جست‌وجوی استاد و پژوهشگر

Jose L Contreras-Vidalمشاهده پروفایل

استاد

• Brain-machine interfaces
• Neurotechnology
• Biomedical Engineering
• +۴ مورد دیگر

Dr. Jose 'Pepe' L Contreras-Vidal serves as the Hugh Roy and Lillie Cranz Cullen Distinguished Professor and director of the U.S. National Science Foundation Industry-University Cooperative Research Center for Building Reliable Advances and Innovations in Neurotechnology (IUCRC BRAIN) at the University of Houston. An elected Fellow of both IEEE and AIMBE, his pioneering work bridges neuroscience, engineering, and art. His research focuses on developing brain-machine interfaces for controlling wearable exoskeletons for rehabilitation and mapping art-evoked brain activity. Dr. Contreras-Vidal's interdisciplinary approach explores the neural basis of human creativity while advancing understanding of arts as active neuromodulators of brain function, with applications to personalized arts prescriptions. His recent work includes leading the first comprehensive knowledge integration assessment of clinical trials of implantable brain-computer interfaces, published in Nature Reviews Bioengineering. His art-science team received the Chamber Music America's 2025 Interdisciplinary Collaboration of the Year award for 'Meeting of Minds', which was performed at the United Nations' 2024 AI for Good Summit in Geneva. Fellow of IEEE Fellow of AIMBE Chamber Music America's 2025 Interdisciplinary Collaboration of the Year Dr. Contreras-Vidal serves on the National Advisory Board for Medical Rehabilitation Research at the U.S. National Institute of Health. His career development in biomedical engineering was highlighted by the journal Science, underscoring his significant contributions to the field.

FERNANDO ESCOBEDO CARDEÑOSOمشاهده پروفایل

استاد

• Urban Planning
• Regional Development
• Transport Economics
• +۳ مورد دیگر

FERNANDO ESCOBEDO CARDEÑOSO is a Professor at the University of Burgos , affiliated with the School of Civil Engineering and the Department of Civil Engineering . His work focuses on Urban and Regional Planning , with a specialization in the territorial impacts of high-speed rail (AVF) and large-scale infrastructure projects. Educational Background: Doctor from the Universidad de Castilla-La Mancha (2005) with a thesis on territorial effects of singular projects outside major cities. His research spans transport economics , input-output modeling , and regional development . Notably, he developed the Cell-Corrected RAS Method (CRAS) for updating input-output matrices and studied hybrid interregional construction methods. His work often applies to metropolitan integration in Spain, particularly the Ciudad Real and Puertollano case studies. Scientific trends in his publications include: 2002-2011 focus on high-speed rail, territorial effects, and regional economic modeling Specialization in input-output analysis (2008-2011) with structural lag estimation Contributions to interregional transport linkages (2008) and RAS method improvements (2009) While no formal scientific awards are documented in the provided texts, his collaborations include supervision by Dr. José María de Ureña Francés . No student advising records are visible in the current dataset.

Enrique Curiel Sanzمشاهده پروفایل

دانشیار

• Mechanical Engineering
• Numerical Simulation
• Cold Stamping
• +۳ مورد دیگر

Enrique Curiel Sanz serves as an Associate Professor in the Department of Electromechanical Engineering at the School of Engineering, University of Burgos, Spain, where he contributes to mechanical engineering education and research with industrial applications. He earned his PhD from the University of Burgos in 2015 through doctoral research titled "Numerical simulation of cold stamping processes and its application to the automotive industry," supervised by Dr. Isidoro Iván Cuesta Segura. This foundational work established his expertise in computational modeling of manufacturing systems. His research program focuses on Mechanical Engineering with specialized emphasis on Numerical Simulation techniques, Cold Stamping process optimization, and Automotive Manufacturing innovations. He develops computational frameworks to enhance precision and efficiency in automotive production lines, bridging theoretical mechanics with industrial problem-solving. No scientific awards, fellowships, or major prizes are documented in available sources for Dr. Curiel Sanz. As an academic advisor, he supervises graduate theses within the Department of Electromechanical Engineering, guiding Master's and PhD candidates through research projects that address real-world engineering challenges in material forming and manufacturing systems.

