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Informatik 6 -Lehrstuhl für Robotik, Künstliche Intelligenz und Echtzeitsysteme: Prof. Dr.-Ing. habil. Alois Knoll
He served on the faculty of the Computer Science department of TU Berlin until 1993, when he qualified for teaching computer science at a university (habilitation).
His research interests include cognitive, medical and sensor-based robotics, multi-agent systems, data fusion, adaptive systems, multimedia information retrieval, model-driven development of embedded systems with applications to automotive software and electric transportation, as well as simulation systems for robotics and traffic.
He initiated and was the program chairman of the First IEEE/RAS Conference on Humanoid Robots (IEEE-RAS/RSJ Humanoids2000), he was general chair of IEEE Humanoids2003, general chair of Robotik in 2004 and in 2008, the largest German conference on robotics, Program Chair of IEEE-IROS 2015, and he served on numerous other organising committees as well as editorial boards of international journals.
Currently, he is Editor-in-Chief of the neurorobotics journal of frontiers, a recently founded open access publication for in-depth robotics articles.
This research institute organizes joint research and bi-directional knowledge transfer between TUM’s Informatics department and the local as well as national industry.
Most notably, with the support of German industry, he started TUM’s Graduate School of Information Science in Health (GSISH), which brings together students of medicine and informatics in research-oriented projects, and which has already hosted more than 40 PhD students.
At present, among other projects, he is the coordinator of the EU-Project ECHORD++, a large initiative for bringing together robotics industry, research institutes and universities with the aim of advancing new robot technologies to market-readiness.
Holiday Inn Munich City Center6-7 MAY, 2019
Lawrence has spent the last decade building Cicero's analytics practice where he has experience helping Fortune 1000 firms solve real business challenges with data, including attrition, segmentation, sales prioritization, pricing, and customer satisfaction.
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- On Tuesday, November 19, 2019
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