Kaur Alasoo: Scientific discoveries are born through collaboration and data sharing
Kaur Alasoo, Associate Professor of Bioinformatics at the Institute of Computer Science, University of Tartu, has combined computer science and […]
International experience and the future of artificial intelligence
With a passion for artificial intelligence and a journey spanning academia and industry across Europe, Asad Munir brings a global […]
How to integrate artificial intelligence and precision medicine?
Djeane Debora Onthoni has joined the Health Data and AI research group at the University of Tartu’s Institute of Computer […]
A scientist fascinated by the learning ability of computers
Abbas Cheddad is an Associate Professor of Applied Data Science at the Institute of Computer Science. His research focuses on […]
Kui andmed räägivad: visuaalsed lood Eesti tervisest
Maarja tegutseb arvutiteaduse instituudis terviseinformaatika nooremteadurina ja loob oma teadustöös võimalusi terviseandmete visualiseerimiseks ja andmestike võrdlemiseks visuaalsete vahenditega. Teda usutles […]
Kristo Raun: andmetest seoste ja mustrite leidmine on põnev
Kristo Raun kaitses 2024. aastal Tartu Ülikoolis doktorikraadi informaatika erialal. Praegu tegutseb ta arvutiteaduse instituudis õppejõuna ning juhib taskuhäälingusaadet „Laomees […]
PROFES 2024 in Tartu: A Global Forum for Software Process Innovation
The 25th International Conference on Product-Focused Software Process Improvement (PROFES) took place in Tartu from December 2–4, 2024. The conference brought more […]
Tiina Lasn meenutab, kuidas 25 aastat tagasi e-õpe meie juurde tuli
E-õppe algusajaks Tartu Ülikoolis võib pidada aastat 1998, kui saadi Avatud Eesti Fondi rahastus projektile “Avatud Ülikool kaasaegseks kaugkoolituskeskuseks”. 2023. […]
Abasi-Amefon Obot Affia: „A Framework and Teaching Approach for IoT Security Risk Management“
You can find out more about Abasi-Amefon Obot Affia’s PhD thesis here. In the dynamic world of the Internet of Things (IoT), […]
Pavlo Tertychnyi: „Machine Learning Methods for Anti-Money Laundering Monitoring“
You can find out more about Pavlo Tertychnyi’s PhD thesis here. Money laundering represents a substantial risk to global financial systems, […]