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Call for Chapters: High Performance and Cloud Computing in Scientific Research and Education
06/15/2013
Proposed Book

Call for Chapters: High Performance and Cloud Computing in Scientific Research and Education

Editors

Dr. Marijana Despotovic-Zrakic (University of Belgrade, Serbia)

Dr. Veljko Milutinovic (University of Belgrade, Serbia)

Dr. Aleksandar Belic (University of Belgrade, Serbia)

Proposals Submission Deadline: June 15, 2013

Full Chapters Due: July 15, 2013

Submission Date: September 30, 2013

Nowadays, requirements for design and implementation of information systems that are used for educational and research purposes at universities become more complex. These information systems include a plethora of services, applications, resources, and interactions. The resulting conglomerate of services and solutions is getting increasingly difficult to deal with and further improve. In addition to that, new and extremely important concepts, such as mobility, pervasiveness, and services on demand, have further fuelled the need for changing and improving existing approaches. As a result, efforts to design a new computing architecture--the so called cloud computing--have been initiated over the last couple of years and are ongoing across the world. New paradigms such as high performance computing and cloud computing will provide reliable and cost effective IT infrastructure that enhance realization of research and educational processes at universities.

The main subject of the book is high performance computing and cloud computing applications in the area of scientific work and education. Supercomputers are used for compute-intensive tasks such as problems including quantum physics, weather forecasting, climate research, oil and gas exploration, molecular modeling (computing the structures and properties of chemical compounds, biological macromolecules, polymers, and crystals), and physical simulations (such as simulation of airplanes in wind tunnels, simulation of the detonation of nuclear weapons, and research in nuclear fusion). In the scope of this publication, the following areas of high computing application were discussed and presented through case studies and exercises: industry, research and academic community works, simulation, and hydroinformatics. Cloud computing is an emerging area that includes a set of disciplines, technologies, and business models used to deliver IT capabilities (software, platforms, hardware) as an on-demand, scalable, elastic service. This book presents the applications of cloud computing in scientific research, education, e-learning, ubiquitous learning, CRM and social computing.

Objective of the Book

The primary goal of the proposed publication is to provide a variety of research and survey articles in the field of modern computer technologies and their application in science and education. Findings and discussion provided within publication should foster the potentials and capabilities of research, the academic community, and also industry. The publication is oriented towards making an impact in practice. A loy research presented in the publication will leverage dissemination of knowledge and awareness of the potential benefits of cloud computing.

Target Audience

The publication research provides numerous examples, practical solutions, and applications of high performance computing and cloud computing that can improve capacity and capability as well as the quality of research, teaching, and learning processes. This publication can contribute to the seamless adoption of modern technologies in the areas of science, research, and business; it can also foster new IT infrastructures and services, enable efficient and cost-effective usage of software and hardware resources, and determine what is of significant importance for each business entity, particularly in developing countries. In addition, the presented works are expected to contribute to introducing cloud computing and high performance application and services in other areas (business, industry). Guidelines and case studies provided in the book can help developing cost effective solutions in business and industry. This manuscript is also beneficial to computer and system infrastructure designers, developers, business managers, entrepreneurs, and investors within the cloud computing related industry. The target audience of this book will be composed of professionals and researchers working in the field of information and communication technologies, and their applications in science and education. Researchers and scholars will gain insight on how modern technologies can be used as a support for scientific research. The book will also provide resources on how cloud technologies can be used to build effective infrastructure of educational institutions.

Recommended topics include, but are not limited to, the following:

