Vincent.
My Passion: Neural Networks. Robotics. Automation.
A passionate mechatronics engineer. I enjoy combining software and hardware to solve cross-platform problems
A passionate mechatronics engineer. I enjoy combining software and hardware to solve cross-platform problems
I am a mechatronics and information technology student (M.Sc.) at KIT Karlsuhe with a passion for solving problems. In my bachelor’s degree, I have acquired a range of knowledge in the field of automation technology and robotics and worked intensively in interdisciplinary teams (see MSuP workshop below). In my bachelor’s thesis, I had my first encounter with neural networks, which also sparked my interest. During my internship at Heidelberger Druckmaschinen AG, I also had my first experience in the simulation of automation systems and I could further develop my skills in programming neural networks. Improving my knowledge in neural networks led me to a StartUp idea that I am currently working on with GROW - “Germany’s Largest Student Founding Contest”. Within 11 weeks, I am able to advance my idea in a team, learn a lot about problem solving and network with other founders.
What former supervisors told me… I am quick to learn new programming languages and technologies. I am naturally able to adapt to new environments and challenges and my ability to think logically and my structured approach to work make it easier for me to perform complex tasks.
Here are a few technologies I'm working with recently:Working as an intern, I was able to gain practical experience in the field of automation technology and AI. I learned how to combine Supervisory, Control and Field Level Programming with an OPC UA server. My main tasks included
Working as a student assistant, I had two tasks
Working as a research assistant, I was able to gain my first working experience in school vacations. Things that I did included
During my bachelor’s degree, I gained knowledge in C++ workshops including microcontroller programming. I also participated in interdisciplinary team projects, such as the MSuP workshop, where the task was to design and build two robots that collect, sort and stack colored dice. My task included programming the waypoints using Matlab Simulink and Stateflow.
My bachelor thesis was about spiking neural networks (SNNs) and the “Evaluation of Embedded Spike Encoding Algorithms”. SNNs are special kinds of artificial neural networks (ANNs) that are more inspired by biological neural networks in contrast to traditional ANNs. Instead of normal signals they use so-called “spikes”, but these spikes first need to be transformed from continuous signals. This process is called spike encoding. In addition to my thesis, we published a paper in the ICONS 2025 conference, where we gained the best paper award. My main contribution to this paper included the evaluation of the energy efficiency of different spike encoding methods on an embedded system. Here are some links:
I completed my studies with an internship at Heidelberger Druckmaschinen AG which I described above.