Research Area

Engineering Systems and Intelligent Technologies (ESIT)

Publisher: Scientific Innovation Research Group (SIRG)

Engineering Systems and Intelligent Technologies (ESIT) publishes high-quality research that advance the state of the art in engineering systems design and operation through the responsible integration of intelligent technologies. The journal seeks to publish research that delivers measurable engineering value, supported by rigorous analysis, reproducible evaluation, and system-level validation.. The journal is devoted to publishing high-quality original research, reviews, and methods papers that focus on the design, analysis, optimization, deployment, and operation of engineering systems enhanced by intelligent technologies.

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ESIT particularly encourages submissions in the following research areas:

Engineering Systems

  • Mechanical, Electrical, Civil, Chemical, and Industrial Engineering

  • Systems Engineering, Reliability, Safety, and Risk Engineering

  • Structural, Materials, Environmental, and Energy Engineering

  • Manufacturing Systems and Engineering Design

Intelligent Technologies in Engineering

  • Applied Artificial Intelligence for Engineering Systems

  • Data-Driven Engineering and Digital Twins

  • Control Systems, Automation, and Robotics

  • Embedded Intelligence, Industrial IoT, and Cyber-Physical Systems

Infrastructure, Energy, and Mobility

  • Smart Cities and Intelligent Infrastructure

  • Power Systems, Smart Grids, and Renewable Energy Engineering

  • Intelligent Transportation Systems and Mobility Engineering

Computational and Optimization Methods

  • Engineering Optimization and Operations Research

  • Decision Support Systems and Engineering Analytics

  • Machine Learning Systems (MLOps) for Engineering Applications

Networks, Security, and Communications

  • Secure Engineering Systems and Privacy-by-Design

  • Networked Control Systems and Industrial Communications

  • Wireless, 5G/6G, Edge, and Cloud-Enabled Engineering Systems

Engineering Applications in Health and Environment

  • Biomedical and Clinical Engineering Systems

  • Digital Health Engineering and Medical Systems

  • Environmental, Water Resources, and Sustainable Engineering

ESIT welcomes theoretical, computational, experimental, and applied studies, with particular encouragement for benchmark studies, validated case studies, and research demonstrating deployment or industrial relevance.