Robin M. Schmidt

Computer Science Graduate Student

Eberhard-Karls-University Tübingen


I am a graduate student in computer science at Eberhard-Karls-University in Tübingen focusing on Artificial Intelligence. Before that, I studied computer science in a dual setup at the University of Applied Sciences in Stuttgart which involved frequent and extended industry research and development projects on topics regarding Manufacturing Execution Systems. The particular topics included work on Single Product Tracking, Improvement on Data Analysis as well as Key Performance Indicators. During that time I’ve also done research with Olaf Herden on NewSQL databases for modern Application Scenarios.

During my masters degree I attended internships such as the Extreme Blue internship at IBM, where I’ve researched the Connection between Internet of Things and Master Data Management. Also, I presented the obtained results at a conference in Cluj-Napoca, Romania. Currently I’m doing research on Deep Learning Optimizers with Philipp Hennig and Frank Schneider.


  • Artificial Intelligence
  • Deep Learning
  • Reinforcement Learning
  • Optimization


  • M.Sc. in Computer Science, 2020

    Eberhard-Karls-University Tübingen

  • B.Sc. in Computer Science, 2018

    DHBW Stuttgart Campus Horb

Recent Posts

Distributed Second-Order Optimization Using Kronecker-Factored Approximate Curvature

A recent publication tried to parallelize K-FAC for multiple processes to speed up convergence. In this blog post I want to summarize the main contribution and give a little more insights.

Research & Work Experience


Research on Benchmarking Deep Learning Optimizers

Prof. Dr. Philipp Hennig

Oct 2019 – Feb 2020 Tübingen
Here, I’ve researched efficient state of the art Deep Learning Optimizers such as RAdam, AdamW or AMSGrad and benchmarked them on different problem sets. The purpose of this research was to get a better performance understanding of different optimization algorithms on various problem sets and to provide a ranking based on the problem type.

Extreme Blue Internship


Aug 2019 – Oct 2019 Böblingen
Here, I’ve researched the connection between Internet of Things and Master Data Management with great success. This included use case research as well as looking into the current data model and proposing changes, which needed to be made to support the upcoming use cases. To validate these modifications, I’ve developed a proof of concept application for one of these use cases which was in the healthcare sector. Also, I presented the obtained results at a conference in Cluj-Napoca, Romania.

Bachelor thesis

ENisco GmbH & Co. KG

Jun 2018 – Sep 2018 Böblingen
I did my bachelor thesis in subsidiary of Eisenmann SE on the topic “Conception and implementation of a single product tracking in a press-hardening production line”. My supervisor was Prof. Dr. phil. Antonius J.M. van Hoof

Research on New SQL Databases

Prof. Dr.-Ing. Olaf Herden

Oct 2017 – Jun 2018 Horb
With Prof. Dr.-Ing. Olaf Herden, I did research on the topic of New SQL databases and evaluated different Open Source New SQL databases in terms of modern application scenarios. For that, I’ve used a model for evaluating Open Source software called the Business Readiness Rating which favored VoltDB

Cooperative Studies in a dual setup

Eisenmann SE

Oct 2015 – Oct 2018 Böblingen

Frequent and extended industry research & development projects during term breaks. This is approximately equivalent to 5 internships each with a duration of 3-4 months.

Some of them yielded whitepapers with the topics:

  • Key Performance Indicators inside Manufacturing Execution Systems
  • Improvement of the data analysis inside Manufacturing Execution Systems