WCITCA`2015 Call for paper - World Congress on Information

Transcription

World Congress on Information Technology and Computer Applications
(WCITCA’2015), 11-13 June 2015
Hammamet, Tunisia
http://www.wcitca.org
Researchers are invited to submit abstracts, posters or papers through EDAS or by e-mail:[email protected];
reporting original, unpublished research results in Computer Related Studies by March 05, 2015. WCITCA’2015 will have a
poster session for which we will also accept late submissions; such late poster papers will be included in a special
proceeding, and also candidate for journal publication.
Each submitted paper will be blindly reviewed, through Edas Conferences Submission Systems, by at least two members of
an international technical program committee with appropriate expertise.
All accepted papers must be presented to be published.
All accepted and registered papers (extended versions) will be published in NNGT International Journals:
International Journal of Information Security
International Journal of Networking and Communication
International Journal of Internet and Web Applications
International Journal on E-Learning and Education
International Journal of Artificial Intelligence
International journal of Information Systems
International Journal of Signal Processing and Imaging Engineering
International Journal of Software Engineering
International Journal of Embedded Systems
WCITCA’ 2015 invites original contributions on all Computer Applications Technology, including, but not limited to:
Track 1: Advances in Big Data Analytics
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ALGORITHMS FOR BIG DATA:
Data and Information Fusion
Genetic Algorithms
Machine Learning
Natural Language Processing
Signal Processing
Scalable Algorithms
Simulation and Modeling
Data-Intensive Computing
Parallel Algorithms (including the mapreduce paradigm)
Testing Methods
Dimensionality Reduction Techniques
Multidimensional Big Data
Multilinear Subspace Learning
Sampling Methodologies
Streaming
 BIG DATA FUNDAMENTALS:
Novel Computational Methodologies
Algorithms for Enhancing Data Quality
Models and Frameworks for Big Data
Graph Algorithms and Big Data
Computational Science
Computational Intelligence
 INFRASTRUCTURES FOR BIG
DATA:
Cloud Based Infrastructures (applications,
storage & computing resources)
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Data Protection Methods
Data Integrity and Privacy Standards and Policies
Data Fusion and Integration
Data Science
Novel Data Management Methods
Crowdsourcing
Stream Data Management
Scientific Data Management
 BIG DATA SEARCH & MINING
METHODS:
Multimedia and Big Data
Data Mining
Social Networks
Data Science
Web Search and Information Mining
Scalable Search Architectures
Cleaning Big Data (noise reduction), Acquisition &
Integration
Visualization Methods for Search
Time Series Analysis
Recommendation Systems
Graph Mining and Other Similar Technologies
 SECURITY & PRIVACY IN THE ERA OF
BIG DATA:
Cryptography
Threat Detection Using Big Data Analytics
Privacy Threats of Big Data
Privacy Preserving Big Data Collection
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Grid and Stream Computing for Big Data
High Performance Computing, Including
Parallel & Distributed Processing
Autonomic Computing
Cyber-infrastructures and System
Architectures
Programming Models and Environments to
Support Big Data
Software and Tools for Big Data
Big Data Open Platforms
Emerging Architectural Frameworks for Big
Data
Paradigms and Models for Big Data beyond
Hadoop/MapReduce, ...
 BIG DATA MANAGEMENT AND
FRAMEWORKS:
Database and Web Applications
Federated Database Systems
Distributed Database Systems
Distributed File Systems
Distributed Storage Systems
Knowledge Management and Engineering
Massively Parallel Processing (MPP)
Databases
Novel Data Models
Data Preservation and Provenance
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Intrusion Detection
Socio-economical Aspect of Big Data in the
Context of Privacy and Security
 APPLICATIONS OF BIG DATA:
Big Data as a Service
Big Data Analytics in e-Government and Society
Applications in Science
Engineering
Healthcare
Visualization
Business
Education
Security
Humanities
Bioinformatics
Health Informatics
Medicine
Finance
Law
Transportation
Retailing
Telecommunication
All Search-based applications..
Track 2: E-Learning, e-Business, Enterprise Information Systems, and e-Government
(EEE) :
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e-Learning:
e-Learning design and methodologies
e-Learning portals
Instructional design methodologies
Audio and video technologies for e-Learning
Authoring tools
e-Learning technologies and tools
Social impact and cultural issues in e-Learning
Content management and development
Policy issues in e-Learning
On-demand e-Learning
e-Learning standards
Assessment methodologies
Knowledge management
Virtual learning environments
AI and e-Learning
On-line education (all levels: elementary,
secondary, .)
