## Journal Papers

## 2018

- Lee, T., Turin, S. Y., Gosain, A. K., Bilionis, I., Tepole A. B. (2018). Propagation of material behavior uncertainty in a nonlinear finite element model of reconstructive surgery,
*Biomechanics and Modeling Mechanobiology,*1-17. [URL] - Liu, X., Paritosh, P., Awalgaonkar, N. M., Bilionis, I., Karava, P. (2018). Model predictive control under forecast uncertainty for optimal operation of buildings with integrated solar systems,
*Solar Energy*,*171*, 953-970. [URL] - Shergadwala, M., Bilionis, I., Kannan, K., Panchal, J. H. (2018). Quantifying the impact of domain knowledge and problem framing on sequential decisions in engineering design.
*Journal of Mechanical Design, 140(10)*. [URL] - Pandita, P., Bilionis, I., Panchal, J., Gautham, B. P., Joshi, A., Zagade, P. (2018). Stochastic multi-objective optimization on a budget: Application to multipass wire drawing with quantified uncertainties.
*International Journal for Uncertainty Quantification, 8(3).*[URL] - Dachowicz, A., Chaduvula, S. C., Atallah, M. J., Bilionis, I., Panchal, J. H. (2018). Strategic information revelation in collaborative design.
*Advanced Engineering Informatics, 36,*242-253. - Xiong, J., Tzempelikos, A., Bilionis, I., Awalgaonkar, N. M., Lee, S., Konstantzos, I., Sadeghi, S. A., Karava, P. (2018). Inferring personalized visual satisfaction profiles in daylit offices from comparative preferences using a Bayesian approach.
*Building and Environment, 138,*74-88. - Sadeghi, S. A., Lee, S., Karava, P., Bilionis, I., & Tzempelikos, A. (2018). Bayesian classification and inference of occupant visual preferences in daylit perimeter private offices.
*Energy and Buildings, 166,*505-524. [URL]

## 2017

- Alrefae, M. A., Kumar, A., Pandita, P., Candadai, A., Bilionis, I., & Fisher, T. S. (2017). Process optimization of graphene growth in a roll-to-roll plasma CVD system.
*AIP Advances*,*7*(11), 115102. [URL] - Lee, S., Bilionis, I., Karava, P., & Tzempelikos, A. (2017). A Bayesian approach for probabilistic classification and inference of occupant thermal preferences in office buildings.
*Building and Environment, 118,*323-343. [URL] - Sadeghi, S. A., Awalgaonkar, N. M., Karava, P., & Bilionis, I. (2017). A Bayesian modeling approach of human interactions with shading and electric lighting systems in private offices.
*Energy and Buildings*,*134*, 185–201. [URL]

## 2016

- Pandita, P., Bilionis, I., & Panchal, J. (2016). Extending expected improvement for high-dimensional stochastic optimization of expensive black-box functions.
*Journal of Mechanical Design*,*138*(11), 111412. [URL] - Tripathy, R., Bilionis, I., & Gonzalez, M. (2016). Gaussian processes with built-in dimensionality reduction: Applications to high-dimensional uncertainty propagation.
*Journal of Computational Physics*,*321*, 191–223. [URL] - Tsilifis, P., Bilionis, I., Katsounaros, I., & Zabaras, N. (2016). Computationally efficient variational approximations for Bayesian inverse problems.
*Journal of Verification, Validation and Uncertainty Quantification*,*1*(3), 031004. [URL]

## 2015

- Bilionis, I., Drewniak, B. A., & Constantinescu, E. M. (2015). Crop physiology calibration in the CLM.
*Geoscientific Model Development, 8*(4), 1071-1083. doi: 10.5194/gmd-8-1071-2015 [URL] [PDF] [BibTex] [Code] - Chen, P., Zabaras, N., & Bilionis, I. (2015). Uncertainty propagation using infinite mixture of Gaussian processes and variational Bayesian inference.
*Journal of Computational Physics, 284*, 291-333. [URL] [PDF] [BibTex]

