Prof. Dr. Armin Iske

Professor of Numerical Approximation      University of Hamburg    Department of Mathematics    Bundesstrasse 55    D-20146 Hamburg, GERMANY      Office: Geom 136    Tel:  +49(0)40 42838 5264    Fax: +49(0)40 42838 5117    Email: armin.iske @ uni-hamburg.de

Next Office Hour

• By video conference. If you wish to meet me, please get in touch by email.

Next Event

• Wissen vom Fass 2020. Öffentlicher Vortrag über das Thema Wie werden Maschinen intelligent?
  Hamburg, Donnerstag, 5. November 2020. (Ort und Zeit werden später bekannt gemacht).

Current Projects

• Research Training Group DFG-GRK2583. Funded by DFG (April 2020 - September 2024). Spokesperson.
• Lernbasierte Datenanalyse - Stochastik, Optimierung, Dynamik und Approximation (LD-SODA).
  Funded by Landesforschungsförderung (LFF) Hamburg (2020-2023). Principal Investigator.
• Data Science in Hamburg Helmholtz Graduate School for the Structure of Matter (DASHH). Principal Investigator.
• Artificial Intelligence - Innovation for Earth System Analytics and Modelling.
  Funded as Helmholtz Artificial Intelligence Cooperation Unit (HAICU). Spokesperson at UHH.
• DFG-TRR 181 "Energy Transfers in Atmosphere and Ocean". Funded by DFG (2016-2020). Principal Investigator.

Previous Events and News

• Wie weit steuern Algorithmen unser Leben?
  Interview zum Thema Die großen Fragen des Lebens, Hamburger Abendblatt, 18. Januar 2020.
• Wir wollen's wissen! Forschung in der Schule.
  Vorträge über das Thema Big Data: Fluch und Segen zugleich! in Hamburger Schulen, 20.-24. Januar 2020.
  Artikel zum Vortrag am 20. Januar 2020, Sophie-Barat-Schule Hamburg.
  Interview zum Thema Algorithmen, Apps und Co. - ein Gespräch über die Gefahren des Internets. Gymnasium Glinde, April 2020.
• Mit Mathematik das Klima besser verstehen.
  Frankfurter Buchmesse, 19. Oktober 2019, ab 14:00 Uhr, Academic & Business Information Stage (Halle 4.2 N101).

Editorial Boards

• Sampling Theory, Signal Processing, and Data Analysis, Springer. Editorial Board Member.
• Mathematical Foundations of Computing (MFC). American Institute of Mathematical Sciences (AIMS). Associate Editor.
• Computational and Applied Mathematics (COAM), Springer. Associate Editor.
• International Journal on Wavelets, Multiresolution and Information Processing (IJWMIP), World Scientific. Associate Editor.
• Journal of Mathematics in Industry, Springer. Editorial Board Member.
• Springer Undergraduate Texts in Mathematics and Technology (SUMAT), Book Series Editorial Board Member.
• Dolomites Research Notes on Approximation (DRNA), Editorial Board Member.

Current Teaching (Summer 2020)

• Machine Learning
• Complex Functions for Engineers (TUHH)
• Differential Equations II for Engineers (TUHH)
• Research Seminar on Mathematical Data Analysis