Open-source e-Learning platforms
Training and evaluation strategies
e-Universities
Case studies and emerging applications
e-Business:
e-Business systems integration and
standardization
Electronic negotiation systems and protocols
Internet payment systems
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Applications of new technologies to e-Business
Middleware technologies to support e-business
Case studies and applications
Enterprise Information Systems:
Strategic decision support systems
Organizational semiotics and semiotics in computing
Datacenters, data warehouses and technologies
Knowledge management
Enterprise resource planning and e-Business
Middleware integration
Intranet and extranet business
Applications
Databases and information systems integration
Intelligent agents
Enterprise-wide client-server architectures
Information systems analysis and specification
Ontology engineering
CASE tools for system development
B2B and B2C applications
Business processes re-engineering
Market-spaces: market portals, hubs, auctions, ...
Semantic web technologies and Cloud computing
Web interfaces and usability
Human factors and e-Learning
Case studies and applications
e-Government:
e-Democracy and e-Voting
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e-Procurement methods
Techniques for B2B e-Commerce
Global e-Commerce and e-Business
e-Business models and architectures
Service-oriented e-Commerce
Trust, security, and privacy in e-Commerce
and e-Business
Intelligence in e-Commerce
Secure Databases and e-Commerce
applications
Business-oriented and consumer-oriented eCommerce
Development of e-Business and applications
e-Business in developing countries
Novel marketing strategies on the web
Organizational and management issues
Supply chain management
e-Retailing and web design
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e-Government
Use of e-Government methodologies to prevent
corruption
Legal aspects of e-Government
Risk management
Methods and tools for e-Government
Policies and strategies
Designing web services for e-Government
Trust and security in e-Government
Enterprise architecture for e-Government
Interoperability frameworks in e-Government
Inter-administration and G2G issues
Public and private partnership
Teaching e-Government
Case studies
Track 3: Embedded Systems and Applications (ESA):
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Embedded system architecture:
Multiprocessors
reconfigurable platforms
memory management support
communication
Protocols
network-on-chip
real-time systems
embedded microcontrollers, ...
Embedded hardware support:
System-on-a-chip
DSPs
FPGAs
hardware specification
Synthesis
Modeling
Simulation and analysis
Power-aware systems
Testable
Reliable
verifiable systems
performance modeling
safety critical systems
VLIW architectures
System on Chip design...
Real-time systems:
Software
distributed real-time systems
real-time kernels
real-time OS
task scheduling
multitasking design, ...
Embedded software:
Compilers
assemblers and cross assemblers
Programming
memory management
object-oriented aspects
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design representation
Synthesis
Partitioning
Estimation
design space exploration beyond traditional
hardware/ software boundary and algorithms...
Testing techniques:
Design-for-test
test synthesis
built-in self-test
embedded test
for embedded and system-on-a-chip systems.
Application-specific processors and devices:
Network processors
real-time processors
media and signal processors
application specific hardware accelerators
reconfigurable processors
low power embedded processors
bio/fluidic processors
hand-held devices
flash memory chips...
Industrial practices and benchmark suites:
System design
processor design
software
tools
case studies
Trends
emerging technologies
benchmark suites
Representation
interchange format
tools
Copyrights
Maintenance
metrics...
Embedded computing education:
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virtual machines
scheduling
concurrent software for SoCs
distributed/resource aware OS
middleware support
Software utilities ...
Hardware/software co-design:
Methodologies
test and debug strategies
Specification and modeling
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Curriculum issues
Teaching tools and methods.
Emerging new topics:
New challenges for next generation embedded
computing systems
arising from new technologies (e.g.,
nanotechnology)
new applications (e.g., pervasive or ubiquitous
computing, embedded internet tools, embedded
Engineering)
Track 4: Frontiers in Education: Computer Science and Computer Engineering (FECS):
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ABET Accreditation and assessment
(experiences and methods)
Student recruitment and retention methods
Promoting multi-disciplinary initiatives impact on curriculum
Capstone research projects: examples and case
studies
Distance learning; methods, technologies and
assessment
Innovative degree programs and certificates
Innovative uses of technology in the
classroom
Collaborative learning
Learning models and learning from mistakes
Computer and web-based software for
instruction
Ethics in computer science and engineering
Incorporating writing into CS and CE
curriculum
Preparing graduates for academia
Preparing graduates for industry
Partnerships with industry and government
Team projects and case studies
Undergraduate research experiences
Student observation and mentoring strategies
Integrating gender and culture issues into
computer science and engineering curriculum
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Advising methods
Evaluation strategies (professors, students, ...)
