جست‌وجوی استاد و پژوهشگر

Jose Fernandez Hernandezمشاهده پروفایل

استاد

• Location Science
• Competitive Facility Location
• Global Optimization
• +۴ مورد دیگر

José Fernández Hernández is a Full Professor at the Department of Statistics and Operations Research, Faculty of Mathematics, University of Murcia (Spain). His academic career spans over two decades with significant contributions to location science, global optimization, and interval analysis. Ph.D. in Mathematics (1999), University of Murcia (Thesis: "Nuevas técnicas para el diseño y resolución de modelos de localización continua") Member of Operations Research Group (IOMUR), Spanish Society of Statistics and Operations Research (SEIO), and Euro Working Group on Locational Analysis (EWGLA) Research Interests: Specializing in Location Science where he develops models for optimal facility placement considering transportation costs, market share capture, and customer behavior. His work extends to Global Optimization techniques using interval analysis to solve nonlinear problems with multiple local optima, and Multiobjective Optimization frameworks for balancing conflicting objectives in spatial decision-making. Article Trends: His publications demonstrate a progression from geometric decomposition methods (2000s) to advanced competitive facility location models (2010s) parallel evolutionary algorithms (2010-2020) MINLP formulations for firm expansion (2015-2024) probabilistic consumer choice modeling attractiveness adjustment in existing facilities Stackelberg games in facility location Grants & Projects: Over 20 funded projects including national grants (Ministerio de Ciencia e Innovación) 1997-2024 regional projects (Fundación Séneca, Junta de Andalucía) 1998-2022 international cooperation with Hungary 2002-2006 Coordinating research networks on location analysis and computational methods. Collaboration: Regularly works with researchers from University of Almería University of Szeged (Hungary) International Federation of Operational Research Societies with over 50 co-authored publications.

• Electromagnetic Field Design
• Antenna Engineering
• Computational Intelligence
• +۳ مورد دیگر

Rocío Sánchez Montero is an Associate Professor in the Department of Signal Theory and Communications at the University of Alcalá. She holds a PhD from the same institution (2011), focusing on computational intelligence techniques for robust design of radiant devices. Her work is centered in the Radiation and Sensing Group (RSG), addressing challenges in antenna engineering, electromagnetic field optimization, and biomedical applications. Her research interests include antenna design, wireless systems, and bioengineering applications of electromagnetic fields. Notably, she has pioneered methods for exposure mapping using evolutionary algorithms and developed miniaturized antennas for medical and industrial use. Her work integrates computational intelligence with hardware design, emphasizing practical applications in telecommunications and healthcare. Recent publications highlight advancements in wearable antennas, cryogenic radio telescope front-ends, and wireless power transfer for implantable devices. She also contributes to data protection policies, particularly pseudonymization techniques for public administration. Though no formal awards are listed, her prolific output (over 50 publications since 2003) reflects sustained contributions to electromagnetic engineering and interdisciplinary research. She advises through her teaching roles and collaborates on innovative projects at the Yebes Observatory and biomedical engineering interfaces.

• Operations Research
• Quantitative Methods for Business and Economics
• Multiobjective Optimization
• +۳ مورد دیگر

Concepcion Paralera Morales is an Associate Professor at the Universidad Pablo de Olavide, affiliated with the Department of Economics, Quantitative Methods and Economic History. Her research focuses on Quantitative Methods for Business and Economics within the "Quantitative Methods in Business and Economics" research group. PhD in Economics from Universidad Pablo de Olavide (2005) Supervised by Dr. Rafael Caballero Fernández and Dr. Flor María Guerrero Casas Her work primarily addresses multiobjective optimization problems in operational research, particularly location routing and waste management. She has applied metaheuristics like tabu search to real-world case studies in Andalusia, incorporating both economic and social criteria in decision-making processes. Key trends in her publications (2005-2007) include: multicriteria approaches for infrastructure location, integration of equity considerations in risk assessment, and combinatorial optimization techniques. Her research intersects operations research (90-XX) with applications in environmental policy and industrial logistics.

