CCR 2020: The 1st IEEE International Workshop on Emerging Topics in Cognitive Computing and Robotics
Call for Papers
Goal of the workshop:
Compared with traditional datasets, big data brings about new opportunities for discovering new values, helps us to gain an in-depth understanding of the hidden values, and also incurs new challenges. This workshop is concerned about the challenges in effectively storage, processing, and analytics of the explosive data for developing cognitive robotics.
In the past decade, the computer and information industry has experienced rapid changes in both platform scale and scope of applications. Computers, smart phones, clouds, social networks, and supercomputers demand not only high performance but also a high degree of machine intelligence.
To face these new computing and communication changes, we must upgrade the clouds and the computing ecosystem with new capabilities, such as machine learning, IoT sensing, data analytics, and cognitive machines mimicking human intelligence. The main topics of CCR 2020 include big data, robotics, cloud computing, cognitive computing, cloud security, data analytics, mobile big data, cognitive learning, machine learning, etc.
Scope of the workshop:
Researchers and practitioners all over the world, from both academia and industry, working in the areas of big data and cognitive robot are invited to discuss state of the art theoretical research, technology development, and practical implications. Topics of interest include, but are not limited to, the following:
- Innovative architecture, infrastructure, techniques and testbeds for big data and cognitive robotics
- Cognitive computing, affective computing, machine learning and other novel tools, services, technologies, algorithms and methods for robotics
- Individual and social behavior analysis, contextual data management and mining for big data
- Multi-modal information fusion in cognitive robotics
- Intelligent and interactive interface for cognitive services and applications
- Machine intelligence assisted by big data and cognitive computing
- Privacy protected discovery and adaptation
- Standardization and implementation challenges
Likely participants: Researchers in the new interdisciplinary field which combines big data and cognitive computing are called to participate and exchange ideas and techniques.
Huimin Lu, Kyushu Institute of Technology, Japan
Yuhong Liu, Santa Clara University, USA
Program Committee (to be confirmed)
Yin Zhang, Zhongnan University of Economics and Law, China
Giancarlo Fortino, Università della Calabria, Italy
Haider Abbas, National University of Science and Technology, Pakistan
Jeungeun Song, The University of British Columbia, Canada
Iztok Humar, University of Ljubljana, Slovenia
Shamim Hossain, King Saud University
Limei Peng, Kyungpook National University, South Korea
Yujie Li, Fukuoka University, Japan
Shenglin Mu, Ehime University, Japan
Shota Nakashima, Yamaguchi University, Japan