M.Eng. Thesis
"Implementation and Evaluation of Conditional Generative Adversarial Networks for Fast Indoor Airflow Prediction" (2021)
Research / Specialization
Dominik studied mechanical engineering in conjunction with Valeo Thermal Systems GmbH and received his bachelor's degree in mechanical engineering from the University of Applied Sciences Coburg, Germany. He was awarded the Medal of Merit in 2018 for his volunteer work at the Institute for Sensor and Actuator Technology (ISAT) in Coburg, Germany. After graduation, he worked as a student research assistant at the Applied Fluid Mechanics Laboratory at the Coburg University of Applied Sciences and helped to create a new experimental setup for airflow acoustic measurements. He is currently completing his master's degree in Simulation and Testing from Coburg University of Applied Sciences, Germany. He received the Europe-Colorado Mobility Program that support him to work on his master's thesis on the implementation of a machine learning approach for fast indoor airflow prediction in collaboration with the Sustainable Buildings and Societies Laboratory at the University of Colorado Boulder via the . He is interested in applied fluid mechanics and applied aeroacoustics. Furthermore, his areas of interest are computational fluid dynamics, machine learning approaches for airflow prediction, and sustainable energy.