Registration will take place in the Atrium of the Complesso Beato Pellegrino, coming from the entrance of Via Vendramini 13, Padova

Workshop Organized by

Thomas Kuhn, Fraunhofer Institute IESE, Kaiserslautern, Germany and Pablo Oliveira Antonino, Fraunhofer Institute IESE, Kaiserslautern, Germany and Daniel Porta, German Research Center for Artificial Intelligence (DFKI), Germany and Frank Schnicke, Fraunhofer Institute IESE, Kaiserslautern, Germany and Sten Grüner, ABB AG Corporate Research Center, Germany

Workshop Organized by

Thomas Kuhn, Fraunhofer Institute IESE, Kaiserslautern, Germany and Pablo Oliveira Antonino, Fraunhofer Institute IESE, Kaiserslautern, Germany and Daniel Porta, German Research Center for Artificial Intelligence (DFKI), Germany and Frank Schnicke, Fraunhofer Institute IESE, Kaiserslautern, Germany and Sten Grüner, ABB AG Corporate Research Center, Germany

Workshop Organized by

Thomas Kuhn, Fraunhofer Institute IESE, Kaiserslautern, Germany and Pablo Oliveira Antonino, Fraunhofer Institute IESE, Kaiserslautern, Germany and Daniel Porta, German Research Center for Artificial Intelligence (DFKI), Germany and Frank Schnicke, Fraunhofer Institute IESE, Kaiserslautern, Germany and Sten Grüner, ABB AG Corporate Research Center, Germany

Workshop Organized by

Virendra Ashiwal, ABB Corporate Research Center, Germany and Bianca Wiesmayr, Johannes Kepler University Linz, Austria and Inna Arkhipova, UniversalAutomation.Org, Austria

Panel Discussion

• Franco Cavadini, Gr3n SA, Switzerland


• Polina Ovsiannikova, Aalto University, Finland


• Valeriy Vyatkin, Aalto University, Finland and Luleå University of Technology, Sweden


• Wenbin (William) Dai, Shanghai Jiao Tong University, China


• Jörg Walter, OFFIS - Institut für Informatik, Oldenburg, Germany

Workshop Organized by

Stefano Savazzi, CNR, Italy and Alessio Prini, CNR STIIMA, Italy and Daniele Piazza, Adant, Italy and Stephan Sigg, Aalto University, Finland

Invited Presentation

Ugo Bertacchini, Inxpect S.p.A, Brescia, Italy (https://www.inxpect.com/en/)

Safety certified radar sensors for industrial applications

Workshop Organized by

Saad Mubeen, Mälardalen University, Sweden and Mohammad Ashjaei, Mälardalen University, Sweden

Invited Presentations

• Sara Afshar, Volvo Construction Equipment, Sweden
  
  Smart Construction Industry


• Rafik Henia, Thales, France
  
  Towards onboard dynamic reconfiguration of TSN real-time network


• Dakshina Dasari, Corporate Research, Robert Bosch GmBH, Germany
  
  Silverline: An Orchestration Framework for Distributed Real-time systems


• Hans Lyngbäck, HIAB, Sweden
  
  Overview and challenges in the development of software platforms and applications in the loader cranes segment


• John Lundbäck, Arcticus System, Sweden
  
  Model-driven Vehicle Software Architectures & Timing Analysis using the Rubus Approach

Workshop Organized by

Saad Mubeen, Mälardalen University, Sweden and Mohammad Ashjaei, Mälardalen University, Sweden

Invited Presentations

• Ali Balador, Ericsson, Sweden
  
  Computation offloading in Edge and cloud environment


• Rolf Ernst, Technical University of Braunschweig, Germany
  
  Managing large dynamic real-time data in vehicles and beyond


• Jean-Luc Scharbarg, University of Toulouse, France
  
  On precision and robustness of IEEE802.1AS synchronization in TSN networks


• Matthias Becker, KTH Royal Institute of Technology, Sweden
  
  Guaranteeing Pro-Active and Reactive Safety in intersections through resource management at the Edge.


• Zenepe Satka, Mälardalen University, Sweden
  
  Towards Seamless Connectivity: Exploring the Future of Real-Time Networks through TSN and 5G Integration


• Saad Mubeen and Mohammad Ashjaei Mälardalen University, Sweden
  
  DESTINE: Developing Predictable Vehicle Software Utilizing Time Sensitive Networking

Panel Discussion

Workshop Organized by

Marc Boyer, Onera, France and Silviu Craciunas, TTTech, Austria

Invited Presentations

• Quentin Bailleul, IRT Saint Exupery
  
  TSN for critical systems: feedback from the multi-industry project EDEN


• Jörn Migge, RealTime-at-Work
  
  Ten years of supporting customers in TSN configuration


• Alexander Damisch, TTTech
  
  TSN beyond the hype-cycle. Challenging Software Defined Networking use cases in the OT space


