Finished PhD Thesis

1. O. Skarlat, Resource Provisioning in Fog Computing, TU Wien, 2023.
2. B. Karagiannis, Self-Organizing Fog Computing Systems, TU Wien, 2021.
3. M. Borkowski, Predictive Approaches for Resource Provisioning in Distributed Systems, PhD Thesis, TU Wien, 2020.
4. P. Waibel, Cloud-Based Elasticity for Business Processes and Data Storage, PhD Thesis, TU Wien, 2020.
5. C. Hochreiner, An Elastic Data Stream Processing Ecosystem for Distributed Environments, PhD Thesis, TU Wien, 2018. (Co-Supervised).
   Award of the City of Vienna for outstanding PhD Thesis at TU Wien, 2019.
6. P. Hoenisch, Elastic Business Process Management in the Cloud, PhD Thesis, TU Wien, 2015. (Co-Supervised).
   Award of the City of Vienna for outstanding PhD Thesis at TU Wien, 2016.

Bachelor and Master Thesis Supervised During Prof. Schulte's Tenure at TU Wien and TU Hamburg

1. M. Kobelt, Routing Multi-Hop Cross-Blockchain Communication, Research Project, TU Hamburg, 2024.
2. F. Gottschalk, WebAssembly for Federated Learning, Bachelor Thesis, TU Hamburg, 2024.
3. P. Greitbauer, Exploring Interoperability and Scalability in DAG-based Distributed Ledger Technologies: A Case Study of Relay Implementation, Master Thesis, TU Wien, 2024.
4. S. Quadri, Mitigating Model Inversion Attacks in GAN-based Federated Learing, Master Thesis, TU Hamburg, 2024.
5. D. Tosic, Blockchain Interoperability: A Cross-Chain Token Transfer Protocol, Master Thesis, TU Wien, 2024.
6. M. Bhardwaj, Privacy-Aware Business Process Execution on Distributed Ledger, Research Project, TU Hamburg, 2024.
7. A.Z. Zoabi, Junta-Election Protocols in the Presence of Bycantine Agents, Bachelor Thesis, TU Hamburg, 2024.
8. M. Lange, RPC-Based Cross-Blockchain Smart Contract Calls, Research Project, TU Hamburg, 2024.
9. M. Thakrar, Detection, Classification and -Suggestion of Posture using Deep Learing, Master Thesis, TU Hamburg, 2024.
10. E. Doclaf, Zero-Knowledge-Based Cross-Rollup Communication System, Research Project, TU Hamburg, 2024.
11. A. Voilova, A Machine Learning Detector for the Patient Zero Problem Using Graph Neural Networks, Bachelor Thesis, TU Hamburg, 2024.
12. T. Heidorn, An Interactive Tool for Group Assignment, Bachelor Thesis, TU Hamburg, 2024.
13. K. Scharper, Identifying Atomic Swaps, Research Project, TU Hamburg, 2024.
14. T. Müller, Adaptive Mechanism for Layer-2 Blockchain Selection, Bachelor Thesis, TU Hamburg, 2024.
15. N. Petersen, Self-Stabilizing Leader Election on a Ring: An Empirical Analysis, Bachelor Thesis, TU Hamburg, 2024.
16. J. Leslie, Empirical Analysis of the Dispersion Time of Random Walks: Sequential vs. Parallel Interval Diffusion Limited Aggregation, Bachelor Thesis, TU Hamburg, 2024.
17. K. Kyungmi, Group Testing: Learning the Infection Status, Bachelor Thesis, TU Hamburg, 2024.
18. T. Grönwoldt, Simulation of Distributed Majority Protocols: Exploring Multi-Opinion Scenarios, Bachelor Thesis, TU Hamburg, 2024.
19. M. Klönne, Multi-Blockchain Token System, Research Project, TU Hamburg, 2024.
20. F.M. Saile, Federated Learning with Client-Sided Adaptation to Concept Drift, Bachelor Thesis, TU Hamburg, 2023.
21. M. Baczkowski, Biased Consensus in the Population Protocol Model: An Empirical Analysis, Bachelor Thesis, TU Hamburg, 2023.
