Part 1: Cognitive Radio Networks 1. Cognitive Radio with Spectrum Sensing for Future Networks 2. Cognitive Radio and Spectrum Sensing 3. Machine Learning Techniques for Wideband Spectrum Sensing in Cognitive Radios Networks 4. Resource Management Techniques in Licensed Shared Access Networks Part 2: 5G Technologies and Software Defined Networks 5. Software-Defined Networks Security: Breaks and Obstacles 6. Fog Computing Mechanisms in 5G Mobile Networks 7. Lightweight Cryptography in 5G Machine-type Communication 8. Index Modulation: A Promising Technique for 5G and Beyond Wireless Networks 9. Seamless and Secure Communication for 5G subscriber in 5G-WLAN Heterogeneous Networks 10. Simulators, Test Beds and Prototypes of 5G mobile Networking Architectures Part 3: Efficient solutions for Future Heterogenous Networks 11. A Fuzzy Logic-based QoS Evaluation Method for Heterogeneous Networks 12. Network Virtualization for Next-Generation Computing and Communication Infrastructures: Scalable Mapping Algorithm and Self-healing solution 13. Maximizing the Lifetime of Wireless Sensor Networks by Optimal Network Design 14. Bandwidth Allocation Scheme with QoS Provisioning for Heterogeneous Optical and Wireless Network 15. Energy Conservation Techniques for Passive Optical Networks 16. Energy-efficient Communications in Wireless Body Sensor Networks 17. Efficient Modulation Schemes for Visible Light Communication Systems Part 4: Big Data and the Internet of Things 18. Big Data Computing Using Cloud-Based Technologies: Challenges and Future Perspectives 19. A Data Aware Scheme for Scheduling Big-Data Applications with SAVANNA Hadoop 20. A Multi-Dimensional Sensitivity-based Anonymization Method for Big Data 21. A Quick Perspective on the Current State of IoT Security: A Survey 22. A Semi-Distributed Metaheuristic Algorithm for Collaborative Beamforming in the Internet of Things.
Dr. Mahmoud Elkhodr completed his Ph.D. degree in Information and
Communication technologies at Western Sydney University (Western),
Australia. Mahmoud has been awarded the International Postgraduate
Research Scholarship (IPRS) and Australian Postgraduate Award (APA)
in 2012-2015. He has been awarded the High Achieving Graduate Award
twice in 2010 and 2012. Mahmoud has authored several journal
articles and book chapters and presented at prestigious conference
venues. He is currently editing two books on Future Networks and 5G
technologies to be published in 2017. His research interests
include: Internet of Things, e-health, Human Computer-
Interactions, Security and Privacy.
Dr. Qusay F. Hassan is an independent researcher and a technology
evangelist with 15 years of professional experience in ICT. He is
currently a systems analyst at the United States Agency for
International Development in Cairo, Egypt, where he deals with
large-scale and complex systems. Dr. Hassan has received his BS,
MS, and Ph.D. from Mansoura University, Egypt in computer science
and information systems in 2003, 2008, and 2015, respectively. His
research interests are varied which include IoT, SOA, high-
performance computing, cloud computing and grid computing. Dr.
Hassan has authored and co-authored a number of journal and
conference papers as well as book chapters. He also published a
book lately: Applications in Next-Generation High Performance
Computing (published in 2016 by IGI Global), and he is currently
editing two new books on the Internet of Things to be published in
2017. Dr. Hassan is an IEEE senior member, and a member of the
editorial board of a number of associations
Dr. Seyed Shahrestani completed his PhD degree in Electrical and
Information Engineering at the University of Sydney. He joined
Western Sydney University (Western) in 1999, where he is currently
a Senior Lecturer. He is also the head of the Networking, Security
and Cloud Research (NSCR) group at Western. His main teaching and
research interests include networking, management and security of
networked systems, artificial intelligence applications, health
ICT, IoT and smart environments. He is also highly active in higher
degree research training supervision, with successful results.
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