural engineering/structural mechanics: e.g., computational mechanics, stochastic mechanics, structural stability, structural systems reliability, damage mechanics and fatigue modeling, finite element modeling, and topology optimization. Resilience of civil systems: probabilistic modeling, hazard assessment, natural disaster modeling, mechanics of extreme events/environments, and risk assessment and mitigation. Multi-scale modeling of materials, structures and systems.

Computer Science

Research Activities in the Department of Computer Science include natural language and speech processing; algorithms theory, analysis and design; networks and distributed systems, wireless computing; cryptography and information security; secure and robust systems, programming languages; robotics, computer-integrated surgical systems; machine learning, human-computer interaction; computer vision and image processing, computer graphics, geometric modeling, information retrieval, internet computing, computational genomics and computational medicine.

Electrical and Computer Engineering

Research activities in the Department of Electrical and Computer Engineering include:

1. Microsystems and Computer Engineering: device and circuit modeling, VLSI sensors and micropower electronics, physics of information processing, analog and VLSI systems, neural computation, computational sensors, robotics, neuromorphic engineering, parallel computing, fault-tolerant computing, computational and biomorphic systems, brain-machine interface, prosthetics, integrated circuits and microsystems
2. Acoustics, Language and Speech Processing: speech recognition, statistical methods of natural language processing, information theory, acoustics and ultra-acoustics science and technology,
3. Photonics, Biophotonics and Opto-Electronics: quantum electronics, quantum optics, optical communications, solitons, opto-electronics, fiber optics, lasers, optical bistability, flexible electronics, photovoltaics, biological imaging science and technology
4. Signal Processing and Imaging Science and Technology : statistical signal and image processing, image understanding, computer vision, medical imaging, computational geometry, filter banks, wavelets, computational systems biology and bioinformatics, brain imaging, functional anatomy
5. Networks, Controls and Systems: linear and nonlinear and hybrid systems theory, robust control, adaptive control, state estimation, model complexity reduction, computational systems biology and bioinformatics, coupled oscillators and smart grids

Environmental Health and Engineering

Natural processes basic to how engineering can help solve environmental problems; understanding of environmental science, ecology, related surficial process involving interactions of chemical, biological and hydrological processes in the environment. Application of engineering solutions in context of public decision including economic, cultural, governmental, and administrative factors; Analysis of interrelationships of engineering and society, especially in the urban environment.

Johns Hopkins University Information Security Institute

Cryptology and network security, security and privacy in computing, medical information privacy and protection, security in storage networks, network and systems security, applied cryptography, cryptographic key distribution, anonymity and computer privacy, electronic commerce, firewalls and network perimeter defenses, security issues in e-voting, applying security to applications such as medical information systems and intellectual property protection, biometrics, privacy and electronic commerce, security in language design, secure internetworking, and sensor networks, network forensics, incident response, computer forensics, mobile device forensics, computer ethics, digital rights management, intellectual property protection, critical infrastructure protection, homeland security and IT auditing.

Materials Science and Engineering

Materials Science and Engineering spans fundamental research on the nature of materials and the relationship between the structures and properties of materials to the integration of new materials into advanced technologies. Specific research programs include synthesis and characterization of nanostructured materials, biomaterials, computational materials science, materials for energy, optoelectronic and magnetic materials, structural materials, electronic materials, ceramics, metastable materials, materials characterization, electrochemistry, physical metallurgy, and organic based electronic materials.

Mechanical Engineering

1. Mechanical Engineering in Biology and Medicine: cellular and subcellular biomechanics, protein folding, surgical robotics, surgical simulation, muscle mechanics, integrative / whole-animal biomechanics, locomotion and neural control, mechanics of the heart, tissue dynamics, impact injury biomechanics, mechanics of transcription, disease diagnostics, medical imaging and spectroscopy.

2. Energy and the Environment: oil-water mixing, underwater particle image velocimetry, multi-exposure holograms of plankton, atmospheric turbulence, bubble in zero gravity, the electrics power grid, and wind farms.

