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.
The workshop took place on 25 october at UDGprof. Kezunovic from Texas A&M gave presentation on a nove approach to Risk managemement in energy sectorOver 60 people attendedHow AI/ML supported by HPC can help mitigate risk in energy sector?Several students from Faculty for information systems and Faculty for applied sciences attended
Ms. Tamara Pavlovic defended her MSc thesis on the use of HPC/AI for creating prediction models for breast cancer detection on 23 October 2024. With the support from NCC Montenegro, Ms Pavlovic did her research in the context of the HPC4S3ME project and the focus was on AI and computer vision applications in medicine. From the motivational point of view, we congratulate Tamara for finalizing and defending her thesis during the Breast Cancer Awareness Month (‘Pink October’) as people around the world adopt the pink colour and display a pink ribbon to raise awareness about breast health.
ABSTRACT – Artificial Intelligence (AI) is revolutionizing numerous sectors, including medicine, by offering innovative methods for diagnosing, treating, and researching diseases. This master’s thesis focuses on the application of AI in the diagnosis of breast cancer, using computer vision algorithms to analyze mammographic images. Through a combination of convolutional neural networks (CNNs) and deep learning, models have been developed that identify malignant changes, potentially contributing to earlier and more precise disease detection. The thesis examines in detail how AI can improve the efficiency of screening processes, reduce the time required for diagnosis, and enable a more personalized approach to treatment. In addition to technological progress, ethical issues such as patient safety and the transparency of AI systems are also considered. The results of this study confirm that the application of AI in breast cancer diagnostics can significantly enhance medical procedures. The models tested, ResNet152 and DenseNet121, demonstrated quite good performance in classifying breast cancer. Their AUC scores, which exceed the threshold of 0.9, indicate their potential for use in clinical practice. These findings not only contribute to the improvement of diagnostic processes but also open up opportunities for further research and development of AI technologies in medicine.
This research was done in th context of HPC4S3ME and with the support from EUROCC NCC MontenegroMs Pavlovic finalized her thesis during the Breast Cancer Awareness Month (‘Pink October’)
Ms. Zoja Scekic, a young researcher on HPC4S3ME project, defended her MSc thesis “Deep learning and applications in energy sector” today. This is one of the main project outputs in capacity building aimed at HPC/AI skills for applications in priority domains of Montenegrin S3.
ABSTRACT – This master’s thesis explores the application of advanced deep learning models for predicting day-ahead electricity prices, focusing on the accuracy and efficiency of these models compared to traditional forecasting methods. With the increasing integration of renewable energy sources and the growing complexity of electricity markets, accurate price forecasting has become crucial for market participants, grid operators, and policymakers. The research is structured around four case studies, each employing different deep learning techniques, such as Artificial Neural Networks (ANN), Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), and hybrid models like CNN-LSTM. Despite the promising results, the research recognizes limitations related to data quality, model complexity, and computational resource requirements. The study emphasizes the need for further research into optimizing model efficiency, integrating more diverse data sources, and expanding the applicability of these models to different energy markets.
Ms Zoja Scekic defended her MSc thesis on Deep leaning applications in energy sectorThis MSc thesis was done in the context of HPC4S3ME with support from EUROCC NCC MontenegroFriendly support from young researchers from UDG and HPC4S3ME team
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!
Ms Divya Siddarth is one of the 100 most influential young people in the field of artificial intelligence
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!
It was a pleasure to be a part of this discussion. There was over 200 people in the audienceDivya 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 AIMHiGH project, coordinated by DigitalSmart, was presented as part of the HPC Fortissimo initiative under the Horizon 2020 FF4EuroHPC program. The project, titled “AI/ML Enabled by HPC for Edge Camera Devices for the Next Generation Hen Farms,” brought cutting-edge HPC and AI/ML technologies to the poultry farming sector. Key achievements included real-time monitoring and data-driven insights through AI-powered edge cameras that continuously surveilled poultry, detecting early signs of illness and abnormal behavior. This innovation allowed farmers to intervene promptly, improving animal welfare, reducing losses, and enhancing productivity.
S. Cakic presented the project AIMHiGH that utilised HPC and AI for computer vision in smart agriculture
Additionally, the AI models developed during the project provided advanced solutions for early disease detection, resource optimization, and automation, leading to more sustainable and efficient farming practices. The system reduced manual supervision needs, cut operational costs, and optimized feed and water usage based on real-time data. The technology’s scalability and flexibility made it accessible to both large and small farms. Collaboration with partners like DunavNET, the University of Donja Gorica, and Montenegrin companies Meso-promet Franca and Radinović ensured practical relevance, aligning the project with Montenegro’s Smart Specialisation Strategy while supporting innovation and local economic growth in the poultry sector.
Presenting HPC and deep learning approach to the problemDiscussing the experiment results and prospects of the future wok
AIFusion! Apply for a course on artificial intelligence (AI) in agriculture, medicine and energy. HPC4S3ME team mebers will actively participate in training and workshop sessions. The training is carried out in the context of NCC Montenegro and EUROCC with the financial support of the Innovation Fund of Montenegro. We continue last year’s success! This is an activity supported by the Innovation Fund of Montenegro.
