CALL FOR PAPERS: HybAI 2026
Special Session on Hybrid Intelligence: Integrating Physics-Based Principles with Data-Driven AI
Within the 23rd International Conference on Informatics in Control, Automation and Robotics (ICINCO 2026)
October 26 - 28, 2026 | Angers, France

Official Website: https://icinco.scitevents.org/HybAI.aspx

=== SCOPE ===
This special session focuses on the intersection of physical sciences, control engineering, and artificial intelligence. The scope encompasses the development, analysis, and application of gray-box modeling—approaches that strategically combine physical laws, domain knowledge, and first principles with the flexibility of modern data-driven AI.

The session aims to bring together researchers and practitioners developing methods that are both intelligent and accountable, targeting safety-critical, data-scarce, or highly complex domains (such as industrial automation, healthcare, scientific discovery, and robotics) where purely black-box models are insufficient, and purely white-box models fail to scale.

=== TOPICS OF INTEREST ===
Topics of interest include, but are not limited to:

Hybrid and Gray-Box Modeling: Integration of physics-based principles, constraints, and domain knowledge with neural networks; Physics-Informed Neural Networks (PINNs) for modeling, simulation, and control.

System Modeling, Control, and Digital Twins: System identification and parameter estimation using hybrid models; controllers combining first-principles and data-driven components; high-fidelity digital twins for optimization.

Applications in Industry, Medicine, and Science: Predictive maintenance and process optimization; biomechanical models combined with AI for personalized medicine; hybrid models for inverse problems in physics, chemistry, and climate science.

Human-Centric and Safety-Critical AI: Human-in-the-loop systems; safety, robustness, and certification of AI systems where hallucinations or failures are unacceptable.

Explainability, Robustness, and Evaluation: Methods for interpretability, uncertainty quantification, and stability analysis in hybrid models; benchmarks for evaluating hybrid intelligence in real-world settings.

=== IMPORTANT DATES ===

Paper Submission: July 31, 2026

Authors Notification: September 9, 2026

Camera Ready and Registration: September 18, 2026

=== PUBLICATIONS ===
After thorough reviewing by the special session program committee, all accepted papers will be published in a special section of the conference proceedings book - under an ISBN reference and on digital support - and submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index. SCITEPRESS is a member of CrossRef and every paper is given a DOI.

=== SUBMISSION INSTRUCTIONS ===
Prospective authors are invited to submit papers via the web-based submission system on the ICINCO Special session website: https://icinco.scitevents.org/HybAI.aspx

=== SESSION COMMITTEE ===
Co-Chairs:

Dr. Vittorio Lippi (Calejo Hybrid Intelligence AB, Germany)

Dr. Ndivhuwo Makondo (IBM Research, University of the Witwatersrand, South Africa)

Dr. Leonard Johard (Calejo Hybrid Intelligence AB, Sweden)

Program Committee:

Martin Ciupa (MindMaze, Switzerland)

Dr. Elena Gramellini (Univ. of Manchester, United Kingdom)

Dr. Ines Schweigert (Jonas & Redmann, Germany)

Dr. Riccardo di Sipio (Dayforce, ex-CERN, Canada)

Prof. Claudio Zito (Heriot-Watt Univ., United Arab Emirates)

Secretariat Contact: icinco.secretariat@insticc.org