جستجوی استاد راهنمای دانشگاهی

• Bioinformatics
• Computational Biology
• Image Processing
• +۶ مورد دیگر

Arnau Mir Torres is a University Professor at the University of the Balearic Islands (UIB) within the Department of Computer Science and Artificial Intelligence. He contributes to the School of Mathematics and Computer Science, aligning his work with the Biología Computacional y Bioinformática (BIOCOM) , Modelización de Datos y Aprendizaje Estadístico (MoDAE) , and Soft Computing, Image Processing and Aggregation (SCOPIA) research groups. His academic journey began with a degree in 1987, followed by a doctoral thesis completed in 1994 at the University of Barcelona. In 1995–2006, he collaborated with CSIC Research Professor Pedro Salvador on semiconductor characterization using photoelectrochemical imaging and co-directed two doctoral theses with Excellent Cum Laude honors at UIB. Since 2006, his focus has shifted to balance indices for binary trees under evolutionary models (Yule, uniform, Ford alpha-gamma) and fuzzy techniques for medical image denoising and contour detection, co-supervising another Excellent Cum Laude thesis in July 2020. His research spans Q1/Q2 journal articles (over 30) and conference/book chapters (over 50), with active participation in three R&D&I structures. Awards include a 2016 Sexenio de Investigación (six-year research fellowship), reflecting sustained academic contributions. Teaching roles include advanced statistics, numerical methods, and statistical learning across bachelor’s and dual-degree programs in Mathematics and Engineering.

• Fuzzy Logic
• Aggregation Functions
• Logical Connectives
• +۳ مورد دیگر

Dr. Juan Vicente Riera Clapés is a Full Professor at the University of the Balearic Islands in the Department of Mathematics and Computer Science. He also serves as a secondary school teacher but is currently on leave of absence. He teaches courses in Primary Education and the Master's Degree in Teacher Training, acting as an academic tutor for the latter. His research focuses on fuzzy logic, particularly aggregation functions, logical connectives, discrete fuzzy numbers, and decision-making processes. He is a member of the Soft Computing, Image Processing, and Aggregation (SCOPIA) research group, with publications in international scientific journals and contributions to over twenty national and international conferences. As a reviewer for leading journals in his field, he contributes to academic quality assurance. He has organized special sessions at conferences and actively participated in teacher training courses as a coordinator, speaker, and assistant. Additionally, he has supervised various undergraduate and master's theses, with two recognized six-year research periods and three five-year teaching periods. He is affiliated with the University of Salamanca (Bachelor's) and the University of the Balearic Islands (PhD). His teaching spans multiple programs, including Mathematics, Primary Education, and Teacher Training, with active involvement in curriculum design and academic tutoring.

• Fuzzy Logic
• Digital Image Processing
• Soft Computing
• +۲ مورد دیگر

Daniel Ruiz Aguilera is an Associate Professor at the University of the Balearic Islands (UIB) within the Department of Computer Science and Artificial Intelligence, Faculty of Mathematics and Computer Science. He has served as faculty since 2006 and currently co-directs the Master's Degree in Teacher Training program, while teaching across Mathematics, Primary Education, and Teacher Training degrees with significant involvement in thesis supervision and teacher training initiatives in the Balearic Islands. Education: Bachelor's Degree in Mathematics (2001), University of the Balearic Islands PhD in Mathematics (2007), University of the Balearic Islands Research Focus: His primary research centers on Fuzzy Logic , specifically logical operators and their applications in Digital Image Processing as a core member of the Soft Computing, Image Processing, and Aggregation (SCOPIA) research group. Complementing this, he actively publishes on innovation in Mathematics Education for preschool through secondary levels, emphasizing practical methodologies for the Balearic Islands educational system. Professional Contributions: Ruiz Aguilera directed the 'University Expert in Mathematics of Primary Education' postgraduate course since 2016-2017 and participated in establishing the Regional Ministry of Education's Center for Scientific and Mathematical Learning (CentMat). His teaching spans five academic years (2020-21 to 2024-25) across 10 distinct courses including Mathematics Didactics, Statistics Techniques with Imprecise Information, and thesis supervision, with consistent involvement in the Master's in Teacher Training program.

