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Selen Cremaschi
ORCID
Publication Activity (10 Years)
Years Active: 2011-2024
Publications (10 Years): 11
Top Topics
Multistage Stochastic
Modeling Framework
Colorectal Cancer
Heuristic Solution
Top Venues
Comput. Chem. Eng.
Comput. Oper. Res.
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Publications
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Shuang Xu
,
Selen Cremaschi
,
Mario R. Eden
,
Anjan Kumar Tula
Integrating reaction pathways and downstream separation network for optimal sustainable process route selection.
Comput. Chem. Eng.
181 (2024)
Shuang Xu
,
Selen Cremaschi
,
Mario R. Eden
,
Anjan Kumar Tula
An integrated framework for sustainable process design by hybrid and intensified equipment.
Comput. Chem. Eng.
176 (2023)
Samira Mohammadi
,
Selen Cremaschi
A new approach to building surrogate models of high-fidelity stochastic simulations: PARIN (PARameter as Input-variable).
Comput. Chem. Eng.
176 (2023)
Zuo Zeng
,
Alexander Vinel
,
Brianna Christian
,
Yasuhiro Shoji
,
Selen Cremaschi
A graph theoretic approach to non-anticipativity constraint generation in multistage stochastic programs with incomplete scenario sets.
Comput. Oper. Res.
146 (2022)
Wei Dai
,
Samira Mohammadi
,
Selen Cremaschi
A hybrid modeling framework using dimensional analysis for erosion predictions.
Comput. Chem. Eng.
156 (2022)
Samira Mohammadi
,
Selen Cremaschi
Efficiency of uncertainty propagation methods for moment estimation of uncertain model outputs.
Comput. Chem. Eng.
166 (2022)
Yushi Deng
,
Carlos Avila
,
Haijing Gao
,
Ivan Mantilla
,
Mario R. Eden
,
Selen Cremaschi
A hybrid modeling approach to estimate liquid entrainment fraction and its uncertainty.
Comput. Chem. Eng.
162 (2022)
David Young
,
Wyatt Haney
,
Selen Cremaschi
Derivative-free optimization of combinatorial problems - A case study in colorectal cancer screening.
Comput. Chem. Eng.
145 (2021)
Wei Dai
,
Selen Cremaschi
,
Hariprasad J. Subramani
,
Haijing Gao
A bi-objective optimization approach to reducing uncertainty in pipeline erosion predictions.
Comput. Chem. Eng.
127 (2019)
Brianna Christian
,
Selen Cremaschi
Variants to a knapsack decomposition heuristic for solving R&D pipeline management problems.
Comput. Chem. Eng.
96 (2017)
Frits Byron Soepyan
,
Selen Cremaschi
,
Cem Sarica
,
Hariprasad J. Subramani
,
Gene E. Kouba
,
Haijing Gao
Estimation of percentiles using the Kriging method for uncertainty propagation.
Comput. Chem. Eng.
93 (2016)
Selen Cremaschi
,
Jisup Shin
,
Hariprasad J. Subramani
Data clustering for model-prediction discrepancy reduction - A case study of solids transport in oil/gas pipelines.
Comput. Chem. Eng.
81 (2015)
Selen Cremaschi
A perspective on process synthesis: Challenges and prospects.
Comput. Chem. Eng.
81 (2015)
Brianna Christian
,
Selen Cremaschi
Heuristic solution approaches to the pharmaceutical R&D pipeline management problem.
Comput. Chem. Eng.
74 (2015)
Ismail Fahmi
,
Aroonsri Nuchitprasittichai
,
Selen Cremaschi
A new representation for modeling biomass to commodity chemicals development for chemical process industry.
Comput. Chem. Eng.
61 (2014)
John Eason
,
Selen Cremaschi
Adaptive sequential sampling for surrogate model generation with artificial neural networks.
Comput. Chem. Eng.
68 (2014)
Ismail Fahmi
,
Selen Cremaschi
Process synthesis of biodiesel production plant using artificial neural networks as the surrogate models.
Comput. Chem. Eng.
46 (2012)
Aroonsri Nuchitprasittichai
,
Selen Cremaschi
capture process with aqueous amines using response surface methodology.
Comput. Chem. Eng.
35 (8) (2011)