Fly-high fika seminars on Tuesdays 3pm
— High-level seminars introducing ambitions of digitalization technology research for future society; delivered by passionate researchers from academia and industry; targeted for the whole digitalization research community.
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Henny Admoni is an Assistant Professor in the Robotics Institute at Carnegie Mellon University, where she leads the Human And Robot Partners (HARP) Lab. Dr. Admoni studies how to develop intelligent robots that can assist and collaborate with humans on complex tasks like preparing a meal.
Martin Nilsson, is a Mathematical physicist. Associate Professor (Sw. “Docent”) at RISE. His research focuses on machine learning and AI, but he has worked multidisciplinary in, e.g., signal processing, mechatronics, robotics, computer science, and biophysics. He is especially interested in neurobiophysics and the brain’s tipping us off how knowledge can be efficiently represented and processed in computers.
Johan Jansson is an Associate Professor at Numerical Methods/Computational Science and Technology Numerical Methods/Computational Science and Technology at KTH, and leading the CFD Computational Technology research line at the Basque Center for Applied Mathematics (BCAM).
Ram Vasudevan is an assistant professor in Mechanical Engineering and the Robotics Institute at the University of Michigan. He received a BS in Electrical Engineering and Computer Sciences, an MS degree in Electrical Engineering, and a PhD in Electrical Engineering all from the University of California, Berkeley.
Pawel Herman is Associate Professor of Computational Neuroscience and Neuroinformatics in the Division of Computational Science and Technology at the KTH Royal Institute of Technology. His research fascinations lie at multiple crossroads between broad areas of brain science/neuroscience and computer science.
In this talk, Danupon Na Nongkai will discuss some recent progress towards nearly-linear time algorithms and efficient algorithms across many computational models such as dynamic graphs, distributed networks, and streaming algorithms.
DF seminar: The New Urban Science – Digitalising Cities through Interdisciplinary and Transdisciplinary Collaboration
Andrew Karvonen reflects on the historical development of cities as sites of scientific study and technological innovation, and then examine the potential for the New Urban Science to adopt interdisciplinary and transdisciplinary approaches that involve collective approaches to knowledge production and application.
DF seminar: Adaptive Model Predictive Control: Robustness, Performance Enhancement and Parameter Estimation
Mark Cannon will discuss recent work on computationally tractable robust adaptive MPC formulations for systems with uncertain models, additive disturbances, and state and control constraints.