JAN SCHEERER

Résumé

Experience

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation | May 2024 - Feb. 2025

Completed master’s thesis in collaboration with Fraunhofer IOSB.
Worked on semantic segmentation, anomaly detection, and foreign object detection for bulk-material sorting processes.

FZI Research Center for Information Technology | Oct. 2020 – Apr. 2023

Co-authored research publication in IEEE MEMEA: Effects of Medical Clothing on Person Re-Identification Algorithms
Completed bachelor's thesis in collaboration with FZI.
Conducted research on Person Re-Identification, Surgery Phase Detection, Pose Estimation, and Pose Tracking.

Education

KIT Karlsruhe Institute of Technology | Oct. 2017 – Apr. 2025

Master of Science in Electrical Engineering and Information Technology
- Master's Thesis: “One-Class Segmentation in the Field of Sensor-Based Sorting", Investigated the use of One-Class Learning techniques in bulk-material sorting, which is commonly applied in industries such as agriculture, recycling, and mining.

Bachelor of Science in Electrical Engineering and Information Technology
- Bachelor's Thesis: “Effects of Medical Clothing on Person Re-Identification Algorithms”, Analyzed the impact of medical clothing on person re-identification algorithms, with the objective of improving documentation efficiency in healthcare settings.

Skills & Technologies

Proficient in Linux operating systems.
Skilled in Python programming with basic knowledge of C/C++.
Experienced with PyTorch, Torchvision, OpenCV, Kornia, NumPy, and Matplotlib.
Other: Docker, Git, Jira, ...
Fluent in German and English.

Projects

Here, you can explore my current and previous software projects that I have worked on.

New Project

More intriguing projects are currently in progress and will be published soon as well.

Do not click!

Quantitative Analysis

Investigating anomaly detection methods for quantitative analysis of financial data.

Coming soon!

Visual Engagement Analysis (2024)

The Visual Engagement Analysis (VEA) project aims to predict user engagement with YouTube videos by analyzing the correlation between video thumbnails and engagement metrics.

View on GitHub!

VinePilot (2024)

Vinepilot is all about bringing innovation to vineyards! It focuses on data collection and model development for vision-based driving systems in viticulture, making agriculture smarter and more efficient.