3. Fluid Mechanics and Heat Transfer: complex turbomachinery flow, underwater noise, underwater robots for deep ocean exploration, cavitation, computational modeling of complex flows, and large eddy simulation.

4. Mechanics and Materials: functionally graded material and structures, high-strain rate behavior and impact dynamics, and reactive foils.

5. Micro/Nanoscale Science and Technology: probing MEMS materials, micro-cooling, bubble pumps, sensors and actuators, microfluidics and lab-on-chip systems.

6. Systems, Controls, and Modeling: Mathematical modeling, analysis and control techniques applied to a broad range of natural and engineered systems such as robots, robot networks, biological systems, neural control, medical systems, the electrics power grid, wind farms, fluid systems as well as aerial and marine vehicles.

7. Robotics: robot kinematics, dynamics and control, extreme mobility, aerial and marine vehicles, self-replication and self-repair, teleoperation, and human-computer interaction.


The Laboratory for Computational Sensing and Robotics cultivates a strong interdisciplinary environment to advance the field of robotics, focusing primarily on robotics for health care and biology research, autonomous systems for safety and surveillance, robots in extreme environment, and human-machine interaction. The Robotics MSE program provides multi-disciplinary engineering training to develop and deploy innovative, advanced robotics systems that function effectively in real-world applications.

Research Description By Engineering Research Center

Advanced Mammalian Biomanufacturing Innovation Center

The mission of Advanced Mammalian Biomanufacturing Innovation Center (AMBIC) is to develop enabling technologies, knowledge, and design tools and methods that apply and integrate high-throughput and genome-based technologies to fast-track advanced biomanufacturing focused primarily on upstream issues. AMBIC will bring together leading academic and industrial biotechnologists focused on mammalian cell culture manufacturing at a pre-competitive research level to address the complex problems in biopharmaceutical manufacturing by conducting research in: 1) Understanding Industrially-Relevant Biology (e.g., all -omics, bioinformatics, process and product quality, etc.); 2) Process Monitoring & Control (e.g., analytics, instrumentation, data mining and modeling); 3) Consensus and Standardization Issues (e.g., standards, simple fingerprints, raw material issues, regulatory issues, forensic bioprocessing, clonality). AMBIC is also committed to enlarging the cadre of scientists and engineers capable of advancing biomanufacturing technologies.

Center for Bioengineering Innovation & Design

The Center for Bioengineering Innovation and Design (CBID) is a joint effort at the Johns Hopkins University between Whiting School of Engineering and the School of Medicine to bring translational engineering with a focus towards healthcare technological advancements in biodesign led by the Department of Biomedical Engineering.

The Center for Bioengineering Innovation & Design at Johns Hopkins University educates and develops the next generation of leaders in health care technology innovation. CBID creates and develops solutions for major challenges to human health around the world. Our key measure of success is the positive impact of our students and their solutions on the quality and accessibility of health care worldwide.

Center for Educational Outreach

underrepresented groups in science, technology, engineering and mathematics (STEM). CEO’s focus is to serve the Engineering School, the University, and the broader educational community as a resource to develop and tailor engineering education and outreach programs to encourage all students from Kindergarten through Graduate (K " G) school to pursue STEM studies and careers.

CEO’s efforts are currently focused on 2 initiatives: 1) Engineering Innovation, a summer introductory engineering course for high school students offered at 10 sites in 3 states and 2) BIG STEP (Broader Impact from Graduate Students Transferring Engineering Principles (BIGSTEP) to K " 12 Education).

