On 25 January, Mahir Gulzar defended his doctoral thesis „Addressing Real-world Scenarios via Motion Prediction in Autonomous Driving“. To mark the occasion, Professor Jaak Vilo, Head of the Institute of Computer Science, interviewed Mahir about how his journey in the world of research has unfolded. If you had to describe your PhD in one sentence […]

On 13 January, Viacheslav Komisarenko defended his doctoral thesis “Aligning Training Loss to Evaluation Metrics in Deep Learning”. To mark the occasion, Professor Jaak Vilo, Head of the Institute of Computer Science, interviewed Viacheslav about how his journey in the world of research has unfolded. What did you enjoy about working with formal models, proofs […]

Radwa El Shawi shares her journey and research at the University of Tartu, at the Chair of Data Science, where she focuses on democratizing machine learning to make AI more accessible, explainable, and human-centered. She was interviewed by Professor Jaak Vilo, Head of the Institute of Computer Science. How did you start doing science and […]

On 15 January 2026, Marharyta Dominich defended her doctoral dissertation titled “Advancing human-centric counterfactual explanations in explainable AI” (supervised by Raul Vicente and Eduard Barbu). On this occasion, Professor Jaak Vilo, Head of the Institute of Computer Science, spoke with Marharyta about her journey into research so far and the possible next steps in her […]

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 […]

Kaur Alasoo, Associate Professor of Bioinformatics at the Institute of Computer Science, University of Tartu, has combined computer science and molecular biology in his research to find new ways of predicting the effects of genetic variants and to better understand rare diseases. He was interviewed by Professor Jaak Vilo, Head of the Chair of Data […]

With a passion for artificial intelligence and a journey spanning academia and industry across Europe, Asad Munir brings a global perspective to the University of Tartu’s Institute of Computer Science. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You came lately to Estonia to the Institute of Computer Science […]

Djeane Debora Onthoni has joined the Health Data and AI research group at the University of Tartu’s Institute of Computer Science, bringing international expertise in applying AI to health data analysis and precision medicine. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You recently came to Estonia to the […]

Abbas Cheddad is an Associate Professor of Applied Data Science at the Institute of Computer Science. His research focuses on computer vision, applied machine learning, and image processing and analysis. He was interviewed by professor Jaak Vilo, Head of the Chair of Data Science. You came lately to Estonia to the Institute of Computer Science […]

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 […]

You can find out more about Abasi-Amefon Obot Affia’s PhD thesis here.  In the dynamic world of the Internet of Things (IoT), ensuring robust security is paramount. As IoT systems become increasingly integrated into various sectors, the complexity of managing security risks escalates. Recognising this challenge, the IoT Architecture-based Security Risk Management (IoTA-SRM) framework has been introduced, […]

Jaak Vilo, Kallol Roy Algorithmics (MTAT.03.238) is an obligatory course in the Computer Science MSc curriculum. As such it is intended to remind everyone of the foundations of algorithms and data structures but also to go beyond and teach some more advanced concepts (like succinct data structures, for example).  The course aims at linking different […]