• Industrial Automation
• Intelligent Control Systems
• Internet of Things (IoT)
• +۵ مورد دیگر

Héctor Quintián Pardo is a Professor in the Department of Systems and Automation Engineering at the School of Engineering of Ferrol, Universidade da Coruña (UDC). His academic work spans teaching and research in industrial automation, intelligent control systems, and Internet of Things (IoT) applications. He teaches numerous courses across undergraduate and master's programs including Intelligent Control and Supervision Systems, Electronics and Instrumentation, Industrial Internet of Things, Mobile Robotics, and Embedded Systems. His research interests focus on the application of artificial intelligence and machine learning techniques to industrial automation problems. Quintián Pardo has directed numerous bachelor's and master's theses on topics ranging from control systems design to IoT implementations for water quality monitoring and photovoltaic power prediction. His work demonstrates a strong emphasis on practical applications of computational intelligence in engineering contexts. His publication record shows consistent output in reputable journals including Neurocomputing, Applied Artificial Intelligence, and the Logic Journal of the IGPL, with recent work focusing on intelligent control systems, machine learning applications, and cyber-physical systems. The research trends indicate a growing emphasis on IoT integration with industrial systems and the application of advanced computational methods to engineering problems. Quintián Pardo serves as Principal Investigator on multiple research projects funded by diverse entities including the European Union, Nuclear Safety Council, Spanish Foundation for Science and Technology, and various industrial partners. His research portfolio demonstrates strong connections between academic research and industrial applications. He maintains regular office hours at the Batallones Building (2A) on Tuesdays and Wednesdays from 12:30 to 14:30 during the second semester, indicating active engagement with students beyond classroom instruction.

Daniel Ruiz Aguileraمشاهده پروفایل

مدرس ارشد

• Fuzzy Logic
• Mathematical Education
• Digital Image Processing
• +۳ مورد دیگر

Daniel Ruiz Aguilera is a Senior Lecturer in the Department of Mathematics and Computer Science at the University of the Balearic Islands (UIB). His research focuses on fuzzy logic, particularly the development of logic operators such as conjunctions and implications, and their applications in digital image processing and mathematical education innovation. University: University of the Balearic Islands (UIB) Academic Rank: Senior Lecturer Department: Mathematics and Computer Science Research Interests: Ruiz Aguilera's work spans fuzzy logic, soft computing, and the didactics of mathematics. He has contributed to theoretical advancements in uninorms, nullnorms, and aggregation functions, while also applying these concepts to practical problems like image denoising and educational methodologies. Article Trends: His publications emphasize functional equations for uninorms, distributivity properties, and applications of interval-valued fuzzy sets in decision-making, image processing, and uncertainty management. Key subfields include t-norms, aggregation functions, mathematical morphology, and educational technology. Academic Involvement: He has taught courses across multiple programs, including Primary Education, Mathematics, and Teacher Training, and is affiliated with the research group Soft Computing, Image Processing and Aggregation (SCOPIA).

• 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.

• Fuzzy Logic
• Economics
• Business Management
• +۳ مورد دیگر

Joan Carles is a Professor at the School of Economics, Department of Business Administration, at the University of Girona. He is co-responsible for the Research Group in Accounting and Mathematics for Economics and Business. Graduate in Mathematical Sciences (1982), University of Barcelona Diploma in Scientific Applications Programming (1982), University of Barcelona Master's in Teaching Mathematics and Experimental Sciences (1995), Autonomous University of Barcelona / University of Girona Doctor in Economic and Business Sciences (1997), University of Girona His research focuses on applying fuzzy logic to economic and business management, particularly for classifying objects under uncertainty. He also explores expert systems through opinion aggregation techniques and uses neural networks for forecasting economic variables. Joan Carles' work is associated with mathematical modeling in economics and interdisciplinary applications of artificial intelligence. He has no listed scientific awards or publications in the provided text.

• 3D Printing
• Computer Graphics
• Swarm Robotics
• +۴ مورد دیگر

Juan Antonio Puchol García is a Professor at the University of Alicante within the College of Engineering 's Department of Computer Science and Artificial Intelligence . He has taught courses like Computer Graphics , Software Project Management , and Foundations of Informatics for thousands of students since 1994. His research focuses on 3D printing , virtual reality , and swarm robotics . Doctor of Computer Engineering (University of Alicante, 2001) Graduate in Computer Science (Polytechnic University of Valencia, 1991) Research trends include: 3D printing applications in architecture (2020 Remote Sensing publication) Swarm robotics system architecture (2011 Advances in Intelligent and Soft Computing) Project-Based Learning implementation in European Higher Education (2007-2017 educational publications) Geometric modeling techniques (1999 CEIG conference papers) Active in educational innovation projects since 2002 with funding from European Commission and Spanish Ministry of Economy. Currently coordinates Industrial Computing and Artificial Intelligence research group while managing European Academic Information Systems infrastructure.

