PhD Forum

Keynote: Research Skills and their Application in the (Big Data) Industry

Speaker: Dominik Buse

Date and Time: Monday, September 1, 2025, 13:30

During your time in academia, you'll acquire a broad range of skills, such as experimentation, data evaluation, problem solving, presenting, and many more. Some of them seem to obviously translate into industry roles, such as the classical software engineer,  but others maybe not so much. In this talk, I want to share my experience of the things I did learn during my PhD, which parts I now use a lot, and what I would have liked to know at an earlier stage in my life.

Biography: Dominik Buse (Distributed Systems Performance Engineer, Snowflake Computing) graduated with a PhD in Computer Science from TU Berlin, after previously studying and working as a research at Paderborn University. His research focused on the simulation of wireless Car2Car networks. He then switched domains into cloud databases and now optimizes the performance of Snowflake's huge data platform by authoring benchmarks, building distributed system analysis tooling, and shaping how Snowflake uses the next generations of high-performance cloud hardware

Posters

• Total Order in Publish/Subscribe Systems (A. Baghdadi)
• Dynamically Scheduled Mixed Critical Wired-Wireless TSN-Networks (J. Bigge)
• State of the art of P2P DTNs (L. Buhl)
• 5G-connected Drones: Command and Control, Interference, and Height Estimation (E. Caballero)
• Towards an Integrated Rail-to-Orbit Simulator with Digital Elevation Model Support (M. Franke)
• Force-Based Optimization of UAV 3D Placement for Fault-Tolerant FANETs (M. Greiner)
• Optical Computing in Data Processing Applications (W. Huang)
• Learning-Based Autonomous Network Management in Heterogeneous Mobile Networks (M. Illian)
• Designing Memory-less, Energy-Efficient Co-Processors Using Superconducting Temporal Computing (U. Majeed)
• Network Optimization for Ad-Hoc Scenarios in IoT-Systems regarding Zero-Trust Principles (A. Niedermayer)
• Lightweight Anonymizing Overlay Networks (P. Prechtel) 
• Heterogeneous co-simulation of cooperative mobile systems (T. H. Pritom)
• Performance-Preserving and Efficient Inference Serving (M. Salmani)
• Unified Policy Distribution in Zero Trust Networks (J. Schoffit)
• Towards Chaos Experiments for Cloud-Native Microservices in the Insurance Industry (Chr. Schulze)
• Towards Sustainability for Data Center Networks with Reinforcement Learning (O. Wandschneider)
• Enabling Highly Dynamic Wireless Networks Through Heterogeneous Communication (S. Welzel)
• SmartNIC-Accelerated Data Processing for Machine Learning (S. Zohdi)

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