University of Tartu Computer Science

07/10/2026

🎉Congratulations! Today Mayowa Olaide Olapade defended his PhD thesis “𝐇𝐮𝐦𝐚𝐧-𝐜𝐞𝐧𝐭𝐞𝐫𝐞𝐝 𝐀𝐮𝐭𝐨𝐧𝐨𝐦𝐨𝐮𝐬 𝐃𝐫𝐨𝐧𝐞 𝐒𝐲𝐬𝐭𝐞𝐦𝐬“. He was supervised by Assoc. Prof. Huber Flores.

In his thesis he investigated how human-centered perspectives can be integrated into the design and deployment of autonomous drones. The central research question is: How can we evaluate human perception of autonomous drones before deploying them, and how can people interact with these drones effectively? To address this question, he presented three human-centered contributions towards autonomous drone deployments.

21/09/2026

Recent incidents involving AI systems acting autonomously have intensified calls for stronger oversight, with researchers warning that safeguards must keep pace as the technology becomes increasingly capable.

💻According to Meelis Kull, Professor of Artificial Intelligence at the University of Tartu Institute of Computer Science, if we keep building increasingly intelligent AI systems without limits, then, based on where things stand today, we don't know how to control an AI that is vastly more intelligent than humans. Until we have better methods of control, we shouldn't build such systems

Recent incidents involving AI systems acting autonomously have intensified calls for stronger oversight, with researchers warning that safeguards must keep pace as the technology becomes increasingly capable.

17/09/2026

📣 Last call for Software Project proposals!

If your company or organisation still has a software idea sitting in a drawer somewhere, today is the day to send it our way.

We are still looking for a few more projects for the University of Tartu’s Software Project course. A project could be a web or mobile application, an internal tool, a prototype, an automation solution or another software challenge that a student team could work on during the semester.

⏰ The deadline for submitting proposals is today, 17 September.
👉 Read more and submit your proposal: https://courses.cs.ut.ee/2026/tvp/fall/Main/CFP
👉 Direct link to the submission form: https://forms.office.com/e/GriCqy00ZS

14/09/2026

👩‍💻💡 Data Science Seminars are back! The first one of the season (and 47th all together) takes place 22 September from 16.15!

We have invited speakers from both industry and the University of Tartu to discuss topics ranging from probabilistic forecasting and virtual power plants to automated electricity trading, dynamic line ratings and high-performance computing:

🔹 Donatas Braziulis, Vice President of Partnerships at Markedroid
🔹 Siim Meeliste, Business Development Manager at STACC
🔹 Markus Lippus, Chief Data Scientist at GridRaven
🔹 Jean-Baptiste Scellier, Data Science Team Lead at Eesti Energia
🔹 Ivar Koppel, Head of the University of Tartu High Performance Computing Center

Whether you already work with energy-related topics or are simply interested in how data and AI are being applied in this field, you are very welcome to join.

More info 👉 https://cs.ut.ee/en/event/data-science-seminar-energy-powering-future-data-and-ai
Register here 👉 https://forms.gle/pMXHk7PaDGpSReTE8

11/09/2026

📣 Got data, but not sure what more you could do with it?

We are looking for project proposals from companies and organisations for the University of Tartu’s Data Science and Machine Learning project courses.

Perhaps you have a dataset you would like to understand better, a process that could benefit from prediction or automation, or an idea for applying machine learning that you have not yet had the time or resources to test. During the semester, a team of students will work on your challenge, explore the data and test possible approaches.

💡 One such project came from accounting software company Trigon. Students developed a machine learning model that could recommend the correct account and VAT code based on purchase invoice data. The results were so promising that Trigon decided to buy the solution from the students and continue using it in its own product.

👉 Read more about the project courses and submit your proposal by 15 September: https://cs.ut.ee/en/course-projects

Read the Trigon success story:
https://cs.ut.ee/en/news/trigon-purchased-students-machine-learning-project-make-accounting-software-smarter

The company Trigon OÜ has decided to integrate into its accounting software a solution developed during a machine learning course at the University of Tartu’s Institute of Computer Science.

08/09/2026

📣 Got a software idea or problem that could use a fresh perspective? We are still looking for project proposals from companies and organisations for the Software Project course.

Perhaps you need a new web or mobile application, a tool to make an existing process easier, or a prototype to test an idea. During the semester, a team of final-year IT students will work on your challenge and develop a software solution using the skills they have gained throughout their studies.

And the result? The solution developed during the project is yours to keep.

