Ezequiel Pecker-Marcosig

Investigador Formado

Simulación de Sistemas Ciber-Físicos / Simulation of Cyber-Pysical Systems

emarcosig@dc.uba.ar

Google Scholar

Bio

I am currently a researcher at the Research Institute on Computer Science (ICC, UBA/CONICET) in Buenos Aires and was appointed Assistant Researcher at CONICET in 2022. I received my Ph.D. in Engineering from the University of Buenos Aires in 2021, where I focused on developing modeling and simulation (M&S) methodologies for the design of hybrid controllers in cyber-physical systems (CPS), with application in autonomous and networked vehicles.

My postodoctoral research extends my previous work, focusing on the development of hybrid simulation tools for controlling autonomous vehicles and, more recently, for coordinating teams of multiple vehicles in complex or large-scale tasks. I have applied these methodologies in the design and validation of hybrid controllers of single autonomous vehicles, as well as distributed, collaborative controllers for networked multi-robot systems. Moreover, I have also been exploring novel design methodologies that integrate simulation models into the execution stage of control systems. This includes: (a) symbiotic simulation, where faster-than-real-time simulations help evaluate possible actions taking into account the future evolution of the system, and (b) model continuity, where the same models developed during the design stage are used to conduct real-time embedded simulation of the control model for robotics and IoT applications. Additionally, I have been exploring the integration of simulation with interactive and realistic visualizations, particularly in the context of Mixed Reality (MR) and Digital Twins (DT).

In parallel, I have actively taught undergraduate and graduate-level courses since 2014 at the School of Engineering (UBA), including Modern Automatic Control, Control Automation Laboratory , Industrial Automation , and Stochastic Processes.

Publicaciones

25 entries « ‹ 1 of 3 › »

Lanzarotti, Esteban; Matković, Krešimir; Pecker-Marcosig, Ezequiel; Gröller, Eduard; Castro, Rodrigo

VisEPS: a visual explorer of parameter spaces for networked models Journal Article

In: Journal of Visualization, vol. 29, no. 1, pp. 153–167, 2026, ISSN: 1875-8975.

Abstract | Links | BibTeX

@article{lanzarotti_viseps_2026,

title = {VisEPS: a visual explorer of parameter spaces for networked models},

author = {Esteban Lanzarotti and Krešimir Matković and Ezequiel Pecker-Marcosig and Eduard Gröller and Rodrigo Castro},

url = {https://doi.org/10.1007/s12650-025-01093-2},

doi = {10.1007/s12650-025-01093-2},

issn = {1875-8975},

year  = {2026},

date = {2026-01-01},

journal = {Journal of Visualization},

volume = {29},

number = {1},

pages = {153–167},

abstract = {Simulations of complex social systems, such as those represented by epidemiological models, have been very useful in supporting decision makers during the last pandemic. These models generally comprise a high number of parameters, which makes it hard to identify the values that best reproduce the empirical data. Furthermore, different combinations of parameters may achieve a good fit, which renders an automatic solution ill-suited to the task. A human expert is required to make the final decisions about the optimal parameter values. We present VisEPS (Visual Explorer of Parameter Spaces), a framework for visually analyzing the effects of a very large set of parameters, with the aim of fitting a geographically explicit networked model to data obtained during the COVID-19 pandemic. We use a networked extension of a susceptible-infected-recovered (SIR) model to reproduce the epidemic dynamics in the city of Buenos Aires and its neighboring interconnected districts. We overlay binned scatterplots on a map, which facilitates the visual identification of each district and its connections. To further explore the model’s performance against data, additional views, such as parallel coordinates and histograms, along with drill-down mechanisms, have been incorporated. Finally, a use case is described in which the level of connectivity between districts is included in the analysis. The identification of suitable parameter ranges is facilitated by an iterative and incremental process, whereby new sets of simulations are incrementally requested, guided by interactive visual inspections. This permits the exploration of a parameter space that would otherwise be impossible to fully explore.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Pecker-Marcosig, Ezequiel; Bocaccio, Sebastian; Castro, Rodrigo

Bridging Simulation Formalisms and Embedded Targets: A PowerDEVS-Driven IoT/Robotics Workflow for ESP32 Proceedings Article

In: Proceedings of the 2025 Winter Simulation Conference (WSC), pp. 2764–2775, Seattle, WA, USA, 2025.

Abstract | Links | BibTeX

Pecker-Marcosig, Ezequiel; Presenza, J. Francisco; Mas, Ignacio A; Alvarez-Hamelin, J. Ignacio; Giribet, Juan I.; Castro, Rodrigo D.

Simulation of Decentralized Coordination Strategies for Networked Multi-Robot Systems with Emergent Behavior-DEVS Proceedings Article

In: Proceedings of the 2025 Winter Simulation Conference (WSC), pp. 2740–2751, Seattle, WA, USA, 2025.

