Thursday March 13th, 2017 17:30-21:00
Associate Professor of Economics, and received his Ph.D in 1997 in social sciences from Caltech. Joined George Mason's economics faculty in 1999 after completing a two year post-doc at U.C Berkely. His major fields of interest include health policy, regulation, and formal political theory. Recent book: The Age of Em: Work, Love and Life When Robots Rule The Earth. Oxford University Press, 2016.
Cecilia Åsberg: What was the Culture-Nature Divide?
Professor of Gender, Nature, Culture at Tema Genus, Linköping univ., heading the Posthumanities Hub; The Seed Box - An Environmental Humanities Collaboratory and co-directing GEXcel International Collegium. Tema Genus, the interdisciplinary unit for Gender Studies at the TEMA Institute, constitutes a nexus of a range of feminist, international and interdisciplinary scholarly research collaborations, projects, platforms, strands, research schools, post-grad and under-grad gender studies education.
Fredrik Gustafsson: Future Positioning Systems - from Phone to Drone.
Professor in Sensor Informatics, Deptartment of Electrical Engineering, Linköping Universit. He received the M.Sc. degree in electrical engineering 1988 and the PhD in Automatic Control, 1992, both from Linköping Univ. His research interests are in stochastic signal processing, adaptive filtering and change detection, with applications to communication, vehicular, airborne, audio and wildlife applications.
Fredrik Heintz: Learning and Computational Thinking.
Docent at Deptartment of Computer and Information Science, Linköping Univ. Main research interest: Stream-based reasoning grounded through sensing in cognitive robotics. Leading the Cognitive Robotics Group and am involved in several projects as: Stream-based reasoning, Model-based diagnosis and Execution monitoring.
Martin Hedlund, Armando Vieira: Medical Diagnostics and Prognostics Revolutionized.
Martin Hedlund: One of the founders of ContextVision. Finished his M.Sc. degree of Technology followed by further studies and research in image processing and GOP® theory at Linköping University. He was R&D and Local Manager in Linköping until 1999. Since then he has served as CTO, focusing on strategic product and business development, and he has been a member of the Board since the company went public in 1997.
Armando Vieira: Entrepreneur, scientist and machine learning enthusiast. Recently engaged in applying deep learning networks for hard problems on classification and regression. Writing a book "Business Applications of Deep Learning" to be released early 2017. More info on my website: armando.lidinwise.com. Author of more than 70 publications on international journals like "Expert Systems with Applications", "Journal Applied Physics", "Neurocomputing" and "Physical Review E". Co-creator of a new algorithm to classify high-dimensional data (HLVQ)/b>
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