• Lukas Osswald, Tubingen University
  
  Traffic Scheduling with the TAS: Past Research and Future Directions

Workshop Organized by

Marc Boyer, Onera, France and Silviu Craciunas, TTTech, Austria

Invited Presentations

• Mohammad Ashjaei, Mälardalen University, Sweden
  
  Advancing TSN Modeling and Analysis to Software and System Development Abstraction"


• Luxi Zhao, Beihang University
  
  Challenges of Deadline-Aware Configurations for Hybrid TSN Networks


• Lisa Maile, TU Braunschweig, Germany
  
  Decentralized Resource Reservation for Real-Time Communication in TSN


• Marc Boyer, ONERA, France
  
  PSFP: opportunities, limits and open questions


• Federico Tramarin, University of Modena and Reggio Emilia, Italy
  
  Time Sensitive Networking for future enabling technologies: measurement methods and metrological characterization in hybrid wired/wireless scenarios

Workshop Organized by

Nicola Berti, University of Padova, Italy and Marco Faroni, Politecnico di Milano, Italy and Mattia Guidolin, University of Padova, Italy and Cesare Tonola, University of Brescia, Italy

1st Industry Forum Tech Session

Deterministic and real-time computing and communications for industrial systems (including applications of digital twin, AI, extended reality in industrial systems)

• Hamza Chahed, Intel
  
  TSN in Heterogenous networks


• Yu Liu, Ericsson Research, Sweden
  
  Towards co-design for cloud-native enabled scalable robotics in a device-cloud continuum


• Gilberto Pin, Electrolux Italia S.p.A., Italy
  
  Nonlinear and adaptive add-ons for high-performance control of electric motor drives: a tale of jitter compensation


• Zhibo Pang, ABB
  
  Functional safety over deterministic wireless networks

Industry / Academy Panel

Advancing Collaboration and Ecosystems enabling Industrial Transformations

Panelist Introductions (10 min each)

• Hamza Chahed


• Zhibo Pang


• Alessandro Beghi (moderator)

Workshop Organized by

Virendra Ashiwal, ABB Corporate Research Center, Germany and Bianca Wiesmayr, Johannes Kepler University Linz, Austria and Inna Arkhipova, UniversalAutomation.Org, Austria

Invited Presentations

• Opening by the organizers


• Franco Cavadini, Gr3n SA, Switzerland
  
  Keynote featuring a use case: IEC 61499 as the foundation of new automation and control design principles

Workshop Organized by

Virendra Ashiwal, ABB Corporate Research Center, Germany and Bianca Wiesmayr, Johannes Kepler University Linz, Austria and Inna Arkhipova, UniversalAutomation.Org, Austria

Invited Presentations

• Polina Ovsiannikova, Aalto University, Finland
  
  Automation of processes in a smart vertical farm using IEC 61499


• Valeriy Vyatkin, Aalto University, Finland and Luleå University of Technology, Sweden
  
  Dynamicity and IEC 61499


• Wenbin (William) Dai, Shanghai Jiao Tong University, China
  
  The Cloud-Edge Collaborated Virtualized Next Generation Industrial Automation Systems based on IEC 61499


• Jörg Walter, OFFIS - Institut für Informatik, Oldenburg, Germany
  
  Embracing heterogeneity: Using IEC 61499 to tailor your distributed control system for development efficiency, processing speed, compute power, and legacy compatibility

Workshop Organized by

Nicola Berti, University of Padova, Italy and Marco Faroni, Politecnico di Milano, Italy and Mattia Guidolin, University of Padova, Italy and Cesare Tonola, University of Brescia, Italy

Invited Presentation

Nicola Pedrocchi, CNR-STIIMA, Italy
Human Intention Modelling to increase trustworthiness in human robot physical interaction

Mathieu Worm, Siemens

The Industrial Metaverse, more real than real

The Industrial Metaverse could be perceived as a buzzword but can equally be seen as the logical next chapter in industrial digitalization. Realizing a space to collaborate and interact with the Digital Twin, supports democratization of complex technology, enabling fast decision-making in engineering and operational challenges. It requires interoperability of heterogeneous virtual models, connectivity to real-world assets and AI for accelerated decision-making. In this talk, Matthieu Worm will present recent advancements in immersive, collaborative and interactive technology, enriching the Digital Twin as we know it.

About Matthieu Worm

Matthieu Worm is the technical lead in the Technology Field for Simulation & Digital Twin in Siemens Technology since 2021. He drives consistency and coherency in Siemens’ research and technology roadmap to shape the Industrial Metaverse. He joined Siemens Digital Industries Software in 2016 to develop the simulation and test solutions strategy for the domain of autonomous vehicle development. Before working at Siemens, he was engineering manager at Moog, developing high-end driving simulators and automotive test equipment. Matthieu started his working career at Toyota Motor Europe as vehicle safety engineer. He earned a master’s degree in Industrial Design Engineering at Delft University of Technology and completed an MBA at Antwerp Management School.

