Science of Signatures Advanced Studies Scholars Program 2014

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Science of Signatures Advanced Studies Scholars Program 2014 Speaker: Magnus Egerstedt, Schlumberger Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology Title: The Mechanics of an Engineering MOOC: The Good, the Bad, the Ugly Abstract: Bridging the theory-practice gap in engineering education is a well-known hard nut to crack. In this talk, I will discuss how this can be approached both in a MOOC (Massive Open Online Course) setting and in a flipped classroom. Based on my recent MOOC, Control of Mobile Robots, I have flipped the classroom in a senior robotics and controls class at the Georgia Institute of Technology. The students take the MOOC and come to class prepared to program robots. I will discuss why engineering classes make ideal flipped classes yet present real challenges for meaningful online learning. Bio: Magnus Egerstedt is the Schlumberger Professor in the School of Electrical and Computer Engineering at the Georgia Institute of Technology, where he serves as Associate Chair for Research. He received the M.S. degree in Engineering Physics and the Ph.D. degree in Applied Mathematics from the Royal Institute of Technology, Stockholm, Sweden, the B.A. degree in Philosophy from Stockholm University, and was a Postdoctoral Scholar at Harvard University. Dr. Egerstedt conducts research in the areas of control theory and robotics, with particular focus on control and coordination of complex networks, such as multi-robot systems, mobile sensor networks, and cyber-physical systems. Magnus Egerstedt is the Deputy Editor-in-Chief for the IEEE Transactions on Network Control Systems, the director of the Georgia Robotics and Intelligent Systems Laboratory (GRITS Lab), a Fellow of the IEEE, and a recipient of the ECE/GT Outstanding Junior Faculty Member Award, the HKN Outstanding Teacher Award, the Alum of the Year Award from the Royal Institute of Technology, and the U.S. National Science Foundation CAREER Award. .

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Angela Schoellig page 1/59 University of Toronto Institute for Aerospace Studies email: [email protected] 4925 Dufferin Street phone: (+1) 416-667-7518 Toronto, Ontario M3H 5T6, Canada web: www.schoellig.name (Last updated: June 8, 2021.) Research Interests Machine Learning for Robotics and Control. Combining models and data in a closed-loop system architecture to improve the safety, performance and reliability of robotic systems. Algorithms that enable robots to safely and effectively operate in increasingly unstructured, uncertain and changing environments, alongside humans, and over long periods of time. Algorithms that enable a seamless interaction between technical systems and the physical world. Academic Appointments Associate Professor (With Tenure), University of Toronto, Canada. since 07/2020 Institute for Aerospace Studies, Faculty of Applied Science and Engineering. Assistant Professor (Tenure Track), University of Toronto, Canada. 2013–2020 Institute for Aerospace Studies, Faculty of Applied Science and Engineering. Postdoctoral Researcher and Lecturer, ETH Zurich, Switzerland. 2012 Institute for Dynamic Systems and Control, with Prof. Raffaello D’Andrea. Five-month appointment. Research Assistant, ETH Zurich, Switzerland. 2008–2012 Institute for Dynamic Systems and Control, with Prof. Raffaello D’Andrea. Education Dr. sc. (Ph.D.), Robotics and Control, ETH Zurich, Switzerland. 2013 Institute for Dynamic Systems and Control, Dept. of Mechanical and Process Engineering. Advisor: Prof. Raffaello D’Andrea. Referee: Prof. Andrew Alleyne. Thesis title: “Improving tracking performance by learning from past data.” Awards: ETH Medal, Dimitris N. Chorafas Foundation Prize. Dipl.-Ing. (M.Sc.), Engineering Cybernetics, University of Stuttgart, Germany. 2008 Advisor: Prof. Frank Allg¨ower. With highest honors, GPA1: 1.0.
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