• Network Security
• Artificial Intelligence
• Cybersecurity
• +۱۲ مورد دیگر

Guiomar Corral Torruella is an Associate Professor in the Engineering Department at La Salle Digital Engineering School, Ramon Llull University. She is an active researcher in the Research Group on Smart Society, contributing to numerous national and European research projects. Her research interests span Network Security, Artificial Intelligence, Cybersecurity, Smart Grids, IoT, and Unsupervised Learning . She applies these in the context of smart cities and critical infrastructure protection. Her recent publications highlight work in cybersecurity education for IoT, secure smart grid architectures, and advanced clustering techniques. These reflect a consistent focus on security, intelligence, and integration in digital and energy systems . Selected research projects include: REWIRE : Cybersecurity Skills Alliance - A New Vision for Europe (European Commission, 2020–2024) NG-SOC : Next Generation Security Operation Centres (2024–2026) EcoSentinel : Ecological Sentinel (2024–2027) BTL-COP : Building Trust and Leadership in Police Communities of Practice (2025–2028) Research Group on Smart Society (AGAUR, 2022–2025) She has published in journals such as Sensors and Energies , with a focus on applied solutions in cybersecurity and smart infrastructure. She has an h-index of 8 and over 161 citations. She is actively involved in research advising and collaborative innovation, with no indication of retirement or former status. Her work continues to evolve in the domains of AI-driven security and smart society technologies.

ANGEL MANUEL GONZALEZ RUEDAمشاهده پروفایل

استادیار

• Optimization
• Operations Research
• Mathematical Modeling
• +۳ مورد دیگر

Angel Manuel González Rueda is an Assistant Professor at the University of Santiago de Compostela (USC), affiliated with the Department of Statistics, Mathematical Analysis and Optimization, part of the Higher Technical School of Engineering. He is a member of the MODESTYA research group (Optimization, decision, statistical models and applications) and the Galician Mathematical Research and Technology Center (CITMAga). His research focuses on optimization algorithms, energy networks, and decision models, with notable work on gas transmission systems, home care scheduling, and polynomial optimization tools like RAPOSa. He holds a Doctorate from USC (2017), completing his thesis on Gas transmission networks optimization algorithms and cost allocation methodologies , supervised by Dr. Julio González Díaz. His expertise spans mathematical modeling, computational optimization, and game theory applications in energy and logistics systems. Key research trends in his articles include: (1) Development of hybrid optimization algorithms for differential equations and network problems, (2) Multiobjective scheduling in healthcare and retail logistics, and (3) Fair cost allocation mechanisms in energy and gas networks using cooperative game theory. His RAPOSa software has become a notable open-source tool for polynomial optimization. Rueda has contributed to over 15 peer-reviewed articles since 2014, addressing topics ranging from wildfire suppression modeling to decentralized energy markets. Though no formal awards are listed, his work demonstrates significant innovation in applied mathematical optimization. He has advised no doctoral students listed here but collaborates extensively with industry partners on network optimization challenges. His affiliations include the Interuniversity Research Center CITMAga, emphasizing applied mathematics in technology, and the MODESTYA group, which bridges theoretical optimization with real-world applications in engineering and economics.

• Operations Research
• Optimization
• Multiobjective Programming
• +۳ مورد دیگر

Luis Coladas Uría is a Researcher at the University of Santiago de Compostela, affiliated with the Department of Statistics, Mathematical Analysis and Optimization under the Faculty of Mathematics. He holds a Doctorate from the same institution (1979), specializing in multiobjective problems and domination structures. His research focuses on optimization, multiobjective programming, and operational research, with contributions to duality theory and vector maximization. Education: PhD in Mathematics (1979), University of Santiago de Compostela, thesis: "Multiobjective Problems Domination Structures" Research Interests: His work centers on advanced optimization techniques, including nonsmooth minimization, fractional programming, and the application of duality principles in multiobjective systems. His studies often bridge theoretical foundations with practical decision-making frameworks in operational research. Collaborations: Co-authored papers with Shouyang Wang, Zhongfei Li, and other international researchers in optimization and operations research. Labs/Teams: Member of the MODESTYA research group focused on optimization, decision models, and statistical applications.

