José A. García-Souto received the degree in Telecommunication Engineering from the Universidad Politécnica de Madrid (UPM), in 1995 and the Ph.D. from the Universidad Carlos III de Madrid (UC3M), in 2003. Since 2004, he has been an Associate Professor in the Electronics Technology Department of UC3M.

He has led several projects focused on the detection of acoustic emissions with fiber optic sensors, and on instrumentation and measurements in harsh environments, particularly large transformers and wind turbines. He started his research on fast interrogation of FBG and non-contact optical measurement systems in collaboration with Prof. David A. Jackson.

He is a member of the precompetitive academic unit on Disruptive Technologies in Biomedicine and also joined the UC3M4Safety team in 2017. He has been the Head of the Department (2011 – 2015) and Deputy Vice Chancellor of Strategy and Digital Education of UC3M (2015 – 2019). He is a member of IEEE, IMS, AESS.

His current research interests are optical sensors and instrumentation for safety and security, industrial and aerospace applications.

e-mail: jsouto@ing.uc3m.es

Full Professor at Universidad Carlos III de Madrid and leader of the Sensor and Instrumentation Techniques Research Group at the Electronic Technology Department. His research interests and experience range from the development of advanced optical sources (Optical Frequency Combs and Dual Optical Frequency Combs) to the implementation of novel spectroscopic techniques with applications in fields like biomedicine, environmental engineering, and military applications.

Especially important is his activity in the development of biomedical diagnostics, like an instrument for the early detection of vascularization in engraftments with applications in tissue engineering and a non-invasive system for the measurement of sustained states of hyperglycemia.

Finally, it is worth mentioning his leadership in knowledge transfer activities, where he has lead contracts with different companies such INDRA, AIRBUS D&S, LWL, SEAC, …; especially exploiting the military applications of the developed optical sources.

He was also co-founder of the spin-off Luz WaveLabs (www.luzwavelabs.com), which commercially exploits most of his developments in the photonic synthesis of THz and pulsed optical sources.

e-mail: pag@ing.uc3m.es

Marta Ruiz-Llata is a Professor in the Department of Electronic Technology at the University Carlos III of Madrid (UC3M, Spain) since 2010, where she also received the degree of “Ingeniera Industrial” in 1998 and the PhD degree in Electrical, Electronics and Automation Engineering in 2005. During her PhD she spent 7 months as visiting student with the Photonic Systems Laboratory at MIT, where she learned about holographic optical interconnections and optoelectronic neural network co-processors.

In September 2019 she joined the Precision Laser Diagnostics group at CU Boulder for one year during her sabbatical leave from UC3M, where she learned about dual-comb spectrometers and their application to make measurements in combustion and atmospheric processes.

Her research interests are focused on the development of optical sensors for industrial and environmental applications and the investigation of machine learning algorithms with application in instrumentation systems.

She has experience on interferometry, infrared and mid-infrared absorption spectroscopy, photoacoustic spectroscopy, and LiDAR systems.

e-mail: mruizl@ing.uc3m.es

Pedro Martín-Mateos was appointed associate professor in the Department of Electronic Technology at UC3M in 2015.

His research interests focus on the development of new laser-based spectroscopic techniques for analytical chemistry, environmental monitoring and biomedical research.

Currently, he is working to extend the field of application of dispersion and comb-based spectroscopy, on the development of new THz spectrometers, on the performance enhancement of laser heterodyne radiometers for atmospheric sounding and on high resolution hyperspectral imaging.

e-mail: pmmateos@ing.uc3m.es

Cristina de Dios, a tenured associate professor at Carlos III University of Madrid, is part of the Sensors and Instrumentation Techniques Group (SITec), and is specialized in photonic sources and sensing architectures.

Her doctoral work initiated a new research line in optical pulse and frequency comb generation, advancing gain-switching optical combs, ultrafast photonic devices, and dual-comb spectroscopy.

She has published over 40 JCR articles, holds three international patents, and leads notable projects like PARAQUA and the EPIQ Chair. Cristina has also supervised award-winning doctoral students and collaborated with leading institutions across Europe and Spain.

In addition to academia, Cristina has significant experience in technology transfer. From 2020 to 2023, she served as Head of Photonics and Quantum Technologies at Arquimea Research Center, managing a team of 20 and leading projects like the €15M QCircle under Horizon Europe. Previously, she co-founded Luz WaveLabs (2013–2019), a spin-off focused on photonics and terahertz technologies, securing public and private funding.

