About ICIST 2019

9th International Conference on Information Society and Techology will be held on Kopaonik, Serbia on Mar 10-13, 2019.

ICIST Conference series is one of the top IT scientific events in the region, with 70-100 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 ICIST digital repository. Past editions of the online proceedings can be viewed here: ICIST2014, ICIST2015, ICIST2016, ICIST2017, ICIST2018.

List of accepted special tracks:

Special Track: Semantic technologies for Big Data: Volume, Velocity, Variety and Veracity, chaired by: Jens Lehmann, Emanuel Sallinger and Valentina Janev

Special Track: Artificial Intelligence-enabled Enterprise Information Systems, chaired by: Milan Zdravković and Hervé Panetto

Special Track: ICT for Automotive, chaired by: Jaka Sodnik, Kristina Stojmenova, Ivana Dusparić, Nadica Miljković and Sara Tement

Special Track: ICT for health,aging and well-being, chaired by: Miroslav Trajanović, Anton Kos and Osiris Canciglieri Jr.

Disrupting innovation in IT

The expectations of the society from IT industry to resolve ever lasting issues, combined with new environmental and societal challenges of the changed world received a big boost with the emergence of recent so called disruptive innovations in IT. Instead of sustainably developing the existing paradigms and approaches, disruptive innovation displace the established technologies, shakes up the industry with ground-breaking products and services and create whole new markets.

The expectations of the society from IT industry to resolve ever lasting issues, combined with new environmental and societal challenges of the changed world received a big boost with the emergence of recent so called disruptive innovations in IT.

Instead of sustainably developing the existing paradigms and approaches, disruptive innovation displace the established technologies, shakes up the industry with ground-breaking products and services and create whole new markets.

The key focus of the 9th ICIST edition is on 'Disrupting IT'. According to Forrester Research analysis (2017), technologies with the most disruptive potential today are: Internet-of-Things, Intelligent Agents, Augmented and Virtual Reality, AI/Cognitive and Hybrid wireless. With addition of the most recent outbrake of Blockchain hype, that is the list we use to set the bar for 2019' ICIST.

Still, the world cannot wait for all those technologies to mature or die before they pass the long valley of death from research to innovation. Thus, ICIST remains and it will always be open for so called sustaining IT, bringing incremental and stable improvements in solving the societal challenges. The scientific topics that were continuously and consistently addressed in the past remain a big priority in paper selection. Those topics are:

 

Information Systems

Systems Engineering. Enterprise Architecture and Modelling. Service-Oriented Architectures. Web Information Systems. Integration and Interoperability. Embedded Systems. Computer and Networks Security. Business Process Management...

 

Software Engineering

Artificial Intelligence. Algorithms and Data Structures. The Software Process. Databases. Model-Driven Software Engineering. Domain Specific Languages. Machine Learning. Information Retrieval. Data Mining. Human-Computer Interaction...

 

Information Society

Open Data. Open Government. E-Government. E-Learning. E-Health. Digital Libraries. ICT Ethical Aspects. Virtual Communities. Social Networking and Broadcasting. Electronic Data Interchange. Cloud Computing...

 

ICT and Societal Challenges

Energy and Environment. Biomedical Engineering. Mechanical Engineering. Electrical Engineering. Food and Agriculture. Transport. Secure Societies. Inclusive Societies...

ICIST Keynotes

Jožek Gruškovnjak

Jožek Gruškovnjak, International Executive, Strategy Consultant, Entrepreneur, Slovenia

Jožek is a multilingual international executive, strategy consultant and entrepreneur with over 30 years of experience in leadership positions within information technology and telecommunications industries. Currently working as an independent strategy consultant, Jožek is advising senior executives in telecommunication services providers, medium-sized and large enterprises and technology companies. Focusing on overall business and go-to-market strategies, IT strategy and operations optimization, the overarching objective is improving clients’ business performance and profitability.

Jožek built his consulting practice and experience as director in Cisco Systems’ strategy consulting team – the Internet Business Solutions Group (IBSG) – where he led geography practice for Latin America, Middle East and Africa. He and his team worked with key service providers, enterprises and governments, on business strategies, new services, service delivery and business models, ICT enabled economic development and business transformation, and technology enabled productivity improvement.