• Computational Electromagnetics
• Antenna Design
• Numerical Methods in Electromagnetics
• +۳ مورد دیگر

Iván González Diego is an Associate Professor at the University of Alcalá's Department of Computer Science, affiliated with the GEC Grupo de Electromagnetismo Computacional (Computational Electromagnetic Group) . He holds a Ph.D. from the University of Alcalá (2004) for his thesis on improving the Geometrical Theory of Diffraction (GTD) for complex radiative systems. His work focuses on computational electromagnetics, antenna design, and advanced numerical techniques such as the Method of Moments (MoM), Multilevel Fast Multipole Method (MLFMM), and hybrid approaches combining asymptotic and rigorous methods. Key research areas include electromagnetic scattering analysis of large structures, reflectarray antenna design, and optimization of radio frequency systems using evolutionary algorithms. He has developed tools like NEWFASANT and MONURBS for electromagnetic simulations and pre-processing. His contributions span radar systems, V2X communication channels, and antenna-radome interaction studies. Publications highlight advancements in accelerating ray-tracing, improving preconditioners for iterative solvers, and analyzing wind turbines' electromagnetic interference. Notably, his work on multi-beam reflectarray antennas and efficient mesh generation techniques has been widely applied in aerospace and satellite communication contexts.

• Artificial Intelligence
• Machine Learning
• Optimization Algorithms
• +۵ مورد دیگر

Professor José Manuel Lanza Gutiérrez is affiliated with the Department of Computer Science at the University of Alcalá. He leads research in artificial intelligence, machine learning, and optimization algorithms, focusing on applications in wireless sensor networks, edge computing, and affective computing. He is part of the INTELIA (Interaction Technologies and Artificial Intelligence Lab), TIFyC (Information Technologies for Training and Knowledge), and PMI (Intelligent Mobile Platforms) research groups. He earned his PhD from the University of Extremadura in 2015, with a thesis on multiobjective metaheuristics for wireless sensor network optimization, supervised by Dr. Juan Antonio Gómez Pulido. His research interests span emotion recognition, IoT security, and optimization techniques for cryptography and sensor networks. Recent work includes the WEMAC dataset for emotion recognition, the Bindi wearable system to combat gender-based violence, and edge computing for healthcare monitoring. Publications highlight trends in multimodal affective computing, metaheuristic-based cryptographic solutions, and IoT-driven healthcare systems. His work bridges theoretical optimization with practical applications in safety, healthcare, and social justice. Lanza Gutiérrez has contributed to multiple collaborative projects and integrates machine learning with embedded systems for real-world impact. His labs and teams focus on interdisciplinary solutions for smart technologies and societal challenges.

• Operations Research
• Mathematical Programming
• Combinatorial Optimization
• +۹ مورد دیگر

Vicente Campos Aucejo is a Titular de Universidad (Associate Professor) in the Department of Statistics and Operations Research at the Universitat de València . He holds a Ph.D. in Mathematics, awarded in 1982 for his thesis on optimal Eulerian circuits and the mixed postman problem, supervised by Dr. Marco A. López Cerdá. His academic career is deeply rooted in combinatorial optimization and operations research. His primary research interests lie in arc routing problems , vehicle routing , matrix bandwidth minimization , and permutation problems . He is a leading expert in metaheuristic methods, particularly tabu search , GRASP (Greedy Randomized Adaptive Search Procedure), and scatter search , applying these techniques to solve complex NP-hard optimization problems. His work bridges theoretical developments with practical algorithmic implementations. An analysis of his 15 most recent publications reveals a consistent focus on combinatorial optimization using metaheuristics . His research spans applications in graph theory (e.g., hull number, dispersion problems), algorithm design (e.g., branch and bound, adaptive memory programming), and comparative studies of optimization frameworks (e.g., GRASP vs. genetic algorithms). The dominant keywords across his work are Operations Research, Computer Science, and Combinatorics, with a clear emphasis on developing and refining heuristic and exact solution methods. Collaboration is a hallmark of his research. He has co-authored extensively with prominent scholars such as Rafael Martí , Manuel Laguna , Angel Corberán , and Fred Glover , indicating strong international ties and integration within the optimization research community. His work is regularly published in high-impact journals like the European Journal of Operational Research , Computers & Operations Research , and Discrete Applied Mathematics . While specific details about student advising, grants, or laboratory affiliations are not available in the provided text, his long-standing publication record and senior academic title suggest a significant role in mentoring and research leadership. There is no indication of any scientific awards in the provided information.

