Landing
Research Interests
- Application of generative AI to engineering and education
- Model-order reduction of turbulent flows
- Numerical heat-transfer
- High-performance computing
Education
- University of Illinois at Urbana-Champaign
PhD, Theoretical and Applied Mechanics, 2022- Advisor: Paul Fischer
- Dissertation: “An augmented basis method for reduced order models of turbulent flow” (available upon request)
- University of Illinois at Urbana-Champaign
MSc, Theoretical and Applied Mechanics, 2019 - University of Illinois at Urbana-Champaign
BSc, Engineering Mechanics (Electrical Engineering Minor), 2016
Academic Work
[1] K Kaneko, C Le Bris, and A T Patera, “Error estimators for the small-Biot lumped approximation for the conduction dunking problem,” preprint, 2024. arXiv: 2406.12047 [math.NA]
[2] K Kaneko and P Fischer, “Augmented reduced order models for turbulence,” Frontiers in Physics, vol. 10, p. 905392, Sep. 2022. doi: 10.3389/fphy.2022.905392
[3] K Kaneko, P-H Tsai, and P Fischer, “Towards model order reduction for fluid-thermal analysis,” Nuclear Engineering and Design, vol. 370, pp. 110866, Dec. 2020. doi: 10.1016/j.nucengdes.2020.110866
[4] K Kaneko, P-H Tsai, and P Fischer, “Model-order reduction of buoyancy- driven heat-transfer,” Transactions of the American Nuclear Society, 1, vol. 121, pp. 844 – 847, Nov. 2019. doi: 10.13182/T31297
[5] P-H Tsai, K Kaneko, and P Fischer, “Reduced order model with constrained optimization for Navier-Stokes equations,” Transactions of the American Nuclear Society, 1, vol. 121, pp. 840 – 843, Nov. 2019. doi: 10.13182/T31285
BibTeX Citation for [1] – [5] and dissertation.