Transition to graduate studies
The balance between course-work and research
Issues related to the choice of first programming
language
Debugging tools and learning
Projects, software engineering, programming issues,
and laboratory practices
Virtual laboratories
Computer science and computer engineering
curriculum
Active learning tools
Undergraduates as teaching assistants
Funding opportunities for curriculum development
and studies
Pilot studies
STEM (Science, Technology, Engineering &
Mathematics) initiatives
Teaching methods
Recruiting methods to attract graduate students
Proposed methods for ranking CS and CE
departments
The role of visualization and animation in education
Academic dishonesty in a high-tech environment
Experiences in the formation of Department
Advisory Board
Factors that lead to success in CS and CE
Track 5: Information and Knowledge Engineering (IKE):
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Knowledge management and cyber-learning
Information reliability and security
Information and knowledge structures
Information retrieval systems
Knowledge mining
Knowledge delivery methods
Knowledge life cycle
Knowledge and information extraction and
discovery techniques
Knowledge classification tools
Knowledge and information management
techniques
Knowledge extraction from images
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Health information systems
Data security and privacy issues
Managing copyright laws
Interoperability issues
Transaction systems
Search methods
Ontologies and semantics
Object-oriented modeling and systems
Case-based reasoning
Digital watermarking
Classical aspects of information theory
Coding theory
Information geometry
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Knowledge representation and acquisition
Knowledge re-engineering
Large-scale information processing methods
Intelligent knowledge-based systems
Re-usability of
software/knowledge/information
Aspect-oriented programming
Formal and visual specification languages
Decision support and expert systems
e-Libraries (digital libraries) + e-Publishing
Ontology: engineering, sharing and reuse,
matching and alignment
Digital typography
Agent-based techniques and systems
Workflow management
Business intelligence
Large-scale information processing methods
and systems
Content management
Database engineering and systems
Data and knowledge fusion
Data and knowledge processing
Databanks - issues, methods, and standards
Dataweb models and systems
Global contextual processing and management
implementation
Data/Information/Knowledge models
Data warehousing and datacenters
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Quantum information theory
Applications (e-Commerce, multimedia, business,
banking, ...)
Emerging technologies and related issues
Natural language processing
Information integration
Multi-cultural information systems
Domain analysis and modeling
Metamodeling
Education and Training Issues
 Big Data:
Massively parallel-processing (MPP) databases
Data-mining grids
Distributed file systems and information retrieval
Distributed databases
Cluster analysis
Crowdsourcing
Data fusion and integration
Ensemble learning
Neural networks
Pattern recognition
Data anomaly detection
Predictive modeling
Supervised and unsupervised learning
Time series analysis and visualization
Search-based applications
Track 6: Semantic Web and Web Services (SWWS):
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 Semantic Web:
Machine learning approaches for semantic
web
Semantic web for e-Business and e-Learning
Trust networks on semantic web
Database technologies for semantic web
Semantic knowledge portals
Semantic web mining
Semantic web inference methodologies
Metadata generation
Semantic web services
Semantic web trust, privacy, and security
Tools, languages, and techniques for semantic
annotation of web data
Semantic intellectual property rights
Semantic searching
Reasoning in the semantic web
Semantic brokering
Visualization and modeling
Hypermedia and semantic web
Software agents for semantic web
Community web portals
Semantic web and enterprises
Trust management for semantic web
Semantic interoperability
Ontology creation, evolution, reconciliation,
and mediation
Semantic web mining
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workflow and process management
Transactions
mobile and wireless
portals
services management
quality-of-service (QoS);
novel web service architectures;
development and modeling frameworks for web
service applications;
composite web services
enabling technologies and support infrastructure;
Data structures and models.
Practices for Developing Enterprise-class Web
Services and Applications:
Design patterns;
architecting for customization,
maintenance, and management;
architecting for easy integration or service
"consumption";
fault-tolerant architectures;
Service mediation systems and architectures.
