Faculty of Computer Science and Engineering

Permanent URI for this communityhttps://repository.ukim.mk/handle/20.500.12188/5

The Faculty of Computer Science and Engineering (FCSE) within UKIM is the largest and most prestigious faculty in the field of computer science and technologies in Macedonia, and among the largest faculties in that field in the region. The FCSE teaching staff consists of 50 professors and 30 associates. These include many “best in field” personnel, such as the most referenced scientists in Macedonia and the most influential professors in the ICT industry in the Republic of Macedonia.

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    AI Agents in Finance and Fintech: A Scientific Review of Agent-Based Systems, Applications, and Future Horizons
    (Tech Science Press, 2026)
    Rizinski, Maryan
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    Artificial intelligence (AI) is reshaping financial systems and services, as intelligent AI agents increasingly form the foundation of autonomous, goal-driven systems capable of reasoning, learning, and action. This review synthesizes recent research and developments in the application of AI agents across core financial domains. Specifically, it covers the deployment of agent-based AI in algorithmic trading, fraud detection, credit risk assessment, roboadvisory, and regulatory compliance (RegTech).The review focuses on advanced agent-based methodologies, including reinforcement learning, multi-agent systems, and autonomous decision-making frameworks, particularly those leveraging large language models (LLMs), contrasting these with traditional AI or purely statistical models. Our primary goals are to consolidate current knowledge, identify significant trends and architectural approaches, review the practical efficiency and impact of current applications, and delineate key challenges and promising future research directions. The increasing sophistication of AI agents offers unprecedented opportunities for innovation in finance, yet presents complex technical, ethical, and regulatory challenges that demand careful consideration and proactive strategies. This review aims to provide a comprehensive understanding of this rapidly evolving landscape, highlighting the role of agent-based AI in the ongoing transformation of the financial industry, and is intended to serve financial institutions, regulators, investors, analysts, researchers, and other key stakeholders in the financial ecosystem.
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    UNVEILING THE NEXT WAVE OF LEARNING: NAVIGATING CHATGPT'S IMPACTFUL APPLICATION IN EDUCATION
    (IATED, 2024-03)
    Jancheska, Sofija
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    ChatGPT, an Artificial Intelligence (AI) chatbot developed by OpenAI, has achieved an immense popularity due to its unique capabilities. Trained on a massive dataset encompassing both text and code, ChatGPT demonstrates a remarkable ability to generate code as well as creative text content. Optimized for conversations, the chatbot allows users to guide discussions and generate desired content with consecutive prompts and replies as context. Its accessibility to the general public contributed to ChatGPT becoming the fastest-growing consumer software application in history. ChatGPT possesses human-like conversational skills and a seemingly infinite knowledge. Not only it is proficient in generating answers across a multitude of subject domains, but it also excels in elaborating on responses and engaging in meaningful follow-up conversations. Leveraging its advanced natural language processing capabilities, this large language model finds applications in diverse fields, such as chatbots, virtual assistants, language translation, text summarization, question answering, personalized content generation, education, healthcare, entertainment, and customer support. The emergence of ChatGPT has inspired diverse reactions, ranging from positive to negative perspectives. Positive responses highlight its potential for advancing various fields of science and education, while negative feedback often emphasizes concerns like inaccuracies and vagueness in ChatGPT-generated content. Views on ChatGPT vary, with some seeing it as a sophisticated plagiarism tool, while others perceive it as a potential threat that could compromise artists' freedom of expression. This paper aims to explore the main advantages and disadvantages of integrating ChatGPT in education, focusing on its effective usage across diverse school subjects, encompassing natural sciences, social sciences, and formal sciences. Concrete examples will be provided to illustrate how ChatGPT can be applied in various subjects, highlighting its versatile nature. We explore the primary educational applications of ChatGPT, spanning from asking questions and acquiring information to conducting supplementary research and analyzing information sources. It is crucial to acknowledge that while ChatGPT is a valuable resource, it is not perfect, and students should not solely rely on it. Instead, we encourage students to use ChatGPT as an initial step in their research process and cross-check information from other, credible sources. Developing critical thinking about the information obtained through artificial intelligence, students need to be aware of its shortcomings and limitations. Consequently, teachers play a vital role in training students to use ChatGPT responsibly and conscientiously. Hence, we aim to unveil ways in which students and teachers can maximize the benefits of ChatGPT to achieve an exceptional learning experience.
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    UNLOCKING THE FUTURE OF EDUCATION: A COMPREHENSIVE ANALYSIS OF KEY DOCUMENTS SHAPING ARTIFICIAL INTELLIGENCE IN EDUCATION
    (IATED, 2024-03)
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    Jancheska, Sofija
    With the boom of Artificial Intelligence (AI) in the past few years, there has been a notable upswing in the generation of resources dedicated to this field. Prominent international and supranational entities and initiatives, including UNESCO, European Commission, European Parliament, OECD, EdTech, AI4K12 and International Society for Technology in Education, have produced a significant number of documents in the field. This paper provides a comprehensive analysis of carefully selected documents within the field of AI, specifically focusing on its applications in education. The goal is to provide a nuanced exploration encompassing professional expertise, comprehensive guidelines, and practical recommendations to enhance our understanding of AI. Through this detailed study of documents, our objective is to offer valuable insights for the future potential of AI in education. Our paper emphasizes ethical considerations, best practices, and guidelines, useful to educators, policymakers, and stakeholders who seek to integrate AI technologies responsibly and effectively into educational settings. Our paper also aims to promote responsible and beneficial integration of AI in education, with the ultimate goal of enriching learning experiences for students. With our carefully selected documents, we address various aspects, including the promotion of gender equality and human rights, conducting privacy impact assessments, ensuring responsible use of AI in accordance with privacy regulations, and identifying the essential knowledge and skills that students should acquire in the realm of AI. We explore how to equip students with a foundational understanding of AI concepts, ethical considerations, and practical skills, positioning them as informed and responsible users of AI technologies in the future. The document selection spans topics related to integrating AI in education, encompassing challenges, opportunities, standards, data privacy and security considerations, as well as addressing biases and ethical concerns.
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    AI in Software Testing: Revolutionizing Quality Assurance
    (IEEE, 2024-11-26)
    Trifunova, Andrea
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    Artificial intelligence (AI) is an area of tremendous potential, especially in the software testing domain, where it has changed the dynamics of the process, storms in efficiency, accuracy, and flexibility in a given SDLC. This paper presents findings from recent investigations of AI in the testing and quality assurance focusing on its transformational potential. Particular attention is paid to such issues as automation of testing processes through AI, testing process enhancement, and possible changes in software engineering due to AI implementation. In this paper, various research perspectives have been integrated to reveal the effectiveness of AI in enhancing the perceived quality assurance processes, improving product quality, and adopting principles of agile methodology in today's software development.