Mohamed Abdelrahman shares his journey as a PhD student in the Data Systems Group at the University of Tartu, where he focuses on Automated Machine Learning (AutoML) and aims to make AI more trustworthy and accessible. His story was introduced by Professor Jaak Vilo, Head of the Institute of Computer Science. Describe your thoughts when […]

The 25th International Conference on Product-Focused Software Process Improvement (PROFES) took place in Tartu from December 2–4, 2024. The conference brought more than 50 internationally renowned researchers and industry practitioners to Tartu, for interesting talks and discussions. Most participants came from Europe, mainly from Austria, Finland, Germany, Italy, Spain, and Sweden, but there were also participants from […]

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 […]

We are living in a world in which data is not just getting bigger; it is also getting more and more interconnected. Large graph analytics is a useful tool for gaining insights from large volumes of interconnected data and has applications in various fields such as social media, biology, and telecommunications. An example of the […]

Data privacy has become trending, and nowadays, people are talking more and more about it. With process mining, privacy becomes more relevant. Because process mining makes it easier to expose the actual business reality. With automatic process discovery, we can reverse engineer the activities that have been performed within the organization and the hand-offs between […]

Nowadays, a vast majority of business processes involve many tedious and repetitive tasks, for example transferring data across multiple systems or transforming data from one format to another. These tasks are time-consuming, error-prone, and by themselves do not bring much value to the underlying processes. Their automation can bring many benefits such as error-rate reduction, […]

Modern organizations must constantly adjust their business processes in order to adapt to internal and external changes, such as new competitors, new regulations, customer expectations, or strategic objectives. For example, due to a pandemic, a retailer might experience a 50% increase in their number of online orders; however, during the same time, their volume of […]

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 […]

We are happy to share the great news that the paper “Designing Corporate Hackathons With a Purpose: The Future of Software Development” co-authored by our Associate Professor Alexander Nolte with colleagues from Carnegie Mellon University, Github and Microsoft was named as the Runner-up for the 2019 Best Paper Award from IEEE Software by the IEEE […]

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 March 23, Adriano Augusto defended his PhD thesis „Accurate and efficient discovery of process models from event logs„ in which he provided an overview of the available algorithms to perform automated process discovery. They identified deficiencies in existing algorithms, and proposed a new algorithm, called Split Miner, which is faster and consistently discovers more […]

On the 17th of December, Huishi Yin defended her PhD on “Using a Kano-like Model to Facilitate Open Innovation in Requirements Engineering” which combines a well-known approach to enhance satisfaction of software users, the Kano model, with modern approaches to gather information from online data sources to facilitate open innovation in the context of software […]