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Research paper: “Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach” (CMBEBIH & MEDICON 2023)

Mr Dejan Babic presented the research paper “Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach” on a joint event CMBEBIH & MEDICON 2023 which held place in Sarajevo, Bosnia and Herzegovina from September 14th to September 16th. The paper presented a comprehensive analysis of the use of Machine Learning and Artificial Intelligence techniques in the sense of predicting the risk, and therefore evaluate their potential in identifying patients with possibilities of developing cardiovascular disease.

Mr Dejan Babic presented his research paper "Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach" at CMBEBIH&MEDICON 2023
Mr Dejan Babic presented his research paper “Ten Year Cardiovascular Risk Estimation: A Machine Learning Approach” at CMBEBIH&MEDICON 2023

ABSTRACT – Cardiovascular disease is one of the most common causes of death in the world. Usual practice in medicine is estimation of 10 years risk of patients developing cardiovascular disease. This practice enables taking preventive measures such as early medical treatments and lifestyle changes. The key step is to accurately assess the risk where the patients can be treated accordingly. With advancement of Artificial Intelligence and ML in medicine, this study aims to present a comprehensive analysis of the use of these techniques in the sense of predicting the risk, and therefore evaluate their potential in identifying patients with possibilities of developing cardiovascular disease. First, an analysis of the working dataset is provided. Then, various traditional classification models are implemented and trained on the dataset, and their performance is compared. The classifying models used in this research include SVC, KNN etc. The results of this study are presented in systematic comparison, where the performances of all the models are represented with discussion about challenges and possible limitations of the data regarding this particular problem. Normalization and oversampling techniques were used and reduced the overfitting problem.

Experiment results
Results of the experiment
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AI4S3 project – Computer vision and deep learning in agriculture and food production, medicine and energy

Faculty of Information Systems and Technologies (UDG), with the support of the Innovation Fund of Montenegro as part of the program to encourage the development of innovation culture and the organization of education in the areas of expertise in Montenegro, organizes a three-month training called “AI4S3 – Application of computer vision and deep learning in agriculture and food production, medicine and energy” which will be held in the period from the beginning of October to the end of December 2023. The HPC4S3ME team members will participate as trainers in this 3-month education project sponsored by the Innovation Fund of Montenegro. More info is available at NCC Monteengro website at the following link.

AI4S3 – Computer vision for applications in S3 monteengro (3-month training)
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EuroHPC JU Information Day for AI on Supercomputers

EuroHPC JU organizes a virtual event “Information Day on AI and Supercomputers. This three-hours virtual event will take place on September 26th, 9:30 – 12:30 CEST. The virtual event will discuss:

  • how EuroHPC JU supercomputers can be used for AI applications,
  • the access possibilities to these supercomputers,
  • the current and upcoming AI related calls and activities,
  • the support possibilities of EuroCC national competence centres
  • examples of numerous success stories that used many of the possibilities provided by EuroHPC JU.

Interested participants can register to the event at the following link.

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The program for the joint event CMBEBIH & MEDICON 2023

Our team members will participate in the joint event CMBEBIH & MEDICON 2023 Mediterranean Conference on Medical and Biological Engineering and Computing (MEDICON) International Conference on Medical and Biological Engineering (CMBEBIH). Several young researchers submitted their research results and conference papers for presentation at the MEDICON conference. The focus of these research papers is applying AI to different problems in health and medicine domain. The current version of the conference program is available at the following link.

The joint event will take place in Sarajevo in Sep 2023
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BSc thesis: Artificial intelligence and big data analytics

Ms Elda Kalac defended her BSc hesis on artificial inteligence and big data analytics. In her thesis, she covered the fundamentals of artificial intelligence and machine learning, introduced some basic algorithms and provided discussion on big data and aplicability of AI to big data analysis.

ABSTRACT – This thesis explores the topic of artificial intelligence and big data analytics. The purpose of the study is to provide a theoretical framework for understanding the concepts of artificial intelligence and big data analytics, and to investigate their mutual interaction. The research methodology includes the selection of appropriate methods and algorithms for analyzing big data, description of the data used in the study, and planning of experiments and performance evaluation. Additionally, examples of artificial intelligence algorithms applied in big data analytics are presented. Through the analysis and interpretation of results, the implications of these techniques for enhancing data understanding and making informed decisions are discussed. The conclusion summarizes the main findings of the research and proposes avenues for further exploration. This work provides a foundation for further research in the field of artificial intelligence and big data analytics.

