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Original contributions are invited from prospective authors with interests in the indicated conference topics and related areas of application. All contributions should be high quality, original and not published elsewhere or submitted for publication during the review period. The papers can be theoretical, practical and application oriented on the conference tracks. Every submission must identify the conference track which best relates to the contents of the paper. Papers will be peer reviewed by the International Program Committee, and may be accepted for long and short presentation.
The MIND 2025 theme is Intelligent Systems for Future Networks and Data-Driven Innovations.
Conference Tracks
Conference Tracks
Original contribution for the following areas (but not limited to) are invited:
Artificial Intelligence and Intelligent Systems
Track Chair: TBA
Machine Learning & Deep Learning
Artificial Intelligence & Intelligent Systems
Fuzzy Logic & Neural Networks
Bio-inspired & Evolutionary Computing
Pattern Recognition
Computer Vision & Image Processing
Medical Image Analysis & Healthcare Informatics
Natural Language Processing
Signal & Video Processing
Distributed, Cloud & Parallel Computing
Hybrid & Ensemble Learning Models
Ubiquitous & Perceptual Computing
Web Search & Information Retrieval
Biometrics & Forensic Imaging
Multimedia Systems & Visual Analytics
Big Data & Data Mining
Data Privacy & Security
Data-driven Decision Making
Big Data Management & Storage
Data Visualization
Parallel & Distributed Processing
Recommender Systems
Social Network & Web Mining
Text Mining
Data Integration & Fusion
Cloud/Grid/Stream Computing
High-Performance Computing
Semantic Data Mining
Information Systems
Digital Forensics
Networks and Communication Systems
Track Chair: Dr. Emmanuel Shubhakar Pilli
Malaviya National Institute of Technology Jaipur, India
Cyber-Physical Systems
Wireless Sensor Networks
Internet of Things (IoT)
Vehicular Networking and Connected Vehicles
Network Performance Analysis
Security and privacy in ad hoc networks
Machine learning for Biometric security and privacy
Machine learning for Security and privacy of Web service
Security and privacy in e-services
Security and privacy in grid computing
Security and privacy in mobile systems
Security and privacy in wireless sensor networks
Cyber risk and vulnerability assessment
Cyber-crime and warfare
Cyber threat analysis and modelling
Machine learning for Bluetooth, WiFi, WiMax security
Security and privacy in smart grid and distributed generation systems
Security and privacy in social applications and networks
Cyber forensic tools, techniques, and analysis
Visual analytics for cyber security
Security and privacy of mobile cloud computing
Cyber security testbeds, tools, and methodologies
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