Welcome to IMAACA 2021!

Dear Sir/Madam,

innovations and improvements are required to react quickly to the new trends of the global economy. Over the years, Modeling & Simulation (M&S) has proved to be one of the most effective, beneficial and successful methodologies to investigate and study complex systems belonging to various sectors/areas. Nevertheless, to take full advantage of this technology there are relevant issues that keep challenging the researchers towards even more advanced solutions and approaches where emerging and cutting-edge technologies are absorbed into. M&S is widely and successfully applied in many application domains, ranging from industry to social sciences, from logistics to military, from energy to healthcare; in this sense M&S provides a multidisciplinary perspective where theory and data from different fields can be used to build models and simulations that provide insights in to the system considered.

The 2021 International Conference On Integrated Modeling And Analysis in Applied Control And Automation (IMAACA) will be a platform for knowledge exchange, the review and discussion of theoretical advances, research results, and industrial experiences, among scientists, researchers, decision makers, practitioners and students dealing with the topics under the umbrella of multidisciplinary modeling & simulation.

Therefore, we would like to kindly invite you to take an active part in this conference and in the co-located events that will be held at Krakow, Poland on September 15-17, 2021 and explore with us the latest news, views and developments in the exciting world of multidisciplinary modeling & simulation.


I3M 2021 Organization Committee

Topics & Tracks

Authors are kindly invited to include in their papers and presentations all the research works, case studies and application both theoretical and applied. Topics of interests include the following topics, however different ones concerning Modeling & Simulation in Industry are welcome.

  • Continuous and Hybrid Systems
  • Lumped and Distributed Parameter Systems
  • Switched Systems
  • Qualitative Modeling
  • Bond Graph Modeling
  • Mathematical Modeling and Numerical Methods
  • Neural Networks
  • Fuzzy Systems
  • Nonlinear Systems
  • Large Scale Systems
  • Order Reduction and Model Simplification
  • System Identification
  • Adaptive Control
  • Expert Systems
  • Industrial Applications of Advanced Control
  • Intelligent Control
  • Multivariable Control
  • Nonlinear Control
  • Robust Control
  • Networked Control Systems
  • Fault Detection
  • Process Supervision
  • Software and Tools
  • CAD
  • Education
  • Aero and Astro
  • Agroindustries
  • Automation
  • Biomechanics
  • Prosthetics and Biomedical Engineering
  • Car Industry
  • Chemical Engineering and Process Control
  • Electrical and Power Systems
  • Distributed Generation and Electrical Microgrids
  • Smart Grids
  • Environmental Systems
  • Food Industry
  • Integrated Manufacturing
  • Marine and Off-Shore Control
  • Mechatronics, Production Industry
  • Power Electronic Systems
  • Robotics & Mechanical Systems
  • Textile Industry
  • Transportation Systems


An Open Track addresses specific, well-defined subjects and has no upper limit on the number of papers that can be submitted to it. Contributions to open tracks can be either regular papers or short papers (min 3 pages length) and they will appear in the conference proceedings. The organizer(s) of an Open Track will be inviting contributions but the tracks are open to everyone is willing to contribute. If at least 4 papers are submitted to the track, one (or more) Invited Sessions, including those papers, will be part of the conference program.

Chair: Daniel E. Viassolo

Affiliation: Schlumberger, USA

Track Description: It is nowadays possible and affordable to deploy complex workflows dedicated to collect asset data, detect anomalies, and estimate remaining useful life to optimize asset maintenance. Machine Learning plays a major role in such involved workflows, leveraging the tremendous amounts of data generated by IoT sensors, maintenance systems and operating systems. It is fair to state that the availability of affordable computing power, massive data storage and low-cost sensors, initiated a revolution in condition-based maintenance. Companies across the board have taken bold steps in implementing condition-based asset maintenance schemes as they quickly became aware of the tremendous benefits they can bring to their bottom lines. This invited session solicits contributions describing applications of advanced Machine Learning, Big Data, Cloud Computing, and Artificial Intelligence in general to the maintenance of industrial assets. Appropriate technologies for session topics include (but are not limited to):

  • Image analytics.
  • Aggregation of offline (non-realtime) and online methods.
  • Hybrid Models (data-based, physics-based).
  • Deep Learning.
  • Natural Language Processing.
  • Auto ML.
  • RPA – Robotic Process Automation.
Please be sure to select “​​​​​Machine Learning for Condition-Based Maintenance (ML4CBM) – Applications to Industrial Assets” as main topic during the submission.

