Aims & Scope

Machines and Algorithms is a double-blind peer-reviewed and open access triannual academic research journal serving the broad computing, engineering, and biomedical communities. The journal aims to cover topics in various sub-disciplines of computational data science, engineering science, and biomedical informatics. It also welcomes research on emerging trends in computing technologies that address pertinent challenges. Special emphasis is placed on novel algorithms, advancements in machine intelligence, and data-driven approaches, along with their applications across various scientific and industrial domains.

The journal serves as a comprehensive platform for publishing high-quality, peer-reviewed research that explores all aspects of computation, from foundational theories to real-world applications. We welcome contributions from researchers, practitioners, and educators across disciplines, emphasizing interdisciplinary collaboration and the impactful integration of computation into various fields of science, technology, and society. Through its broad scope, the journal aspires to be a hub for innovation, fostering the exchange of ideas that drive progress in computational research and applications.

Scope of the Journal

The journal covers all theoretical and applied computer science and information technology aspects. Topics of coverage include but are not limited to the following:

Core Areas of Computation

  • Algorithms and data structures
  • Theoretical computer science and computational complexity
  • Parallel, concurrent, and distributed computing
  • High-performance computing and cloud computing
  • Quantum computing

Emerging Technologies and Methodologies

  • Artificial intelligence, machine learning, and deep learning
  • Blockchain and distributed ledger technologies
  • Internet of Things (IoT) and edge computing
  • Robotics and autonomous systems
  • Augmented reality (AR), virtual reality (VR), and computational graphics

Interdisciplinary Applications

  • Computational biology, bioinformatics, and biomedical informatics
  • Computational physics and chemistry
  • Digital humanities and computational social sciences
  • Computational finance and economics
  • Healthcare, medical imaging, and health informatics
  • Smart cities, sustainability, and environmental science

Systems and Software

  • Software engineering and programming languages
  • Operating systems and systems architecture
  • Database systems, management, and big data analytics
  • Cybersecurity, cryptographic systems, and data privacy
  • Computer networks and network security

Additional Areas of Interest

  • Computer vision, image processing, and pattern recognition
  • Natural language processing and knowledge representation
  • Information retrieval, information and coding theory
  • Simulation, modeling, and scientific computing
  • Deduction, reasoning, and problem solving
  • Human-computer interaction and user experience
  • Theory of computation

Computational Ethics and Society

  • Responsible AI and ethical computing
  • Computational approaches to societal challenges
  • Policies and regulations for emerging technologies