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, […]
Illuminating the Mysteries of Our Genetic Blueprint
Imagine a room with millions of mysterious switches and hundreds of ceiling lamps. You don’t know which switch does what, […]
TestADS’24: First International Workshop on the Testing of Automated Driving Systems
Together with colleagues from the UK and Sweden, the UT Institute of Computer Science is organizing the first international workshop […]
Ivan Slobozhan „Studying Online Social Media Engagement in SIC Countries during Protests, Mass Demonstrations and War“
Protests and conflicts have become influential forces for bringing about change and shaping the political and social landscapes not only […]
Mobiilirakenduste kvaliteedi analüüs rõhuga turvalisusele
You can find out more about Kristiina Rahkema’s PhD thesis in English here. Nutitelefonidest on saanud meie elu lahutamatu osa. […]
Shakshi Sharma: “Fighting Misinformation in the Digital Age”
With the development of Online Social Media (OSM) platforms like Twitter and Facebook, the way individuals connect and exchange information […]
Rahul Goel: “Mining Social Well-being Using Mobile Data”
Building healthy relationships and meaningful interactions with those around us is essential for social well-being. These interactions with our friends, […]
Mohammad Anagreh: “Privacy-preserving parallel computations for graph problems”
Introduction: Privacy-preserving computation is a crucial discipline that protects the privacy of confidential data while facilitating secure analysis. In graph […]