Aims



Big Data and Cognitive Computing (ISSN 2504-2289) is an international, interdisciplinary scholarly scientific, and open access journal on big data and cognitive computing for computer science.



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.



As a matter of fact, we are entering an era of big data and cognitive computing. In the big data era, successful cloud systems, web services and supercomputer centers must be designed to discover, store, process, learn, analyze, and predict from a massive amount of data.



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.



This journal blends together big-data theories with emerging technologies on smart clouds and exploring supercomputers with new applications.



Scope



Big Data, Clouds, and Internet of Things (IoT)




  • Big Data Processing and Analytics

  • Big Data Integrity and Privacy

  • Big Data Models, Algorithms, and Architectures

  • Big Data Infrastructure and Systems

  • Big Data Applications in Science, Internet, Finance, Telecommunications, Business, Medicine, Healthcare, Government, Transportation, Industry, Manufacturing, etc.

  • Cloud Computing Techniques

  • Cloud Services and Applications

  • Data Storage and Management

  • Data Search and Mining

  • IoT Technologies and IoT Architecture

  • IoT Sensing and Mobile Systems

  • IoT Applications



 Cognitive Computing




  • Artificial Intelligence Algorithm and Cognitive Theory

  • Affect/Emotion/Personality/Mind Computing

  • 6G Semantic Communication

  • Emotion Cognition

  • Cognitive Modeling

  • Cognitive Informatics

  • Cognitive Sensor Networks

  • Cognitive Robots

  • Cross-Media Analysis and Reasoning

  • Neuromorphic Computing and Cognitive Algorithm

  • Deep Learning

  • Digital Twin Technologies

  • Cognitive Brain Health

  • Human–Machine/Robot Interaction

  • Machine Learning and its Applications in Medicine, Biology, Industry, Manufacturing, Security, Education, etc.

  • Application of Cognitive Computing in Health Monitoring, Intelligent Control Systems, Bioinformatics, Smart Manufacturing, Smart Grids, Image/Video and Signal Processing, etc.

  • Natural Language Processing and Semantic Cognition

  • Robots and Control Systems



Please feel free to contact Elliot at elliot.liu@mdpi.com, in case you are interested in the journal. 



We look forward to your contributions.