## 2014

- Bilionis, I., & Zabaras, N. (2014). Solution of inverse problems with limited forward solver evaluations: a Bayesian perspective.
*Inverse Problems, 30*(1). [URL] [PDF] [BibTex] [Code] - Bilionis, I., Constantinescu, E. M., & Anitescu, M. (2014). Data-driven model for solar irradiation based on satellite observations.
*Solar Energy, 110*, 22-38. [URL] [PDF] [BibTex] [Code] [Supplementary Data]

## 2013

- Kristensen, J., Bilionis, I., & Zabaras, N. (2013). Relative entropy as model selection tool in cluster expansions.
*Physical Review B, 87*(17). [URL] [PDF] [BibTex]

## 2012

- Bilionis, I., & Zabaras, N. (2012). Multidimensional adaptive relevance vector machines for uncertainty quantification.
*Siam Journal on Scientific Computing, 34*(6). [URL] [PDF] [BibTex]

## 2011

## Book Chapters

- Kristensen, J., Bilionis, I., & Zabaras, N. (2017). Adaptive simulation selection for the discovery of the ground state line of binary alloys with a limited computational budget. In
*Recent Progress and Modern Challenges in Applied Mathematics, Modeling and Computational Science*(pp. 185-211). Springer, New York, NY. [URL] - Bilionis, I., & Zabaras, N. (2016). Bayesian uncertainty propagation using Gaussian processes. In
*Handbook of Uncertainty Quantification*(pp. 1–45). Cham: Springer International Publishing. [URL]

## Conferences

## 2016

- Lee, S., Bilionis, I., Karava, P., & Tzempelikos, A. (2016). A Bayesian approach for learning and predicting personal thermal preference. Presented at the 4th International High Performance Buildings Conference, West Lafayette, IN.
- Pandita, P., Bilionis, I., & Panchal, J. (n.d.).
*Extending expected improvement for high-dimensional stochastic optimization of expensive black-box functions*. Presented at the International Design Engineering Technical Conference, Charlotte, NC. - Quantifying recovery for structures incorporating control. (2016). Quantifying recovery for structures incorporating control. Presented at the International Conference on Smart Infrastructure Construction, Cambridge, UK.
- Sadeghi, S. A., Awalgaonkar, N. M., & Karava, P. (2016). A Bayesian approach for modeling occupants' use of window shades. Presented at the 4th International High Performance Buildings Conference, West Lafayette, IN.

## 2015

- Gonzalez, M., et al. (2015). Uncertainty quantification in multi-dimensional granular crystals for robust performance. ASM Applied Mechanics and Materials Conference, Seattle, WA, USA.
- Bilionis, I., et al. (2015). High-dimensional uncertainty propagation: A Bayesian approach using Gaussian processes with build-in dimensionality reduction. ASME Verification and Validation Symposium, Las Vegas, NV, USA.
- Bilionis, I., T., P., & Zabaras, N. (2015, March 14-18).
*Variational Reformulation of Bayesian Inverse Problems (Poster).*Paper presented at the SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, USA.

- Chen, P., Zabaras, N., & Bilionis, I. (2015, March 14-18).
*Uncertainty Propagation using Infinite Mixtures of Gaussian Processes.*Paper presented at the SIAM Conference on Scientific Computing and Engineering, Salt Lake City, UT, USA. - Bilionis, I., Constantinescu, E. M., & Anitescu, M. (2015, March 14-18).
*Data-driven model for solar irradiation based on satellite observations.*Paper presented at the SIAM Conference on Computational Science and Engineering, Salt Lake City, UT. - Bilionis, I., & Zabaras, N. (2015, March 14-18).
*Detecting discontinuities and localized features using Gaussian processes.*Paper presented at the SIAM Conference on Scientific Computing and Engineering, Salt Lake City, UT. - Bilionis, I., & Zabaras, N. (2015, March 14-18).
*Gaussian processes in high-dimensions.*Paper presented at the SIAM Conference on Scientific Computing and Engineering, Salt Lake City, UT.

