Aim AJ-AHEC aims to promote high-impact research in algorithms, AI, and emergent computational models. We strive to provide a bridge between the natural sciences, engineering, and social sciences through the lens of advanced computation.

Scope We welcome original research, reviews, and perspective pieces in the following areas:

Algorithmic Theory: Approximation, randomized, distributed, and parallel algorithms.

AI & Machine Learning: Deep learning, explainable AI, reinforcement learning, and algorithmic fairness.

Emergent Computation: Complex systems, swarm intelligence, multi-agent systems, and self-organization.

Bio-Inspired Computing: Evolutionary algorithms, neural networks, and nature-inspired models.

New Horizons: Quantum algorithms, neuromorphic architectures, and DNA computing.

Data-Driven Computing: Big data algorithms, blockchain, and cloud-edge computing.

Applications: Robotics, smart cities, bioinformatics, and computational finance.