Reinforcement Learning, Decision-Making, Multi-task Reinforcement Learning, Continual/ Lifelong Reinforcement Learning, Deep Reinforcement Learning
TU Darmstadt, FG IAS,
Hochschulstr. 10, 64289 Darmstadt
Office. Room E327, Building S2|02
Ahmed Hendawy joined the Intelligent Autonomous Systems Group at TU Darmstadt as a Ph.D. Student in April 2022. He is working on Multi-Task and Meta Reinforcement Learning, supervised by Dr. Carlo D'Eramo (as part of the LiteRL research group).
Ahmed Hendawy has a master's degree in Information Technology from the University of Stuttgart, with a specialization in Computer Engineering. In 2019, Ahmed graduated from the German University in Cairo (GUC) with a bachelor's degree in Mechatronics Engineering.
Guirguis, K.;Abdelsamad, M.; Eskandar, G.; Hendawy, A.; Kayser, M.; Yang, B.; Beyerer, J. (2023). Towards Discriminative and Transferable One-Stage Few-Shot Object Detectors, Winter Conference on Applications of Computer Vision (WACV) 2023.
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Guirguis, K.;Hendawy, A.;Eskandar, G.;Abdelsamad, M.;Kayser, M.;Beyerer, J. (2022). CFA: Constraint-based Finetuning Approach for Generalized Few-Shot Object Detection, Workshop on Learning with Limited Labelled Data for Image and Video Understanding (L3D-IVU). Download Article [PDF] BibTeX Reference [BibTex]