Original unpublished contributions are solicited for presentation at the International Conference on Cognitive Informatics & Soft Computing (CISC-2024). Papers cannot be submitted in parallel to any other conference or journal. All papers shall be tested for similarity/Plagiarism with acceptable limit of 20%.

Original papers are invited from multidisciplinary perspectives on subject areas including, but not limited to, the following:

Track-1 :Cognitive Informatics

• Informatics models of the brain
• Cognitive processes of the brain
• Internal information processing mechanisms
• Machine consciousness
• Neuroscience foundations of information processing
• Denotational mathematics
• Knowledge representation
• Autonomous machine learning
• Neural models of memory
• DNA and genome modelling
• Brain information processing
• Cognitive linguistics
• Cognitive complexity and metrics
• Bioinformatics
• Neural signal modeling
• Emotions/motivations/attitudes
• Cognitive sensors and networks
• Cognitive information fusion

Track-2 :Cognitive Computing

• Cognitive computers
• Cognitive robotics
• Autonomous Computing
• Knowledge processors
• Cognitive semantics of big data
• Cognitive machine learning
• Knowledge manipulations
• Pattern recognition
• Cognitive agent technologies
• Cognitive inferences
• Computing with words (CWW)
• Cognitive decision theories
• Concept & semantic algebras
• Fuzzy/rough sets/logic

Track-3 :Computational Intelligence

• Cognitive computers
• Cognitive systems
• Cognitive man-machine communication
• Cognitive Internet
• World-Wide Wisdoms (WWW+)
• Mathematical engineering for AI
• Cognitive vehicle systems
• Semantic computing
• Distributed intelligence
• Mathematical models of AI
• Cognitive signal processing
• Cognitive image processing
• Artificial neural nets
• Genetic computing
• MATLAB models of AI

Track-4 :Intelligent Health Informatics

• AI in Drugs and Vaccines Development.
• Big Data and Healthcare.
• Bioinformatics and Biostatistics.
• COVID-19 Impact on Health Informatics.
• Emerging Technologies in Health Informatics.
• Health Information Systems.
• Knowledge Management in Healthcare.
• Machine Learning in Healthcare.
• Medical Image Processing and Techniques.
• Medical Robots.

Track-5 :Pervasive Computing and Internet of Thing

• Internet of Things, Everything and Nano-Things
• Location-dependent/Personalized Application
• System Architectures and Platforms
• Embedded Computing with Applications
• Low Power, Energy-Aware Pervasive Computing
• Smart Devices
• Spaces and Objects
• Middleware Services and Agent Technologies
• Positioning and Tracking Technologies
• Intelligent Devices and Environments
• User Interfaces and Interaction Models

Track-6 :Advanced Computing

• Artificial Intelligence and Machine Learning;
• Computer Architecture and VLSI;
• Computer Graphics- Simulation and Modeling;
• Data Management-Exploration and Mining;
• Digital System and Logic Design;
• Pattern Recognition and Analysis;
• Robotics and Machine Vision;
• Systems and Software Engineering;
• Computational Intelligence;
• Signal and Image Processing;
• Reconfigurable Computing;
• Biomedical Computing, Bioinformatics;
• Green Computing; Mobile Computing;
• Ubiquitous Computing;
• Cryptography and Applied Mathematics
• Applications of Big Data Analytics.
• Chatbot and Conversational Applications.
• Cloud Computing.
• Deep Learning.
• Evolutionary Algorithms.
• Internet of Things (IoT).
• Natural Language Processing (NLP).
• Neural Language Modelling.
• Neural Networks.

Track-7 :Hybrid Intelligent Models and Applications

• Ant Colony for Neural Network Optimization;
• Chaos Theory in Genetic Algorithms;
• Genetic Algorithm for Fuzzy System Optimization;
• Genetic Algorithms for Hybrid Intelligent Systems Design;
• Genetic Algorithms for Neural Network Optimization;
• Genetic Fuzzy Systems;
• Genetic Neural Systems;
• Hybrid Evolutionary Algorithms;
• Hybrid Modular Neural Networks;
• Hybrid optimization techniques;
• Neuro-Fuzzy-Genetic Approaches;
• Nature-inspired Smart Hybrid Systems;
• Neuro-Fuzzy Models and Applications;
• Hybrid Intelligent Systems for Pattern Recognition & Data Mining, Statistics and Soft Computing.