24-27 June, 2025
Thessaloniki | Greece
24-27 June, 2025
Thessaloniki | Greece
The European Control Conference offers pre-conference workshops addressing current and future topics in control systems from experts from academia, research institutes, and industry. Pre-conference workshops cover material or use presentation formats that are not found within the main conference to increase the interest for the event, enhance interaction and discussion amongst participants, and make useful connections to fields outside of control.
ECC25 workshops will be held at the conference venue June 24th, 2025 (full day), the day before the official opening of the conference. Advanced registration for pre-conference workshops can be done online via the conference registration system.
Please note that you can register for only one workshop, since all workshops take place simultaneously.Recordings of workshops will not normally be made. Information about the costs of attending a pre-conference workshop and how to register is available on the conference registration page.
The following workshops are hosted at ECC25:
ECC25 will host the following seven workshops.
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- Algorithmic Fairness: Addressing Biases and Inequalities in Data-Driven Decision Making
- Leveraging Sparsity in Control: Recent Trends and Opportunities
- Reinforcement Learning for Robotic Control: Recent Developments and Open Challenges
- Systems Theory of Optimization, Learning, and Control Algorithms
- Safe Control and Learning in Autonomous Systems
- Control and Resilience Mechanisms for Cyber-Physical-Human-Systems
- Certified Control Synthesis for Robotic Systems
Algorithmic Fairness: Addressing Biases and Inequalities in Data-Driven Decision Making
Date & Time:
Tuesday, June 24th
8:45-15:10
Location:
Building M2
Room Cr2
Organizers:
Giulia De Pasquale
Valentina Breschi
Florian Dörfler
Abstract:
In an increasingly data-driven world, algorithms inform critical decisions in healthcare, hiring, criminal justice, and education. However, these systems are often affected by biases that reflect and amplify societal inequalities, posing significant ethical, legal, and social challenges. This one-day workshop on algorithmic fairness covers selected topics related to the principles, techniques, and controversies surrounding the development of equitable algorithms. Participants will explore key topics, including fairness metrics, bias detection and mitigation strategies, and the trade-offs between fairness, efficiency, and transparency.
Program:
The detailed program of the workshop is available here.
Leveraging Sparsity in Control: Recent Trends and Opportunities
Date & Time:
Tuesday, June 24th
9:00-12:30
Location:
Building M2
Room Cr3
Organizers:
Luca Ballotta
Geethu Joseph
Abstract:
Sparsity-driven methods, influenced by compressed sensing, have gained recent attention in systems and control owing to resource constraints and underlying physical systems. Examples are sparse control design, sparse input estimation, and structured system identification. Sparse solutions bring several advantages compared to conventional non-sparse solutions. For example, they extend the lifespan of network batteries, reduce hazardous emissions (CO/CO2) and vibrations, and facilitate meeting bandwidth requirements in networked systems. However, introducing sparse ideology requires tailored design algorithms and novel mathematical tools for performance analysis. This workshop showcases the latest advances and addresses new challenges in the field, from actuator scheduling to distributed MPC with sparse communication, to optimization hierarchies for stability analysis.
Program:
The detailed program of the workshop is available here.
Reinforcement Learning for Robotic Control: Recent Developments and Open Challenges
Date & Time:
Tuesday, June 24th
9:00-15:00
Location:
Building M2
Museum Hall
Organizers:
Luca Ballotta
Alberto Dalla Libera
Ruggero Carli
Diego Romeres
Abstract:
Reinforcement learning has recently emerged as a powerful tool in robotics. The workshop explores the latest results on using reinforcement learning for control of robots from the perspective of an outstanding lineup of international speakers. Both methodological research – decentralized and distributed multi-robot control, multi-agent reinforcement learning, safe and adaptive reinforcement learning, formal guarantees of (deep) learning-based policies – and applications – control of UAVs, autonomous cars, and robotic manipulators – will be discussed, as well as the open challenges to be tackled over the next years.
Program:
The detailed program of the workshop is available here.
