Keynote Speakers

Description 1
Francisco Almada Lobo
Critical Manufacturing
Portugal
Description 2
Liliana Cucu-Grosjean
INRIA-Paris
France
Description 3
Giovanni Di Stefano
COMAU
Italy

10th September:
Industry 4.0 and the data revolution

Francisco Almada Lobo

CEO and Founder of Critical Manufacturing, Porto, Portugal

Abstract:

The progression toward Industry 4.0 continues to be shaped by a complex interplay between technological advancement and implementation challenges on the shop floor. While AI, IoT, and robotics have matured, their adoption remains fragmented, often constrained by legacy systems, integration hurdles, and organizational resistance. Many digital transformation efforts become stalled in limited-scale pilots, unable to transition to full deployment. A structured digitalization approach, supported by frameworks such as the Smart Industry Readiness Index (SIRI) and enabled by a modern Manufacturing Execution System (MES), is essential to overcoming these obstacles. Recent advances in artificial intelligence, including generative AI and autonomous AI agents, have introduced powerful tools for real-time process optimization, adaptive planning, and intelligent system orchestration. These technologies are poised to reshape manufacturing software by enabling self-improving systems that respond dynamically to operational data. Strategic alignment, strong leadership, and a focus on scalable, value-driven use cases are key enablers in unlocking the full potential of AI-driven Industry 4.0 transformation.

Speaker Bio:

Francisco Almada Lobo is recognized as a top strategic thought leader and evangelist on digital transformation, specifically Industry 4.0, manufacturing operations and the factories of the future. He holds an MBA and an Electrical Engineering Degree from the University of Porto and started his career in a CIM R&D Institute and joined Siemens Semiconductor in 1997. Throughout his tenures at Siemens, Infineon and Qimonda, Almada Lobo specialized in optimizing highly complex, discrete manufacturing operations. In 2004, he led the first migration of an MES system in a running high-volume facility. Almada Lobo holds various positions within the smart manufacturing and venture capital industries, including being former member of the 200M Fund’s Investment Committee, Advisory Board Member at Critical Ventures, Executive Committee Member of SEMI Smart Manufacturing Technology, Member of the Forbes Technology Council and Advisor to many Industry 4.0 startups, beyond being a co-founder and business angel at COREAngels Porto.

11th September:
Why can’t large data replace the time understanding of embedded products?

Liliana Cucu-Grosjean

Group leader at INRIA - Paris / Co-Founder of StatInf, Paris, France

Abstract:

While embedded industries collect an important amount of data from the functioning of their products, increasing the global added value is not obvious. Beyond the lack of an appropriate business model, embedded industry actors do face three vital challenges. The first challenge concerns the pressure from an accelerated use of such data in more general use products, without any requirements regarding their frugality, nor their justifiability. As a result, proposed R&D methodologies do not include these requirements among working hypotheses and become not applicable to the design of embedded products. The second challenge comes from associated programming languages easing the use of large data but moving away from the low-level understanding of hardware and software interactions. Last, but not least, the fact that the legal owner of that data is not well identified constitutes the third challenge in taking advantage of using data within embedded products. In this talk, we discuss how time constraints and the understanding they bring within the development cycle of embedded products may become a valuable ally in facing these three challenges.

Speaker Bio:

Liliana Cucu-Grosjean is a Research Director at the French National Institute in Computer Science and Automation (INRIA) in Paris, France, where she leads the Kopernic research team. Her research interests include real-time, embedded and cyber-physical systems with a focus on the use of probabilistic and statistical methods for analyzing the schedulability of programs and estimating worst-case execution of those programs. Co-author of several seminal papers on probabilistic and statistical methods for real-time systems, Liliana has published more than 60 papers in top TCRTS conferences and journals. She has served the community by acting as (General, TPC/track/topic and local) chair for important venues of the TCRTS community (RTSS, RTCSA and RTNS) as well as strongly-related venues (DATE for architecture-oriented topics and MAPSP and ROADEF for scheduling-oriented events). Co-founder of workshops like WMC (RTSS joint workshop), JWRTC (RTNS joint workshop) and Dagstuhl series on mixed criticality, she has helped consolidating the diversity actions among under-represented categories of researchers.

12th September:
Industrial Heritage For Training Advanced Robotics Neural Networks

Giovanni Di Stefano

Head of Robotics Engineering at COMAU, Turin, Italy

Abstract:

In the rapidly evolving AI landscape, large-scale models like ChatGPT, Gemini, or SAM dominate consumer applications. However, for industrial companies, the real opportunity lies not in developing their own general-purpose AI but in specializing existing models to fit their highly technical and niche-specific needs.

Many industrial enterprises possess vast amounts of domain-specific, high-quality data ranging from mechanical component design to system identification and technical drawing definitions. These datasets hold the key to unlocking AI-driven automation in complex engineering tasks that general-purpose AI cannot handle.

By embracing AI specialization, automation companies can gain a competitive edge, improving productivity and decision-making without the prohibitive costs of developing foundational AI models. The future of AI in robotics is not about competing with large-scale AI. It’s about adapting and refining it for precision, reliability, and real-world impact.

Speaker Bio:

Giovanni Di Stefano leads technology activities to support the expansion of Comau’s portfolio in both traditional and emerging industrial sectors as the head of Advanced Robotics. He holds a degree in Electronic Engineering from the University of Rome and further specialized through a Master in Industrial Automation at Comau in collaboration with Politecnico di Torino, followed by an Executive MBA from ESCP in Paris.

In the early years of his career, he combined field operations with R&D in the automotive industry, later becoming Head of the Process Technologies Department, where he led an international team focused on developing new industrial processes. As the leader of the Innovation and Advanced Robotics team, he has been instrumental in advancing industrial technologies such as mobile robotics for indoor and outdoor applications, vision systems for quality inspection and robot guidance, IoT digital solutions, and complex vision systems.

