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Dive into the research topics where Danial Faghihi is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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FDT-BioTech: Uncertainty Quantification in Deep Learning-Driven Digital Twins for Risk-Averse Decisions: Application in Type 1 Diabetes Management
Faghihi, D. (PI), Mastrandrea, L. (CoI), Pitman, E. B. (CoI), Simakov, N. (CoI) & Singh, T. (CoI)
09/15/25 → 08/31/28
Project: Research
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Research Seed Grant Program
Zhou, C. (CoI), Lacy, D. (CoI), Park, J. (CoI), Beverley, J. (CoI), Paul, M. (CoI), Shin, D. (CoI), Watson, D. (CoI), Jarvis, J. (CoI), Shin, S. (CoI), Tripp, J. (CoI), Ford Versypt, A. (CoI), Smith, B. (CoI), Faghihi, D. (CoI), Aga, D. (CoI), Subryan, H. (CoI), Xu, W. (CoI), Lao, Y.-H. (CoI), Cavuoto, L. (CoI), Sisto, S. (CoI), Chen, H.-Y. (CoI), Sun, Y. (CoI), Liu, X. (CoI), Halterman, M. (CoI), Orom, H. (CoI), Meyer, P. (CoI), Gokcumen, O. (CoI), Cook, T. (CoI), Ferkey, D. (CoI), Alexander, J. (CoI), Atilla-Gokcumen, G. (CoI), Almas, B. (PI), Iacabucci, J. (PI), Agrawal, S. (CoI), Boivin, B. (CoI), Boon, E. (CoI), Brooks, T. (CoI), Callahan, B. (CoI), Chakraborty, N. (CoI), Chen, J. (CoI), Choi, S. (CoI), Citovsky, V. (CoI), Downs, C. (CoI), Elias Arriaga, A. L. (CoI), Feinberg, E. (CoI), Feldblyum, J. (CoI), Fries, B. (CoI), Guo, H. (CoI), Hamideh, S. (CoI), Henkes, G. (CoI), Huang, R. (CoI), Ionas, F. (CoI), Ke, C. (CoI), Kim, H. (CoI), Lapenis, A. (CoI), Lee, J. U. (CoI), Leighton, G. (CoI), Leung, H.-C. (CoI), Liu, H. (CoI), Loh, S. (CoI), Luo, J. (CoI), Mofakham, S. (CoI), Mueller, K. (CoI), Ning, F. (CoI), Oktyabrsky, S. (CoI), Pisconti, A. (CoI), Razavi Aghjeh, M. J. (CoI), Salman, E. (CoI), Scimemi, A. (CoI), Shelly, M. (CoI), Siegel, P. (CoI), Sirotkin, H. (CoI), Tumey, L. N. (CoI) & Wang, Y. (CoI)
04/1/22 → 03/31/27
Project: Research
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CAREER: Reliable Superinsulated Building Envelopes via Predictive Multiphysics Modeling
Faghihi, D. (PI) & Kim, S. (CoI)
02/15/22 → 01/31/27
Project: Research
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Physics-based Machine Learning for Manufacturing High Temperature Ceramic Matrix Composite
Chen, J. (PI), Faghihi, D. (CoI), Salac, D. (CoI) & Wodo, O. (CoI)
US Navy Office of Naval Research
02/1/22 → 06/30/24
Project: Research
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Predictive Science: A Quest for the Holy
Patra, A., Faghihi, D., Jha, P. K., Cao, L. & Farrell-Maupin, K. A., Jan 1 2026, In: Computing in Science and Engineering. 28, 1, p. 30-40 11 p.Research output: Contribution to journal › Article › peer-review
1 Scopus citations -
Preface to the Special Issue
Faghihi, D., Jha, P. K. & Prudhomme, S., Jan 1 2026, In: Computing in Science and Engineering. 28, 1, p. 4-9 6 p.Research output: Contribution to journal › Editorial
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Uncertainty Quantification of Slab Burner Simulation: Surrogates, Forward Propagation, and Parameter Calibration
Georgalis, G., Becerra, A., Budzinski, K., McGurn, M., Faghihi, D., Desjardin, P. E. & Patra, A., Mar 1 2026, In: Journal of Propulsion and Power. 42, 2, p. 212-226 15 p.Research output: Contribution to journal › Article › peer-review
Open Access -
Chance-constrained optimal design of porous thermal insulation systems under spatially correlated uncertainty
Singh, P. K. & Faghihi, D., Sep 2025, In: Structural and Multidisciplinary Optimization. 68, 9, 178.Research output: Contribution to journal › Article › peer-review
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Stochastic deep learning surrogate models for uncertainty propagation in microstructure–properties of ceramic aerogels
Islam, M. A., Deighan, D., Bhattacharjee, S., Tantalo, D., Singh, P. K., Salac, D. & Faghihi, D., Aug 2025, In: Computational Materials Science. 258, 114035.Research output: Contribution to journal › Article › peer-review
2 Scopus citations