Team
PhD Students
- Gonçalo Teixeira de Pinho Ferreira, Hardware-Software Co-Design Methods for Energy-Efficient and Sustainable AI Systems, University of Amsterdam (UvA), Netherlands (co-supervision with Prof. Zhiming Zhao), 2026 – present
- Paul Daniëlse, Root Cause Analysis in Large-Scale Microservices-based Applications, University of Amsterdam (UvA), Netherlands (co-supervision with Prof. Zhiming Zhao), 2024 – present
- Paul J. Maliakel, Resource-Efficient LLM Serving at Scale, TU Wien, Austria (co-supervision with Prof. Ivona Brandic), 2024 – present
- Tharindu Bandara, Carbon-aware Resource Management in Edge-Cloud Systems, University of Melbourne (UniMelb), Australia (co-supervision with Prof. Raj Buyya and Dr. Maria Read), 2021 – 2025 (completed)
Research Assistants / Postdocs
- Adnan Tahir, Postdoc, University of Amsterdam (UvA), Netherlands, 2025 – present
- Gonçalo Teixeira de Pinho Ferreira, Research Assistant, University of Amsterdam (UvA), Netherlands, 2025 – 2026
Master Thesis / Semester Projects
I genuinely enjoy mentoring Master's thesis students — watching them grow from newcomers to contributors at the forefront of the field. Many theses have led to publications at top venues. If you are a student at UvA or Vrije Universiteit Amsterdam and excited about systems research, please reach out via email.
| Student | Thesis Topic | Institution | Year |
|---|---|---|---|
| Jianlong Lei | Resource-Efficient KV Cache Management under Limited Memory Budget for Long-Context Inference in LLMs => (CCGRID 26) | UvA | 2025 |
| Gonçalo T. Ferreira | Sustainable Orchestration of K8s Workloads in Distributed Virtual Research Infrastructures => (TDIS/EuroSys 26) | UvA | 2025 |
| Yingda Song | KV Cache Optimizations in LLM Inference | UvA | 2025 |
| Xinyu Jiang | Carbon-Aware Federated Fine-Tuning of Foundation Models | UvA | 2025 |
| Jingpo Xu | On the Feasibility of LLM Model Sharding in Edge-Cloud | UvA | 2022–2025 |
| Thomas Ziller | Cost-aware Dynamic Router for LLMs => (Preprint) | TU Wien | 2024–2025 |
| Lukas Briem | Towards Resource-Efficient Code Generation through Dynamic Early Exits in LLMs => (CCGRID 25) | TU Wien | 2024–2025 |
| Julia Oberauner | A Runtime Controller for Latency-Sensitive Edge Applications | TU Wien | 2024–2025 |
| Daniel May | A Hardware-Software Optimization Framework for Energy-aware Inference in Edge AI => (Preprint) | TU Wien | 2024–2025 |
| Matthias Eder | Data-driven Methods for Climate Change Modelling in Hydrology | TU Wien | 2024 |
| Paul J. Maliakel | Achieving Sustainable Federated Edge Analytics by Using Incomplete Data => (EdgeSys 24) | TU Wien | 2023 |
| Viktorija Pruckovskaja | Performance Analysis of Federated Learning Algorithms for Industrial Use Cases | TU Wien + AIT | 2023 |
| Daniel Hofstätter | Symbolic Representation of Data on Edge => (EuroPar 23) 🏆 | TU Wien | 2023 |
| Meerzhan Kanatbekova | Symbolic Data Representation of Multi-Media Data on Edge => (ICSOC 24) | TU Wien | 2022 |
| Mayank Jha | Statistical Characterization of a Cloud Data Center => (UCC 23) 🏆 | TU Wien + U. L'Aquila | 2022 |
| Jakob Fahringer | Decentralized Monitoring in Edge => (UCC 22) | TU Wien | 2022 |
| Tahseen Khan | Workload Forecasting in Cloud => (FGCS 22, JNCA 22) | UniMelb | 2021 |
| Shreshth Tuli | RL-based Scheduling in Edge-Cloud => (TMC 22) | UniMelb | 2020 |
| Nipum Basumati | RL-based Scheduling in Edge-Cloud | UniMelb | 2020 |
| Radhika Chhikara | Parallel Processing of Power-BI Applications using Ankea | UniMelb | 2019 |