About ICIST 2024

14th International Conference on Information Society and Technology will take place on Kopaonik, Serbia on Mar 10-13, 2024.

ICIST Conference series is one of the top IT scientific events in the region, with 60-100 papers presented each year, average of 200 participants per edition, attended also by the number of IT industry representatives in the region. It hosts distinguished scientists keynotes (in past years, we were honored to share the stage with Richard Mark Soley, Orri Erling, Howard Moskowitz, Bran Selić and others), scientific sessions, panel discussions, industry presentations with exciting social programme for motivated and successfull networking. It is a perfect venue for networking, dissemination of recent research results, getting new project ideas, finding new scientific partners and bringing great vibes back home.

The conference is open for all scientific contributions to the different areas of ICT. It also welcomes technical papers with case studies and demonstrations of novel ICT technologies and approaches in industry and society. It hosts loyal research communities dealing with the areas of information systems, model-based software engineering, e-government, big data, biomedical engineering, semantic web research and since recently, Internet of Things.

All accepted papers will be published in ISOS Conference Proceedings Series (ISOS-CPS, ISSN: 2738-1447) book (978-86-85525-24-7) with title Proceedings of the 13th International Conference on Information Society and Technology or Springer's Lecture Notes book. Past editions of the online proceedings can be viewed here: ICIST2014, ICIST2015, ICIST2016, ICIST2017, ICIST2018, ICIST2019, ICIST2020, ICIST2021, ICIST2022, ICIST2023.

ICIST Keynotes

Vladimir Crnojević, BioSense Institute

Prof. Vladimir Crnojević is Director of the BioSense Institute - R&D institute for information technology in biosystems, with application of micro and nanotechnology sensors, Internet of Things, robotics, remote sensing, artificial intelligence in various bio fields, with special interest in digital agriculture. Prof. Crnojević is a Full Professor in Computer Sciences at the University of Novi Sad, Serbia and has been Associate Professor Extraordinary at the Department of Mathematical Science, Stellenbosch University, South Africa. He has Phd degree in Electrical Engineering and he acted as Director of EE Department at the University of Novi Sad from 2012-2015, after which he has founded the BioSense Institute – the regional leader in EU projects, including flagship projects such as ANTARES, IoF2020 – Internet of Food and Farm 2020 and SmartAgriHubs. He is at the position for director of BioSense Institute since its establishment. BioSense Institute is R&D organization aiming at strong cooperation with industry and promotion of innovation and application of R&D results in business solutions. BioSense has run a significant number of accelerator programmes through which more than 200 innovative SMEs were funded. He is consultant for various international organizations. His current research interests include artificial intelligence, image processing, remote sensing, and robotics with application in agrifood and biosystems.

Vladan Devedžić, University of Belgrade, Faculty of organizational sciences

Vladan Devedžić is a professor of Computer Science and Software Engineering at the University of Belgrade, Faculty of Organizational Sciences. He is the founder and head of the research group focused on Artificial Intelligence (GOOD OLD AI research network). He is also the founder of the Artificial Intelligence Laboratory at his home faculty. He received the Annual Award of the University of Belgrade for the greatest research contribution (2006) and the award for one of the three best projects in the field of educational technologies at the annual Online Educa Berlin meeting, Berlin (2015). Since 2021, he has been a corresponding member of the Serbian Academy of Sciences and Arts (SASA) at the Department of Technical Sciences. Vladan Devedžić’s continuous professional goal is to bring together ideas from the field of Artificial Intelligence / Intelligent Systems and Software Engineering. His current interests include programming education, software engineering, intelligent software systems, and technology-enhanced learning. He has authored/co-authored more than 380 research papers, published in international and national journals or presented at international and national conferences, as well as six books on intelligent systems and software engineering. Some of his papers have been selected by foreign editors and published in books on artificial intelligence systems. He has also given more than 20 invited talks, keynote talks and plenary talks at international conferences, as well as more than 20 tutorials. His international research cooperation and collaboration record includes universities and research institutes from EU, USA, Canada, Japan, Australia, New Zealand, India and China.

