5th International Conference on Cognitive Information and Soft Computing(ICCISC-2026) (10th - 11th January 2026)
Call for Papers
Original unpublished contributions are solicited for presentation at the International Conference on Cognitive Informatics & Soft Computing (CISC-2024).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:
(Tentative) list of topics/sessions
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