Engineering Innovation’s mission is to create a national pipeline of innovative and creative thinkers who will lead society’s technological advancements. The program engages high school students in STEM (science, technology, engineering, and mathematics) education, inspires them to consider further studies and careers in engineering, and provides an understanding of basic engineering principles and skills so that students can make informed decisions about their futures. The academic program demystifies technology, emphasizes engineering’s innovative and creative aspects, and exposes students to engineering’s diverse educational and career opportunities with the ultimate goal of reversing the declining national interest in engineering careers and STEM education. For more information about this initiative, go to

The Center for Educational Outreach (CEO) received a grant from the National Science Foundation Division of Graduate Education under their program for Graduate Teaching Fellows in K-12 Education. The Broader Impact from Graduate Students Transferring Engineering Principles (BIGSTEP) to K " 12 Education grant provides for WSE graduate students to work in K-12 schools serving disadvantaged children. The goals of the program are to:
• improve K-12 student achievement in the science, technology, engineering and mathematics (STEM)
• enhance the content knowledge of participating teachers
• facilitate the creation of new materials based on cutting-edge research that are aligned with educational standards
• create enduring, mutually-beneficial partnerships between JHU and disadvantaged K-12 schools
• develop pedagogical skills and understanding of important K-12 issues

Center for Environmental and Applied Fluid Mechanics

The Center for Environmental and Applied Fluid Mechanics (CEAFM) fosters research and teaching involving fluid mechanics by bringing together students, faculty, and researchers from the Whiting School of Engineering, the Krieger School of Arts and Sciences, and the Applied Physics Laboratory. Research areas of the CEAFM faculty and students include fluid flow phenomena in engineering and science covering a wide range of spatial and temporal scales. This includes fluid flows that occur in industrial, transportation, and manufacturing applications, in ocean and coastal engineering, in the treatment of aquatic and air-borne contaminants, in planetary atmospheres and oceans, rivers, subsurface waters, and fluids deep in the earth's interior, in biological systems, and in the microscopic environments relevant to micro-fluidic engineering applications and to aquatic and atmospheric chemistry and biology. CEAFM organizes a weekly seminar course for graduate students to which world-renowned experts in fluid mechanics are invited, as well as a yearly research Symposium in collaboration with the University of Maryland�s Burgers Programs. CEAFM also hosts focused research conferences and longer-term visitors.

Center for Imaging Science

The Center for Imaging Science (CIS) was established in 1998 as a research center at The Johns Hopkins University, Whiting School of Engineering, under the direction of Michael I. Miller. The CIS brings together a diverse group of scientists whose work is highly interdisciplinary and rests on theoretical advances in mathematics and statistics, traditional signal and systems processing, and information theory. CIS faculty members have their principal appointments across a wide range of academic units, including Computer Science, Applied Mathematics and Statistics, Electrical and Computer Engineering, and Biomedical Engineering. More information about participating faculty and their research can be found at

Primary objectives
The CIS is committed to foundational and multi-disciplinary research in modern imaging science, which is viewed in very broad terms revolving around the symbolic interpretation of high-dimensional data. The principal objectives can be divided into three distinct but overlapping components:
Research: Develop the mathematical and algorithmic foundations of imaging science, as well as specific applications, for instance to neuro-psychiatry and machine vision.
Education: Provide a multiyear plan for a coherent, cross-departmental program of study in imaging science, accounting for necessary preparation in mathematics, computer science, and classical signal and image processing.
Technology transfer: Promote faculty and graduate student consulting, patent protection, software licensing, and industrial collaborations.

Core technologies
Achieving these objectives often requires fusing multiple technologies, borrowing ideas and tools from diverse branches of mathematics, computer science, and classical signal and image processing. Examples of such powerful hybrid technologies include constructing probability distributions on geometric transformations, statistical designs for coarse-to-fine search, and Bayesian dynamical systems. Some large-scale projects are organized on a team basis in order to cover a variety of knowledge bases. For instance, the project in computational anatomy requires expertise in areas ranging from differential geometry to parallel computation to neuropsychiatry.

Center for Integrated Structure-Material Modeling and Simulation

Chartered in July 2013, The Center for Integrated Structure-Material Modeling & Simulation (CISMMS) is creating a collaborative, multidisciplinary research and educational program to foster foundational advances in computational modeling, simulation and design in the fields of Integrated Computational Materials Science and Engineering (ICMSE) , Multi-Scale Analysis (MSA) and Computational Structure-Material Analysis and Design (CSMAD).

CISMMS will house a host of smaller centers that have been externally funded by different funding agencies, e.g. NSF, DoD, NASA, DoE and various industries.

