ICCTA 2026: International Conference on Computing : Theory and Applications

ICCTA 2026: International Conference on Computing : Theory and Applications highlights theoretical advances and practical applications in computing, covering areas from algorithms and machine learning to signal processing and language technologies.

Key Topics

• Natural language processing
• Data mining and Knowledge Discovery
• Fuzzy logic
• Computational geometry
• Computational stylistics
• Document analysis
• Speech synthesis, analysis and recognition
• Experimental algorithm methodologies
• Digital libraries
• High performance computing
• Machine translation
• Mobile and wireless computing
• Computational biology
• Bayesian Networks
• Embedded systems and fpgas
• Feature selection/extraction
• Steganography
• Support Vector Machines
• Low power design
• Parallel and distributed algorithms
• Text summarization
• Graph algorithms
• Neuro-informatics
• Web Intelligence
• Text recognition
• Classification
• Biometrics
• Hybridized approaches
• Ad hoc and sensor networks
• Bio-informatics
• Uncertainty analysis
• Case Based Reasoning
• Decision trees
• Postal automation
• Combinatorial optimization
• Testing and testability
• Artificial Neural Networks
• Computational Biology
• Information retrieval and extraction
• Symbolic data analysis
• Evolutionary computing
• Language resource development
• Algorithms and data structures
• Handwriting recognition
• Speech synthesis, analysis and recognition
• Question answering
• Physical design
• Network topology
• Synthesis for quantum computing
• Signal processing
• Approximation and randomized algorithms
• Algorithmic cad for vlsi nanotechnology
• Rough Sets
• Graphics recognition
• Combinatorial optimization
• Morphology and phonology

Who should Attend

• AI and machine learning practitioners
• Data scientists and analysts
• Computer science researchers
• Software developers
• Natural language processing experts
• Information retrieval specialists
• Graduate students in computing
• Signal processing engineers
• Embedded systems designers
• Academics in theoretical computing
• Digital library professionals
• Engineers in high performance computing