Before joining IBSG Jožek held various leadership positions in Cisco's sales organization in EMEA. As general manager for South East Europe he built the regional organization and drove significant business growth in the region. He has been instrumental in developing key relationships with governments and business leaders, helping them understand and take advantage of new technologies and business models. Earlier in his career Jožek was an entrepreneur – he established and held executive positions with the leading Slovenian networking integrator, NIL. Before establishing NIL, he worked as an independent IT consultant and as student research associate at the Jozef Stefan Institute in Ljubljana, Slovenia.

Born and educated in Slovenia Jožek holds an MBA from IEDC Bled School of Management and B.Sc. in computer sciences from University of Ljubljana. As an accomplished speaker he is fluent in English, Spanish, Serbian, Croatian and Slovenian, and also speaks German.

Žarko Milošević

Žarko Milošević, Assistant Professor at Singidunum University and Senior Research Scientist at Interchain Foundation, Serbia

Žarko Milošević obtained a Doctor of Science (PhD) degree in Distributed Systems from EPFL in 2013. Before PhD, he finished Master in Computer Science at EPFL in 2008 and obtained a dipl.ing. degree in Electrical Engineering (Computer Science) from School of Electrical Engineering, University of Belgrade, in 2006. He worked as a software engineer for several companies in Switzerland.

He worked as a software engineer for several companies in Switzerland. Currently, he works as an Assistant Professor at Singidunum University and as a research scientist at Interchain Foundation (https://interchain.io/) leading R&D activities for the Tendermint (https://tendermint.com/) and Cosmos (https://cosmos.network/) projects. Tendermint is a Byzantine-fault tolerant state machine replication middleware that is at the core of ecosystem of Proof-of-Stake blockchains that are part of the Cosmos, network of blockchains.

The talk will explain the role of the well-known consensus problem in the new context of blockchain systems. More precisely, we will explain the benefit of consensus based blockchain systems, but also new engineering and research challenges in this application domain. We will also introduce two open source blockchain projects Tendermint (https://tendermint.com/), a Byzantine fault tolerant state machine replication middleware and Cosmos (https://cosmos.network/), a decentralised network of independent blockchain systems.

ICIST Special Tracks


Semantic technologies for Big Data: Volume, Velocity, Variety and Veracity

Session supported by LAMBDA project, https://project-lambda.org/

With characteristics like Volume, Velocity, Variety and Veracity, Big Data throws challenges to the existing IT establishments. Researchers and professionals face challenges when exploring Big Data sets and when extracting value and knowledge from different data sources. 

Although various modelling approaches and schemes have been proposed by the Semantic Community that could contribute to standardization of the Big Data pipelines and development of Big Data applications, specific approaches for Big Data applications are required.

In this special session we seek to raise discussion on:

  • How could Data Semantics principles be applied in Big Data technologies e.g. representing the entire pipeline of technologies connected to achieve a specific solution and make this representation shareable and verifiable in different cases?
  • How could various analytical techniques including data mining, visualization, statistical analysis, and machine learning be applied in Big Data scenarios?
  • What are the challenges raised by Big Data computing systems?
  • What are the architectures, strategies and practices that are currently followed in Big Data computing?

Additional topics relevant to this session include — but are not limited to — the following:

  • Artificial Intelligence / machine learning algorithms
  • Knowledge graphs and NoSQL databases
  • Centralized, federated, and distributed SPARQL query processing
  • SPARQL Analytical Queries
  • Security and privacy in querying the Web of Data
  • Interoperability and Integration in different domains
  • Analytics Services in Big Data applications (Geospatial Data Management, Renewable Energies,  Energy Efficiency, Healthcare, eGovernment, Sustainable and Smart Cities, IoT applications, etc)
  • Big Data Analytics, Industry Analytics

This session is intended to be a meeting point for the research communities of semantic data management, analytics and Big Data. For providing a forum for sharing novel ideas, SemTech session welcomes a broad spectrum of contributions, including: Full research papers, position papers, case studies or evaluations. Authors are invited to submit original, unpublished contributions related to the aforementioned topics.

