22nd International Conference on Informatics and Information Technologies
- ciit@finki.ukim.mk
April, 25-27 2025, Strumica, North Macedonia
22nd International Conference on Informatics and Information Technologies
April, 25-27 2025, Strumica, North Macedonia
The International Conference on Informatics and Information Technologies is the 22nd of the series of conferences organized by the Faculty of Computer Science and Engineering (FCSE).
April 25-27, 2025
Hotel Sirius – Strumica, North Macedonia
The detailed conference schedule is available via the Schedule Menu Link.
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CIIT 2025: General Schedule |
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Friday, 25 April 2025 |
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Time |
Activity |
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09.30 - 10.30 |
Registration |
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11.00 - 12.00 |
Session 1: |
Session 2: |
Workshop: ChatMED |
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12.00 - 13.00 |
Joint Workshop on
Bilateral Collaborations between Macedonia and Austria: Advancements and
Shared Experiences in Explainable AI in Robotics and AI-Driven Biological
Discovery (Hall 4); |
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13.00 - 14.00 |
Lunch break |
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14.00 - 15.00 |
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15.00 - 15.10 |
Opening Ceremony (Hall 1) |
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15.10 - 16.10 |
Invited Speaker: Matjaz Gams - "From
LLMs to Superintelligence" (Hall 1) |
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16.10 - 16.30 |
Coffee break |
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16.30 - 18.30 |
Session 3: |
Session 4: |
Automated Learning Techniques - panel discussion |
Joint Workshop on Bilateral Collaborations between Macedonia and
Austria: Advancements and Shared Experiences in Explainable AI in Robotics
and AI-Driven Biological Discovery (Hall 4) |
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20.00 |
Dinner (Live Band) |
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Saturday, 26 April 2025 |
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Time |
Activity |
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08.30 - 09.30 |
Registration |
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09.30 - 11.30 |
Session 5: |
Session 6: |
From 10.00: Workshop: ChatMED (Hall 3) |
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11.30 - 12.00 |
Coffee break |
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12.00 - 13.00 |
Invited Speaker: Reiner Creutzburg - "IT Forensics – An Overview" (Hall 1) |
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13.00 - 14.30 |
Lunch break |
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14.30 - 16.30 |
Student Session 1 |
Session 7: |
Workshop: ChatMED (Hall 3) |
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16.30 - 17.00 |
Coffee break |
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17.00 - 17.45 |
Invited Speaker: Stevo Lukic - "Human evaluation framework within the ChatMed project" (Hall 1) |
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17.45 - 19.45 |
Student Session 2 |
Student Session 3 |
Session 8: |
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20.15 |
Gala Dinner (Live Band) |
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Sunday, 27 April 2025 |
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Time |
Activity |
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10.30 - 11.00 |
Closing Ceremony |
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11.00 - 13.00 |
Social activities |
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The rapidly expanding reliance on digital technology in personal, corporate, and governmental domains has underscored the critical need for effective IT forensic methods. IT Forensics, also known as Digital Forensics, involves the systematic identification, collection, preservation, analysis, and presentation of digital evidence for investigative and judicial purposes.
This lecture provides an overview of key principles, methodologies, and challenges in the field of IT Forensics. It begins with an introduction to digital forensics, defining core concepts, objectives, and the role of IT forensic professionals in modern investigations. Participants will explore different types of digital evidence, including computer, network, mobile device, and cloud-based evidence, and understand the techniques and tools commonly employed to collect and analyze these data.
Additionally, the session highlights critical challenges faced in IT forensic investigations, such as rapidly evolving technologies, encryption, data privacy, legal implications, and cross-border jurisdictional issues. Case studies illustrating real-world applications and complexities of IT forensic practices will also be discussed to provide practical insights and contextual understanding.
Participants will leave with a foundational understanding of the IT forensic process, an appreciation of its importance in cybersecurity and law enforcement, and an awareness of current and emerging challenges in the field.
Reiner Creutzburg is a Retired Professor for Applied Computer Science at the Technische Hochschule Brandenburg in Brandenburg, Germany. Since 2019, he has been a Professor of IT Security at the SRH Berlin University of Applied Sciences, Berlin School of Technology.
He is a member of the IEEE and SPIE and chairman of the Multimedia on Mobile Device (MOBMU) Conference at the Electronic Imaging conferences since 2005. He received his Ph.D. from Rostock University, Germany.
In 2019, he was elected a member of the Leibniz Society of Sciences to Berlin e.V. His research interests include Cybersecurity, Digital Forensics, Open Source Intelligence (OSINT), Multimedia Signal Processing, eLearning, Parallel Memory architecture, and Modern Digital Media and Imaging Applications.