## 2014

- Bilionis, I., & Zabaras, N. (2014, March 31-April 3).
*Solution of inverse problems with limited forward solver evaluations: A Bayesian framework.*Paper presented at the SIAM Conference on Uncertainty Quantification, Savannah, GA, USA. - Bilionis, I., Drewniak, B. A., & Constantinescu, E. M. (2014, December 15-19).
*Soybean physiology calibration in the community land model.*Paper presented at the AGU Fall Meeting, San Francisco, CA, USA.

## 2013

- Kristensen, J., Bilionis, I., & Zabaras, N. (2013, July 22-25).
*Relative entropy based surrogate energy models for modeling phase transitions.*Paper presented at the 12th U.S. National Congress on Computational Mechanics, Raleigh, NC, USA. - Bilionis, I., & Zabaras, N. (2013, July 22-25, 2013).
*Solution of inverse problems with limited forward solver evaluations: A Bayesian framework.*Paper presented at the 12th U.S. National Congress on Computational Mechanics, Raleigh, NC, USA. - Bilionis, I., & Zabaras, N. (2013, July 22-25).
*Multidimensional adaptive relevance vector machines for uncertainty quantification.*Paper presented at the 12th U.S. National Congress on Computational Mechanics, Raleigh, NC, USA. - Bilionis, I., & Zabaras, N. (2013, February 25-March 1).
*Solution of inverse problems with limited forward solver evaluations: A fully Bayesian framework.*Paper presented at the SIAM Conference on Computational Science and Engineering, Boston, MA, USA. - Bilionis, I., & Zabaras, N. (2013, February 25-March 1).
*Building surrogates of very expensive computer codes: Applications to uncertainty quantification.*Paper presented at the SIAM Conference on Computational Science and Engineering, Boston, MA, USA.

## 2012

- Bilionis, I., & Zabaras, N. (2012, April 2-5).
*Uncertainty quantification with high dimensional, experimentally measured inputs.*Paper presented at the SIAM Conference on Uncertainty Quantification, Raleigh, NC, USA. - Bilionis, I., & Zabaras, N. (2012, April 2-5).
*Hierarchical multi-output Gaussian process regression for uncertainty quantification with arbitrary input probability distributions.*Paper presented at the SIAM Conference on Uncertainty Quantification, Raleigh, NC, USA. - Bilionis, I., & Zabaras, N. (2012, April 2-5).
*Sparse Bayesian techniques for surrogate creation and uncertainty quantification.*Paper presented at the SIAM Conference on Uncertainty Quantification, Raleigh, NC, USA.

## 2011

- Bilionis, I., & Zabaras, N. (2011, July 25-29).
*Sparse Bayesian kernel techniques for the solution of stochastic partial differential equations.*Paper presented at the 11th U.S. National Congress on Computational Mechanics, Minneapolis, MN, USA. - Bilionis, I., & Zabaras, N. (2011, August 1-5).
*Multi-output local Gaussian process regression: Applications to uncertainty quantification.*Paper presented at the USA/Brazil Symposium on Stochastic Modeling and Uncertainty Quantification, Rio de Janeiro, Brazil. - Bilionis, I., Ma, X., & Zabaras, N. (2011, February 28-March 2).
*Kernel PCA for stochastic input generation of multiscale systems.*Paper presented at the SIAM Computational Science and Engineering Meeting, Reno, NV, USA.

## 2010

- Bilionis, I., & Koutsourelakis, P. S. (2010, May 16-21 2010).
*Coarse-graining in crystalline materials through adaptive free-energy calculations.*Paper presented at the IV European Conference on Computational Mechanics, Paris, France. - Bilionis, I., & Koutsourelakis, P. S. (2010, May 23-26).
*Adaptive free energy calculations for crystalline materials.*Paper presented at the SIAM Conference on Mathematical Aspects of Materials Science, Philadelphia, PA, USA.