Wilco Martinus Hendrikus Verbeetenمشاهده پروفایل

استاد

• Polymer Science
• Mechanics of Materials
• Computational Mechanics
• +۴ مورد دیگر

Wilco Martinus Hendrikus Verbeeten is a Professor at the University of Burgos, affiliated with the Higher Polytechnic School and the Department of Civil Engineering. His research focuses on the structure-property relationships of polymer materials, including rheology, solid-state mechanics, and additive manufacturing. Education: MSc in Mechanical Engineering, Eindhoven University of Technology (1996) PhD in Mechanical Engineering, Eindhoven University of Technology (2001) Research Interests: Verbeeten's work spans polymer processing, rheology, and structural dynamics, with emphasis on numerical methods (finite element modeling, constitutive equations) and experimental approaches to understand how processing affects mechanical properties in injection-molded and 3D-printed components. Scientific Awards: Ramón y Cajal research fellowship

• Applied Mathematics
• Mathematical Modeling
• Numerical Simulation
• +۷ مورد دیگر

Manuel Carretero Cerrajero is an Associate Professor in the Department of Mathematics at Universidad Carlos III de Madrid, affiliated with the Gregorio Millán Barbany University Institute for Modelling and Simulation in Fluid Dynamics, Nanoscience and Industrial Mathematics . His research spans multiple disciplines including Semiconductor Physics, Biomedical Modeling, and Nonlinear Dynamics. Research Group: Modeling, Numerical Simulation and Industrial Mathematics Subjects: Mathematics, Physics, Biomedicine, Electronics Dr. Carretero's work focuses on mathematical modeling of complex systems , particularly in semiconductor superlattices and tumor-induced angiogenesis. His contributions include developing numerical methods for kinetic equations and studying nonlinear transport phenomena. Key research themes: Chaos and hyperchaos in semiconductor nanostructures Soliton dynamics in biological systems Stochastic models for blood vessel growth Computational methods for nonlinear systems Notable projects include: Principal researcher on " Modelos y métodos matemáticos para aplicaciones biomédicas " (2021-2025) Researcher on " Modelos híbridos para nano y biosistemas " (2015-2018) International collaborations with Paul Drude Institute and University of Milan

• Statistics
• Operational Research
• Optimization
• +۲ مورد دیگر

Marina Leal Palazon serves as a Permanent Labor Professor in the Department of Statistics, Mathematics and Computer Science at Miguel Hernández University, concurrently holding the position of Acting Secretary of the Institute of Operations Research Center (Centro de Investigación Operativa). Her teaching responsibilities span multiple academic programs including Business Statistics Engineering, Telecommunications Technologies Engineering, Podiatry, Public Security, and the Master's in Computational Statistics and Data Science. Business Statistics Engineering: Statistical Techniques in Market Analysis (theory and practice) Telecommunications Technologies Engineering: Traffic Engineering (practice only) Podiatry: Biostatistics (practice only) Public Security and Private: Big Data and Forensic Computing (theory and practice) Master's in Computational Statistics and Data Science: Data Visualization Techniques (theory and practice) Her research focuses on core areas including Statistics, Operational Research, Optimization, Data Science, and Big Data. These interests directly inform her teaching across diverse domains such as market analysis, traffic engineering, biostatistics, and forensic computing applications. She actively contributes to the Resource Management and Optimization research group, where methodological development intersects with practical problem-solving in resource-constrained environments. No scientific awards were documented in the source materials. Information regarding student advisement, research grants, or specific laboratory facilities was not provided in the available documentation.

