Michail Georgoulakis Misegiannis, M.Eng.
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Forschungsgebiete
- Cloud-based analytics
- Query optimization
- Caching architectures
- Scheduling, Workload Management
- Autoscaling/serverless architectures
Publikationen
Lehre
| SS 2026: | Praktikum: Cloud-Based Data Processing |
| WS 2025/2026: | Advanced Algorithms in Competitive Programming |
| SS 2025: | Data Processing on Modern Hardware |
| WS 2024/2025: | Cloud-Based Data Processing |
| SS 2024: | Data Processing on Modern Hardware |
| WS 2023/2024: | Cloud-Based Data Processing |
| SS 2023: | Data Processing on Modern Hardware |
| SS 2023: | Seminar - Modern Database Systems |
| WS 2022/2023: | Cloud-Based Data Processing |
Verfügbare Themen
I am happy to supervise Bachelor's theses (BT), Master's theses (MT), and Guided Research (GR) projects on any of my interests or on the open topics below. Please reach out by email with your CV and transcript if you are interested.
Topics can typically be tailored to fit the scope of a BT, GR, or MT. If you have your own topic idea related to my research interests, I am happy to discuss it.
Betreute Arbeiten
- A GUIde for Tuning and Troubleshooting Parallel Query Processing (BT)
- Quantifying the noisy neighbor problem in the Cloud (GR)
- Syslog Collection and Analysis of network devices in Microsoft Azure (MT)
- Workload-driven Optimization of Autoscaling Systems using Heterogeneous Nodes (MT)
- Designing A Unified In-Memory Caching Layer for Cloud OLAP Workloads (MT)
- Cost-Performance Optimization in Serverless Query Engines (GR)
- Designing an Interactive Visualization Tool for Cloud-Based Analytics Simulations (BT)
- Stabilizing discrete GPU Unified Memory Performance Under Oversubscription (GR)
- Kernel-Based Hypervisor for Lightweight VMs (BT, ongoing)