- Start It PDX – Nov. 2016
- Success Story – SBA Portland – Jan. 2017
- Consumer Electronics Show – Las Vegas – Jan. 2017
- Presentation for SAE Oregon – Daimler Trucks North America – March 2017
- Patent Granted – All-Electronic Ecosystems for Design and Collaboration – March 2018
- Paper at 2018 SAE World Congress – Big Data Analytics for Improving Fidelity of Engineering Design Decisions – April 2018
- Paper at 2019 SAE World Congress – Evaluation of Ecosystem for Design Assessment and Verification by BAJA Dynamometer Capstone Team at the University of Nebraska – April 2019
- Presentation at the 2019 High-Entropy World Congress – Data Analytics and Machine
Learning to Accelerate Materials Design and Processing Development of High
Entropy Alloys – Nov. 2019 - DOE ARPA-E Workshop on Ultrahigh Temperature Materials – Seattle – Nov. 2019
- Air Force STTR Project – Use of Artificial Intelligence (Joint Optimization) to Accelerate Development of New Energetic Materials – 2020
- Patent Granted – Automatic Requirement Verification Engine and Analytics – Dec. 2020
- Navy SBIR Project – Developing Alloy Compositions Conducive to Additive Manufacturing (N211-085) – 2021
- Patent Granted – Decisions with Big Data – Nov. 2022
- Senior Design Project – Design and Development of Refractory High-entropy Alloys with Strength and Ductility using Machine Learning – 2022 – 2023
- Poster at 2023 ICHEM Conference – Optimization of Refractory High-Entropy Alloy Strength and Ductility through a Predictive Development Process – June 2023
- Poster at 2023 ICHEM Conference – Irradiation Review of High-Entropy Alloys – June 2023
- Poster at 2023 ICHEM Conference – Towards a Holistic Understanding of Strengthening Mechanisms and their Differences within Conventional Superalloys and Novel Multi-Principal Element Alloys – June 2023
- Poster at 2024 Exhibition of Undergraduate Research and Creative Achievement (EURÄ“CA) at the University of Tennessee in Knoxville, – Predicting the Fatigue-Endurance Limit of High-Entropy Alloys Using Machine Learning – April 2024