MACHINE LEARNING GROUP

TECHNISCHE UNIVERSITÄT KAISERSLAUTERN

Muhammad Dorgham

PhD student

Bio

Muhammad Dorgham started his Ph.D. at the Machine Learning Group in 2020 under the supervision of Prof. Dr. Marius Kloft at TU Kaiserslautern, Germany. He got his B.Sc. in computer engineering at 2009 from Port Said University, Egypt. He worked as a software developer for around 5 years. He then started his Master's degree in computer science in University of Hamburg, Germany and finished it at 2019.

Research interests

Muhammad Dorgham is interested in basic research in machine learning and deep learning, specially learning on graphs, graph neural networks, anomaly detection and adversarial examples.

Appointments and scientific matters
dorgham@cs.uni-kl.de

Curriculum Vitae

Education

2019
Master degree in computer science, University of Hamburg, Germany
2009
Bachelor degree in computer engineering, Port Said University, Egypt

Professional Experience

since 2020
PhD candidate - Researcher, TU Kaiserslautern, Kaiserslautern, Germany
2017-2019
Studentische Hilfskraft, University of Hamburg, Germany
2016-2017
Studentische Hilfskraft, Fraunhofer CML, Hamburg, Germany
2013-2015
Team Lead software development, NTG Clarity, Cairo, Egypt
2010-2013
Software developer, IST Networks, Cairo, Egypt

Key publications

  • Kutuzov, A., Dorgham, M., Oliynyk, O., Biemann, C., Panchenko, A. ​ Making fast graph-based algorithms with graph metric embeddings. Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019.
  • Kutuzov, A., Dorgham, M., Oliynyk, O., Biemann, C., Panchenko, A. Learning Graph Embeddings from WordNet-based Similarity Measures. Proceedings of the Eighth Joint Conference on Lexical and Computational Semantics (*SEM 2019), 2019.