Throughout his tenure at Comau, Giovanni has significantly contributed to robotics development, securing patents, managing National Operational Plan funds, establishing a Software House, and creating a Public-Private Laboratory with Politecnico di Bari dedicated to digital technologies, vision systems, and artificial intelligence. His expertise extends to managing Intellectual Property and European projects, with a strong emphasis on sustainable technologies, including humanoids, cognitive robotics, and reconfigurable manufacturing systems. Notably, his patented mobile robotics solution for photovoltaic plant installation earned the Innovation Award at the WCPEC.

Recognized for his impact in the field, Giovanni has been selected as one of Fortune’s Forty under Forty.

Conference Activities

Welcome Reception

Time: September 10, 18h00 (hour TBC)

Caves Ferreira port wine cellars (https://sogrape.com/en/tourism/caves-ferreira)

Visit to these historical port wine cellars, followed by a Port of Honor welcoming ETFA 2025 participants. The cellars are located in the heart of Ribeira de Gaia on the south bank of the Douro River, facing the city of Porto. This are is known for its picturesque, colorful buildings, cobbled streets, and lively atmosphere, particularly along the waterfront, full of restaurants and bars.

Conference Banquet

Time: September 11, 19h30 (hour TBC)

Porto Cruise Terminal of the Port of Leixões (https://leixoes.apdl.pt/en/the-port/)

A modern cruise terminal inaugurated in 2011 and in full operation since 2015. It is a building with the shape of a boat hull, built on purpose for ocean-going passenger ships. It is located in the south pier of the Port of Leixões and it is also home to the Production, Science and Scientific Outreach Departments of CIIMAR - Interdisciplinary Center for Marine and Environmental Research.

Technical Tracks

Track 1 Accepted Papers

Track 1 - Information Technology in Automation

Automated Security Configuration Verification for OT Networks: An Architecture and AutomationML Approach

Julian Göppert, Axel Sikora

IO-AutoMapper: Leveraging LLMs to Bind I/O Signal List Entries to Control Function Blocks in Industrial Automation

Heiko Koziolek, Virendra Ashiwal, Thilo Braun, Sofia Linsbauer

Integrating AI Planning Semantics into SysML System Models for Automated PDDL File Generation

Hamied Nabizada, Tom Jeleniewski, Lasse Beers, Maximilian Weigand, Felix Gehlhoff, Alexander Fay

A Framework for Energy Efficiency Analysis and Optimal Sizing of Industrial Motors

Giacomo Garegnani, Shuai Guo, Thanikesavan Sivanthi, Philipp Sommer, Felix Sutton

From Grafcet Diagrams to IEC 61499 Control Applications: A Unified Function Block Approach

Isabel Roselló Gonzalez, JULIO ARIEL ROMERO, Oscar Miguel-Escrig

Event-Driven Method for Automated Compliance Testing of Submodels

Israt Nowshin, Ghada Mohamed, Dirk Schöttke, Stephan Schäfer, Aaron Zielstorff

Offline Reproduction of Function Block Networks in IEC 61499 Resources

Jose Cabral, Alois Zoitl

Representing Time-Continuous Behavior of Cyber-Physical Systems in Knowledge Graphs

Milapji Singh Gill, Tom Jeleniewski, Felix Gehlhoff, Alexander Fay

Component-based Control Software design using IEC 61499 Adapter Interfaces

Shubham Sharma, Alexander Stummer, Lisa Sonnleithner, Alois Zoitl

A Formal Model Transformation from Data Flow Models to IEC 61499 Models

Malte Grave, Alois Zoitl, Verena Klös, Markus Meingast, Lisa Sonnleithner, Jörg Walter

Modeling Interaction Patterns for Distributed Systems with IEC 61499

Peter Herrmann, Alois Zoitl

CPSWatch: Lightweight Ontology for System Description and Diagnosis

Björn Ludwig, Maria Maleshkova, Oliver Niggemann

DriveAIAgent: A Multi-Agent System for Industrial Drive Commissioning and Troubleshooting

Virendra Ashiwal, Marcus Ritter, Sebastian Palacio, Nicolai Schoch

Track 2 Accepted Papers

Track 2 - Industrial Communication Technologies and Systems

Latency Evaluation of Industrial Wi-Fi for Real-Time Connectivity in Factory Setup

Akif Kabaci, Sebastian Bro Damsgaard, Preben Mogensen

Simulation-Based Evaluation of Adaptive Time-Quanta Shifting for EMI Reduction and Robustness in CAN FD Communication

Ziya Cevahir, Hafiz Abdul Quddus, Md Sanowar Hossain, Alexander Jesser

Scalable Online Scheduling with Zero Jitter for Time-Sensitive Networking

Yuan-Yao Shih, Pin-Yu Wu, Ai-Chun Pang

A Combination of Bluetooth Physical Layer Key Generation and Physically Unclonable Functions for Lightweight Security in IoT Edge Nodes

Wacime Hadrich, Axel Sikora

Resilient Time-Sensitive Networking for Industrial IoT: Configuration and Fault-Tolerance Evaluation

Mohamed Seliem, Dirk Pesch, Utz Roedig, Cormac Sreenan

Detecting QoS Degradation in Time-Critical Networks due to Misconfiguration or Attacks

Lukas Bechtel, Lukas Popperl, Michael Menth, Tobias Heer

A Smart Redundant Version of the MQTT Protocol

Claudio Zunino, Manuel Cheminod, Gianluca Cena, Alberto Morato, Stefano Vitturi, Elena Ferrari, Federico Tramarin

PS-Aware OSD – An Energy-Efficient Paging Approach for 5G-Enabled Industrial IoT Devices

