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Screenshot 2018-09-18_22-21-20.png Email: amal.saadallah cs.tu-dortmund.de
Phone: 0231/755-6490
Fax: 0231/755-5105
Room-No.: OH12 R4.023

About

I work as a research assistant in the artificial intelligence group of the TU Dortmund, within B3 project (Data Mining on Sensor Data of Automated Processes)-Collaborative Research Center SFB 876 (Providing Information by Resource-Constrained Data Analysis). My main research work is about ensemble methods, time series analysis and the combination of machine learning methods and process simulation systems.

Talks and Presentations

  • Generative Adversarial Networks and Active Learning
  • Stability prediction in milling processes using a simulation-based Machine Learning approach
  • Data Mining Using Sensors Data of Automated Processes- Tunnel Project

Projects

Research Topics

Publications

Saadallah/Moreira/2019a Saadallah, A., Moreira-Matias, L., Sousa, R., Khiari, J., Jenelius, E., Gama, J.. BRIGHT - Drift-Aware Demand Predictions for Taxi Networks (Extended Abstract). In 35th IEEE International Conference on Data Engineering (ICDE 2019), 2019.
Saadallah/Piatkowski/2019a Amal Saadallah, Nico Piatkowski, Felix Finkeldey, Petra Wiederkehr and Katharina Morik. Learning Ensembles in the Presence of Imbalanced Classes. In ICPRAM: 8th international conference on pattern recognition applications and methods - icpram 2019, 2019.
Grau/Moreira/2018a Josep Maria Salanova Grau, Luis Moreira-Matias, Amal Saadallah, Panagiotis Tzenos, Georgia Aifadopoulou, Emmanouil Chaniotakis, Miquel Estrada. Informed Versus Noninformed Taxi Drivers: Agent-Based Simulation Framework for Assessing Their Performance. pages 16, Transportation Research Board 97th Annual Meeting, 2018.
Saadallah/2018a Luis Moreira Matias, Amal Saadallah, Jihed Khiari. Method to control vehicle fleets to deliver on-demand transportation services.. In United States patent application US 15/281,142, 2018.
Saadallah/etal/2018a Saadallah, Amal and Finkeldey, Felix and Morik, Katharina and Wiederkehr, Petra. Stability prediction in milling processes using a simulation-based machine learning approach. In 51st CIRP conference on Manufacturing Systems, Elsevier, 2018.
Saadallah/Moreira/2018a Saadallah, A., Moreira-Matias, L., Sousa, R., Khiari, J., Jenelius, E., Gama, J.. BRIGHT - Drift-Aware Demand Predictions for Taxi Networks. IEEE Transactions on Knowledge and Data Engineering, 2018.