Supervision

PhD Students

  • Mr. Paul Daniëlse, PhD Thesis, Root Cause Analysis in Large Scale Micro Services-based Applications, University of Amsterdam (UvA), Netherlands, 2024 - present (co-supervision with Prof. Zhiming Zhao).
  • Mr. Paul. J. Maliakel, PhD Thesis, Resource efficient LLM Serving at Scale, TU Wien, Austria, 2024 - present (co-supervision with Prof. Ivona Brandic).
  • Mr. Tharindu Bandara, PhD Thesis, Carbon-aware Resource Management in Edge-Cloud Systems, University of Melbourne (UniMelb), Australia (remote co-supervision along with Prof. Raj Buyya and Dr Maria Read), 2021 - 2025 (completed).

Research Assistants/Postdocs

  • Mr. Adnan Tahir, Postdoc, 2025-present.
  • Mr. Gonçalo Ferreira, Research Assistant, 2025- present.

Master Thesis/ Semester Projects

I genuinely enjoy mentoring and supervising Master’s thesis students. There is something deeply rewarding about guiding students into research and watching them grow within just a few months — from newcomers to contributors at the forefront of the field. Many of the theses completed under my supervision have resulted in significant contributions to our ongoing research projects, often leading to publications at top international conferences and journals. If you are a student at UvA or Vrije Universiteit Amsterdam (joint CS degree), are excited about cutting-edge systems research, and are interested in working with me, please reach out via email.

  • Jianlong Lei, Master Thesis, Resource-Efficient KV Cache Management under Limited Memory Budget for Long-Context Inference in LLMs, University of Amsterdam, Netherlands, 2025. => (CCGRID 2026).
  • Jingpo Xu, Master Thesis, On the Feasibility of LLM Model Sharding in Edge-Cloud, University of Amsterdam, Netherlands, 2022 - 2025.
  • Gonçalo Teixeira de Pinho Ferreira, Master Thesis, Sustainable Orchestration of K8s Workloads in Distributed Virtual Research Infrastructures, University of Amsterdam, Netherlands, 2025.
  • Yingda Song, Master Thesis, KV Cache Optimizations in LLM Inference, University of Amsterdam, Netherlands, 2025.
  • Xinyu Jiang, Master Thesis, Carbon-Aware Federated Fine-Tuning of Foundation Models, University of Amsterdam, Netherlands, 2025.
  • Mr. Thomas Ziller, Master Thesis, Cost-aware Dynamic Router for LLMs, TU Wien, 2024 - 2025. (preprint).
  • Mr. Lukas Briem, Master Thesis, Towards Resource Efficient Code Generation through Dynamic Early Exits in LLMs, TU Wien, Austria, 2024 - 2025. => (CCGRID 25).
  • Ms. Julia Oberauner, Master Thesis, A Runtime Controller for Latency Sensitive Edge Applications, TU Wien, Austria, 2024 - 2025.
  • Mr. Daniel May, Master Thesis, A Hardware-Software Optimization Framework for Energy-aware Inference in Edge AI, TU Wien, Austria, 2024 - 2025 => (preprint).
  • Matthias Eder, Master Thesis, Data-driven Methods for Climate Change Modelling in Hydrology, TU Wien, Austria, 2024.
  • Mr. Paul. J. Maliakel, Master Thesis, Achieving Sustainable Federated Edge Analytics by Using Incomplete Data, TU Wien, Austria, 2023. -> (EdgeSys 24).
  • Ms. Viktorija Pruckovskaja, Master Thesis, Performance Analysis of Federated Learning Algorithms for Industrial use cases, TU Wien + AIT, Austria, November 2023.
  • Daniel Hofstätter, Semester Project, Symbolic Representation of Data on Edge, TU Wien, 2023. => (EuroPar 23). 🏆 Young Researcher Award, EuroPar 23.
  • Ms. Meerzhan Kanatbekova, Master Thesis, Symbolic Data Representation of Multi-Media Data on Edge, TU Wien, May 2022- November 2022. => (ICSOC 24).
  • Mr. Mayank Jha, Master Thesis, Statistical Characterization of a Cloud Data Center, TU Wien + University of L’aquila, Italy, Feb-2022 – November 2022. => (UCC 23). 🏆 Best Paper Award, UCC 23.
  • Mr. Jakob Fahringer, Bachelor Thesis, Decentralized Monitoring in Edge, TU Wien, Feb - October 2022. => (UCC 22).
  • Mr. Shreshth Tuli, Semester project, RL-based Scheduling in Edge-Cloud, UniMelb, Australia, 2020. => (TMC 22).
  • Mr. Nipum Basumati, Semester project, RL-based Scheduling in Edge-Cloud, UniMelb, Australia, 2020.
  • Mr. Tahseen khan, Semester project, Workload Forecasting in Cloud, UniMelb, Australia, 2021. => (FGCS 22, JNCA 22).
  • Ms. Radhika Chhikara, Master Thesis, Parallel Processing of Power-BI Applications using Ankea, UniMelb, Australia, Jan 2019- June 2019.