Co-chairs:

  • Lehmann, Jens (jens.lehmann@cs.uni-bonn.de). Smart Data Analytics Group, University of Bonn, Bonn, Germany Enterprise Information Systems, Fraunhofer IAIS, , Germany
  • Sallinger, Emanuel (emanuel.sallinger@cs.ox.ac.uk). Department of Computer Science, University of Oxford, , UK
  • Janev, Valentina (valentina.janev@institutepupin.com). University of Belgrade, Institute Mihailo Pupin, Belgrade, Serbia

ICIST Special Tracks


Artificial Intelligence-enabled Enterprise Information Systems

Capacity and capability to adapt has become a key factor of competitiveness in the industry today. It can be considered on both micro and macro levels and it encompasses range of circumstances, from the optimal operational response to disturbances at the shop floor level, to business decisions related to changing market trends. To some extent, the capacity to adapt is related to access to relevant data, owned by the enterprise or from external providers, while capability corresponds to the enterprise ability and skills to effectively interpret, understand and process this data and make best informed decisions on the industry’s operations and market environment trends. The former (capacity to adapt) is/will be achieved in so-called sensing enterprise, the enterprise which continuously listens to its internal and external environment, by using the technologies such as sensors, embedded electronics and multi-agent systems. The paradigms of Cyber-Physical Systems and Internet of Things are considered as critical enablers for the sensing enterprise development strategies. The latter (capability to adapt) is related to making sense of all this data and it is expected to be achieved in so-called AI-enabled enterprise.

Enterprise Information Systems (EIS) aim to solve common problems, such as lack of process automation, flexibility, responsiveness, scalability, traceability and integration in as less as possible intrusive way. However, they often fail to address those issues consistently and the typical reason for that is complexity of the process of EIS development and/or implementation in which different and diverse stakeholders fail to effectively communicate around the business objectives and key factors for their achievement. Complexity is multiplied with the factor of long duration of the software development lifecycle in which those objectives could easily become legacy. Emerging solution to this problem is Model-Driven Engineering (MDE) which facilitates near real-time system customization and efficient response to a change. However, MDE relies on the human perceptions of the realities of the enterprise which are sometimes incomplete or inaccurate. AI-enabled enterprise would effectively address this challenge by embedding machine-learned understanding of the enterprise realities represented by raw data, into the respective models. Furthermore, AI-enabled enterprise is capable to implement those models and to make decisions based on those models in a real-time.

The objective of this Special Track is to provide evidences on the maturity of the technologies which facilitate AI-enabled EIS, where this maturity may be considered at the levels of development, implementation and integration with existing EIS. Technologies that are commonly known as parts of AI stack are Machine Learning (including Deep Learning), Natural Language Processing (NLP) and knowledge representation and reasoning. Different industries would be taken into account, such as manufacturing, logistics, banking and finance, agriculture, healthcare and others. In those domains, SI seeks for the solutions to the common problems, such as process automation, process mining and discovery, security, compliance, decision making support, image recognition and processing, marketing automation, negotiation automation, etc.

The Special Track seeks for original contributions in using so-called AI technologies, namely data science and predictive analytics, Machine Learning (including Deep Learning), Natural Language Processing (NLP), knowledge representation and reasoning and similar, in the following topics and fields:

  • Decision making support
  • Process automation
  • Process discovery and mining
  • Marketing automation
  • Smart Customer Relationship Management
  • Smart Human Resources Management
  • Facilitating AI models development lifecycle
  • Cloud-based AI platforms and services
  • AI-enabled software agents
  • Business models for AI-enabled enterprises
  • AI-enabled blockchain
  • AI-enabled Cyber-Physical Systems
  • AI-enabled Internet of Things
  • Legal issues of AI-enabled enterprises
  • Security issues of AI-enabled enterprises
  • Maturity models for AI-enabled enterprises
  • Applied AI-enabled EIS solutions in different domains
  • Other relevant topics and fields

Co-chairs:

  • Zdravković, Milan (milan.zdravkovic@gmail.com). Faculty of Mechanical Engineering, University of Niš, Niš, Serbia
  • Panetto, Hervé (herve.panetto@univ-lorraine.fr). Research Center for Automatic Control of Nancy (CRAN), Université de Lorraine, Nancy, France

ICIST Special Tracks


ICT for Automotive

The automotive is experiencing a drastic increase in use of ICT and IoT in the past few decades with the purpose of increasing driver safety and improving driver experience. With the introduction of autonomous vehicles, the importance and presence of ICT in the automotive field has become inevitable.  It is no doubt that autonomous vehicles will reduce road accidents and contribute to increased road safety, however there are a lot of questions that remain unanswered on how to get to full automation.

