جست‌وجوی استاد و پژوهشگر

• Systems Engineering
• Automation and Control Systems
• Ergonomic Risk Prevention
• +۳ مورد دیگر

Benigno Antonio Rodríguez Gómez is a Professor in the Department of Industrial Engineering at the University of A Coruña, with a focus on Systems and Automation Engineering. He teaches across multiple programs including Naval Engineering, Marine Technologies, and Occupational Risk Prevention, with extensive experience in maritime-related disciplines. College: Escola Técnica Superior de Náutica e Máquinas Research: Cyber Science and Technology group Teaching: Automation, Control Systems, Ergonomics, Energy Efficiency His research bridges automation systems with ergonomic risk prevention , particularly in maritime environments. Recent work explores remote monitoring in refrigerated containers, photovoltaic water pumping systems, and ergonomic risk assessment in non-office work settings. Articles demonstrate expertise in control algorithms , maritime technology , and sustainable engineering applications. Publications span journals like Applied Sciences , Journal of Radiological Protection , and Solar Energy , with interdisciplinary collaboration in maritime, electrical, and ergonomic fields. He supervises final degree projects and master's theses, with notable contributions to maritime ergonomics and energy systems. Grants include national and regional funding from Spain's Ministry of Science, National Institute of Cybersecurity, and Xunta de Galicia. Labs and teams include the Cyber Science and Technology Research Group, collaborating with institutions like Universidade da Coruña and Universidad de Vigo. His work impacts occupational risk prevention, maritime engineering, and renewable energy integration.

• Chemical Engineering
• Environmental Engineering
• Waste Management
• +۳ مورد دیگر

Enrique Roca Bordello is a Professor at the Department of Chemical Engineering, University of Santiago de Compostela. His research focuses on sustainable processes and environmental engineering, with emphasis on waste management, ecological footprint analysis, and bioreactor optimization. He completed his PhD in 1993 with a thesis on bioreactor design and has been affiliated with the PRODES research group since then. His work integrates chemical engineering principles with environmental sustainability, addressing challenges in wastewater treatment, industrial ecology, and risk assessment for agricultural practices. Notable projects include evaluating ecological footprints in supply chains and developing decision support systems for sustainable product design. His publications span topics like anaerobic digestion modeling, heavy metal pollution in recycled materials, and municipal solid waste management strategies. He has contributed to multi-criteria analysis frameworks for corporate environmental evaluation and eco-design methodologies.

Isabel María Aguiló Ponsمشاهده پروفایل

مدرس ارشد

• Artificial Intelligence
• Mathematics
• Fuzzy Logic
• +۳ مورد دیگر

Dr. Isabel María Aguiló Pons is a Senior Lecturer in the Department of Mathematics and Computer Science at the University of the Balearic Islands. She has maintained continuous employment at the university since 1986 and currently teaches Mathematics II - Calculus across multiple Informatics Engineering programs on Majorca, Ibiza, and Minorca campuses, as well as Optimization courses for Economics students. Her educational background includes a B.S. in Mathematics from the Universitat Autònoma de Barcelona (1981) and a Ph.D. in Computer Science from the University of the Balearic Islands (2003). She maintains an active teaching schedule spanning from the 2020-21 academic year through the upcoming 2025-26 term. Dr. Aguiló Pons' research focuses on theoretical aspects of computational intelligence: Aggregation operators and their mathematical properties Fuzzy connectives in soft computing systems Functional equations in mathematical modeling She is an active member of the SCOPIA (Soft Computing, Image Processing and Aggregation) research group, classified as a Consolidated R+D+I Group at the university. Her office is located in room 116 on the first floor of the Anselm Turmeda building, with contact phone number 971 172900 (extension 2900).

