The Internet of Things is a paradigm that assumes a pervasive presence in the environment of many smart things, including sensors, actuators, embedded systems and other similar devices. The development of IoT, however, has reached a crossroads, which means that without intelligence, an IoT system will act as an ordinary information transfer system.  Emerging IoT applications in various fields, including smart city, smart home, smart grid, e-health, intelligent transportation systems, etc., require trustworthy networking solutions that are resilient against high mobility, high density, disasters, infrastructure failures, cyberattacks, and other disruptions. This interdisciplinary landscape of IoT applications demands researchers from different areas such as machine learning, computational intelligence, optimization, distributed computing, embedded systems, and big data to synergize their efforts in better understanding the untapped opportunities to produce highly efficient, deployable, intelligent IoT systems.

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