• Applied Mathematics
• Operations Research
• Linear Algebra
• +۱ مورد دیگر

Diego Garcia Lucas serves as an Assistant Professor in the Department of Statistics, Mathematics and Computer Science at Miguel Hernández University. His academic role centers on Applied Mathematics, with active teaching responsibilities across multiple engineering and data science programs including Data Science and Artificial Intelligence, Electrical Engineering, and Mechanical Engineering. His research profile emphasizes Applied Mathematics with specialized focus on Linear Algebra and Differential Equations , foundational to engineering applications. As an integral member of the Center for Operations Research (Instituto Centro de Investigación Operativa), he engages in interdisciplinary work applying mathematical modeling to complex systems. His expertise bridges theoretical mathematics with practical engineering solutions through courses like Álgebra Lineal and Ecuaciones Diferenciales. Diego Garcia Lucas maintains dual institutional affiliations within Miguel Hernández University: his primary appointment in the Statistics, Mathematics and Computer Science Department and research activities at the Center for Operations Research. This dual role facilitates collaboration between theoretical mathematics and applied operational problem-solving across engineering disciplines.

• Statistics
• Operational Research
• Efficiency and Productivity Analysis
• +۱ مورد دیگر

Immaculate Sirvent Quilez is a Professor at the Department of Statistics, Mathematics and Computer Science at Miguel Hernández University. She is affiliated with the Research Group on Efficiency and Productivity Analysis and serves as a faculty member in the Institute for Operational Research. Research Focus: Her work centers on statistical analysis, operational research, and mathematical optimization, particularly in efficiency and productivity assessment. Contact: Email: servirt@umh.es Phone: +34 966 658 692 Teaching: She teaches Statistics and Optimization in the following programs: Degree in Telecommunications Technologies Engineering Degree in Electrical Engineering

• Computer Networks
• Edge Computing
• Telecommunications
• +۳ مورد دیگر

Salvador Alcaraz Carrasco serves as an Associate Professor in the Department of Computer Engineering at Miguel Hernández University of Elche's School of Engineering. His office is located in the Computer Technical Architecture Laboratory within the Alcudia Building (1st floor), and he maintains active teaching responsibilities across multiple programs. His research centers on the IoT-edge-cloud continuum , with significant contributions to network function virtualization, edge computing orchestration, and vehicular network resource management. His work bridges theoretical protocol design (including formal algebraic specifications) with practical implementations for real-time edge services. Teaching innovations form another critical dimension of his work, particularly in network engineering education and academic tutoring systems. Professor Alcaraz coordinates core networking courses including Computer Networks , Fundamentals of Telecommunications Networks , and Network Protocol Engineering for both Bachelor's and Master's programs. His publication trends reveal a strategic evolution from educational infrastructure (diskless Linux terminals) through protocol specification toward contemporary edge computing challenges, demonstrating sustained engagement with networking technology advancements over two decades. As a member of the IoT-edge-clOud cOnTiNuum research group, he focuses on orchestration and validation frameworks for distributed computing environments. His tutorial sessions (Wednesdays 09:30–14:30) and laboratory instruction emphasize hands-on network design and modeling, particularly through the Tools for Designing and Modeling Networks and Services course in the Telecommunications Engineering Master's program.

• Video Coding
• Perceptual Quality Optimization
• Neural Networks
• +۳ مورد دیگر

Javier Ruiz Atencia is a PartTime Lecturer in the Department of Computer Engineering at Miguel Hernández University of Elche, specializing in Computer Architecture and Telecommunications Technology. He teaches courses including Operating Systems, Programming Languages, and Network Architecture. Current academic appointments at UMH Teaching responsibilities across multiple engineering programs Active research in video coding and perceptual quality optimization Technical expertise in HEVC/VVC standards and neural network applications Research focus centers on perceptual video coding techniques that leverage human visual system characteristics. His work explores: Hybrid contrast & texture masking models QP optimization algorithms Rate-distortion performance analysis Next-generation video compression strategies Perceptual quality assessment frameworks Technical Contributions include development of HEVC intra prediction emulators and network architecture implementations. Current projects focus on integrating dual hybrid neural networks for improved VVC encoding efficiency.