• Fuzzy Mathematics
• Order Theory
• Social Choice Theory
• +۵ مورد دیگر

María Jesús Campión Arrastia is a Full Professor at the Department of Statistics, Computer Science and Mathematics within the Public University of Navarra . Her academic career spans over 20 years, with significant contributions to fuzzy logic, social choice theory, utility functions, and aggregation of preferences. She holds a PhD in Mathematics (2004) and has been part of the Institute for Advanced Research in Business and Economics (INARBE). Research Interests: Her work bridges mathematical structures (fuzzy sets, order theory, topologies) with economic and social applications (preference modeling, welfare analysis). Key areas include functional equations, representability of orderings, and innovative educational approaches using fuzzy logic. She has supervised two doctoral theses and participated in 10+ funded research projects, including the Chair of Social Economy and Cooperativism (2022-2026). Publications: With 44 journal articles and 7 book chapters, her research explores mapping fuzzy preferences to topological frameworks, axiomatic entropy, and applications of functional equations. Notable collaborations include publications with Humberto Bustince, Esteban Indurain, and Armajac Raventós Pujol. Awards: Premio extraordinario de licenciatura (Extraordinary Degree Award), Universidad de Zaragoza (2011) Grants: Recipient of 11 research grants, including the MARGARITA SALAS predoctoral program (2022-2024) and projects analyzing waste management sustainability, labor markets, and social economy.

Miguel Baldomero Ramírez Fernándezمشاهده پروفایل

دانشیار

• Massive Open Online Courses (MOOCs)
• Fuzzy Logic
• Virtual Education Quality Assessment
• +۴ مورد دیگر

Miguel Baldomero Ramírez Fernández is an Associate Professor at the Faculty of Education , Universidad Pablo de Olavide, Spain. His work in the Department of Education and Social Psychology focuses on MOOCs quality assessment, fuzzy logic applications, and competency-based teacher training. Research Groups: EDUINNO (Eduinnovagogía), STI (Information Systems and Technologies) Key Tools: Developed EduTool® for MOOC quality certification Research Trends (2015-2023): His publications analyze MOOC pedagogy, fuzzy logic weighting systems, and quality compliance with UNE 66181. Key platforms studied include EdX, Coursera, Udacity, and MiríadaX. Notable Findings: Coursera (66.34% quality), EdX (62.62%), Udacity (54.92%), MiríadaX (50.40%)

Christopher Joseph Carmona del Jesusمشاهده پروفایل

استاد

• Data Science
• Big Data
• Subgroup Discovery
• +۳ مورد دیگر

Christopher Joseph Carmona del Jesus serves as a University Professor in the Department of Computer Science at the University of Jaén, Spain, affiliated with the Andalusian Interuniversity Institute for Data Science and Computational Intelligence and leading the Intelligent Systems and Data Mining research group. His work bridges theoretical computational intelligence with practical applications across diverse domains. His academic credentials include: PhD in Computer Science, University of Jaén (2011) Master's in Computer Science, University of Jaén (2007) Dr. Carmona specializes in Data Science, Big Data, and Subgroup Discovery using evolutionary fuzzy systems for descriptive rule extraction. His research particularly emphasizes Supervised Descriptive Rule Discovery and Emerging Patterns in dynamic data streaming environments, developing algorithms that balance interpretability with predictive power for real-world datasets. Recent work extends these methods to healthcare diagnostics and renewable energy forecasting. Analysis of his 15 most recent publications (2022-2025) reveals a strong focus on data streaming algorithms (60% of works), explainable AI systems (30%), and cross-domain applications in healthcare (20%) and cybersecurity (15%). Key technical contributions include evolutionary fuzzy frameworks for multiclustering, federated descriptive rule extraction, and spiking neural networks for energy-efficient computing. No scientific awards are documented in the provided materials. While his research leadership is evident through the Intelligent Systems and Data Mining group, specific details regarding student supervision or grant funding are not included in the available information. His methodological innovations in subgroup discovery and data streaming continue to drive practical implementations through tools like SDRDPy and the Clustering R library. He actively contributes to the Andalusian Interuniversity Institute for Data Science and Computational Intelligence, fostering collaborations that integrate computational intelligence with domain-specific challenges in energy, healthcare, and education.

Marc Munar Covasمشاهده پروفایل

استادیار

• Fuzzy Logic
• Image Processing
• Artificial Intelligence
• +۳ مورد دیگر

Marc Munar Covas is an Assistant Professor at the Department of Mathematical Sciences and Computer Science, University of the Balearic Islands, since 2020. He holds a PhD in Information and Communication Technologies (2024), Master in Intelligent Systems (2020), and Degree in Mathematics (2019) from the same institution. Education: PhD (2024), Master (2020), Degree in Mathematics (2019) Research Affiliations: Member of SCOPIA research group, Collaborator of UGIVIA group His research focuses on theoretical and applied aspects of fuzzy logic operators, discrete mathematical morphology, and medical image analysis. He has contributed to projects involving abdominal surgery infection detection (Redscar app) and lung pathology identification (MIA4LUNG). His work integrates uncertainty processing with AI techniques for biomedical applications. Marc teaches mathematical analysis, statistics, and linear algebra across multiple degree programs, including Mathematics, Computer Engineering, and interdisciplinary double degrees. He participated in international collaborations at LORIA (France) and clinical validations at Son Espases University Hospital.

