supervision

ongoing and past thesis supervisions.

Current

Current co-supervisions.

  • Ilija Kulic — Master’s thesis, “LLM-Guided Spatiotemporal Scheduling for Carbon-Aware Distributed Computing” (working title), 2026–present.
    Keywords: carbon-aware computing; geographically distributed computing; LLM-based planning; spatiotemporal workload scheduling; forecast-aware scheduling.

  • Simon Ripphausen — Master’s thesis, “Carbon-Aware Workflow Scheduling with DVFS on Heterogeneous CPU/GPU Clusters” (working title), 2026–present.
    Keywords: carbon-aware computing; DAG workflow scheduling; dynamic voltage and frequency scaling (DVFS); heterogeneous CPU/GPU clusters; mathematical optimization.

  • Tudor-Razvan Gheorghe — Master’s thesis, “LoRaWAN Performance Benchmarking in Alpine IoT Environments”, 2025–present.
    Keywords: LoRaWAN; alpine IoT; livestock monitoring; network performance and scalability; ChirpStack; energy-efficient communication.

Past

Past co-supervisions.

  • Peter Haraszti — Master’s thesis, “Advancing Karst Spring Time Series Forecasting: Transfer Learning through Temporal Fusion Transformers and xLSTM”, 2025–2026.
    Keywords: karst spring forecasting; hydrological time series; Temporal Fusion Transformer; xLSTM; transfer learning; energy-aware machine learning.

  • Maximilian Graf — Bachelor’s thesis, “A Comparative Study of Time-Series Models for Turbidity Forecasting in Water Quality Monitoring”, 2025–2026.
    Keywords: time series forecasting; turbidity; karst springs; LSTM; Transformer; water quality analysis.

  • Ahmed Šabanović — Master’s thesis, “Optimizing Energy Efficiency in Multimodal Learning for Automated Vehicle Damage Evaluation”, 2025–2026.
    Keywords: multimodal learning; energy-efficient fine-tuning; dataset filtering/curation; model compression (pruning, quantization); vehicle damage assessment.