Dr. German Cuaya-Simbro , Academic Researcher , Higher Technological Institute of the East of the State of Hidalgo , Mexico.
Dr. German Cuaya-Simbro is a seasoned researcher and professor affiliated with the Instituto Tecnológico Superior del Oriente del Estado de Hidalgo, Mexico. With a Ph.D. in Computational Sciences, he combines academic excellence and industry expertise to explore cutting-edge technologies in Artificial Intelligence and Industry 4.0. He has over eight years of experience as a senior consultant at IBM and currently serves as a CONAHCYT SNI Level C researcher. A dedicated mentor and innovator, he leads national and international research initiatives, advancing intelligent systems, IoT, and machine learning for practical applications across education, agriculture, and healthcare.
Publication Profile
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🎓 Education Background
Dr. Cuaya-Simbro earned his Ph.D. in Computational Sciences, specializing in artificial intelligence and machine learning. His academic journey equipped him with a strong foundation in probabilistic graphical models, cloud computing, and robotics. His educational background aligns with his research interest in solving real-world problems through advanced computation. He continuously upskills through online learning platforms like CognitiveClass.ai, where he holds certifications in big data, cognitive computing, and more. His education has not only contributed to scholarly research but also enabled him to design intelligent technologies that support sustainable development goals across various sectors.
💼 Professional Experience
German Cuaya-Simbro has accumulated over eight years of professional experience as a senior IBM IT consultant, where he developed deep technical skills in high availability, mainframes, and virtualization. He is now a professor-researcher at TecNM (Instituto Tecnológico Superior del Oriente del Estado de Hidalgo), guiding undergraduate and graduate students in thesis projects and research work. Additionally, he contributes to consultancy projects with firms like QS Data Base Specialist SA de CV and End to End Technical Support LA SA de CV. His dual engagement in academia and industry enables a practical application of research in AI, IoT, and cyber-physical systems.
🏅 Awards and Honors
Dr. Cuaya-Simbro is a recognized SNI Level C member of CONAHCYT, Mexico’s National System of Researchers, an acknowledgment of his outstanding research performance. He has received recognition through funded research grants and national-level collaborations in intelligent systems and sustainable development. His academic contributions have led to 15 publications in SCI and Scopus-indexed journals, multiple patents under review, and editorial appointments in international journals. Furthermore, he’s been a key figure in collaborative initiatives with universities in Colombia, developing AI-based educational tools, thus demonstrating his impact on global education and technological innovation.
🔬 Research Focus
German Cuaya-Simbro’s research focuses on Artificial Intelligence, Machine Learning, Probabilistic Graphical Models, Industry 4.0, and Precision Agriculture. He has led over 12 completed projects and currently oversees two active initiatives related to AI-driven platforms and intelligent sensing systems. His work spans the development of cyber-physical systems, fall-risk detection in the elderly, and AI-integrated cloud education tools. His research is frequently cited in Web of Science, Scopus, SCIMAGO, and CONAHCYT databases. As a pioneer in cognitive computing, he continues to merge academia and real-world needs, especially in addressing the UN Sustainable Development Goals through smart technologies.
🔚 Conclusion
Dr. German Cuaya-Simbro is a transformative figure in computational sciences, contributing substantially to both academic and industrial spheres. His blend of scholarly excellence, practical consultancy, and innovation in intelligent systems has positioned him as a key researcher in Mexico and abroad. With patents pending, numerous journal publications, and deep involvement in international research partnerships, Dr. Cuaya-Simbro’s career reflects a commitment to leveraging artificial intelligence and smart technologies for societal betterment. As a nominee for the Best Academic Researcher Award, his qualifications clearly showcase his profound and sustained impact in computer science and Industry 4.0.
📝 Publication Top Notes
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A dynamic Bayesian network for estimating the risk of falls from real gait data
Published in: Medical & Biological Engineering & Computing, 2013
Cited by: 49 articles
Authors: German Cuaya, Angelica Muñoz-Melendez, Lidia Nuñez Carrera, Eduardo F.
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A Minority Class Feature Selection Method
Published in: Iberoamerican Congress on Pattern Recognition, 2011
Cited by: 23 articles
Authors: G. Cuaya-Simbro, A. Muñoz-Meléndez, E. Morales Manzanares
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Comparing machine learning methods to improve fall risk detection in elderly with osteoporosis from balance data
Published in: Journal of Healthcare Engineering, 2021
Cited by: 20 articles
Authors: G. Cuaya-Simbro, AI Perez-Sanpablo, EF Morales, I Quiñones Uriostegui, et al.
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Current state and trends of the research in exergames for the elderly and their impact on health outcomes: a scoping review
Published in: Journal of Ambient Intelligence and Humanized Computing, 2023
Cited by: 17 articles
Authors: IH López-Nava, MD Rodríguez, JP García-Vázquez, AI Pérez-SanPablo, G. Cuaya-Simbro, et al.
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Optimizing content graphene oxide in high strength concrete
Published in: International Journal of Scientific Research and Management, 2016
Cited by: 15 articles
Authors: VRJ Antonio, CS German, MME Raymundo