Topics of interest for each track include (but are not limited to):

-          Machine Learning

-          Deep Learning

-          Evolutionary Learning

-          Man-Machine Systems

-          Genetic Algorithms

-          Neural Nets, Fuzzy Systems

-          Rough sets, near sets

-          Fuzzy and Neuro-Fuzzy Control

-          Knowledge Based Systems

-          Expert Systems and Lazy learning

-          Computing Machinery and Intelligence

-          Computer Networks

-          Mining of Massive Datasets

-          Massive Data Analysis

-          Massive Datasets Applications

-          Algorithms for Modern Massive Data Sets

-          Intelligent signal processing systems

-          Bio-Inspired Systems

-          Applications

PUBLICATIONS
All accepted papers will be published in the conference proceeding which will be published by Springer in the series of ““Lecture Notes on Data Engineering and Communications Technologies, Springer” and abstracted/indexed in DBLP, Google Scholar, Mathematical Reviews, SCOPUS, INSPEC, EI Compendex.

Student Best Paper Award
Papers accepted and presented in the conference and their first author is MSc or PhD students will be given the opportunity to compete for the Best Paper Award. The entries of the competition should be presented at the conference by the student.