• Business Management
• Information Systems
• Fuzzy Cognitive Maps
• +۴ مورد دیگر

Jose Luis Salmeron Silvera is a University Professor at Universidad Pablo de Olavide (UPO) in Spain, affiliated with the Department of Business Organization and Marketing within the School of Business. His research focuses on the intersection of business management, information systems, and artificial intelligence, particularly through the lens of fuzzy cognitive maps and grey systems theory. Dr. Salmeron holds two PhD degrees: one from the University of Almería (2014) with thesis "Modeling of complex adaptive systems using fuzzy cognitive maps," supervised by Dr. José Antonio Torres Arriaza, and another from the University of Huelva (2000) with thesis "Information systems for management: a systemic approach," supervised by Dr. Paula Luna Huertas and Dr. Francisco José Martínez López. He supervises doctoral students in Engineering, Data Science and Bioinformatics, and Information Systems and Supply Chain Management programs. His research interests center around fuzzy cognitive maps , grey systems theory , and their applications in business decision-making, risk management, and complex system modeling. Dr. Salmeron has made significant contributions to extending traditional fuzzy cognitive maps with grey theory to handle uncertainty in environments with incomplete or imprecise data. His work bridges theoretical advancements in artificial intelligence with practical applications across healthcare, business management, and engineering domains. Dr. Salmeron's research has evolved from foundational work in fuzzy cognitive maps for business applications to more recent innovations incorporating federated learning, privacy-preserving techniques, and quantum-inspired approaches. His publications demonstrate a consistent focus on developing interpretable AI systems that can function effectively with limited or uncertain data, making his work particularly valuable for real-world applications where perfect information is rarely available. Among his notable achievements is the development of methods for learning fuzzy grey cognitive maps using nonlinear Hebbian-based approaches, which has found applications in medical decision support systems, particularly in radiotherapy treatment planning. His work has been cited in various fields including computer science, operations research, and biomedical engineering. Dr. Salmeron actively collaborates with researchers internationally, with notable co-authors including Elpiniki I. Papageorgiou and Salvador Bueno. His research group "STI Information Systems and Technologies" focuses on the application of advanced computational methods to solve complex business and engineering problems. Previously, he was also part of the "INFORMATION, ENVIRONMENT AND CHANGE" research group, reflecting the interdisciplinary nature of his work.

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.

• Topology
• Fuzzy Logic
• Data Aggregation
• +۱ مورد دیگر

Sergio Ardanza-Trevijano Moras serves as an Associate Professor in the Department of Applied Physics and Mathematics at the Faculty of Sciences, University of Navarra, where he leads cutting-edge research in mathematical sciences. His research program centers on three interconnected domains: Topology : Investigating structural properties of spaces invariant under continuous deformations Fuzzy Logic : Developing computational frameworks for reasoning under uncertainty Data Aggregation : Creating mathematical models for synthesizing heterogeneous data sources Through the TOPYLF research group, he fosters collaborative work bridging theoretical topology with practical applications in data science. His supervision of graduate theses indicates active mentorship in these specialized mathematical disciplines, though specific lab resources or grant details remain unspecified in available documentation.

• Fuzzy Logic Programming
• Fuzzy Deductive Databases
• Automatic Program Transformation
• +۴ مورد دیگر

