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Brain and Health Informatics 2013 (BHI'13)

CALL FOR PAPERS
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2013 International Conference on Brain and Health Informatics 2013 (BHI'13)

October 29-31, 2013, Maebashi, Japan

Homepage: http://wi-consortium.org/conferences/amtbi13/

Co-organized by Web Intelligence Consortium (WIC)
IEEE-CIS Task Force on Brain Informatics (IEEE TF-BI)
Co-sponsored by Maebashi Institute of Technology
Maebashi City and Gunma Prefecture Government
Springer Lecture Notes in Computer Science

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# Full Paper Submission Due: *** 15 April 2013 ***
# Accepted full 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).

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Topics of Interest
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CONFERENCE TOPICS AND AREAS INCLUDE, BUT NOT LIMITED TO

A. Brain Informatics (BI)

A.1 Thinking and perception-centric investigations of HIPS:

* 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 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 the management and use of brain 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. Health Informatics (HI)

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

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On-Line Submissions and Publication
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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:
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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:
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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/

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Awards
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BHI 2013 best paper awards and student paper awards will be conferred
on the authors at the conference.

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Important Dates
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Electronic submission of full papers
(12 pages in Springer LNAI/LNCS style file):
*** 15 April 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

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Conference Organization
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BHI-AMT'13 Honorary General Chair:
Setsuo Ohsuga, University of Tokyo, Japan

BHI'13 Conference General Chairs:
Tomoaki Shirao, Gunma University Graduate School of Medicine, Japan
Takuji Kasamatsu, The Smith Kettlewell Eye Research Institute, USA

BHI'13 Program Chairs:
Kazuyuki Imamura, Maebashi Institute of Technology, Japan
Shiro Usui, Toyohashi University of Technology, Japan

BHI'13 Workshop/Special Session Chair:
Lars Schwabe, University of Rostock, Germany


BHI-AMT'13 Organizing Chairs:
Kazuyuki Imamura, Maebashi Institute of Technology, Japan
Tetsumi Harakawa, Maebashi Institute of Technology, Japan
Ning Zhong, Maebashi Institute of Technology, Japan

BHI-AMT'13 Panel Chair:
Stephen S. Yau, Arizona State University, USA

BHI-AMT'13 Journal Special Issue Chairs:
Xin Yao, University of Birmingham, UK
Runhe Huang, Hosei University, Japan

BHI-AMT'13 Publicity Chairs:
Shinichi Motomura, Maebashi Institute of Technology, Japan
Dominik Slezak, Infobright Inc., Canada & Univ. of Warsaw, Poland
Jian Yang, Beijing University of Technology, China


AMT'13 Conference General Chairs:
Andrzej Skowron, Warsaw University, Poland
Jian-Nong Cao, Hong Kong Polytechnic University, SAR China

AMT'13 Program Chairs:
Tetsuya Yoshida, Hokkaido University, Japan
Gang Kou, University of Electronic Science and Technology of China, China

AMT'13 Workshop/Special Session Chair:
Hakim Hacid, Alcatel-Lucent Bell lab, France


IEEE-CIS-TFBI Chair
Ning Zhong, Maebashi Institute of Technology, Japan

WIC Co-Chairs/Directors
Ning Zhong, Maebashi Institute of Technology, Japan
Jiming Liu, Hong Kong Baptist University, HK

WIC Advisory Board
Edward A. Feigenbaum, Stanford University, USA
Setsuo Ohsuga, University of Tokyo, Japan
Benjamin Wah, Chinese University of Hong Kong, HK
Philip Yu, University of Illinois, Chicago, USA
L.A. Zadeh, University of California, Berkeley, USA

WIC Technical Committee
Jeffrey Bradshaw, UWF/Institute for Human and Machine Cognition, USA
Nick Cercone, York University, Canada
Dieter Fensel, University of Innsbruck, Austria
Georg Gottlob, Oxford University, UK
Lakhmi Jain, University of South Australia, Australia
Jianhua Ma, Hosei University, Japan
Jianchang Mao, Yahoo! Inc., USA
Pierre Morizet, Mahoudeaux Compiegne University of Technology, France
Hiroshi Motoda, Osaka University, Japan
Toyoaki Nishida, Kyoto University, Japan
Andrzej Skowron, Warsaw University, Poland
Jinglong Wu, Okayama University, Japan
Xindong Wu, University of Vermont, USA
Yiyu Yao, University of Regina, Canada

*** Contact Information ***
Kazuyuki Imamura (Maebashi Institute of Technology, Japan)
(imamurak@maebashi-it.ac.jp)