The International Conference on Data Science, E-learning and Information Systems 2019 (Data'19) will take place in Dubai, Arab Emirates, 2-4 December, 2019.  The conference will be indexed in ACM and the best papers from different tracks will be extended in a number of Journals Special Issues (SCE, Scopus):

    Special issue in Computers & Electrical Engineering Journal, Elsevier (SCE, Scopus)
    ACM JDIQ (SCE, Scopus)

 The conference has the focus on the frontier topics in the theoretical and applied data science and engineering, e-learning and information systems' subjects. Data'19 conference serves as good platforms for our members and the entire data engineering and IS community to meet with each other and to exchange ideas. 

Data'19 conference is composed of the following 12 tracks - Topics of interest include, but are not limited to, the following:

Data Science and Engineering:  Data Fusion, Data Mining,  Aerial Image Analysis, Unmanned Aerial Systems, Social networks, Collaborative Networks, web services, Advanced Analytics, Big Data, Internet of Things, sensor networks, telecommunications, biology, health-care and cloud, data capture, creation, storage, search, sharing, modeling, analysis, and visualization, machine learning, statistics, optimization and managing big mutimedia data.

E-Learning Educational in ICT: E-learning, Engineering Education, Distance Education, Educational Technology, Virtual education and others.

Robotics: Programming, Software, Hardware, Applications, Tools, Systems and Technologies.

Web Technologies: Social Networks, Programming Languages, Semantics, Web Semantic, Mobile Applications, Mobile Engineering, web applications developments and others.

Health Advances and Technologies

Machine Learning & Deep Learning

Modeling, & Simulation

Engineering Projects Management  

Computing & Applications: OS, Databases, Cloud Computing, Soft Computing, Genetic Programming, Genetic Algorithm, Swarm Intelligence, Machine Learning, Pattern Recognition, Fuzzy Systems, Fuzzy Logic, Neural network, Machine Learning, Multi-Agent Systems, Neural Genetic Systems, Neural Fuzzy Systems, Pattern Recognition, Time Series Analysis, Forecasting, Reinforcement Learning, tatistical Data Analysis, Complex Systems, Evolutionary Systems, Applications of soft computing to: Control problems, sensor fusion, manufacturing, testing and diagnostics, semiconductor processing, modeling of complex systems, approximate reasoning, optimization, management science, decision analysis, information systems, economics, financial systems, business applications, forecasting, reliability, cost-benefit analysis, risk assessments, medical applications, forensic applications, automotive applications, robotics, automation, etc. New developments in soft computing: Development of applications or approaches combining fuzzy logic, neural networks, evolutionary computation, expert systems, etc.Soft computing software, Hardware implementations of soft computing.

Signal Processing Engineering 

Renewable Energy 

Information Systems (IS): Information Theory, IT governance, Knowledge Management, e-Commerce vs. e-Business, Building an e-Business, e-Gov, Designing a web site, elements of a web site, evaluation and usability, Web site design: Site plan, strategies and designs, E-commerce Web Site Design: Strategies and Model, Payments, CRM, B2B e-Commerce,  KPMG presentation aother topics related in IS.

Smart Cities

Multimedia Tools and Applications