Lei Yao | Artificial Intelligence | Research Excellence Award

Mr. Lei Yao | Artificial Intelligence | Research Excellence Award

Ph.D. Candidate | Jilin University | China

Mr. Lei Yao is an advancing researcher whose work lies at the intersection of artificial intelligence, biomedical engineering, and intelligent monitoring systems. His research focuses on designing innovative AI-driven solutions for healthcare diagnostics, cognitive evaluation, physiological signal analysis, and smart livestock management. Through the integration of deep learning, multi-task learning, and generative models, he aims to improve the accuracy, efficiency, and scalability of real-world intelligent sensing applications.A core area of Mr. Yao’s work is biomedical signal processing, especially electrocardiogram (ECG) analysis. His contribution to MMS-Net, a multi-task learning framework, provides a transformative method for reconstructing full 12-lead ECG signals using only 3-lead inputs while simultaneously performing disease classification. This technology enhances diagnostic capabilities in low-resource settings and supports more accessible cardiology screening.Mr. Yao also investigates synthetic data generation using modern generative adversarial networks. His work on SGECG, a StarGAN-based system for ECG generation and augmentation, aids in overcoming data scarcity, a major limitation in machine-learning-based healthcare research.Beyond biomedical applications, Mr. Yao significantly contributes to smart agriculture and automaed animal health monitoring. His publication SideCow-VSS introduces a comprehensive video semantic segmentation dataset designed for intelligent dairy cow health assessment in smart ranch environments—an important advancement for precision livestock farming.His interdisciplinary research further includes cognitive assessment, demonstrated by MLCDT, a fine-grained multi-task learning model that enhances automated analysis of the clock drawing test, an essential tool in early detection of cognitive impairment.Overall, Mr. Lei Yao’s research integrates AI, signal processing, and intelligent sensing to create impactful solutions for healthcare, cognitive diagnostics, and smart agricultural systems.

Profiles: Scopus | ORCID | Google Scholar

Featured Publications

  1. Yao, L., Garmash, O., Bianchi, F., Zheng, J., Yan, C., Kontkanen, J., Junninen, H., … (2018). Atmospheric new particle formation from sulfuric acid and amines in a Chinese megacity. Science, 361(6399), 278–281.
    Citations: 611

  2. Xiao, S., Wang, M. Y., Yao, L., Kulmala, M., Zhou, B., Yang, X., Chen, J. M., Wang, D. F., … (2015). Strong atmospheric new particle formation in winter in urban Shanghai, China. Atmospheric Chemistry and Physics, 15(4), 1769–1781.
    Citations: 176

  3. Zheng, J., Ma, Y., Chen, M., Zhang, Q., Wang, L., Khalizov, A. F., Yao, L., Wang, Z., … (2015). Measurement of atmospheric amines and ammonia using the high-resolution time-of-flight chemical ionization mass spectrometry. Atmospheric Environment, 102, 249–259.
    Citations: 165

  4. Yan, C., Nie, W., Äijälä, M., Rissanen, M. P., Canagaratna, M. R., Massoli, P., … Yao, L., … (2016). Source characterization of highly oxidized multifunctional compounds in a boreal forest environment using positive matrix factorization. Atmospheric Chemistry and Physics, 16(19), 12,715–12,731.
    Citations: 164

  5. Wang, X., Hayeck, N., Brüggemann, M., Yao, L., Chen, H., Zhang, C., Emmelin, C., … (2017). Chemical characteristics of organic aerosols in Shanghai: A study by ultrahigh-performance liquid chromatography coupled with Orbitrap mass spectrometry. Journal of Geophysical Research: Atmospheres, 122(21), 11,703–11,722.
    Citations: 157

Mr. Lei Yao’s research significantly advances atmospheric chemistry by uncovering the mechanisms of new particle formation, characterizing organic aerosols, and improving high-resolution chemical detection technologies. His contributions enhance scientific understanding of air pollution sources, support policymakers in designing effective climate and air-quality interventions, and strengthen industrial environmental monitoring frameworks. Through high-impact studies published in globally respected journals, his work drives innovation in atmospheric measurement, fosters healthier urban environments, and informs global strategies for mitigating particulate pollution and its effects on human and environmental health.