Would you like to explore the transformative power of HPC and Artificial Intelligence in agriculture and learn about real-case application?
Join the webinar “Revolutionising Agriculture with HPC and AI: Real-World Applications on Tuesday, 24 September, 14:00-15:00 CET.
More info & registration ▶ https://www.sling.si/en/news/ncc-sling-webinar-revolutionising-agriculture-with-hpc-and-ai-real-world-applications/
HPC4S3ME team members will participate in the webinar and also present their experiences in developing computer vision solutions for precision farming.
NCC Montenegro, in collaboration with CIGRE Montenegro, is pleased to announce a collaborative workshop scheduled for March 29, 2024. This workshop is designed to enhance industry relations and explore the applications of High-Performance Computing (HPC) and Artificial Intelligence (AI) technologies within the energy sector. The workshop will provide Montenegrin companies with a comprehensive overview.
More information about the event and registration information can be seen at the NCC Montenegro website (link).
XXVIII international scientific and professional conference “Information technologies” was held from February 21 to 24, 2024 traditionally in Žabljak, organized by: University of Montenegro – Faculty of Electrical Engineering, University of Donja Gorica – Faculty of Information Systems and Technologies, IT Society Crna Gora, University of Belgrade – Faculty of Organizational Sciences, IEEE Association and IEEE Section for Serbia and Montenegro, with the full support of the company Čikom from Podgorica. Presentations of author’s works and sessions were realized live in the hotel “Gorske oči”, hotel “Žabljak”, but also online. The conference gathered around 200 national and international participants. Link to conference website: https://www.it.ac.me/en/
Authors from 20 countries took part in the conference: Montenegro, Serbia, Bosnia and Herzegovina, Croatia, Slovenia, Hungary, Romania, Greece, Cyprus, Italy, Spain, Slovakia, Ukraine, Estonia, the United Kingdom, Turkey, Egypt, Jordan, Indonesia and the Philippines. The number of submitted author’s works was 101, of which 67 were accepted and presented, which were reviewed and selected on the basis of the complete work. Topics from various fields are covered such as: image and audio signal processing, acyclic graphs, blockchain technology, information security, standardization, application of artificial intelligence in various fields, management of unmanned vessels, virtual trade and knowledge transfer.
Short video on HPC at IEEE 2024 conference
A special session was dedicated to the presentations of the EuroCC2 project – National Competence Centers for HPC: https://eurocc.udg.edu.me/, the presentation of the Montenegrin Academic Digital Innovation Hub, supported by the DigNEST project : https://dignest.me/#/ , then TRACEWINDU: https://www.tracewindu.eu/, FoodHUB – Center of excellence for digitization of risk assessment in the field of food safety and precise certification of the authenticity of pre-harvested products: https://foodhub .udg.edu.me/, HPC4S3ME: https://hpc4s3me.udg.edu.me/, AI-AGE: https://ai-age.udg.edu.me/, STECCI: https://steccihorizoneu. com/, FishEUTrust: https://fisheutrust.org/, Solar Katun: https://digitalsmart.me/innovation-fund-of-montenegro-solar-katun-project/, Enav: https://enav.ucg. ac.me and COMMECT: https://www.horizoneurope-commect.eu/ . Representatives of Fleka, Čikom and FiveG Group participated in the training.
Short video on IEEE IT2024
As part of the XXVIII scientific-professional conference, those present had the opportunity to participate in workshops, panels and trainings in the field of artificial intelligence, but also to hear the activities carried out by national competence centers in the field of high-performance computing from Cyprus, Slovenia, the Netherlands, Montenegro, Turkey , North Macedonia, Romania, participants in the EuroCC2 project. The project supports the development of innovative solutions by targeted participants in the private and public sector by providing support to interested end users in the use of HPC/HPDA/AI. Activities and innovative solutions based on the use of high-performance computing (HPC) and artificial intelligence (AI) for applications in industrial domains defined by the Smart Specialization Strategy (2019-2024) for Montenegro were presented.
Traditionally, the conference was successfully completed for the twenty-eighth year in a row, and it fulfilled its goal by pointing out the importance of a multidisciplinary overview of current events and the networking of a large number of university professors and associates, experts and young researchers in the field of information and communication technologies.
HPC4S3ME project was presented at the 28th IEEE IT2024 Conference that took place 21-24 Feb 2024 in Zabljak, Montenegro. The presentation took place in a poster section dedicated to project presentations. We had a chance to talk to conference attendees, our colleauges from Montenegro and abroad. Also, the next day we had a large group of students participating in the EuroCC Workshop on HPC and Industry Applications, where we had a chance to discuss the project posters and take their attention to HPC4S3ME and other projects presented at the conference. Furhtermore, during the conference we had a scientific paper that was based on the research conducetd bz young researchers.
HPC4S3ME presented in the special section dedicated to project resultsThe attendance was over 100 people during the conferenceAll the project posters were present throughout the whole conference
