14th International Conference on Foundations of Computer Science & Technology (FCST 2026) serves as a premier forum for presenting ground breaking theoretical advances, novel computational models, and foundational research that deepen our understanding of the principles underlying computer science and intelligent systems.

FCST 2026 invites high quality submissions that contribute to the mathematical, conceptual, and theoretical foundations of computing. Authors are encouraged to submit original research papers, survey articles, and significant theoretical developments that advance the state of knowledge in the following areas, including, but not limited to:

Theoretical Computer Science

• Algorithms & Complexity Theory

• Approximation Algorithms & Randomized Algorithms

• Computational Geometry

• Computational Learning Theory

• Quantum Algorithms & Quantum Complexity

• Automata Theory, Formal Languages & Computability

• Logic in Computer Science

• Proof Complexity & Interactive Proof Systems

• Cryptographic Foundations & Secure Computation Theory

Foundations of Artificial Intelligence & Machine Learning

• Statistical Learning Theory

• Optimization Theory for Machine Learning

• Generalization, Robustness & Sample Complexity

• Foundations of Deep Learning

• Causal Inference Theory

• Neuro Symbolic Reasoning Models

• Probabilistic Reasoning & Graphical Model Theory

• Explainability, Interpretability & AI Safety Theory

Mathematical Foundations of Computing

• Discrete Mathematics & Combinatorics

• Information Theory & Coding Theory

• Game Theory & Mechanism Design in Computing

• Category Theory in Computer Science

• Algebraic & Topological Methods in Computing

Programming Languages & Formal Methods

• Type Theory & Semantics

• Formal Verification, Model Checking & Correctness Proofs

• Program Synthesis Theory

• Logic Programming & Constraint Solving

• Foundations of Concurrent & Distributed Computation

Computational Models & Emerging Paradigms

• Quantum Information Theory

• DNA, Molecular & Biological Computing Models

• Morphic & Unconventional Computing

• Reversible Computing

• Theoretical Aspects of Neuromorphic Computing

Foundations of Data, Knowledge & Reasoning

• Knowledge Representation Theory

• Reasoning Under Uncertainty

• Semantic Foundations & Ontological Reasoning

• Symbolic AI & Automated Theorem Proving

Mathematical Foundations of Vision, Language & Perception

• Computational Linguistics Theory

• Theoretical Models of Vision & Perception

• Pattern Recognition Theory

• Information Theoretic Approaches to Vision & Language

Emerging Foundational Topics

• AI Alignment Theory

• Foundations of Multi Agent Systems

• Ethical, Societal & Philosophical Foundations of Computing

• Theoretical Perspectives on Generative Models

• Limits of Computation & Future Directions in CS Theory