Emmanuel Ogbodo, Juergen Jasperneite, Luciano Mendes, Arne Neumann, Anish Kurien, Adnan Abu-Mahfouz

Modelling and Simulation of Smart Electric Vehicle Charging Sites

Gerald Franzl, Albert Treytl, Oleg V. Bisikalo, Maria Forkaliuk

Digital Twins of Industrial and 6G Systems: Enablers Towards Situational Awareness

Armin Hadžiaganović, Joachim Sachs, James Gross, Damir Hamidovic, Mahin Ahmed, Raheeb Muzaffar, Andreas Springer, Hans-Peter Bernhard

A Methodology to Map Industrial Automation Traffic to TSN Traffic Classes

Kasra Ekrad, Inés Álvarez, Bjarne Johansson, Saad Mubeen, Mohammad Ashjaei

Performance Evaluation of Parallel Wi-Fi Redundancy with Deferral Techniques

Stefano Scanzio, Gianluca Cena, Pietro Chiavassa

Lossless Compression of Time Series Data: A Comparative Study

Jonas Matt, Pengcheng Huang, Balz Maag

On the Use of 5G Networks in IEC 61850-Based Electrical Substation Automation Systems

Ivan Lehmkuhl, Carlos Montez, Ricardo Moraes, Hector Leon, Paulo Portugal

Track 3 Accepted Papers

Track 3 - Real-Time Systems and Applications

An unfair optimal scheduling algorithm for uniform multiprocessors

Thomas GASPARD, Pascal Richard, Emmanuel Grolleau, Antoine Bertout, Joël Goossens

Test case generation principle based on assume-guarantee reasoning

Tomas Ausberger, Karel Kubíček, Pavla Medvecova

NFC-based Power-Harvesting Signage System in an Embedded Real-Time Environment

Volker Tenta, Johannes Anderle, Patrick Schmitt, Roman Beneder

q-AMC: Integrating Quality Management in Mixed Criticality Scheduling

Alan Le Boudec, Hai-Nam Tran, Stéphane Rubini, Alexandre Skrzyniarz, Frank Singhoff

Replication-Driven Resource Sharing in Real-Time Multicore Systems

Moris Behnam

Track 4 Accepted Papers

Track 4 - Automated Manufacturing Systems

Transparent Integration of Energy Awareness into Production Planning Systems

Stefan Kollmann, Alireza Estaji, Aleksey Bratukhin, Simon Howind, Roland Stenzl, Albert Treytl, Thilo Sauter

Automated Assembly Picking System for Cluttered Environments with Live Collision-Free Trajectory Planning

Xiaomei Xu, Attique Bashir, Jaykumar Bhagiya, Rainer Müller

Electric Vehicle Battery State Of Health Estimation For Adaptive Warranty Extensions And Battery Certification

Katarzyna Chyrowicz

Automated Generation of Precedence Graphs in Digital Value Chains for Automotive Production

Cornelius Hake, Christian Friedrich

Design and Implementation of 5G Asset Administration Shells: Bridging Networks and Industry 4.0

Elham Dehghan Biyar, Deniz Cokuslu, Janina Gauss, Manuel Fuentes, Alberto Alonso, Niels König, Robert H. Schmitt, Yunus Donmez

Bayesian Optimization of Process Parameters of a Sensor-Based Sorting System using Gaussian Processes as Surrogate Models

Felix Kronenwett,Georg Maier,Thomas Längle

A Hybrid Digital Twin Framework for Stability Analysis in Dynamic Systems

Diogo Rocha, Rui Pinto, Gil Gonçalves

Time Series Management in Data Acquisition and Analysis for Prototyping in Production Engineering

Mauritz Mälzer, Kim Wejlupek, Hajo Wiemer, Steffen Ihlenfeldt

Controlling the Shape of Deformable Linear Objects in 3D with a Simple Geometric Model

Miguel Burgh-Oliván, Miguel Aranda, Gonzalo López-Nicolás

Identification of an Approach for the Execution of Skill-Based Domain-Specific Languages in the Area of Human-Robot Collaboration

Lukas Buchner, Philipp Zallinger, Karin Nachbagauer, Alois Zoitl, Roman Froschauer

3SRank: An Effective Method for Measuring Semantic Similarity Strength

Lianyin Jia, Runxin Li, Haihe Zhou, Aoxiang Gao, Mengjuan Li

A Two-Stage Multi-Source Transfer Learning Approach for Software Defect Prediction

Hao Li, Shuo Wang

Complexity-Aware Distribution Optimization for Computing-intensive Distributed Automation Systems with IEC 61499

Tuojian Lyu, Udayanto Dwi Atmojo, Valeriy Vyatkin

Attention-Guided Time-Channel Masking for Self-Supervised Human Activity Recognition via Masked Sensor Data Reconstruction

long yang, Jun Qi, xiyang peng, Xulong Wang, Po Yang

Towards Few-shot LLM-based Vulnerability Reproduction and Verification for Industrial Web Applications

Gang Yang,Lin Ni,Shaofeng Lin,Tao Xia

Track 5 Accepted Papers

Track 5 - Industrial Control

Practical Implementation of PIDA Controllers

Francesco Campregher, Antonio Visioli

Electromagnetic linear actuator for dancer systems in coil winding applications

Gerd Janssen

Robust Vibration Suppression Learning Control for Resonance Frequency Variations: A Frequency-Shaping Approach

Shota Teramoto, Yoshihiro Maeda

Bumpless Transfer Control Strategy for Event-Based Cloud Control System

Alvin Surjana, Elmar Ahle, Dirk Söffker

A Nonlinear Model Predictive Control Approach for Hybrid Energy Storage Systems Using Heterogeneous Lithium Batteries

Paula Arias, Marc Farrés, Alejandro Clemente, Lluís Trilla

Modeling the Future: Next-Generation batteries and evaluation of Hybrid Energy Storage Systems with Physics-Based Models