👉 Read more and submit your proposal by 15 September: https://courses.cs.ut.ee/2026/tvp/fall/Main/CFP

💡 Want to see what a Software Project can lead to? Read a success story from a previous year: https://cs.ut.ee/en/news/students-software-project-solution-making-lives-researchers-easier

Reocto joined the UT Institute of Computer Science software project course and presented the students with a task to create an innovative solution.

04/09/2026

🎓🍂The first PhD thesis defence of the autumn semester took place today. Congratulations to 𝗠𝗮𝗿𝗶 𝗦𝗲𝗲𝗯𝗮! Her thesis was titled “A Multi-Stakeholder Framework for Comparable and Repeatable Security Level Evaluation in Organizations” and she was supervised by Prof. Raimundas Matulevičius.

In her thesis she created the Framework for Security Level Evaluation (F4SLE). Beyond evaluating an organization’s security level, F4SLE enables sector-based comparison and addresses the diverse needs of NIS2 stakeholders. Its low entry barrier, compliance with standards, and hierarchical structure make self-assessment accessible even for organizations with low digital maturity, while ensuring compliance with privacy requirements. Furthermore, to ensure results remain comparable as threats and standards evolve, the thesis introduces MUSE, a method for updating evaluation instruments without losing the ability to compare new results with previous versions.

The usability of F4SLE was validated by nearly 300 service providers from the EU and Central America. Additionally, the framework’s ability to satisfy NIS2-based user stories for various stakeholders was tested, proving the principle of “collect data once, use it many times.

04/06/2026

The winners of the Student Project Contest 2026 were announced yesterday! Congratulations to all participants and supervisors!

𝐅𝐢𝐫𝐬𝐭-𝐘𝐞𝐚𝐫 𝐁𝐚𝐜𝐡𝐞𝐥𝐨𝐫’𝐬 𝐂𝐚𝐭𝐞𝐠𝐨𝐫𝐲
🥇PunanePastakas – Karl Elmar Vikat, Elias Mikael Teikari, Oliver Iida
🥈Little Lilies – Tuuli-Mia Haas, Eleonoora Kõrge
🥉 Self-hostable Male Server – Artus Leo Marco Klemm, Kirke Karolin Tark, Madis Roosmaa

𝐁𝐚𝐜𝐡𝐞𝐥𝐨𝐫’𝐬 𝐂𝐚𝐭𝐞𝐠𝐨𝐫𝐲
🥇Kultuuriajakirja AKADEEMIA kaardistamine – Hendrik Matvejev, Riki-Taavi Nurm
🥈Automated Swimming Analysis – Philip Paškov
🥉BACHLOG. Veebirakendus bakalaureuse õppeplaani koostamiseks ja valideerimiseks Tartu Ülikoolis – Alexandra Voit

𝐌𝐚𝐬𝐭𝐞𝐫’𝐬 𝐂𝐚𝐭𝐞𝐠𝐨𝐫𝐲
🥇Kidney Tumor Conditional Generation via Latent Diffusion – Salme Ussanov
🥈AlignXAI: Aligning Local Explanation Rankings with User-Specific Preferences – Kelem Negasi Amare
🥉Player-Prompted 3D Model Generation Game Mechanics – Henri Sellis

🏆𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐏𝐫𝐢𝐳𝐞𝐬
𝐓𝐡𝐞 𝐀𝐮𝐝𝐢𝐞𝐧𝐜𝐞 𝐀𝐰𝐚𝐫𝐝. Development of a Nvidia Jetson platform for the KuupKulgur prototype – Jako Aimsalu
𝐓𝐡𝐞 𝐁𝐞𝐬𝐭 𝐃𝐞𝐦𝐨. Magnetroid: Magnetic Precision Platformer – Richard Miikael Jaks
𝐓𝐡𝐞 𝐖𝐨𝐥𝐟𝐫𝐚𝐦 𝐒𝐩𝐞𝐜𝐢𝐚𝐥 𝐏𝐫𝐢𝐳𝐞. ZK-proctor – Sofia Scalzo

🔹𝐁𝐞𝐬𝐭 𝐏𝐫𝐞𝐬𝐞𝐧𝐭𝐚𝐭𝐢𝐨𝐧 𝐨𝐧 𝐭𝐡𝐞 𝐍𝐞𝐰 𝐏𝐫𝐨𝐣𝐞𝐜𝐭 𝐏𝐥𝐚𝐭𝐟𝐨𝐫𝐦 https://projects.cs.ut.ee/. Reflexions 2.0 – Gesture-Based Interactive Art – Elina Meier

Explore all the projects here👉 https://courses.cs.ut.ee/.../student.../Main/2026-05