Case Studies of Web Service Development and
Deployment:
e-Commerce applications using web services;
Business-to-Business (B2B) applications using web
services;
mobile and wireless applications using web services;
utility and on-demand computing using web services;
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Semantic web-based knowledge management
Ontology languages for semantic web
Autonomous semantic web services
Service discovery, description, composition
and invocation
Data semantics
Semantic verification of web sites
Intersection of Big Data and semantic web
Case studies
 Web Services:
Web Service Technologies and Research
Directions:
Enhancements to the basic web services
platform such as SOAP, WSDL, UDDI...;
advanced web service technologies including
security
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government applications using web services;
Applications of web services in developing countries.
Multimedia applications using web services
Communication applications using web services
Interactive TV applications using web services
Big Data:
Scalable web services for Big Data;
services for data integration;
Web services for mapping data to information and to
knowledge.
Novel applications, case studies, and emerging
technologies
Track 7: Data Mining (DM):
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Data Mining Tasks:
Regression/Classification
Time series forecasting
Segmentation/Clustering/Association
Deviation and outlier detection
Explorative and visual data mining
Web mining
Mining text and semi-structured data
Temporal and spatial data mining
Multimedia mining (audio/video)
Others
Data Mining Algorithms:
Artificial neural networks
Fuzzy logic and rough sets
Decision trees/rule learners
Support vector machines
Evolutionary computation/meta heuristics
Statistical methods
Collaborative filtering
Case based reasoning
Link and sequence analysis
Ensembles/committee approaches
Others
Data Mining Integration:
Mining large scale data
Distributed and grid based data mining
Data and knowledge representation
Data warehousing and OLAP integration
Integration of prior/domain knowledge
Metadata and ontologies
Agent technologies for data mining
Legal and social aspects of data mining
Data Mining Process:
Data cleaning and preparation
Feature selection and transformation
Attribute discretisation and encoding
Sampling and rebalancing
Missing value imputation
Model selection/assessment and comparison
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Security Data Mining
Social Science Mining
Data Mining in Logistics
Others
Data Mining Software:
All aspects and modules
Alternative and additional examples of possible
topics include:
Data Mining for Business Intelligence
Emerging technologies in data mining
Big Data
Computational performance issues in data mining
Data mining in usability
Advanced prediction modelling using data mining
Data mining and national security
Data mining tools
Data analysis
Data preparation techniques (selection,
transformation, and preprocessing)
Information extraction methodologies
Clustering algorithms used in data mining
Genetic algorithms and categorization techniques
used in data mining
Data and information integration
Microarray design and analysis
Privacy-preserving data mining
Active data mining
Statistical methods used in data mining
Multidimensional data
Case studies and prototypes
Automatic data cleaning
Data visualization
Theory and practice - knowledge representation and
discovery
Knowledge Discovery in Databases (KDD)
Uncertainty management
Data reduction methods
Data engineering
Content mining
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Induction principles
Model interpretation
Others
Data Mining Applications:
Bioinformatics
Medicine Data Mining
Business/Corporate/Industrial Data Mining
Credit Scoring
Direct Marketing
Database Marketing
Engineering Mining
Military Data Mining
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Indexing schemes
Information retrieval
Metadata use and management
Multidimensional query languages and query
optimization
Multimedia information systems
Search engine query processing
Pattern mining
Applications (examples: data mining in education,
marketing, finance and financial services, business
applications, medicine, bioinformatics, biological
sciences, science and technology, industry and
government)
Track 8: Grid & Cloud Computing and Applications:
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Grid Computing:
Software engineering support for grid
computing
Software integration technologies in grid
systems
Big Data management on Grid
Grid technology and security
Grid computing virtual organizations
Grid information services
Grid middleware and toolkits
Grid monitoring, management, and
organization tools
Evolution of grid standards
User development environment and
programming tools for grid computing
Resource management, scheduling, load
balancing & run-time environments
Information/knowledge grids
Autonomic & utility computing on global
grids
Architectures for grid computing and fabrics
Data grid management systems
Metadata, ontologies, and provenance
Resource discovery
Web services and web security in grid
computing
Wireless enhanced grid systems
Grid and cluster integration
e-Science, e-Business applications, and virtual
instrumentation
Grid object metadata and schemas
Grid survivability
Grid application and deployment
environments
Interconnects and protocols for grids
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Evolution of grid - recent progress
Major grid initiatives
Grid computing scenarios and applications in science,
engineering, and commerce (life science, CFD grids,
business process grids, physics grids, ...)