Her career blends impactful research, leadership in industry-academic collaborations, and scientific entrepreneurship. Recently, she was appointed Director of the PERTE Chair EPIQ. promoting advancements in photonics, integrated electronics, and quantum technologies in collaboration with the industry.

e-mail: cdios@ing.uc3m.es

Aldo Moreno-Oyervides holds a Bachelor’s degree in Electronics Engineering (with honors) from the National Technological Institute of Mexico (2012). He obtained a master’s degree in Mathematical Engineering (2016) and a Ph.D. in Electrical, Electronic, and Automation Engineering (2020) from Universidad Carlos III de Madrid (UC3M), both of which were fully funded through competitive scholarship programs. His doctoral thesis was awarded the highest distinction (Cum Laude), the International PhD Distinction, and the Outstanding Thesis Award. It focused on the in vivo and non-invasive monitoring of sustained hyperglycemia using millimeter-wave spectroscopy. His research included experimental validation from animal models to clinical trials, as well the integration of advanced statistical techniques for analyzing and interpreting spectral data into developing and optimizing the applied spectroscopic approach.

He has completed two fully funded research stays: one at the Research Center for the Modeling of Random Phenomena (CIMFAV) in Valparaíso, and one at the Chemical Analysis and Vibrational Spectroscopy Group (CAVS) at TU Wien. The CIMFAV stay was supported by the Santander Ibero-America Research Grant, and the CAVS stay was supported by UC3M’s Researcher Mobility Program.

He is currently conducting research with the Sensors and Instrumentation Techniques (SITec) group in the Department of Electronic Technology at UC3M, where he also completed his postgraduate studies. He actively participates in multiple regional, national, and European projects focusing on developing specialized technologies based on optical sensors and spectroscopic techniques for the real-time monitoring of compounds that are relevant to biomedicine, the environment, and industry. The synergy of his research interests constitutes the core of his contribution to these projects and includes designing and implementing optical systems and novel spectroscopic architectures, as well as developing algorithms based on advanced statistical methods and machine learning for processing, analyzing, and modeling spectral data, including generating predictive models.

e-mail: aldmoren@ing.uc3m.es

José Ramón López obtained his Industrial Engineer degree from the Universidad Carlos III de Madrid (1997) and, since 2002, he is an associate professor at the same University.

He has more than 10 years of experience in embedded systems development and signal processing, having designed data acquisition and processing hardware for onboard systems for defense and aeronautics companies in Spain.

His research interests are related to embedded signal processing (using DSP and FPGA) and optimization of algorithms for instrumentation.

e-mail: jrlopez@ing.uc3m.es

Oscar E. Bonilla-Manrique is an Assistant Professor at the Department of Electronic Technology at Universidad Carlos III de Madrid (UC3M, Spain) and a researcher in the Sensor and Instrumentation Techniques Research Group of the Department of Electronic Technology.

He received his Ph.D. cum laude in Electrical, Electronic and Automation Engineering from Universidad Carlos III de Madrid (UC3M) in 2020.

He has been a visiting researcher at the Institute of Chemical Technologies and Analytics (Technische Universität Wien) on two occasions. He was born in Neiva (Huila, Colombia) in 1988.

He received the degree in Electronic Engineering in 2008 from the National University of Colombia in Bogota, he was the best average grade. He received the Master’s degree in Telecommunications Engineering and Electronic Systems Engineering both from Universidad Carlos III, Leganés, Spain, in 2015.

He has worked in different national and international research projects, where devices and architectures have been developed for detection and quantification of compounds in different areas.

His research interests are focused on the development of optical sensors, measurement systems for industrial applications, analytical chemistry and environmental monitoring based on spectroscopy techniques such as photothermal, wavelength modulation, scattering, phase detection and absorption spectroscopy in the near and mid-infrared. In addition, in the development of electro-optical frequency comb sources for the optical measurement of thicknesses and different gas traces.

It is currently working on the design and characterization of different optical sensors and devices for the detection of environmental pollutants and combustion products. Also, it seeks to expand the field of application of the photothermal effect and Dual-comb, seeking the development of a new architecture for PTS_Dual-comb, improving performance, portability and high sensitivity. At the same time, it is integrating artificial intelligence (AI) techniques to improve the figures of merit of different spectroscopy systems.

e-mail: obonilla@ing.uc3m.es

Assistant Professor at Universidad Carlos III de Madrid and member of the group Sensors and Instrumentation Techniques. Phd in Electronic Engineering in 2023 at University of Alcalá.

Her main lines of research focus on the development and optimization of optical frequency combs using integrated photonic circuits and semiconductor lasers, with applications in spectroscopy and high resolution hyperspectral imaging for biomedical diagnostics, environmental monitoring and industrial processes.

e-mail: lmonroy@ing.uc3m.es

I have a degree in Optics and Optometry from the University of Granada and a Master’s degree in Optical and Imaging Technologies from the Complutense University of Madrid.

My final master´s project focused on the characterisation of a white light interferometric microscope. I have a strong interest in optical methods, optical metrology interferometry or optical systems design.

