Prof. Dr. Stefan Decker - Theses
Master
A Blockchain Enabled Fast Consensus Mechanism in Federal Learning - Open
Supervised by Prof. Dr. Stefan Decker; Advisor(s):
Dr. Oya Deniz Beyan,
Yongli Mou,
Fengyang Guo
Bachelor
Customisable Data Safes for a Distributed Analytics Platform - Open
Supervised by Prof. Dr. Stefan Decker; Advisor(s):
Sascha Martin Welten, M.Sc.,
Yongli Mou
Bachelor, Master
Entwicklung einer Co-Simulationsumgebung zur Abbildung des Prozessdatenverkehrs von intelligenten Energienetzen - Open
Supervised by Prof. Dr. Stefan Decker, Dr-Ing. Michael Andres
Bachelor, Master
Entwicklung eines Bilderkennungsverfahrens auf Basis neuronaler Netze zur Identifikation elektrischer Anlagen - Open
Supervised by Prof. Dr. Stefan Decker, Dr.-Ing. Michael Andres
Master
Bachelor, Master
Entwicklung eines Systems zur Angriffserkennung in intelligenten Energienetzen - Open
Supervised by Prof. Dr. Stefan Decker, Dr-Ing. Michael Andres
Master
Exploring Unknown Environments - Finding Pollution in Underground Pipes - Open
Supervised by Prof. Dr.-Ing. Gerd Ascheid, Prof. Dr. Stefan Decker; Advisor(s):
Dr. Michael Cochez,
Ahmed Hallawa
Master
Investigating Replay Methods for Institutional Incremental Learning - Open
Supervised by Prof. Dr. Stefan Decker; Advisor(s):
Sascha Martin Welten, M.Sc.,
Yongli Mou
Bachelor, Master
Modellierung und Analyse der Anwendbarkeit von Blockchain Technologien in der Energieversorgung - Open
Supervised by Prof. Dr. Stefan Decker, Dr-Ing. Michael Andres
Bachelor, Master
Master
Trust Mechanism against Poisoning Attacks in Federated Learning - Open
Supervised by Prof. Dr. Stefan Decker; Advisor(s):
Dr. Oya Deniz Beyan,
Yongli Mou,
Geng Jiahui
Bachelor
A Conceptual Framework Towards Application-specific Presentation Views on Knowledge Organization Systems - Running
Supervised by Prof. Dr. Stefan Decker; Advisor(s):
Dr. Oya Deniz Beyan,
Heiner Oberkampf,
Jan Winkelmann
Bachelor, Master
A containerisation pipeline for distributed analytics algorithms: The algorithm assembly line - Running
Supervised by Prof. Dr. Stefan Decker; Advisor(s):
Sascha Martin Welten, M.Sc.,
Dr. Oya Deniz Beyan
Master
A Privacy-Preserving Machine Learning Approach for DGA Detection - Running
Supervised by Prof. Dr. Ulrike Meyer, Prof. Dr. Stefan Decker; Advisor(s):
Arthur Drichel,
Mehdi Akbari Gurabi, M.Sc.
Bachelor
Authenticity, Integrity and Trust for Data Reuse in Resource Oriented Architectures - Running
Supervised by Prof. Dr. Stefan Decker, Prof. Dr.-Ing. Klaus Wehrle; Advisor(s):
Lars Gleim, M. Sc.,
Jan Pennekamp
Development of a content security model for authenticity and integrity in resource oriented architectures, based on content signing (public-key cryptography) and hash-chaining/Merkle trees (incorporating the hash/signature of previous revisions and referenced existing resources).
SmartGreens 2021 Conference Chair 