Marius Geitle

Marius Geitle is an Assistant Professor at the Department of Computer Science and Communication, Østfold University College, Halden. His academic interests include Machine Learning, Evolutionary Optimization, and Automatic Programming.

His research focuses on advancing machine learning techniques, particularly in dimensionality reduction, hyperparameter optimization, and node evaluation models for IoT-Mist networks. He utilizes methods like deep ensemble transformers, XGBoost, and evolutionary algorithms to address challenges in computational efficiency and data-driven learning.

Recent publications highlight trends in automated programming and fog computing, with keywords spanning Machine Learning, Internet of Things, and Big Data. He coordinates the course ITL25019: Big Data: Storage and Processing and supervises master's theses and project assignments in machine learning.

He serves as chairman of Future Then AS and collaborates on projects related to the digital society. His work is affiliated with the Machine Learning research group at Østfold University College.