I am currently collaborating on the research and development of new instrumentation systems and spectral processing techniques for atmospheric CO2 determination. The goal is to evaluate the atmospheric situation and obtain the vertical profile of gas concentration.

e-mail: adcollad@pa.uc3m.es

Daniel Moreno París is a researcher and PhD student at Universidad Carlos III de Madrid. His research focuses on the development of advanced sensing technologies and specialized algorithms for the processing and analysis of spectra applied to the characterization of materials. He is currently working on an innovative project for production monitoring in the paper industry, replacing radioactive sensors by the combination of photonic architectures and data processing with Machine Learning techniques, thus contributing to the optimization of the industrial process.

He has a degree in Mechanical Engineering from Universidad Carlos III de Madrid and a 2-year Master in Robotics Engineering from Aalborg Universitet (Denmark), where he specialized in simulation and reinforcement learning. He has participated in several research projects such as ASIR (Autonomous Sewer Inspection Robot) at Aalborg Universitet, where he worked on the development of an autonomous mobile robot for inspection (SLAM and deficiency detection) in extremely harsh environments or AGROBOTS at Universidad Rey Juan Carlos, exploring coordination methods in multi-agent systems and digital twins for agricultural robots.

In the industrial field, he has worked on the construction of a test bench for electric motors up to 40 kW at Airflight ApS (Denmark), a start-up where they develop one of the largest drones in the world. His background also includes roles in companies such as Daikin AC, where he was in charge of setting up the control and monitoring of air conditioning systems in industrial facilities. His research interests include artificial intelligence and its applications in the field of robotics and automation.

e-mail: danmoren@pa.uc3m.es

Olaoluwa is a researcher and PhD student at Universidad Carlos III de Madrid. His research focuses on the development of advanced optical fiber sensing techniques, particularly in distributed refractive index and acoustic measurement using fiber-optic sensors and tunable optical frequency combs. His work aims to develop high-sensitivity fiber-optic instrumentation systems based on grating sensors for detecting substances, biomarkers, and gases through refractive index sensing, as well as for distributed acoustic sensing applications.

Olaoluwa holds an MSc in Photonics Engineering from Universidad Carlos III de Madrid, where he conducted research on optical frequency combs for long-period grating sensors. He previously earned a B.Eng in Telecommunication Engineering from the Federal University of Technology, Minna, Nigeria. His academic background includes expertise in optics, photonics, and digital communication networks.

He has over three years of experience in electrical and electronic systems maintenance. He has also worked as a support staff member, assisting professors in coordinating laboratory sessions. His research interests include fiber-optic sensors, optical instrumentation, and the integration of photonic architectures with emerging technologies.

e-mail: oolayemi@ing.uc3m.es

Since 1999, I have been working as a senior network engineer at Telefónica, where I have gained extensive experience and developed a strong focus on teamwork. Since 2025, I have been an associate professor in the Department of Signal Theory and Communications; prior to this, I taught at other universities.

My research focuses on the application and interdisciplinary study of Artificial Intelligence for the advanced analysis of spectrometric data, with the aim of identifying, characterizingand classifying materials, chemical or biological compounds, as well as various physical phenomena.

I hold a Technical Degree in Telecommunications (1999), a Bachelor’s Degree in Communications Electronics (2013) from the University of Alcalá, and a Master’s Degree in Telecommunications Engineering (2017) from Carlos III University of Madrid.

e-mail: 100312667@alumnos.uc3m.es

Irene Theodoropoulos is a Marie Skłodowska-Curie Actions PhD Candidate at Universidad Carlos III de Madrid at the department of Electronic Technology.

She holds an MSc in Bioinformatics – Computational Biology from the National and Kapodistrian University of Athens, in collaboration with the Hellenic Pasteur Institute, and a BSc/ MSci in Animal Science from the Agricultural University of Athens. Her academic background has provided her with extensive expertise in handling large-scale biological datasets and using statistical software packages such as R. Her technical proficiency extends to Biomedical and Tissue Engineering applications and THz Spectroscopy.

Currently, her research is part of the European Doctoral Training Network TeraIBs and focuses on THz Multiheterodyne Spectroscopy for on-line, real time, skin-on-chip monitoring and control. The primary objective is to perform wideband spectroscopic interrogation to benchmark tissue viability across various biological scenarios, including healthy skin, melanoma, and psoriasis.

Irene is working on developing a wideband interrogation system and applying advanced statistical tools, such as Functional Data Analysis (FDA) and machine learning, to extract critical diagnostic information from spectral data. By bridging the gap between photonics and in-vitro skin models, her work aims to provide a rapid, label-free tool for early disease diagnosis and personalized treatment monitoring.

e-mail: itheodor@ing.uc3m.es

He is graduated in Mechanical Engineering in 2018 and he has a master’s degree in Industrial Engineering in 2021, both awarded by the University Carlos III of Madrid.

In 2019, while he was studying the master, he was an intern at the UC3M Research Service (OTRI), giving support to the management of European projects for a period of one year.

He currently works as a administrative manager giving support to the research groups SITec, of the Electronics Deparment, and TERMeG, of the Bioengineering and Aerospace Engineering Department.

e-mail: wchavez@pa.uc3m.es