Title of the talk: The Next Era of Digital Learning — Huawei AI Solutions Empowerment and Global Education Innovation

Abstract: This talk will examine how artificial intelligence is reshaping education worldwide, beginning with an overview of the global surge in AI adoption and its impact on teaching, learning, and skills development. It will then introduce the emerging concept of “AI + X” in education, highlighting how different disciplines are integrating AI to enhance personalized learning, improve teaching efficiency, and expand access to advanced technologies. In this context, the talk will present Huawei’s education-focused AI solutions, showcasing how its platforms and tools support intelligent learning environments, customized training pathways, and practical skill-building. The speech will conclude with a comparative look at AI practices in Europe and China, illustrating how regional differences in policy, industry collaboration, and innovation ecosystems shape educational outcomes, while also revealing shared global priorities in advancing digital competence and preparing learners for an AI-driven future.

Biography: Jim currently serves as the European Education Senior Solution Manager at Huawei, where he leads the design and promotion of innovative ICT solutions for the education sector. With nine years of experience in education and industry market expansion, he has developed a strong expertise in bridging technology with real teaching and learning needs. Over the course of his career, Jim has gained an in-depth understanding of digital transformation trends, educational ICT architectures, and typical best-practice deployments across universities and national education systems in both Europe and China. His work spans strategic consulting, solution development, and collaboration with ministries, academic institutions, and industry partners. Jim is committed to advancing intelligent education and helping institutions create more inclusive, efficient, and future-ready learning environments.



Title of the talk: Advancing Intelligent, Personalized, Data-Driven Learning Ecosystems: From Understanding to Empowering Learners

Abstract: As digital learning ecosystems continue to evolve, the focus is shifting from simply understanding learners to intelligently empowering them through data-driven personalization. This keynote explores how advances in data analytics, artificial intelligence, and context-aware technologies enable the transformation of learning environments into adaptive, responsive ecosystems. By leveraging multimodal data, behavioral patterns, and real-time contextual signals, modern systems can move beyond passive observation to actively support learners through personalized content, pathways, and feedback. This transition reflects a critical evolution—from context-aware systems that recognize learner states to intelligent ecosystems that anticipate needs and enable meaningful learning experiences. The keynote also addresses key challenges, including data governance, privacy, ethical considerations, and system scalability, which are essential for sustainable implementation. Ultimately, it presents a forward-looking vision of intelligent, personalized, data-driven learning ecosystems that not only understand learners but empower them to achieve their full potential.

Biography: Assoc. Prof. Dr. Punnarumol Temdee is currently a lecturer at the School of Applied Digital Technology, Mae Fah Luang University, Thailand. Her research interests include artificial intelligence, context-aware systems, software agents, and ubiquitous computing, with a particular focus on enhancing human–computer interaction and adaptive smart environments. She has published extensively in international journals and conferences and is actively engaged in collaborative research. She also serves as the Head of Computer and Communication Engineering at the Capacity Building Research Center (CCC).


Title of the talk: From ‘What to Know’ to ‘How to Learn’: Reimagining Information Engineering Education for the Lifelong Career Landscape

Abstract: The accelerating pace of technological change, driven by artificial intelligence and robotics, is radically reshaping the future of work. As traditional technical roles face displacement and entirely new domains emerge, higher education faces an existential challenge. We must pivot from teaching static, domain specific knowledge to fostering adaptability, critical thinking and lifelong learning as core competencies.

This keynote explores this evolving landscape through a synthesis of global reports, academic literature, and industry insights, highlighting the clear shift toward student centered, active learning environments. Central to this discussion is the argument that preparing students for an unpredictable labor market requires a profound paradigm shift: teaching them how to learn independently, continuously, and across domains.

To ground this shift in current realities, the presentation showcases cross-industry examples of how AI is actively transforming diverse sectors outside of traditional engineering including business, management and the creative economy. These cases illustrate the incredible velocity of the modern workplace and highlight how the footprint of information engineering now underpins the entire global workforce. Rather than prescribing a rigid, one size fits all institutional roadmap, this address concludes by confronting the engineering education ecosystem with a fundamental question: Are we truly preparing our students for this cross-disciplinary future of work, and if not, why? Attendees will be left to reflect upon and answer this challenge within the unique context of their own institutional environments, resources, and constraints.

