Journal of Advances in Information Technology (JAIT) (ISSN: 1798-2340)

Description

Editor-in-Chief

Prof. Dr. A.C.M. Fong
Professor of Computing Science, School of Computing and Mathematical Sciences
Auckland University of Technology, New Zealand
Email: jait.editorial-AT-gmail.com


Associate Editor-in-Chiefs

Prof. Jinan Fiaidhi
Department of Computer Science, Lakehead University, Canada

Prof Kin C. Yow
School of Computer Engineering, Nanyang Technological University, Singapore


Aim

Information technology (IT) has become an integral part of everyday life. From commerce and
government to scientific discovery, healthcare, education, entertainment and environmental
management, IT is indispensable and will continue to fuel further advances in all facets of human
endeavors. At the same time, IT provides a powerful foundation for tackling many of the problems
that we face in the 21st century. These include data modeling and prediction to help manage
rapidly graying populations, analysis of satellite imagery to manage deforestation or resource
exploration, etc. We have witnessed rapid advances in IT in recent years, and further advances in IT
will help solve (or mitigate) many of the problems we face in the future.

The JAIT is centered around the idea of new and emerging IT advancements geared towards
finding solutions in tackling the problems and challenges that we face in the 21st century. This
necessitates a forward-looking and multidisciplinary/convergent approach and aims at harnessing
advances in computing and IT both to improve our everyday life in a multitude of ways and to meet
the challenges of tomorrow. The published articles would immediately demonstrate ‘useful’
research.

JAIT is intended to reflect new directions of research and report latest advances. It is a platform for
rapid dissemination of high quality research / application / work-in-progress articles on IT solutions
for managing challenges and problems within the highlighted scope.


Scope

JAIT encourages a multidisciplinary approach towards solving problems by harnessing the power
of IT in the following areas (the list is indicative and not necessarily exhaustive):

Healthcare and Biomedicine - advances in healthcare and biomedicine e.g. for fighting
impending dangerous diseases - using IT to model transmission patterns and effective
management of patients’ records; expert systems to help diagnosis, etc.
Environmental Management - climate change management, environmental impacts of
events such as rapid urbanization and mass migration, air and water pollution (e.g. flow
patterns of water or airborne pollutants), deforestation (e.g. processing and management of
satellite imagery), depletion of natural resources, exploration of resources (e.g. using
geographic information system analysis).
Popularization of Ubiquitous Computing - foraging for computing / communication
resources on the move (e.g. vehicular technology), smart / ‘aware’ environments, security
and privacy in these contexts; human-centric computing; possible legal and social
implications.
Commercial, Industrial and Governmental Applications - how to use knowledge discovery
to help improve productivity, resource management, day-to-day operations, decision
support, deployment of human expertise, etc. Best practices in e-commerce, e-commerce,
e-government, IT in construction/large project management, IT in agriculture (to improve
crop yields and supply chain management), IT in business administration and enterprise
computing, etc. with potential for cross-fertilization.
Social and Demographic Changes - provide IT solutions that can help policy makers plan
and manage issues such as rapid urbanization, mass internal migration (from rural to
urban environments), graying populations, etc.
IT in Education and Entertainment - complete end-to-end IT solutions for students of
different abilities to learn better; best practices in e-learning; personalized tutoring systems.
IT solutions for storage, indexing, retrieval and distribution of multimedia data for the film
and music industry; virtual / augmented reality for entertainment purposes; restoration and
management of old film/music archives.
Law and Order - using IT to coordinate different law enforcement agencies’ efforts so as to
give them an edge over criminals and terrorists; effective and secure sharing of intelligence
across national and international agencies; using IT to combat corrupt practices and
commercial crimes such as frauds, rogue/unauthorized trading activities and accounting
irregularities; traffic flow management and crowd control.

The main focus of the journal is on technical aspects (e.g. data mining, parallel computing, artificial
intelligence, image processing (e.g. satellite imagery), video sequence analysis (e.g. surveillance
video), predictive models, etc.), although a small element of social implications/issues could be
allowed to put the technical aspects into perspective. In particular, we encourage a
multidisciplinary / convergent approach based on the following broadly based branches of
computer science for the application areas highlighted above:

Computational Biology, Biomedicine, Bio-informatics and Biometrics
Advances in AI and Soft Computing
Learning and Evolutionary Computing, Evolutionary Algorithm, Genetic Algorithms
Cognitive Science, Mathematical Linguistics
Computational Intelligence, Neuroscience, Intelligent Systems and Agent
Expert systems & Decision Making
Neural Networks, Fuzzy Logic, Reasoning
Chaos Theory, Dynamical Systems
Information and Knowledge
DNA Computing
Nano-Computing
Quantum Computing
Natural Computing
Language and Search Engine, Information Retrieval
Information Security
Data Engineering, Database, Data Mining, Data Warehouse, Data Fusion
Digital Library
Pervasive Computing
HCI
Non-technical but relevant topics such as Information Policy, Ethics and Legal issues as
appropriate.


Types of Contents

We welcome the following types of contributions:

Full-length and letter-length papers describing original research and/or novel applications
Well researched review/survey articles
Work-in-progress reports on promising developments
Case studies and best practice articles prepared by industry experts
Tutorials on up-and-coming technological breakthroughs

It is expected that 80% of published contents would fall under categories 1) and 2). Although
categories 3)-5) should make up only 20% of published contents, category 3) is intended to be an
important feature of the journal. It will be a venue for publishing ‘spot the trend’ or ‘you saw it here
first’ types of contributions. This reinforces the
forward looking nature of the journal.


Intended Audiences and Contributors

We expect readers and contributors to come from the wide spectrum of computing/IT communities
including academic and industrial researchers, industrial managers and practitioners, IT
consultants, educators, and employees of related government agencies, as well as policy makers
in the public and private sectors.