Daniel Del Gaudio

2023
Del Gaudio, D.; Schubert, T. and Abdelaal, M. (2023): RTClean: Context-aware Tabular Data Cleaning using Real-time OFDs. In: Proceedings of the 19th Workshop on Context and Activity Modeling and Recognition (COMOREA) at IEEE Percom, 2023

2022
Hirmer, P., Breitenbücher, U., Del Gaudio, D., Képes, K., Leymann, F., Mitschang, B., Przytarski, D. Situation-Aware Adaptation of Choreographies - The DiStOPT Approach. Frontiers in the Internet of Things, 1, 8.

Del Gaudio, D.; Imeri A. and Hirmer, P. (2022). A Failure Prediction Platform for Internet of Things Applications. In Proceedings of the 7th International Conference on Internet of Things, Big Data and Security

Del Gaudio, D.; Ariguib, B.; Bartenbach, A. and Solakis, G.: A live context model for semantic reasoning in IoT applications. In: Proceedings of the 18th Workshop on Context and Activity Modeling and Recognition (COMOREA) at IEEE Percom, 2022

2021
Del Gaudio, D. and Hirmer, P. (2021). The IoT vision – Challenges and Research Gaps. International Journal of Organizational and Collective Intelligence (IJOCI). 11(4).

Del Gaudio, D. and Hirmer, P. (2021). Towards Feedback Loops to Increase Failure Tolerance in Model-Driven IoT Applications. Communications in Computer and Information Science (CCIS).

2020
Del Gaudio, D. and Hirmer, P. (2020). Seamless Integration of Devices in Industry 4.0 Environments. Internet of Things, 100321. https://doi.org/10.1016/j.iot.2020.100321

Del Gaudio, D.; Reichel, M. and Hirmer, P. (2020). A Life Cycle Method for Device Management in Dynamic IoT Environments. In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-426-8, pages 46-56. DOI: 10.5220/0009340900460056

Del Gaudio, D. and Hirmer, P. (2020). Fulfilling the IoT Vision: Are We There Yet?. In Proceedings of the 5th International Conference on Internet of Things, Big Data and Security - Volume 1: IoTBDS, ISBN 978-989-758-426-8, pages 367-374. DOI: 10.5220/0009439603670374

2019
Del Gaudio, D. and Hirmer, P. (2019). A lightweight messaging engine for decentralized data processing in the Internet of Things. SICS Softw.-Inensiv. Cyber-Phys. Syst. https://doi.org/10.1007/s00450-019-00410-z

2018
Del Gaudio, D. (2018). Execution of data flow models in distributed IoT environments (Master's thesis). http://dx.doi.org/10.18419/opus-10301

Current student projects:

• Suggestion of data validation methods for IoT data using context models, Bachelor Thesis
• Data Preprocessing for Application Scenarios of Digital Twins of Connected Vehicles, Master Thesis
• Automated Ontology Generation for Machine Learning based Error Detection on IoT Data, Master Thesis
• Context-aware Machine-Learning-based Error Detection, Master Thesis

Finished student projects:

• Automated data validation in model-driven IoT applications, Master Thesis, 2023
  Aggregation of sensor data in model-driven IoT applications, Bachelor Thesis, 2023
• Categorization and evaluation of methods and techniques for IoT data validation, Research Project, 2023
• Context-Aware Data Validation for Machine Learning Pipelines, Master Thesis, 2022
• Deployment and Execution of Distributed Data Pipelines in Software-Defined-Car Applications, Master Thesis, 2022
• Monitoring system for model-driven IoT applications, Bachelor Thesis, 2022
• Improving Failure-Tolerance in IoT Application Development, Master Thesis, 2022
• Efficient validation of time series data using reasoning, Master Thesis, 2022
• Implementation of a distributed communication component for model-driven IoT applications, Research Project, 2022
• Development of an extensible interface for context data of IoT applications, Research Project, 2022
• A study on semantic reasoning on sensor data streams in IoT environments, Research Project, 2022
• Improving robustness and resilience of data processing in IoT environments, Bachelor Thesis, 2020
• Automated integration of IoT devices in IoT environments, Bachelor Thesis, 2019
• Distributed detection of complex events in IoT environments, Bachelor Thesis, 2019
• Database systems for IoT devices, Research Project, 2019