Our vision for Research & Development at Elder Research is to discover, incubate, and accelerate innovative and validated research into viable technology to solve the most challenging data problems and address real needs.
Our Vision for R&D
Discover
We draw on our collective in-house experience, extensive network of academic collaborators, and partners to identify needs and opportunities.
Incubate
We establish priority for our R&D investments based on market opportunities and execute proofs-of-concept to demonstrate value of a solution pathway.
Accelerate
We accelerate promising proofs-of-concept to prototype through funded development (e.g., SBIR) to commercialization.
Our SBIR Successes
We have had the honor to work on many challenging and rewarding problems in R&D. A few recent results we are particularly proud of include:
NASA’s "First Ever"
Selected as NASA’s first ever Sequential Phase II STTR awardee (80NSSC19C0067).
Pioneering Disease Research
Conducted pioneering research into effective, early-identification of Alzheimer’s using data-driven methods (NIH Grant 1R43AG063581-01A1).
Awarded $2.5 Million
Won $2.5 million in SBIR & STTR awards since 2011 ($1.8MM since 2014) into advance modeling for fatigue and corrosion fatigue of critical gas turbine engine components.
NAVAIR Phase I & II (N68335-13-C-0101). NASA Phase I & II (NNX15CC33C).
R&D Focus Areas
Biomarker Identification & Detection
Machine Learning based approaches to the detection of pathogens and degenerative neurological conditions like Alzheimer’s.
Corrosion Fatigue
Modular, physics-based frameworks for predicting gas-turbine engine hot corrosion and fatigue life of critical components.
Geospatial AI & ML
Novel applications of Machine Learning and Deep Learning techniques to complex data fusion and analysis of geospatial datasets for decision support and earth sciences applications (e.g., disaster relief, GCM downscaling).
Machine Reliability
Innovative applications of Machine Learning to complex fault diagnosis and detection problems in IIoT systems for critical infrastructure management.
Text Mining
Practical and innovative applications of Natural Language Processing, Deep Learning, and Machine Learning technology to anomaly detection using unstructured text information.