Systems Theory of Optimization, Learning, and Control Algorithms
Date & Time:
Tuesday, June 24th
9:00-17:00
Location:
Building M2
MOYSA Hall
Organizers:
Giuseppe Belgioioso
Saverio Bolognani
Ruggero Carli
Ivano Notarnicola
Guido Carnevale
Florian Dörfler
Giuseppe Notarstefano
Abstract:
This workshop explores the effective application of systems theory tools in the analysis and design of modern computational strategies in learning, optimization, and control. The discussion will focus on two main themes, connected via the systems theory perspective:
1) The analysis and design of algorithms using systems theory,
2) Real-time algorithms in feedback loop with the world.
We will also outline open problems and fresh future research directions in these two domains using tools from systems theory.
Program:
The detailed program of the workshop is available here.
Safe Control and Learning in Autonomous Systems
Date & Time:
Tuesday, June 24th
9:00-17:00
Location:
Building M2
Library Hall
Organizers:
Naira Hovakimyan
Pan Zhao
Astghik Hakobyan
Tigran Bakaryan
Abstract:
Autonomous systems are rapidly gaining traction across safety-critical domains such as transportation (both in the air and on the ground), logistics, healthcare, and space exploration. However, ensuring their safe, efficient, and reliable operation remains a significant challenge, especially in dynamic, uncertain, and adversarial environments. Addressing these challenges requires a synergistic integration of dynamical systems and control theory, machine learning, and optimization techniques. This workshop will explore the latest advancements in control and learning strategies for autonomous systems, with a focus on ensuring safety and robustness in autonomous systems. Key topics include but
are not limited to:
• Safety-critical control for autonomous systems;
• Safe and robust learning in dynamic and uncertain environments;
• Formal methods for learning and control;
• Decentralized decision-making, control, and learning for multi-agent autonomous systems;
• Applications in robotics, autonomous vehicles, aerospace, and beyond.
By bringing together experts from control theory, machine learning, robotics, and game theory, this workshop aims to bridge the gap between theoretical advancements and practical implementations. Through invited talks and interactive discussions, we will foster a deeper understanding of safety-critical learning and control methodologies for autonomous and multi-agent systems. This workshop will provide a platform for researchers and practitioners to exchange ideas, identify open challenges, and explore future directions in this rapidly evolving field.
Program:
The detailed program of the workshop is available here.
Control and Resilience Mechanisms for Cyber-Physical-Human-Systems
Date & Time:
Tuesday, June 24
9:00-17:15
Location:
Building M2
Cr1
Organizers:
Michelle Chong
M. Umar
B. Niazi
Amr Alanwar
Abstract:
Cyber-physical-human systems (CPHS) form the backbone of modern infrastructure, from power systems and transportation networks to advanced robotics and manufacturing facilities. This workshop brings together leading experts working in the area of CPHS resilience and control to present their latest research findings and methodologies. The speakers will explore several key themes, including incentive-based control of CPHS, resilience mechanisms for CPHS, human-in-the-loop modeling and control, and safety considerations in CPHS. Through expert talks and interactive discussions, attendees will learn about state-of-the-art approaches for building resilient CPHS and understanding evolving threat landscapes. This workshop serves a dual purpose: to provide attendees with a comprehensive overview of recent advances in CPHS resilience and security, and to facilitate discussions among experts to identify emerging challenges and promising research directions in this rapidly evolving field.
Program:
The detailed program of the workshop is available here.
Certified Control Synthesis for Robotic Systems
Date & Time:
Tuesday, June 24th
08:45-17:30
Location:
Building M2
Saltiel Hall
Organizers:
Elena Vanneaux
Fares Abu-Dakka
Siyuan Liu
Abdalla Swikir
Abstract:
Ensuring robotic systems’ safety, stability, and performance in dynamic and uncertain environments is a critical challenge in modern robotics. Certified control synthesis provides a principled framework to address these challenges by integrating formal methods, control theory, and machine learning to derive controllers with rigorous guarantees. This workshop will bring together researchers and industrials to explore cutting-edge techniques for synthesizing certified controllers, with applications spanning autonomous vehicles, robotic manipulators, and human-robot interaction systems.
Participants will explore the theoretical foundations and practical applications of certified control synthesis, including control barrier functions, reachability analysis, and compositional design. Through case studies, poster sessions, and discussions, attendees will gain tools to apply these methods in their work. Targeted at researchers, engineers, and students, the workshop fosters collaboration to advance adaptive and certifiably safe robotic systems.
Program:
The detailed program of the workshop is available here.