• Big Data applications
• Machine Learning
• Data Mining
• +۷ مورد دیگر

David Gil Méndez is a Full Professor in Computer Architecture and Technology at the Department of Information Technology and Computing, University of Alicante. He earned his Doctorate in Computer Engineering from the University of Alicante in 2008 and has supervised 5 PhD theses to date. Member of European Network of Scientific Excellence in AI (ELLIS) Coordinator of 3 European COST Action projects (2021-2027) Published 50+ JCR journal articles His research focuses on Big Data applications, Machine Learning, Data Mining, IoT, and Human Activity Recognition, with particular emphasis on healthcare AI and clinical data analysis. He has developed frameworks for decentralized IoMT environments and conducted extensive work on explainability in medical machine learning models. Recent publications address metastasis prediction in rare tumors (2025), photovoltaic energy forecasting (2022), and blockchain voting systems (2020). His work spans both theoretical and applied domains, including educational data mining and cyber-physical systems. As teaching experience, he has delivered courses in Operating Systems (14 times), Computational Modeling (5 times), Data Mining (5 times), and Big Data Technologies (5 times) at University of Alicante across multiple engineering disciplines. He leads research projects funded by: European Commission (3 active COST Actions) Valencian Government (2020-2021) Spanish Ministry of Education (2009-2010)

• Machine Learning
• Artificial Intelligence
• Explainable AI
• +۵ مورد دیگر

María Amparo Alonso Betanzos is a Professor in the Department of Computer Science and Information Technology at the Faculty of Informatics, Universidade da Coruña (UDC), Spain. She is an active researcher and educator specializing in Artificial Intelligence and Machine Learning, with a focus on scalable and explainable approaches. She is a member of the Laboratory for Research and Development in Artificial Intelligence at UDC. Dr. Alonso Betanzos has extensive teaching experience across multiple degree programs including the Degree in Artificial Intelligence and the Degree in Computer Engineering. Her current teaching portfolio includes courses such as Deep Learning, Development of Intelligent Systems, Knowledge-based Systems, and Intelligent Systems, covering both mandatory and optional subjects across undergraduate and master's programs. Her primary research interests span Scalable Machine Learning, Explainable Machine Learning, Sustainable Artificial Intelligence, and Agent-Based Modeling. Her work demonstrates a strong commitment to developing AI systems that are not only powerful but also interpretable and environmentally conscious. She has made significant contributions to methods for feature selection, classification algorithms, and knowledge representation in complex domains. Analysis of her recent publications reveals a consistent focus on advancing explainable AI techniques, particularly in medical and social applications. Her work frequently appears in top-tier journals including IEEE Transactions on Neural Networks and Learning Systems, Information Fusion, and Expert Systems with Applications. A notable trend in her recent work is the application of AI to healthcare challenges, with several papers published in biomedical computing journals. Dr. Alonso Betanzos has been actively involved in research funding, serving as Principal Investigator on multiple projects funded by the European Regional Development Fund, the Ministry of Science, Innovation and Universities, and regional Galician agencies. Her research group has secured continuous funding since at least 2003, demonstrating sustained excellence in research. She has directed numerous final degree and master's theses since 2013, with topics ranging from virus spread simulation using intelligent models to anomaly detection in mixed categorical-continuous spaces. Her students' work often focuses on practical applications of machine learning in healthcare, social systems, and recommendation systems. Dr. Alonso Betanzos is a core member of the Laboratory for Research and Development in Artificial Intelligence at UDC, which focuses on advancing fundamental AI research while addressing real-world challenges. The lab maintains strong collaborations with both national and international research groups, particularly in the areas of explainable AI and sustainable computing.