Biography: Tashfeen Ahmad is a highly accomplished professional and educator with over 15 years of experience in university planning. He has presented his research at 70+ academic conferences in more than 40 countries (in person) and his lecturing experience spans over 10 countries (in person). He holds a postgraduate in Management from UK, an MBA in Finance from Jamaica, a B.A. in Journalism, Economics, and Statistics from the University of Punjab, ‎and a Diploma in Computer Science from the University of Cambridge, UK. He has also expanded his knowledge in psychology from the Harvard University, USA. His teaching in the field of AI is ‎exemplary, known for skillfully relating complex AI concepts to real-world applications. Mr. Ahmad’s ‎approach to education is celebrated for its effectiveness in diverse educational settings, leveraging his ‎extensive academic and professional background.‎


Title of the talk: Digital transformation of the education and science trough 3D technologies and metaverse applications

Abstract: The digital transformation of the education is an ongoing process that covers all degree levels and all study areas. The constant development of new information and communication systems, collaborative tools and hardware platforms and their integration in the teaching and learning activities are among the main drivers of this transformation. Currently, the 3D technologies are slowly entering the educational domain, but are promising to become the main catalyst for its future transformations. This keynote talk will present some of the main technologies for 3D digitalization and 3D visualisation and will further highlight how they can be used to transform the scientific processes and the educational activities. Last, but not least, we will present the future of the education in the digital world and we will demonstrate the metaverse concepts and how the digital twins of the higher education institutions can be used for educational purposes and virtual collaborations.

Biography:

Dr. Georgi Hristov is a full time Professor, Director of the University Computing and Information Services Centre and Coordinator of the Centre of Excellence UNITe at the University of Ruse “Angel Kanchev”. He has more than 20 years of practical experience with telecommunication networks and has obtained the CISCO CCNA, CAWFS, CCAI and the ACTi Associate level industrial certificates. Prof. Hristov is author and co-author of more than 200 scientific publications and several books. His main areas of study include routing and switching protocols, wireless communications, networks and networking technologies. He is actively involved in research projects in the area of the unmanned aerial vehicles (UAVs) and the robotic systems. Prof. Hristov is one of Bulgaria’s most renown experts in the area of the 3D digitalization and visualization technologies. He was team member, leading expert and coordinator in several national and international educational and research projects.

Dr. Plamen Zahariev is a full time Professor and the Head of the Department of Telecommunications at the University of Ruse “Angel Kanchev”. He has more than 17 years of teaching and research experience. Prof. Zahariev is author or co-author of more than 200 scientific publications and is member of IEEE and ACM. His main research interests are related to the 3D technologies, the wireless, wired and sensor networks and systems, the cryptography and the cybersecurity, as well as the use of drones and robots in the education. In the last 15 years, he was project manager, institutional coordinator and researcher in more than 50 national and international educational and scientific projects. At the present moment of time, Dr. Zahariev is coordinating the scientific and research activities of the Centre of Excellence UNITe at the University of Ruse “Angel Kanchev” in Bulgaria.

Dr. Lunchakorn Wuttisittikulkij is Senior IEEE Member and professor at the Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University. He earned his B.Eng. in Electrical Engineering from Chulalongkorn University, Bangkok, Thailand, in 1990. He later obtained his M.Sc. and Ph.D. in Telecommunications from the University of Essex, Colchester, U.K., in 1992 and 1997, respectively.
Dr. Wuttisittikulkij contributed to European Commission-funded projects, including the Multi-Wavelength Transport Network (MWTN), where he focused on network design and dimensioning. Since 1997, he has been a Professor in the Department of Electrical Engineering at Chulalongkorn University. Dr. Wuttisittikulkij has authored or co-authored 15 books and over 150 research articles. His research interests include wireless communication and networks, the metaverse, and immersive technology.