Dragan Savić, CEO, KWR Water Research Institute

Professor Dragan Savić is the CEO of KWR Water Research Institute in the Netherlands. Before joining KWR he was Director and co-founder of the Centre for Water Systems at the University of Exeter, an internationally recognised group for excellence in water and environmental science research. Dragan Savić is the first Professor of Hydroinformatics (water and informatics) in the UK having held this post at the University of Exeter since 2001, where he is still engaged on a part-time basis. His research interests cover the interdisciplinary field of Hydroinformatics, which transcends traditional boundaries of water/environmental sciences, informatics/computer science (including Artificial Intelligence, data mining and optimisation techniques) and environmental engineering. His recent work has concentrated on the theoretical development and application of Artificial Intelligence methods that have been applied to many fields of environmental science and engineering, including Smart Water Systems and Digital Water Transformation. He is elected Fellow of the UK Royal Academy of Engineering (FREng) and a member of the European Academy of Sciences (EURASC).

Hervé PANETTO, University of Lorraine, France

Dr. Hervé PANETTO is a Professor of Enterprise Information Systems at University of Lorraine. He teaches Information Systems modelling and development at TELECOM Nancy and conducts research at CRAN (Research Centre for Automatic Control), Joint Research Unit with CNRS where he is managing a research project on the use of neuro-symbolic AI for formalising models related to the interoperability of cyber-physical-social systems. He is working on the cyber-physical systems smart interoperability with neuro-symbolic techniques and cognitive digital twins. He is expert at AFNOR (French National standardisation body), CEN TC310 and ISO TC184/SC4 and SC5. He participated in many European projects including IMS FP5-IST Smart-fm project (awarded by IMS) and the FP6 INTEROP NoE (Interoperability Research for Networked Enterprises Applications and Software). He is author or co-author of more than 200 papers in the field of Automation Engineering, Enterprise Modelling and Enterprise systems integration and interoperability. He is Editor-In-Chief of the Annual Reviews in Control, and member of various Editorial Boards, member of the Advisory Board of the Digital Twin International Journal (DTIJ), and the Regional Associate Editor Europe of the international Journal of Intelligent Manufacturing (JIM), Springer; He serves as Associate Editor of the Enterprise Information Systems (EIS) journal, Taylor & Francis, the IEEE Internet of Things Journal, the Journal of Industrial Information Integration (JIII), Elsevier, the Engineering Applications of Artificial Intelligence (EAAI), Elsevier, and the Journal SN Computer Science (SNCS), Springer Nature. He has been elected Fellow of the Academia Europaea (Academy of Europe), Fellow of the AAIA (Asia-Pacific Artificial Intelligence Association) and Fellow of the AIIA (Artificial Intelligence Industry Alliance).

 

 

ICIST Special Tracks

ICT for health, well-being and sport

Organisers:

  • prof. Miroslav Trajanović. Faculty of Mechanical Engineering, University of Niš, Niš, Serbia
  • prof. Nenad Filipović. Faculty of Engineering, University of Kragujevac, Kragujevac, Serbia BIOIRC Bioengineering Research and Development Center, Kragujevac, Serbia
  • prof. dr Anton Kos. Faculty of Electrical Engineering, University of Ljubljana, Slovenia, Ljubljana, Slovenia
  • prof. dr Osiris Canciglieri Jr. Pontifical Catholic University of Parana – PUCPR / PPGEPS, Curitiba, Brasil

One of the greatest social challenges today is addressing many different concerns and issues related to healthcare and well-being. These challenges include, but are not restricted to, improving the understanding of the causes and mechanisms connected to health; ability to monitor, prevent, detect, and treat disease; personalize health and care delivery. For addressing such challenges, a new approach is needed, which will transform the health and care delivery. This approach is proactive rather than reactive. Healthcare should evolve mechanisms for early risk detection, shifting from the acute treatment to long-term health monitoring. Instead of focusing on single disease treatment, healthcare systems should become capable of handling multiple chronic conditions and comorbidities at the same time. Care delivery should become pervasive, not exclusively institutional. Finally, the generic treatment approach should be abandoned, and care should become more personalized.

