This email address is being protected from spambots. Currently, he is a principal investigator in the H2020 project "ExtremeEarth: From Copernicus Big Data to Extreme Earth Analytics" (http://earthanalytics.eu/), and one of the coordinators of the Erasmus Mundus Joint Doctorate in Distributed Computing (EMJD-DC, http://emjd-dc.eu/). His research is highly interdisciplinary, covering micro- and nano-physics, micromechatronics, microfluidics, microrobotics, micromanipulation, and intelligent control. His research interests include IoT, Robotics, Drones, Self-driving cars, Formal methods. Entry is now open at the Engineering Institute of Technology in Australia. Control The course teaches the principles of discrete-time control, including basic concept, discretization, properties of discrete time systems, controller design and performance analysis. He coordinates the Autonomous Systems at ELTE. In computer science, relevant skills include Internet of Things (IoT), machine learning, artificial intelligence and robot vision. In this challenging and exciting scenario, UNITN offers an education pathway that rests on four main pillars: mastering optimal control techniques and their applications to automotive and robot systems, applying control and measurement algorithms with a number of heterogenous source of information, developing planning and decision making mechanisms that enable the robot to optimise its operation and react to unforeseen events, develop scalable and robust software architectures that make the most of the existing communication infrastructure. One of the four focus areas is control, robotics and autonomous systems. The students will also learn the basics of modelling and control techniques of mobile robots. Upon completion, graduates receive degrees from the two universities and a certificate awarded by the European Institute of Innovation and Technology. cryptography and security), and combinatorics. The EIT aim is to provide outstanding practical engineering and technology education from diplomas through to master’s degrees. He is currently an Associate Editor for the IEEE Transactions on Instrumentation and Measurement and for the IET Science, Measurement & Technology Journal. He is the head of the Robotics and Biology Laboratory. Students learn the latest theoretical knowledge and know how to apply their skills in practical real-life problems. Applications of Autonomous Systems (TU Berlin) TU Berlin offers a specialisation in applications of autonomous systems with courses in the fundamentals and applications of multi-agent technologies, robotics and autonomous systems (RAS), machine learning, control systems, autonomous security and networks. results have been released. postgraduate courses. Artificial intelligence (or machine learning) The course teaches basic principles needed to understand and apply machine learning models and methods, including both supervised and unsupervised learning. If you wish to apply to this programme you must have a Bachelor of Science in, or be in your final year of studies of: Kindly note that relevant work experience can compensate a non-strictly matching bachelor degree. He was also the coordinator of EU FP7 project FAB2ASM, the first PPP project of the European Economic Recovery Plan. var addy26605a1602730e0b450f4cfdc0d84f02 = 'student.services' + '@'; The graduation project includes an internship at a company or a research institute and results in a Master thesis with a strong innovation and entrepreneurship dimension. Daniele Fontanelli received the M.S. The educational programme is available for international students who are going to enrol in an undergraduate degree or master’s degree at EIT. For anyone interested in a career related to self-driving cars, robotics or artificial intelligence, EIT Digital Master School offers a two-year master's programme in Autonomous Systems (AUS). László Zsolt Varga, CSc, habil., Computer Scientist, Associate Professor at the Department of Software Technology and Programming Methodology. His research interests lie mainly in intelligent robotic systems and robotic vision with a particular emphasis on developing methods and systems that cope with imperfect knowledge and uncertain senses. Please note that a good knowledge of C++ is required to take some mandatory courses. Prof Dr Klaus Obermayer is head of the Neural Information Processing Group in the School of Electrical Engineering and Computer Science at the Technische Universität Berlin in Germany. He coordinates a Master’s degree in Internet of Things. He is also an Engineering Institute of Technology (EIT) alumnus, having studied our 52726WA - Advanced Diploma of Applied Electrical Engineering and our Master of Engineering (Industrial Automation). EIT CRICOS Provider Code is 03567C. Responsible for the Faculty’s Robotics laboratory, founder and leader of the John von Neumann Computer Society Robotic section. The students will learn how to build autonomous, intelligent robots and robotic systems. EIT is authorized by the Australian Government Tertiary Education Quality and Standards Agency (TEQSA) as a Higher Education Provider. The double-degree programme is implemented jointly by leading European universities. TU Berlin offers a specialisation in Applications of Autonomous Systems with courses on the fundamentals and applications of multi-agent technologies, robotics and autonomous systems (RAS), machine learning, control systems, autonomous security and networks. The I&E minor is shared between all programmes. He is Technical Editor for IEEE Transactions on Aerospace and Electronic Systems.Sebastien Bilavarn isAssociate Professor at Polytech’ Nice Sophia, University of Nice Sophia Antipolis. This specialisation aims at describing the methods and tools to process and analyse data from sensors (big data integration, semantic interoperability, data mining and analytics) and at understanding the communication mechanisms adapted to the sensors’ constraints (low energy consumption, limited computing capacities, etc.). Adlen Ksentini is an Assistant Professor at the Communication Systems Department at EURECOM. ELTE offers a specialisation in Computer Science for Autonomous Driving. In between the first year and the second year, a summer school addresses business opportunities within a socially relevant theme. the next semester/term. Automotive manufacturing is a major industry in Europe and the university partners are well linked with these companies. He is teaching digital control, industrial control, signals and systems, system modeling, robotics, sensor fusion and fault-tolerant systems. Contact Kevin Baker at kevin.baker@eit.edu.au. Elective courses include security of autonomous systems, design and analysis of algorithms, spatial information systems, legal framework for autonomous vehicles. The "Engineering Institute of Technology" (EIT) is a private college operating globally. Daniele Bortoluzzi received the MSs in Mechanical Engineering in 1998 from the University of Padova and the PhDdegree in Mechanics of Machines in 2001 from the University of Brescia. (ISA membership number is required) Back to Top . cumulative GPA). Together, the DII and DISI employs 93 faculty members, about 90 research staff members and more than 300 PhD students. The Year 13 Degree Scholarship covers one year of full-time study and is available to Hawke’s Bay, Tairāwhiti (Gisborne) and Taupō based students … Luigi Palopoli received the PhD degree from “Scuola Superiore S. Anna, Pisa” in 2002. He develops Edge Computing to offer new solutions to increase sorting and computing capacities. Additionally, the project courses cover a diverse set of application areas, such as autonomous cars, sensor networks for digital streets (infrastructure for connected and autonomous driving), IoT in industry, autonomous smart factories and autonomous drones. His current areas of research are computational neuroscience, artificial neural networks and machine learning, and the analysis of biomedical data. His main interests are discrete mathematics, discrete and computational geometry, theory of algorithms, database systems. From 2007 to 2008, he has been an Associate Researcher with the Interdepartmental Research Center "E. Piaggio'', University of Pisa. The school provides a very broad expertise in many areas related to electrical engineering, control, software engineering, artificial intelligence, robotics and computer science. András Lőrincz, CSc, Physicist, Computer Scientist, Senior researcher at Department of Software Technology and Programming Methodology. EIT Innovation Communities develop innovative products and services, start new companies, and train a new generation of entrepreneurs. The total size of the staff is 180, including 16 tenured professors. Students can apply for multiple scholarships, but
Vladimir Vlassov is a professor in Computer Systems at KTH. Typical application areas of autonomous systems include autonomous vehicles, intelligent robots, industrial IoT and autonomous software systems. After completing the course, a student will be able to select proper modeling approaches for specific practical problems, formulate mathematical models of physical systems, construct models of systems using modeling tools such as MATLAB and Simulink, and estimate the parameters of systems from measurement data.
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