The rapid advancement of Large Language Models (LLMs) has catalyzed an AI revolution, bringing us closer to superintelligence. This presentation will explore recent developments in the AI field, current trends, and the anticipated future of AI. While humans often predict a negative future, technological advancements have historically resulted in significant progress. How will this unfold, when will it happen, and in which fields?
With five decades of experience in AI research, Matjaz Gams is a pioneer in the field of superintelligence. His publication record includes approximately 1,000 works, with 150 articles in SCI-indexed journals, several acclaimed computer science publications, and 200 software applications. Notably, he developed HomeDOCtor, a system providing medical advice to residents of Slovenia, which may also become freely available to Macedonia. He has taught around 20 courses across 14 faculties and has organized the Information Society conference for 28 years. He serves as Editor-in-Chief of the journal Informatica, which has been published continuously since 1977. He remains a steadfast advocate for technological and AI advancements aimed at benefiting human society.
GenAI holds transformative potential for the healthcare sector, yet the evaluation of quality, transparency, and rigor in large language model (LLM)-assisted research remains hindered by the absence of standardized guidance. To ensure the safety and effectiveness of these models, human-in-the-loop evaluations are indispensable. Within the ChatMed project we introduce the Human Evaluation Framework (HEF), a structured approach designed to assist researchers in assessing the use of LLMs. The framework not only emphasizes the critical role of human oversight but also highlights its practical implementation through a developed user interface, enabling an integration of human expertise into the evaluation process. The HEF was developed through a targeted review of existing guidelines and evaluation frameworks. Drawing from a thorough analysis of literature on human evaluation methodologies for LLMs in healthcare, we crafted a comprehensive and practical framework. This framework is structured around five key phases of workflow: planning, evaluation metrics, study design, evaluation, and scoring & review. The HEF is organized under five core evaluation principles: technical metrics, quality & reliability, safety & bias, security & privacy, and acceptance. This structured approach ensures a rigorous and systematic evaluation process, aligning with the highest standards of research and application in healthcare.
POSITIONS AND EMPLOYMENT:
EDUCATION/TRAINING:
OTHER EXPERIENCE AND MEMBERSHIPS:
Abstract: Personalized nutrition shows great potential to transform the nutrition landscape by shifting away from generic recommendations towards tailored, efficient, and enduring dietary strategies that prioritize individual health and wellness. However, to effectively support individuals with diverse physiological, genetic, and lifestyle factors influencing their nutritional requirements and food responses, several critical steps must be taken. Firstly, comprehensive data on food composition and nutritional science must be collected, refined, and standardized to enable accurate personalized dietary advice. This involves integrating cutting-edge research and technology to gather detailed information about individual profiles and dietary habits. Moreover, the development of effective nudging strategies is essential to promote healthier eating behaviors within modern society. These strategies leverage behavioral insights and digital tools to encourage individuals to make more informed and sustainable food choices aligned with their personalized nutrition recommendations. In our presentation, we will explore the innovative approaches utilized by computer scientists who are passionate about nutrition. By harnessing computational techniques and interdisciplinary collaboration, these experts are driving advancements in personalized nutrition to empower individuals in optimizing their dietary habits and enhancing overall well-being.
Abstract: TBA
Title: Let food be thy medicine and medicine be thy food
Title: (Cyber) Security Concerns during the ICT Application Domain Expansion
Abstract: Personalized nutrition shows great potential to transform the nutrition landscape by shifting away from generic recommendations towards tailored, efficient, and enduring dietary strategies that prioritize individual health and wellness. However, to effectively support individuals with diverse physiological, genetic, and lifestyle factors influencing their nutritional requirements and food responses, several critical steps must be taken. Firstly, comprehensive data on food composition and nutritional science must be collected, refined, and standardized to enable accurate personalized dietary advice. This involves integrating cutting-edge research and technology to gather detailed information about individual profiles and dietary habits. Moreover, the development of effective nudging strategies is essential to promote healthier eating behaviors within modern society. These strategies leverage behavioral insights and digital tools to encourage individuals to make more informed and sustainable food choices aligned with their personalized nutrition recommendations. In our presentation, we will explore the innovative approaches utilized by computer scientists who are passionate about nutrition. By harnessing computational techniques and interdisciplinary collaboration, these experts are driving advancements in personalized nutrition to empower individuals in optimizing their dietary habits and enhancing overall well-being.
Abstract: TBA
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