1. High performance computing:

High performance computer architectures and technologies

Grid computing

Parallel and distributed algorithms

Scalable servers and systems

Energy efficient high-performance computing

Software support and advanced micro-architecture techniques

Operating systems for scalable high-performance computing

High performance computing in science

Emerging applications such as biotechnology and nanotechnology

2. Cloud computing concepts and architecture:

Cloud architecture

Virtualization

Transition from traditional high performance architecture to cloud architecture

IaaS, PaaS, SaaS

Middlewares for implementing clouds

Development and applications of cloud concepts

Autonomic cloud management

Security issues and risk management in cloud environments

3. Cloud computing in science:

Synergy between grid computing and cloud computing in science

Synergy between ubiquitous computing and cloud computing in science

Synergy between pervasive computing and cloud computing in science

Cloud computing in specific scientific domains

Cloud services as support to scientific research

GIS and cloud technologies

4. Cloud computing in education:

Cloud architecture for e-education

Allocation and resource management

Federation of university clouds

Digital identity management in the cloud

Cloud services as support to education

Knowledge management in the cloud

5. Applications and projects

Submission Procedure

Researchers and practitioners are invited to submit on or before June 15, 2013, a 2-3 page chapter proposal clearly explaining the mission and concerns of his or her proposed chapter. Authors of accepted proposals will be notified by June 30, 2013 about the status of their proposals and sent chapter guidelines. Full chapters are expected to be submitted by July 15, 2013. All submitted chapters will be reviewed on a double-blind review basis. Contributors may also be requested to serve as reviewers for this project. For additional information regarding the manuscript, please visit www.elab.rs/cc-book/.

Publisher

This book is scheduled to be published by IGI Global (formerly Idea Group Inc.), publisher of the “Information Science Reference” (formerly Idea Group Reference), “Medical Information Science Reference,” “Business Science Reference,” and “Engineering Science Reference” imprints. For additional information regarding the publisher, please visit www.igi-global.com. This book is anticipated to be released in 2013.

Important Dates

June 15, 2013: Proposal Submission Deadline

June 30, 2013: Notification of Acceptance

July 15, 2013: Full Chapter Submission

August 15, 2013: Review Results Returned

September 30, 2013: Final Chapter Submission

November 30, 2013: Final Deadline

Editorial Advisory Board Members:

Borko Furth, Florida Atlantic University, USA

Ivan Stojmenovic, University of Ottawa, Canada

Vladimir Brusic, Boston University, USA

Milorad Stanojevic, University of Belgrade, Serbia

Srdan Krco, Ericsson Ireland Research Centre, Ireland

Inquiries and submissions can be forwarded electronically (Word document):

Dr. Marijana Despotović-Zrakić
Faculty of Organizational Science
University of Belgrade, Jove Illića 154
Tel.: +381698893144

Academic, Computer Scientist, Scientist, Technologist
Call for Submissions for a Special Issue of Methods of Information in Medicine Journal: Managing Interoperability and compleXity in Health Systems
06/15/2013
Methods of Information in Medicine

Call for Submissions for a Special Issue of Methods of Information in Medicine Journal: Managing Interoperability and compleXity in Health Systems

We are inviting submissions for an issue of the Methods of Information in Medicine devoted to the latest advances in bio-medical and e-health knowledge and information management research. The recent large-scale deployment of Electronic Health Records (EHR) across medical institutions provides new opportunities of secondary use of EHR. Issues of data-mining in large heterogeneous clinical data-sets, information retrieval and extraction in multiple medical repositories, the management of complexity and the coherent update of knowledge in medicine, clinical standards interoperability in distributed health systems and the patient Electronic Health Record (EHR) are now becoming critical to implementing enterprise and nationwide health systems.

Topic of interest will include but not limited to:

1. Data Mining, Information Extraction, and Semantic Annotation of EHR Data;

2. Medical Knowledge Representation and Reasoning

3. Expert and Clinical Decision Support Systems Using Semantic Web Technologies

4. Interoperability in Distributed healthcare Systems

5.Clinical Information Standards (e.g. HL7) Clinical Terminologies, Classifications (e.g. ICD 10) and biomedical ontologies (e.g. SNOMED - CT)

6. Patient Cohort Identification

7. Personalized Medicine via high throughput data integration

Important Dates

June 1, 2013 Letter of Intent Due (optional)

June 15, 2013 Submission Deadline

Peer-review Process

All submitted papers will go through a rigorous peer-review process with at least three reviewers. All submissions should follow the guidelines for authors available at the Methods of Information in Medicine web site (http://www.schattauer.de/fileadmin/assets/zeitschriften/methods/Instruction_to_Authors.pdf). The journal's editorial policy is also outlined on that page and will be strictly followed by special issue reviewers.

