Ponentes
Dr. Roy Abi Zeid Daou
Prof. Roy Abi Zeid Daou is a dedicated academic and engineering professional with a strong foundation in Control Systems and Biomedical Engineering. He earned his Bachelor’s degree in Computer Engineering in 2007, followed by a Master’s and Ph.D. in Control Systems in 2011. In 2022, he achieved HDR accreditation, specializing in Control Systems, Biomedical Systems Design, and Software Development. Currently, he serves as a Full Professor at La Sagesse University, where he leads both the Mechatronics and Biomedical Engineering Departments. His expertise has been recognized internationally, leading to invitations to teach at prestigious universities in France, Germany, and the United States. Throughout his career, he has authored over 140 papers published in esteemed international journals and IEEE conferences, and has written four comprehensive books on relevant subjects.
Talk Abstract:
In this talk, he will begin with a brief introduction to his research axes, with a particular focus on biomedical instrumentation. The presentation will then explore the domain of wearable devices, highlighting their significance in modern healthcare applications. He will specifically discuss three key wearable systems that have been fully designed, implemented, and tested over the past 7–8 years. The first system is designed to assist deaf individuals, enhancing their interaction with their environment. The second system addresses the needs of Parkinson’s patients, aiming to improve their mobility and quality of life. The third system focuses on epileptic patients, providing real-time monitoring and early warning mechanisms. These wearable solutions integrate advanced sensing, signal processing, and embedded system technologies to deliver practical and effective biomedical applications. Through this presentation, he will outline the technical challenges faced during development, the methodologies adopted, and the impact of these systems on patient care. Finally, he will discuss potential future directions in wearable biomedical instrumentation, emphasizing the need for further innovation and interdisciplinary collaboration.
Dr. José Javier Serrano Olmedo
Prof. José Javier Serrano Olmedo got his degree in Telecommunication Engineering in 1990 and his PhD. in Telecommunication Engineering in 1996 at the Engineering School on Telecommunication at the Technical University of Madrid (UPM). He has more than 30 years of experience teaching on Electronic Instrumentation, Bioinstrumentation, Biosensors, Technologies for Nanomedicine, Human Computer Interfaces, Electronic Health Records and Clinical Engineering. He is the Coordinator of the UPM Doctorate Program on Biomedical Engineering, a fellow member and Co-PI of the Networking Center for Biomedical Research on Bioengineering, Biomaterials and Nanomedine, and PI of the Laboratory of Bioinstrumentation and Nanomedicine, a facility of the Life Supporting Technologies Group, at the Center for Biomedical Technology at UPM (CTB-UPM). He is member of the Spanish Society of Biomedical Engineering, the Spanish Society of Clinical Engineering and of the European Society of Hyperthermic Oncology. He has published more than 100 papers and conference contributions, released 4 patents, participated or headed more than 50 projects and supervised more than 20 doctoral theses.
Dr. Josúe Pagán Ortiz
Prof. Josué Pagán is an Associate Professor at UPM whose research merges advanced modeling, simulation, and AI to drive healthcare innovations, particularly in wearables for migraine and oncological pain prediction. He has international experience at leading labs in Germany and the US, over a dozen JCR-indexed papers, and multiple competitive research grants. Beyond academia, he co-founded two tech-based startups to bring wearable solutions to market, earning both media recognition and an IEEE CEDA Best Paper Award. His ongoing collaborations with blood transfusion centers and hospital research units underscore a commitment to impactful, interdisciplinary solutions for healthcare challenges through digital twins and AI.
Talk Abstract:
In this talk I will explore how a wearable device, equipped with electronics to capture biomedical signals, can process information locally (edge computing), derive it to the cloud or fog environments for load balancing, and finally employ advanced AI in clinical decision making. I will show practical examples, such as the creation of digital twins that combine real data and simulation to anticipate crises, improve diagnoses and personalize treatments. In this way, my work integrates the entire technology cycle: from sensor to healthcare innovation. I will talk about use cases in migraine, cancer pain, sleep and other fields in which I work.
Dr. Antonio Cobo Sánchez de Rojas
Dr. Eng. Antonio Cobo holds a Ph.D. in Biomedical Engineering (Cum Laude), an MSc in Telecommunications Engineering, and an MSc in Telemedicine and Bioengineering from the Universidad Politécnica de Madrid (UPM). He works as a Researcher in the Bioengineering, Biomaterials, and Nanomedicine department of the Networked Centre for Biomedical Research (CIBER-BBN) at the Carlos III Health Institute (ISCIII), Spain. He is a Preferred Collaborating Researcher at UPM, conducting his research at the AgeingLab of the Centre for Biomedical Technology (CTB). Over the past 19 years, he has contributed to the fields of smart sensors for healthy aging, mHealth for weight loss, and virtual reality for orientation and mobility applications adapted to blind people's spatial perception. He is the author of 11 publications in JCR journals and conferences as the first author, 12 more as a co-author, and holds a granted patent.
