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 […]

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 […]

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 […]

The article was translated and published in English by the University of Tartu. It was initially published in Estonian in Eesti Ekspress by Greete Lehepuu. The cover of the September issue of Communications of ACM, the most prestigious journal in computer science, featured an article led by University of Tartu researchers. The article proposes steps to tackle one of […]

Oma ligi 80-aastase ajaloo juures on elektronarvutid fundamentaalselt muutnud info kogumist, töötlust ja kommunikatsiooni. Kiirete numbriliste arvutuste võimaldajast (computer oli ametinimetus käsitsi arvutajatele, peamiselt tegelesid sellega meestest palju hoolikamad naised) sai kuuekümnendatel ettevõtete andmete, palgatšekkide ja reserveeringute haldaja. Kui 1980ndatel jõudsid personaalarvutid ja tabelarvutus massidesse, kadusid masinakirjutajad. Edasi avas ülemaailmne võrk Internet ligipääsu kaugel olevale […]

On December 21, Madis Vasser defended his PhD thesis „Testing a Computational Theory of Brain Functioning with Virtual Reality“. In his thesis, he investigated the concept of active inference (AI) using virtual reality (VR) devices. During the work they developed VR software, conducted experiments on human study participants and compiled a set of guidelines for […]

Ülikooli rahastus pole mõeldud töökohtade hoidmiseks, vaid ikka eelduste loomiseks ja riigi arendamiseks. Oma koht on siin ka välistudengitel ja rahvusvahelistumisel. Selgitan seda informaatika kõrghariduse näitel. On suurepärane, et meil toimub arutelu kõrghariduse ja teaduse rolli üle Eesti riigi, kultuuri ja rahvuse säilimisel. Just selles kontekstis vastan Jaak Valge küsimusele «Kas välisüliõpilasele stipendiumi maksmine tõstab […]

On the 6th of June 2019, the paper “D2IA: Stream Analytics on User-Defined Event Intervals” won the best paper award in the 31st International Conference on Advanced Information Systems Engineering (CAiSE’19), which was written by Ahmed Awad, Riccardo Tommasini, Mahmoud Kamel, Emanuele Della Valle and Sherif Sakr. CAiSE is one of the oldest and top […]

Author: Phuong Nguyen “High-performance computing (HPC) is the use of super computers and parallel processing techniques for solving complex computational problems. Nowadays, HPC plays an important role in the field of computational science, and are used for a wide range of computationally intensive tasks in various fields, including quantum mechanics, weather forecasting, climate research, oil […]

Write-up by Ilya Kuzovkin of our publication in Nature Communications Biology that is a result of a long research carried out by myself, Jaan Aru and Raul Vicente from Computational Neuroscience Lab and our collaborators from Neuroscience Research Center in Lyon, France. Human visual cortex, the system we use to perceive the world around us, consists […]