Research in CISMMS focuses on:

1. Novel Multi-Scale Computational Methods and Algorithms

2. Statistical and Virtual Representation of Materials using Microstructure Characterization

3. Data-Intensive Computations, Data Mining and Analysis

4. Physics-Based Multi-Scale Computational Modeling Tools

5. Multi-scale Structure-Material Design

6. Probabilistic Modeling and Uncertainty Quantification

7. Experimental and Materials Characterization Support

Center for Language and Speech Processing

The CLSP has close ties to other university departments and centers, as well as with industry, academic and governmental organizations throughout the world. It offers a comprehensive research and education program leading to a Ph.D. degree. Graduate students must first be admitted to a program in an associated department. Research involves work in aspects of language or speech science and technology, with fundamental studies in language modeling, pronunciation modeling, natural language processing, optimality theory, and language acquisition. CLSP also organizes an annual summer research workshop, sponsored by the National Science Foundation and Department of Defense that includes participants from other universities, industry, and the federal government.

Center for Leadership Education

The Center for Leadership Education (CLE) houses three academic programs and a variety of experiential programs in a student-centered environment. Our full-time faculty are seasoned professionals in their disciplines as well as experienced teachers and mentors, and they are complemented by part-time faculty who are active practitioners in their fields. Whether a student wants to start a business, find an internship or hash through career decisions, he or she will find an open door and a resourceful sounding board in CLE faculty.

Center for Materials in Extreme Dynamic Enviornments

The Center for Materials in Extreme Dynamic Environments (CMEDE) is a multi-institution collaborative research center housed within the Hopkins Extreme Materials Institute at Johns Hopkins University. The Center brings together academia, industry, and the Army Research Laboratory (ARL) to address fundamental science issues in materials in extreme dynamic environments through a highly collaborative effort: the Materials in Extreme Dynamic Environments (MEDE) Collaborative Research Alliance (CRA).

Center of Excellence on Integrated Materials Modeling

The Center of Excellence on Integrated Materials Modeling (CEIMM) is intended to create a collaborative, multidisciplinary research and education program that can foster foundational advances in computational and experimental methodologies, supporting the Integrated Computational Materials Science and Engineering (ICMSE) theme. These new generations of computational tools, together with high-resolution imagining tools, give us an opportunity to look far deeper than people could do before. Engineering is being coupled with fundamental sciences through the use of high performance computing and computational science and that is causing a revolution.

CEIMM provides opportunities for a new generation of US scientists and engineers to overcome limitations of empiricism-based phenomenological models through physics-based spatio-temporal multi-scaling approaches. It will prepare graduates with a comprehensive understanding of teh ICMSE paradigm driving future U.S. aerospace structures, materials and propulsion programs.

Cold-Formed Steel Research Consortium

The CFSRC is a multi-institution shared use platform for conducting research on cold-formed steel structures. The CFSRC member universities and their principal investigators utilize shared-used experimental and computational facilities to advance their research. The CFSRC utilizes its team of researchers in cooperation with industry partners to develop a long-term vision of cold-formed steel research compatible with larger-scale funding initiatives of national priority.

Environment, Energy, Sustainability and Health Institute

The Johns Hopkins Environment, Energy, Sustainability, and Health Institute (E²SHI) aims to coordinate and encourage innovative research and teaching that address the health and sustainability problems we face as a result of the changing global environment and to establish integrated approaches that cut across disciplines and divisions.


The overall goals of the Institute are to:

Establish Johns Hopkins University as a world leader in, and provide a single point of contact for, integrative approaches to global environmental change, sustainability, and their related health challenges

Promote the development of interdisciplinary research collaborations and proposals

Stimulate enhancement and coordination of environmental curricula at the undergraduate and graduate levels

Facilitate translation of research into sound policy
Develop collaborative partnerships with the business sector, federal, state, and local agencies, environmental groups, and Baltimore community organizations

Become financially self-sufficient

Hopkins Extreme Materials Institute

The Hopkins Extreme Materials Institute advances the fundamental science associated with materials and structures under extreme conditions. The extreme conditions of interest include extreme rates, extreme pressures, extreme temperatures and generalized loadings that subject materials and structures to conditions that substantially exceed or modify characteristic or intrinsic scales (e.g. stresses greater than their moduli).

