As planned, the invited lecture “Risk Management of Future Large-Scale Electrification” by prof. Mladen Kezunovic took place on 25 October 2024 in Enterpreneurial nest at UDG. Threre was over 60 attendees including students, academics from Montenegrin universities and representatives from the industry. This workshop was organized in the context of HPC4S3ME project and supported by EUROCC NCC Montenegro team.
What are the risks? Methodology for risk management and mitigation? What data do we have and how do we manage all that data? How can AI/ML supported by HPC help?
Dr. Mladen Kezunovic is a University Distinguished Professor at Texas A&M with over 35 years of expertise in power engineering. Renowned globally, Dr. Kezunovic has authored over 600 papers and consulted for 50+ companies worldwide. His extensive research and industry contributions, notably in fault modeling, data analytics, and smart grids, have earned him IEEE Life Fellow status and recognition from the US National Academy of Engineering.
prof. Kezunovic from Texas A&M gave presentation on a nove approach to Risk managemement in energy sectorThe workshop took place on 25 october at UDGOver 60 people attendedHow AI/ML supported by HPC can help mitigate risk in energy sector?
Mr. Luka Jeremic defended his MSc thesis on 23 October 2024. The title of the thesis was AI and applications in medicine. His research was mentored by HPC4S3ME team members and it was done in the context of AI master program at the Faculty for information systems and technologie at UDG. This program and Master students are supporter by EUROCC NCC Montenegro.
ABSTRACT – This research explores the application of artificial intelligence in medicine, with a focus on the classification of brain, liver, and blood cell diseases. The main objective is to evaluate the effectiveness of algorithms in recognizing and classifying diseases of these organs. Through the development of a prototype information system, the study analyzes how artificial intelligence can improve diagnostics and contribute to the advancement of personalized medicine. The methodology includes a literature review, the development of computer vision models, and the assessment of model accuracy using real medical data. The results show that models based on deep neural networks can enhance the accuracy and speed of diagnostics, allowing for more precise disease classification. The paper also highlights the barriers and challenges in implementing these technologies, including the need for ethical considerations and training of medical staff. The conclusions suggest that this approach has the potential to significantly improve medicine, but further research and refinement are necessary.
Mr Jeremic defended his master thesis on AI/ML and applications in medicine
NCC Türkiye, NCC Serbia, NCC Montenegro, and NCC North Macedonia are pleased to announce a joint online training event titled “Machine Learning for Multiple Domains: From Concepts to Implementation,” scheduled for October 14-15, 2025, starting at 10:00 AM.
Participants can expect engaging program at both beginner and intermediate levels and will feature hands-on sessions along with key presentations spread across two days: Brief introductions on HPC/AI activities by 4 NCCs; Supercomputing access demo (TRUBA HPC infrastructure), presentations from NCC Macedonia (Design, Develop, Deploy, and Iterate on Production-Grade ML Applications) and NCC Turkey (Protein Language Models and Using Them for Downstream Prediction Tasks) on Day 1, and presentations from NCC Serbia (Modeling of Large-Scale Social Data) and NCC Montenegro (Analyzing Social Media Trends) on Day 2.
We look forward to your participation in this valuable opportunity to enhance your skills in HPC and machine learning!
The AI Conference, organized by the World Bank on September 24-25, 2024, in Budva, Montenegro, brought together global AI experts, policymakers, and stakeholders from both the public sector and academia to explore the integration of AI into national strategies/policies, government operations, and public services. Representatives from NCC Montenegro actively participated in the two-day workshops, engaging in discussions on AI opportunities, challenges, and practical use cases for public administration. They emphasize the importance of digital upskilling and AI expertise, the need for data repositories and open data policies, and the establishment of advanced computing infrastructure. NCC also elaborated on its activities and efforts in the development of a HPC/AI ecosystem in Montenegro.
Mr. Marash Dukaj, Minister of Public Administration, delivered a welcoming speech recognizing the necessity of AI and its potential to enhance public administration, economic development, and societal progress. He highlighted AI’s ability to enrich citizens’ lives through personalized services, enhanced resource management, business process optimization, and new innovation opportunities. The Ministry of Public Administration, in partnership with the World Bank through the BEST project, is set to develop a strategic roadmap for AI adoption in Montenegro.
Dr. Keegan McBride, lecturer in AI, Government, and Policy at the Oxford Internet Institute, outlined essential AI concepts for public sector implementation. Barbara Ubaldi, Head of the Digital Government and Data Unit at OECD, shared valuable insights from AI strategies in OECD countries, highlighting various public sector AI applications, and lessons learned. AI expert, Varun Hemachandran presented practical examples of AI in government contexts, while Divya Siddarth, Executive Director of the Collective Intelligence Project, stressed the critical role of stakeholder engagement in AI development.
