Optimization of CO2 capture process with aqueous amines using response surface methodology. - Aroonsri Nuchitprasittichai; Selen Cremaschi (Comput. Chem. Eng., 2011)

Process synthesis of biodiesel production plant using artificial neural networks as the surrogate models. - Ismail Fahmi; Selen Cremaschi (Comput. Chem. Eng., 2012)

Adaptive sequential sampling for surrogate model generation with artificial neural networks. - John Eason; Selen Cremaschi (Comput. Chem. Eng., 2014)

A new representation for modeling biomass to commodity chemicals development for chemical process industry. - Ismail Fahmi; Aroonsri Nuchitprasittichai; Selen Cremaschi (Comput. Chem. Eng., 2014)

Heuristic solution approaches to the pharmaceutical R&D pipeline management problem. - Brianna Christian; Selen Cremaschi (Comput. Chem. Eng., 2015)

A perspective on process synthesis: Challenges and prospects. - Selen Cremaschi (Comput. Chem. Eng., 2015)

Data clustering for model-prediction discrepancy reduction - A case study of solids transport in oil/gas pipelines. - Selen Cremaschi; Jisup Shin; Hariprasad J. Subramani (Comput. Chem. Eng., 2015)

Estimation of percentiles using the Kriging method for uncertainty propagation. - Frits Byron Soepyan; Selen Cremaschi; Cem Sarica; Hariprasad J. Subramani; Gene E. Kouba; Haijing Gao (Comput. Chem. Eng., 2016)

Variants to a knapsack decomposition heuristic for solving R&D pipeline management problems. - Brianna Christian; Selen Cremaschi (Comput. Chem. Eng., 2017)

A bi-objective optimization approach to reducing uncertainty in pipeline erosion predictions. - Wei Dai; Selen Cremaschi; Hariprasad J. Subramani; Haijing Gao (Comput. Chem. Eng., 2019)

Derivative-free optimization of combinatorial problems - A case study in colorectal cancer screening. - David Young; Wyatt Haney; Selen Cremaschi (Comput. Chem. Eng., 2021)

A hybrid modeling framework using dimensional analysis for erosion predictions. - Wei Dai; Samira Mohammadi; Selen Cremaschi (Comput. Chem. Eng., 2022)

A hybrid modeling approach to estimate liquid entrainment fraction and its uncertainty. - Yushi Deng; Carlos Avila; Haijing Gao; Ivan Mantilla; Mario R. Eden; Selen Cremaschi (Comput. Chem. Eng., 2022)

Efficiency of uncertainty propagation methods for moment estimation of uncertain model outputs. - Samira Mohammadi; Selen Cremaschi (Comput. Chem. Eng., 2022)

A graph theoretic approach to non-anticipativity constraint generation in multistage stochastic programs with incomplete scenario sets. - Zuo Zeng; Alexander Vinel; Brianna Christian; Yasuhiro Shoji; Selen Cremaschi (Comput. Oper. Res., 2022)

A new approach to building surrogate models of high-fidelity stochastic simulations: PARIN (PARameter as Input-variable). - Samira Mohammadi; Selen Cremaschi (Comput. Chem. Eng., 2023)

An integrated framework for sustainable process design by hybrid and intensified equipment. - Shuang Xu; Selen Cremaschi; Mario R. Eden; Anjan Kumar Tula (Comput. Chem. Eng., 2023)

A Gaussian process embedded feature selection method based on automatic relevance determination. - Yushi Deng; Mario R. Eden; Selen Cremaschi (Comput. Chem. Eng., 2024)

Integrating reaction pathways and downstream separation network for optimal sustainable process route selection. - Shuang Xu; Selen Cremaschi; Mario R. Eden; Anjan Kumar Tula (Comput. Chem. Eng., 2024)