Submit an Open Track Proposal

Are you willing to propose an open track and collect papers focusing on a specific subject? Fill the form and send it to f.longo@unical.it and sjunco@fceia.unr.edu.ar.

Key Dates

Paper Submission Deadlines

Registration Deadlines


IMAACA 2021 Organization Board

Sergio Junco

IMAACA General Chair
Universidad Nacional de Rosario, Argentina

Loucas Louca

IMAACA Program Chair
University of Cyprus, Cyprus

Geneviève Dauphin-Tanguy

IMAACA Honorary Chair

IMAACA 2021 Organization Staff

Agostino G. Bruzzone – University of Genoa, Italy

Alessandro Chiurco – DIMEG, University of Calabria, Italy

Virginia D’Augusta – DIMEG, University of Calabria, Italy

Jessica Frangella – DIMEG, University of Calabria, Italy

Caterina Fusto – DIMEG, University of Calabria, Italy

Lucia Gazzaneo – DIMEG, University of Calabria, Italy

Luca Giansiracusa – CAL-TEK S.r.l., Italy

Francesco Longo – University of Calabria, Italy

Marina Massei – Liophant Simulation, Italy

Letizia Nicoletti – CAL-TEK S.r.l., Italy

Mohaiad Osman Elbasheer – MSC-LES, University of Calabria, Italy

Antonio Padovano – University of Calabria, Italy

Cataldo Russo – CAL-TEK S.r.l., Italy

Simone Talarico – DIMEG, University of Calabria, Italy

Marco Vetrano – CAL-TEK S.r.l., Italy

Kirill Sinelshchikov – Simulation Team, Italy

IMAACA 2021 International Program Committee

Jorge Baliño – University of São Paulo, Brazil

Wolfgang Borutzky – BRS-University, Germany

Mauro Carignano – UNR, Rosario, Argentina

Nicolaï Christov – LAGIS, UST Lille, France

Jean-Yves Dieulot – Polytech’Lille, France

Alejandro Donaire – QUT, Australia

Tulga Ersal – University of Michigan, USA

Vladimir Turetsky – ORT Braude College · Department of Mathematics, Israel

Adrian Ilinca – U. du Québec à Rimouski, Canada

Jean-Marc Mercantini – Aix-Marseille University, France

Fabrizio Leonardi – FEI, Brazil

Francesco Longo – University of Calabria, Italy

Aziz Naamane – Laboratoire d’Informatique et Systèmes (LIS), France

Matías Nacusse – FCEIA, UNR, Argentina

Rachid Outbib – LSIS, Marseille, France

Pushparaj Mani Pathak – IIT, Roorkee, India

Ricardo Pérez Correa – PUC, Chile

Mónica Romero – FCEIA, UNR, Rosario, Argentina

Christophe Sueur – Centrale Lille, France

Armand Toguyeni – Centrale Lille, France

Costas Tzafestas – NTUA, Greece

Jorge Vega – CIESE (UTN-FRSF) and INTEC (CONICET-UNL), Argentina

Daniel Viassolo – Schlumberger, Houston, TX, USA

Belkacem Ould-Bouamama – Polytech Lille, France

Aníbal Zanini – Fac. de Ingeniería, UBA, Argentina

Norberto Nigro – CIMEC, UNL, S. Fe, Argentina

Get on board the team now!

Are you willing to join the Organization Committee or the International Program Committee? Discover the benefits and opportunities now and submit your proposal.