• Database Systems
• Fuzzy Logic
• Information Retrieval
• +۲ مورد دیگر

Carlos David Barranco González is a Professor at Universidad Pablo de Olavide in Seville, Spain. He is affiliated with the Department of Sports and Information Technology, working within the School of Engineering. His primary research group is DATAi (Intelligent Data Analysis), and he previously was part of the DASE (Data Analytics Science & Engineering) research group. He contributes to PhD programs in Engineering, Data Science, and Bioinformatics. Department: Sports and Information Technology Research Groups: DATAi Intelligent Data Analysis, formerly DASE Data Analytics Science & Engineering PAIDI Areas: Information and Communication Technologies Dr. Barranco's research focuses on database systems with a specialization in fuzzy logic applications. His work centers on developing efficient indexing techniques for fuzzy and possibilistic data, particularly using B+ tree structures to optimize query performance in fuzzy relational database management systems. His research bridges theoretical database concepts with practical implementation challenges in handling uncertain and imprecise information. His publication history shows a consistent research trajectory since 2008, with his most recent work in 2021 focusing on interval B+ trees for possibilistic numerical data. His research consistently addresses the challenge of implementing fuzzy query processing using traditional database indexing techniques, demonstrating how classical RDBMS structures can be adapted for fuzzy data handling. His work has primarily appeared in top-tier fuzzy systems journals like Fuzzy Sets and Systems. Throughout his career, Dr. Barranco has maintained strong collaborative relationships, particularly with Juan Miguel Medina Rodríguez (his PhD supervisor), Jesús Roque Campaña, and international collaborators like Guy De Tré and Robin de Mol. His research has been cited multiple times, indicating its relevance to the database and fuzzy systems communities. As an academic advisor, he supervises doctoral research within the Engineering, Data Science, and Bioinformatics PhD programs at Universidad Pablo de Olavide. His expertise in fuzzy database systems provides valuable guidance for students working on advanced database technologies and information retrieval systems.

Cornelius AM (Kees) van Gestelمشاهده پروفایل

دانشیار

• Ecotoxicology
• Soil Science
• Environmental Risk Assessment
• +۷ مورد دیگر

Dr. Cornelius AM (Kees) van Gestel is an Associate Professor in Ecotoxicology at the Faculty of Earth and Life Sciences, Vrije Universiteit Amsterdam. He holds a PhD from Utrecht University and previously graduated with distinction from Wageningen Agricultural University. Vrije Universiteit Amsterdam (current: Associate Professor of Ecotoxicology) Faculty of Earth and Life Sciences | Department of Ecological Science | Section Animal Ecology Research Interests: His work focuses on chemical toxicity to soil invertebrates, particularly examining bioavailability, toxicokinetics, toxicodynamics, and mixture toxicity. He investigates how soil properties affect metal and nanoparticle behavior, and how climate change alters pollution impacts. His research extends to risk assessment applications for new chemicals and waste streams. Developed toxicity tests with oribatid mites and earthworms Specializes in QSAR models for organic chemical toxicity Studies metal/nanoparticle bioaccumulation in terrestrial organisms Focuses on ecological processes like decomposition and nutrient cycling Scientific Contributions: With over 250 papers, 3 books, and 60 reports, he partners in European projects (NanoFASE, NanoFATE, AquaTerra) and BE Basic project dRISK. His editorial roles include Editor of Applied Soil Ecology and advisory board member for journals like Ecotoxicology . 2015 SETAC Europe/Noack Laboratories Environmental Education Award Advisory roles for Dutch Pesticide Act and Netherlands Health Council Education & Mentorship: Supervised 35+ PhD students researching organic chemicals, nanoparticles, and metals in soil systems. Senior lecturer in ecology and ecotoxicology at VU University, teaching BSc courses and PhD programs (SENSE, PET).