• Operations Research
• Mathematical Programming
• Fuzzy Optimization
• +۸ مورد دیگر

Maria Teresa León Mendoza is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, Universitat de València. She is affiliated with the IARM (Image Analysis, Modelling and Retrieval) research group, reflecting her interdisciplinary work in data analysis and image processing. Doctorate: Universitat de València, 1992 Thesis: Un algoritmo primal para el problema continuo de programación semi-infinita lineal Supervisor: Dr. Enriqueta Vercher González Her research focuses on Operations Research , Mathematical Programming , and Fuzzy Optimization , with significant contributions to semi-infinite programming, data envelopment analysis (DEA), and portfolio selection under uncertainty. She has also applied mathematical methods to diverse areas such as image retrieval and musical tuning systems, demonstrating a broad interdisciplinary reach. Her publication record since 1992 shows a consistent focus on optimization under uncertainty, fuzzy methods for decision-making, and numerical algorithms. She frequently collaborates with researchers like Vicente Liern and Enriqueta Vercher, and her work is published in top journals such as European Journal of Operational Research and Fuzzy Sets and Systems . There is no mention of scientific awards in the provided sources. Maria Teresa León Mendoza has supervised at least one PhD student (Dr. Enriqueta Vercher González, who later became her supervisor, suggesting a long-standing academic collaboration), and she has been involved in multiple research projects, though specific grant details are not listed. Her work bridges theoretical optimization and practical applications in economics, finance, and engineering. She is actively involved in the IARM research group, which specializes in image analysis and retrieval, indicating ongoing research in machine learning and pattern recognition applications.

Rafael Martí Cunqueroمشاهده پروفایل

استاد

• Operations Research
• Mathematical Programming
• Combinatorial Optimization
• +۸ مورد دیگر

Rafael Martí Cunquero is a Full Professor ( Catedrático de Universidad ) in the Department of Statistics and Operations Research at the Faculty of Mathematics, University of Valencia, Spain. He leads the OPTIMATH Optimization and Mathematical Modelling research group and maintains an active research profile with a focus on optimization and heuristics. Research Interests: His primary fields of interest include Operations Research, Combinatorial Optimization, Metaheuristics (especially Scatter Search, GRASP, and Tabu Search), Global Optimization, Graph Drawing, and Network Design. His work bridges theoretical development and practical application in complex decision-making problems. The analysis of his recent publications reveals a consistent focus on developing and applying advanced metaheuristic methods—particularly hybridizations of GRASP, path relinking, scatter search, and variable neighborhood search—to challenging combinatorial optimization problems. Key application areas include graph drawing (e.g., edge crossing minimization), location problems (e.g., p-median, hub location), diversity and dispersion maximization, and routing. His work often emphasizes both algorithmic innovation and empirical validation. Dr. Martí has made substantial contributions to the field, co-authoring foundational texts on scatter search and editing comprehensive handbooks on heuristics. His research is supported by extensive collaborations, particularly with Manuel Laguna, Fred Glover, and Abraham Duarte.

• Spatial Statistics
• Biostatistics
• Econometrics
• +۴ مورد دیگر

Dr. Paula Camelia Trandafir is a Professor at the Department of Statistics, Computer Science and Mathematics at the Public University of Navarra. She is affiliated with the InaMat2 Institute for Research in Advanced Materials and Mathematics, with a focus on spatial statistics. Her research spans interdisciplinary areas including Biostatistics Optimal Experimental Design Public Health Operations Research Health Professions Education Her recent publications emphasize spatial modeling, healthcare analytics, and optimization techniques applied to clinical and public health challenges, with notable work in kriging, breast surgery symmetry assessment, and pediatric nutrition. Scientific awards include the 2023 Movilidad PDI grant from the Public University of Navarra. She has advised doctoral research on emotional perception in nursing students and contributed to projects analyzing abdominal aortic aneurysms, economic modeling, and healthcare resource allocation.

