Jonas Werheid

Management and participation in industrial and publicly funded projects, acquisition activities, university teaching, and supervision of theses.

My work focus on research in sustainable data management and computer vision for manufacturing industries. My role includes management of industrial projects, research, and academic responsibilities such as thesis supervision and publishing scientific articles. I also engage in acquisition activities for research funding.

Development of software architectures for full-stack web applications and machine vision in manufacturing environments.

In this role, I worked on software solutions for cross-institute research projects. I contributed to the development of DevOps applications and implemented machine vision techniques for use in manufacturing settings, focusing on improving efficiency and automation.

Development of simulation models for advanced plastic-metal bonding techniques in automotive assembly.

I contributed to research on laser-based plastic-metal bonding techniques used in automotive manufacturing. My primary task was developing simulation models that support process optimization and enhanced material bonding quality.

Implementing computer vision solutions to improve quality control in electronics manufacturing.

During this internship, I worked on computer vision techniques for the automated inspection of printed circuit boards in the electronics assembly process. This automated the quality assurance of electronic component assembly processes through advanced image processing methods.

Assisting with experiments and software development for advanced grinding technologies.

I supported various research activities related to grinding technology. My contributions included assisting with experiments, performing laboratory measurements, and developing software solutions for data analysis and process optimization.

Supporting production processes in the iron casting of automotive engine components.

As an intern, I contributed to the iron casting production process used for automotive engines. I assisted with the coordination of production workflows and learned basic concepts in manufacturing processes.

WZL at RWTH University is one of Europe’s leading research production labs, renowned for its strong focus on applied manufacturing research through advanced technologies.

Pursuing a PhD with a focus on computer vision techniques for manufacturing processes. My research aims to develop innovative solutions for industrial challenges through the integration of advanced GenAI technologies.

A program that bridges industrial engineering with advanced operations research techniques to optimize production processes.

My Master’s studies were focused on enhancing production technologies and improving operational efficiency with mathematical optimization and machine learning algorithms.

Universidad de Navarra is an internationally recognized institution, known for its interdisciplinary approach and fostering global perspectives in economics and business.

During my exchange program at Universidad de Navarra, I studied various aspects of economics and business administration, which provided a broader understanding of management and business operations in global contexts.

RWTH Aachen is known for combining engineering expertise with management skills, creating well-rounded graduates ready to tackle modern industrial challenges.

My Bachelor’s degree focused on the intersection of mechanical engineering and management, where I developed foundational knowledge in production systems, mechanical engineering principles, and business management. This laid the groundwork for my professional endeavors.

Professional Scrum Master (PSM I) certified by Scrum.org, with proven ability to apply Scrum principles in real-world team settings, foster self-organization, and support agile delivery through servant leadership and continuous improvement.

Six Sigma Green Belt certified, skilled in applying data-driven methodologies to identify process inefficiencies, reduce variation, and drive continuous quality improvement in cross-functional projects.

This workshop emphasizes personal reflection on leadership behavior, using feedback as a key tool through real-world case studies. Participants will refine their leadership profile, make confident decisions, influence others effectively, assert themselves while maintaining relationships, and incorporate constructive feedback. The workshop also helps identify strengths and weaknesses in delegating and monitoring tasks to enhance leadership skills.

This course introduces the German higher education landscape, focusing on challenges for both international and German researchers. It covers assessing cultural factors, adapting behavior, managing academic relationships, and leveraging the benefits of diverse team backgrounds for collaboration.

1. synographs.herokuapp.com: Webpage for searching synonym chains (graph-based combinatorial optimization).
2. computational-ego.herokuapp.com: Webpage for a psychological free-field test (Deep Learning).

Both projects are implemented in Flask (backend) and Javascript (frontend), and deployed with a GitLab CI/CD Pipeline as Heroku cloud applications.