Innovation Strategist & Business Development Coach
Donnie has been working with entrepreneurship and innovation for over 25 years. For the past eleven years he has helped shape and build KTH Innovation, the innovation support office at KTH. He is an appreciated speaker on innovation and creativity, having spoken at 5 TEDx events. In 2015, he spent a year in Silicon Valley as a part of a Vinnova/Wallenberg Fellowship program, during which he worked at the Nordic Innovation House in Palo Alto.
Professor in the Division of Robotics, Perception and Learning at KTH
Hedvig is a Professor at KTH, a Lead AI Scientist at Silo AI and an affiliated researcher in the Perceiving Systems Department, Max Planck Institute for Intelligent Systems in Tübingen, Germany. She does research in Computer Vision and Machine Learning, and the general theme of her research is methods for enabling artificial agents to interpret the behavior of humans and other animals, and also to behave in ways interpretable to humans.
I do research in Computer Vision and Machine Learning. The general theme of my research is methods for enabling artificial agents to interpret the behavior of humans and other animals, and also to behave in ways interpretable to humans. As outlined in the Portfolio pages, these ideas are applied in Performing Arts, Healthcare, Veterinary Science, and Smart Society.
I teach in the Bachelor program Engineering Mathematics and in the Master programs Machine Learning, Computer Science and Systems, Control and Robotics at KTH
Education team at the KTH AI Society
Kiran is a Ph.D. student at KTH EECS in Machine Learning methods for motion synthesis. He has a master’s degree in Computational Mechanics from RWTH Aachen University, Germany. He has previously worked on Robotics and Machine Learning with Berkeley Lab USA, IBM Research Germany, APS GmbH (McKinsey & Co.) Germany, and Dassault Systemes (Germany and India).
Head of Education at the KTH AI Society
Nathan Bosch is the Head of Education at the KTH AI Society and is currently pursuing a Master’s degree in Machine Learning at KTH. He has more than three years’ experience in AI and ML, holding a Bachelor’s degree in Artificial Intelligence from the University of Groningen, and has close to two years of work experience in applying Machine Learning for log analysis at Ericsson.