Personal information

Other IDs

Scopus Author ID: 8906171500

Keywords

P-graph methodology, sustainability, stochastic analysis and modeling

Countries

Puerto Rico

Activities

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Employment (1)

Environmental Protection Agency: Cincinnati, Ohio, US

2017-01-10 to 2020-01-10 | NRC Research Fellow (Office of Research and Development - Center for Environmental Measurement & Modeling (CEMM))
Employment
Source: Self-asserted source
Andres Argoti

Education and qualifications (1)

Kansas State University: Manhattan, Kansas, US

2003-09-15 to 2007-05-11 | Doctor of Philosophy (Department of Chemical Engineering)
Education
Source: Self-asserted source
Andres Argoti

Professional activities (1)

American Institute of Chemical Engineers: New York, New York, US

2002-06-01 to present
Membership
Source: Self-asserted source
Andres Argoti

Works (22)

A comprehensive, semi-automated systematic literature review (SLR) design: Application to P-graph research with a focus on sustainability

Journal of Cleaner Production
2023-08 | Journal article
DOI: 10.1016/j.jclepro.2023.137741
Contributors: Árpád Tóth; Alex Suta; Jean Pimentel; Andres Argoti
Source: check_circle
Crossref

Challenges and opportunities in assessing sustainability during chemical process design

Current Opinion in Chemical Engineering
2019 | Journal article
DOI: 10.1016/j.coche.2019.09.003
EID:

2-s2.0-85074237572
Contributors: Argoti, A.; Orjuela, A.; Narváez, P.C.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

A computer cluster for big data and data analytics management: Design, implementation, and assessment

ACM International Conference Proceeding Series
2018 | Conference paper
DOI: 10.1145/3293614.3293626
EID:

2-s2.0-85064521733
Contributors: García-Ojeda, J.C.; Ortíz, M.L.; García, R.S.; Cáceres, J.H.; Argoti, A.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Design and engineering of sustainable process systems and supply chains by the P-graph framework

Environmental Progress and Sustainable Energy
2018 | Journal article
DOI: 10.1002/ep.12887
EID:

2-s2.0-85043500469
Contributors: Cabezas, H.; Argoti, A.; Friedler, F.; Mizsey, P.; Pimentel, J.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

A generalized model for bacterial disinfection: Stochastic approach

Biochemical Engineering Journal
2016 | Journal article
DOI: 10.1016/j.bej.2016.06.024
EID:

2-s2.0-84978689274
Contributors: Argoti, A.; Maghirang, R.G.; González Barrios, A.F.; Chou, S.-T.; Fan, L.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

A preliminary study of the application of the P- graph methodology for organization-based multiagent system designs: Assessment

Acta Polytechnica Hungarica
2015 | Journal article
EID:

2-s2.0-84924664725
Contributors: García-Ojeda, J.C.; Bertok, B.; Friedler, F.; Argoti, A.; Fan, L.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Process network synthesis for benzaldehyde production: P-graph approach

Chemical Engineering Transactions
2015 | Journal article
DOI: 10.3303/CET1545229
EID:

2-s2.0-84946140871
Contributors: Losada, J.P.; Heckl, I.; Bertok, B.; Friedler, F.; Garcia-Ojeda, J.C.; Argoti, A.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Identifying evacuation routes via the P-graph methodology

2015 10th Computing Colombian Conference (10CCC)
2015-09 | Other
DOI: 10.1109/columbiancc.2015.7333443
Contributors: Juan C. Garcia-Ojeda; Botond Bertok; Ferenc Friedler; Andres Argoti
Source: Self-asserted source
Andres Argoti via Crossref Metadata Search
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Preferred source (of 2)‎

Nonlinear stochastic model for bacterial disinfection: Analytical solution and Monte Carlo simulation

Industrial and Engineering Chemistry Research
2012 | Journal article
DOI: 10.1021/ie200890p
EID:

2-s2.0-84856537859
Contributors: Fan, L.T.; Argoti, A.; Maghirang, R.G.; Chou, S.-T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Stochastic modeling for the formation of activated carbons: Nonlinear approach

Industrial and Engineering Chemistry Research
2011 | Journal article
DOI: 10.1021/ie102247z
EID:

2-s2.0-79960864683
Contributors: Fan, L.T.; Argoti, A.; Chou, S.-T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Monte Carlo simulation of bacterial disinfection: nonlinear and time-explicit intensity of transition.

