Hossam Farag

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Background

Hossam Farag received his B.Sc. and M.Sc. degrees in Electrical Engineering from Aswan University, Egypt in 2012 and 2015, respectively. From 2012 to 2016, he was working as a teaching assistant at Aswan University. Currently, he is a PhD student at Mid Sweden University. During his Master studies, he has published 5 conference papers and 1 journal article. His research interest includes Wireless Communications, Industrial Wireless Sensor Networks, and Cognitive Radio systems.

Current research

Hossam's current research activity mainly focuses on reliable and deterministic wireless sensor networks communications. In particular, his research aims to develop techniques and methods to provide predictable and reliable wireless communication for time- and mission-critical applications in industrial wireless sensor networks.

Publications

Articles in journals

Farag, H. & Mohamed, E. M. (2017). Soft Decision Cooperative Spectrum Sensing with Noise Uncertainty Reduction. Pervasive and Mobile Computing, vol. 35, pp. 146-164.  

Conference papers

Farag, H. & Mohamed, E. M. (2016). Dynamic Threshold Hard Decision Cooperative Spectrum Sensing Using Two-Stage Censoring. In 23rd International Conference on Telecommunications, ICT 2016.. pp. 38--42.  

Farag, H. & Mohamed, E. M. (2015). Hard Decision Cooperative Spectrum Sensing Based on Estimating the Noise Uncertainty Factor. In Proceedings - 2015 10th International Conference on Computer Engineering and Systems, ICCES 2015.. pp. 217--222.  

Farag, H. & Mohamed, E. M. (2015). Soft Decision Cooperative Spectrum Sensing Based Upon Noise Uncertainty Estimation. In 2015 IEEE International Conference on Communication Workshop, ICCW 2015.. pp. 1623--1628.  

Farag, H. & Mohamed, E. (2014). An Efficient Dynamic Thresholds Energy Detection Technique for Cognitive Radio Spectrum Sensing. In 10th International Computer Engineering Conference : Today Information Society What's Next?, ICENCO 2014.. pp. 1623--1628.  

Farag, H. & Mohamed, E. M. (2014). Improved Cognitive Radio Energy Detection Algorithm Based upon Noise Uncertainty Estimation. In National Radio Science Conference, NRSC, Proceedings.. pp. 107--115.