cached image

Christodoulos A. Floudas

Chemical and Biological Engineering Princeton University, Princeton, NJ 
"Christodoulos A. Floudas"

Mean distance: 13.04


Sign in to add mentor
Ignacio E. Grossmann grad student 1986 Carnegie Mellon
 (Synthesis and Analysis of Flexible Energy Recovery Systems)


Sign in to add trainee
Claire Adjiman grad student Princeton
Amy Ciric grad student Princeton
Antonis Kokossis grad student Princeton
Xiaoxia Lin grad student Princeton (E-Tree)
Costas Maranas grad student Princeton
Clifford Meyer grad student Princeton
John L. Klepeis grad student 2002 Princeton
Zeynep H. Gumus grad student 2003 Princeton
Heather D. Schafroth grad student 2003 Princeton
Stacy L. Janak grad student 2007 Princeton
Ho K. Fung grad student 2008 Princeton
Chrysanthos E. Gounaris grad student 2008 Princeton
Rohit Rajgaria grad student 2009 Princeton
Meng P. Tan grad student 2009 Princeton
Peter A. DiMaggio grad student 2010 Princeton
Meghan B. Peterson grad student 2011 Princeton
Ashwin Subramani grad student 2011 Princeton
Peter M. Verderame grad student 2011 Princeton
Richard C. Baliban grad student 2012 Princeton
Ruth Misener grad student 2012 Princeton
Josephine A. Elia grad student 2013 Princeton
Eric L. First grad student 2014 Princeton
James Smadbeck grad student 2015 Princeton
Vassilios S. Vassiliadis post-doc 1993-1994 Princeton
Ioannis Androulakis post-doc 1993-1996 Princeton
Karl M Westerberg post-doc 1997-2002 Princeton
Stavros Caratzoulas post-doc 2001-2002 Princeton
Munawar A. Shaik post-doc 2005-2007 Princeton
Yanjie Wei post-doc 2008-2011 Princeton (Physics Tree)
Jie Li post-doc 2009-2011 Princeton
Zukui Li post-doc 2010-2012 Princeton
M.M. Faruque Hasan post-doc 2011-2014 Princeton
Phanourios Tamamis post-doc 2013-2014 Princeton
Fani Boukouvala post-doc 2016 Texas A & M
Chris A. Kieslich post-doc 2012-2016 Texas A & M (BME Tree)
BETA: Related publications


You can help our author matching system! If you notice any publications incorrectly attributed to this author, please sign in and mark matches as correct or incorrect.

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
See more...