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 […]

We are happy to share the great news that the paper “Designing Corporate Hackathons With a Purpose: The Future of Software Development” co-authored by our Associate Professor Alexander Nolte with colleagues from Carnegie Mellon University, Github and Microsoft was named as the Runner-up for the 2019 Best Paper Award from IEEE Software by the IEEE […]

On October 13, Ardi Tampuu defended his PhD thesis „Neural networks for analyzing biological data“. In his thesis, it was demonstrated the benefits of ANNs in analyzing two biological datasets. First, they investigated if based only on the information contained within a DNA snippet it is possible to predict if the snippet originates from a […]

On Friday, August 28 Janno Siim defended his PhD thesis „Non-Interactive Shuffle Arguments„ A fundamental requirement for all democratic governments is a secure voting system. In recent years some countries, like Estonia and Switzerland, have adopted internet voting (i-voting), and many more have experimented (e.g., Norway and Australia) or have plans to adopt it in […]

On the 13th of August Karim Baghery defended his PhD thesis „Reducing trust and improving security in zk-SNARKs and commitments„ in which he studied the zk-SNARKs from two different perspectives, namely reducing trust in their setup phase and improving their security in different applications. On the need for proof systems People frequently are asked to […]

On March 23, Adriano Augusto defended his PhD thesis „Accurate and efficient discovery of process models from event logs„ in which he provided an overview of the available algorithms to perform automated process discovery. They identified deficiencies in existing algorithms, and proposed a new algorithm, called Split Miner, which is faster and consistently discovers more […]

On the 21st of February, Faiz Ali Shah defended his PhD thesis on “Extracting information from app reviews to facilitate software development activities” which evaluates the existing Text Mining techniques for extracting developer-relevant information from app reviews at different levels of granularity, and then combined these techniques to develop a tool REVSUM for competitive analysis. […]