Pascual Julián-Iranzo is an Associate Professor in the Information Technologies and Systems Department at the Higher School of Computer Science, University of Castilla-La Mancha (UCLM), where he has served since April 2003. He is a founding member and current co-director of the DEC-tau research group focused on Declarative Programming and Automatic Program Transformation. His academic career includes over 27 years of university teaching experience across various positions, with significant contributions to curriculum development including the Degree Curriculum in Computer Engineering (2008/09 and 2009/10). Education Background: Doctor in Computer Science (1994-2000) from Universitat Politècnica de València, Department of Computer Systems and Computation His research centers on declarative programming languages with emphasis on fuzzy logic programming, functional-logic paradigm integration, and automatic program transformation. He pioneered work in proximity-based reasoning systems like Bousi-Prolog and FASILL, developing novel approaches for similarity-based unification, thresholded tabulation, and fuzzy deductive databases. His publications demonstrate consistent innovation in fuzzy logic semantics, particularly in handling truth degrees and semantic similarity measures for knowledge representation. Analysis of his 15 most recent publications reveals a strong trajectory in formalizing fuzzy logic programming frameworks, with increasing focus on practical implementations (2018-2023) after establishing theoretical foundations (2015-2017). Key thematic clusters include proximity-based unification algorithms (2018-2021), semantic frameworks for truth degree management (2016-2017), and real-world applications in natural language processing (2021) and security systems (2017). Research Recognition: Positive evaluation by CENAI for three consecutive research periods: [1997-2002], [2003-2008], and [2009-2014] Consistent publication record with 24 scientific journal articles (16 JCR-indexed) As an academic leader, Julián-Iranzo has supervised 2 doctoral theses and chaired the PROLE 2021 Conference Program Committee. His grant portfolio includes significant European funding, notably the MERINET project (2016-2019) supported by ERDF and MINECO. He has served on 12 conference program committees and reviewed for top journals including Journal of Theory and Practice of Logic Programming. His DEC-tau research group maintains active international collaborations, evidenced by coordination of the UCLM node in the ALFA Lernet Project (2005-2009) and partnership with Argentina's National University of San Luis (2009-2013).

• Fuzzy Logic
• Machine Learning
• Time Series Analysis
• +۴ مورد دیگر

Luis Rodríguez Benitez is an Associate Professor at the University of Castilla-La Mancha, affiliated with the Department of Information Technologies and Systems. His academic work bridges theoretical computer science and applied domains, with sustained contributions to computational intelligence methodologies. His research integrates: Fuzzy systems for linguistic data description Machine learning in transportation and environmental contexts Time-series analysis using evolutionary and prototyping approaches Software development for scientific computing (e.g., EEG analysis tools) Recent publications (2014–2025) demonstrate: Advancements in kernel methods for discrete choice modeling Novel applications of fuzzy logic in sustainability science Efficiency-focused algorithms for large datasets Interdisciplinary work spanning neurocomputing, transportation, and IoT

Gabriel Jaume Martínمشاهده پروفایل

پژوهشگر

• Fuzzy Logic
• Topological Data Analysis
• Discrete Mathematics
• +۱ مورد دیگر

Gabriel Jaume Martín is a researcher in the School of Mathematics and Computer Science at the University of the Balearic Islands (UIB). He actively teaches Discrete Mathematics and Optimization courses across multiple degree programs, including Informatics Engineering, Economics, and Tourism. His research focuses on fuzzy information processing and topological models through his membership in the MOTIBO R+D+I group. Research Interests Topological Models for Fuzzy Systems Discrete Mathematics Applications Optimization Algorithms Academic Affiliation Institution: University of the Balearic Islands (UIB) Research Group: MOTIBO (Topological Models for Fuzzy Information Processing)

Arnau Mir Fuentesمشاهده پروفایل

پژوهشگر ارشد

• Algebra
• Discrete Mathematics
• Geometry
• +۳ مورد دیگر

Arnau Mir Fuentes serves as a Research Fellow at the School of Mathematics and Computer Science, University of the Balearic Islands (UIB), holding a formal position under Chapter 6 (Training Research Staff Chapter I). He actively teaches advanced undergraduate courses including Abstract Algebra II/III, Discrete Mathematics, and Introduction to Geometry across Mathematics, Informatics Engineering, and Telematics Engineering programs for academic years 2024-25 and 2025-26 across Majorca, Ibiza, and Minorca campuses. His research centers on topological structures in fuzzy information systems, evidenced by membership in the Consolidated R+D+I Group "Topological Models for Fuzzy Information Processing (MOTIBO)". Core interests span Algebra, Discrete Mathematics, and Geometry from his teaching portfolio, extended into specialized domains of Topology, Fuzzy Logic, and Information Processing through his research group affiliation. This intersection drives theoretical applications in computational mathematics and data modeling. Dr. Mir Fuentes maintains standard faculty responsibilities including student tutoring by appointment, as indicated by office hour protocols. While his staff page references an ORCID profile suggesting scholarly publications, no specific grants, advising records, or collaborative projects beyond MOTIBO are documented. His role exemplifies integrated teaching-research activity within UIB's mathematics discipline, though granular details about supervision or funding remain undisclosed in available materials.