Artificial intelligence and big data analytics (18.07.2023)
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BSc thesis on AI and video games

On 18.07.2023, mr Elvis Taruh, a student from UDG presented his BSc thesis on the use of artificial intelligence in video games. His thesis gave an introduction to AI and alrogirthms that are used in games. Besides theorethical background, the thesis included a presentation of practical implementation of several simle video games programmed by the candidate.

ABSTRACT – The paper investigates the application of artificial intelligence (AI) in video games and its impact on the player’s experience. Basic concepts of AI are studied, as well as various methods of applying AI in games, including character management, combat algorithms, pathfinding algorithms, and mission and scenario generation. Ethical aspects of the application of AI in video games are also analyzed, including the impact on social interactions, detection and prevention of cheating, and the development and use of AI in the game industry. Through this paper, the importance of AI in improving the gaming experience is emphasized, but also questions about ethics and challenges faced by players while playing games are also raised. All the aforementioned analyzes provide the paper with an insight into the current state and future possibilities of the application of AI in video games.

Mr Elvis Taruh presented his BSc thesis on AI and video games programming on 18.07.2023
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AI4S3 – educational project proposal approved

The Innovation Fund of Montenegro (the Fund) publishes the list of projects approved for financing within the framework of the Public Call for encouraging the development of innovation culture and the organization of education in the areas of smart specialization. The fund allocated funds in the total amount of 130,000 euros for financing projects within two program lines according to this Public Call. The public call for the mentioned program lines was open from May 8 to June 15, 2023.

Education in domains of S3 Montengro by the Innovation Fund of Montenegro

The Faculty of Information Systems and Technologies, University of Donja Gorica, proposed the educational project “Application of computer vision and deep learning in agriculture and food production, medicine and energy (AI4S3)” which was highly evaluated and approved for funding. This project focuses on training participants for the application of AI in the priority domains of the Smart Specialization Strategy of Montenegro (S3 Montenegro). This project is continuation of UDG and NCC Montenegro efforts to offer best education and training for HPC, AI and IT in general to Montenegrin stakeholders. The training will take place from October to December 2023. This effort is fully aligned with HPC4S3ME project goals and complementary fits into the promotion of HPC and AI in priority domains of Montenegrin S3.

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BSc thesis on Explainable Artificial Intelligence

Mr Nikola Kavaric, an undergraduate student at UDG finalized his BSc thesis on Explainable Artificial Intelligence. This BSc work covered theoretical background and introduction to AI and ML and then covered intepretable and explainable AI and ML models. Explainable AI is critical research topic as we depend on the wide use of AI and ML prediction models in our everyday’s life.

Mr Kavaric’s defence took place on 18.07.2023.
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BSc thesis on Generative Artificial Intelligence (GenAI)

Ms Tamara Lasica, an undergaduate student from UDG, just defended her BSc thesis on the development of generative artificial inteligence (GenAI). Her thesis work was done under the mentorship of prof. Tomo Popovic. The defence took place on 18.07.2023.

ABSTRACT – When OpenAI developed a new model of generative artificial intelligence and made it available to the public at the end of 2022, in the form of the chatbot ChatGPT, and the number of its users grew to 200 million within two months, a real explosion took place in the world of artificial intelligence and it became clear to everyone that nothing would be the same in the future.

This work tries to present and approach the reader in a systematized way this powerful technology that gives robots the ability to “talk” to us, and to create original content from text, to images, music and 3D animations, imitating human creativity at our request.

As generative artificial intelligence (GenAI) is rapidly developing and has the potential to change many industries, this paper considers numerous possibilities of its application, as well as the possibility of abuse and the necessity of introducing legal regulation of artificial intelligence.

The BSc tehsis was presented on 18.07.2023.
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Digital Europe Programme opens to Montengro

Today, the Commission signed association agreements for the Digital Europe Programme with Montenegro, North Macedonia, Albania and Serbia, on the margins of the Regulatory Dialogue with the Western Balkans. Following the signatures, and upon the completion of the related ratification processes, the association agreements will enter into force. Businesses, public administrations and other eligible organisations in these neighbouring countries will be able to access the calls of the Digital Europe Programme, which has an overall budget of €7.5 billion in the 2021-2027 period.

Montenegro signing the DEP

In particular, participants from these four countries will be able to take part in projects that deploy digital technologies across the EU in specific areas such as artificial intelligence, and advanced digital skills. They will also be able to set up Digital Innovation Hubs in their own regions. This will bring them closer to the EU economy and society, benefit their technology capabilities and support digitalisation overall, notably of small and medium-sized businesses. (Source: European Commission – link)

Digital Europe Programme opens to Montenegro
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