Cloud Computing:
Big Data management on Cloud
Hardware as a service
SaaS, PaaS, and IaaS
SOA and Cloud computing
Green information technology
Application portability
Cloud scalability
Cloud management and databases
Use of cloud for high-performance computing
Cloud sourcing
Cloud interoperability
Web-scale computing
Data encryption
Virtual Private Inter-Cloud
Cloud reliability and secure Cloud computing
Cloud automation and mobility
Cloud policies and compliance
Cloud federation
Cloud enablement
Consumption-based billing
Cloud serviceability and architecture
Cloud computing and SMBs
Cloud applications
Enterprise Cloud Orchestration
Fabric Computing
Eclipse and Cloud computing
Cloud internetworking
Track 9: Software Engineering Research and Practice:
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Software architectures
Software design and design patterns
Architectural analysis and verifications
Methods
Quality oriented software architecture (design
and Support)
Software reliability, safety and security
methods
Software reuse and component engineering
UML/MDA and AADL
Object oriented technology (design and
analysis)
Software metrics
Reverse and architectural recovery methods
Domain specific software engineering
Aerospace software and system engineering
Software engineering methodologies
Survivable systems
Engineering of safety/mission critical systems
Software testing, evaluation and analysis
technologies
Workflow - Computer Supported Cooperative
Work (CSCW)
Project management issues
Distributed and parallel systems
Legal issues and standards
Automated software design
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Real-time embedded software engineering
Automated software design and synthesis
Software security engineering
Theoretic approaches (formal methods, graph, ...)
Domain modeling and meta-modeling
Software maintenance
Reflection and metadata methodologies
AI approaches to software engineering
Component based software engineering
Software engineering standards and guidelines
Reports on intelligent CASE tools and eclipse plugins
issues
Multimedia in software engineering
Usability engineering
Novel software tools and environments
Pervasive software engineering
Requirement engineering and processes
Critical and embedded software design
Service oriented software architecture
Human computer interaction and usability
engineering
Model based software engineering
Aspect oriented software engineering
Agent oriented software engineering
Programming languages and compilers
Case studies and emerging technologies
Track 10: Artificial Intelligence (AI):
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Brain models / Brain mapping / Cognitive
science
Fuzzy logic and soft computing
Software tools for AI
Expert systems
Decision support systems
Automated problem solving
Knowledge discovery
Knowledge representation
Knowledge acquisition
Knowledge-intensive problem solving
techniques
Knowledge networks and management
Intelligent information systems
Intelligent data mining and farming
Intelligent web-based business
Intelligent agents
Intelligent networks
Intelligent databases
Intelligent user interface
AI and evolutionary algorithms
Intelligent tutoring systems
Reasoning strategies
Distributed AI algorithms and techniques
Distributed AI systems and architectures
Neural networks and applications
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Simulated annealing
Heuristic optimization techniques
Neural networks
Reinforcement learning
Multi-criteria reinforcement learning
General Learning models
Multiple hypothesis testing
Decision making
Markov chain Monte Carlo (MCMC) methods
Non-parametric methods
Graphical models
Gaussian graphical models
Bayesian networks
Particle filter
Cross-Entropy method
Ant colony optimization
Time series prediction
Fuzzy logic and learning
Inductive learning and applications
Grammatical inference
General Graph-based Machine Learning
Techniques:
Graph kernel and graph distance methods
Graph-based semi-supervised learning
Graph clustering
Graph learning based on graph transformations
Graph learning based on graph grammars
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Heuristic searching methods
Languages and programming techniques for
AI
Constraint-based reasoning and constraint
programming
Intelligent information fusion
Learning and adaptive sensor fusion
Search and meta-heuristics
Multisensor data fusion using neural and
fuzzy techniques
Integration of AI with other technologies
Evaluation of AI tools
Social intelligence (markets and computational
societies)
Social impact of AI
Emerging technologies
Applications (including: computer vision,
signal processing, military, surveillance,
robotics, medicine, pattern recognition, face
recognition, finger print recognition, finance
and marketing, stock market, education,
emerging applications, ...)
