Christodoulos A. Floudas
Affiliations: | Chemical and Biological Engineering | Princeton University, Princeton, NJ |
Website:
http://www.princeton.edu/cbe/people/faculty/floudas/Google:
"Christodoulos A. Floudas"Bio:
http://titan.princeton.edu/people/floudas-cv/
http://www.genealogy.math.ndsu.nodak.edu/id.php?id=81417
Mean distance: 13.04 | S | N | B | C | P |
Parents
Sign in to add mentorIgnacio E. Grossmann | grad student | 1986 | Carnegie Mellon | |
(Synthesis and Analysis of Flexible Energy Recovery Systems) |
Children
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Publications
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Baratsas SG, Niziolek AM, Onel O, et al. (2021) A framework to predict the price of energy for the end-users with applications to monetary and energy policies. Nature Communications. 12: 18 |
Beykal B, Boukouvala F, Floudas CA, et al. (2018) Optimal Design of Energy Systems Using Constrained Grey-Box Multi-Objective Optimization. Computers & Chemical Engineering. 116: 488-502 |
Onel M, Kieslich CA, Guzman YA, et al. (2018) Big Data Approach to Batch Process Monitoring: Simultaneous Fault Detection and Diagnosis Using Nonlinear Support Vector Machine-based Feature Selection. Computers & Chemical Engineering. 115: 46-63 |
Keasar C, McGuffin LJ, Wallner B, et al. (2018) An analysis and evaluation of the WeFold collaborative for protein structure prediction and its pipelines in CASP11 and CASP12. Scientific Reports. 8: 9939 |
Khoury GA, Smadbeck J, Kieslich CA, et al. (2017) Princeton_TIGRESS 2.0: High refinement consistency and net gains through support vector machines and molecular dynamics in double-blind predictions during the CASP11 experiment. Proteins |
Croker DE, Monk PN, Halai R, et al. (2016) Discovery of functionally selective C5aR2 ligands: novel modulators of C5a signaling. Immunology and Cell Biology |
Kieslich CA, Smadbeck J, Khoury GA, et al. (2016) conSSert: Consensus SVM model for accurate prediction of ordered secondary structure. Journal of Chemical Information and Modeling |
Kieslich CA, Tamamis P, Guzman YA, et al. (2016) Highly Accurate Structure-Based Prediction of HIV-1 Coreceptor Usage Suggests Intermolecular Interactions Driving Tropism. Plos One. 11: e0148974 |
Zhang H, Huang Q, Bei Z, et al. (2016) COMSAT: Residue contact prediction of transmembrane proteins based on support vector machines and mixed integer linear programming. Proteins |
Guzman YA, Matthews LR, Floudas CA. (2016) New a priori and a posteriori probabilistic bounds for robust counterpart optimization: I. Unknown probability distributions Computers and Chemical Engineering. 84: 568-598 |