As an Institute, we do not merely solve relevant problems, we provide the world with new ways to think about problems of interest.

Human Language Technology Center of Excellence

The Human Language Technology Center of Excellence was founded in January of 2007 at Johns Hopkins University to focus on research in all aspects of speech and language technologies. Doing research at the center is exciting; our mission is to explore highly innovative technologies that could have a significant impact on challenging real-world problems. The center's research focuses on advanced technology for automatically analyzing a wide range of speech, text, and document data in multiple languages. Our research addresses key issues in extracting information from massive sources of text and speech.

The HLTCOE is one of several groups at Johns Hopkins University that jointly work on speech and language research. Relevant departments include Computer Science, Electrical and Computer Engineering, and Applied Mathematics, as well as the Center for Language and Speech Processing. Many HLTCOE researchers have primary and secondary appointments in these other academic departments and centers. Additionally, graduate students from these departments are advised by center researchers.

Institute for Computational Medicine

The mission of the ICM is to develop quantitative approaches for understanding the mechanisms, diagnosis and treatment of human disease through applications of mathematics, engineering and computational science. The Institute includes two research centers, the Center for Imaging Science (CIS) and the Center for Cardiovascular Bioinformatics and Modeling (CCBM), as well as other researchers in the Whiting School of Engineering and the School of Medicine. The Institute includes two research centers, the Center for Imaging Science (CIS) and the Center for Cardiovascular Bioinformatics and Modeling (CCBM), as well as other researchers in the Whiting School of Engineering and the School of Medicine.

Institute for Data Intensive Engineering and Science

The Institute for Data Intensive Engineering and Science will foster education and research in the development and application of data intensive technologies to problems of national interest in physical and biological sciences and engineering. The institute will provide faculty, researchers and students with the structure and resources needed to accomplish these goals.

Institute for NanoBioTechnology

The Johns Hopkins Institute for NanoBioTechnology (INBT) integrates nanobiotechnology research, multidisciplinary education and outreach to industry. To be successful in nanobiotechnology, institutions need a strong base in engineering, the physical sciences, biology, medicine, and public health. Johns Hopkins University is one of the few institutions in the world to possess all the components necessary to create a successful nanobiotechnology center and to establish leadership in this field. INBT brings the expertise of Johns Hopkins’ internationally-renowned faculty members"specialists in medicine, engineering, the sciences, and public health"together with highly trained students and world-class research facilities to create groundbreaking technologies that will revolutionize health care. INBT funds research that draws on the knowledge of diverse specialties and supports the efforts of faculty who collaborate at the interface of disciplines. Students"both graduate, undergraduate and postdoctoral fellows"train to be the innovators and pioneers in the emerging field of nanobiotechnology. Through partnerships with industry, technology developed in INBT laboratories has the opportunity to enter a pipeline and may enjoy increased potential for commercialization.

Johns Hopkins Physical Sciences-Oncology Center

The Johns Hopkins Physical Sciences Oncology Center (PS-OC) takes a trans-disciplinary, integrated approach, bringing together experts in physics, biomedical engineering, cancer biology, ecology, and clinical medicine, to transform our understanding of metastatic cancer, created new standards of care and improve patient outcomes. The mission this center is to help solve the puzzle behind the molecular and physical mechanisms underlying the initial steps of the spread of cancer, that is metastasis, invasion and migration, and help develop predictive models for these mechanism, all leading to new therapeutic targets. Specifically, the Johns Hopkins PS-OC will work on following the journey of cancer cells, traveling both alone and collectively as a group, from the confined, low-oxygen (hypoxic) spaces inside a tumor to the invasion of distant organs. The center will focus on discovering the mechanisms of these early critical steps in cancer cell invasion and migration and identifying key targets in what is known as the “metastatic cascade”. Additionally, computational biophysicists are using mathematics to systematically develop a quantitative understanding of the physical cues involved in the metastatic cascade.

