International Workshop on Advanced Control in Smart Grid
ACSG 2025
Ioana Fagarasan, Professor, UNSTPB – Faculty of Automatic Control and Computers, Romania
Stephane Ploix, Professor, Univ. Grenoble Alpes, France
ACSG Description
The workshop will serve as a forum to discuss issues and effective strategies for modernization of control approaches in the power system industry landscape due to the advent of information and communication technology and the emergence of renewable and distributed energy resources introduced in the smart grid development. It will include an emphasis on advanced distribution management systems, the integration of distributed energy resources, and the required approaches for integration of storage units, electrical vehicles, or smart buildings.
ACSG 2025 is an interdisciplinary workshop that aims to bring together researchers from academia, students and industry professionals from Energy, Engineering, Computer Science, Mathematics and Energy Policy/Regulation. Professionals will interact and exchange novel ideas about all aspects adopted in the field of Smart grids considering super to micro grid scales, Power, and Advanced Control Engineering.
TOPICS:
The workshop seeks original contributions in all relevant areas, including but not limited to the following:
- Renewable energy sources control with applications in smart grid integration, fault detection and protection systems
- Control of distributed renewable energy storage
- Demand side management and demand response
- Smart home/building energy management
- Electric vehicle management
- Energy harvesting control
- Smart grid communication and networking
- Smart metering
- Internet of Things and its applications in smart grid
- Big data for smart grid
- Cloud computing for smart grid
- Smart grid optimization
- Cyber-power system modeling
- Smart grid cyber security
- Microgrid control
- Autonomous smart grid of the future
International Workshop on Applications of Moving Target Defense
AMTD 2025
Jean-Philippe Wary, Security Researcher, Orange Labs, France
Mihai-Iulian Plesa, Security Researcher, Orange Services, Romania
AMTD Description
Moving Target Defense (MTD) is increasingly recognized as an effective strategy to protect systems against diverse threats. Initially developed as a security approach for networks, recent research has uncovered a wide range of applications for this philosophy. These include enhancing the cryptanalysis resistance of symmetric ciphers, mitigating side-channel attacks, and, more recently, designing protocols for privacy-preserving machine learning.
This workshop aims to bring together researchers working in the field of MTD to share innovative ideas, foster collaboration, and identify emerging directions in this evolving domain. The workshop will focus on five key topics:
- Artificial Intelligence
- Machine Learning
- Cyber Security
- Cryptography and Blockchain
- System Software
International Workshop on Cyber Security and Resilience of Large-Scale Distributed Systems
CSR-LSDS 2025
Bogdan Mocanu, National University of Sciences and Technology POLITEHNICA Bucharest, Romania
Massimo Ficco, Università degli Studi di Salerno, Italy
CSR-LSDS Description
The emerging trend of pushing the network capabilities to the application layer through state-of-the-art tehnologies such as Named Data Networking (NDN), Software-Defined Networking (SDN), and Network Function Virtualization (NFV), along with continuum computational models such as Mobile-Cloud-Computing (MCC) and Cloud-Edge-Continuum (CEC) is reshaping fast the cybersecurity landscape. While these innovations enhance efficiency and scalability of modern distributed systems, they also introduce significant security challenges, including new attack surfaces, the need for complex serverless trust models, and vulnerabilities in decentralized architectures that we need to understand. Our main goal is to proactively rethink, redesign, and reshape modern large-scale distributed systems to face the challenges of cyber threats and remain resilient and sustainable. Addressing these security concerns requires a deep understanding of emerging threats, robust cryptographic solutions, resilient network protocols, and proactive defense mechanisms to ensure modern large-scale distributed systems’ integrity, availability, and trustworthiness.
This workshop will bring together students, Ph.D. students and postdocs, researchers, and professionals from both academia and industry that share a common interest in security challenges related to distributed systems.
Also, the workshop intends to present and discuss work-in-progress security-related research, challenges, and lessons learned, and also to enhance collaboration among the participants.
