Eng.Ghefar Alrefai
- PHD in CE 2019- Present:Faculty of Electrical and Electronic Engineering, the University of Aleppo – Syria, Communications Engineering Dept.
- Master of CE 2011 - 2017 : Faculty of Electrical and Electronic Engineering, the University of Aleppo – Syria, Communications Engineering Dept, average mark (87.97%), rating “Excellent“.
- Bachelor of CE 2005 – 2010 : Faculty of Electrical and Electronic Engineering, the University of Aleppo – Syria, Department of Communications Engineering, average mark (78.86%), rating „Very Good“, obtained the Second class out of 72 graduated students.
- Scientific Baccalaureate 2002 – 2005 : The General Secondary Education Certificate, Scientific Branch, Aleppo, Syria, average mark (93.75%), rating "Excellent".
Contact
- ghefar.refai@ebla.edu.sy
Experiences:
- Oct 2019- Present: Engineer- Faculty member at EBLA Private University , Scientific auditor at Hassoub Academy of Science and Technology.
- Jul 2019-Oct 2019: Website coordinator at Aleppo University Website Office as Scientific research data entry.
- 2011 – 2019 : Supervisor of automation program of examinations in the Faculty of Electrical & Electronics Engineering and Lecturer in the Satellite and Mobile Communication lab (including FM wireless system, GSM system and CDMA System) in the Department of Communications, Aleppo University, Syria.
- Feb 2018-Jun 2019 : Lecturer at EBLA Private University.
- Sep 2018-Jun 2019 : Lecturer at Aleppo University, faculty of Technical Engineering.
- Nov 2018 : Trainer about the style of scientific writing at the Syrian Trust for Development-Shabab program.
- Jan 2018 : Trainer at the Syndicate of Engineers with Daraty project in cooperation with SCS-net.
- 2015 : Lecturer for Shahbaa Private University students in the Satellite and Mobile Communication lab, Faculty of Electrical & Electronics Engineering, Aleppo University.
- Summer of 2014 : Lecturer for Ittihad Private University students in the Satellite and Mobile Communication lab, Faculty of Electrical & Electronics Engineering, Aleppo University.
- Summer of 2013 : Lecturer for EBLA Private University students in the Satellite and Mobile Communication lab, Faculty of Electrical & Electronics Engineering, Aleppo University.
- 2010 – 2011 : Studies Engineer at Syria Group, Company of Computing and Instructions, Aleppo, Syria.
- 2008 - 2009 : Daily Translator at AkafiSMS website, Aleppo, Syria.
Researches:
Enhancing Chopping and Setting Content Algorithm to Improve QoS of Mobile IPTV in LTE Network.
IPTV (Internet Protocol Television) especially VoD (Video on Demand) will become winner technology in the near future .It was targeted to fixed terminals and developed for mobility support. So it’s very interesting topics how to deliver IPTV VOD service to a mobile subscriber by providing high QoS(Quality of Service) in 4G networks especially LTE(Long Term Evolution).The most important QoS parameters are bit error rate (BER) and delay time which make IPTV VoD service unsatisfied and not acceptable if they're under the limit. In this research, we have worked on enhancing chopping television content and setting in physical channels in LTE networks. Performance have been evaluated by simulating the system using MATLAB; where the results showed an improvement in performance of the proposed alogorithm; this improvement in performance have evaluated in terms of BER and Delay time - Aleppo University Research Journal
Read More >>Applying a Hyprid (Static-Dynamic) Content Chopping and Setting Algorithm to Improve QoS of Mobile-IPTV in LTE Network.
The Demand of IPTV (Internet Protocol Television) services is growing significantly in the mobile communications industry. To support a large number of users with limited radio sources, the effective transmission technology for television content has to be developed. In this research, we suggest integration of static and dynamic segmenting algorithms for television content to improve QoS (Quality of Service) of VoD (Video on Demand) service over the IPTV wireless network in the LTE (Long Term Evolution) system. Performance have been evaluated by simulating the system using MATLAB, where the results have shown an improvement in performance of the proposed alogorithm; this improvement in performance have been evaluated in terms of BER and Delay time. - Aleppo University Research Journal
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