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 […]

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 […]

You can find out more about Abasi-Amefon Obot Affia’s PhD thesis here.  In the dynamic world of the Internet of Things (IoT), ensuring robust security is paramount. As IoT systems become increasingly integrated into various sectors, the complexity of managing security risks escalates. Recognising this challenge, the IoT Architecture-based Security Risk Management (IoTA-SRM) framework has been introduced, […]

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. […]

You can find out more about Kristiina Rahkema’s PhD thesis in English here.  Nutitelefonidest on saanud meie elu lahutamatu osa. Iga asja jaoks on olemas äpp: sõnumite saatmiseks, internetipanga külastuseks, auto lukust avamiseks. Kahjuks on paljud neist rakendustest ebaturvalised. Turvavigu on avastatud sellistes rakendustes nagu Facebook, TikTok ja WhatsApp. Nende turvavigade raskusaste võib ulatuda andmelekkest […]

Building healthy relationships and meaningful interactions with those around us is essential for social well-being. These interactions with our friends, family, and colleagues might occur in person, over mobile phones, or through social media platforms like Facebook or WhatsApp. The purpose of this article is to comprehend social well-being using mobile phones. This is conceivable […]

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 […]

Kea Kohv, Master Student in Data Science An interactive tool developed by Data Science Master’s student Kea Kohv helps find highly rated and popular data science books sold on Amazon. A query for data science books on Amazon returns thousands of results. That is a lot to skim through. In addition, if searching for highly […]

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 […]

On the 13th of December Lidia Feklistova defended her PhD thesis on „Learners of an introductory programming MOOC: background variables, engagement patterns and performance” We constantly improve our knowledge and skills to be successful. Participation in massive open online courses (MOOCs) supports ongoing professional development and lifelong learning. Keeping in mind the huge number of participants in […]