
Jason Sebastian
President
Gary Whelan
Director of Research & Development
As Director of Research and Development at QuesTek Innovations LLC, Gary Whelan, Ph.D., leads efforts to identify key materials challenges for industry innovators and apply Integrated Computational Materials Engineering (ICME) methodologies to resolve those challenges and enable technology advancements. At QuesTek Gary has worked on modeling and alloy design in Titanium, Nickel, Steel, Cast Iron, Aluminum, and NiTi Shape Memory Alloy material systems, with an emphasis on additive manufacturing of structural alloys.
Gary completed his B.Eng. in Mechanical Engineering at the Memorial University of Newfoundland in Canada where he conducted research in corrosion of steel in sulfurous environment for oil and gas applications as well as developing an award-winning prototype hyperloop pod with the Paradigm Hyperloop group that placed 2nd globally at SpaceX’s design competition. Gary completed his M.S. in Mechanical Engineering concurrently with his Ph.D. in Materials Science and Engineering at the Georgia Institute of Technology under the supervision of Prof. David L. McDowell and with support of a multi-year Office and Naval Research program to develop microstructure-sensitive fatigue modeling workflows for Ti-6Al-4V and AA7075-T6 alloys for naval aircraft applications.
Professional Associations
- Member – the Mineral, Metals & Materials Society (TMS)
- Chair, Chicago Regional Chapter, ASM International (2021-2022)
Media/Press
Selected Publications
- Whelan, G. “Using Integrated Computational Materials Engineering for Oil and Gas Applications”. Offshore Technology Conference (2024).
- Hansen, C. K., Whelan, G., & Hochhalter, J. D. “Interpretable machine learning for microstructure-dependent models of fatigue indicator parameters”. International Journal of Fatigue (2024).
- Whelan, G., Gong, J., Olson, G. B. “Using digital twins to accelerate qualification and certification of fatigue critical components” 31st International Committee of Aeronautical Fatigue (2023)
- Whelan, G., McDowell, D.L. “Machine Learning Enabled Uncertainty Quantification for Modeling Structure-Property Linkages for Fatigue Critical Engineering Alloys Using an ICME Workflow”. TMS Integrated Materials and Manufacturing Innovation (2020)
- Whelan, G., McDowell, D.L. “Uncertainty quantification in ICME workflows for fatigue critical computational modeling”. Elsevier Engineering Fracture Mechanics Digital Twin Special Issue (2019)