Andrés Bernabeu Santisteban, Sergi Obrador Rey, Simon Clark, Eibar Flores Cedeno, Alejandro Clemente León, Lluís Trilla

Thermal Evaluation of Variable Frequency Drives: Design and Metrological Validation of an Automated Test Rig for Industrial Applications

Juliano da Silva, Rodolfo Flesch, João Machado

Optimizing Energy Allocation with the CEC-UAB Simulator: Forecasting Comparison

Ramon Gallinad Corti, Sebastián Madrigal, Jose Lopez Vicario, Antoni Morell, Ramon Vilanova

Enhancement Review of the Collective Self-Consumption based Energy Communities: Insights from a Spain-based Case

Sebastián Madrigal, Jose Lopez Vicario, Antoni Morell, Ramon Vilanova

Track 6 Accepted Papers

Track 6 - Computer Vision and Human-Machine Interaction in Industrial and Factory Automation

Plug-and-Play One-Shot Object Detection Framework for Industrial Applications

Milena Yahya, Enrico Civitelli, Nicola Longo, Alessandro Rizzo

Shopfloor-Integrated Manufacturing Operation Planning through Agents

Henrik Gerdes, Raven T. Reisch, Darius Burschka

Inspecting Defects of EB-PBF Components with Active Thermography and Deep Learning: A Feasibility Study

Seyed Mohammad Mehdi Hosseini, Fabio Depaoli, Francesco Ponzio, Simone De Giorgi, Giovanni Rizza, Emanuele Tognoli, Giulia Colombini, Manuela Galati, Santa Di Cataldo

Recognizing Human Actions in Collaborative Human-Robot Assembly Manufacturing

Giorgio Zoppi, Matteo Forlini, Giacomo Palmieri, Pedro Neto

Non-Contact Vibration Measurement Method Using High-Speed Imaging Applied to Pipelines

Cassiano Montibeller, Rodolfo Flesch, João Zomer, Lucian Silva, Arcanjo Lenzi, Mechelangelo Mancuzo

Track 7 Accepted Papers

Track 7 - Intelligent Robots and Systems

Dynamic k-NANN-A* for Multi-Robot Path Planning

Enrique Aldao, Laura María Fernández Pardo, Fernando Veiga López, Higinio González-Jorge

Performance Characterization of the LEAP Hand: Control Interface and Digital Twin Integration

Zahid Iqbal, Martin Dehmel, Sebastian Zarnack, Konstantin Werde

A Receding Horizon Trajectory Tracking and Obstacle Avoidance Strategy for Constrained Differential-Drive Robots

Alexis Fernando Marino Salguero, Cristian Tiriolo, Walter Lucia, Francesco Tedesco

Touch-based Effector Control to Track 3D Surfaces

Edison Patricio Velasco Sánchez, Julio Castaño-Amoros, Pablo Gil, Fernando Torres

Experimental Investigation on the Handling Stability of Vacuum Grippers with Multiple Suction Cups

Paul Geng,Sebastian Fendt, Stephan Trattnig, Johannes C. Bauer, Lukas Tanz, Rüdiger Daub

Applying Vision Transformers and Large Language Models to Anomaly Detection for Safer UAV Landings

Mohammadreza Ranjbardivkoti, A. Pedro Aguiar

Terrain Issue Detection for Servitization of Autonomous Lawn Mowing

Alan Araujo, Carl Borngrund, Ulf Bodin, Olov Schelén, Erik Zeitler

Arbutus Berry Detection and Classification for Harvesting

Joana Pereira, André Baltazar, Isabel Pinheiro, Daniel Queirós da Silva, Filipe Baptista Neves dos Santos

Robust ViT-enhanced Detection of Sacrificial Anodes in Harsh Underwater Conditions

Alexandre Costa, Andry Pinto, Pedro Leite

Integrating LLMs into Collaborative Robotics for Automated Zipped Apparel Disassembly

Andrea Bonci, Alessandro Di Biase, Sauro Longhi, Ilaria Pellicani, Mariorosario Prist, Andrea Serafini

NMPC Control Stability for AGVs in a multi-radio-technology wireless network

Eray Bektas, Konstantin Schneider, Daniel Zöller, Wolfgang Kiess, Eike Lyczkowski

Mixture of Experts Detection System for Enhanced Automatic Annotation in Photovoltaic Modules

Bárbara Santos, Lourenço Pinho, Tiago Sousa, Andry Pinto

Agent-based Initialization of Autonomous Mobile Robots: Leveraging the Asset Administration Shell for automated Commissioning

Philipp Richard, Alexis Tobias Bernhard, Andreas Luxenburger, Henning Gösling, Achim Wagner

Mobile manipulator base placement optimization using an ellipsoidal reachability model

Rosario Francesco Cavelli, Pangcheng David Cen Cheng, Marina Indri

Behavior Tree-Driven Reconfiguration Framework with Multimodal Interfaces for Handling Novel Situations in Industrial Settings

Sharath Chandra Akkaladevi, Kapil Deshpande, Sebastian Ukleja, Markus Ganglbauer, Andreas Pichler

Track 8 Accepted Papers

Track 8 - Advanced Sensing Technologies in the Industrial Internet of Things Era

Non-Invasive Method for Estimating Oil Volume in Hermetic Systems

Guilherme Ludwig, Rodolfo Flesch, João Zomer

A Study of On-Device Deep Reinforcement Learning for Task Offloading under Dynamic 5G Channel Conditions

Gorka Nieto, Idoia de la Iglesia, Unai Lopez-Novoa, Cristina Perfecto, Ali Balador, Mohammad Ashjaei

