Tawakuli, A. (2022). TRANSFORMING DATA PREPROCESSING: A HOLISTIC, NORMALIZED AND DISTRIBUTED APPROACH [Doctoral thesis, Unilu - University of Luxembourg]. ORBilu-University of Luxembourg. https://orbilu.uni.lu/handle/10993/52262 |
Tawakuli, A., & Engel, T. (2022). The Impact Of Distributed Data Preprocessing On Automotive Data Streams. 2022 IEEE 96th Vehicular Technology Conference: (VTC2022-Fall). doi:10.1109/VTC2022-Fall57202.2022.10012853 Peer reviewed |
Tawakuli, A., Kaiser, D., & Engel, T. (2022). Transforming IoT Data Preprocessing: A Holistic, Normalized and Distributed Approach. The Fifth International Workshop on Data: Acquisition To Analysis. doi:10.1145/3560905.3567762 Peer reviewed |
Tawakuli, A., Kaiser, D., & Engel, T. (2021). Synchronized Preprocessing of Sensor Data. 2020 IEEE International Conference on Big Data, 3522-3531. doi:10.1109/BigData50022.2020.9377900 Peer reviewed |
Ellampallil Venugopal, V., Theobald, M., Chaychi, S., & Tawakuli, A. (2020). AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing. In AIR: A Light-Weight Yet High-Performance Dataflow Engine based on Asynchronous Iterative Routing (pp. 51-58). IEEE. Peer reviewed |
Tawakuli, A., Kaiser, D., & Engel, T. (08 October 2019). Big Automotive Data Preprocessing: A Three Stages Approach [Poster presentation]. ACM Computer Science in Cars Symposium. |