• Atmospheric Chemistry
• Methane Emissions
• Wildland-Urban Interface Fires
• +۴ مورد دیگر

Dr. Alba Àgueda Costafreda is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the School of Engineering of Barcelona Est (EEBE) and the Department of Chemical Engineering. She is a member of the CERTEC - Centre d'Estudis del Riss Tecnològic and the CER-H2 - Centre de Recerca de l'Hidrogen de la UPC research groups. Her research focuses on: Atmospheric chemistry and methane emissions monitoring Wildland-urban interface fire dynamics and risk assessment Environmental pollution and safety engineering Hydrogen research and sustainable technologies Dr. Àgueda Costafreda has an extensive publication record with 116 documented research activities spanning from 2004 to 2025. Her recent work demonstrates a strong interdisciplinary approach combining atmospheric science, fire safety engineering, and computational methods for risk assessment. She has been particularly active in studying methane fluxes in Mediterranean ecosystems and developing methodologies for vulnerability assessment in wildland-urban interfaces, with significant contributions to projects like the European Program for Wildfire-Prepared Communities and WUITIPS (Wildland-Urban-Interface Fire Touristic Intrastructures Protection Solutions). Her research has been published in high-impact journals such as Atmospheric Chemistry and Physics, Fire Safety Journal (with 5 publications), Chemical Engineering Transactions, and International Journal of Wildland Fire. She maintains extensive collaborations, particularly with Elsa Pastor Ferrer (77 joint publications) and Eulalia Planas Cuchi (74 joint publications), reflecting her position within a strong research network focused on environmental risk assessment and fire safety.

• Marketing
• Consumer Behavior
• Social Media Influence
• +۲ مورد دیگر

Mònica Casabayó Bonás serves as a Full Professor in the Marketing Department at ESADE School of Business Administration and Management, Ramon Llull University. She directs research at the Institute for Data-Driven Decisions and maintains an active scholarly profile with 43 scientific publications and 14 funded projects since 2004. Her research spans marketing, consumer behavior, and decision theory , with specialized focus on social media influence, educational transformation, and fuzzy linguistic modeling. Key themes include influencer marketing dynamics in Spanish contexts, Instagram's impact on youth materialism, and curriculum development for workplace readiness. Her work integrates computational methods like OWA-based clustering with consumer psychology frameworks. Current projects include the ESADE D3 Institute for Data-Driven Decisions (2022-2025), AGAUR-funded research on natural language processing for emotion assessment, and multi-criteria decision models using fuzzy linguistic terms. Her 2024 publications demonstrate ongoing engagement with business education reform and digital consumer behavior trends. Research collaborations span international networks with 6 similar-profile academics. Her fingerprint shows strong contributions to Marketing (94% Economics/Finance linkage) Influencer studies (57% Social Sciences focus) Social network analysis (47%) Spanish market research (50%) She contributes to UN Sustainable Development Goals through educational innovation and consumer behavior research.

Dolores Rosa Santos Peñateمشاهده پروفایل

استاد

• Optimization
• Location Theory
• Multicriteria Decision Making
• +۳ مورد دیگر

Dolores Rosa Santos Peñate is a Full Professor at the Department of Quantitative Methods in Economics and Management at the University of Las Palmas de Gran Canaria. She is affiliated with the Bayesian Statistical and Decision-Making Techniques in Economics and Business research group. Her teaching responsibilities include courses such as Mathematics for Economics III and Business Mathematics . Research Interests: Her work focuses on optimization, location theory, multicriteria decision analysis, and input-output analysis. She has applied these methodologies to competitive facility location problems, GIS-based decision support systems, and spatial economic modeling. Her research often integrates mathematical programming, metaheuristics (e.g., GRASP, PSO), and geographic information systems (GIS). Publications: Her recent work explores topics like tourist trip design optimization (2023), generalized discrete centroid problems (2019), and bibliometric analyses of research impact (2014). These articles reflect her expertise in both theoretical and applied operations research. Grants & Projects: She has led or participated in over 20 research projects, including: Técnicas de optimización y modelos en redes complejas (2015–2018, funded by Spanish Ministry of Economy) Red temática 'Localización y problemas afines' (multiple cycles, funded by national research agencies) Consulting for the Chilean Ministry of Transport (2015, funded by IADB) Labs/Teams: She collaborates with interdisciplinary teams in the Bayesian Techniques research group and contributes to the Quantitative and Computational Finance initiatives. She has also participated in international conferences on operations research and location analysis.

