Dr. Nidal Zarifeh

(Summa Cum Laude)

Courses: - Matlab (Toolboxes: Basics, Communications, Signal Processing, Neural Networks, Fuzzy Logic, GUIDE..) - GSM &UMTS (RAN, CN, VAS,..) - DSP, Information theory, Coding.

- Collect NSS data from various interfaces, build and analyze core network statistics on a regular basis. - Perform NSS Core Network performance measurements and troubleshooting. - Suggest potential technical solutions and improvements in NSS CN. - Signaling network designing: SS7-SIGTRAN. - Prepare Work Orders. - Prepare/analyze Syriatel numbering plan usage.

- Study & prepare nominal cell plan according to radio unit objectives - Conduct/Review field surveys & Radio documents, Modification Documents and Site database - Research, implementation, and analysis of new/existing BSS features and their effect on network performance - Transfer technical knowledge of implemented features to radio optimization team - Utilization and post processing for radio tools, also provide courses and support for new tools - Study and implement new tech (UMTS WiMax)

Dissertation: "Full-Duplex Multi-Antenna Base-Stations with Reduced Complexity"

As research assistant

Thesis: Cooperative Networks Based UWB-IR with Antenna Selectivity RF, QoS, Digital Communications, Telecommunications Regulation and Policy, Internet Technologies, Hw/Sw system design, Antennas and PCS system, Project Management, Telecommunications Marketing, Business Intelligence

Thesis: “Automatic modulation recognition in communication systems using neural networks” Description: Digital modulation schemes classification using statistics and two decision methods (Logic Algorithm, Neural Network). Applied Project: Transcription of Audio Composition using comb filters.