Machine Learning; Models, Technologies and
Applications
General Machine Learning Theory Statistical
learning theory:
Unsupervised and Supervised Learning
Multivariate analysis
Hierarchical learning models
Relational learning models
Bayesian methods
Meta learning
Stochastic optimization
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Graph learning based on graph matching
General theoretical aspects of graph learning
Statistical modeling of graphs
Information-theoretical approaches to graphs
Motif search
Network inference
General issues in graph and tree mining
Machine Learning Applications:
Aspects of knowledge structures
Computational Finance
Computational Intelligence
Knowledge acquisition and discovery techniques
Induction of document grammars
Supervised and unsupervised classification of web
data
General Structure-based approaches in information
retrieval, web authoring, information extraction, and
web content mining
Latent semantic analysis
Aspects of natural language processing
Intelligent linguistic
Aspects of text technology
Computational vision
Bioinformatics and computational biology
Biostatistics
High-throughput data analysis
Biological network analysis: protein-protein
networks, signaling networks, metabolic network,
transcriptional regulatory networks
Graph-based models in biostatistics
Computational Neuroscience
Computational Chemistry
Computational Statistics
Systems Biology
Algebraic Biology
Track 11: Computer Applications Technology :
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Academic Integrity, Plagiarism Detection and
Software Misuse
Architectural Design
Artificial Intelligence
Bio-informatics
Bioinformatics and Scientific Computing
Biomedical Engineering
BIOS
Computer Animation
Computer Architecture & VLSI
Computer Architecture and Embedded
Systems
Computer Based Education
Computer Games
Computer Graphics & Virtual Reality
Computer Graphics and Multimedia
Computer Hardware
Computer Human Interaction
Computer Modelling
Computer Networking
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Data Privacy and Security
Database
Database Systems
Distributed Computing
e-Business
File Sharing
Future of Computing
Genetic Computational Algorithms
Graphics
Image Processing
Information Technology and Critical Systems
Metrics and Measurements Methods
Nature Inspired Optimization Algorithms and their
Applications
Operating Systems
Parallel and Distributed Computing
Parallel Computing
Pattern Recognition
Performance Evaluation
Problem Solving Environments
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Computer Security
Computer Security for banking systems
Computer Viruses
Computer-aided Design/Manufacturing
Computer-Ethics
Computing Pioneer
Computing Practices & Applications
Control Systems
Data Communications
Data Compression
Data Encryption
Data Mining
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Programming Languages
Robotics and Automation
Scientific Computing
Signal and Image Processing
Simulation and Optimization Techniques
Software Engineering
Software Maintenance Activities
Storage Space
Testing Methods
UML Methods
Virtual Reality
Web- and Grid-based Simulation
Track 12: Computer Related Knowledge:
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Advanced Statistical Algorithms
Artificial Intelligence
Bio-informatics
Bioinformatics and Scientific Computing
Biomedical Engineering
Computer Animation
Computer Architecture & VLSI
Computer Architecture and Embedded
Systems
Computer Based Education
Computer Games
Computer Graphics & Virtual Reality
Computer Graphics and Multimedia
Computer Modelling
Computer Networking
Computer Security
Computer Security for banking systems
Computer-aided Design/Manufacturing
Computer-Ethics
Computing Practices & Applications
Important Dates:
Submission Deadline
March 05, 2015
Note of Acceptance
May 05, 2015
Early registration Ends
May 20, 2015
Final Camera-ready
May 30, 2015
Congress General Chair:
Nejmeddine Tagoug, King Saud University, SA
Congress Technical Program Chairs:
SK MD Mizanur Rahman, King Saud University, Saudi Arabia
Abdelmonim Mohamed Ali Artoli, King Saud University, Saudi Arabia
Organization Chairs:
Yacine Atef, UAE University, United Arab Emirates
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Control Systems
Data Communications
Data Compression
Data Encryption
Data Mining
Database Systems
Distributed Computing
Genetic Computational Algorithms
Parallel and Distributed Computing
Parallel Computing
Pattern Recognition
Performance Evaluation
Problem Solving Environments
Programming Languages
Robotics and Automation
Scientific Computing
Simulation and Optimization Techniques
Virtual Reality
Web- and Grid-based Simulation
Zouheir Trabelsi, UAE University, UAE
M Anwar Hossain , King Saud University, Saudi Arabia
Local Organizing Committee Chairs:
Chebbi wrida, N&N Global Technology, Tunisia
Kidissi Zina, N&N Global Technology, Tunisia
Barira Tarek, N&N Global Technology, Tunisia
Wahid Hamdi , ISET Tozeur, Tunisia
Mahmoud Sfaya, University of Montreal, Canada
Mohamed Amine Harabi, Time University, Tunisia
Farah Nasri, Monastir University, Tunisia
Publication Chair:
Abbes Wafa, N&N Global Technology, Tunisia
Publicity Chair:
Raddadi Sghaira, N&N Global Technology, Tunisia
Conference Venue:
Méhari Hammamet 5* Hammamet , Tunisia

WCITCA`2015 Call for paper - World Congress on Information

Transcription

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