Displaying 7 - 9 of 12
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 | Our expertise lies in Reduced Order Modeling, Multi-Fidelity Computational Fluid Dynamics (CFD), and Machine Learning (ML) Algorithms to accelerate applied research in thermofluid dynamics, environmental systems, and energy solutions. We specialize in integrating computational and experimental methods for predictive modeling, optimizing smart infrastructure, hybrid energy deployment, and fluid-thermal interactions. Our capabilities extend to digital twins, microgrid analysis, and UAV-enabled environmental monitoring, supporting advanced energy resilience, hazard mitigation, and data-driven decision-making. | To bridge my expertise in Reduced Order Modeling (ROM), Multi-Fidelity Computational Fluid Dynamics (CFD), and Machine Learning (ML) with the selected research areas, I seek access to testbeds for autonomous systems validation, environmental sensing platforms, and high-fidelity thermal management facilities. Specifically, resources such as hardware-in-the-loop (HIL) testing environments for autonomy, AI-driven sensor fusion labs, wind tunnels for aerothermal studies, and high-performance computing (HPC) clusters will be critical for integrating and validating AI-supported decision-making, trusted autonomy metrics, and high-speed aircraft thermal management. Access to quantum computing and data-driven optimization tools would further enhance collaboration within hypersonics, AI-supported logistics, and advanced materials research. |
|
My research lab, Multiscale Multiphysics Modeling and Data-Driven Analysis of Thermofluids (M3TFluiD), is equipped with a state-of-the-art drone fleet featuring thermal cameras and LiDAR, multiple weather sensors, and access to high-performance computing servers for computational and experimental studies. | We seek collaboration opportunities in autonomous systems operations, trusted autonomy, AI-supported logistics, and hypersonic thermal management by integrating multi-fidelity computational modeling, Reduced Order Modeling (ROM), and machine learning (ML) algorithms. Our expertise in fluid-thermal system optimization, predictive analytics, and sensor fusion supports adaptive decision-making, reliability assessments, and operational efficiency. While our primary focus is on computational thermofluid dynamics and system-level integration, we aim to team up with domain experts to address the technical needs of autonomy, AI-driven logistics, and high-speed aircraft heat rejection through an interdisciplinary approach. Given the OFRN partnership requirements, we welcome collaboration with Ohio industries, universities, and federal research labs to develop scalable, data-driven solutions that align with DoD priorities. | Both academic and industry partners |
|
To enhance the success of the proposed research, we seek expertise in real-time sensor integration, multi-scale system optimization, and adaptive control strategies. Our focus on Reduced Order Modeling (ROM), Multi-Fidelity Computational Fluid Dynamics (C | ||
Large Business | We developed a mobile medical documentation and decision support tool for AFRL's 711th Human Performance Wing. It autonomously collects and integrates physiological data from various sensors, reducing cognitive load on medics and enabling faster, more accurate care in austere and operational environments. |
|
We seek expertise in AI-driven remote patient monitoring to enhance autonomous medical decision support and real-time physiological analytics. Our focus is on integrating machine learning algorithms for predictive diagnostics, anomaly detection, and automated triage within austere and operational environments. We are particularly interested in partnerships that advance continuous (remote) physiological monitoring and adaptive AI models that improve patient outcomes in dynamic settings, such as aeromedical evacuation and prolonged field care. | Both academic and industry partners |
|
Interested / seeking partners for: AI, data analytics, clinical decision support, remote patient monitoring, AI-supported logistics planning. | ||||
Small Business | We are a small business and are developing fluorescent Nitrogen-Vacancy diamonds for biomedical applications. We are calling this area of commercialization Quantum Biotechnology. We perform a number of bioconjugations on the diamond surface to couple DNA, proteins and small molecules. We can conduct a number of optical techniques to analyze the interaction of molecules. |
|
We are working with NV-center nanodiamonds. We can produce NV-centers, perform chemistry and biochemistry on the nanodiamonds, and perform Optically Detected Magnetic Resonance (ODMR), and T1 analysis. We build our own optical devices, have fully functional wet lab space including Schlenk lines for inert gas chemistry. We also have an area for small instrument tooling. Instruments include FTIR, DLS, Nanodrop spectrophotometer, confocal and epifluorescence microscopes, microbalance, centrifuges, pH meters, etc. | We are looking for academic institutions who might to work with us on developing Quantum Biotechnologies for biomedical applications. Open to work as a collaborator or to take the lead on Topic 5 Quantum Technologies. | Both academic and industry partners |
|
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.