Displaying 25 - 27 of 32
| ID# | Organization type | Agency interests | Capabilities offered | Equipment & facilities | Organization area of interest(s) | Other offerings | Partner capabilities sought | Partner type | Partner area of interest(s) | Other partner skills sought |
|---|---|---|---|---|---|---|---|---|---|---|
| Academic | He has a background in structural engineering and thermal sciences, to include interest in finite element, NDE, fatigue, and fracture and composite metals. He has previously worked at the NASA Glenn Research Center and Cleveland State University and is a licensed Professional Engineer in the State of Ohio. He is also a fellow of the American Society of Mechanical Engineers and a fellow of The American Society for Non-Destructive Testing. | High temperature materials testing equipment and facilities is a plus... |
|
I have a long history working with NASA in the materials area, including just completing a research sabbatical collaboration on engine EBC’s. Have established a contact with NASA Glenn in support of this solicitation and obtained a non-official approval of using the faculties available at NASA Glenn supporting this research activity. | He specializes in the development of advanced materials for aerospace applications, particularly in the field of propulsion systems. His work focuses on improving the performance and durability of engine components, such as turbine blades and thermal protection systems, using innovative materials and manufacturing techniques. He has contributed to various research projects aimed at advancing the state-of-the-art in propulsion technology, with a particular emphasis on reducing weight, increasing efficiency, and enhancing reliability. His expertise in materials science and engineering plays a crucial role in addressing the challenges associated with operating in extreme environments, such as high temperatures and corrosive atmospheres. | Both academic and industry partners | Hypersonic, CFD, finite element and materials testing, non-destructive testing, composite materials | |||
| Academic | my research expertise encompasses several domains relevant to the specified areas: 7.2.a. Health and Human Performance: Predictive AI for Medical Triage and Logistics Predictive AI for Medical Triage: My research in Big Data and Machine Learning has been applied to healthcare, notably in developing AI systems for rapid medical triage. For instance, I co-authored a study on using routine clinical data to develop an AI screening test for COVID-19, facilitating swift patient assessment. AI-Supported Medical Logistics: My expertise in Cyber-Physical Systems and Smart Health suggests capabilities in integrating AI with medical logistics, potentially enhancing decision-making in en route care scenarios. 7.2.b. Health and Human Performance: AI-Supported Logistics Planning for Operational Commanders AI in Logistics Planning: My work in Big Data and Machine Learning and Cybersecurity and Privacy can be leveraged to develop AI-driven logistics planning tools, aiding operational commanders in resource allocation and mission planning. 7.4.b. Commercial Space in Low Earth Orbit: Space-Based Space Situational Awareness Space Situational Awareness: While my profile does not explicitly mention space-based research, my background in Wireless Networking and Mobile Computing and Cyber-Physical Systems could be applied to develop systems for monitoring and managing space assets in Low Earth Orbit. 7.5.a. Quantum Technologies: Sensing and Timing Systems Quantum Sensing and Timing: My involvement in Quantum Networking and Distributed Computing indicates a foundation in quantum technologies, which could be directed towards enhancing the sensitivity and accuracy of quantum sensing and timing systems. 7.6.a. Autonomy: Autonomous Systems Operations Autonomous Systems: My research in Autonomous Driving and Cyber-Physical Systems demonstrates a commitment to advancing autonomous system operations, focusing on the integration and security of these technologies. In summary, my multidisciplinary expertise positions me to contribute significantly to advancements in health-related AI applications, space situational awareness, quantum technologies, and autonomous systems operations. |
|
Both academic and industry partners |
|
||||||
| Academic | We develop AI-driven simulation and decision-support tools that model complex human and system behaviors during health-related events and high-stress scenarios. Our capabilities include agent-based modeling, machine learning, reinforcement learning, and application development for dual-use environments. We specialize in rapidly deployable, cross-platform solutions that enable real-time intervention testing, with secure development pipelines and experience operating in both civilian and classified settings. | While no specific equipment or facilities are required, we welcome partners with access to relevant medical, simulation, or computing resources that could support development, testing, or validation. This may include access to clinical insights, simulated care environments, or data that can inform or refine AI-enabled decision support tools. |
|
We offer expertise in agent-based modeling, AI/ML/RL research, and data analytics for military applications. Our team has experience developing interactive tools that support real-time decision-making and intervention modeling during disease outbreaks or high-stress environments. We are currently working on a platform that identifies optimal intervention strategies in complex systems. We also have strong capabilities in: Applied AI/ML, including reinforcement learning (RL) for adaptive systems and policy optimization. Secure software and application development, with a focus on cross-platform deployment. Containerized development environments (e.g., Docker, Kubernetes) and CI/CD with GitLab for rapid prototyping and deployment. Computational modeling and simulation for both civilian and defense applications. Data migration and system integration, with experience working in air-gapped and classified environments. Collaborations involving classified networks and secure registries. Our team supports interdisciplinary research and development, with close ties to regional research initiatives and mission-focused government partnerships. | We are seeking collaborators with expertise in clinical or applied health domains (e.g., medicine, nursing, human performance) as well as in computer science or mathematics. Ideal partners would contribute to the development, validation, or integration of technologies that address physiological or psychological health challenges. We are particularly interested in collaborators with experience in health interventions, data modeling, simulation, machine learning, or optimization techniques relevant to health and human performance in operational settings. | Academic research partner |
|
We are seeking technical competencies in clinical research, biomedical data analysis, human performance monitoring, health intervention design, machine learning, reinforcement learning, and mathematical modeling. Additional value would come from capabilit |
Check the ID# for the organizations above with which you would be interested in meeting. As you make selections, the Partner IDs are automatically entered below. Enter your contact information and we will review your request.
OFRN will facilitate all requested introductions; it is up to you whether you choose to pursue them.