Modelling and Sensing in Engineering: From Theory to Practice
This special session is organised and supported by academic scholars from the University of Babylon-Iraq.
University of Babylon, Iraq
Session Chair:
- Prof. Mohammed M. Kadhum, University of Babylon, Babylon, Iraq
Session Co-Chair:
- Prof. Laith Ali Abdul-Rahaim, University of Babylon, Babylon, Iraq
Session Committee:
- Prof. Dr Shamam Fadhil Alwash, University of Babylon, Babylon, Iraq
- Prof. Dr Nawras Haidar Mostafa, University of Babylon, Babylon, Iraq
- Asst. Prof. Dr Khalid Safaa, University of Babylon, Babylon, Iraq
Synopsis:
This special issue of DesE2023 explores the pivotal roles of modelling and sensing in engineering science. It showcases cutting-edge modelling techniques and sensing innovations across various disciplines, from structural engineering to environmental monitoring. Throughout the special issue, we delve into interdisciplinary research where modelling and sensing converge. Cross-disciplinary collaborations between engineers, data scientists, and industrial experts are highlighted, emphasizing the potential for synergy and innovation. Topics range from smart cities, electrical engineering and transportation systems to precision agriculture and renewable energy solutions, showcasing the profound impact of modelling and sensing on our rapidly changing world. Join us in uncovering how modelling and sensing are reshaping the landscape of modern engineering practices and inspiring innovation for a sustainable future.
Topics:
This special session welcomes articles focusing on the applications of modelling and sensing in:
- Computational Modeling for Structural Engineering
- Machine Learning and AI in Engineering Simulation
- Sensing Technologies for Smart Cities
- Modelling and Sensors in Electrical Engineering
- Applications of modelling and sensors in construction materials
- Remote Sensing and Modelling for Environmental Monitoring
- Sensing and modelling in the Biomedical Engineering
- Autonomous Systems and Robotics
- Energy Modeling and Sensing
- Data Analytics
- Modeling and Sensing in Emerging Technologies
- Smart Mechanical Engineering
- Modelling and Sensors in Water Management
Paper Submission
Prospective authors are invited to submit full-length papers (not exceeding 6 pages) conform to the IEEE format . All papers will be handled and processed electronically via the EDAS online submission system.