• Financial Economics
• Investment Analysis
• Risk Management
• +۳ مورد دیگر

Hon. Dr. José Antonio Redondo López is a Professor of Financial Economics at the University of Santiago de Compostela and a Full Member of the Royal Academy of Sciences of Galicia. He holds a PhD in Economics with an Extraordinary Award and has served as Vice Dean of the Faculty of Economics and Business Administration. His roles include founding director of the Department of Financial Economics and Accounting and co-director of the Galician Development Institute's Master's program. Education: PhD in Economics (University of Santiago de Compostela, Extraordinary Award), with additional teaching and research experience at the University of California, San Diego. He has held leadership positions in institutions such as the Consello de Contas of Galicia (since 2015) and the Instituto Galego da Vivenda e Solo. Research focuses on financial markets, risk management, portfolio theory, and behavioral finance. Notable works include studies on portfolio selection under uncertainty, fuzzy logic applications in finance, and crisis analysis. Key publications include 'Financial Theory and Crisis: A Review of Individual Rationality from Behavioral Theory' and 'Country Risk, Regulation, and Liquidity Transformation in Palestine and Neighboring Countries' (2018). Awards: Extraordinary PhD Award, Royal Academy of Sciences membership, and accolades for 'Financial Marketing.' His work bridges theoretical finance with practical applications in policy and institutional governance. Advising and grants: Supervised master's programs in Business Management, Agricultural Cooperatives, and Local Development. His research projects include 'Analysis of Stock Market Efficiency' and 'Venture Capital.' Active in advisory roles for entities like the IGAPE Council and Xestur Coruña. Labs/Teams: Integral to the Galician Development Institute and collaborative projects with international institutions, reflecting his expertise in applied economic analysis and policy design.

José Andrés Moreno Pérezمشاهده پروفایل

استاد

• Operations Research
• Optimization Algorithms
• Artificial Intelligence
• +۳ مورد دیگر

José Andrés Moreno Pérez is a Full Professor at the University of La Laguna, affiliated with the Department of Computer Science and Systems Engineering. His research focuses on optimization algorithms, heuristic methods, and operations research, particularly in facility location problems, variable neighborhood search, and combinatorial optimization. He holds leadership roles in the PhD programs in Mathematics and Statistics, and Industrial, Informatics, and Environmental Engineering. His work bridges theoretical advancements with practical applications in logistics, scheduling, and network design. Education: PhD in Mathematics from Universidad Complutense de Madrid (1986), thesis titled 'Localización minimax en grafos mixtos' under Dr. Francisco José Cano Sevilla. Research Interests: Development of metaheuristics (e.g., VNS, PSO), competitive location models, and algorithmic solutions for NP-hard problems. His contributions include seminal work on parallel variable neighborhood search and applications in telecommunications network optimization. Publications: Over 30 indexed publications since 1990, including influential papers on p-median problems, kernel search matheuristics, and leader-follower location models. His work has been cited over 400 times, reflecting significant impact in optimization communities. Labs/Teams: Lead researcher in the GCI (Computación Inteligente y Ciencia de Datos) group, fostering interdisciplinary projects in intelligent computing and data science.

Carlos D. Barrancoمشاهده پروفایل

استاد

• Computational Intelligence
• Fuzzy Logic
• Soft Computing
• +۷ مورد دیگر

Carlos D. Barranco is a Professor at Universidad Pablo de Olavide , Spain, with over two decades of experience in Computational Intelligence , Fuzzy Logic , and Soft Computing . His work focuses on applying these techniques to Big Data , Flexible Querying , and Imperfect Information Management in databases. He teaches courses in Computer Science at both bachelor's and master's levels, including Advanced Programming , Big Data , and Data Analysis in Digital Humanities . Research interests include: Fuzzy Database Systems : Developing indexing strategies for possibilistic and fuzzy numerical/temporal data to improve query efficiency in traditional RDBMS. Big Data Applications : Leveraging fuzzy logic in bioinformatics, energy consumption forecasting, and medical image retrieval. Interdisciplinary Work : Bridging computational methods with Digital Humanities (e.g., medieval charter databases) and Medical Imaging . Collaborations span institutions across Spain and Europe, with publications in journals like Applied Soft Computing , International Journal of Intelligent Systems , and IEEE Transactions on Fuzzy Systems . His work has been presented at major conferences including IWBBIO , FUZZ-IEEE , and Flexible Query Answering Systems . Contact: cdbargon@upo.es