Calle 48 y 116 piso 2 - CC 91
La Plata (1900), BA, Argentina
Tel: +54-221-425-9306
Email:martin.jamilis@ing.unlp.edu.ar
Formación Académica
- Ingeniero en Electrónica, Facultad de Ingeniería, UNLP
- Doctor en Ingeniería, Facultad de Ingeniería, UNLP
Posición actual
- Profesor Adjunto del Área Control Automático, Facultad de Ingeniería, UNLP
- Investigador asistente, CONICET, Argentina
Área de Investigación actual
Perfiles
2025
Amor, Fernando; Haberman, Marcelo A.; Jamilis, Martín; Guerrero, Federico N.; Battista, Hernán De
Design of a Novel Very-Low Input Capacitance High-Bandwidth Buffer for a Biomass Sensor Artículo de revista
En: IEEE Sensors J., vol. 25, no 1, pp. 655–662, 2025, ISSN: 1558-1748.
@article{Amor2025,
title = {Design of a Novel Very-Low Input Capacitance High-Bandwidth Buffer for a Biomass Sensor},
author = {Fernando Amor and Marcelo A. Haberman and Martín Jamilis and Federico N. Guerrero and Hernán De Battista},
doi = {10.1109/jsen.2024.3486534},
issn = {1558-1748},
year = {2025},
date = {2025-01-01},
journal = {IEEE Sensors J.},
volume = {25},
number = {1},
pages = {655--662},
publisher = {Institute of Electrical and Electronics Engineers (IEEE)},
keywords = {},
pubstate = {published},
tppubtype = {article}
}
0000
Castañeda, María Teresita; Nuñez, Sebastián; Jamilis, Martín; Battista, Hernán De
Computational assessment of lipid production in Rhodosporidium toruloides in two‐stage and one‐stage batch bioprocesses Artículo de revista
En: Biotech & Bioengineering, vol. 121, no 1, pp. 238–249, 0000, ISSN: 1097-0290.
@article{Castañeda2023,
title = {Computational assessment of lipid production in \textit{Rhodosporidium toruloides} in two‐stage and one‐stage batch bioprocesses},
author = {María Teresita Castañeda and Sebastián Nuñez and Martín Jamilis and Hernán De Battista},
doi = {10.1002/bit.28579},
issn = {1097-0290},
journal = {Biotech & Bioengineering},
volume = {121},
number = {1},
pages = {238--249},
publisher = {Wiley},
abstract = {Abstract Oleaginous yeasts are promising platforms for microbial lipids production as a renewable and sustainable alternative to vegetable oils in biodiesel production. In this paper, a thorough in silico assessment of lipid production in batch cultivation by Rhodosporidium toruloides was developed. By means of dynamic flux balance analysis, the traditional two‐stage bioprocess (TSB) performed by the native strain was contrasted with one‐stage bioprocess (OSB) using four designed strains obtained by gene knockout strategies. Lipid titer, yield, content, and productivity were analyzed at different initial C/N ratios as relevant performance indicators used in bioprocesses. By weighting these indicators, a global lipid efficiency metric (GLEM) was defined to consider different scenarios. Under simulated conditions, designed strains for lipid overproduction in OSB outperformed the TSB in terms of lipid title (up to threefold), lipid yield (up to 2.4‐fold), lipid content (up to 2.8‐fold, with a maximum of 76%), and productivity (up to 1.3‐fold), depending on C/N ratios. Using these efficiency parameters and the proposed GLEM, the process of selecting the most suitable candidates for lipid production could be carried out before experimental assays. This methodology holds the potential to be extended to other oleaginous microorganisms and diverse strain design techniques. },
keywords = {},
pubstate = {published},
tppubtype = {article}
}
Jamilis, Martín; Garelli, Fabricio; Battista, Hernán De; Volcke, Eveline I. P.
Combination of cascade and feed-forward constrained control for stable partial nitritation with biomass retention Artículo de revista
En: Journal of Process Control, vol. 95, pp. 55–66, 0000, ISSN: 0959-1524.
@article{Jamilis2020,
title = {Combination of cascade and feed-forward constrained control for stable partial nitritation with biomass retention},
author = {Martín Jamilis and Fabricio Garelli and Hernán De Battista and Eveline I.P. Volcke},
doi = {10.1016/j.jprocont.2020.09.002},
issn = {0959-1524},
journal = {Journal of Process Control},
volume = {95},
pages = {55--66},
publisher = {Elsevier BV},
keywords = {},
pubstate = {published},
tppubtype = {article}
}