Satish Narayana Srirama spent 11 years at the University of Tartu, from 2009 to 2020, first as a postdoctoral researcher and later as Professor of Internet of Things. Today he is a professor at the University of Hyderabad, while remaining connected to Tartu as a visiting professor and honorary head of the Mobile & Cloud […]

Radwa El Shawi shares her journey and research at the University of Tartu, at the Chair of Data Science, where she focuses on democratizing machine learning to make AI more accessible, explainable, and human-centered. She was interviewed by Professor Jaak Vilo, Head of the Institute of Computer Science. How did you start doing science and […]

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, […]

You can find out more about Pavlo Tertychnyi’s PhD thesis here.  Money laundering represents a substantial risk to global financial systems, allowing criminals to conceal the illegitimate origins of funds and integrate them into the lawful economy. Its repercussions extend beyond financial ramifications, encompassing the destabilization of financial systems, threats to national security, and the erosion […]

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. […]

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 […]

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 […]