22nd International Conference on Informatics and Information Technologies

April, 25-27 2025, Strumica, North Macedonia

Welcome

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Overview

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).

Date and venue

April 25-27, 2025

Hotel Sirius – Strumica, North Macedonia

Conference Schedule

The detailed conference schedule is available via the Schedule Menu Link.

CIIT 2025: General Schedule

 

Friday, 25 April 2025

Time

Activity

09.30 - 10.30

Registration

11.00 - 12.00

Session 1:
Technology-Enhanced Learning
Chair: Vladimir Trajkovikj, PhD
(Hall 1)

Session 2:
Language Technologies and Knowledge-Driven Systems
Chair: Riste Stojanov, PhD
 (Hall 2)

Workshop: ChatMED
(Hall 3)

 

 

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);

Workshop: MKSafeNet - Safer Internet for Kids
The workshop will present and discuss ways to raise awareness and knowledge among children, families, and educators about responsible use of the Internet.
(Hall 5)

13.00 - 14.00

Lunch break

14.00 - 15.00

15.00 - 15.10

Opening Ceremony (Hall 1)

15.10 - 16.10

Invited Speaker: Matjaz Gams - "From LLMs to Superintelligence" (Hall 1)

16.10 - 16.30

Coffee break

16.30 - 18.30

Session 3:
AI for Health, Environment, and Human-Centered Intelligence
Chair: Monika Simjanoska, PhD
(Hall 1)

Session 4:
Innovative Systems and Security Solutions
Chair: Bojana Koteska, PhD
(Hall 2)

Automated Learning Techniques - panel discussion
(Hall 3)

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)

20.00

Dinner (Live Band)

 

Saturday, 26 April 2025

Time

Activity

08.30 - 09.30

Registration

09.30 - 11.30

Session 5:
Machine Learning and Large Language Models
Chair: Ivan Kitanovski, PhD
 (Hall 1)

Session 6:
General Computing 
Chair: Biljana Stojkoska, PhD
(Hall 2)

From 10.00: Workshop: ChatMED (Hall 3)

11.30 - 12.00

Coffee break

12.00 - 13.00

Invited Speaker: Reiner Creutzburg - "IT Forensics – An Overview" (Hall 1)

13.00 - 14.30

Lunch break

14.30 - 16.30

Student Session 1 
Chair: Ilinka Ivanoska, PhD
(Hall 1)

Session 7:
CyberMACS: Security, AI, Forensics
Chair: Reiner Creutzburg, PhD
(Hall 2)

Workshop: ChatMED (Hall 3)

16.30 - 17.00

Coffee break

17.00 - 17.45

Invited Speaker: Stevo Lukic - "Human evaluation framework within the ChatMed project" (Hall 1)

17.45 - 19.45

Student Session 2
Chair: Bojan Ilijoski, PhD
(Hall 1)

Student Session 3
Chair: Aleksandar Stojmenski, PhD
(Hall 2)

Session 8:
CyberMACS 2: Security, Privacy
Chair: Ivan Chorbev, PhD
(Hall 3)

20.15

Gala Dinner (Live Band)

 

 

 

Sunday, 27 April 2025

Time

Activity

10.30 - 11.00

Closing Ceremony

11.00 - 13.00

Social activities

 

Invited Speakers

Prof. Dr. Reiner Creutzburg

Prof. Dr. Reiner Creutzburg

Professor of Appl. Computer Science, TH Brandenburg
Professor for IT Security, SRH Berlin, Germany
Title: IT Forensics – An Overview
Abstract:

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.

Prof. Dr. Reiner Creutzburg

Prof. Matjaz Gams

Ph.D., Department of Intelligent Systems, Jozef Stefan Institute, Ljubljana, Slovenia
Title: From LLMs to Superintelligence
Abstract:

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.

Prof. Stevo Lukic, MD, PhD

Associate Professor, Department of neurology, Medical Faculty, University of Nis, Serbia Clinic of neurology, University clinical center Nis, Serbia
 
Title: Human evaluation framework within the ChatMed project
Abstract:

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:

  • Department of neurology, School of medicine, University of Nis, Serbia, Ass. Professor
  • Epilepsy Department, Clinic of neurology, University Clinical Centre Nis, Nis, Serbia, Consultant
  • European Commission / Research Executive Agency, Brussels, Belgium, Expert evaluator [per contract]

EDUCATION/TRAINING:

  • Subspecialisation: Clinical neurophysiology with epileptology. Medical School, University of Nis, Serbia (2017)
  • Ph.D. thesis: “Prediction of clinically important outcomes in neurology disorders using artificial neural network and regression analysis” Multidisciplinary study in Neuroscience, University of Belgrade, Serbia (2013)
  • Diploma in Clinical neurology. University College London, Institute of Neurology & NHNN, Queen Square, London, UK (2003)
  • Specialization: Neurology. Medical School, University of Nis, Serbia (2002)
  • Doctor of medicine, Medical School, University of Nis, Serbia (1995)

OTHER EXPERIENCE AND MEMBERSHIPS:

  • International League against epilepsy, national chapter, vice-president
  • American Academy of neurology, member
  • Mensa International, member

Scope

  • Artificial Intelligence, Robotics, Bioinformatics
  • Big Data
  • Deep Learning
  • Multimedia, Signal Processing
  • Blockchain
  • Computer Networks 
  • Sensor Networks
  • Image Processing and Machine Vision
  • Distributed Systems
  • Computer Architecture and Parallel Processing
  • Cloud and GRID Computing
  • Wireless and Mobile Computing
  • Cyber Security and Cryptography
  • Theoretical Foundations of Informatics
  • Applied Mathematics
  • E-Technologies, E-Commerce and E-Business
  • ICT in Education
  • ICT in Agriculture
  • Ambient Assisted Living
  • ICT in Architecture
  • Green ICT

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

Invited Talks

Prof. Barbara Koroušić Seljak, PhD
Computer Systems Department,
Jožef Stefan Institute, Ljubljana, Slovenia

Prof. Hassan Dag, PhD
Computer Systems Department,
Jožef Stefan Institute, Ljubljana, Slovenia

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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