Abstract | Links | BibTeX

Pecker-Marcosig, Ezequiel; Giribet, Juan I.; Castro, Rodrigo

Hybrid resource allocation control in cyber-physical systems: a novel simulation-driven methodology with applications to UAVs Journal Article

In: SIMULATION, vol. 101, no. 5, pp. 597–619, 2025.

Abstract | Links | BibTeX

@article{pecker2025hybrid,

title = {Hybrid resource allocation control in cyber-physical systems: a novel simulation-driven methodology with applications to UAVs},

author = {Ezequiel Pecker-Marcosig and Juan I. Giribet and Rodrigo Castro},

url = {https://doi.org/10.1177/00375497241313404},

doi = {10.1177/00375497241313404},

year  = {2025},

date = {2025-01-01},

journal = {SIMULATION},

volume = {101},

number = {5},

pages = {597–619},

abstract = {Designing hybrid controllers for cyber-physical systems (CPSs) where computational and physical components influence each other is a challenging task, as it requires considering the performance of very different types of dynamics simultaneously. Meanwhile, controlling each of these dynamics separately can lead to unacceptable results. Common approaches to controller design rely on the use of analytical methods. Although this approach can provide formal guarantees of stability and performance, the analytical design of hybrid controllers can become quite cumbersome. Alternatively, modeling and simulation (M&S)-based design techniques have proven successful for hybrid controllers, providing robust results based on Monte Carlo techniques. This requires simulation models and platforms capable of seamlessly composing the underlying hybrid domains. Unmanned Aerial Vehicles (UAVs) are CPSs with sensitive physical–computational couplings. We address the development of a hybrid model and simulation platform for a data collection application involving UAVs with onboard data processing. The quality of control (QoC) of the physical dynamics must be ensured together with the quality of service (QoS) of the onboard software competing for scarce processing resources. In this scenario, it is imperative to find safe trade-offs between flight stability and processing throughput that can adapt to uncertain environments. The goal is to design a hybrid supervisory controller that dynamically adapts the use of resources to balance the performance of both aspects in a CPS, while ensuring system-level QoS. We present the end-to-end M&S-based design methodology, which can be regarded as a design template for a broader class of CPSs.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

Pose, Claudio; Pecker-Marcosig, Ezequiel

Plantas experimentales para diseño de controladores SISO con fines educativos Proceedings Article

In: Proceedings of the XII Jornadas Argentinas de Robótica (JAR2024), Buenos Aires, Argentina, 2024.

BibTeX

Pose, Claudio; Pecker-Marcosig, Ezequiel

Towards a Hands-On Lab: SISO Plants for Introductory Courses in Automatic Control Proceedings Article

In: Proceedings of the 2024 IEEE Biennial Congress of Argentina (ARGENCON), San Nicolás, Buenos Aires, Argentina, 2024.

Links | BibTeX

Astigarraga, Mikel Eukeni Pozo; Bonaventura, Matias; Maple, James; Pecker-Marcosig, Ezequiel; Levrini, Giacomo; Castro, Rodrigo

Benchmarking Data Acquisition event building network performance for the ATLAS HL-LHC upgrade Proceedings Article

In: EPJ Web of Conferences, pp. 02005, EDP Sciences, 2024.

Links | BibTeX

Castro, Rodrigo; Bergonzi, Mariana; Pecker-Marcosig, Ezequiel; Fernández, Joaquín; Kofman, Ernesto

Discrete-event simulation of continuous-time systems: evolution and state of the art of quantized state system methods Journal Article

In: SIMULATION, vol. 100, no. 6, pp. 613–638, 2024, ISSN: 0037-5497, 1741-3133.

Abstract | Links | BibTeX

Pecker-Marcosig, Ezequiel; Romczyk, Geronimo; Bonaventura, Matias; Castro, Rodrigo

Systematic Performance Optimization for the PowerDEVS Simulator and Models of Large-Scale Real-World Applications Proceedings Article

In: Proceedings of the 2024 Winter Simulation Conference (WSC2024), 2024.

Links | BibTeX

10.

Confalonieri, Gisela; Pecker-Marcosig, Ezequiel; Lanzarotti, Esteban; Castro, Rodrigo

SIMULATION-BASED IMMERSIVE ANALYTICS TOWARD ADVANCED DECISION MAKING Proceedings Article

In: San Antonio, TX, 2023.

Links | BibTeX

25 entries « ‹ 1 of 3 › »

Departamento de Computación, Facultad de Ciencias Exactas y Naturales,

Universidad de Buenos Aires (DC-FCEyN-UBA)

Instituto de Ciencias de la Computación (ICC-CONICET/UBA)