Building scientific and innovation potential to utilize HPC and AI for S3 Smart Specialisation in Montenegro
On 27 December, University of Donja Gorica hosted a discussion on active project results and progress. Ms Zoja Scekic, a young researcher on HPC4S3ME project gave a presentation on the project and its final results. Most notably she shared the experences from the HPC/AI Workshop and Students Conference that was the final event withing the HPC4S3ME project.
The University of Donja Gorica hosted the highly anticipated HPC/AI Workshop and Student Conference on Saturday, December 21st. This event served as a key platform to highlight the outcomes of the HPC4S3ME IPA project and the AIFusion training program supported by the Innovation Fund of Montenegro. Both projects were developed within the framework of EuroCC2/EuroCC4SEE, with support from the NCC Montenegro team. The events showcased significant advancements in high-performance computing (HPC) and artificial intelligence (AI) in Montenegro.
The workshop commenced with presentations on the results and achievements of the HPC4S3ME and AIFusion projects. Participants were also introduced to the activities and contributions of NCC Montenegro and the broader EuroCC2/EuroCC4SEE initiatives. These sessions underscored the critical role of collaboration and innovation in advancing HPC and AI capabilities.
A highlight of the event was the student conference, which featured 19 project presentations by student teams, primarily from MSc and BSc programs. These projects demonstrated the creativity, technical acumen, and forward-thinking approaches of the next generation of researchers and innovators. The diversity of ideas presented reflected the growing interest and expertise in leveraging HPC and AI for real-world applications. The project discussed HPC and AI applications in digital transformation of education, medicine, fashion, mathematcis, and tourism.
The day concluded with a dynamic panel discussion focusing on the potential of HPC and AI, emphasizing the importance of training, skills development, and success stories from academia and industry. Experts and participants engaged in vibrant discussions, exchanging insights and exploring the future possibilities of these transformative technologies.
With over 50 attendees, the event fostered a collaborative and engaging atmosphere, encouraging knowledge sharing and networking. The conference provided participants with an inspiring experience, leaving them motivated to explore further advancements in HPC and AI.
The event concluded on a high note with a cocktail reception, offering attendees the opportunity to network in an informal setting. This gathering reaffirmed the University of Donja Gorica’s commitment to fostering innovation and excellence in HPC and AI, further establishing its role as a regional leader in these critical domains. This was another successful cross-project collaboration.
The Book of abstracts can be accessed by clicking on the image below (link).
On Saturday, December 21st, the University of Donja Gorica will host an HPC/AI Workshop and Student Conference, where participants from the AIFusion and HPC4S3ME projects will present their results. This will be a great way of finalizing efforts in both projects!
The event will include:
Location: AP Amphitheatre, University of Donja Gorica
Time: 10:00am – 16:00pm
After the program, the socializing will continue with a cocktail.
Join us to celebrate the results and exchange ideas in the field of HPC and AI.
HPC4S3ME team presented a scientific paper called “Optimizing solar energy management using AI based systems” at the 8th International Symposium on Innovative Approaches in Smart Technologies that took place 6-7 December 2024 in Istanbul, Turkiye. The authors of the paper were Arnad Lekic, Anesa Abazovic, Dejan Babic, Ivan Jovovic, and Tomo Popovic. This research was a direct result of capacity building activity supported by the HPC4S3ME project.
Abstract— The research presented in this paper explores the possibilities of optimizing solar energy usage and managing solar panels in hybrid energy systems that use both solar energy and the electrical grid. A model has been created to track time series data and solar radiation in order to predict the expected solar energy yield. The goal of this research is to enable users to plan their energy consumption and maximize savings through optimal use of solar panels. This process involves collecting weather data, optimizing energy usage, and proposing a system implementation that can be used by both companies and end users.
The University of Donja Gorica (UDG) hosted a captivating lecture by Dr. Yang Jingxin, Associate Professor at the Robotics College (Artificial Intelligence College) of Beijing Union University (BUU). A distinguished expert in artificial intelligence, Dr. Yang has an impressive academic journey, including a Doctorate in Materials Science and Engineering from Tsinghua University and a National Visiting Scholarship at Rice University in the USA. Her extensive research bridges intelligent manufacturing and artificial intelligence, focusing on innovation and sustainability.
During her lecture, Dr. Yang provided an in-depth exploration of AI’s transformative potential, its cutting-edge applications, and the future trends shaping this dynamic field. She highlighted AI’s role at BUU and shared insights into the intersection of intelligent manufacturing and AI.
During November, two UDG researchers implemented a month long mobility at DunavNET as part of the TRACEWINDU MSCA H2020 project. Mr Ivan Jovovic and mr Dejan Babic, PhD students, engaged in productive discussions with DunavNET’s expert team members. The focus was on evaluating blockchain frameworks to identify the most suitable structure for ensuring transparent and secure wine traceability. They also analyzed data model requirements, highlighting the importance of data integrity and accessibility for tracking wine from production to consumption. During their stay, they went through a training on the utilisation of various AI tools and resource management on Azure platforms. An idea that will be pursued in their future research would be creation and use of chatbots for engagement of stakeholders. More on the TRACEWINDU project can be seen at the following link.
Two young researcher mobilities implemented through cross-pollination with TRACEWINDU project