Supervision

PhD Students

  • Zoha Azimi (Sept 2023 – Sept 2027)
    • University of Klagenfurt, Austria (PhD Advisor and Technical Supervisor).
    • Dissertation: AI-Assisted Sustainable Systems for Video Streaming Applications
  • Mario Colosi (Dec 2024 – Dec 2025)
    • University of Messina, Italy and Visiting student at University of Klagenfurt, Austria, (Co-supervisor with Prof. Massimo Villari).
    • Dissertation: Beyond the Client–Server Paradigm: Modernizing Distributed Architectures Across the Computing Continuum,
  • Marco Garofalo
    • University of Pisa, Italy (PhD Thesis Referee)
    • Dissertation: Advancing Edge AI: Frameworks and Strategies for Trustworthy and Efficient Collaborative Learning

Master Students

I enjoy mentoring and supervising Master’s thesis students and working closely with them on research topics. It is particularly interesting to see students develop their ideas and research skills throughout the seminar and thesis project. If you are at University of Klagenfurt or TU WIEN and interested in a thesis topic related to my research areas under the umbrella of distributed and networked systems and services, such as edge–cloud computing, distributed multimedia, serverless systems, AI on the computing continuum, or sustainable distributed systems, feel free to contact me via email.

  • Kevin Castillo Cacsire (March 2026 – present)
    • TU Wien, Austria (Supervisor)
    • Thesis: (in progress)
  • Daniel Kaltenböck (Feb 2026 – present)
    • TU Wien, Austria (Supervisor)
    • Thesis: Serverless Graph Processing on the Edge-Cloud Continuum (in progress)
  • Manuel Hoi (March 2026 – present)
    • University of Klagenfurt, Austria (Supervisor).
    • Thesis: Adaptive Intelligent Video Analytics on the Edge-Cloud Continuum (in progress)
  • Elif Toraman (Feb 2026 – present)
    • University of Klagenfurt, Austria (Supervisor)
    • Thesis: Intent-based Orchestration of Serverless Applications on the the Edge Environment (in progress)
  • Antonios Marinidis (Nov 2025 – present)
    • University of Klagenfurt, Austria (Supervisor)
    • Thesis: Intent-based Computing Continuum Management Using Open-Source LLMs (in progress)

Bachelor Students

  • Stefan-Lucian Muresan (April 2026)
    • TU Wien, Austria (Supervisor)
    • Thesis: ML-based Traffic Classification at the Edge-Cloud Systems (in progress)

Intern Students

  • Moritz Pecher (Aug 2022)
    • University of Klagenfurt, Austria.
    • Project: Benchmarking Video Streaming Metrics
  • Fabio Zinner (Aug 2022)
    • University of Klagenfurt, Austria.
    • Project: Evaluation of Adaptive Streaming using Mininet

Open Bachelor and Master Thesis Topics

I am always happy to supervise motivated Bachelor and Master students working on topics related to distributed and networked systems, edge–cloud computing, serverless orchestration, AI-driven systems, and distributed multimedia processing/streaming.

Thesis topics are typically defined jointly based on current research directions and the student’s interests. Due to the research-oriented nature of these topics, specific project details are discussed individually.

I am always happy to supervise motivated Bachelor and Master students. Possible thesis topics include:

  • Agentic AI for Distributed System Orchestration

  • Serverless Computing on the Edge–Cloud Continuum

  • AI-driven Orchestration of Edge–Cloud Systems

  • Sustainable AI and Energy-Aware Distributed Systems

  • Edge AI for Drone-based Inspection and Video Analytics

  • WebAssembly and MicroVM-based Lightweight Execution

  • Peer-to-Peer (P2P) Content Delivery and Edge-assisted CDN Systems

  • On-device LLM and Vision-Language Model Inference

  • Software-Defined Networking (SDN) and NFV for Edge–Cloud Systems

  • Adaptive Video Streaming and Processing in Edge–Cloud Systems

  • Serverless Workflow Scheduling Across the Computing Continuum

  • Performance Benchmarking and Observability for Edge–Cloud Systems

  • LLM-assisted System Management and Diagnosis

  • Reinforcement Learning and Active Inference for Edge–Cloud Resource Management

Students interested in these or related topics are encouraged to contact me via email. I am also happy to define thesis topics jointly based on a student’s specific interests.