Control system runtime environment for anesthesia process automation

Jakub Dębosz, Kacper Krystaszek, Andrzej Pawlowski

From Fragmentation to Integration: A Framework for Heterogeneous IoT-based Smart City Systems

Tiago Amorim, João Bittencourt, Daniel G. Costa, Paulo Portugal

SyncFed: Time-Aware Federated Learning through Explicit Timestamping and Synchronization

Baran Can Gül, Stefanos Tziampazis, Nasser Jazdi Motlagh, Michael Weyrich

Track 9 Accepted Papers

Track 9 - Complex Automation Systems and Systems Engineering

Integration of Digital Twins with Reinforcement Learning in Industry: a Systematic Review

Marco Antonio Paz Ramos, Axel Busboom

Towards exchanging monitoring data in flexible and distributed factory organization structures

Alexis Tobias Bernhard, Ali Karnoub, Jonathan Bartels, Simon Jungbluth, Achim Wagner, Martin Ruskowski

Algorithm-based Evaluation of Automation Potential and Improvement Strategies in Automotive Assembly

Patricia Freyler, Fritz Titzmann, Hannes Röpke, Klaus Dröder

Process simulation development with IEC 61499 for runtime execution

Pathirage Pasindu Rashmika Padmathilaka, Pranay Jhunjhunwala, Valeriy Vyatkin

Automatic Behavior Simulation Model Generation for Virtual Commissioning of Machine Tools through Engineering Data Integration

Sascha Schaper, Franz Georg Listl, Tim Schenk, Stephan Grimm, Alexandra Ast, Alexander Verl

AutomationML Library Space: A concept for sharing and versioning Engineering Data Models

Rainer Drath, David Hoffmann

Requirements Analysis for a Generic Smart Grid Application Description Language: A Grounded Theory Approach

Felix Knorr

MBSE in the Manufacturing Domain: Adoption Insights, Benefits and Challenges

Sarah Riedmann,Christoph Binder,Christian Neureiter

CRADLE: Cross-Vendor Asset Digital Twin Architecture using Industrial Interoperability Standards with Application to Paper Manufacturing

Prerna Juhlin, Jan Schlake, Chen Song, Andreas Zehnpfund, Sten Grüner, Andreas Schmeiser, Kai Kratzer, Rosario Othen, Jonathan Sejdija, Philip Kayser

Demonstrating Ontology-Based DSL Specification in the Automotive Domain

Katharina Polanec, Simon Eschlberger, Christian Neureiter

Introducing a MOF-based Profile Generator to automate DSL Implementation from Formal Metamodels

Katharina Polanec, Sarah Riedmann, Simon Eschlberger, Christian Neureiter

Reducing Commissioning Efforts in the Process Industry Through Open Standards

Emil Karlsson, Pranay Jhunjhunwala, Pirya Devi, Tommi Niininen, Harry Nyqvist, Valeriy Vyatkin

The IEDT Framework: Enabling Efficient Engineering Data Exchange Using AutomationML

Ranjitkumar Gudder, David Hoffmann, Paula Hünecke, Arndt Lder

Common Concept Method for Citizen Modelers in Cross-Domain Engineering

Paula Hünecke, Christoph Binder, David Hoffmann, Hoang-Toni Hoang, Arndt Lder

Roundtrip modelling between Enterprise Architect and AutomationML

Ashley Jason Dsouza, David Hoffmann, Prathamesh Kadam, Ranjitkumar Gudder, Arndt Lder

Integration of Security Patterns for Quality Analysis in Production Systems Engineering

David Hoffmann, Arndt Lder

Track 10 Accepted Papers

Track 10 - Artificial Intelligence for Cyber Physical Systems in Automation

An Architecture for Integrating Large Language Models with Digital Twins and Automation Systems

Yuchen Xia, Nasser Jazdi Motlagh, Michael Weyrich

LLM-based Iterative Refinement of Finite-State Machines with STPA Controller Constraints and Generation of IEC 61499 Code

Carl Akira King, Valeriy Vyatkin

On the Impact of Instance- and Type-Level Modeling on Neural Network-Based Anomaly Detection for Cyber-Physical Systems

Daniel Vranjes, Oliver Niggemann

Edge-AI Framework for Fire Detection in Wildland-Urban Interface using TinyML

Rodrigo da Silva, João Bittencourt, Daniel G. Costa

Control Industrial Automation System with Large Language Model Agents

Yuchen Xia, Nasser Jazdi Motlagh, Jize Zhang, Chaitanya Shah, Michael Weyrich

A New Approach to Time Series Anomaly Detection using the wavKAN Architecture

Robert Bakschik, Christoph-Alexander Holst, Volker Lohweg

Evaluating Advanced Anomaly Detection Models for Time Series Data of Refrigeration Systems

Melina Meyer, Julian Eversheim, Johannes Pitterle, Martin Gergeleit, Dirk Krechel

Ontology-Based CAD Analysis with LLMs: Natural Language Querying of Boundary Representations

Dominik Mittel, Alexander Perzylo

Leveraging LLMs Towards Assistant-based Support for Industrial Threat Models

Enrico Fregnan, Christian Göttel, Balz Maag, Abdallah Dawoud, Georgios Nakas

LLMs as Data Preprocessors for Natural Language Processing in Manufacturing

Tom Koerner, Marco Huber, Marvin May

Combining Physical Properties with Probabilistic Methods in Neural Networks for Robust Forecasting in Electric Grids

Samim Multaheb, Edgar Diego Gomez Anccas, Detlef Schulz, Oliver Niggemann

Creating Virtual Sensors Using NeuralNetworks

Björn Ludwig, Jonas Ehrhardt, Oliver Niggemann

Tailoring RAG Strategies for Industrial Protocols: A Comparative Study on PROFIBUS Document Retrieval using Gemma and GPT Models

