Fabian Groh

Professional Background

Fabian Groh is currently in the final stages of his PhD in Computer Science at Eberhard Karls Universität Tübingen, where he has devoted years to researching and exploring the intricate realms of 3D real-world scenes. His work adeptly merges the fields of Computer Vision and Computer Graphics, emphasizing the innovative development of specialized layers for Machine Learning and Deep Learning applications. By leveraging GPU programming, specifically using CUDA, Fabian is committed to delivering real-time and large-scale processing results, which is critical in today’s fast-paced technological landscape. In an endeavor to blend theoretical knowledge with practical application, Fabian has garnered extensive experience in hardware through his operational role in a photometric lab. Here, he skillfully captures the reflectance properties in conjunction with the geometric shapes of real-world objects, utilizing sophisticated setups that involve multiple cameras and projectors inside a specially designed Light-Stage.

Education and Achievements

Fabian's educational trajectory commenced at Universität Ulm, where he earned his Diplom-Ingenieur degree in Medieninformatik. His strong foundation in media informatics laid the groundwork for his advanced study in computer science. Following his time at Universität Ulm, he took a significant step towards academic excellence by enrolling in the PhD program at Eberhard Karls Universität Tübingen. Throughout this journey, Fabian has not only focused on his research interests but has also participated actively in various academic engagements that enhance his knowledge and expertise in his field.

In addition to his academic pursuits, Fabian has sharpened his skills through practical work experience. As a Software Development Engineer at Amazon, he has gained valuable insights and hands-on experience in software development processes, which complements his research endeavors. This combination of high-level academic training and real-world industry experience positions him uniquely at the intersection of theoretical knowledge and practical application, enabling him to make significant contributions to his field.

Achievements

Fabian’s body of work stands as a testament to his commitment to advancing the domains of computer science and engineering. His research in the area of 3D real-world scenes has the potential to unlock new possibilities in various applications, from gaming to autonomous vehicles to augmented reality. By tackling the complexities of real-time rendering and data processing using GPU programming, he is poised to leave a mark on the industry's technological advancements. His achievements throughout his academic and professional journey demonstrate a dedication not only to his individual success but also to the broader impact of technology on society.