AIM

To publish high-quality original research and comprehensive reviews across all fields of computing.
This includes classical, quantum, internet-based, and emerging computational paradigms.
The journal promotes interdisciplinary studies linking computing with science, medicine, economics, politics, and sustainability. We encourage innovative solutions that address global challenges and advance technology. Our mission is to foster open knowledge sharing and drive the future of computing worldwide.

Scope:

The journal covers a wide range of topics, including but not limited to:

1. Quantum computing

Ø Quantum Information Theory and Foundations

Ø Quantum Algorithms and Computational Complexity

Ø Quantum Hardware Architectures and Technologies

Ø Quantum Software Development and Programming Frameworks

Ø Quantum Error Correction, Fault Tolerance, and Security

Ø Applications of Quantum Computing: Simulation, Machine Learning, and Communication

2. Multidisciplinary Perspectives on Internet and Network Computing

Ø Cloud and Edge Computing Architectures

Ø Internet of Things (IoT) Integration and Computing

Ø Distributed, Parallel, and Network Computing

Ø Cybersecurity and Privacy in Internet Systems

Ø Big Data Analytics and Internet-based Data Processing

Ø Web Services, APIs, and Microservices

Ø Content Delivery Networks and Performance Optimization

Ø Blockchain and Decentralized Internet Computing

3. Computational Advances in Electronics and Communication Networks

Ø Advanced Processor Architectures for Electronics and Communications

Ø Low-Power and Energy-Efficient Computing Systems

Ø Embedded and Real-Time Computing Technologies

Ø Signal Processing and Computational Methods in Communications

Ø Reconfigurable and FPGA-Based Computing

Ø AI and Machine Learning Accelerators for Communications

Ø Quantum Computing Applications in Electronics and Communications

Ø Network Computing and Communication Protocol Optimization

4. Research Frontiers in Computing for Electrical Power and Condition Management

Ø Computational Methods in Power Conversion Systems

Ø Smart Control Algorithms for Power Electronics

Ø Real-Time Monitoring and Condition Assessment of Power Devices

Ø Predictive Maintenance and Fault Diagnosis Using Computing

Ø Optimization Techniques in Power Generation and Distribution

Ø AI and Machine Learning for Power System Control

Ø Simulation and Modeling of Electrical Power Systems

Ø Embedded Computing in Renewable Energy Systems

5. Advanced Computing Applications in Mechanical and Civil Systems

Ø Computational Fluid Dynamics (CFD) and Heat Transfer Simulations

Ø Finite Element Analysis (FEA) for Structural and Thermal Systems

Ø Digital Twin and Smart Manufacturing Systems

Ø AI and Optimization in Mechanical Design and Control

Ø Structural Health Monitoring and Damage Detection using Computing

Ø Building Information Modeling (BIM) and Digital Construction

Ø Geotechnical and Environmental Modeling

Ø Smart Infrastructure and IoT-based Civil Systems

6. Research Frontiers in Computational Biotechnology

Ø Bioinformatics and Computational Genomics

Ø Systems Biology and Network Modeling

Ø Computational Drug Discovery and Molecular Modeling

Ø Machine Learning and AI in Biomedical Data Analysis

Ø Modeling and Simulation of Biological Processes

Ø Computational Tools for Synthetic Biology and Genetic Engineering

Ø Biomedical Image Processing and Pattern Recognition

Ø High-Performance and Cloud Computing for Biotech Applications

7. Advanced Computing for Economic Modeling and Forecasting

Ø Computational Economics and Economic Modeling

Ø Agent-Based Modeling in Economic Systems

Ø Machine Learning and AI in Financial Forecasting and Economic Prediction

Ø Big Data Analytics in Economics and Market Behavior

Ø Algorithmic and High-Frequency Trading Systems

Ø Computational Game Theory and Decision Modeling

Ø Blockchain, Cryptoeconomics, and Digital Currencies

Ø Simulation and Optimization in Economic Policy and Planning

8. Computing and the Future of Global Governance

Ø Computational Political Science and Modeling of Political Systems

Ø Big Data Analytics in International Relations and Global Policy

Ø Social Media Analysis for Political Sentiment and Influence

Ø AI and Machine Learning in Electoral Forecasting and Political Behavior

Ø Cybersecurity, Cyberwarfare, and Political Conflict Modeling

Ø Simulation and Agent-Based Modeling in Geopolitics

Ø Digital Diplomacy and Computational Approaches to Global Governance

Ø Ethics, Bias, and Disinformation in Political Computing