Hossam Farag received his B.Sc. and M.Sc. degrees in Electrical Engineering from Aswan University, Egypt in 2012 and 2015, respectively and Licentiate degree in Computer and System Sciences from Mid Sweden University in 2019. From 2012 to 2016, he was working as a teaching assistant at Aswan University. Currently, he is a PhD student at Mid Sweden University. His research interest includes, Industrial Wireless Sensor Networks, IIoT and Cognitive Radio Systems.
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.
Articles in journals
Farag, H. , Sisinni, E. , Gidlund, M. & Österberg, P. (2019). Priority-Aware Wireless Fieldbus Protocol for Mixed-Criticality Industrial Wireless Sensor Networks. IEEE Sensors Journal, vol. 19: 7, pp. 2767-2780.
Farag, H. , Gidlund, M. & Österberg, P. (2018). A Delay-Bounded MAC Protocol for Mission- and Time-Critical Applications in Industrial Wireless Sensor Networks. IEEE Sensors Journal, vol. 18: 6, pp. 2607-2616.
Farag, H. & Mohamed, E. M. (2017). Soft Decision Cooperative Spectrum Sensing with Noise Uncertainty Reduction. Pervasive and Mobile Computing, vol. 35, pp. 146-164.
Farag, H. , Gidlund, M. & Österberg, P. (2019). DeP-D : A Decentralized Primal-Dual Optimization Algorithm for Industrial Wireless Sensor Networks. In 2019 15th IEEE International Workshop on Factory Communication Systems (WFCS).
Farag, H. , Mahmood, A. , Gidlund, M. & Österberg, P. (2018). PR-CCA MAC : A Prioritized Random CCA MAC Protocol for Mission-Critical IoT Applications. In 2018 IEEE International Conference on Communications (ICC).
Guntupalli, L. , Farag, H. , Mahmood, A. & Gidlund, M. (2018). Priority-Oriented Packet Transmissions in Internet of Things : Modeling and Delay Analysis. In 2018 IEEE International Conference on Communications (ICC).
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.
Licentiate theses, comprehensive summaries
Farag, H. (2019). Enabling Time- and Mission-Critical Applications in Industrial Wireless Sensor Networks. Lic. (Comprehensive summary) Sundsvall, Sweden : Mid Sweden University, 2019 (Mid Sweden University licentiate thesis : 151)