Pedro Martin Mateos

Pedro Martin Mateos is an Associate Professor in the Department of Electronic Technology at the School of Engineering, Universidad Carlos III de Madrid (UC3M), Spain. He leads research within the Sensors and Instrumentation Techniques (SIT) group, with expertise spanning multiple disciplines including Biomedical Engineering, Electronics, Optics, and Telecommunications. His academic profile shows continuous research activity with publications through 2024 and research projects extending to 2028.

Dr. Mateos specializes in optical frequency comb technologies and their applications across diverse fields. His research focuses on dual-comb spectroscopy, terahertz and millimeter-wave imaging, and quantum cascade laser systems. He has pioneered non-invasive biomedical diagnostics techniques, particularly for diabetes monitoring using millimeter-wave spectroscopy. His work bridges fundamental photonics with practical applications in medical diagnostics, environmental monitoring, and industrial sensing. The integration of electro-optic technologies with spectroscopic methods represents a consistent theme throughout his research portfolio.

Analysis of his publication record reveals a strategic evolution from fundamental optical technologies toward increasingly applied biomedical and environmental sensing solutions. His most recent work demonstrates significant advancements in portable and field-deployable instrumentation while maintaining theoretical rigor in optical measurement techniques. The consistent publication in high-impact optics journals indicates recognition within the photonics research community.

Dr. Mateos serves as Principal Investigator on multiple major research projects funded by the European Commission, Spanish national agencies, and industry partners. His current portfolio includes projects focused on hydrogen fuel characterization (HyCoTec-CM, 2025-2028), pervasive gas sensing (GASPOF, 2024-2028), and millimeter-wave spectrometry for industrial quality control. These projects demonstrate both the practical relevance and technical sophistication of his research program.

He collaborates extensively across disciplines through the Sensors and Instrumentation Techniques research group, which develops innovative sensing solutions for biomedical applications, environmental monitoring, and industrial process control. His patent portfolio includes hyperspectral imaging technologies and road condition sensors, indicating successful technology transfer from academic research to practical applications.