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Thomas Hellström is a Professor at the Department of Computing Science at Umeå University. His research primarily focuses on intelligent robotics and artificial intelligence, with a specific interest in Human-Robot Interaction (HRI). He coordinated the EU project INTRO, which involved six international partners developing intelligent robots for close interactions with humans from 2010 to 2014. Hellström also led the SOCRATES project from 2016 to 2020, aimed at applying social robotics in eldercare. His research group works on comprehensible robotics, integrating natural language processing and deep learning techniques for object detection and human-robot interactions. Furthermore, he has engaged in significant research involving unmanned forest vehicles and autonomous systems, including contributions to various EU projects such as CROPS and SWEEPER, focusing on harvesting robots and sensor technology. Hellström's work has also touched on robot ethics and machine learning biases, contributing to broader discussions in artificial intelligence. His academic journey began with a PhD in machine learning and financial modeling, and he has also been involved in developing advanced control systems for nautical applications. In addition to his research contributions, he supervises several PhD candidates and has been actively publishing in reputable forums.
Requirements are standard for Master's programs across Social Sciences and Humanities at Umeå. English 6 proficiency is the general rule.