Talk Abstract:
In this talk he will explore the use of digital technologies to configure an ecosystem for the prevention of functional decline in older adults. He will present the current definition of healthy aging and the concept of the frailty syndrome. Then, he will present a technological platform for the prevention of frailty with a focus on different wearable and portable sensors able to make automatic assessments of standard clinical tests without professional supervision and to estimate relevant functional variables in free-living conditions.
Antonio Salvador-Matar, MSc.
Antonio has a M.Sc. in Microsystems and Semiconductors (TU Hamburg) and a B.Sc. in Electronics Engineering (ITESM, Monterrey). He started his journey with Mecwins in 2009 as an R&D engineer, developing state-of-the-art instrumentation applied to the characterization of nanomechanical resonators and optoplasmonic nanoparticles for ultrasensitive biosensing applications. His sales experience dates back to 2014. Since then, he has played a key role in driving international sales of SCALA (nanomechanical sensing) and AVAC (optoplasmonic sensing) platforms. In 2019, Antonio led the industrialization of Mecwins' biosensor manufacturing protocol to bring consumables to market. Later in 2022 he joined Mecwins' business development department, coordinating the search for global partnerships. Antonio's expertise bridges R&D and sales, making him a key contributor to Mecwins' continued success and expansion.
Talk Abstract:
At Mecwins, we bridge the gap between scientific innovation and market-ready technology. Specializing in engineering services for the biomedical and nanomedicine sectors, we transform patents, prototypes, and academic research into functional, CE-marked instrumentation. Our experience spans from customized biosensing platforms to complex liquid handling systems, tailored for global institutions including QuidelOrtho, IIT Bombay, CSIC-IMN, and the Chinese Academy of Sciences. With in-house expertise in design, simulation, compliance, and manufacturing, Mecwins offers a full technology transfer process — from 3D schematics and BOMs to supplier engagement and regulatory certification. We integrate advanced functionalities like real-time sensing, microfluidics, automated optics, and temperature/humidity control, supported by a versatile software environment. By combining deep scientific collaboration with robust engineering capabilities, Mecwins accelerates the journey from concept to commercial device, delivering reliable, scalable solutions for the next generation of biomedical instrumentation.
Dr. José Pérez Rigueiro
Graduate in Physics and PhD in Applied Physics. Master in Biochemistry and Molecular Biology by Universidad Autónoma de Madrid. Member of the Departamento de Ciencia de Materiales (Universidad Politécnica de Madrid). Full Professor since 2020. Researcher in Centro de Tecnología Biomédica (CTB). Main research areas: silk and biomedical applications of silk-based materials and biofunctionalization of surfaces. The research activity is complemented with an intense academic work in the field of Biomaterials in the Degrees of Materials Engineering, Biomedical Engineering and Biotechnology. Author of 2 textbooks ”Biological Materials and Biomaterials” and “Iniciación de la Física Estadística".
Dra. Carmen Ramírez Castillejo
Lecturer at the Polytechnic University of Madrid. Department of Biotechnology and Plant Biology. School of Agricultural, Food and Biosystems Engineering. Complex Systems Group. Principal Investigator of the Cancer Stem Cell laboratory. Biomedical Technology Centre. IdISSC. 4 six-year research periods, 1385 citations, 45 scientific articles, 2 patents. 6 theses supervised, 4 more in progress 29 TFG, 14 TFMs. Scientific Advisor to two biotechnology companies (RZero SL., Nageru S.L). Member of the Spanish Association for Cancer Research, Association for the Dissemination of Oncological Advances, Association of Biotechnologists of Madrid (AsBioMad), Spanish Federation of Biotechnologists, Group for the Study of Stem Cells in Oncology (GESTO). 8 research and innovation awards, including: INNOVACEF award (diploma for the best start-up, 2024), actúaupm (diploma for the best business idea, 2018) and UPM Innovatech 2T (first prize for technological innovation, 2016). Coordination and teaching of the subject Advanced Techniques in Biotechnology; coordination and teaching of the subject Molecular Diagnostics; teaching of the subject Cell Cultures (Biotechnology degree).
Talk Abstract:
In the Cancer Stem Cell lab at the Biomedical Technology Centre we are working on several lines of research in relation to patient relapse that I will present, but in the talk in particular I will explain our latest advances in biomarkers. We have developed a robust mathematical model for early relapse prediction in CRC patients with 13 tumour stem cell biomarkers. We also introduced a new growth rate-based method to study chemotherapy resistance and identified TROP2 as a promising candidate biomarker for resistance detection. These findings contribute to the advancement of precision medicine approaches in CRC and open new avenues to improve the quality of life of CRC patients.
Moreover, to verify our hypotheses on these signalling systems in cancer, metastasis and treatment resistance, we have several whole organism models underway, next step to molecular and cellular modelling. In this context, we are carrying out a project to search for molecular characteristics of glioblastoma (the most damaging brain cancer in existence) that make it so invasive and resistant to treatment, so that we generate avatars of these types of tumours (representative of the different patients) in an animal model in which we can have multiple data, Drosophila melanogaster, and their analysis by machine learning can give us the keys to the differences between tumours and their differential responses to treatments, also aimed at precision medicine.
