Download BHI 2013 Call for Papers (PDF Format, 340 KB)

Call for Papers

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# Full Paper Submission Due: *** May 13, 2013 *** (Extended)
# Accepted papers will be published by Springer as a volume of
# the series of LNCS/LNAI.
# Extensions of selected papers from the proceedings will be
# considered for publication in special issues of journals
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Special BHI-AMT 2013 Joint Keynote:
Yuichiro Anzai, President, Japan Society for the Promotion of Science

Keynote Speakers:
Shinsuke Shimojo, California Institute of Technology, USA
Marcel A. Just, Carnegie Mellon University, USA (pending)
Jiming Liu, Hong Kong Baptist University, HK SAR
Yuzuru Tanaka, Hokkaido University, Japan
Carl K. Chang, Iowa State University, USA
Andrzej Skowron, Warsaw University, Poland

Brain and Health Informatics (BHI) aims to develop and disseminate understandings of novel intelligent computing formalisms, techniques, and technologies in the special application contexts of brain and health/well-being related studies and services. It is devoted to interdisciplinary studies on BHI, covering computational, logical, cognitive, neuro-physiological, biological, physical, ecological, and social perspectives of BHI.

BHI’13 aims to provide a leading international, interdisciplinary forum to bring together researchers and practitioners that explore the interplay between studies of human brain and health/well-being related issues and advents of computer science and information technologies. For instance, emerging advanced information technologies, such as Internet/Web of things (IOT/WOT), the wisdom Web of things (W2T), cloud computing, may be applied to brain studies. Informatics-enabled brain studies, e.g., based on functional magnetic resonance imaging (fMRI), electroencephalogram (EEG), positron emission tomography (PET), and eye-tracking, can significantly broaden the spectrum of theories and models of brain sciences, which will in turn offer new insights into the development of intelligent computing systems and informatics. BHI will feature high-quality, original research papers in all theoretical, technological, clinical, and interdisciplinary studies that make up the field of brain/health informatics.

The systematic BHI methodology has resulted in the BHI big data, including various raw brain data, data-related information, extracted data features, found domain knowledge related to human intelligence, and so forth. A brain data centre needs to be constructed on the W2T and cloud computing platform for effectively utilizing the “data wealth” as services, which provides big opportunities for both fundamental and clinical researches with respect to cognitive science, neuroscience, and mental health. The most challenging problem is to curate BHI big data, which can be characterized by four parameters: volume, variety, velocity, and value, in order to support data sharing and reuse among different BHI experimental and computational studies for generating and testing hypotheses about human and computational intelligence.

BHI’13 will be jointly held with the International Conference on Active Media Technology (AMT'13).

The topics and areas include, but not limited to:

- A.1 Thinking and perception-centric investigations of human information processing systems
• Adaptation and self-organization
• Brain dynamics and functional/resting/structural brain networks
• Cognitive architectures; their relations to fMRI/EEG/MEG
• Emotion, heuristic search, information granularity, and autonomy related issues in human reasoning and problem solving
• HIPS meets complex systems
• Human higher cognitive functions and their relationships
• Human learning mechanisms (e.g., stability, personalized user/student models) * Human learning mechanisms (e.g., stability, personalized user/student models) * Human learning mechanisms (e.g., stability, personalized user/student models)
• Human multi-perception mechanisms and visual, auditory, and tactile information processing
• Human reasoning mechanisms (e.g., principles of human deductive/inductive reasoning, common-sense reasoning, decision making, and problem solving)
• Investigating spatiotemporal characteristics and flow in HIPS and the related neural structures and neurobiological process
• Methodologies for systematic design of cognitive experiments
• Modeling brain information processing mechanisms (e.g., neuro-mechanism, mathematical, cognitive and computational models of HIPS)
• Neural Basis of Decision-Making
• Neural Foundations of Intelligent Behavior
- A.2 Information technologies for curating, mining, managing and using big brain/health data
• Cyber-individuals meets brain informatics
• Data brain modeling and formal conceptual models of human brain data
• Databasing the brain, curating big data and constructing brain data centers
• Developing brain data grids and brain research support portals
• Human brain data collection, pre-processing, management, and analysis
• Information technologies for simulating brain data
• Knowledge representation and discovery in neuroimaging
• Measuring scale threshold of BI big data
• Modeling brain information-processing mechanisms
• Modeling molecular imaging and multimodal neuroimaging
• Multi-aspect analysis in fMRI/EEG/MEG activations
• Multi-media brain data mining and reasoning
• Multimodal information fusion for brain image interpretation
• Simulating spatiotemporal characteristics and flow in HIPS
• Statistical analysis and pattern recognition in neuroimaging
- A.3 Applications
• Brain/Cognition inspired artificial systems
• Brain-Computer-Interface (BCI)
• Clinical diagnosis and pathology of human brain and mind-related diseases (e.g. mild cognitive impairment (MCI), Alzheimer disease (AD), depression, epilepsy, parkinson and cerebral palsy)
• Digit, data, and computational Brain
• e-Science, e-Health and e-Medicine
• Eye-tracking meets fMRI/EEG for human-computer interaction
• Neuroeconomics, neuromarketing, neurolinguistics, neurosemantics, and neuroinstrumentation
• New cognitive and computational models for intelligent systems Non-verbal communication

