Keynotes ETLTC & ICETM 2024

Prof. Dr. Wolfgang Ziegler

Faculty of Information and Media Management, Karlsruhe University of Applied Sciences (HKA), GERMANY

Experiences from Industry-Academic Cooperation Projects on the Implementation of Semantic Correlation Rules in Technical Information Management


Semantic Correlation Rules (SCR) and knowledge graphs have been investigated in a number of academic projects as an industry-relevant use case for connecting various content delivery applications. Companies with different maturity levels of pre-existing content management, content delivery, and knowledge graph applications contributed data and corresponding systems for the development of an IT infrastructure as well as on graph methodologies as a logic layer for the interconnectivity of data sources. We report on the project experiences for academic teaching and consequences for industrial applications and their dependencies on metadata quality and modeling.

Prof. Dr. Peter Ilic

Senior Associate Professor, The University of Aizu, JAPAN

The Intersection of AI and Education: A Balanced Approach for the Future

As we approach a new phase characterized by remarkable developments in artificial intelligence (AI), it is crucial to acknowledge the reservations or doubts that educators may harbor regarding the incorporation of such technologies into educational settings. This keynote commences by identifying these apprehensions and exploring the transformative possibilities AI offers for educational structures globally.

The lecture scrutinizes the revolutionary impact of technology on education, underscoring the need for equilibrium in its utilization and offering an informed perspective on its future role. It focuses on cutting-edge technologies like the Generative Pre-trained Transformer AI, demonstrating their ability to reform teaching methodologies and improve educational experiences worldwide. The complex relationship between education, technology, and society is analyzed, especially in the context of the emergence of AI. The pressing requirement to comprehend the prospective implications of AI deployment in educational contexts is accentuated.

To conclude, the keynote outlines the intricate relationship between AI and education, offering a balanced viewpoint that acknowledges both the opportunities and challenges posed by AI. This lecture will be of interest to researchers, educators, and policymakers aiming to remain both knowledgeable and preemptive in the swiftly evolving field of educational technology.

Prof. Dr. Panagiotis Sarigiannidis 

Director of the ITHACA lab (,

University of Western Macedonia, GREECE

Next Generation Internet of Things

The Internet of Things (IoT) comprises a diverse mix of technologies, devices, and platforms that collaborate to optimise data sensing, collection, action, management and analysis. The rise of IoT has woven an intricate web of connections between individuals, services, and gadgets. Nevertheless, emerging IoT systems which utilize smart, integrated features need to process data in real-time at the network's edge, close to the user. Edge computing has become fundamental for the Next Generation IoT (NG-IoT). Coupling this with decentralized AI and machine learning sets the stage for managing and programming vast numbers of new devices that handle colossal data volumes. NG-IoT solutions demand swift analytics and minimal latency, which can be enabled through the deployment of a seamless Software-defined network fabric, advanced streaming analytics for IoT data and distributed federated learning services towards the realisation of IoT to edge to core cloud continuum. This presentation will delve into the needs and uses of NG-IoT, bolstered by breakthroughs like 5G communications, edge computing, state-of-the-art distributed federated learning, blockchain, software-defined solutions and network function virtualisation. These innovations promise to reshape our digital landscape with faster data speeds, enhanced reliability, cost-efficiency, heightened security and adaptability.

Prof. Dr. Fotis N. Koumboulis

Professor of Robotics and Industrial Automation

Robotics, Automatic Control and Cyber-Physical Systems Laboratory

Department of Digital Industry Technologies

School of Science

National and Kapodistrian University of Athens, GREECE

System Frameworks for Digital Twinning

Digital twining is implicated in several technological branches with special emphasis in Modern Industrial Engineering. The increasing requirements for accuracy and precision of te digital twins, together with the increasing complexity of the physician entities represented by digital twins, require the use and development of appropriate systemic tools to handle large scale system cases as well as to accomplish satisfactory performance. Basic directions in the field and key points in the realization and implementation of the digital twins will be presented.  Basic algorithms and indicative applications will be outlined. 

