2021

Human Action Recognition as part of a Natural Machine Operation Framework

S. Bexten, J. Schmidt, C. Walter, and N. Elkmann

IEEE International Conference on Emerging Technologies and Factory Automation (ETFA)

2021

NeuroEvolution of augmenting topologies for solving a two-stage hybrid flow shop

S. Lang, T. Reggelin, J. Schmidt, M. Müller, and A. Nahhas

Expert Systems with Applications

2021

Approaching Scheduling Problems via a Deep Hybrid Greedy Model and Supervised Learning

J. Schmidt and S. Stober

IFAC Symposium on Information Control Problems in Manufacturing

2023

Learning Continuous Rotation Canonicalization with Radial Beam Sampling

J. Schmidt and S. Stober

ArXiv

2024

Reviving Simulated Annealing: Lifting its Degeneracies for Real-Time Job Scheduling

J. Schmidt, B. Köhler, H. Borstell

The Hawaii International Conference on System Sciences (HICSS)

2024

Pursuing the Perfect Projection: A Projection Pursuit Framework for Deep Learning

J. Perschewski, J. Schmidt, S. Stober

International Workshop on Self-Organizing Maps and Learning Vector Quantization, Clustering and Data Visualization (WSOM+)

2024

Tilt your Head: Activating the Hidden Spatial-Invariance of Classifiers

J. Schmidt and S. Stober

International Conference on Machine Learning (ICML)

2024

Image Canonicalisation in Log-Polar Space

J. Schmidt, S. Stober and others

Draft Phase

since 2020

Prototyping with Python

During my Master's program, I was introduced to Python, which quickly became an invaluable tool in my programming arsenal. Its intuitive syntax and extensive libraries allow me to quickly implement and test concepts, making it an ideal language for experimental work. I primarily leverage Python for rapid prototyping, especially when working on publications or exploring new ideas. While I have utilized Python's just-in-time (JIT) compilation to enhance performance in certain scenarios, I would still prefer to turn to low-level languages like C or C++ when speed is a critical factor.

2014-2018

Efficiency with C/C++ and Assembler

I self-taught C programming from Dirk Louis's book, meticulously coding every example to build a solid foundation from the ground up. During my Bachelor's, I solidified my knowledge by taking courses in Assembler, C, C++, and Software Engineering. This academic pursuit culminated in a project where I programmed a Rubik's Cube solver in C++, showcasing my ability to apply complex algorithms and problem-solving skills in a practical context.

2014-2021

App and Game Dev with C# and Java

Similar to C/C++ I self-taught Java from a book by Hans-Peter Habelitz. My primary motivation was to develop Android applications, leveraging Java's widespread use in mobile development. My exploration extended to mobile game development, where I challenged myself to create an Android game using C# and Unity (apps can be found on GitHub). While I found the experience engaging and instructive, I ultimately decided to refocus my efforts on areas more aligned with my long-term career goals.

since 2018

Web Dev with HTML, JS and many more

I possess fundamental skills in HTML and CSS, and have published several small games using JavaScript. My experience extends to working with Jekyll, Hexo, NodeJS, and Flask. Additionally, I supervised a web development project utilizing NextJS with a MySQL backend, Tailwind CSS, and Shibboleth SAML SSO, demonstrating my ability to manage complex, full-stack web applications.

since 2016

Unix-based Shells and Linux

I have been working with Unix-based systems since my Bachelor's degree, developing a solid foundation in shell interactions and command-line operations. My experience includes working with various Linux distributions, which has broadened my understanding of different environments. I've applied these skills in practical scenarios, such as running experiments on GPU clusters through remote connections, demonstrating my ability to utilize computing resources for research purposes.