Although health is an important, if not necessary, component of well-being, physical activities such as recreation and sports are a good way to maintain and improve it. With the rapid advancement and affordability of miniature, wearable sensor devices, new approaches to quantifying and qualifying our physical activities are possible. For example, innovative applications based on sensor data will contribute to faster, cheaper and safer physical rehabilitation programs, personalized recreational plans, and in-depth analysis of athletes' performance in different sports.

Advanced ICT technologies will play a crucial role in this transformation. Health-related data will grow and will have accurate and useful digital representations. Predictive computing, used by the care providers and customers, will use health-related data to facilitate early risk detection and self-management of health and disease. Health systems will become interoperable. Robotic systems, driven by artificial intelligence will enable assisted living, in smart, age-friendly homes. Biofeedback applications in healthcare, sport, recreation, and rehabilitation will enable an easier and faster way to achieving the desired results. They will assist individuals, healthcare personnel, and trainers in many ways; from influencing the physiological processes in the human body, to motor learning in sports and rehabilitation.

With this session, we aim to uncover the current research in the above mentioned topics and topics closely related to them. All relevant contributions are strongly welcomed.

 

Pre-trained Large Language Models

Organisers:

  • Prof. dr Aleksandar Stanimirović (Faculty of Electronic Engineering, University of Niš, Serbia)
  • Prof. dr Miloš Bogdanović (Faculty of Electronic Engineering, University of Niš, Serbia)

Pre-trained Large Language Models (LLMs), such as GPT, BERT, LLaMA, and T5, have drastically transformed the field of artificial intelligence with their capabilities for understanding and generating natural language. These language models have proven valuable in diverse applications and domains, including virtual assistants, recommendation systems, content generation models like ChatGPT, and text-to-image models such as DALL-E. Despite their widespread adoption, there are various challenges associated with building and utilizing these models. The fundamental questions to address today are: How can we ensure that LLMs are fair, safe, privacy-preserving, explainable, and controllable? 
The special track will cover two main themes: 

  1. Recent advancements in foundational LLMs and their applications in different domains. 
  2. Identifying open issues and challenges related to building trustworthy LLMs. 

We invite submissions focused on recent advances and applications of large language models (LLMs) with a particular emphasis on enhancing trust in the use of LLMs.

Techniques

  • Innovative model architectures for LLMs, such as Transformer architectures and attention mechanisms.
  • Advanced algorithms for improving performance, cost-effectiveness, robustness, and complexity of LLMs.
  • Techniques for model transfer and compression techniques in the context of LLMs.
  • Federated Learning approaches tuned for LLMs.
  • Prompt Engineering methods tuned for LLMs.

Applications

  • Innovative applications of LLMs in various domains, such as medicine, education, business, finance, etc.
  • Educational technologies leveraging LLMs, such as chat-bots, content generation, feedback systems, etc.
  • Utilization of LLMs for natural language understanding and generation tasks, such as storytelling, marketing copywriting, etc.
  • Application of LLMs for health care, protein synthesis, etc.

Challenges

  • Addressing data labeling and quality concerns associated for training LLMs.
  • Privacy and security risks of models and data used by LLMs.
  • Potential bias and unfairness in the output of LLMs
  • Human oversight and intervention mechanisms for controlling LLMs.
  • Hallucination detection and alleviation for LLMs.
  • Exploration of ethics, social economics, and trustworthiness of LLMs.
  • Emergent behavior in LLMs.

 

Digital Water

Organizers:

  • Milivojević, Nikola (nikola.milivojevic@gmail.com). Jaroslav Černi Institute, Belgrade, Serbia
  • Stojanović, Boban (boban.stojanovic@vodena.rs). Department of Mathematics and Informatics, Faculty of Science, University of Kragujevac, Kragujevac, Serbia
  • Stojković, Milan (milan.stojkovic@ivi.ac.rs). The Institute for Artificial Intelligence Research and Development of Serbia, Novi Sad, Serbia.