Prof. Dr. Tatang Herman

Faculty of Mathematics and Natural Science Education, UPI, INDONESIA


Electronic learning (e-learning) signifies the integration of information technology into education, materializing as accessible websites for participants at any time and anywhere. Key elements of e-learning encompass content, learning management systems, communication models, and practice/evaluation. In the context of implementing e-learning in mathematical education, crucial aspects deserving of heightened attention include the presentation of mathematical structures, self-directed learning in mathematics, mathematical reasoning, forms of student interaction, teacher involvement, and post-face-to-face learning follow-ups.  Optimizing the e-learning experience in mathematics involves refining the presentation of mathematical structures, facilitating independent learning, nurturing mathematical reasoning skills, and refining modes of student interaction. Additionally, fostering teacher engagement and ensuring effective follow-up strategies in face-to-face learning scenarios are paramount. A comprehensive e-learning framework for mathematics hinges on meticulous consideration and implementation of these elements, ensuring a dynamic and effective educational experience for both students and teachers within the digital realm.

Vasiliki Vrana

Professor, Department of Business Αdministration, International Hellenic University​​, GREECE

Generative Artificial Intelligence for the Travel Industry

Nowadays, the world is undergoing a dramatic transformation thanks to generative artificial intelligence (GAI), which allows companies to create new experiences by combining virtual and physical worlds. GAI embraces the power of deep learning and neural networks, to craft novel content or data mirroring the underlying patterns discerned from the training data. These innovative AI systems are capable of producing original and creative output, frequently outperforming the capabilities of conventional AI systems. The travel industry can benefit greatly from generative AI. Travelers today crave unique experiences that satisfy their individual preferences. The use of GAI has the potential to analyze user data, like preferences and travel history, to offer tailored accommodations, personalized itineraries, and real-time updates enhancing the travel experience. Additionally, GAI has the capacity to create lifelike virtual locations, assisting in travel promotion and advertising and inspiring potential tourists with immersive experiences. Real-time translation provided by GAI may eliminate language barriers, facilitating communication and enhancing passenger security abroad. Intelligent Chatbots and virtual assistants may offer customer support, handle queries, offer recommendations, and assist in the booking process. With the increasing prevalence of GAI, there is the potential for the emergence of data privacy and ethical issues. Through open dialogue, collaborative efforts, and technological innovation, these obstacles can be overcome and pave the way for a future where GAI realizes travelers’ dreams and aspirations. 

Prof. Takuichi Nishimura

Professor, Japan Advanced Institute of Science and Technology (JAIST), JAPAN

Collaborative abduction for exploration of new or tacit knowledge - Can Humans and AI co-evolve with data, knowledge, and feelings? 

We would like to develop a personal robot AI that seeks out the user's dreams and goals based on the user's preferences and circumstances and assists the user to progressively grow toward those dreams. The robot AI will use wearable sensors worn by the user and sensors embedded in the real world to understand the user's activities, situations, and features. Then, by interacting with the user, it will seek directions to solve problems and set up dreams and goals. It accompanies and supports the user in realizing his/her dreams throughout his/her life. AI can process data and knowledge in its frame much faster than humans. However, to solve a user's problem or realize a user's dream, knowledge outside the frame may be necessary. In such cases, it is necessary to find an expert who is knowledgeable about the knowledge and acquire knowledge outside the frame of that expert. In this case, the skills to expand the frame interactively with people, consistent with the knowledge within the frame, are required. Furthermore, we would like to develop an AI with abduction capability to explore new knowledge. Even if the AI generates a hypothesis by its knowledge, it is impossible for the AI to evaluate the hypothesis by itself. Therefore, we seek a collaborative abduction technique that generates effective hypotheses by asking philosophical questions to users and experts and verifies the hypotheses together. This keynote provides directions for building the AI that drive the co-evolution of human and AI.

Prof. Dr. Michael Cohen 

Spatial Media Laboratory, The University of Aizu, JAPAN

Public and Private Spatial Media: Medium-scale Panoramic Stereographics & Pantophonic Audio Displays and Personal-scale Control

Contemporary human-computer interfaces can leverage not only mobile devices, but also location-specific services, including public displays, such as shared visual monitors and speaker arrays. After reviewing the principles of dimensional excursion, some background and applications of such features are outlined, including live demonstrations of volumetric media. Unique features of the UoA UBIC 3D Theater will be showcased, including its pantophonic spatial sound speaker array and stereographic theatrical screen, driven by a piano-style keyboard controller as well as integrated software platform on smartphones and tablets, presenting panoramas and stereograms of local attractions and directionalized music.

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