Conference Subthemes and Tracks

TRACK-1: Engineering in Computational Intelligence and Application

• Computational Intelligence, Deep Learning, Data Compression and Sampling
• Parallel and distributed learning, Big Data analytics and Artificial Intelligence
• High performance computing for data analytics
• Intelligent Information Retrieval, Neural networks and its applications
• Evolutionary algorithms and its applications, Fuzzy sets and its applications
• Soft computing, Multimedia, Web Mining, Crowd sourcing, Crowd Monitoring

TRACK-2: Data Sciences in IoT and Information Communication Technology

• Information Communication Technology (ICT)
• Smart Cities, Smart Grids, Smart Textiles, Smart Agriculture and Farming
• Advance Manufacturing, Augmented and Virtual Reality Interactions
• 3D Printing, Smart Water, Smart Healthcare, Management of Emergencies
• Digital Health and Telemedicine
• Ubiquitous computing, Ambient Intelligence Sensor Networks and Embedded System
• Security for IoT, Wearable Devices, Smart city theory modeling and simulation
• Education and skill development, Cloud solutions for smart cities
• Role of big data analysis in smart city, Smart and green building technologies
• Smart solutions for special needs people, Urban Entrepreneurships and challenges
• Platforms for smart government, Digitalization of civic services
• Data and Information infrastructure modeling

TRACK-3: High Performance Computing and Machine Learning

• Machine Learning for High-Performance Computing
• Biomedical knowledge discovery and gene deletion data
• Data Clustering and Texture Analysis, Applications
• Image & Video Representation, Compression and Coding
• Active Vision, Tracking and Motion Analysis
• Object and Event Recognition, 2D, 3D Scene Analysis and Visualization
• Knowledge discovery theories, models and systems
• Human-machine interaction for knowledge discovery and management
• Learning for streaming data, Machine learning over the Cloud
• Knowledge based neural networks
• Machine learning and deep learning for images and videos
• Spatial/Temporal Data, Big data visualization, modeling and analytics
• Robot vision systems for Manipulation and Navigation
• Social media applications with images and videos

TRACK- 4:Information Security and Governance Policies

• E-Governance, Data analysis and Management
• Knowledge Representation and Reasoning
• Pattern Recognition, Clustering and Classification
• Big Data Networking Technologies
• Data warehouse and applications, Access and Usage Control
• Biometric Technologies and Applications
• Cryptographic Algorithms, Information Hiding and Anonymity
• Intrusion Detection and Response
• Malware Detection, Legal and Regulatory Issues
• Mobile Security, Phishing, Risk and Reputation Management
• Network Security, Data hiding

TRACK- 5:Computational Techniques in Forensic Computing

• Automotive Security, Content Protection and Digital Rights Management
• Data and Software Security, Information Hiding and Anonymity
• Intrusion Detection and Response, Legal and Regulatory Issues
• Malware Detection, Mobile Systems Security
• Phishing, Privacy, Security and Trust in social media
• Security and Privacy in Cloud and Pervasive Computing
• Security and Trust in Pervasive Information Systems
• Security Awareness and Education, Software Security Assurance
• Threat Awareness, Vulnerability Analysis and Countermeasures

TRACK- 6:Regenerative Artificial Intelligence in Engineering

• AI in Regenerative Medicine
• Automotive Security, Content Protection and Digital Rights Management
• Unlocking the Power of Regenerative AI
• Digitalization of civic services
• Phishing, Risk and Reputation Management
• Ambient Intelligence Sensor Networks
• Knowledge based Regenerative AI