Yair R.

Advanced knowledge in the following areas: 1. Smart devices, including Android Raspberry Pi with Python, play the core role of user interaction and integrate with the embedded sensors or wearable accessories based on Arduino for environment detection. 2. Cloud/Fog clusters based on Hadoop provide highly-efficient computing power and storage for huge data, such as HDFS and SQL/NoSQL databases. Then, intelligent algorithms can be used to data analysis and decision support. 3. Heterogeneous mobile access technologies : - Data collection from sensors by means of a wireless sensor network (WSN), - information exchange between backhaul and end terminals using peer to peer (P2P) and content delivery network (CDN), or - interconnection inside the cloud cluster, e.g., software defined network (SDN) and then achieve autonomous machine-to-machine (M2M) communication. 4. Network applications and services are developed and optimized through Network Coding (RLNC, Fulcrum Code and Sparse network Coding). In addition to traditional web-based and multimedia streaming services, location-based service (LBS) exploiting user geographical location and healthcare service according user behavior or vital signs are also considered as the next-generation killer applications of IoT. 5. Code theory and programming of cryptographic algorithms with python and mobile devices: Arduino, Raspberry PI. Etc [login to view URL] and development of IoT Networks: LoRa, Sig-fox, NB-IoT