Johns Hopkins University Information Security Institute

The Johns Hopkins University Information Security Institute considers issues relating to the theory and application of information security from a broad, holistic perspective. The foundational premise upon which the Institute has been formed is that information security is pervasive in modern society and can only be realistically studied by interdisciplinary teams representative of the corresonding range of relevant issues. The research and teaching agendas will be based upon a project oriented approach that takes advantage of the available range of backgrounds among the involved participants. In addition to the technical aspects of the information security field, other areas addressed by the research and education missions of the Institute include policy, law, government, commerce, finance, medicine, and entertainment. While housed primarily in the Whiting School, essentially every division/school in the University plays a critical role in the Hopkins Information Security Institute. A significant interactive relationship is being forged with government and industry partners regarding the establishment of research and development directions as well as forums for undergraduate, graduate, and professional educational activities.The Whitaker Biomedical Engineering Institute at Johns Hopkins is an integrative research and education enterprise, which is a joint endeavor of the Schools of Engineering and Medicine. The Institute brings together engineers, scientists and educators, unconstrained by traditional academic structures, to solve problems at the interface between engineering, medicine and biology. Research and education focus on three areas recognized as grand challenges for scientific and engineering research in the 21st century: (1) computational modeling to advance understanding of integrative function in biological systems, including human, and to accelerate the application of that understanding to the design of novel therapeutics; (2) image processing and analysis for imaging systems that can provide a detailed functional description of organs and organ systems tailored to individual patients; and (3) cell and tissue engineering focused on understanding cell-surface and cell-cell interactions and on application of drug and gene delivery to affect those interactions. ( 4) Cardiovascular Systems (5) Systems (6)Neuroscience (7) Molecular and Cellular Systems (8) Neuroengineering.

Laboratory for Computational Sensing & Robotics

The Laboratory for Computational Sensing and Robotics conducts preeminent engineering-science research in computational sensing and robotics - including dynamics, modeling, kinematics, perception, and control of robotic and biological systems; computer vision; machine learning; haptics and human-machine collaborative systems; locomotion; and autonomy. This engineering science research enables advances in diverse application domains including medical robotics, teleoperation, bio-robotics, biological systems, neural control and sensing of movement, robotics in extreme environments, and autonomous robotic systems. The impact of our research and teaching is to enable next-generation, intelligent instruments, devices, platforms, vehicles, and other products that, in turn, create new understanding of the world.

Malone Center for Engineering in Healthcare

The mission of the Malone Center for Engineering in Healthcare (MCEH) is to catalyze and accelerate the development of research-based innovations that advance the effectiveness and efficiency of health care. The center catalyzes cross-disciplinary clinician-engineering teams to identify research-based innovations to improve efficiency and effectiveness of diagnosis and treatment, reduce harm and adverse events, and promote patient and provider usability and satisfaction. Our center members are working to innovate in three focus areas:
• Smart Devices and Systems for Healthcare- creating devices and associated computational and/or information analytics that enhance care in the critical environment
• Modeling and Optimization for Healthcare Delivery- exploiting traditional and new sources of data to create told that enhance the diagnosis, delivery, and quality of healthcare
• Mobile Health and Healthy Living- developing innovations that support individuals outside traditional care environments, that enhance health in everyday life, and that augment traditional healthcare approaches

Whiting School of Engineering Energetic Research Group

The Energetics Research Group (ERG) is a unit of the Johns Hopkins University, Whiting School of Engineering, specializing in propulsion and energetics research. The ERG’s mission is to serve as the touchstone of propulsion and energetics research within the government, private sector and academia; acting as the core for knowledge and expertise, adding value with trusted research and objective analysis, and connecting people and resources-all to ensure that the community is efficient, effective, and vigorous in solving the complex problems of national interest, such as providing the technical and administrative support for the Joint Army-Navy-NASA-Air Force (JANNAF) Interagency Propulsion Committee " the primary technical information exchange platform for the U.S. propulsion industry.