Matthias Hertel

Matthias Hertel is a Researcher at the University of Freiburg's Algorithms and Data Structures department since 2020. He holds a Bachelor's and Master's degree in Computer Science from the same institution. His research focuses on Deep Learning, Natural Language Processing, and Energy Informatics with sustainability applications. He has contributed to projects like tokenization repair in digitized documents and public transit route planning.

• Educations: B.Sc. & M.Sc. in Computer Science (University of Freiburg)

Research interests include developing efficient algorithms for NLP tasks, whitespace error correction in digitized texts, and applying machine learning to energy grid optimization. His work integrates neural networks and transformer models for tasks like spelling correction and sentence segmentation. Recent projects address challenges in low-voltage grid expansion using ant colony optimization techniques.

Past teaching roles include tutoring Algorithms and Data Structures (2021) and Information Retrieval (2021/22), alongside seminars on Deep Natural Language Processing (2020/21). He supervises student projects in NLP, sustainable energy systems, and route planning algorithms. Notable collaborations include work with Fraunhofer ISE on grid optimization.