The Scientific Coffee Break is an informal discussion platform for doctoral students, focusing on key research topics to better prepare them for the scientific process. This session encourages knowledge exchange, critical thinking, and peer support, helping students navigate their doctoral journey with confidence.

The increasing integration of information technology into all industries is changing machines, processes and affecting workplace safety. The share of electronic components and software in production systems is constantly growing. Progress in the global connectivity of industrial systems brings with it the challenge of collecting, storing and analysing data. Increased digital connectivity requires continuous investment in the latest tools, hardware and innovative strategies to protect networks from cyber attacks. The topic of this lecture is safety in research, testing, implementation and application of Industry 4.0 technologies.

Concept mapping is a powerful method for visually organizing and representing knowledge. This presentation discusses how concept maps can be automatically extracted from semantic hypergraphs using a series of simple rules. A semantic hypergraph’s recursive structure allows for the representation of both concepts and their relationships, which can then be converted into triples (subject, predicate, object) to form a concept map.

It is demonstrated how semantic hypergraphs, built from text using basic NLP techniques like dependency parsing, semantic role labeling, and coreference resolution, can be transformed into concept maps by identifying key concepts and their relationships. The process of transforming a semantic hypergraph into a concept map involves three main steps: identification, classification, and aggregation. During identification, candidate semantic hyperedges are selected; in classification, the subject and object of triples are determined; and in aggregation, hyperedge components are combined to generate a unified triple. The final step involves visualizing the concept map, where triples are depicted as nodes connected by links.

It is shown through examples how this process works, focusing on transforming sentences into concept maps at various levels of detail. Additionally, concept maps generated by the system are compared with human-generated maps, and the effectiveness of simplification rules for reducing complexity is analyzed.

Medical image analysis plays a crucial role in the interpretation and processing of medical images to support diagnosis, treatment, and research. Continuous advancements in machine learning have significantly improved the accuracy and efficiency of this field. Despite substantial improvements, numerous challenges still remain. This presentation will provide insight into the latest achievements in medical image analysis, with a focus on machine learning methods, while also addressing existing challenges and future research directions.

This track focuses on the integration of cutting-edge technologies into educational settings. Topics include Artificial Intelligence in Education, Robotics, Augmented and Virtual Reality, Intelligent Tutoring Systems, and more.

This track explores various applications of AI across different sectors, encompassing areas such as Computer Vision, Natural Language Processing, Reinforcement Learning, and Ethical AI Systems.

This track focuses on the integration of cutting-edge technologies into educational settings. Topics include Artificial Intelligence in Education, Robotics, Augmented and Virtual Reality, Intelligent Tutoring Systems, and more.

This track explores various applications of AI across different sectors, encompassing areas such as Computer Vision, Natural Language Processing, Reinforcement Learning, and Ethical AI Systems.

Join us for the Professional Track – Smart Campus Edition, a dedicated session focused on the development and realization of the Smart Campus initiative. This event brings together university stakeholders, industry partners, and technology experts to showcase collaborative efforts, share insights, and discuss the roadmap toward a more connected, data-driven, and sustainable campus environment.

Participants will gain a behind-the-scenes look at how the Smart Campus vision is being implemented through strategic partnerships, innovative technologies, and real-world applications. Topics will include infrastructure integration, IoT deployment, data analytics, and enhancing the student experience through smart solutions.

A relaxed and informal lunch will be organized at Romansa, a scenic restaurant located just outside Mostar, surrounded by vineyards and the peaceful Herzegovinian countryside.

Away from the city's bustle, this charming venue offers the perfect setting to unwind, connect with colleagues, and enjoy traditional local cuisine paired with high-quality wines from the region. The natural surroundings and the rustic elegance of Romansa create a warm and welcoming atmosphere, making it an ideal place for casual socializing and networking after a day of exploration.