Thaís Medeiros, Morsinaldo Medeiros, Matheus Andrade, Marianne Silva, Ivanovitch Silva, Massimiliano Gaffurini, Dennis Brandao, Paolo Ferrari

Machine Learning to Predict Slot Usage in TSCH Wireless Sensor Networks

Stefano Scanzio, Gabriele Formis, Tullio Facchinetti, Gianluca Cena

Automatic Coin Grading: Model Based on Siamese Neural Network with EfficientNet Encoders

Makar Korchagin, Melaku Getahun, Abdelrahman Metwally, Anna Baldycheva, Andrey Somov

A Comparative Study of Attention-Augmented YOLO Architectures for Defect Detection in Fused Deposition Modelling

Hasan Cezayirli, Halil Tetik, Mehmet İsmet Can Dede, Wai Lwin Phone, Bugra Alkan

Automation of Automation: Mapping LLM Capabilities to the Modular Plant Engineering Workflow

Lucas Vogt, Leon Urbas

Track 11 Accepted Papers

Track 11 - Vehicular Embedded Systems

Development of the Environment Adaptive Controller for the Capsule Train Ride Comfort Improvement

Jinho Lee, Jae-Young Lim, Dongho Yang

Prediction of Vehicle Battery Thermal Runaway Events

Andrzej Ruta

Hierarchical Graph Search for Multi-Goal Route Planning in Autonomous Driving

Andrea Bonci, Federico Brunella, Matteo Colletta, Alessandro Di Biase, Aldo Franco Dragoni, Anjelo Libofsha

Cross-Divisional Cybersecurity Risk Management in Automotive: Requirements and Current Practices

Patrick Wagner

Autoencoders for Embedded Sensor Data Compression: A Case Study on Vehicular IoT Systems

Matheus Andrade, Miguel Amaral, Morsinaldo Medeiros, Marianne Silva, Ivanovitch Silva, Massimiliano Gaffurini, Dennis Brandao, Paolo Ferrari

TruckRSS: Adding Variable Mass to the Responsibility-Sensitive Safety Model

Murillo Guindani, José Luis Conradi Hoffmann, Antônio Augusto Fröhlich

CONAN-TSN: An Integrated Toolchain for CONfiguration and ANalysis of TSN Networks

Daniel Bujosa, Saad Mubeen, Mohammad Ashjaei

Kolmogorov–Arnold Networks under TinyML Constraints: A Study on SoC Estimation for Electric Vehicles

Thommas Flores, Morsinaldo Medeiros, Marianne Silva, Daniel G. Costa, Ivanovitch Silva

Special Sessions

Special Session 1 Accepted Papers

SS01 - Robustness and Uncertainty Quantification in Industrial AI

Quantifying Robustness: A Benchmarking Framework for Deep Learning Forecasting in Cyber-Physical Systems

Alexander Windmann, Henrik Steude, Daniel Boschmann, Oliver Niggemann

Optimizing Aircraft Assembly: A Machine Learning Approach for Screw Fastener Outcome Prediction

Tobias Gentner, Moritz Knoell, Tim Konle, Jannic Adam, Marco Klaiber, Andreas Theissler, Hermann Baumgartl

A Dataset and Baseline for Deep Learning-Based Visual Quality Inspection in Remanufacturing

Johannes C. Bauer, Paul Geng, Stephan Trattnig, Petr Dokládal, Rüdiger Daub

Leveraging Large Language Models for Robust Maintenance Rule Extraction in Industrial Settings

Chen Song, Reuben Borrison, Ralf Gitzel, Nilavra Bhattacharya, Nicola Tamascelli

The Truth About Labels: Unveiling The Hidden Risk to Supervised Machine Learning Models

Marcel Dix, Gianluca Manca, Alexander Fay

Measuring the Robustness of Alarm Flood Classification Against Alarm Data Quality Issues

Gianluca Manca, Amirhossein Najafi, Nicola Tamascelli, Franz Christopher Kunze, Marcel Dix, Martin Hollender, Alexander Fay, Tongwen Chen

Automatic Validation of Unstructured LLM-Generated Outputs: An Approach for Q&A Applications in Process Automation

Mohamed Elsheikh, Nicolai Schoch, Sebastian Palacio, Nika Strem, Katharina Stark, Mario Hoernicke

Special Session 3 Accepted Papers

SS03 - Addressing Data Scarcity: Machine Learning, Information Fusion, and Sustainable AI

Revisiting the OPC-UA Dataset for Intrusion Detection: A Scarcity-Aware Benchmarking Perspective

Rui Pinto, Gil Gonçalves

On the Impact of Pretraining with Simulated Data on Anomaly Detection in CPS - A Case Study

Richard Jaufmann, Niklas Widulle, Jonas Ehrhardt, Daniel Vranjes, Oliver Niggemann

Quality Control in Plastic Fiber Production: Overcoming Scarce Data with Explainable AI

Jan Ehlenbröker, Christoph-Alexander Holst, Volker Lohweg

Enhancing Predictive Accuracy in Aircraft Engine MRO using Clustering and Similarity Methods

Leonardo Mendonça, Flávia Pires, Miguel Duarte, Jose Barbosa, Paulo Leitao

Generation of Synthetic Data for DL-based Defect Detection in the Automotive Context

Alexander Moriz, Dominik Wolfschläger, Andrei Svetlakov, Miguel Suchodolak, Achim Byl, Friedrich Wolf-Monheim, Kai Wege, Eilis Carey, Robert H. Schmitt

Digital Transformation in HPDC: Maintenance Forecasting and Remaining Useful Life of Die

Analucia Morales, Lucas Bertinetti, Marcos Oliveira, Demóstenes F. Filho, Antonio Pereira, Heinz Rahmig, Thaynara Mabille, Renato Bulcao, Iwens Sene, Patricia Della Méa Plentz

