Design and analysis of algorithms, computational complexity, optimization, approximation methods, scheduling, and resource allocation.

Machine learning, neural networks, reasoning systems, foundation models, intelligent agents, and new AI architectures.

Data architectures, information retrieval, search and ranking systems, semantic technologies, knowledge graphs, vector databases, and large-scale data processing.

Architecture of intelligent systems, distributed and cloud-native computing, software systems, and scalable infrastructure design.

Quantum algorithms, quantum information, quantum optimization, hybrid quantum-classical computing, and applications of quantum systems.

Numerical methods, mathematical modelling, symbolic computation, optimization, and computational approaches to mathematical problems.

Graph algorithms, graph neural networks, knowledge graphs, network science, and graph-based reasoning.

High-performance computing, simulations, numerical experiments, and computational methods for science and engineering.

Emergent behaviour, dynamical systems, multi-agent systems, process modeling and simulation, and computational modelling of complex phenomena.

Experimental computing paradigms, decision-support algorithms, and research into new approaches to computation.