

Antony Morales-Cervantes
Division of Graduate Studies and Research, Instituto Tecnológico de Morelia - TecNM
<p>Antony Morales-Cervantes is a postdoctoral researcher at the Division of Graduate Studies and Research at Instituto Tecnológico de Morelia - TecNM, Mexico. He received his PhD in Electronic Engineering from the Universidad Autónoma de San Luis Potosí in 2019. His research specializes in experimental design and machine learning applications for biomedical and industrial systems, integrating infrared thermography (IRT) with embedded systems, signal processing, and artificial intelligence. His work spans applications ranging from materials characterization to physiological signal monitoring.</p><p>He collaborates actively with interdisciplinary teams and mentors graduate students in smart sensing, image-based diagnostics, and thermal data analysis. In addition to authoring several peer-reviewed articles in indexed journals, he is committed to fostering future scientific vocations through academic outreach. He organizes workshops on thermography and data-driven research, especially for children, with the aim of making science accessible and inspiring from an early age. His work focuses on developing reproducible methodologies that bridge engineering, data processing, and health sciences through non-invasive sensing technologies.</p>

Gerardo Marx Chávez-Campos
Division of Graduate Studies and Research, TecNM Instituto Tecnológico de Morelia
<p>Gerardo Marx Chávez-Campos is a professor and researcher in the Graduate Program in Electronic Engineering at TecNM – Instituto Tecnológico de Morelia (ITM), Mexico. As a faculty member at ITM, he specializes in embedded systems, microcontrollers, programming, data science, Linux systems, and electronic design. His expertise is applied to interdisciplinary research in electrochemical systems, parameter estimation, image processing, software development, and bioengineering.</p><p>He actively participates in international collaborations with institutions such as Óbuda University (Hungary), Universidad de Sevilla (Spain), Inatel (Brazil), and Jade University of Applied Sciences (Germany). He is also involved in national initiatives through the SEDEAM National Laboratory and serves within the IEEE Industrial Applications Society (IAS). He leads research projects in the master’s and doctoral programs and supervises graduate theses. His academic work emphasizes the integration of open-source technologies, reproducible methodologies, and real-time monitoring systems across biomedical, industrial, and environmental domains.</p>
Infrared thermography (IRT) has emerged as a non-invasive, contactless, and real-time technique for capturing thermal patterns across physical, biological, and engineered systems. Its flexibility and sensitivity to surface temperature variations make it a powerful tool in industrial inspection, biomedical diagnostics, material characterization, energy analysis, and agricultural monitoring.
This Methods Collection aims to bring together innovative and reproducible experimental procedures that integrate IRT into multidisciplinary applications. We welcome contributions that showcase thermographic methodologies in any of the following contexts: early disease detection, physiological monitoring, fatigue or failure analysis in materials, thermal imaging in environmental systems, animal studies, sports science, non-destructive testing, and smart sensing platforms. Articles that combine IRT with data analysis tools, machine learning, or signal processing pipelines are also encouraged, as well as those that provide reproducible workflows for calibration, segmentation, or temperature extraction from thermal images.
The collection will prioritize methodological rigor, clarity of experimental setup, and the potential for replication and adaptation in other fields. We invite authors to submit practical protocols, from basic IRT acquisition setups to advanced integrations with sensors, embedded systems, or diagnostic software. By offering a cross-disciplinary perspective, this collection aims to serve as a reference for researchers, educators, and engineers who wish to incorporate infrared thermography into their work.
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2026
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2026
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Performance optimization of 3000 series brushless motors by performing a correlational analysis of variables (temperature, power, and thrust).
CARLOS ALBERTO GUIZAR GOMEZ*1
1Tecnológico Nacional de México / Instituto Tecnológico de Morelia
Optimizing Thermal Performance in a Hybrid Solar Dehydrator for Sustainable Food Preservation: A Thermographic and Simulation-Based Approach
Juan Cristobal Camacho Arriaga1,
Daniel Cahue Diaz*1,
Rafael Lara Hernandez1,
Carlos Alberto Guizar Gomez2
1Tecnológico Nacional de México,
2Tecnolópgico Nacional de México