[AISWorld] CALL FOR CHAPTER : Big Data Analytics in HIV/AIDS Research

[Dr. Ali AL-Mazari]

*CALL FOR CHAPTER PROPOSALS*

*AND*

*​Call for the International Reviewers Committee*



http://www.igi-global.com/publish/call-for-papers/call-details/2343

*Proposal Submission Deadline: March 20th 2017*




*Book: Big Data Analytics in HIV/AIDS Research *



*Note, send an email, please, to become a:*

·         Member of the Editorial Advisory Board, or

·         Member of the International Reviewers Committee



*Note, your conference paper with extension may fit this publication.*




*Introduction *HIV/AIDS Big Data Analytics evolved as a potential
initiative enabling the connection between three major scientific
disciplines: (i) the HIV biology emergence and evolution; (ii) the clinical
and medical complex problems and practices associated with the infections
and diseases; and (iii) the computational methods for the mining of
HIV/AIDS biological, medical and clinical Big Data. The book aims to
underline and respond to the Big Data problems at the intersection and
multidisciplinary science of these three disciplines. The focal aspects of
this book will serve for:

• Understanding the different aspects of HIV/AIDS Big Data Management. This
will derive and represent the understanding of the HIV/AIDS Big Data
construction, archituct and its intersection with the computational,
biomedical, pharmacological and other domains.

• Understanding and identification of the key Big Data variables and Big
Databases aspects for HIV/AIDS evolution, treatment and management using
computational techniques and algorithms. This will represent the
application of HIV/AIDS Big Data Analytics as an interest of research
communities from different disciplines.

• Understanding HIV/AIDS Big Data mining and modelling for issue-specific
knowledge discovery in the area of medicine. This will provide the robust
ICT integration explaining the use of these Big Data Analytics technologies
within biology and therapy of HIV. This will accelerate and influence the
bioinformatics and biomedical informatics paradigm.


*Objective of the Book *The first objective in this book is to highlight
the problems associated with HIV/AIDS Big Data Management from different
perspectives including: Management Software, Applications and Approaches;
Big Data Architect and Warehouses; Big Data Governance; HIV/AIDS Big Data
Security and Privacy, etc. As in Part A, this will address the emergence
and evolution of HIV/AIDS Big Data Management Domain to understand how such
massive data can be collected, stored, managed, secured, handled, governed,
used, etc. It is believed that these key issues are crucial for the
development and implementation of Big Data Analytics in the HIV/AIDS
industry.

The second objective is to provide the development and implementation of
different computational techniques for HIV/AIDS Big Data Analysis with
focus on the key big biological and complex clinical variables of HIV/AIDS
to be considered by practitioners and scientists. As in Part B, this will
involve the development, implementation and testing of Computational
HIV/AIDS Big Data Analytics, Techniques, Models and Algorithms for the
Prediction, Classification, Visualization, Clustering, Optimisation and
Distributed Processing problems. These will extend the understanding of
HIV/AIDS Big Data for clinical decision making and antiretroviral design.

The third objective is to provide Big Data Analytics for knowledge
discovery in specific domains of the HIV/AIDS infection and disease. As in
Part C, the book will introduce several Big Data Analytics to improve the
current knowledge in key domains including HIV/AIDS Epidemiology and
Pathology, Evolutionary Patterns, Genotypes and Phenotypes, Immune System
Evolution, Viral Dynamics, Drug Resistance Dynamics, Antiretroviral
Interactions, Transmission and Adherence. These efforts will generate and
improve key and new types of knowledge needed for the management of
HIV/AIDS infection and disease.

*Target Audience*
This book will serve as a significant reference for Computational
Scientists, Statisticians, Computational Biologists, Bioinformaticians,
Biomedical Scientists, Clinical Practitioners, Pharmacologists and other
researchers in the areas of Computing, Big Data Aanlytics, Machine
Learning, Data Mining, Pharmacology, Infectious Diseases and Evolution
Biology.

The book can also serve as a complementary textbook for advanced courses in
the area of data mining, machine learning, medical sciences of infections
diseases, computational biology and biomedical informatics
multidisciplinary courses designed for undergraduate, postgraduates and
doctorate research students.

Potential titles of courses associated with this book may include: ‘HIV Big
Data Computation’, ‘Big Data Analytics in Bioinformatics’, 'Big Data Mining
and Modeling in HIV/AIDS’, ‘Computational Methods for Big Data Analysis’,
‘Computing Methods in Biomedical Informatics’, Big Data Analytics for HIV
Dynamics’, and so forth.

This book can be used as complementary reading for courses in
bioinformatics, biomedical informatics, statistics and life sciences where
these specialisations are offered. The target audience for this book will
include:

·         Research Centers and Researchers in the areas of Big Data
Analytics, data mining, machine learning, algorithmic design in life
sciences, bioinformatics, biomedical informatics, medical informatics,
pharmacology, drug discovery and design, and evolution biology—Primary.

