Search database
Use the search function and available filters to browse HU projects, researchers, and cooperation partners.
PD Dr. phil Evangelia Kordoni
- Department of English and American Studies
- English Language
Towards optimal nonlinear fluctuation-response tests of Markovianity
Principal investigator(s): Prof. Dr. Benjamin Lindner
Al-enhanced statistical tools for precise estimation of socioeconomic indicators
Principal investigator(s): Prof. Katarzyna Reluga, Ph.D.
Technische Universität Ilmenau
HMU Research, Development und Innovation Erfurt gGmbH
Federal Statistical Office of Germany
Max Planck Institute for Mathematics in the Sciences
University Hospital and Faculty of Medicine Tübingen
University of Konstanz
Free University of Berlin
Ludwig Maximilian University of Munich
University of Hamburg
Towards optimal nonlinear fluctuation-response tests of Markovianity
Principal investigator(s): Prof. Dr. Benjamin Lindner
Al-enhanced statistical tools for precise estimation of socioeconomic indicators
Principal investigator(s): Prof. Katarzyna Reluga, Ph.D.
RG 5381/2: Optimal actions and stopping in sequential learning (SP 02)
Principal investigator(s): Prof. Dr. Markus Reiß
Digging Deep into the Sequence Space of Electrochemical Debonding of Peptides to Impact Next Generation Polymer Adhesives (IDefix)
Principal investigator(s): Prof. Dr. Hans Börner
Data Discovery in the Presence of Temporal Drifts
Principal investigator(s): Prof. Dr. Jan Mendling
CRC 1294/3: Statistics of stochastic partial differential equations (SPDEs) (SP A01)
Principal investigator(s): Prof. Dr. Markus Reiß
CRC 1294/3: Nonlinear statistical inverse problems with random observations (SP A04)
Principal investigator(s): Prof. Dr. Markus Reiß, Prof. Dr. Melina Freitag
CRC 1294/3: Data Assimilation – The Seamless Integration of Data and Models
Principal investigator(s): Prof. Dr. Melina Freitag
CRC/TRR 190/3: Rationality and Competition: The Economic Performance of Individuals and Firms
Principal investigator(s): Prof. Dr. Klaus Schmidt
Deutsch-französisches Graduiertenkolleg: Statistisches Lernen für komplexe stochastische Prozesse/ Apprentissage statistique pour des processus stochastiques complexes
Principal investigator(s): Prof. Dr. Maite Wilke Berenguer
CRC/TRR 388/1: Statistical learning from path observations (B01)
Principal investigator(s): Prof. Dr. Markus Reiß, Dr. Christian Bayer
CRC/TRR 388/1: Rough analysis in stochastic control (SP B05)
Principal investigator(s): Prof. Dr. Ulrich Horst, Prof. Dr. Peter Bank
Prof. Dr. Anke Lüdeling
- Department of German Studies and Linguistics
- German Linguistics
Prof. Dr. Ulrike Lüken
- Department of Psychology
- Psychotherapy
Prof. Dr. Gudrun Wansing
- Department of Rehabilitation Sciences
- Sociology of Rehabilitation and Professional Rehabilitation
Prof. Dr. Hans Börner
- Department of Chemistry
- Organic Synthesis of Functional Systems
Dr. Sigbert Klinke
- Statistics
Prof. Dr. Richard Waltereit
- Department of Romance Literatures and Linguistics
- Romance Languages (French)
Prof. Dr. Mingya Liu
- Department of English and American Studies
- Empiricism of the English Language
Prof. Dr. Lars Grunske
- Department of Computer Science
- Software Engineering
Prof. Dr. Ulrich Horst
- Department of Mathematics
- Applied Mathematical Finance
Prof. Dr. rer. nat. Dr. rer. agr. Christian Ulrichs
- Albrecht Daniel Thaer-Institute of Agricultural and Horticultural Sciences
- Urban Plant Ecophysiology
Prof. Dr. Sonja Greven
- Statistics
Prof. Dr. Markus Egg
- Department of English and American Studies
- English Language
Technische Universität Ilmenau
HMU Research, Development und Innovation Erfurt gGmbH
Federal Statistical Office of Germany
Max Planck Institute for Mathematics in the Sciences
University Hospital and Faculty of Medicine Tübingen
University of Konstanz
Free University of Berlin
Ludwig Maximilian University of Munich
University of Hamburg
University of Potsdam
Charité – Universitätsmedizin Berlin
Johannes Gutenberg University Mainz
Publish research project
Would you like to make information about your research project publicly accessible in the research information system or revise your existing project data? Find out more on the intranet.
Direct access to HU-FIS
It is possible to log in to the research information system within the HU network or via a VPN connection.
Reports and third-party funding statistics
Visit our website "Reports and third-party funding statistics", where the Humboldt-Universität zu Berlin's research reports are also available.
Support for the HU-FIS research information system
If you have any further questions or problems, please contact HU-FIS support by e-mail.