22. J. Thomas, Client Selection for Federated Learning under Concept Drift, Bachelor Thesis, TU Hamburg, 2023.
23. A. Starkova, Reputation-Based Node Assignment in Blockchain Sharding, Bachelor Thesis, TU Hamburg, 2023.
24. M. Kobelt, A Benchmarking Platform for Zero-Knowledge Proofs, Bachelor Thesis, TU Hamburg, 2023.
25. M. Schäfer, Understanding the Energy Consumption of Solidity Smart Contracts, Bachelor Thesis, TU Hamburg, 2023.
26. F. Wählen, Cross-Blockchain Communication for Business Processes using State Pinning, Bachelor Thesis, TU Hamburg, 2023.
27. R. Ecker, Latency-Aware Stream Operator Placement Optimisation in Fog Computing Environments, Master Thesis, TU Wien, 2022.
28. C. Egge, A Repository for Solidity Smart Contracts, Bachelor Thesis, TU Hamburg, 2022.
29. N. Haimerl, Blockchain-based Federated Learning with Data Verification through Zero-Knowledge Proofs, Master Thesis, TU Wien, 2022.
30. D. Khuu, Data Poisoning Detection in Federated Learning, Bachelor Thesis, TU Hamburg, 2022. Winner of the KuVS-Award for the best bachelor thesis, 2022.
31. A. Keusch, Edge Intelligence for Detecting Deviations in Batch-based Industrial Processes, Bachelor Thesis, TU Wien, 2022.
32. A. Krystallidis, Improving Federated Learning Performance with the Usage of Software-Defined Networks, Bachelor Thesis, TU Wien, 2022.
33. T. Molitor, Analysis of IoT Databases for Aircrafts, Bachelor Thesis, TU Hamburg, 2022.
34. Y. Qin, Practical Issues in Federated Learning: Concept Drift, Bachelor Thesis, TU Hamburg, 2022.
35. D. Scheffknecht, A Game Theoretic Approach for Computational Offloading in Fog Computing, Master Thesis, TU Wien, 2022.
36. J. Sochovsky, Dynamic Dependency-based Scheduling in Osmotic Computing, Master Thesis, TU Wien, 2022.
37. A. Suhih, Incentive Mechanisms in Fog Computing, Master Thesis, TU Wien, 2022.
38. D. Jäger, Edge Client Integration and Federation of Machine Learning Models, Bachelor Thesis, TU Wien, 2021.
39. B. Körbel, A Blockchain-based Computation Offloading Approach with Result Verification, Master Thesis, TU Wien, 2021.
40. M. Schrabauer, Lambda Architecture for Distributed Stream Processing in the Fog, Master Thesis, TU Wien, 2021.
41. A. Wais, Optimizing Container Elasticity for Microservices in Hybrid Clouds, Master Thesis, TU Wien, 2021.
42. T. Brandstätter, Optimization of Solidity Smart Contracts, Master Thesis, TU Wien, 2020.
43. M. Fabsich, A Privacy-Preserving Storage Service for the Fog, Master Thesis, TU Wien, 2020.
44. M. Frühwirth, Secure, Cost-Efficient and Redundant Data Placement in the Cloud, Master Thesis, TU Wien, 2020.
45. M. Kühne, Extending Cross-Blockchain Token Transfers, Master Thesis, TU Wien, 2020.
46. M. Leitner, Virtualization of Internet of Things Devices, Master Thesis, TU Wien, 2020.
47. D. Lobmaier, Routing Algorithms in Blockchain-based Payment Channel Networks, Master Thesis, TU Wien, 2020.
48. D. Mailer, Business Models for Fog Computing, Bachelor Thesis, TU Wien, 2020.
49. M. Sober, Smart Contracts for a Decentralized IoT Data Marketplace, Master Thesis, TU Wien, 2020.
50. M. Nissl, Cross-Blockchain Smart Contracts, Master Thesis, TU Wien, 2019. Winner of the Austrian “Würdigungspreis” for the 50 best university graduates in Austria in the year 2019.
