Ricerca

La Commissione Ricerca rappresenta l’organo di collegamento tra le varie aree che compongono la comunità GRIN. La Commissione fornisce pareri alla Giunta sui temi legati alla ricerca in Informatica e ne monitora l’andamento generale per risultati, prospettive, risonanza pubblica e valutazioni di qualità. A questo riguardo, e in relazione alle opportunità di trasferimento tecnologico e di conoscenza, la Commissione si raccorda anche con gli organi CINI, Consorzio Interuniversitario Nazionale per l’Informatica.

La Commissione formula proposte sulla valutazione della ricerca, incluso il monitoraggio delle aree di interesse per la comunità GRIN e la classificazione di conferenze e riviste destinatarie di pubblicazioni scientifiche, con particolare attenzione alle iniziative ministeriali di valutazione premiale quali VQR (dipartimentale) e ASN (individuale).

La Commissione infine promuove eventi a carattere scientifico e divulgativo a cavallo delle diverse aree che compongono la comunità GRIN.

Docenti INF/01

283

Professori ordinari

431

Professori associati

436

Ricercatori

174

Dottorandi (XXXVIII ciclo)

Valutazione dei Dipartimenti

5

Valutazione della Ricerca

5

Valutazione delle Conferenze

5

Open Science & Open Access

5

Novità sulla Ricerca

Theory and Foundations For Modeling & Simulation Track (TMS) 2025 – Deadline Extension

Theory and Foundations For Modeling & Simulation Track (TMS)

As part of the SCS Annual Simulation Conference (ANNSIM 2025)
https://annsim.org/

May 26-29, 2025
Complutense University of Madrid, Spain

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We are pleased to announce that the paper submission deadline for the Theory and Foundations for Modeling and Simulation (TMS) track at the Annual Modeling and Simulation Conference (ANNSIM’25) has been extended to February 2, 2025

Aims and Scope:
The TMS Track serves as a dynamic platform for showcasing the latest advancements in the Theory and Foundations of Modeling and Simulation. Emphasizing the breadth of concepts, methodologies, practices, and toolkits in the field, the TMS Track invites submissions of unpublished papers that explore these topics and beyond, aiming to enrich and expand the theoretical and foundational aspects of Modeling and Simulation. This initiative seeks contributions that enhance our understanding and development of systems in the fields of networks and computers, cyber-physical systems, applications in nature (physics, chemistry, biology), as well as social applications.

Accepted papers will be submitted to the IEEE Digital Library for archiving (ACM Digital Library confirmation pending) and will be indexed in DBLP and SCOPUS databases

Selected topics include:
Modeling & Simulation Formalisms (Actors, DEVS, Petri nets, Statecharts, etc.)
Multi-formalism Modeling, Hybrid Modeling Languages, Multi-Modal Modeling
Multi-Resolution/Multi-Scale Modeling, Multi-Paradigm/Multi-Domain Modeling
Model Checking, Formalism-Based Model Debugging, Model Transformation
Parallel, Distributed, Real-Time, Cloud-Based, and Interactive Simulation
Modular Hybrid, Spatially Distributed, and Ultra Large-Scale Systems
Co-simulation, Interoperability, Simulation Languages, Numerical Solvers
Embedded, IoT, and Fog Computing Modeling and Simulation Software
Theory for Modeling Cyber-Physical Systems and Digital Twins
Theory and Methodologies for Business Process M&S (Human-in-the-loop, resources modeling, processes optimization, etc.)
Model Development and Simulation Visualization Tools
Model Libraries, Repositories, and Data Formats
Data-driven simulation inferencing and learning

Important Dates:
Paper submission deadline: February 2, 2025 (EXTENDED)
Acceptance notification: March 7, 2025
Camera-ready version: March 26, 2025
Conference Program Announced: April 9, 2025

Track Chairs:
Gabriel Wainer, Carleton University, Ottawa, Canada, gwainer@sce.carleton.ca
Paolo Bocciarelli, University of Rome Tor Vergata, Rome, Italy, paolo.bocciarelli@uniroma2.it

GRIN Società Informatica Italiana

Associazione senza scopo di lucro

Sede legale

Dipartimento di Informatica dell’Università di Pisa

Codice Fiscale

93048910504
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