2nd Industry Forum Tech Session - New frontiers of Industrial wireless communication

• Stefan Svensson, Hetronic
  
  Challenges in wireless control


• Xianjun Jiao, IDLab, imec and Gent university
  
  Openwifi: empowering industrial wireless communication by open chip design


• Frank Burkhardt, Fraunhofer Institute
  
  Wireless subnetworks and their enablers


• Pietro Giardina, Nextworks
  
  Bringing determinism in private mobile networks for Industry 5.0 scenarios: opportunities and challenges

Keynote by Prof. Giovanni Cherubini

Industry Trends of AI: Opportunities and Challenges

The exponential data growth we are witnessing is in large part determined by the emergence of AI-powered big data analytics and Internet of Things. The increasing demand for real-time insights and decision-making support tools drives the development of AI-based analytics platforms that can process large volumes of data in near real time. Furthermore, bridging AI with IoT is a natural option to unleash the data on low-cost and low-power IoT devices, thus boosting many novel applications and services with impressive performance. In this keynote presentation, the challenges that are posed by AI to data storage will be addressed first, with reference to technologies that deliver extreme capacity for highly-scalable, automated data retention. Then the optimization of multi-tier storage systems by reinforcement learning will be discussed. As examples of AI systems that heavily rely on high-capacity storage, deep learning-based recommenders and retrieval-augmented generation for knowledge injection in large language models will be reviewed. Finally, the end-to-end optimization of data allocation in AI-enhanced edge-cloud networks will be considered, where actions are already taken at the edge, thus promoting edge caching and edge intelligence.

About Prof. Giovanni Cherubini

Giovanni Cherubini received the Laurea degree, summa cum laude, in 1981 from the University of Padova, Italy, and the M.Sc. and Ph.D. degrees in 1984 and 1986, respectively, from the University of California at San Diego, USA, all in Electrical Engineering. In 1987, he joined the IBM Research Laboratory in Zurich, Switzerland. Since 2023, he is Chief Expert for high-capacity data storage systems at the Huawei Research Center in Zurich. Dr. Cherubini has fostered and managed innovation in several groundbreaking projects in the areas of AI, data storage, control systems, and communication systems.

He is a Life Fellow of the Institute of Electrical and Electronics Engineers (IEEE), a Fellow of the International Federation of Automatic Control (IFAC), a Fellow of the Asia-Pacific Artificial Intelligence Association (AAIA), and a former IBM Master Inventor. Among other recognitions, he received the 2021 IEEE Control Systems Society Transition to Practice Award for inventing and developing advanced control technologies for magnetic tape data storage products. His current interests include advanced cloud storage technologies, neuromorphic computing, and in-memory high-dimensional computing for AI applications.

Clara Otero Perez, Senior Director of System Innovations at NXP Semiconductors

Title: Choose to Challenge

Abstract: Creating a more inclusive and diverse culture boils down to everyday moments where we choose to challenge ourselves, situations, and cultural bias. Clara draws on her 15 years of experience promoting DE&I to share her insights on this topic.

Chiara Masiero, Data Scientist | Lead R&D Scientist at Statwolf

Title: Bridging the Gap: Women in Data Science and the Future of AI

Abstract: Women\'s contributions are crucial to making AI an instrument of progress and challenging perpetuated stereotypes. Chiara is a data scientist and one of the women and young professionals playing key roles in advancing diversity, fairness, and challenging stereotypes in AI.

Round Table

Roberto Oboe

Università degli Studi di Padova, Italy

IES AdCom Senior Member

Silvana Badaloni

Università degli Studi di Padova, Italy

Board Member of the Italian Association Women & Science and of the EPWS – European Platform of Women Scientists

Keynote by Dr. Clara Otero Perez

Engineering the Car of the Future in an Evolving Ecosystem

The automotive industry ecosystem is undergoing a transformation. The supply crisis has had a significant impact – changing and expanding responsibilities of ecosystem players. At the same time, the shift towards software-defined and electric vehicles has created both opportunities and challenges for automakers. One thing is clear - engineering the car of the future will require collaboration and a new way of thinking. Moving from individual components to scalable system solutions can help optimize resources and accelerate innovation. Join Clara Otero as she shares insights on how the ecosystem evolution is helping shape the future of mobility.

About Dr. Clara Otero Perez

Clara has over 25 years of experience in the automotive semiconductor industry, from complex SoCs and software for digital TVs, to wireless payments in mobile phones and radar system for cars. Shortly after she graduated with a Master of Science in Physics by the University of Santiago de Compostela she started working as research scientist at Philips Research Labs in Eindhoven and later continued growing her career at NXP in various leading R&D roles.

Clara was a key driver behind NXP’s company-wide system strategy envisioning, developing and releasing a broad set of automotive system innovations for Electric, Connected and Safe vehicles. Most recently she took over the role as Sr. Director of System Marketing, focusing on software defined electric vehicles closely collaborating with customers to address electrification challenges, increasing efficiency and reuse, extending battery range and lifetime in a safe and secure way. Next to her technical leadership, she has held roles for the Eindhoven Site Management and as a Board Member for NXP’s European Women’s Leadership team.