Michael Schelling, M. Sc.

Michael Schelling completed his masters degree in mathematics in 2015. Following this, he worked at the institute of communications engineering before joining the research group Visual Computing in November 2018.

Research interests

Machine Learning

Lectures

Lectures, Projects and Seminars (past semesters)
Past semester as scientific assistant:
- Deep Learning for Graphics and Visualization (WS 19/20)
- Seminar: Research Trends in Visual Computing (WS 19/20)
- Workshop: Deep Learning for Graphics and Visualization (SS19)
- Channel Coding (WS 17/18)
- Communications Engineering Seminar: Wireless Communications (WS 17/18)
- Applied Information Theory (SS 17)
- Communications Engineering Seminar: Cryptography: Algorithms, Applications and Standards (SS 17)
- Introduction to Communications Engineering (WS 16/17()
- Theory of Digital Networks (SS16)
Past semesters as student assistant:
- Functional Analysis (WS 14/15)
- Elements of Differential Equations (SS14, SS13)
- Ulm University Trainingscamp (SS 14, SS 13)
- Analysis 3 (WS 13/14
- Elements of Complex Analysis (SS 13)
- Analysis 2 for Computer Scientists and Engineers (WS12/13)
- Analysis 1 for Computer Scientists and Engineers (SS 12)
- Linear Algebra for Computer Scientists and Engineers (WS 11/12)
Open Theses

I am happy to supervise theses in the field of neural networks, feel free to drop by at my office.

Publications

2017

M. Schelling and M. Bossert, "Code Constructions based on Reed-Solomon Codes" in Eighth International Workshop on Optimal Codes and Related Topics, 2017.

File:

https://arxiv.org/abs/1706.05830

2015

A. Dall'Acqua, D. Mugnolo and M. Schelling, "A new Gershgorin-type result for the localisation of the spectrum of matrices" , Mathematische Nachrichten, vol. 288, no. 17-18, pp. 1981--1994, 2015. Wiley Online Library.