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Nils Carlsson is an Associate Professor in the Department of Computer and Information Science (IDA) at Linköping University, Sweden. His research is centered around artificial intelligence, machine learning, and data mining. Key areas of his work include anomaly detection, representation learning, explainable AI (XAI), and the application of these techniques to real-world problems, particularly in areas like autonomous systems and industrial data analysis. He is also dedicated to education, teaching courses in AI and machine learning, and supervising research students at various levels, contributing significantly to the academic development in computer science.
Nils Carlsson's work history includes a series of influential roles in various companies. Here is a detailed list of his professional journey:
Established a significant research profile in artificial intelligence and machine learning, with numerous publications in reputable international conferences and journals focusing on areas such as anomaly detection, representation learning, and data mining.
Serves as an Associate Professor at Linköping University, actively teaching, developing courses, and supervising PhD and Master's students, contributing to the education of future computer scientists and AI specialists.
Actively involved in significant research initiatives and collaborations, including projects within the Wallenberg AI, Autonomous Systems and Software Program (WASP), fostering advancements in Swedish AI research and innovation.
Contributed to the development and refinement of novel algorithms and methodologies within machine learning, particularly for unsupervised and semi-supervised learning tasks critical for analyzing complex datasets.
MBA Finance Heriot-Watt University - Year 2007
Styrelseakademien
Stockholm School of Economics - Year 2003
Växjö University - Year 1990
Michael Berglund Styrelseutbildning
Styrelseakademien
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BoardClic is a SaaS company offering a data-driven platform for board and management team evaluations. Their solution aims to enhance corporate governance, decision-making effectiveness, and overall performance by providing insights through digital assessments and analytics. It helps organizations benchmark their leadership against industry peers and best practices.
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