HBAI

Joint Workshop on Human Brain and Artificial Intelligence

HELD IN CONJUNCTION WITH IJCAI 2019

August 12, 2019, Macao, China.


CALL FOR PAPERS

CALL FOR PAPERS

  • The joint workshop on human brain and artificial intelligence (HBAI2019) will be held in conjunction with IJCAI 2019 in Macao, China (August 12, 2019).
  • AI holds a tremendous repertoire of algorithms and methods that constitute the core of different topics of computational brain science. The aim of human brain research is to achieve a comprehensive basic understanding in the field of human brain function that serves as a foundation for future translational research and the development of effective therapies for various neurological diseases. How can AI techniques contribute to human brain research, and in particular addressing the cognitive, physiological, biological, physical, ecological and social perspectives of brain research? And, how can human brain research raise new fundamental questions in AI? Contributions will clearly point out answers to one of these goals focusing on AI techniques and their applications as well as focusing on human brain problems.
  • AI approaches can revolutionize new age of brain informatics and computational brain science with discoveries in human brain-related health, diseases, social behavior, neuroscience, brain connectivity, brain intelligence paradigms, cognitive information, etc.
  • Human brain research provides opportunities for developing novel AI methods. Some of the grand challenges in human brain research include global mental health and neuroscience, brain wellness and aging, cognitive development, brain energetics in health and diseases, neuroimaging, models of disorders, as well as applications in neuroinformatics, brain computer/machine Interfaces, etc.
  • The HBAI workshop aims at bringing together researchers and practitioners active in both AI-driven computational brain science and brain-inspired AI, to present and discuss their research, share their knowledge and experiences, and discuss the current state of the art and the future improvements to advance the intelligent practice of computational brain and brain-inspired AI.
  • TOPICS

  • We welcome papers with important new insights and experiences on artificial intelligence from the modeling and simulation of human brain systems. Those contributions should shed light on one of the two questions mentioned above. Topics of interest lie at the intersection of AI and computational brain science. They include, but are not limited to, the following inter-linked topics:
    • Artificial Intelligence :
      • Deep learning and representation learning
      • Graph theory and graph mining
      • Constraints, satisfiability and search
      • Knowledge representation, reasoning and logic
      • Machine learning and data mining
      • Knowledge graph and applications
      • Agent-based and multi-agent systems
      • Web and knowledge-based information systems
      • Natural language processing
      • Image processing and analysis
      • Uncertainty
      • Brain-based Learning
      • Implicit Cognition and Learning
    • Human Brain Research:
      • Hot topics in human brain-related health/diseases/social behavior
      • Neuroscience
      • Brain development and aging
      • Brain Connectivity and network modeling
      • Brain intelligence paradigms
      • Neuroinformatics
      • Neuroimaging
      • Learning and memory
      • Genetic and circuit mechanisms
      • Cognition and behavior
      • Brain health data analysis and statistics
      • Perception (spatial, temporal) and imagery
      • Neuroimmunology
      • Sleep behavior
      • Deep brain stimulation

KEYNOTE TALKS

Pheng Ann Heng

    Dr. Pheng Ann Heng is a professor at the Department of Computer Science and Engineering at The Chinese University of Hong Kong (CUHK). He has served as the Director of Virtual Reality, Visualization and Imaging Research Center at CUHK since 1999. He has also served as the Department Chairman (2014-2017) and Head of Graduate Division (2005-1008 and 2011-2016). He is the author of over 450 peer-reviewed publications with total Google Citations count exceeds 11800. His group has received three best paper awards in medical image analysis in recent years, including MIA-MICCAI 2017 best paper award. He has served as the Director of Center for Human-Computer Interaction at Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences since 2006 and has been appointed by China Ministry of Education as a Cheung Kong Scholar Chair Professor in 2007. His research interests include AI and VR for medical applications, surgical simulation, visualization, graphics and human-computer interaction.

Talk: AI for Medical Image Analysis

CONTACT US

hbaiconf@gmail.com