Hanno Gottschalk

Technische Universität Berlin

Names

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Hanno Gottschalk (Preferred)

Emails

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****@uni-wuppertal.de
,
****@math.tu-berlin.de

Education & Career History

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Full Professor
Technische Universität Berlin (tu-berlin.de)
2023Present
 
Associate Professor
Wuppertal University (uni-wuppertal.de)
20112023
 
Core Competency Owner for Probabilistic Design
Siemens Corporate Research (siemens.com)
20072011
 
Assistant Professor
University of Bonn (uni-bonn.de)
20052007
 

Advisors, Relations & Conflicts

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Coauthor
Marius Schubert
****@math.uni-wuppertal.de
2021Present
 
Coworker
Tobias Riedlinger
****@uni-wuppertal.de
2020Present
 
Coworker
Claudia Drygala
****@uni-wuppertal.de
2020Present
 
Coauthor
Kathrin Klamroth
****@math.uni-wuppertal.de
2020Present
 
Coauthor
Annika Mütze
****@uni-wuppertal.de
2020Present
 
Coauthor
Onur Tanil Doganay
****@math.uni-wuppertal.de
2020Present
 
Coworker
Pascal Colling
****@aptiv.com
2019Present
 
Coworker
Kira Maag
****@math.uni-wuppertal.de
2019Present
 
Coworker
Robin Chan
****@uni-wuppertal.de
2019Present
 
Coworker
Julian Burghoff
****@uni-wuppertal.de
2019Present
 
Coworker
Hayk Asatryan
****@uni-wuppertal.de
2019Present
 
Coworker
Katharina Gladbach
****@uni-wuppertal.de
2019Present
 
Coworker
Matthias Rottmann
****@math.uni-wuppertal.de
2017Present
 
Coauthor
Nicole Rummel
****@rub.de
20222022
 
Coauthor
Radin Dardashti
****@uni-wuppertal.de
20212022
 
Coworker
Daniel Siemssen
****@math.uni-wuppertal.de
20172019
 
PhD Advisor
Sergio Albeverio
****@iam.uni-wuppertal.de
19962000
 

Expertise

For each line, enter comma-separated keyphrases representing an intersection of your interests. Think of each line as a query for papers in which you would have expertise and interest. For example: deep learning, RNNs, dependency parsing

Mathematical Physics
Present
 
Errors and Reliability in Deep Learning
2017Present
 
Probabilistic Materials Science
1995Present
 
Shape Optimization
1995Present