In recent years, computing for smart environments viz., smart transportation, smart homes, smart cities is becoming major area of research. Smart environment interacts with human beings and makes their life easier and simpler. The basic human centric systems include assistive devices and application viz. robotics, human prosthetics, bio-inspired systems, cloud computing, deep learning based systems, and big data etc. The development of cost-effective, secure and sustainable human centric systems requires innovative approaches for system designing and control. AI techniques have potential to become supporting technologies for the future challenges of human centric systems. With improved computing ability, the systems will have distributed intelligence and automation for the smart systems of future.

The International Workshop on Artificial Intelligence and Deep Learning methods for Human Centric Systems will be held with 10^th International Congress on Ultra Modern Telecommunications and Control Systems, Moscow, Russia. The workshop mainly focuses on techniques and applications for human centric systems.

The workshop aims to consolidate ongoing research in this emerging area and bring together academics and industrial practitioners to exchange and discuss latest innovations and applications of artificial intelligence (AI), data analytics, and deep learning in the domain of Human Centric Systems for the benefit of the society and industry.

The workshop will be held with 10th International Congress on Ultra Modern Telecommunications and Control Systems ICUMT 2018.

PAPER SUBMISSION

Prospective authors are invited to submit full-length original and previously unpublished papers via the EDAS. Submitted papers will be peer-reviewed by at last two members of the Technical Programme Committee.