Digital water refers to the integration of digital technologies into water management systems. It encompasses the collection, analysis, and utilization of data through advanced technologies like sensors, software, and predictive analytics to enhance the operation, maintenance, and planning of water resources management. The concept of digital water is increasingly important as cities and countries face the challenges of climate change, urbanization, and aging infrastructure, which place additional pressures on water resources. Digital water strategies are seen as essential for ensuring the sustainable management of this critical resource.

Authors are encouraged to submit papers on topics relevant to this session that include, but are not limited to the following:

  • Data Acquisition: Using sensor networks, IoT devices, remote sensing, and smart meters to collect real-time data on water quality, quantity, distribution, and consumption.
  • Data Analysis: Applying big data analytics, machine learning, and AI to interpret the large volumes of data collected, with the goal of identifying patterns, predicting demands, and detecting potential system failures.
  • System Optimization: Using the insights gained from data analysis to optimize water distribution, reduce waste, enhance water treatment processes, and improve the efficiency and sustainability of water systems.
  • Digital Twins: Creating digital replicas of physical water systems to simulate and analyze operations and predict the outcomes of changes or policy implementations.
  • Smart Infrastructure: Implementing smart pumps, valves, and grids that can respond dynamically to changes in demand or supply conditions, often in an automated fashion.
  • Customer Engagement: Engaging with end-users through digital platforms to provide them with insights into their water usage, promote water conservation, and improve service delivery.

 

Digital Agriculture: The Synergy of AI and Cutting-Edge Technologies

Organizers:

  • Msc Željana Grbović, BioSense Institute, University of Novi Sad, Serbia
  • dr Oskar Marko, BioSense Institute, University of Novi Sad, Serbia
  • dr Goran Kitić, BioSense Institute, University of Novi Sad, Serbia

The Digital Agriculture Track delves into the transformative power of Artificial Intelligence (AI) in reshaping agricultural practices. As Digital Agriculture undergoes a profound shift driven by advanced Information and Communication Technologies (ICT), the integration of AI algorithms, image processing, and data analytics is the key. These innovations redefine efficiency and precision in agriculture, launching in a new era of technological advancements.

Machine learning, a subset of AI, takes a central role in deciphering complex patterns in agricultural data, enabling informed decision-making and resource optimization. Proximal sensing sensors deliver real-time, high-resolution crop and environmental data, facilitating precision agriculture interventions. Additional in-field data are provided by IoT sensors that are able to monitor soil and microclimate conditions to optimize agricultural production. The hardware revolution in Digital Agriculture introduces Unmanned Ground Vehicles (UGV) and robotic platforms tailored for field and orchard management. These systems navigate challenging terrains with precision, transforming traditional orchard practices and promising increased yields. Elevating precision agriculture, Unmanned Aerial Vehicles (UAVs) equipped with advanced imaging technology provide a bird's eye view for detailed analysis. This aerial perspective enables swift identification of crop health issues and timely intervention.

The synergy of AI algorithms, image processing, machine learning, proximal IoT-based and in-situ sensing sensors, advanced hardware, UGVs, robotics platforms, and UAVs is steering a paradigm shift in agriculture. Digital Agriculture not only promises increased productivity but also advocates for sustainable and resource-efficient practices in this dynamic landscape.

Additionally, in the era marked by climate change concerns, the track also underscores how AI can play a pivotal role in promoting sustainability through the optimized management of vital resources like water and soil.

This specialized track invites contributions spanning a wide spectrum of interdisciplinary research and applications centered around AI, robotics and sensors in agriculture. The track aims to serve researchers, practitioners, and industry experts to engage in discussions about the challenges and opportunities inherent in the fusion of AI and Agriculture. By fostering an environment for informal discussions, this track aims to facilitate knowledge exchange and collaboration, paving the way for advancements at the intersection of AI and Agriculture. We eagerly anticipate your submissions and the opportunity to connect with you.

 

 

 

Important Dates

1 Dec 15

Track Proposals

2 Feb 01

Abstract Submission

3 Feb 15

Notification on abstract acceptance

4 May 20

Deadline for submission of full papers

5 Mar 01

Conference Registration

6 Mar 10

Conference is Opened

 

Prepare for ICIST2024

Here we go! Preliminary program of ICIST 2024 conference has been published. Download it here. Please, before packing your bags, do not forget to register to the conference here. Note that the inclusion of your paper in the conference proceedings is conditioned to yours or one of your co-authors' participation.