Unsupervised Anomaly Detection in Industrial Machines supported by Vibration analysis Under Data Scarcity Constraints

Pedro Torres, Geoffrey Spencer, Arthur Esteves, Fernando Sousa, Fernando Pereira, Rui Guerreiro

Special Session 5 Accepted Papers

SS05 - Capability- and Skill-based Engineering of Manufacturing Systems

Towards a Skill-Based Framework for User-Centric QoS-Based Orchestration of Human-Robot Collaboration Workflows

Lukas Buchner, Philipp Zallinger, Karin Nachbagauer, Alois Zoitl, Roman Froschauer

Capability-Driven Skill Generation with LLMs: A RAG-Based Approach for Reusing Existing Libraries and Interfaces

Luis Miguel Vieira da Silva, Aljosha Köcher, Nicolas König, Felix Gehlhoff, Alexander Fay

A modular knowledge base concept for dynamic control logic for adaptive manufacturing

Andreas Lober, Alexander Verkhov, Hartwig Baumgaertel, Lisa Ollinger

Special Session 6 Accepted Papers

SS06 - (Gen)AI driven Safe, Secure, and Sustainable (I)-IoT/CPS

Secure Factory Automation Using IoT-Based Clustered PD-NOMA

Naureen Farhan, Aisha Danish

Towards Privacy Analysis of Internet-based Messaging Applications

Muqaddas Naz, Muhammad Taimoor Khan

Automatic Recovery of Run-time Threats in Distributed Industrial Control Systems

George Raptis, Taimoor Khan, Christos Koulamas, Dimitrios Serpanos

Special Session 7 Accepted Papers

SS07 - Evaluation Methods for Autonomous Cyber-Physical Systems’ Behavior

Fault Prevention and Removal in the Context of Autonomous Mobile Robots

Aron Schnakenbeck, Christoph Sieber, Luis Miguel Vieira da Silva, Felix Gehlhoff, Alexander Fay

Consistency Verification in Ontology-Based Process Models with Parameter Interdependencies

Tom Jeleniewski, Hamied Nabizada, Jonathan Reif, Felix Gehlhoff, Alexander Fay

A Review on Anomaly Detection for Connected Vehicles Using Deep Reinforcement Learning

Matthias Weiß, Maurice Paul Artelt, Friedrich Sautter, Philipp Grimmeisen, Nasser Jazdi Motlagh, Michael Weyrich

Leveraging LLM Agents and Digital Twins for Fault Handling in Process Plants

Milapji Singh Gill, Javal Vyas, Artan Markaj, Felix Gehlhoff, Mehmet Mercangöz

The HAI-CPS Benchmark: Evaluating AI Capabilities across Hybrid Data Spaces

Lukas Moddemann, Jonas Ehrhardt, Alexander Diedrich, Oliver Niggemann

Towards a Digital Twin-Based Evaluation Framework for Cyber-Physical Production Systems: Latin America SMEs Guideline

Edgar Chacon, Luis Alberto Cruz Salazar, Ernesto Monroy Cruz, Libis Valdez Cervantes, Juan Sebastián Sánchez Gómez, Maria Mercedes Larrondo-Petrie

Special Session 8 Accepted Papers

SS08 - Software Engineering for Cyber-Physical Production Systems (SECPPS)

A Conceptual Modelling Language for CPPS

Mainak Majumder, Alois Zoitl

Towards Event Flow Graphs for Analyzing Event Propagation in IEC 61499

Dunja Životin, Alois Zoitl

Using Behavior Trees in Risk Assessment

Razan Ghzouli, Atieh Hanna, Endre Eros, Rebekka Wohlrab

Special Session 9 Accepted Papers

SS09 - Industrial Wireless Systems Measurements, Performance Assessment, and Standardization

R-TWT in Wi-Fi 7 and Beyond: Enabling Bounded Latency, Energy Efficiency, and Reliability

Erfan Mozaffariahrar, Francesc Wilhelmi, Lorenzo GALATI GIORDANO, Pasquale Imputato, Michael Menth, Stefano Avallone

MARS: Multi-radio Architecture with ML-powered Radio Selection for Mesoscale IoT Applications

Jothi Prasanna Shanmuga Sundaram, Arman Zharmagambetov, Magzhan Gabidolla, Miguel Carreira-Perpinan, Alberto Cerpa

COMNETS: COst-sensitive decision trees approach to throughput optimization for Multi-radio IoT NETworkS

Jothi Prasanna Shanmuga Sundaram, Magzhan Gabidolla, Miguel Carreira-Perpinan, Alberto Cerpa

Special Session 10 Accepted Papers

SS10 - Zero Defects Manufacturing in the Industry 4.0 Era: AI-Driven Quality, Automation, and Cyber-Physical Systems

Enabling Zero-Defect Manufacturing Through Thermographic Data Analysis: a Steel Industry Use Case

Vittoria Medici, Milena Martarelli, Bart Verhoef, Wilhelm Van De Kamp, Nicola Paone

A Zero-Defect Manufacturing Decision-Support System for the Decorative Surfaced Panels Industry

Eliseu Pereira, Gonçalo Pinto, Beatriz Coutinho, Gil Gonçalves, José Diogo Correia, Paulo Costa Reis

Industry 4.0: Automating Gearbox Sound Anomaly Detection Using Machine Learning

Harry Hamjaya, Motunrayo Ibiyo, Shihabur Samrat, Puja Dhakal, Nicolas Leberruyer, Sébastien Lafond, Hergys Rexha

IIoT portable laser line profilometer powered by AI for gap and flush measurement in automotive

Cristina Cristalli, Matteo Nisi, Paolo Chiariotti, Emanuele Lattanzi, Nicola Paone

Interpreting Data in the Absence of Production Time Consistency and Source Tracking