 

Francisco Javier Álvaro Afonso | Artificial Intelligence | Best Researcher Award

Prof. Dr. Francisco Javier Álvaro Afonso | Artificial Intelligence | Best Researcher Award

Universidad Complutense De Madrid, Spain

Prof. Dr. Francisco Javier Álvaro-Afonso is a visionary clinical researcher specializing in diabetic foot osteomyelitis, blending podiatry, pharmacy, and cutting-edge AI diagnostics. Holding a PhD in Podiatry, he excels in pioneering non-invasive strategies for bone infection detection, leveraging radiographic interpretation and deep learning models to reshape clinical decision-making. With a robust h-index and over 1,500 citations, his scholarly footprint spans high-impact journals and international collaborations. He balances academic rigor with real-world impact, guiding best practices through his clinical experience at Complutense University and the Diabetic Foot Unit. His work empowers both patients and practitioners with smarter, faster, and more accurate diagnostic tools, leading to better outcomes and improved quality of life. Innovative, interdisciplinary, and deeply committed to transforming diabetic foot care, Prof. Álvaro-Afonso consistently sets a high bar for research excellence and patient-centered innovation.

Professional Profile

Google Scholar  | Scopus ProfileORCID Profile

Education

Prof. Dr. Francisco Javier Álvaro Afonso possesses a diverse and robust academic background that forms the foundation of his professional excellence. He earned his PhD in Podiatry from the Complutense University of Madrid, focusing his thesis on the interobserver variability of the probe-to-bone test and plain radiographs in diagnosing diabetic foot osteomyelitis. This was preceded by an Official Master’s Degree in Healthcare Research from the same institution, which strengthened his expertise in evidence-based medical practices. His academic journey also includes a Degree in Podiatry, completed, and a Degree in Pharmacy obtained, both from the Complutense University of Madrid. This multidisciplinary education enables him to merge clinical knowledge with pharmaceutical insights, allowing a more holistic approach to patient care. His formal education, characterized by both breadth and depth, has played a critical role in shaping his innovative research and teaching methodologies in healthcare sciences.

Experience

Prof. Dr. Francisco Javier Álvaro Afonso serves as a full-time professor in the Department of Nursing at the Faculty of Nursing, Physiotherapy, and Podiatry at the Complutense University of Madrid. In this role, he contributes extensively to the academic development of students while advancing research in podiatric medicine. Beyond academia, he practices as a Deputy Podiatrist at the Diabetic Foot Unit of the University Podiatric Clinic at UCM, where he applies his clinical expertise to improve patient outcomes. He is also an active research member of the Interdisciplinary Diabetic Foot Study Group at the Health Research Institute of Hospital Clínico San Carlos (IdISSC) in Madrid. His professional experience reflects a seamless integration of teaching, research, and clinical service, allowing him to translate scientific findings into practical healthcare solutions. His leadership extends to coordinating innovative technology transfer projects, bridging the gap between medical research and its application in everyday clinical settings.

Research Interest

Prof. Dr. Francisco Javier Álvaro Afonso’s research interests lie at the intersection of clinical podiatry, diagnostic imaging, and artificial intelligence applications in healthcare. His work primarily focuses on the diagnosis and management of diabetic foot osteomyelitis, a serious complication that significantly impacts patient mobility and quality of life. He has developed advanced diagnostic strategies that enhance the accuracy of plain radiograph interpretation and has contributed to refining clinical diagnostic tools used in global practice. Additionally, he explores the use of artificial intelligence for automated detection of osteomyelitis, aiming to reduce diagnostic delays and improve treatment outcomes. His research has had a direct impact on international guidelines, ensuring that evidence-based practices are adopted worldwide. With a commitment to innovation and interdisciplinary collaboration, his work continues to bridge the gap between clinical expertise and emerging technologies, setting new standards for diabetic foot care and related healthcare challenges.

Award and Honor

Throughout his career, Prof. Dr. Francisco Javier Álvaro Afonso has received notable recognition for his contributions to podiatric medicine and healthcare research. He has been invited to speak at prestigious international conferences across Europe and Latin America, sharing his expertise with academic and clinical audiences. His reputation as a leading researcher is further evidenced by his role as a reviewer and invited editor for high-impact scientific journals in diabetic foot research and medical imaging. He has also served as principal investigator and coordinator for innovative teaching and healthcare technology projects, many of which have received institutional and academic commendations. These honors reflect his commitment to advancing both the science and practice of podiatric medicine, as well as his dedication to mentoring the next generation of researchers and clinicians. His awards and professional distinctions underscore his position as a respected and influential figure in his field.