·         Postgraduate Students: this book can be used as a complementary
textbook for advanced courses in the area of Big Data Analytics, data
mining, machine learning, medical sciences of infections diseases,
Biostatistics, computational biology and biomedical informatics—Secondary.

·         Computing Industry Practitioners: this book will be useful for
computer applications developers in the area of Big Data Analytics, data
mining, machine learning and life sciences. The book will enable them to
easily investigate and identify major requirements of computational
infrastructure, application and platforms—Secondary.

·         Clinical Industry Practitioners: this book will be useful for
clinical practices in the area of infectious diseases and immunology. The
book will enable them to easily identify and analytically understand the
different aspects of infection of the disease they manage or investigate
which is similar to HIV/AIDS—Secondary.

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

Topics of interest include, but are not limited to, the following:

   - Big Data Complexity and Management in HIV/AIDS
   - Big Data Importance, Potential and Challenges in HIV/AIDS
   - Big Data Repositories, Storage and Warehouses in HIV/AIDS
   - Big Data Cleaning, Integration and Representation in HIV/AIDS
   - Big Data Software, Applications and Approaches in HIV/AIDS
   - Big Data Architect, Structure and Design in HIV/AIDS
   - Big Data Taxonomy, Ontology and Ecosystems in HIV/AIDS
   - Big Data Governance and Best Practices in HIV/AIDS
   - Big Data Risks, Security and Privacy in HIV/AIDS
   - Big Data Prediction Techniques in HIV/AIDS
   - Big Data Classification Techniques in HIV/AIDS
   - Big Data Visualization Techniques in HIV/AIDS
   - Big Data Clustering Techniques in HIV/AIDS
   - Big Data Optimization Techniques in HIV/AIDS
   - Big Data Distributed Processing Techniques in HIV/AIDS
   - HIV/AIDS Epidemiology and Pathology Analytics
   - HIV/AIDS Evolutionary Patterns Analytics
   - HIV/AIDS Genotypes and Phenotypes Analytics
   - HIV/AIDS Immune System Evolution Analytics
   - HIV/AIDS Viral Dynamics Analytics
   - HIV/AIDS Drug Resistance Dynamics Analytics
   - HIV/AIDS Antiretroviral Interactions Analytics
   - HIV/AIDS Transmission Analytics
   - HIV/AIDS Adherence Analytics

*Submission Procedure*
Researchers and practitioners are invited to submit on or before *November
30th 2016*, a chapter proposal of *1,000 to 2,000 words* clearly explaining
the mission and concerns of his or her proposed chapter. Authors will be
notified by *December 10th, 2016* about the status of their proposals and
sent chapter guidelines. Full chapters are expected to be submitted by *March
5th, 2017,* and all interested authors must consult the guidelines for
manuscript submissions at
http://www.igi-global.com/publish/contributor-resources/before-you-write/
prior to submission. All submitted chapters will be reviewed on a
double-blind review basis. Contributors may also be requested to serve as
reviewers for this project.

Note: There are no submission or acceptance fees for manuscripts submitted
to this book publication, *Big Data Analytics in HIV/AIDS Research*. All
manuscripts are accepted based on a double-blind peer review editorial
process.

All proposals should be submitted through the E-Editorial DiscoveryTM
online submission manager.

*Publisher*
This book is scheduled to be published by IGI Global (formerly Idea Group
Inc.), an international academic publisher of the “Information Science
Reference” (formerly Idea Group Reference), “Medical Information Science
Reference,” “Business Science Reference,” and “Engineering Science
Reference” imprints. IGI Global specializes in publishing reference books,
scholarly journals, and electronic databases featuring academic research on
a variety of innovative topic areas including, but not limited to,
education, social science, medicine and healthcare, business and
management, information science and technology, engineering, public
administration, library and information science, media and communication
studies, and environmental science. For additional information regarding
the publisher, please visit www.igi-global.com. This publication is
anticipated to be released in 2017.

Thanks and Best wishes,


*Important Dates*

March 20th, 2017*:                    Full Chapter Submission*

May 5th, 2017*:                        Review Results Returned*

May 25th, 2017*:                      Revised Chapter Submission*

June 30th, 2017*:                      Final Acceptance Notification*

July 15th, 2017*:                       Final Chapter Submission*






*Editorial Advisory Board Members: *TBA



*International Reviewers Committee Members:*

TBA




*Inquiries can be forwarded to, the Editor, *Ali Al Mazari, PhD, Biomedical
Informatics
ALFAISAL University, PS CoB, Saudi Arabia
Tel: 00966 – 561262298

Email: almazari at pscj.edu.sa

*Call for Chapters Link*

http://www.igi-global.com/publish/call-for-papers/call-details/2343