Track 1: Theory, Methods and Tools:

Artificial intelligence and data science
Machine learning
Data Structures & Algorithms
Decision support system
Extraction of Biometric Features (fingerprint, face, gait)
Time series modelling
Evolutionary ensemble systems
Evolutionary optimization, machine vision, pattern recognition
Information Theory
Game Theory
Machine learning and deep learning methods in Healthcare
Data Mining and Bioinformatics
Multi-dimensional Big Data
Real-world problem solving using swarm intelligence

– Track 2: Computer Networks and Communications:

Internet of Things

Next generation wireless/wireline communications

Cryptography and information security

Communication networking

Parallel and distributed computing

Social Network Applications

Mobile computing

Adhoc and sensor networks

Internet and Web applications

Mobile application and security

Network Protocols and Wireless Networks

Wireless Multimedia systems

-Track 3: Application Fields in information science and technology:

Surveillance Systems

Virtual reality and its application

Manufacturing systems

Robot control

Software Engineering,

Computer Animation

Multimedia Systems and Services

Integrating Technology in Education