- B.1 Information technologies for healthcare delivery and management
• Consumer health and wellness informatics applications
• Health informatics education
• Healthcare delivery in developing countries
• Healthcare workflow management
• Information technologies for alternative medicine
• Information technologies for healthcare service delivery
• Information technologies for hospital management
• Information technologies for the management of patient safety and clinical outcomes
• Medical compliance automation for patients and institutions
• Organizational impacts of health information technologies
• Public health informatics
• Social networks, social media and e-learning for spreading health informatics awareness
• Social studies of health information technologies
• Technology informatics guiding educational reform
• Telecare and Telemedicine
• Virtual conferencing systems for healthcare
- B.2 Healthcare decision support
• Biomedical modeling and simulation
• Business intelligence and data warehousing for healthcare
• Cognitive and decision support systems
• Computational intelligence methodologies for healthcare
• Computational support for patient-centered and evidence-based care
• Computer support for surgical intervention
• Computer-aided diagnosis
• Disease diagnostic models
• Disease prognostic models
• Epidemiological modeling
• Health risk evaluation and modeling
• Healthcare knowledge abstraction, classification, and summarization
• Healthcare knowledge computerization, execution, inference, management, and representation
• Medical recommender systems
• Operations research methods for healthcare
• Optimization models for planning and recommending therapies
• Personalized predictive modeling for clinical management (e.g., cancer, trauma, diabetes mellitus, sleep disorders, substance abuse)
• Physiological modeling
- B.3 Data analytics, data mining, and machine learning
• Analytics for clinical care
• Biomarker discovery and biomedical model development
• Biomedical data mining
• Biomedical pattern recognition
• Cleaning, pre-processing, and ensuring quality and integrity of medical data
• Data analytics for healthcare quality assurance
• Healthcare workflow mining
• Large-scale longitudinal mining of medical records
• Medical insurance fraud detection
• Medical signal analysis and processing
• Natural language processing and text mining for biomedical literature, clinical notes, and health consumer texts
• Semantic Web, linked data, ontology, and healthcare
• Statistics and quality of medical data
• Survival analysis and health hazard evaluations
• Visual analytics for healthcare

Important Dates

Electronic submission of full papers: April 15, 2013 May 13, 2013
Notification of full paper acceptance: June 30, 2013
Camera-ready of accepted papers: July 21, 2013

Electronic submission of abstracts: 15 July 2013
Notification of abstract acceptance: July 30, 2013

Conference: October 29-31, 2013

On-Line Submissions and Publication

There are 2 types of Paper Submissions and Publication, which you can choose one of them:

• Type I of Submissions and Publication: Full Paper Submissions:
  
  High-quality papers in all BHI related areas are solicited. Papers exploring new directions will receive a careful and supportive review. All submitted papers will be reviewed on the basis of technical quality, relevance, significance, and clarity.
  
  All accpted papers will be published by Springer as a volume of the series of Lecture Notes in Computer Science/Lecture Notes in Artificial Intelligence (LNCS/LNAI). Extensions of selected papers from the proceedings will be considered for publication in special issues of international journals.
  
  Authors are strongly encouraged to use Springer LNCS/LNAI manuscript submission guidelines (available at http://www.springer.de/comp/lncs/authors.html) for their initial submissions (a maximum of 12 pages in Springer LNCS/LNAI style file). All papers must be submitted electronically in PDF format only, using the conference management tool.
  
  
• Type II of Submissions and Publication: Abstract Submissions:
  
  Accepted abstract submissions will be included in the conference program. Selected abstract submissions will be considered for publication in special issues of international journals after their abstracts are extended to a full-length paper and pass a peer review process.
  
  We will also have poster, demonstration, and late breaking result paper sessions.
  
  Detailed instructions and a paper submission form can be found from the BHI'13 Web page at http://wi-consortium.org/conferences/amtbi13/

Contact Information

Kazuyuki Imamura, imamurak(at)maebashi-it.ac.jp