• Fluid Mechanics
• Fire Simulation
• Fluid-Structure Interaction
• +۳ مورد دیگر

Candido Gutiérrez Montes serves as a Professor at the University of Jaén within the Department of Mechanical and Mining Engineering. He maintains dual affiliations with the Interuniversity Institute for IT System Research and the Fluid Mechanics and Fluid-Structure Interaction Group of Jaén (GIIF-IA), where he conducts specialized research in fluid dynamics. His academic foundation includes a Doctorate from Universidad Politécnica de Cartagena (2009), with doctoral research supervised by Dr. Enrique Sanmiguel Rojas and Dr. Antonio Viedma Robles. His thesis established expertise in numerical modeling and experimental validation of fire behavior in large-volume building enclosures like atriums. Professor Gutiérrez Montes' research portfolio centers on critical engineering domains: Fluid Mechanics fundamentals Fire dynamics simulation in complex structures Fluid-structure interaction phenomena Computational modeling for safety engineering Through his leadership in the Fluid Mechanics Group, he bridges theoretical fluid dynamics with practical fire safety applications, particularly addressing architectural challenges in modern building design where conventional fire models fail. His work directly impacts safety protocols for large public spaces requiring specialized ventilation and containment strategies. Current academic activities focus on advancing simulation methodologies for thermal fluid dynamics in building environments, with emphasis on validating computational models against physical experiments to improve predictive accuracy for emergency response planning.

José Manuel Valderrama Zafraمشاهده پروفایل

استاد

• Geographic Information Systems (GIS)
• 3D Modeling
• Archaeological GIS
• +۶ مورد دیگر

Professor José Manuel Valderrama Zafra, affiliated with the University of Jaén since 1996, specializes in Geographic Information Systems (GIS), 3D modeling, and their applications in archaeology and wildlife ecology. He contributes to the Biodiversity and Sustainable Development research group (RNM-175) and collaborates with the Andalusian Institute of Iberian Archaeology on projects like BAECULA and BAECULA II. His work integrates GIS, remote sensing, and BIM for cultural heritage preservation and ecological studies in Mediterranean ecosystems, particularly focusing on deer and wild boar habitats in Sierra Morena. Doctorate from University of Jaén (2024) on GIS and 3D technology for wildlife management. Supervised by Dr. Concepción Azorit, Dr. Miguel Ángel Rubio Paramio, Dr. Antonia Oya Lechuga. Collaborated with University of Leicester on Richard III's virtual reconstruction. His research spans GIS development, 3D modeling, and geomatics for archaeology and ecology. Key projects include the Ministry of Science's 1FD97-0865 for GIS in olive oil sectors and multidisciplinary studies with the Spatial Experimentation Lab (HUM155). Recent publications highlight innovations in BIM for advanced construction, 3D antler asymmetry analysis, and UAS mapping of historical sites. His work bridges archaeological GIS , ecological spatial analysis , and digital heritage reconstruction . He explores topography's role in species distribution and has systematized Boolean operations for 3D architectural printing. Collaborations include Duke University's Maurizio Forte and Durham University's Marta Diaz-Guardamino.

Francisco Jurado Melguizoمشاهده پروفایل

استاد

• Power Systems
• Renewable Energy
• Energy Storage
• +۳ مورد دیگر

Francisco Jurado Melguizo is a Professor in the Department of Electrical Engineering at Universidad de Jaén. His research focuses on power systems, renewable energy integration, and optimization algorithms, with over 520 JCR-indexed publications and 260 conference papers. He has led projects funded by Spanish Ministries and the European Commission and authored 8 books. PhD: Universidad Nacional de Educación a Distancia (UNED), 1999 His work spans distributed generation, energy storage, smart grids, and techno-economic analysis, often incorporating AI and metaheuristic optimization techniques. Recent projects include hybrid renewable systems, EV charging infrastructure, and grid resilience under climate uncertainties. He has received recognition as one of the most influential researchers globally by Stanford University and contributes to research groups focused on electrical technology and energy systems.