Protests and conflicts have become influential forces for bringing about change and shaping the political and social landscapes not only on a local demographic level but also on a global scale. In the modern Internet and online social media era, protests have increasingly utilized digital platforms to facilitate discussions, coordinate actions, and spread respective agendas. […]

With the development of Online Social Media (OSM) platforms like Twitter and Facebook, the way individuals connect and exchange information has changed dramatically. These platforms have, however, also led to the problem of misinformation, which can quickly spread on a global scale, and once it has been disseminated, it can be hard to stop. It […]

Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph problems, secure multiparty computation (SMC) presents a promising approach to performing these functionalities. This article delves into the notable advancements in privacy-preserving parallel algorithms recently introduced in a Ph.D. thesis. By integrating graph algorithms with […]

On the 9th of December Jakob Mass defended his PhD thesis on „Process management for Internet of mobile things“. The Internet of Things (IoT) promotes solutions such as a smart city, where everyday objects connect with info systems and each other. One example is a road condition monitoring system, where connected vehicles, such as buses, […]

On the 30th of September, Mubashar Iqbal defended his PhD. thesis on “Reference Framework for Managing Security Risks Using Blockchain” which addresses the problem of traditional applications’ security risk management (SRM) using blockchain as a countermeasure solution and the SRM of blockchain-based applications. In the digital realm, software security has the utmost importance in making […]

Machine Translation is a quickly growing field of Natural Language Processing (NLP) that automatically translates a text from one language to another without human involvement.  In recent years, the use of machine translation systems has increased dramatically. Today machine translation is used not only by translation agencies but also by people using online machine translation […]

More than 2000 participants were involved in cyber defence exercise Locked Shields 2022 that took place from April 19 to 22. This year, one of the venues of the event was the Delta Centre in Tartu. Employees of the HPC Center of the University of Tartu and the Institute of Computer Science participated in the […]

We are currently in the process of significant changes in the communications paradigms. Among others, one of the changes is moving to cloud-based services instead of using local applications (Office365, Youtube, Spotify, etc.). We can argue about the motivation of this trend, but this allows us to provide the customers with the most up-to-date solutions […]

Researchers from the University of Tartu’s Institute of Computer Science are taking part in the EU Horizon project SPATIAL (Security and Privacy Accountable Technology Innovations, Algorithms and Machine Learning), which aims to develop resilient accountable metrics, privacy-preserving methods, verification tools and system solutions that will serve as critical building blocks for trustworthy AI in ICT […]

The article was translated and published in English by the University of Tartu. It was initially published in Estonian in Eesti Ekspress by Greete Lehepuu. The cover of the September issue of Communications of ACM, the most prestigious journal in computer science, featured an article led by University of Tartu researchers. The article proposes steps to tackle one of […]

On September 25, Orlenys López Pintado defended his PhD thesis „Collaborative Business Process Execution on the Blockchain: The Caterpillar System“. In his thesis, Orlenys addressed the problem of automating the execution of collaborative business processes on top of blockchain technology in a way that takes advantage of the trust-enhancing capabilities of this technology while offering […]

On the 21st of February, Faiz Ali Shah defended his PhD thesis on “Extracting information from app reviews to facilitate software development activities” which evaluates the existing Text Mining techniques for extracting developer-relevant information from app reviews at different levels of granularity, and then combined these techniques to develop a tool REVSUM for competitive analysis. […]