Abdullah Salama

• Publish a novel algorithm for neural network compression in NeurIPS Workshop on Compact Deep Neural Networks with Industrial Applications. • The first to provide compressed ResNet models on GitHub. • Submit a paper to CVPR 2019 (under-review). • Implement state-of-the-art ML algorithms in the field of Efficient Deep Learning. • Exposure to and discuss several hot research topics. • Experience using several frameworks such as Pytorch, Tensorflow and others.

• Design project solutions that fulfill the business requirements and coordinate with other entities inside Orange. • Develop in-house Prepaid/Call and Control Tariffs & Promotions. • Manage all charging Projects related to tariff and promotions until the commercial launch • Technical project management including all technical platforms such as VAS and charging nodes. • Delegated team leader of the testing team during absence of the team leader.

• Responsible for testing and optimizing various antenna designs • Troubleshooting and error reports in the software. • Responsible for marketing for the software and pre-sales support.

• Responsible for preparing and testing lab equipment. • Teaching the subject. • Guide the student to how to test different circuit designs. • Simulate different circuit designs on Pspice circuit tool.

• Responsible for preparing and executing lab experiments. • Teaching the students how to use Matlab. • Teaching the subject, the theory behind and how to apply and test. • Evaluating students work such as assignments and quizzes.

Master Thesis (Sep 2018 -Feb 2019): Structured Global Pruning for Neural Networks Compression. Project Work (Oct 2017 -Mar 2018): Automatic Hyperparameters Optimization for Feature Extraction and Machine Learning Methods. Relevant modules: Pattern Recognition and Data Compression, Software Testing

Network Planning, Sensor Networks, Microwave Technology, Adaptive Antennas, Wireless Communication, Modulation and Coding Bachelor level modules: Signal processing, System and Control, Communication Networks, Photonics.