Cesar Arturo ACEVES LARA
Cesar Arturo ACEVES LARA
Maitre de Conférences, Hors Classe
- +33(0)5 61 55 97 74
- aceves@insa-toulouse.fr
- Orcid
- Research Gate
Actual position and research subject
Cesar ACEVES is Associate Professor (INSA Toulouse). He works in research fields of modeling, online optimization and Digital Twins for biological process. He is authors and co-authors of 33 publications and 6 book chapter (Number of citations: 876 ; H-index : 14) . He is graduated MSc degree from Guadalajara University (2002) on kinetic parameters estimation in an anaerobic digestion process using successive quadratic programming. He realized his PhD from University of Montpellier II (2007) on Modeling, estimation and control of anaerobic digestion processes for optimal hydrogen production.
Education and Diploma
HDR « Un chemin de la modelisation a la commande dans les bioprocedes », Université Paul Sabatier
Doctorat au Laboratoire de Biotechnologie de l’Environnement de Narbonne (LBE-INRA), Université de Montpellier II.
Master en Sciences obtenu à l’Université de Guadalajara
Teaching
My teaching activities cover process control, chemical kinetics, unit operations for chemical engineering, bioprocess modelling.
Others
- Supervised or co-supervised: 7 PhD students, 5 post-doct, 12 MSc
- Stays as a visiting scientist: Université Autonome de Guadalajara, Université Nationale de la Colombie, Campus Medellin et Manizales, Centre de Biotechnologie de Sfax, Université Catolique de Lima.
- Contribution to research projects: BioIndustry 4.0 https://www.bioindustry4.eu/
- Other: Associate director of the International joint laboratory https://www.ird.fr/lmi-biotec-h2-production-de-biohydrogene-par-des-procedes-biotechnologiques
List of selected publications
[A.1] Segura Monroy T, Abdelmalek N, Rouis S, Kallassy M, Saad J, Abboud J, Cescut J, Bensaid N, Fillaudeau L, Aceves-Lara C.A. Dynamic model for biomass and proteins production by three Bacillus thuringiensis ssp kurstaki strains. Processes (2021) 9(12). Pp. 2147 https://doi.org/10.3390/pr9122147
[A.2] Acosta-Pavas J.C., Morchain J., Dumas C., Ngu V., Cockx A., Aceves-Lara C.A.. Towards Anaerobic Digestion (ADM No.1). Model’s Extensions and Reductions withIn-situ Gas Injection for Biomethane Production. IFAC PapersOnLine 55-20 (2022) 635–640. DOI.10.1016/j.ifacol.2022.09.167.
[A.3] Acosta-Pavas J.C., Robles-Rodríguez C.E., Suarez Méndez C.A., Morchain J., Dumas C., Cockx A., Aceves-Lara C.A., 2022, Dynamic Multi-objective Optimization Applied to Biomethanation Process, Chemical Engineering Transactions, 96, 319-324, https://doi.org/10.3303/CET2296054
[A.4] Barssoum R, Al Kassis G, Nasseredine R, Saad J, El Ghoul M, Abboud J, Fayad N, Dupoiron S, Cescut J, Aceves-Lara C.A, Fillaudeau L, Kallassy Awad M, Biochemical limitations of Bacillus thuringiensis based biopesticides production in a wheat bran culture medium, Research in Microbiology, 2023, 104043, ISSN 0923-2508, https://doi.org/10.1016/j.resmic.2023.104043.
[A.5] Beaudeau, F., Aceves Lara, C.A., Godilllot, J. Mouret J.R., Trelea I.C., Bideaux C. Modelling the effects of assimilable nitrogen addition on fermentation in oenological conditions. Bioprocess Biosyst Eng 46, 941–955 (2023). https://doi.org/10.1007/s00449-023-02861-w
[A.6] Alonso Villela, S.M., Kraïem-Ghezal, H., Bouhaouala-Zahar, B., Bideaux C., Aceves-Lara, C.A., Fillaudeau, L. Production of recombinant scorpion antivenoms in E. coli: current state and perspectives. Appl Microbiol Biotechnol 107, 4133–4152 (2023). https://doi.org/10.1007/s00253-023-12578-1
[A.7] Acosta-Pavas J.C., Robles-Rodríguez C.E., Morchain J., Dumas C., Cockx A., Aceves-Lara C.A., Dynamic modeling of biological methanation for different reactor configurations: An extension of the anaerobic digestion model No. 1, Fuel, Volume 344, (2023), 128106, ISSN 0016-2361, https://doi.org/10.1016/j.fuel.2023.128106.
