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 […]

Sulev Reisberg töötab Tartu Ülikooli arvutiteaduse instituudis selle nimel, et selgitada välja, milline on Eesti rahva tervis ja kuidas seda tõhusamalt ravida. Arvutid ja programmeerimine huvitasid mind juba lapsest saati. Lõin arvutimänge ja veebilehti ning seetõttu tundus loomulik samm minna ülikooli IT-d õppima. Pärast Tallinna Tehnikaülikoolis omandatud magistrikraadi olin aga kindel, et teadus pole minu […]

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 […]

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 […]

Kristo Raun kaitses 2024. aastal Tartu Ülikoolis doktorikraadi informaatika erialal. Praegu tegutseb ta arvutiteaduse instituudis õppejõuna ning juhib taskuhäälingusaadet „Laomees ja torumees“. Teda usutles andmeteaduse õppetooli juhataja professor Jaak Vilo. Sa said hiljuti valmis oma doktoritöö andmetehnikast ja alustasid nüüd andmeteaduse lektorina. Kirjelda palun paari lausega oma doktoritööd. Uurisin oma doktoritöös seda, kuidas teha äriprotsesside […]

E-õppe algusajaks Tartu Ülikoolis võib pidada aastat 1998, kui saadi Avatud Eesti Fondi  rahastus projektile “Avatud Ülikool kaasaegseks kaugkoolituskeskuseks”. 2023. aasta maikuus möödus sellest ajast täpselt 25 aastat. Arvutiteaduse instituudi pikaajaline vanemmetoodik Tiina Lasn, kes seda projekti juhtis, jagab järgnevalt oma mõtteid ja meenutusi. Kuidas siis täpsemalt meil e-õppega alustati?  Avatud Eesti Fondi projekti “Avatud […]

Imagine a room with millions of mysterious switches and hundreds of ceiling lamps. You don’t know which switch does what, but you’re curious. As you experiment with different combinations, the lamps’ brightness varies. This scene is a simple metaphor for the complex challenge of genomics research – understanding how different genetic ‘switches’ affect our health. […]

Protests and conflicts have become influential forces for bringing about change and shaping the political and social landscapes not only on a local demographic level but also on a global scale. In the modern Internet and online social media era, protests have increasingly utilized digital platforms to facilitate discussions, coordinate actions, and spread respective agendas. […]

With the development of Online Social Media (OSM) platforms like Twitter and Facebook, the way individuals connect and exchange information has changed dramatically. These platforms have, however, also led to the problem of misinformation, which can quickly spread on a global scale, and once it has been disseminated, it can be hard to stop. It […]

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 […]

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 […]

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 […]