DM

M.Sc. Dina Moussa

Short Bio

Dina Moussa obtained her B.Sc. and M.Sc. degrees in Computer Engineering from the Arab Academy for Science and Technology and Maritime (Cairo Campus) in 2011 and 2019. Right after her graduation, she started working as a graduate teaching assistant in the Basic Science department. After fulfilling her master's degree, she began working as an Assistant Lecturer at the Computer Engineering department. In September, 2021 she joined the CDNC group of Professor Tahoori at KIT University, Karlsruhe, Germany. Her current research interest lies at the algorithmic level in the areas of machine learning, deep learning, and hardware testing. I focus on developing methods for abstracted hardware fault modeling and test generation, as well as exploring optimization algorithms to enhance the reliability and performance of neural networks.

Publications

Journals
DA Moussa, M Hefenbrock, M Tahoori
Compressed Test Pattern Generation for Deep Neural Networks
in IEEE Transactions on Computers, 2024.
DA Moussa, M Hefenbrock, M Tahoori
Testing for Multiple Faults in Deep Neural Networks
in IEEE Design & Test, 2024.
Conferences
DA Moussa, M Hefenbrock, M Tahoori
Compact Test Pattern Generation For Multiple Faults In Deep Neural Networks
in Design, Automation & Test in Europe Conference & Exhibition (DATE), 2024.
D Moussa, M Hefenbrock, C Münch, M Tahoori
Automatic test pattern generation and compaction for deep neural networks
in Proceedings of the 28th Asia and South Pacific Design Automation Conference (ASPDAC), 2024.
Former Publications
Dina A. Moussa, Noureldin S. Eissa, Hassan Abounaser, Amr Badr
Design of Novel Metaheuristic Techniques for Clustering
IEEE Access, 2018.