[A.8] Fayad N., Barssoum R., Marsaud N., Nasseredine R., Abdelmalek N., Rouis S., Teste M., Pailler V., Gautier V., Belmonte E., Aceves Lara C.A., Cescut J., Fillaudeau L., and Kallassy Awad M. Complete genome sequences of two Bacillus thuringiensis serovar kurstaki strains isolated from Lebanon and Tunisia, highly toxic against lepidopteran larvae. Microbiology Resource Announcements. (2023) Volume 12 (9), https://doi.org/10.1128/MRA.00060-23
[A.9] Acosta-Pavas, J. C., Robles-Rodríguez, C. E., Morchain, J., Corrales, C., Dumas, C., Cockx, A., & Aceves-Lara, C. A. (2023). Switching Multi-Objective Dynamic Optimization (MODO) for the Production of Value-Added Products. Computer Aided Chemical Engineering. Volume 52, (2023), Pages 583-588. https://doi.org/10.1016/B978-0-443-15274-0.50092-5
[A.10] Barssoum, R., Nasseredinne, R., Karim, M. C., Cescut, J., Kallassy, M., Aceves-Lara, C., & Fillaudeau, L. (2023). Physical limitations induced by a medium based on wheat bran for the production of biopesticides by bacillus thuringiensis spp kurstaki. Les Ulis: EDP Sciences. Volume 379 doi: https://doi.org/10.1016/j.resmic.2023.104043
[A.11] Beaudeau, F., Aceves Lara, C.A., Bideaux C. Dynamic modelling of the effects of assimilable nitrogen addition on aroma synthesis during wine fermentation (2023). Chemical Engineering Transactions VOL. 102, Pp 301-306. DOI: 10.3303/CET23102051
[A.12] Blaiech K., Acosta-Pavas J.C., Ben Gaida L., Gannoun H., Liebgott P.P., Aceves-Lara C.A. (2023). Multi-Objective Optimization of Thermophilic Biohydrogen Production. Chemical Engineering Transactions Vol 105, Pp 31-36, https://doi.org/10.3303/CET23105006
[A.13] Acosta Pavas J.C., Robles-Rodríguez C.E., Morchain J., Corrales D.C., Dumas C., Cockx A, Aceves-Lara C.A., (2023), Economic Multi-Objective Dynamic Optimization (EMODO) as a Decision-Making tool in Biomethanation Process, Chemical Engineering. Transactions, Vol 105, Pp. 193-198. DOI:10.3303/CET23105033
[A.15] Corrales C. D, Alonso Villela S.M., Bouhaouala-Zahar B., Cescut J., Daboussi F., O’donohue M., Fillaudeau L, Aceves-Lara C.A., (2024), Dynamic Hybrid Model for Nanobody-based Antivenom Production (scorpion antivenon) with E. coli CH10-12 and E. coli NbF12-10, Computer Aided Chemical Engineering, Volume 53, 145-150, https://doi.org/10.1016/B978-0-443-28824-1.50025-9.
[A.16] Acosta Pavas J.C., Robles-Rodríguez C.E., Griol D., Daboussi F., Aceves-Lara C.A., Corrales C. D. (2024), Soft sensors based on interpretable learners for industrial-scale fed-batch fermentation: Learning from simulations, Computers & Chemical Engineering, Vol. 187, 108736, ISSN 0098-1354, https://doi.org/10.1016/j.compchemeng.2024.108736.
[A.17] Metcalfe B., Acosta-Pavas J.C., Robles-Rodriguez C.E., Georgakilas G.K., Dalamagas T., Aceves-Lara C.A., Daboussi F., Koehorst J.J., Corrales D.C. (Accepted in 2024), Towards a machine learning operations (MLOps) soft sensor for real-time predictions in industrial-scale fed-batch fermentation, Computers & Chemical Engineering, 108991, ISSN 0098-1354, https://doi.org/10.1016/j.compchemeng.2024.108991.