Within this track we would like to address different ICT challenges in automotive sector by inviting speakers from academia and industry to elaborate on the topic and present different points of view.

This track welcomes research in this field, especially in the (but not limited to) following topics:

  • In-vehicle HCI
  • Driver evaluation and human factor
  • Autonomous / automated driving
  • Connected vehicles

This track is supported by:

  • University of Ljubljana, Faculty of Electrical Engineering, Slovenia
  • Nervtech simulation technologies: Nervtech is a leading company in the field of promoting and improving driving safety.

Co-chairs:

  • Sodnik, Jaka (jaka.sodnik@fe.uni-lj.si). Faculty of Electrical Engineering, University of Ljubljana, Slovenia, Ljubljana, Slovenia
  • Stojmenova, Kristina (kristina.stojmenova@fe.uni-lj.si). Faculty of Electrical Engineering, University of Ljubljana, Slovenia, Ljubljana, Slovenia
  • Dusparić, Ivana (ivana.dusparic@scss.tcd.ie). Trinity College Dublin, Dublin, Ireland
  • Miljković, Nadica (nadica.miljkovic@etf.rs). University of Belgrade, Belgrade, Serbia
  • Tement, Sara (sara.tement@um.si). University of Maribor, Maribor, Slovenia

ICIST Special Tracks


ICT for health,aging and well-being

One of the greatest social challenges today is addressing many different concerns and issues related to healthcare, aging and well-being. These challenges include, but are not restricted to, improving the understanding of 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, generic treatment approach should be abandoned, and care should become more personalized.

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 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 human body, to motor learning in sports and rehabilitation.

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

Co-chairs:

  • Trajanović, Miroslav (traja@masfak.ni.ac.rs). Faculty of Mechanical Engineering, University of Niš, Niš, Serbia
  • Kos, Anton (anton.kos@fe.uni-lj.si). Faculty of Electrical Engineering, University of Ljubljana, Slovenia, Ljubljana, Slovenia
  • Canciglieri Jr., Osiris (osiris.canciglieri@pucpr.br). Pontifical Catholic University of Parana – PUCPR / PPGEPS, Curitiba, Brasil

Important Dates

1 Dec 01

Track Proposals

2 Jan 24

Abstract Submission

3 Feb 15

Decisions Sent to Authors

4 Feb 24

Conference Registration

5 Mar 10

Conference is Opened

6 Apr 15

Full Paper Submission

ICIST 2019 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.

Author photo

Zora Konjović

Novi Sad, Serbia
Author photo

Milan Zdravković

Niš, Serbia
Author photo

Miroslav Trajanović

Niš, Serbia
Author photo

Miodrag Ivković

Novi Sad, Serbia
Author photo

Martina Laskač

Belgrade, Serbia
Author photo

Alexis Aubry

Author photo

Miloš Bogdanović

Niš, Serbia
Author photo

Zorica Bogdanović

Belgrade, Serbia
Author photo

Osiris Canciglieri Jr.

