Marius Bock

Marius Bock is an interdisciplinary PhD candidate at the University of Siegen, actively engaged in the research fields of Computer Vision and Ubiquitous Computing.

His primary research area involves the amalgamation of sensor and video data, particularly in the domain of Human Activity Recognition (HAR).

Marius holds a strong academic background with a Master of Science degree in Data Science from Universität Mannheim, a Bachelor of Science in Information Systems from Universität zu Köln, and completed an exchange program focusing on Business Economics at 서울시립대학교.

He has been associated with various prominent organizations, including a PhD scholarship at the House of Young Talents, University of Siegen, a previous role as a Doctoral Researcher at Universität Siegen, and diverse positions at SAP, PwC, Yale University, and Trusted Shops.

Marius Bock has accumulated a wealth of experience through roles such as a Natural Language Processing/Text Technology Working Student, Cybersecurity Intern, research intern at Yale University, as well as various positions at SAP's Innovation Center Silicon Valley and Trusted Shops.

His career journey showcases a blend of academia, research, and industry experience, making him a versatile professional well-versed in the realms of computer science, data science, sensor technology, and human behavior recognition.