Publication Top Notes

  • Title: Analysis of transfer lesions in patients who underwent surgery for diabetic foot ulcers located on the plantar aspect of the metatarsal heads
    Authors: RJ Molines‐Barroso, JL Lazaro‐Martinez, J Aragon‐Sanchez, FJ Álvaro-Afonso, et al.
    Year: 2013
    Citations: 101

  • Title: Clinical efficacy of therapeutic footwear with a rigid rocker sole in the prevention of recurrence in patients with diabetes mellitus and diabetic polineuropathy: A randomized trial
    Authors: M López-Moral, JL Lázaro-Martínez, E García-Morales, Y García-Álvarez, FJ Álvaro-Afonso, et al.
    Year: 2019
    Citations: 83

  • Title: Metalloproteinases in chronic and acute wounds: A systematic review and meta‐analysis
    Authors: A Tardáguila‐García, E García‐Morales, JM García‐Alamino, FJ Álvaro-Afonso, et al.
    Year: 2019
    Citations: 81

  • Title: The best way to reduce reulcerations: if you understand biomechanics of the diabetic foot, you can do it
    Authors: JL Lázaro-Martínez, J Aragón-Sánchez, FJ Álvaro-Afonso, et al.
    Year: 2014
    Citations: 71

  • Title: Topical treatment for plantar warts: A systematic review
    Authors: S García‐Oreja, FJ Álvaro‐Afonso, Y García‐Álvarez, E García‐Morales, et al.
    Year: 2021
    Citations: 67

  • Title: Clinical and Histological Outcomes of Negatively Charged Polystyrene Microspheres Applied Daily Versus Three Times per Week in Hard-to-Heal Diabetic Foot Ulcers: A Randomized Blinded Controlled Trial
    Authors: José Luis Lázaro-Martínez, Marta García-Madrid, Mateo López-Moral, Aroa Tardáguila-García, Francisco Javier Álvaro-Afonso, Yolanda García-Álvarez
    Year: 2025

  • Title: Comparative Clinical Outcomes of Patients with Diabetic Foot Infection Caused by MRSA or MSSA
    Authors: Francisco Javier Álvaro-Afonso, Esther García-Morales, Mateo López-Moral, Luis Alou-Cervera, Raúl Molines-Barroso, José Luis Lázaro-Martínez
    Year: 2025
    Citations: 6

  • Title: Effect of physical activity on tissue perfusion in patients with diabetes mellitus: Systematic review and meta-analysis
    Authors: Laura Palacios-Abril, Aroa Tardáguila-García, Francisco Javier Álvaro-Afonso, Sara García-Oreja, Sol Tejeda-Ramírez, José Luis Lázaro-Martínez
    Year: 2025

  • Title: Using Artificial Intelligence for Detecting Diabetic Foot Osteomyelitis: Validation of Deep Learning Model for Plain Radiograph Interpretation
    Authors: Francisco Javier Álvaro-Afonso, Aroa Tardáguila-García, Mateo López-Moral, Irene Sanz-Corbalán, Esther García-Morales, José Luis Lázaro-Martínez
    Year: 2025

  • Title: Clinical Effects of Weekly and Biweekly Low-Frequency Ultrasound Debridement Versus Standard of Wound Care in Patients with Diabetic Foot Ulcers: A Pilot Randomized Clinical Trial
    Authors: Sebastián Flores-Escobar, Yolanda García-Álvarez, Francisco Javier Álvaro-Afonso, Mateo López-Moral, Marta García-Madrid, José Luis Lázaro-Martínez
    Year: 2025

  • Title: Red-Laser Photodynamic Therapy with Toluidine Blue Gel as an Adjuvant to Topical Antifungal Treatments for Onychomycosis in Patients with Diabetes: A Prospective Case Series
    Authors: David Navarro-Pérez, Sara García-Oreja, Francisco Javier Álvaro-Afonso, Mateo López-Moral, José Luis Lázaro-Martínez, Aroa Tardáguila-García
    Year: 2025

  • Title: Diode Laser and Red-Laser Photodynamic Therapy with Toluidine Blue Gel for the Treatment of Onychomycosis: A Case Series
    Authors: Sara García-Oreja, Francisco Javier Álvaro-Afonso, Aroa Tardáguila-García, David Navarro-Pérez, Esther Alicia García-Morales, José Luis Lázaro-Martínez
    Year: 2025

Conclusion

Prof. Dr. Francisco Javier Álvaro-Afonso’s research corpus demonstrates a consistent and impactful focus on diabetic foot complications, wound healing, biomechanics, and innovative treatment approaches. His contributions span randomized clinical trials, systematic reviews, biomechanical studies, and the integration of artificial intelligence in diagnostic imaging. With multiple high-citation works, particularly in diabetic foot biomechanics and wound care, his publications have significantly influenced clinical practices and preventive strategies worldwide. His recent explorations into laser therapy, ultrasound debridement, and AI-powered diagnostics highlight his forward-looking approach to improving patient outcomes in podiatric medicine.