Manuel Antonio Burgos Olmos is a Professor specializing in Computational Fluid Dynamics (CFD) applied to nasal airway function and surgical optimization. His interdisciplinary work bridges biomedical engineering, oto-rhino-laryngology, and anthropology, with significant contributions to virtual surgery tools like DigBody®, MeComLand®, and Noseland® for objective airflow analysis and surgical planning. His research focuses on nasal airflow simulation across diverse contexts: human climate adaptation studies in anthropology, veterinary applications for big cats (e.g., lions using Flowgy software), and clinical conditions including empty nose syndrome and nasoseptal perforations. Key interests include 3D modeling of nasal cavities, vorticity analysis, and reducing surgical outcome variability through computational approaches. Analysis of his 46 publications (1998-2025) reveals a consistent trajectory toward integrated computational modeling, with recent work (2016-2025) emphasizing cross-species comparisons (humans/chimpanzees), sexual dimorphism in airways, and clinical-veterinary translational applications. His publications in high-impact journals demonstrate methodological innovation in CFD-based surgical prediction and anthropological morphology assessment.
Juan Manuel Corchado Rodríguez is a Full Professor with Chair at the University of Salamanca, Spain, where he has held numerous leadership positions including Vice President for Research and Technology Transfer (2013-2017), Director of the Science Park, Director of the Doctoral School, and Dean of the Faculty of Science (elected twice). He belongs to the Department of Computer Science and Automation and leads the BISITE Research Group focused on Bioinformatics, Intelligent Computing Systems and Educational Technology. His educational background includes a PhD in Computer Sciences from the University of Salamanca (1998) with thesis titled "Multi-agent systems based on hybrid artificial intelligence algorithms for real-time predictions and complex series" supervised by Dr. José Rafael García-Bermejo Giner, and a second PhD in Artificial Intelligence from the University of the West of Scotland. Corchado's research spans multiple cutting-edge domains in computer science, with primary focus on multi-agent systems, artificial intelligence, and ambient intelligence. His work integrates these technologies to solve real-world problems in smart cities, healthcare monitoring, energy management, and accessibility. He has pioneered approaches that combine wireless sensor networks with intelligent agents to create context-aware systems that can adapt to user needs and environmental conditions. His research particularly emphasizes practical implementations that bridge theoretical advances with tangible applications. Analysis of his recent publications reveals a consistent trajectory toward increasingly integrated intelligent systems. His work has evolved from foundational multi-agent architectures like PANGEA to sophisticated applications in smart territories, energy management, and healthcare. A notable trend is the convergence of multiple AI techniques (neural networks, case-based reasoning, organizational models) within single frameworks. His research increasingly addresses societal challenges through technological solutions, particularly in sustainable urban development and assistive technologies for vulnerable populations. Corchado directs the BISITE Research Group (Bioinformatics, Intelligent Computing Systems and Educational Technology), which operates within multiple university institutes including the University Research Institute in Animation Art and Technology, the University Institute for Science and Technology Studies, and the Biomedical Research Institute of Salamanca. His team develops practical applications of AI and multi-agent systems across various domains, with particular emphasis on creating technologies that improve quality of life and operational efficiency.
Emilio Santiago Corchado Rodríguez serves as a University Professor in the Department of Computer Science and Automation at the University of Salamanca, with additional affiliations at the University Research Institute in Animation Art and Technology and the Biomedical Research Institute of Salamanca. He holds a Doctorate from the University of Salamanca (2002), completing his thesis "Early vision and artificial neural networks" under the supervision of Dr. Luis Alonso Romero and Dr. Colin Fyfe. His academic foundation spans Computer Engineering and Marine Energy and Propulsion through PhD school associations. His research spans Artificial Intelligence, Bioinformatics, and Intelligent Computing Systems, with specialized focus on Computer Vision and Neural Networks through the BISITE research group (Bioinformatics, Intelligent Computing Systems and Educational Technology). This work integrates educational technology applications across biomedical and engineering domains. Active within the BISITE research ecosystem, he contributes to interdisciplinary projects bridging animation technology, biomedical research, and computational systems through the university's specialized institutes.
Guillermo Hernández González serves as a Professor in the Department of Computer Science and Automation at the University of Salamanca, with affiliations to the University Research Institute in Animation Art and Technology and the BISITE research group focused on Bioinformatics, Intelligent Computing Systems, and Educational Technology. He completed his PhD in Computer Engineering at the University of Salamanca in 2018 under the supervision of Dr. Francisco Fernández González, with doctoral research titled "Bases for the realization of a cell irradiation device using X-ray beams generated by laser acceleration". His scholarly work spans critical domains in modern computing: Artificial Intelligence Computer Science Bioinformatics Intelligent Computing Systems Educational Technology No scientific awards were documented in the source material. Details regarding student supervision, grant funding, or collaborative projects remain unspecified in the available information. As an active contributor to the BISITE research group, he engages in cross-disciplinary initiatives advancing intelligent computing applications in scientific and educational contexts.
María Amor Díaz García serves as an Associate Professor at the Faculty of Social Sciences, University of Salamanca, specializing in digital animation and visual effects technologies. She teaches core courses including Editing and Post-production Technology, Motion Graphics, and Animation, directly applying her industry expertise to academic instruction. Her educational foundation includes a European Master's Degree in Computer Animation and Synthetic Image. Professional experience spans roles as a Digital Animator for Cambridge Animation Systems and diverse European and American production companies, culminating in leadership as Head of the Image and Design Department at Zamora's School of Art and Higher Studies. Research interests focus on the intersection of computer-generated imagery and modern media production, with emphasis on Digital Animation techniques, Computer Design workflows, VFX integration, and Motion Graphics applications. Her work bridges theoretical frameworks with practical industry standards in digital content creation. Dr. Díaz García maintains active scholarly engagement through dedicated platforms: adgarte.blogspot.com for artistic research, adananimacion.wordpress.com and adanimacion.blogspot.com for animation studies, plus a professional Facebook presence at facebook.com/adanimacion.