Topics of Interest
The research community will be invited to contribute with manuscripts on the following topics:
- Security of distributed systems;
- Security and dependability of cyber-physical and other real-time and embedded systems;
- Trust and reputation in distributed systems;
- Trust and identity management;
- SDN or NFV-based security functions and services;
- Secure and resilient design and deployment of open networking technologies;
- Security of software-defined infrastructures, protocols, and interfaces;
- Security challenges and trends for open networking technologies;
- Collaborative intrusion detection systems.
International Workshop on Interdisciplinary Applications of Artificial Intelligence
IAAI 2025
Ștefan Trăusan-Matu, National University for Science and Technology Politehnica Bucharest, Romania
Răzvan Rughiniș, National University for Science and Technology Politehnica Bucharest, Romania
Mihai Dascălu, National University for Science and Technology Politehnica Bucharest, Romania
Nicolae Nistor, Ludwig-Maximilians-Universität München, Germany
IAAI Description
The IA-AI workshop aims to bridge the gap between technical AI advancements and their practical applications across disciplines, with a focus on the intersection of computer science and engineering and social sciences. This workshop provides a platform for doctoral students and researchers to present innovative research, exchange ideas, and establish collaborations that extend AI beyond traditional boundaries.
Submissions are invited on topics including, but not limited to:
- Advanced AI techniques: deep learning, reinforcement learning, neural-symbolic integration
- Technical foundations: multimodal learning, distributed systems, edge computing
- Knowledge integration: multidisciplinary data fusion, knowledge representation
- Social computing: network analysis, computational social science, human-AI collaboration
- Social and ethical considerations: responsible AI development, social impact evaluation
- Healthcare applications: medical imaging, diagnosis, personalized medicine
- Computational biology: genomics, drug discovery, bioinformatics
- Environmental science: climate modeling, ecological prediction, precision agriculture
- Sustainable development: smart cities, resource optimization, circular economy
- Cross-disciplinary methodologies: explainable AI, fairness, privacy preservation
International Workshop on Smart Services for Edge and Cloud Computing
SSeCC 2025
Cătălin Negru, National University of Sciences and Technology POLITEHNICA Bucharest, Romania
Salvatore D’Antonio, University of Naples Parthenope, Italy
SSeCC Description
In today’s rapidly evolving digital landscape, the convergence of Edge, Mobile, and Cloud Computing has become a key enabler of modern efficient, and scalable distributed services across various domains. The increasing demand for real-time data processing and the need for low latency-oriented applications have driven a paradigm shift from traditional cloud-centric architectures to continuum models that leverage both cloud and edge resources, such as Cloud-Edge-Continuum. This workshop aims to explore innovative directions and approaches for designing, implementing, and reasoning about smart services in Edge and Cloud Computing environments. Edge Computing extends the capabilities of traditional Cloud Computing by decentralizing processing power, bringing computational resources closer to the source of data, and enabling faster decision-making. This is particularly relevant for applications in IoT, Industry 4.0, Smart Cities, Autonomous Systems, and Content Delivery Networks (CDNs), where real-time analytics and responsiveness are critical. A major goal of the workshop is to explore novel models, methods, and algorithms that enhance the scalability and performance of modern distributed computing systems.
This workshop will bring together students, Ph.D. students and postdocs, researchers, and professionals from both academia and industry that share a common interest in security challenges related to distributed systems.
Also, the workshop intends to present and discuss work-in-progress research, challenges, and lessons learned, and also to enhance collaboration among the participants.
Topics of Interest
The research community will be invited to contribute with manuscripts on the following topics:
- Agent-based systems for smart infrastructures;
- Cloud-Edge-Continuum systems;
- Smart-city applications;
- Scheduling in Cloud-Edge systems;
- Decision support systems in modern Cloud-Edge environments;
- Reliable and sustainable Autonomus Systems;