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 […]

Together with colleagues from the UK and Sweden, the  UT Institute of Computer Science is organizing the first international workshop on the Testing of Automated Driving Systems (TestADS). The workshop takes place in Toronto, Canada, as part of the 17th IEEE International Conference on Software Testing, Verification and Validation (ICST’24). The TestADS workshop aims to […]

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 […]