جستجوی استاد راهنمای دانشگاهی

Puig Oriol, Xavierمشاهده پروفایل

استادیار

• Bayesian data analysis
• Model Based clustering
• Multinomial model
• +۷ مورد دیگر

Xavier Puig is an Assistant Professor at the Universitat Politècnica de Catalunya (UPC) , affiliated with the Department of Statistics and Operations Research and the School of Mathematics and Statistics (FME). He is a member of the ADBD - Analysis of Complex Data for Business Decisions and GRBIO - Biostatistics and Bioinformatics Research Group . His research focuses on Bayesian data analysis , with applications in Epidemiology Ecology Public health Political science Industrial quality control Marketing analytics Recent publications reveal a strong trend in Bayesian spatiotemporal modeling for health data, alcohol-migraine interaction studies, and industrial error rate monitoring . His work combines methodological innovation with real-world applications across diverse sectors. Collaborations include researchers from biostatistics, clinical epidemiology, and industrial engineering. He has contributed to 44 indexed journal articles and participated in 49 congress presentations , with recent projects focusing on competitive research and non-competitive industrial collaborations in statistical modeling.

• Game Theory
• Cooperative Games
• Voting Systems
• +۵ مورد دیگر

Francisco Carreras Escobar is a Professor in the Department of Applied Mathematics II at the School of Industrial and Aeronautical Engineering of Terrassa, Polytechnic University of Catalonia (UPC). With an extensive research career spanning over four decades from 1978 to present, he has established himself as a leading scholar in game theory and its applications. His work primarily focuses on cooperative games, coalition structures, voting systems, and power indices, with significant contributions to theoretical foundations and practical applications in political science and economics. His research interests encompass Game Theory, Cooperative Games, Voting Systems, Power Indices, Coalition Formation, Decision Theory, Political Game Theory, and Mathematical Economics. Carreras Escobar's work demonstrates how mathematical game theory can be applied to analyze political decision-making processes, parliamentary systems, and coalition formation in multi-agent environments. His research has evolved from foundational work on power indices in the 1980s to more complex analyses of coalition structures and stability in recent years. Analysis of his 15 most recent publications reveals a consistent focus on coalition structures within cooperative game theory, particularly examining the Shapley value and its variants in partitioned settings. His work bridges theoretical mathematical developments with practical applications in political decision systems, particularly European voting mechanisms. The research shows increasing sophistication in handling complex coalition formations and stability criteria, with recent work focusing on axiomatic characterizations and probabilistic approaches to value allocation. MEDALLA DE L'ETSEIT AL MERIT DOCENT CONCURS DE MATERIAL DOCENT ETSEIT 93 Carreras Escobar has maintained an exceptionally productive research career with 404 documented academic activities. His work demonstrates strong collaborative patterns, particularly with Antonio Magaña (68 collaborations), Josep Freixas (61 collaborations), and Mª Albina Puente (60 collaborations). His research has evolved from early work on parliamentary voting systems in the 1980s to sophisticated analyses of coalition structures and stability in contemporary game theory. The Department of Applied Mathematics II at UPC has served as his primary academic base throughout his career, where he has contributed significantly to both theoretical developments and practical applications of game theory.

Yolanda Fatima Rebollo Sanzمشاهده پروفایل

استاد

• Applied Economics
• Labor Economics
• Unemployment Insurance
• +۶ مورد دیگر

Yolanda Fatima Rebollo Sanz is a Professor at the Universidad Pablo de Olavide's Department of Economics. Her research focuses on labor economics, unemployment insurance systems, job turnover dynamics, and wage mobility patterns, with particular emphasis on Spain's dual labor market. She also explores drunk driving's economic externalities and gender disparities in cognitive competencies. Her articles analyze critical topics including: Labor market transitions and unemployment benefit impacts Wage subsidy effectiveness in regional contexts Risk assessment for drunk driving policy Gender wage gaps and cognitive skill differentials Temporary contract stepping stone effects Rebollo Sanz has published extensively in journals like Labour Economics, Accident Analysis & Prevention, and The Manchester School. Her methodological approaches include multinomial endogenous switching models, hazard rate analysis, and censored data econometrics. Current projects continue examining employment stability factors and policy interventions in labor markets.

Mª Albina Puente Del Campoمشاهده پروفایل

مدرس ارشد

• Game Theory
• Cooperative Games
• Simple Games
• +۳ مورد دیگر

Mª Albina Puente Del Campo is a Senior Lecturer at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Applied Mathematics III. She is a core member of the ALBCOM research group (Algorithms, Bioinformatics, Complexity, and Formal Methods) and the GRTJ sub-group (Game Theory Research Group). Her expertise spans Game Theory, particularly in cooperative games, simple games, and bicooperative systems. She holds a Licenciatura in Mathematical Sciences and a Doctorate in Mathematics. Her research focuses on probabilistic values, axiomatic characterizations, and solution concepts in cooperative game theory. Recent work includes studies on bisemivalues, potential functions, and applications to political and social networks. She has contributed to over 130 publications, including articles in Discrete Applied Mathematics , Annals of Operations Research , and Optimization . Dr. Puente collaborates on projects funded by national and regional grants, exploring topics like voting systems, coalition structures, and algorithmic game theory. Her work bridges theoretical foundations with practical applications in policy analysis and network cooperation.

• Bayesian Statistics
• Queueing Theory
• Stochastic Processes
• +۷ مورد دیگر

Maria Carmen Armero Cervera is a Full Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, University of Valencia. She is a leading researcher in the Valencia Bayesian Research Group (VABAR), with a sustained record of contributions to Bayesian statistics, queueing theory, and stochastic modeling. Her research interests lie at the intersection of Bayesian inference and applied probability, focusing on Bayesian modeling of queueing systems , hierarchical models , survival analysis , and industrial and medical applications . She has developed methodologies for bulk service queues, patient-ventilator asynchronies, and prostate cancer risk modeling, demonstrating the versatility of Bayesian approaches. Her recent work emphasizes flexible Cox models, joint modeling, and computational methods such as Sequential Monte Carlo. The trends in her publications show a consistent focus on Bayesian methodology applied to real-world stochastic systems , evolving from theoretical queueing models to complex biomedical and industrial applications. Her work frequently appears in top-tier journals like Journal of Statistical Planning and Inference , Queueing Systems , and SORT . She has not been explicitly mentioned as receiving scientific awards in the provided texts. Maria Carmen Armero has advised or collaborated with numerous researchers, including Danilo Alvares, Anabel Forte, and David Conesa. While specific student names are not listed, her editorial contribution and extensive co-authorship indicate a strong role in mentoring and collaborative research. There is no mention of specific grants, but her sustained output suggests external funding support. She is a core member of the Valencia Bayesian Research Group (VABAR), which focuses on advancing Bayesian theory and applications in operations research, medicine, and industry.