Niklas Gador

Niklas Gador is a Senior Lecturer in the Department of Computer Science at the Faculty of Natural Science. His research focuses on applying machine learning techniques to microbiological challenges, particularly in water distribution systems. He specializes in visualization, classification, anomaly detection, forecasting, and reinforcement learning, using Python as his primary tool. Current teaching responsibilities include courses in Discrete Mathematics, Statistics, Methods for Measuring Electricity, and Calculus and Algebra.

Research collaborations include projects like EIVF-AI (Enhancing In Vitro Fertilization with AI) and studies on bacterial changes in drinking water systems post-monochloramine removal. He has participated in conferences such as the 3rd Annual RECS Workshop on AI and organized events on smart AI taxi systems. His work frequently involves flow cytometry and environmental data analysis.

He serves as a deputy supervisor for a PhD project on bathing water quality using machine learning and DNA-based methods. Despite his active research profile, no scientific awards are explicitly mentioned in the provided texts.