Research Topic:

Reliable and Secure Data Science Workloads in Data Centers

Supervisors:

Prof. Julian Kunkel (GDWG)

Thesis Abstract:

"Reliable and Secure Data Science Workloads in Data Centers," investigates how high-performance computing systems can withstand faults, errors, and security threats while preserving data integrity, and develops methods to strengthen their resilience and security. This work supports trustworthy execution of data-intensive scientific and AI workloads in data center environments.

Conference Presentations:

•ISC 26 I/O in the data center workshop