About the Journal

Advances in Computational and Applied Sciences (ACAS) is an international, peer-reviewed, open-access journal dedicated to publishing high-quality, original research and insightful reviews at the dynamic intersection of computational theory and practical applications. Given the profound impact of computational methodologies, ACAS provides an international platform to exchange novel research results, including algorithms, models, systems, and real-world applications, across all scientific disciplines. It publishes advanced, interdisciplinary research solving complex multi-scale, multi-domain problems in science and engineering through the integration of innovative methods, computation, data, networks, and novel devices. The journal welcomes original, high-quality contributions across computational and applied sciences that address one or more of the aforementioned elements.

ACAS welcomes original research articles, review articles, short communications, and focused perspective within the broad spectrum of computational and applied sciences. Topics of interest include, but are not limited to:

Computational Core:

  • Novel Algorithms & Data Structures
  • Computational Modeling & Simulation
  • High-Performance Computing (HPC) & Parallel/Distributed Systems
  • Cloud, Edge, and Quantum Computing
  • Computational Complexity & Theory
  • Numerical Analysis & Scientific Computing

Artificial Intelligence & Data Science:

  • Machine Learning (Deep Learning, Reinforcement Learning, etc.)
  • Artificial Intelligence (Knowledge Representation, Reasoning, NLP, Computer Vision, Robotics)
  • Data Mining, Knowledge Discovery & Big Data Analytics
  • Data Visualization
  • Statistical Computing & Probabilistic Modeling

Computational Sciences:

  • Computational Biology & Bioinformatics
  • Computational Chemistry & Materials Science
  • Computational Physics & Astrophysics
  • Computational Engineering (Fluid Dynamics, Structural Mechanics, Electromagnetics, etc.)
  • Computational Social Science & Digital Humanities
  • Computational Finance & Economics
  • Computational Medicine, Healthcare & Biomedical Informatics
  • Computational Environmental Science & Sustainability
  • Computational Geoscience & Remote Sensing
  • Computational Optimization & Operations Research

Systems & Applications:

  • Computer Systems Architecture & Performance
  • Networking & Communication Systems
  • Database Systems & Information Retrieval
  • Security, Privacy & Cryptography
  • Software Engineering for Scientific Computing
  • Human-Computer Interaction (HCI) & Visualization Systems
  • Cyber-Physical Systems & Internet of Things (IoT)
  • Signal & Image Processing

Emerging Areas:

  • AI for Science (AI4Science)
  • Computational Sustainability & Climate Informatics
  • Computational Neuroscience & Cognitive Modeling
  • Explainable AI (XAI) & Trustworthy AI
  • Digital Twins & Virtual Prototyping

ACAS prioritizes work that demonstrates both computational novelty (e.g., new algorithms, significant efficiency gains, novel models) and/or significant applied impact (e.g., solving previously intractable problems, enabling new scientific discoveries, leading to tangible technological advancements). It seeks to serve as a central hub for scholars, practitioners, and policymakers to share innovative insights spanning computational and applied sciences.