How to prepare for presenting your work

Since its beginning, ICIST conferences cherish the spirit of discussion and knowledge exchange. In attempt to avoid "run-and-gun" practice due to lack of time for discussions, we invite you to hold on to the following presentation rules, to the best possible extent:

  • If you are invited to present your work at the oral session, you will be allocated (by the session chair) with max of 8 minutes for the presentation of your contribution, and 4-5 minutes for the discussion afterwards. In order to use it in the most efficient way, please follow the guidelines below:
    • Focus only on the work presented in this paper; avoid spending too much time on giving the credit to the project(s), labs and organizations that supported your work.
    • Your presentation should follow the structure of the typical research paper. Present motivation and research problem (question) on one slide, methodology on another, your solution on 1-2 slides, application (if any) on the last one.
    • Do not go into the details. Note that the key objective of your presentation is to share your results and get some feedback. Hence, the others must UNDERSTAND these results.
    • Please, arrive at the room at least 10 mins before the start of the session to which you are invited, even if the previous session is late. Bring the slides at USB stick for the most convenient and efficient setup. Each of the rooms will be offering a laptop, connected to Internet and there will be a technician to assist you if you have any problems in running your slides. If you absolutely must present the work from your laptop, please bring the zoo of connectors you believe you may need to connect to the video projector.
  • If you are invited to present your work at the poster session, please prepare the poster in advance. There is no specific template for poster, use the space according to your preferences. Print the poster (please bring at least two printed copies, just in case) in A1 format and bring it with you. Flipchart stands will be waiting for you in the hall in front of the Pančić room to setup your posters. Please, come to the room at least 15 mins before the designated start of the session to which you are invited.

 

Contact us if you need any help

If you have any questions on the travel logistics and accommodation, please contact the conference secretariat by using email: yuinfo.icist@gmail.com. For questions related to scientific programme, contact the co-chairs by using email milan.zdravkovic@gmail.com.

Download ICIST 2024 programme 

Download calendar file with programme 

 

Call for contributors

This year, we welcome both extended abstracts and full paper submissions.

Contributions submitted as full papers before the deadline (strict deadline of 1.2.2024) will undergo single blind review and be considered for publication in the Springer's Lecture Notes book.

Contributions submitted as extended abstracts will undergo double blind review and be considered for publication in ISOS Conference Proceedings Series (ISOS-CPS, ISSN: 2738-1447) online book (978-86-85525-24-7) with title Proceedings of the 14th International Conference on Information Society and Technology.

We moved to using a new submission platform: Microsoft's Conference Management Toolkit (CMT). You can submit both extended abstract and full paper, here, after registering to the platform.

Call for extended abstracts

We welcome submission of extended abstracts presenting original unpublished work which is not been submitted for publication elsewhere. Initial submissions must comply to the specific requirements, as it follows.

Download the template for extended abstract, here. The extended abstract must consicely and clearly highlight all following aspects: research motivation and the problem, the research question(s), methodology, description of the solution and/or the discussion. The evaluation of the extended abstracts will be double-blind. Thus, author names, addresses, emails and affiliations MUST NOT be included in the extended abstract. The extended abstract must be created by using the template below, submitted in PDF format, and it MUST NOT exceed 4 A4 pages including figures. Only key references should be included.

The authors of the extended abstracts will be invited to submit full papers after the conference. Those papers will be published in ISOS Conference Proceedings Series (ISOS-CPS, ISSN: 2738-1447) online book (978-86-85525-24-7) with title Proceedings of the 14th International Conference on Information Society and Technology.

Submit the extended abstracts, here.

Call for full papers

The authors are invited to prepare the full papers by using this template. Full papers must not be shorter than 8 pages and no longer than 16 pages, after using the above template. The use of template is mandatory and the authors are invited to fully comply to formatting instructions. The authors are invited to strictly follow instructions for authors.

