Machine Learning Applications in Sensor Science and Technology 

Sensors International is pleased to announce a special issue focused on "Machine Learning Applications in Sensor Science and Technology." As sensor technology rapidly advances, integrating machine learning (ML) is transforming the field by enhancing sensor capabilities, improving data analysis, and enabling new applications. This special issue aims to capture the forefront of research where ML techniques intersect with sensor technology, driving innovation and solving complex challenges across various domains. Contributions will highlight how ML methodologies are applied to sensor design, data interpretation, and system optimization, showcasing the potential for these technologies to revolutionize industries and scientific research.

Topics Covered:

• MEMS/NEMS Sensors: ML methods for optimizing design and functionality.
• Physical Sensors: Applications in temperature, mechanical, and optical sensors.
• Chemical and Gas Sensors: Enhancements through ML for improved sensing technologies.
• Medical Sensors: ML applications for diagnostics and monitoring.
• Microfluidics and Biosensors: Innovations driven by ML techniques.
• Bionic Sensors: Advances in sensor capabilities through ML.
• CMOS and IR Image Sensors: ML applications in sensor development and optimization.
• RF, Terahertz, and Infrared Sensors: ML-driven advancements in these sensing technologies.
• Sensor Materials: ML techniques for exploring 2D materials and flexible materials.
• Climate Change Sensors: Using ML to improve climate monitoring and environmental impact assessments.

Important Deadlines:

• Submission deadline: 31^st March 2025

Guest Editors:

• Dr Ayesha Sohail, School of Mathematics and Statistics, The University of Sydney, Australia. Email: sohail@sydney.edu.au;
• Prof Cemil Tunc,Department of Mathematics, Faculty of Sciences, Van Yuzuncu Yil University, 65080, VAN-TURKEY. Email: cemiltunc@yyu.edu.tr
• Farid Chighoub, Prof. of Mathematics; univ-biskra Algeria. Email: chighoub@univ-biskra.dz
• Prof A. M. Siddiqui, Department of Mathematics, York Campus, Pennsylvania State University, York, USA; Email: ams5@psu.edu;