51. M. Veit, Blockchain-native Applications, Master Thesis, TU Wien, 2019.
52. S. Videnov, Decentralised Data Provenance based on the Blockchain, Master Thesis, TU Wien, 2019.
53. P. Frauenthaler, A Framework for Blockchain Interoperability and Runtime Selection, Master Thesis, TU Wien, 2018.
    Winner of the OCG Incentive Award by the Austrian Computer Society for the best Master thesis in computer science and business informatics in Austria, 2019. Shortlisted for EPILOG award, winter semester 2018/19.
54. B. Knasmüller, On Fault Tolerance in Stream Processing Systems, Master Thesis, TU Wien, 2018.
    Award of the City of Vienna for outstanding Master Thesis at TU Wien, 2018.
55. R. Konlechner, Using the Internet of Things and real-time data for optimizing freight streams in transportation networks, Master Thesis, TU Wien, 2018.
56. S. Krejci, Enabling the Blockchain in the Internet of Things, Master Thesis, TU Wien, 2018.
57. S. Meixner, Data-Driven Automatic Deployment in Edge Computing, Master Thesis, TU Wien, 2018.
58. M. Rauch, Transitioning to Microservices, Bachelor Thesis, TU Wien, 2018.
59. A. Rosegger, Smart Contract Middleware for the Internet of Things, Bachelor Thesis, TU Wien, 2018.
60. C. Schubert, Trustworthy Measurement and Arbitration of Service Level Agreements in the Cloud, Master Thesis, TU Wien, 2018.
61. S. Weninger, Data Prefetching in Smart Systems, Bachelor Thesis, TU Wien, 2018.
62. K. Bachmann, Design and Implementation of a Fog Computing Framework, Master Thesis, TU Wien, 2017.
63. M. Bartal, Development of a Smart-Factory-Testbed (Software), Bachelor Thesis, TU Wien, 2017.
64. T. Biasion, A Network-Driven Business Model Framework regarding the Internet of Things Industry, Master Thesis, TU Wien, 2017.
65. R. Ganaus, Deployment Techniques for Dynamic Application Scenarios, Bachelor Thesis, TU Wien, 2017.
66. A. Gerstmayr, Performance Evaluation and Integration of the Ceph File System, Bachelor Thesis, TU Wien, 2017.
67. T. Hießl, Optimizing the Placement of Stream Processing Operators in the Fog, Master Thesis, TU Wien, 2017.
68. J. Matt, Dynamic Optimization of Data Object Placement in the Cloud, Master Thesis, TU Wien, 2017.
69. D. B. Molnar, Development of a Smart-Factory-Testbed (Hardware), Bachelor Thesis, TU Wien, 2017.
70. A. Prennsberger, Distributed Optimization of Cloud Resource Allocation, Master Thesis, TU Wien, 2017.
71. C. Prybila, Runtime Verification for Business Processes utilizing the Blockchain, Master Thesis, TU Wien, 2017.
    Shortlisted for EPILOG award, summer semester 2017.
72. G. Sheganaku, Optimized Auto Scaling of Elastic Processes in the Cloud using Docker Containers, Master Thesis, TU Wien, 2017.
    Shortlisted for EPILOG award, winter semester 2017/18
    Winner of award for student thesis awarded by “Internetoffensive Österreich / Wirtschaftskammer Oberösterreich”, 2018
    Winner of award “GP-Nachwuchspreis” for best Master thesis awarded by the “Gesellschaft für Prozessmanagement”, 2018.
73. A. Carrasco, Scalability for Stream Processing Frameworks, Bachelor Thesis, TU Wien, 2016.
74. A. Rashed, Evaluation of HATEOAS Support by Java Frameworks, Bachelor Thesis, TU Wien, 2016.
75. T. Rausch, Improving Feedback Mechanisms in Continuous Integration Workflows, Master Thesis, TU Wien, 2016.
76. M. Geier, Context-aware Offline Support for Mobile Applications, Bachelor Thesis, TU Wien, 2014.