Displaying 28 - 30 of 31
| 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 |
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| Academic | In-situ process monitoring, modeling, part qualification of metal additive manufacturing. Physics based/Surrogate/Deep Learning/Machine Learning models for process-structure-property-performance prediction of metal additive parts. |
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High performance computation, Metal Additive Manufacturing Process Modeling, Thermal CFD modeling, Data Driven/Machine Learning/Deep Learning/Surrogate Modeling. | We are looking into part qualification of the additively manufacture oxide dispersed alloys i.e. laser powder bed fusion or directed energy deposition. | Industry partner |
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| 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... |
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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. |
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Both academic and industry partners |
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