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Hossam Kasem

  • Hossam Kasem, Postdoctoral Researcher, Research Institute for Future Media Computing, Shenzhen University

  • Expertise: Compressed Sensing; Digital  Multimedia analysis ; Signal Processing applications in Wireless and Mobile Communications; Compressed sensing applications in image processing.

  • Contact Details:

Work and Research Experience

  • 2017- to date Postdoctoral Researcher, Research Institute for Future Media Computing, Shenzhen University

  • 2015-2017 Assistance Professor, faculty of Engineering, Tanta University, Egypt

  • 2012-2015 Ph.D Researcher, Egypt- Japan University of Science and Technology (E-JUST), Egypt

  • 2014-2015 Ph.D special  Researcher Student, Kyushu university, Japan

  • 2004-2012 Teaching assistance, faculty of Engineering, Tanta University, Egypt

Representative Publications

  • Amr H. Hussien, Hossam Kasem, Mohamed A. Ezzat,“Efficient spectrum sensing technique base on energy detector compressive sensing and de-noising techniques”, International Journal of Engineering and Technology, Vol. 46 (2017) No. 1 pp. 1-8.

  • Ibrahim Al-Nahhal, Ahmed Emran, Hossam Kasem, Adel B. Abd El-Rahman, Osamu Muta, Hiroshi Furukawa,“Flexible fractional K-best sphere decoding for uncoded MIMO channels”, IEICE Communications Express, Vol. 4 (2015) No. 1 pp. 20-25.

  • Hossam M. Kasem, Mohamed Al-Nahhal, Tawfik Ismail and Mohamed E. Nasr,“FSO-SIMO System with SIM-DPSK over Log-normal Atmospheric Turbulence and Misalignment”, 19th In- ternational Conference on Transparent Optical Networks (ICTON 2017).

  • Hossam M. Kasem, Osamu Muta, Maha Elsabrouty and Hiroshi Frukawa,“Performance of Perceptual 1-Bit Compressed Sensing for Audio signal Compression”, International Symposium on computer and communicationss,ISCC 2015.

  • Hossam M. Kasem, Osamu Muta, Maha Elsabrouty and Hiroshi Frukawa,“Quantized Percep- tual Compressed Sensing for Audio signal Compression”,  Data Compression Conference,DCC 2015.

  • Hossam M.Kasem, Maha El-Sabrouty,“The performance of One-bit Compressed Sensing with Perceptual Compressed Sensing for Audio Compression”, Third International Japan-Egypt Con- ference on Electronics, Communications and Computers,2015.

  • Adel B. Abd El-Rahman, Ibrahim Al-Nahhal, Ahmed Emran, Hossam Kasem,“Fractional K- best Sphere Decoding Algorithm Over Rayleigh Fading MIMO Channels”, Second International Japan-Egypt Conference on Electronics, Communications and Computers,2014.

  • Hossam M.Kasem,Maha El-Sabrouty,“A Comparative Study of Audio Compression Based on Compressed Sensing and Sparse Fast Fourier Transform (SFFT): Performance and Challenges”, International Symposium on Signal Processing and Information Technology IEEE ISSPIT 2013.

  • Hossam M Kasem, Mohamed E Nasr, Amr H Hussein, “A High Fidelity OFDM Image Com- munication System with Chaotic Maps”, International Proceedings of Computer Science Infor- mation Technology (ICIIP 2012).

  • Amr M Riad, Amr H Hussein, Hossam M Kasem, Atef Abou El-Azm, “A New Efficient Im- age Encryption Technique Based on Arnold and Idea Algorithms”, International Conference on Image and Infor- mation Processing (ICIIP 2012).

  • Hossam M Kasem, Mohamed E Nasr, Elsayed A Sallam, FE Abd El-Samie,“Efficient Trans- mission of 1D and 2D Chaotic Map Encrypted Images with Orthogonal Frequency Division Multiplexing”, Tenth International Symposium on Signal Processing and Information Technology (ISSPIT), 2010.

  • Hossam M. Kasem, Osamu Muta, Maha Elsabrouty and Hiroshi Frukawa,“The Effect of One- bit Compressed Sensing on Audio Compression for Digital Communication Systems”, RCS, IEICE Technical Report,2015 .

  • Hossam M. Kasem, Osamu Muta, Maha Elsabrouty and Hiroshi Frukawa,“Performance of 1-bit Compressed Sensing for Audio Compression under AWGN Channel,” RCS, IEICE Tech- nical Report,2015.

  • Hossam M. Kasem, Osamu Muta, Maha Elsabrouty and Hiroshi Frukawa,“Cyclostationary Detection for Spectrum Sensing using Feature-Based Compressive Sensing”, RCS, IEICE Tech- nical Report,2015.

Research Institute for Future Media Computing,Shenzhen University 2014 - 2022