Participants engaged in working groups and brainstorming sessions focused on envisioning a national AI strategy, creating building blocks for AI governance, and addressing potential challenges in administrative services, tax policies, and digital health. The conference provided a dynamic platform for discussing strategic, transparent, and responsible approaches to AI integration in the public sector, fostering valuable knowledge, insights and networking opportunities to advance Montenegro’s AI agenda.
On Friday, September 27, UDG welcomed Divya Siddarth, one of the 100 most influential young people in the field of artificial intelligence, as chosen by TIME magazine! Divya is a researcher at Microsoft Research, in the Political Economy and Social Technologies (PEST) department, and co-founder of the Collective Intelligence Project. Her work focuses on using technology to create fairer societies, with a particular emphasis on decentralized technologies, artificial intelligence and digital democracy. She was recently recognized as one of the key minds shaping the future of artificial intelligence in the service of the common good! The audience included students, researchers and industry representatives.
Ms Divya Siddarth is one of the 100 most influential young people in the field of artificial intelligenceIt was a pleasure to be a part of this discussion. There was over 200 people in the audienceMs Siddarth is a researcher at Microsoft Research and co-founder of the Collective Intelligence Project
At the Revolutionising Agriculture with HPC and AI: Real-World Applications conference, the project, AIMHiGH, was presented, with DigitalSmart as the coordinator. The project, implemented as part of the HPC Fortissimo initiative and funded through the Horizon 2020 FF4EuroHPC program, was titled AI/ML Enabled by HPC for Edge Camera Devices for the Next Generation Hen Farms. Stevan Cakic presented experience with the AIMHiGH project that introduced cutting-edge HPC and AI/ML technologies that significantly impacted the poultry farming sector. One of the key achievements of the project was enabling real-time monitoring and data-driven insights. Farmers gained access to continuous, real-time surveillance of their poultry through edge cameras equipped with AI models. These models could analyze live footage to identify early signs of illness, stress, or abnormal behavior, allowing immediate intervention. This innovation improved animal welfare, minimized losses, and enhanced overall productivity on the farms.
In addition, the project provided an advanced solution for disease detection and prevention. The AI models developed during the project were capable of detecting subtle signs of illness long before they became visible to the human eye. This early detection allowed for more effective prevention and control, reducing the spread of diseases and ultimately leading to lower usage of antibiotics, which had a positive impact on both costs and animal health. Moreover, the project’s technological solutions helped optimize resource usage, particularly in terms of feed and water management. With real-time behavioral and health data from the birds, farmers could adjust feeding schedules and amounts according to actual needs, reducing waste and cutting down on unnecessary resource consumption. This not only reduced environmental impact but also contributed to more efficient and sustainable production practices.
Presenting HPC and deep learning appraoch
The project’s approach to automating monitoring and decision-making processes also had a transformative effect on production efficiency. By reducing the need for manual supervision, the system allowed farm workers to focus on more critical tasks, leading to higher production outputs while maintaining lower operational costs. A further advantage was the scalability and flexibility of the technology. The use of edge devices allowed these AI models to be easily deployed in various farm setups without requiring expensive infrastructure. This made the technology accessible to both large-scale operations and smaller farms, ensuring that the benefits of AI and HPC could reach a broader segment of the poultry farming industry. Throughout the project, collaboration with key partners played a crucial role. DunavNET contributed its expertise in AI, machine learning, IoT, and software development, while The University of Donja Gorica brought significant HPC expertise through NCC Montenegro and the FoodHub Centre of Excellence. Montenegrin companies Meso-promet Franca and Radinović Company participated actively in the evaluation and piloting phases of the project, ensuring the practical relevance and success of the solutions developed. Overall, the AIMHiGH project was fully aligned with the priorities of Montenegro’s S3 Smart Specialisation Strategy, making significant contributions to technological innovation in the poultry sector, while strengthening the local economy and supporting more sustainable farming practices.
Discussing experiment results and prospects for future work
Welcome to “Supercomputing in Europe” podcast from the EuroCC and Centre of Excellence network where we will talk about all things supercomputers.
Listen to stories by guests from all around Europe who talk about their work and give us interesting insights on the role of supercomputers in multiple fields such as life science, machine learning, engineering, data science, quantum computing, and more.
In the first episode, listen to EuroHPC Joint Undertaking (EuroHPC JU) executive director Anders Dam Jensen discuss with communication specialist Apostolos Vasileiadis (ENCCS, RISE Research Institutes of Sweden) about EuroHPC JU and the state of supercomputing in Europe and its future.
In the second episode listen to Marta García-Gasulla and Filippo Mantovani from Barcelona Supercomputing Center discuss with Sally Kiebdaj (Center of Excellence in Exascale CFD, HLRS – High-Performance Computing Center Stuttgart) about the European Processor Initiative and CEEC CoE.