Accepted full papers presented in the regular sessions and special tracks will be published in Springer's Lecture Notes book. If review results with the reject decision, the paper will be considered for publishing in ISOS Conference Proceedings Series book. 

In order to have the submitted full paper published in the Proceedings books, at least one author or co-author must have been registered at the conference and presented the paper.

Submit the full paper, here.

ICIST 2024 Committees

Organizing Committee (OC) is in charge for the organization of the conference. All decisions related to the scientific programme are made by the International Programme Committee (IPC), based on the peer review process, coordinated by the IPC co-chairs. Track chairs are in charge of setting up a scientific programme in the specific topics, which are decided upon based on the submitted track proposals.

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Zora Konjović

Novi Sad, Serbia
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Milan Zdravković

Niš, Serbia
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Miroslav Trajanović

Niš, Serbia
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Nenad Filipović

Kragujevac, Serbia
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Dražen Drašković

Belgrade, Serbia
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Miodrag Ivković

Novi Sad, Serbia
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Alexis Aubry

Nancy, France
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Zorica Bogdanović

Belgrade, Serbia
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Miloš Bogdanović

Niš, Serbia
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Osiris Canciglieri Jr.

Curitiba, Brasil
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Igor Dejanović

Novi Sad, Serbia
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Tijana Geroski

Kragujevac, Serbia
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Stevan Gostojić

Novi Sad, Serbia
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Željana Grbović

Novi Sad, RS
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Luka Humski

Zagreb, Croatia
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Dragan Ivanović

Novi Sad, Serbia
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Valentina Janev

Belgrade, Serbia
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Dorina Kabakchieva

Sofia, Bulgaria
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Goran Kitić

Novi Sad, RS
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Aleksandar Kovačević

Novi Sad, Serbia
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Eduardo R. Loures

Curitiba, Brazil
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Oskar Marko

Novi Sad, RS
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Aleksandar Milenković

Niš, Serbia
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Nikola Milivojević

Belgrade, Serbia
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Gordana Milosavljević

Novi Sad, Serbia
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Aleksandar Milosavljević

Niš, Serbia
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Néjib Moalla

Lyon, France
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Hervé Panetto

Nancy, France
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Branko Perišić

Novi Sad, Serbia
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David Romero

Mexico
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Ioan Stefan Sacala

Bucharest, Romania
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Milan Segedinac

Novi Sad, Serbia
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Jean Marcelo Simão

Curitiba, Brazil
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Dubravka Sladić

Novi Sad, Serbia
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Jaka Sodnik

Ljubljana, Slovenia
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Aleksandar Stanimirović

Niš, Serbia
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Suzana Stojković

Niš, Serbia
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Kristina Stojmenova

Ljubljana, Slovenia
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Anderson Luis Szejka

Curitiba, Brasil
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Smiljana Tomašević

Kragujevac, Serbia
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Milan Trifunović

Niš, Serbia
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Milan Vidaković

Novi Sad, Serbia
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Jovanka Vukmirović

Belgrade, Serbia
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Aleksandra Vulović

Kragujevac, Serbia
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Georg Weichhart

Austria
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Miroslav Zarić

Novi Sad, Serbia
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Nemanja Zdravković

Belgrade, Serbia
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Žarko Ćojbašić

Niš, Serbia

About the venue

Grand Hotel & Spa Kopaonik

Venue photo

Kopaonik is a mountain in the central part of Serbia and the largest mountain range in the country. The highest point is the Pančić's Peak with 2,017 m. Kopaonik is a major ski resort in Serbia, and after Bulgaria's Bansko, the largest in Southeast Europe. There are 25 ski lifts with capacity of 32,000 skiers per hour.

Grand Hotel & Spa is situated at an exclusive location, near the ski slopes and ski lifts in the beautiful environment of the National Park Kopaonik. Premium comfort and convenience in 221 guest rooms and suites, complemented by numerous facilities for relaxation and enjoyment throughout the year, including spa & wellness area, congress center, fitness center, sports hall, space bowling center and a la carte restaurant Garden.

Contacts

Registration and conference logistics: office AT yuinfo.org

Scientific programme: Milan Zdravković, milan.zdravkovic AT gmail.com