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Armin Iske is a professor in the Department of Mathematics at the University of Hamburg, focusing on Numerical Approximation. His research interests encompass kernel-based approximation methods, scattered data approximation, and their applications in image processing and machine learning. With over two decades of academic experience, he has held positions at several institutions, including the University of Leicester and the Munich University of Technology. He has also contributed to international research through multiple visiting professorships and workshops. His work has been recognized within the community, as evidenced by his involvement in editorial boards for several mathematical journals and his participation in various international conferences. His teaching often centers on innovative numerical methods and their practical applications, fostering a deep understanding among students.
University of Hamburg • Hamburg, Germany
Leading research and teaching in Numerical Approximation.
University of Hamburg • Hamburg, Germany
Research and lectures in numerical methods.
Australian National University • Canberra, Australia
Engaged in research collaboration and lecturing.
University of Leicester • Leicester, UK
Conducting courses in Applied Mathematics.
Munich University of Technology • Munich, Germany
Developing courses and computer science applications.
Hewlett-Packard • Böblingen, Germany
Worked on numerical issues in mechanical design.
University of Oslo • Oslo, Norway
Research focused on applied mathematics.
Institute Numerical Applied Mathematics, University Göttingen • Göttingen, Germany
Engaged in various research projects related to numerical mathematics.
Includes tracks like Intelligent Adaptive Systems (IAS).