Biotechnology progress
2010 | Journal article
DOI: 10.1002/btpr.446
EID:

2-s2.0-79952201168
Contributors: Argoti, A.; Fan, L.T.; Chou, S.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Modeling of thermal oxidation of silicon: stochastic approach

Computer Aided Chemical Engineering
2009 | Book
DOI: 10.1016/S1570-7946(09)70132-4
EID:

2-s2.0-67649103917
Contributors: Fan, L.T.; Chiu, Y.Y.; Argoti, A.; Chou, S.T.; Shen, B.C.; Schlup, J.R.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Graph-theoretic approach for discovering alternative synthetic routes forming complex networks

AIChE Annual Meeting, Conference Proceedings
2008 | Conference paper
EID:

2-s2.0-79952288994
Contributors: Fan, L.T.; Zhang, T.; Argoti, A.; Liu, J.; Bertok, B.; Friedler, F.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Introducing stochastic simulation of chemical reactions using the gillespie algorithm and MATLAB: Revisited and augmented

Chemical Engineering Education
2008 | Journal article
EID:

2-s2.0-40749126794
Contributors: Argoti, A.; Fan, L.T.; Cruz, J.; Chou, S.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Non-linear modeling of the formation of activated carbons: Stochastic approach

AIChE Annual Meeting, Conference Proceedings
2008 | Conference paper
EID:

2-s2.0-79952294768
Contributors: Argoti, A.; Fan, L.T.; Walawender, W.P.; Chou, S.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

A simple Markovian model for the initial stage of the formation of carbon molecular sieves by carbon deposition

Journal of the Chinese Institute of Chemical Engineers
2006 | Journal article
EID:

2-s2.0-33751169772
Contributors: Chou, S.-T.; Argoti, A.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Monte carlo simulation of stochastic processes: Non-linearly decaying bacteria population in disinfection

XXII Interamerican Congress of Chemical Engineering, CIIQ 2006 and V Argentinian Congress of Chemical Engineering, CAIQ 2006 - Innovation and Management for Sustainable Development
2006 | Conference paper
EID:

2-s2.0-84992437575
Contributors: Argoti, A.; Fan, L.T.; Chou, S.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Non-linear modeling and simulation of the formation of carbon adsorbents: Markovian approach

XXII Interamerican Congress of Chemical Engineering, CIIQ 2006 and V Argentinian Congress of Chemical Engineering, CAIQ 2006 - Innovation and Management for Sustainable Development
2006 | Conference paper
EID:

2-s2.0-84992428550
Contributors: Argoti, A.; Fan, L.T.; Chou, S.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Modeling and simulation of the formation of carbon molecular sieves by carbon deposition: Non-linear stochastic approach

AIChE Annual Meeting, Conference Proceedings
2005 | Conference paper
EID:

2-s2.0-33645641008
Contributors: Argoti, A.; Fan, L.T.; Walawender, W.P.; Chou, S.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Monte Carlo simulation of dynamic behavior of bacteria during disinfection

AIChE Annual Meeting, Conference Proceedings
2005 | Conference paper
EID:

2-s2.0-33645634695
Contributors: Fan, L.T.; Argoti, A.; Chou, S.T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Stochastic modeling and simulation of the formation of carbon molecular sieves by carbon deposition

Industrial and Engineering Chemistry Research
2005 | Journal article
EID:

2-s2.0-15944415462
Contributors: Fan, L.T.; Argoti, A.; Walawender, W.P.; Chou, S.-T.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier

Stochastic modeling of thermal disinfection of bacteria according to the logistic law

AIChE Journal
2005 | Journal article
DOI: 10.1002/aic.10534
EID:

2-s2.0-26944473228
Contributors: Chou, S.-T.; Fan, L.T.; Argoti, A.; Vidal-Michel, R.; More, A.
Source: Self-asserted source
Andres Argoti via Scopus - Elsevier
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