1. Fundamentals and architecture of edge computing platform: 5G IoT/IoMT 2. Physical layer architecture of 5G enabled IoT/IoMT system 3. HetNet/M2M/D2D communication in 5G technologies 4. Sensor Networks: Data and Traffic Models in 5G Network 5. Convergent Network Architecture of 5G and MEC 6. Privacy and Security aspect of MEC enabled 5G- IoT network 7. Healthcare data encryption, data processing for the data acquired from smart sensors and smart city healthcare approaches 8. Artificial Neural Networks/ Deep Learning approaches for the disease diagnosis and treatment 9. Advanced pattern recognition tools/ computer vision algorithm for the disease diagnosis 10. Cognitive computing for the data cognition for the information relevant to the user's disease and resource management 11. Computational Intelligence in Human-machine interface (HMI) for telemedicine application 12. Case Study: challenges and implications of smart healthcare applications and solutions to address these challenges