Mildred Puerto-Coy, Asier Zubia, Pablo Galan, Laura Gomez, Arantza Bereciartua

Microservices based Artificial Intelligence Diagnosis System for Zero Defect Manufacturing

Júlio Costa, Waldyr Gonçalves, André Pinz Borges, Rui Tadashi YOSHINO, Jose Barbosa, Gonçalo Mota, Gisela Garcia, Paulo Leitao

A human-centric drift controller framework for adaptive and explainable quality control in manufacturing

Paolo Catti, Nikos Nikolakis, Kosmas Alexopoulos

Special Session 11 Accepted Papers

SS11 - Smart and Efficient - Emerging Trends in Building Automation

Digital Twins in the Built Environment for Indoor Air Quality Management

Jinhai Tang, Qian Xu, Theo Tryfonas

Skill-Based Multi-Agent Systems for Building Control Using KNX IoT and Web of Things

Gernot Steindl, Thomas Rapberger, Christoph Gehbauer

Short-term forecast of indoor CO2 using Gradient Boosting: A use case of a hospital in Greece

Christos Mountzouris, Grigorios Protopsaltis, Ioannis Gialelis, Despoina Fytili

Human-centric approach for determination of Thermal Plume theoretically and experimentally

Nadia Bali, Vasileios Evangelopoulos, Maria Eleni Karaitsi, Panagiotis Bouras, Ioannis Gialelis

Human-Centric Lighting System with AI-Based Object Tracking

Filip Durlik, Jakub Grela, Andrzej Ozadowicz

Control of Renewable Energy Communities using AI and Real-World Data

Tiago Carlos Fonseca, Luis Ferreira, Ricardo Severino, Pedro Pires, Ricardo Venâncio, Clarisse Sousa, Pedro Paiva, Paulo Rodrigues

Ensuring Data Quality in FIWARE-Based Air Quality Monitoring Systems: A Step-by-Step Approach

Tony Rosset Anto, Borja Albert Gramaje, Lukasz Wisniewski

Workshops

Workshop 3

WS03 - Advancing Industrial Automation: Best Practices and Innovations with IEC 61499

Introduction of UniversalAutomation.org

Greg Boucaud - UniversalAutomation.org

Use of IEC 61499 in Open Process Automation Systems Application

Pranay Jhunjhunwala - Aalto

Building an Open-Source Infrastructure for IEC 61499 Research, Technology Evaluation, and Standartization - 18 Years of Experience with Eclipse 4diac

Bianca Wiesmayr - JKU

Effective Engineering Practices for IEC 61499: Bridging Theory and Implementation

Federico Fumagalli - J&W

Vendor-Agnostic Commissioning - CloViC

Mikhail Kolesnikov - CloViC

Combining Event-Based Control with IEC 61499: A novel approach to industrial automation

Oscar Miguel Escrig – University Jaume I

Cyberphysical Systems with the IEC 61499 standard: A modular framework for Plug & Produce production

Pascal Pesendorfer - Schneider Electric

Enabling Plug & Produce and Low-Code Engineering with IEC 61499 and Schneider Electric’s EcoStruxure Automation Expert Platform

Hilmo Dzafic - Schneider Electric

IEC 61499 at Kongsberg Maritime

Merethe Gotaas & Corrine Ralston - Kongsberg Maritime

Workshop 4

WS04 - 7th DIVERSE: Advanced Technologies in Vehicular Systems

Contract-Based Resource-Aware Orchestration

Dakshina Dasari, Corporate Research, Robert Bosch GmBH, Germany

Product Cybersecurity

Elena Lisova, Volvo Construction Equipment, Sweden

Applying Cybersecurity within Loader Cranes Control Systems

Hans Lyngbäck, HIAB, Sweden

Incremental and ResilientTime-Aware Shaper Configuration for TSN

Rafik Henia, Thales, France

Combining Model Checking and Network Calculus for a Tighter WCTT Analysis of Real-Time Switched Ethernet Networks

Jean-Luc Scharbarg, University of Toulous, France

TSN-5G Integration for Real-Time Remote Vehicle Control: Challenges and Implementation

Zenepe Satka, Mälardalen University, Sweden

CAN XL: From Inception to Cutting-Edge Standardization

Gianluca Cena, National Research Council of Italy

Bringing Model-Driven Software Architectures and Formal Analysis Together: The Rubus Approach

John Lundbäck, Arcticus System, Sweden

Logical Execution Time (LET) Task Chains: Analysis, Optimization and RTOS Support

Matthias Becker, KTH Royal Institute of Technology, Sweden

Taming the Complexity Beast: Is Our toobox Rich Enough?

Mischa Möstl, Technische Universität Braunschweig, Germany

FPGA-based Acceleration for Next Generation Autonomous Vehicles

Gianluca Brilli, University of Modena and Reggio Emilia, Italy

Workshop 6

WS06 - How to make collaborative robots more collaborative for real environments

Overview of ROBOTA-SUDOE project

Tânia Mendes, CENTIMFE

Automation in fruit industry and computer vision in fruit handling

Filipe Costa, Cerfundão; Rodrigo Antunes, UBI

Self-sensing soft grippers with TPU

Luan Lang, UBI

Automation and perception and control of collaborative robots in the toy sector

Diego Sánchez, AIJU and integrator at JUEMA

Automation in the meat use-case and learning by demonstration in meat+toy Sectors

Antía Vázquez, CeTeCa; Saltanat Seitzhan, USC

Force control for human assistance in industrial applications

Alexis Babut, CA INP

Robot technologies in the meat Industry

Franck Stephan, ADIV

Force control for human rehabilitation

Carlos Alberto Jara Bravo, HURO-UA

Towards robotics footwear and textile remanufacturing

José Francisco Gómez,INESCOP-REMAIN

Full Conference Program

It will update soon!