Submission Process

Optional letters of intent should be sent to guest editors by June 1, 2013. This will assist in assessing the number of likely submissions and in planning for the review process when papers are submitted. Authors must submit their papers via

http://mc.manuscriptcentral.com/methods. Please select “Original Article for a Focus Theme” as manuscript type and mention MIXHS as the Focus Theme in the cover letter.

Page limit is 5 pages in print per article (i.e., about 22,000 characters including space bars, please deduct 1,500 characters including space bars for each figure or table)."

Guest Editors
Matt-Mouley Bouamrane (University of Glasgow, UK)

Cui Tao (Mayo Clinic, USA)

Computer Scientist, Informatician, Information Scientist, Physician Researcher, Technologist
Call for Papers for a Special Issue of the Journal of the American Medical Informatics Association: Big Data in Healthcare and Biomedical Research
05/31/2013
Journal of the American Medical Informatics Association

Call for Papers for a Special Issue of the Journal of the American Medical Informatics Association: Big Data in Healthcare and Biomedical Research

Questions Regarding the Issue

Please direct any questions regarding the special issue or submissions to Dr. Lucila Ohno-Machado (machado@ucsd.edu)

Motivation

The collection, annotation, organization, integration, analysis, interpretation, governance, and sharing of big, complex, and sensitive data from healthcare and biomedical research has recently become the emphasis of several government initiatives in the USA and abroad. While the informatics community has been dealing with many of these issues for several years, the dissemination of new approaches and solutions may be scattered in several different journals, conference proceedings, and web sites. The purpose of this special focus issue is to publish the most innovative approaches and solutions (through Research and Applications articles, Brief Communications, and Case Reports), and place them in context of the work that has been previously published (through Reviews and Perspectives). User-friendly Tutorials that help non-specialists better understand the methods commonly used in machine and statistical learning, as well as in large scale integrative approaches related to common data models, ontologies and standards are also welcome.

Topics of Interest

Possible topics include, but are not limited to:

- Scalable systems for data integration across sites

- Large scale standards-based representation and modeling of data and algorithms

- Information retrieval that combines the biomedical literature and patient data sources

- Collaborative filtering

- Adaptive learning

- Distributed multiparty computation and large scale distributed data annotation

- High performance computing and parallel processing

- Novel inferential statistics and machine learning algorithms

- Evaluation strategies

- Ethical, social, and legal considerations

- Analyses of big data from EHRs, genomes, proteomes, images, social media, patient reports, etc.

Authors should make sure to place their work in the context of biomedical research or healthcare, and to carefully review the relevant literature. Research & Applications articles, Case Studies, and Brief Communications should describe clear evaluation strategies and quantitative or qualitative results, and discuss how results could be generalized to other settings. Preference will be given to systematic Reviews. Perspectives should provide consensus of a group of experts who are highly experienced in the topic, and should demonstrate command of the existing literature, particularly recent literature whose synthesis would be new to our readers. Open-source software code and data should be submitted, as well as data when appropriate.

Important Dates

May 31, 2013 Manuscript submission deadline

July 31, 2013 (expected) Initial decisions sent to authors

August 31, 2013 (expected) Revised manuscript submission deadline

September 30, 2013 (expected) Final decisions sent to authors

Submission and Peer Review Process

To ensure consideration in the special issue, authors should note in a cover letter that their submission is for the “Special Issue on Big Data”. Detailed information for online submission to JAMIA is available via http://jamia.bmj.com.

All manuscripts will be subject to the rigorous JAMIA peer-review process. Manuscripts that are considered within scope and meet quality expectations will be typically reviewed by two experts for scientific merit. Assistance of a native English speaker is highly recommended prior to submission.

Authors should format and structure their manuscripts according to the guidelines specified at: http://jamia.bmj.com/site/about/guidelines.xhtml. Accepted articles may appear in print or in an online JAMIA issue.

Computer Scientist, Informatician, Information Scientist, Physician Researcher