Curitiba, Brasil
Author photo

Carlos Coutinho

Lisbon, Portugal
Author photo

Mariana Damova

Sofia, Bulgaria
Author photo

Igor Dejanović

Novi Sad, Serbia
Author photo

Dejan Drajić

Novi Sad, Serbia
Author photo

Ivana Dusparić

Dublin, Ireland
Author photo

Stevan Gostojić

Novi Sad, Serbia
Author photo

Wided Guédria

Luxembourg
Author photo

Luka Humski

Zagreb, Croatia
Author photo

Lidija Ivanović

Sombor, Serbia
Author photo

Dragan Ivanović

Novi Sad, Serbia
Author photo

Valentina Janev

Belgrade, Serbia
Author photo

Ricardo Jardim-Goncalves

Caparica, Portugal
Author photo

Dorina Kabakchieva

Sofia, Bulgaria
Author photo

Theo Kanter

Kista, Sweden
Author photo

Nikola Korunović

Niš, Serbia
Author photo

Anton Kos

Ljubljana, Slovenia
Author photo

Aleksandar Kovačević

Novi Sad, Serbia
Author photo

Mario Lezoche

Nancy, France
Author photo

Eduardo R. Loures

Curitiba, Brazil
Author photo

Ivan Luković

Novi Sad, Serbia
Author photo

Zoran Marjanović

Belgrade, Serbia
Author photo

Ivan Milentijević

Niš, Serbia
Author photo

Nadica Miljković

Belgrade, Serbia
Author photo

Gordana Milosavljević

Novi Sad, Serbia
Author photo

Branko Milosavljević

Novi Sad, Serbia
Author photo

Maria Mimikou

Athens, Greece
Author photo

Siniša Nešković

Belgrade, Serbia
Author photo

Siniša Nikolić

Novi Sad, Serbia
Author photo

Đorđe Obradović

Author photo

Dušan Okanović

Novi Sad, Serbia
Author photo

Hervé Panetto

Nancy, France
Author photo

Mirjana Pejić Bach

Zagreb, Croatia
Author photo

Erik Proper

Luxembourg
Author photo

David Romero Diaz

Mexico
Author photo

Ioan Stefan Sacala

Bucharest, Romania
Author photo

Joao Sarraipa

Caparica, Portugal
Author photo

Goran Savić

Author photo

Milan Segedinac

Novi Sad, Serbia
Author photo

Jean Simao

Curitiba, Brazil
Author photo

Goran Sladić

Novi Sad, Serbia
Author photo

Jelena Slivka

Novi Sad, Serbia
Author photo

Jaka Sodnik

Ljubljana, Slovenia
Author photo

Richard Mark Soley

Needham, USA
Author photo

Paulo Cézar Stadzisz

Curitiba, Brazil
Author photo

Kamelia Stefanova

Sofia, Bulgaria
Author photo

Leonid Stoimenov

Niš, Serbia
Author photo

Kristina Stojmenova

Ljubljana, Slovenia
Author photo

Anderson Luis Szejka

Curitiba, Brasil
Author photo

Milan Trifunović

Niš, Serbia
Author photo

Anton Umek

Author photo

Milan Vidaković

Novi Sad, Serbia
Author photo

William Wei Song

Borlänge, Sweden
Author photo

Georg Weichhart

Steyr-Gleink, Austria
Author photo

Miroslav Zarić

Novi Sad, Serbia
Author photo

Jelena Zdravković

Kista, Sweden
Author photo

Žarko Ćojbašić

Niš, Serbia
Author photo

Jens Lehmann

Bonn, GermanyGermany
Author photo

Emanuel Sallinger

UK
Author photo

Sara Tement

Maribor, Slovenia

Call for contributors

Call for initial submissions

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.

The initial submissions must be made by using EasyChair platform, in the form of extended abstract. 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 initial submissions will be peer reviewed by IPC members. After the decisions are distributed, the authors with accepted submissions will be invited to submit full papers for publishing in the ICIST 2019 Proceedings book. The specific deadline for full papers will be May, 1st, 2019 (template for full papers can be downloaded here). In order to have the submitted full paper published in the Proceedings book, at least one author or co-author must be registered at the conference and present the paper in regular or poster session. When submitting the extended abstract for a special track, select the special track title in the submission form.

Call for Special track proposals

We invite researchers to propose tracks on their particular field of interest, within the scope of the ICIST conferences. There should be one to three track co-chairs in each track and one of the co-chairs should be designated as the primary contact person. The responsibilities of the co-chairs are defined, as it follows.

The co-chairs will promote the special track and take actions to ensure an adequate number of submissions. Minimum number of accepted papers for a succesful special track is 6 in regular sessions + 2 in poster. The special track co-chairs will organize a peer review process for the extended abstracts submitted to their track and propose the list of the papers to be included in the conference programme to IPC co-chairs. At least one of the co-chairs must be registered to the conference and serve as a session chair in his/her own track.

The proposal for a special track must enclose the title and short abstract, list of co-chairs with their affiliations, list of potential reviewers, overview of the scientific communities (associations, working groups, standardization bodies, project consortiums, etc.) which the co-chairs will address and a proposal for a keynote. Special track proposals should not exceed 2 A4 pages and they should be sent by email to the programme chair.

For each of the succesful tracks/special sessions, the organizer will cover the costs of stay (3 nights/HB) and registration costs for one person. Local transport arrangements also possible.

Download template   Submit abstract

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

Accommodation and transfer: SMART Travel, office AT smart-travel.rs, +381 11 308 66 94

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