Conference Topics


Information Systems
  • Big Data Innovations
  • IS Research Design and Methods
  • IS Security, Privacy and Ethics
  • Business Models and Business Processes
  • Advances in IS Programs and Education
  • eServices
Intelligent Systems
  • Knowledge Graphs
  • Machine Learning
  • Data Mining and Knowledge Discovery
  • Intelligent Search and Information Retrieval
  • Responsible AI
  • Computer Vision
  • Modelling, Clustering, Virtualization, SOA
  • P2P, IoT, Mobility
  • Application-specific Grid and Cloud


MIRACle: Modeling Urban Robotic Assistance

First annual meeting and workshop of the University of Sofia "St. Kliment Ohridsky" participation in the project Creation and development of Center of Competence in Mechatronics and clean technologies (MIRACle) is focused on present-day advancements in the fields of embedded systems, mobile robotics and autonomous human assistance. Main research topics: - Modeling robotic architecture and components for autonomous Mechatronics services in urban environment

  • Prototyping system functions of mobile surface and airborne robotic assistants
  • Data services for sensor streaming
  • High level and intelligent control techniques for mobile robotics
  • Scalable multi-agent, peer-to-peer and distributed embedded systems

eHealth: IS in Healthcare

Globally, e-Health is now an important research topic. The recent ICT innovations contribute significantly to better solutions to different healthcare applications. Some issues such as quality of health data, the use of the obtained information in a healthcare context, ethical, privacy, and security issues of health data, etc. are still challenging. The workshop seeks for professionals and researchers to share their ideas, expertise, conceptual and empirical research that enhance our knowledge in the design and implementation of health information systems and technologies in different directions of eHealth in Bulgaria and beyond.

UNITe: Effective Use of Data, Models and Computing

The phenomenon of increasing volumes of data generated by research and industry as well as the strengthening of requirements for data management and data sharing has led to the tendency to shift the focus of R&D activities to creating new methods for using available data more effectively by providing interoperability at different levels, working with properly generated low volumes of data and extracting the largest possible value from unstructured, diverse data sources. The principles and methodologies of machine-actionability (i.e., the capacity of computational systems to find, access, interoperate, and reuse data with none or minimal human intervention) are one of the main areas of research within the WP3 “Innovative Mathematical Methods and Models in the Digital World” in the framework of the project UNITe, financed by the European Regional Development Fund through the Bulgarian Operational Programme “Science and Education for Smart Growth”. The main objective of the workshop is to provide opportunities to discuss new ideas and results in the thematic areas of effective use of data and the creation of efficient computational models.