Workshop @ IEEE SWC 2026

The 1st International Workshop on Platforms and Resources for INtelligent CybEr-Physical Systems (PRInCePS 2026)

Rende, Italy September 7 - 11, 2026

Workshop Info

Full Paper Submission Apr 1, 2026
Authors Notification July 1, 2026
Camera-ready July 31, 2026
Conference Dates September 7 - 11, 2026

  • Michele Ruta
    Polytechnic University of Bari, Italy
  • Floriano Scioscia
    Polytechnic University of Bari, Italy
  • Saverio Ieva
    Polytechnic University of Bari, Italy
  • Agnese Pinto
    Polytechnic University of Bari, Italy

  • Ivano Bilenchi
    Polytechnic University of Bari, Italy

  • Davide Loconte
    Polytechnic University of Bari, Italy

  • Carmelo Ardito
    Polytechnic University of Bari, Italy
  • Ivano Bilenchi
    Polytechnic University of Bari, Italy
  • Simona Colucci
    Polytechnic University of Bari, Italy
  • Francesco Maria Donini
    Università della Tuscia, Viterbo, Italy
  • Hasan Ali Khatthak
    Western Sydney University, Sydney, Australia
  • Nicola Epicoco
    LUM “Giuseppe Degennaro” University, Italy
  • Corrado Fasciano
    Polytechnic University of Bari, Italy
  • Filippo Gramegna
    LUM “Giuseppe Degennaro” University, Italy
  • Davide Loconte
    Polytechnic University of Bari, Italy
  • Giuseppe Loseto
    LUM “Giuseppe Degennaro” University, Italy
  • Alessandro Massaro
    LUM “Giuseppe Degennaro” University, Italy
  • Michele Ruta
    Polytechnic University of Bari, Bari Italy
  • Floriano Scioscia
    Polytechnic University of Bari, Italy
  • Arnaldo Tomasino
    Polytechnic University of Bari, Italy
  • Michael Sheng
    University of Adelaide, Adelaide, Australia

Call for Papers

CPSs represent a fundamental paradigm for integrating computational intelligence with physical environments. By combining sensing device infrastructures, distributed computing platforms and artificial intelligence, CPSs enable the monitoring, analysis and control of complex real-world processes across multiple domains. Recent technological advances in IoT, edge and cloud computing, artificial intelligence and data analytics are fostering the emergence of intelligent CPS capable of autonomously observing physical phenomena, processing large volumes of heterogeneous data and supporting adaptive decision-making processes.

These developments are opening new opportunities in several application domains, including smart agriculture, healthcare, smart infrastructures and industrial systems. In such contexts, intelligent CPS platforms must address a number of open challenges related to interoperability, scalability, distributed intelligence, security and the integration of heterogeneous data sources. The design of platforms and computational resources capable of supporting such complex ecosystems therefore represents a key research challenge.

The International Workshop on “Platforms and Resources for INtelligent CybEr-Physical Systems” (PRInCePS) aims to investigate models, architectures and technological solutions supporting the development of intelligent CPSs. In particular, the workshop will focus on the integration of artificial intelligence, IoT infrastructures, distributed cloud-edge computing platforms and data-driven decision support systems for realworld applications.

The workshop will provide a forum for researchers and practitioners to discuss novel approaches, architectures, experimental platforms and real-world use cases enabling intelligent CPSs in different domains, including smart agriculture and environmental monitoring, digital health and biomedical systems, smart infrastructures and digital twins, as well as cybersecurity in supply chain and manufacturing scenarios.

By bringing together contributions from multiple research communities, the workshop aims to foster the development of interdisciplinary solutions for next-generation intelligent CPSs.

Topics of Interest

The topics include (but are not limited to):

Architectures and platforms for Intelligent CPSs
Artificial Intelligence techniques for CPS environments
IoT infrastructures for large-scale sensing and monitoring
Edge AI, cloud-edge and cloud-to-thing orchestration for distributed intelligent systems
Data integration and interoperability in heterogeneous CPS ecosystems
Machine learning and data analytics for sensor data streams and time-series analysis
Decision Support Systems for cyber-physical environments
Intelligent monitoring of physical systems through AI and data-driven models
Knowledge Graphs, semantics-based and neuro-symbolic approaches for autonomous agents
CPSs for smart agriculture and environmental monitoring
Digital platforms and data ecosystems for healthcare and biomedical applications
Digital Twin technologies for smart infrastructures and built environments
Immersive technologies (AR/VR) for infrastructure monitoring and management
Cybersecurity and resilience in industrial CPSs
Anomaly detection and threat intelligence for industrial IoT and smart manufacturing
Experimental platforms and testbeds for CPS validation and simulation
Industrial and real-world applications of intelligent CPS platforms

Types of Submissions

The workshop welcomes high-quality, original research contributions that advance the scientific and technological foundations of the smart world. All submissions must use the official IEEE conference paper template. Authors are invited to submit their work in one of the following categories:

Full Papers

6 pages

Complete research studies containing significant findings, rigorous methodology, and comprehensive experimental or theoretical results.

Short Papers

4 pages

Concise contributions reporting promising early results, innovative ideas, or ongoing work that is expected to stimulate discussion and further development.

Poster & Demo Papers

2 pages

Visual or interactive presentations showcasing prototypes, systems, applications, or early research results that highlight practical innovations and emerging technologies.

Publication and Indexing

All accepted and presented papers will be considered for the conference proceedings and indexing in major repositories.

IEEE Xplore

Submitted for publication in IEEE Xplore Digital Library.

Major Databases

Indexed in Elsevier, IET, and Scopus.

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