Workshops
The purpose of workshops is to provide a more interactive and focused platform for presenting and discussing new and emerging ideas. The format of paper presentations may include oral presentations, poster presentations, keynote lectures and panels. Depending on the number of presentations, workshops can be scheduled for 1 day or 2 days. All accepted papers will be published in a special section of the conference proceedings book, under an ISBN reference, and on digital support. All papers presented at the conference venue will be available at the SCITEPRESS Digital Library. SCITEPRESS is a member of CrossRef and every paper is given a DOI (Digital Object Identifier). The proceedings are submitted for indexation by SCOPUS, Google Scholar, DBLP, Semantic Scholar, EI and Web of Science / Conference Proceedings Citation Index.
WORKSHOPS LIST
QAIO 2027, Workshop on Quantum Artificial Intelligence and Optimization
Chair(s): Michael Kölle, Jonas Stein and Tobias Rohe
DTT 2027, Workshop on Digital Twin Technology
Chair(s): Yasushi Kambayashi
LAIS 2027, The Second Workshop on Lightweight AI-based Services
Chair(s): Afef Mdhaffar and Bernd Freisleben
CyberAIS 2027, Workshop on Artificial Intelligence and Agentic Systems for Cybersecurity
Chair(s): Slim Rekhis and Nejla Essaddi
Workshop on
Quantum Artificial Intelligence and Optimization -
QAIO
2027
Paper Submission:
December 3, 2026
Authors Notification:
December 21, 2026
Camera Ready and Registration:
January 8, 2027
Scope
Our workshop, "Quantum Artificial Intelligence and Optimization," is designed as a collaborative bridge between classical artificial intelligence (AI) and emerging quantum computing technologies. It aims to facilitate knowledge transfer and synergistic exploration among AI experts and quantum computing pioneers. This session will delve into how quantum computing can revolutionize AI through enhanced optimization algorithms, quantum machine learning models, and the seamless integration of quantum and classical computing techniques. Participants will engage in discussions on theoretical foundations, practical applications, and the development of hybrid systems that leverage the best of both worlds. By focusing on collaboration, this platform encourages the sharing of insights, challenges, and future directions, paving the way for breakthroughs in AI capabilities powered by quantum advancements.
Workshop on
Digital Twin Technology -
DTT
2027
Paper Submission:
December 3, 2026
Authors Notification:
December 21, 2026
Camera Ready and Registration:
January 8, 2027
Scope
Digital twin technology integrates the physical and digital worlds to accurately represent real-world systems, predict future conditions, and support optimal decision-making. This workshop promotes collaboration among researchers in artificial intelligence, mathematical modeling, and data assimilation to advance predictive analytics and intelligent decision support. The program focuses on three core themes: Pattern Recognition and Prediction, Physics-Based Modeling and Numerical Analysis, and Data Assimilation and Multimodal Data Integration. By bringing together scientists and practitioners from diverse disciplines, the workshop aims to deepen understanding of the fundamental technologies underpinning next-generation digital twins. It also provides a forum for exchanging ideas, addressing current challenges, and exploring future research directions, thereby fostering innovation and progress in this rapidly evolving field and its applications.
The Second Workshop on
Lightweight AI-based Services -
LAIS
2027
Paper Submission:
December 3, 2026
Authors Notification:
December 21, 2026
Camera Ready and Registration:
January 8, 2027
Scope
Artificial Intelligence (AI) services increasingly rely on deep learning models with substantial computational and memory requirements, making deployment challenging on resource-constrained edge and IoT devices. The Second Workshop on Lightweight AI-based Services (LAIS) brings together researchers and practitioners from AI, service computing, edge computing, and embedded systems to explore methods for designing, optimizing, deploying, and operating efficient AI services. The workshop covers model compression, quantization, pruning, knowledge distillation, neural architecture search, efficient inference, and resource-aware deployment. It also welcomes lightweight AI applications in healthcare, environmental monitoring, smart farming, and smart environments. LAIS further encourages research on privacy, security, sustainability, and ethical issues arising from deploying intelligent services on resource-constrained devices, while fostering collaboration and exchange across research communities and industry.
Workshop on
Artificial Intelligence and Agentic Systems for Cybersecurity -
CyberAIS
2027
Paper Submission:
December 3, 2026
Authors Notification:
December 21, 2026
Camera Ready and Registration:
January 8, 2027
Scope
CyberAIS brings together researchers, engineers, and practitioners working on artificial intelligence and agentic systems for cybersecurity. The workshop focuses on AI-driven threat detection, security analysis, and autonomous cyber defense, covering the progression from intrusion detection and threat intelligence to security reasoning, digital forensic investigation, SOC automation, and coordinated incident response.
It welcomes research on machine learning, deep learning, large language models, reinforcement learning, and agentic and multi-agent systems, with particular emphasis on their application to intelligent security operations, adaptive defense, and automated decision-making. CyberAIS also addresses the security, robustness, explainability, and trustworthiness of AI-based defense solutions, including the challenges of deploying autonomous security agents safely and reliably.
The workshop welcomes original research contributions presenting novel methods, models, algorithms, architectures, and frameworks, as well as prototypes, datasets, benchmarks, and experimental studies that advance AI-driven cybersecurity and agentic cyber defense.
Application areas include enterprise networks, cloud and edge infrastructures, IoT and Industrial IoT (IIoT), 5G/6G networks, non-terrestrial networks (NTNs) and satellite communications, cyber-physical systems and critical infrastructures (including ICS/SCADA), connected and autonomous vehicles (IoV), unmanned aerial vehicles (UAVs), and healthcare systems (e-health/IoMT). Contributions addressing these environments are particularly encouraged when they advance AI-driven threat detection, security analysis, or autonomous cyber defense.
CyberAIS aims to foster collaboration between the AI and cybersecurity research communities across academia and industry.