University Assistant
Ing. Dipl.-Ing., BSc

d.kleebinder@dsg.tuwien.ac.at

+43 1 58801 18456

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Short CV

Daniel is a University Assistant and PhD student at the Distributed Systems Group (DSG) at TU Wien, Austria. He joined the research group in March 2026, following a career as a Software Architect and Team Lead at fms/Austrosoft, where he coordinated a group of seven software engineers developing web- and edge-based applications. Daniel earned his Master’s degree from TU Wien with distinction in 2022, specializing in traceable state management, and completed his Bachelor’s degree at UAS Technikum Wien in 2019.

Research Interests

My research interests lie at the intersection of space-based computing, distributed systems, and the Internet of Things. I aim to provide a fresh perspective by shedding new light on existing problems, architectures, and mechanisms. While I stay engaged with the rapid developments in AI systems, my core focus remains on the structural, networking, and runtime abstractions required to build resilient, ultra-low-latency continuum systems spanning from Earth to orbit.

• Space-Based Computing & Orbital Edge Systems. Exploring the transition of satellites, space stations, and surface outposts from passive relays into active, highly distributed compute nodes. My research addresses the computational challenges spanning Low Earth Orbit (LEO) to deep space, focusing on managing heterogeneous, resource-constrained hardware under extreme thermal and energy budgets. A key aspect of my work involves bridging extreme network dynamics and high churn (at speeds around 27,000 km/h) using novel runtime paradigms, such as Virtual Stationarity, to achieve continuous, ultra-low-latency execution across moving orbital constellations.
• Internet of Things & Integrated Space-Terrestrial Continuums. Designing, deploying, and orchestrating distributed systems across edge and IoT ecosystems. I am particularly interested in unifying orbital edge computing with terrestrial IoT frameworks to solve complex, real-world problems down on Earth. My focus includes maritime and agricultural domains (such as enabling interactive, sub-10 ms workflows for remote offshore operations) by seamlessly bridging spaceborne infrastructure with ground-level sensor networks.
• Distributed Computer Systems Architecture. End-to-end design, implementation, and orchestration of large-scale distributed systems, covering the entire lifecycle from requirements engineering to runtime execution. My research spans multiple layers of the computing stack, from low-level networking protocols to high-level application abstractions. I focus on handling hardware heterogeneity, capability virtualization, and state synchronization across volatile edge and cloud environments.

Teaching

Courses

I am currently part of the teaching teams for the following courses at TU Wien:

Thesis Supervision

If you are interested in a topic that fits my research interests, I can co-advise your bachelor’s or master’s thesis.

Master’s Theses

• Raoul Wograndl. A Middleware for LEO Live Migration Orchestration. (in progress)
• Michael Winkler. Self-Provisioning Co-located Distributed Data Structures for Serverless Computing. (in progress)

My Theses

• Daniel Kleebinder, Time-travelling state machines for verifiable BPM, Diploma Thesis, TU Wien, 2022.
• Daniel Kleebinder, Ivy Renderer in the Angular Framework: A Comparison to the State-of-the-Art, Bachelor’s Thesis, UAS Technikum Wien, 2019

Academic Activities

Reviewer

I have been a reviewer for the following:

Journals

• IEEE Transactions on Computers (TC)
• IEEE Transactions on Mobile Computing (TMC)
• IEEE Open Journal of the Computer Society (OJ)
• IEEE Computer (COM)
• ACM Transactions on Internet Technology (TOIT)

Conferences

• IEEE International Conference on Distributed Computing Systems (ICDCS)
• IEEE International Conference on Autonomic Computing and Self-Organizing Systems (ACSOS)
• IEEE International Conference on Data Mining (ICDM)
• IEEE International Conference on Federated Learning Technologies and Applications (FLTA)
• IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT)
• International Conference on the Internet of Things (IoT)
• International Workshop on Scalable Compute Continuum (WSCC)
• International Workshop on Modern Application Architectures: Serverless, Microservices, and the Edge-Cloud Continuum