María Beatriz Hernández Jiménezمشاهده پروفایل

استاد

• Operations Research
• Mathematical Programming
• Optimization Theory
• +۶ مورد دیگر

María Beatriz Hernández Jiménez is a Full Professor at Pablo de Olavide University, affiliated with the Department of Economics, Quantitative Methods and Economic History. She earned her PhD from the University of Seville in 2007, supervised by Dr. Marko Antonio Rojas-Medar and Dr. Rafaela Osuna Gómez, with a thesis titled 'Generalized Convexity in Non-Regular Optimization Problems'. Research Focus Her work centers on mathematical optimization under uncertainty , specializing in generalized convexity, interval-valued functions, fuzzy programming, and multiobjective decision-making. Key areas include: Development of optimality conditions for non-differentiable and interval-valued systems Duality theory in Riemannian manifolds and conic-constrained problems Efficiency analysis in multiobjective optimization Publication Trends Her 15 most recent articles (2013–2023) reveal a strong emphasis on generalizing differentiability concepts (e.g., Hukuhara derivatives for interval-valued functions) and extending optimality frameworks to fuzzy/interval contexts. Over 60% of these works address multiobjective or non-regular problems, often incorporating variational inequalities, conic constraints, or Riemannian geometry. Collaborations She frequently collaborates with researchers at the intersection of optimization and applied mathematics, including Rafaela Osuna-Gómez and Gabriel Ruiz-Garzón.

José Antonio Vilchez Membrillaمشاهده پروفایل

پژوهشگر

• Electronics
• Bioengineering
• Electromagnetic Design
• +۳ مورد دیگر

José Antonio Vilchez Membrilla is a researcher at the University of Cádiz, affiliated with the Department of Automation, Electronics, Architecture and Computer Networks Engineering. He is associated with the TIC138 research group Electronic and Electromagnetic Design and focuses on Information and Communication Technologies (PAIDI Areas). Education: PhD in Bioengineering and Electronics (2024) from the University of Cádiz, supervised by Dr. Clemente Cobos Sánchez and Dr. Mario Alberto Fernandez Pantoja. Research Interests: Specializes in electromagnetic device design for biomedical applications, including transcranial magnetic stimulation (TMS) coils, low-noise magnetic measurement systems for space missions, and optimization algorithms for complex engineering problems. His work bridges applied mathematics, neuroscience, and aerospace technology. Scientific Collaborations: Collaborated on advanced TMS coil designs for cortical and cerebellar stimulation, as well as CubeSat-based magnetoresistive measurement systems. Supervised by experts in electromagnetic design and bioengineering.

Julio Cesar Puche Regalizaمشاهده پروفایل

استاد

• Organizational Cybernetics
• Metaheuristics
• Supply Chain Management
• +۵ مورد دیگر

Julio Cesar Puche Regaliza is a Professor at the Department of Applied Economics within the College of Economic and Business Sciences at the University of Burgos (UBU). He holds a PhD in Organizational Cybernetics from Universidad de Valladolid, focusing on software project management through the Viable System Model. As a member of the GRINUBUMET Metaheuristic research group, his work bridges organizational theory, metaheuristics, and supply chain optimization. PhD in Organizational Cybernetics (Universidad de Valladolid, 2009) Supervised by Dr. José Pérez Ríos His research spans organizational cybernetics , metaheuristic algorithms , and supply chain dynamics , with applications in manufacturing, tourism, and public service optimization. Recent publications address e-learning impacts on education, uncertainty quantification in production systems, and sustainable value creation through quality management frameworks. The 15 most recent publications highlight his expertise in agent-based simulation for production systems, Viable System Model applications in manufacturing, and multiobjective optimization of socially responsible investment portfolios. His work frequently intersects operations research , organizational theory , and metaheuristic algorithms . He actively contributes to academic discourse through conference presentations at venues like: International Conference on Industrial Engineering and Industrial Management (ICIEM) World Congress in Computer Science, Computer Engineering and Applied Computing (CSCE) European Conference on Operational Research (EURO)