جستجوی استاد راهنمای دانشگاهی

• High-Performance Interconnection Networks
• Computer Architecture
• Network Simulation
• +۷ مورد دیگر

Francisco J. Andújar Muñoz is an Associate Professor at the University of Valladolid in the Department of Computer Science since January 2024. His career spans multiple institutions including Universidad de Castilla-La Mancha (2008-2015) and Universitat Politècnica de València (2017-2018), with academic roles ranging from Research Assistant to Juan de la Cierva Formación Researcher. PhD in Advanced Computer Science Technologies (2011-2015) MsC in Advanced Computer Science Technologies (2010-2011) Computer Science Engineering (2008-2010) Computer Science Technical Engineering (2004-2008) His research focuses on high-performance interconnection networks , with significant contributions to quality-of-service mechanisms, energy-efficient network topologies, and heterogeneous programming optimization. He maintains the open-source VEF Traces framework for network workload modeling. Recent publications (2023-2025) demonstrate expertise in FPGA high-level synthesis portability, SYCL-based GPU optimization, and machine learning applications for Twitch streaming analysis. His work combines theoretical network design with practical implementations in the Journal of Supercomputing and IEEE Transactions on Computers .

Óscar Valero Sierraمشاهده پروفایل

استاد

• Mathematical Modeling
• Artificial Intelligence
• Computer Science
• +۵ مورد دیگر

Óscar Valero Sierra serves as a Full Professor in the Department of Mathematics and Computer Science at the University of the Balearic Islands. His academic career spans teaching across multiple disciplines including Engineering, Business Administration, Economics, and Mathematics programs. His research specializes in Mathematical Models with applications in: Computer Science and Artificial Intelligence Fuzzy Information Processing Topological Structures Economic and Engineering Systems Dr. Valero Sierra's expertise encompasses: Artificial intelligence frameworks Banach spaces and algebras General topology applications Fuzzy optimization techniques He serves as Main Researcher for the Consolidated R+D+I Group Topological Models for Fuzzy Information Processing (MOTIBO) , with research details available at http://www.uib.eu/research/groups/grup/MOTIBO/. His extensive teaching portfolio includes: Mathematics courses for Business Administration, Economics, and related undergraduate degrees across multiple campuses Optimization courses for Economics programs Specialized graduate instruction in Optimization Techniques with Fuzzy Information Statistical Techniques with Fuzzy Data Quantitative Techniques for Decision-making in Data Analytics programs

Juan Carlos Vidal Aguiarمشاهده پروفایل

دانشیار

• Process Mining
• Business Intelligence
• Semantic Annotation
• +۵ مورد دیگر

Juan Carlos Vidal Aguiar serves as an Associate Professor in the Department of Electronics and Computer Science at the University of Santiago de Compostela, Spain. With extensive experience in academic research and teaching, he has established himself as a prominent figure in process mining and business intelligence applications. His work bridges theoretical computer science with practical implementations across healthcare and educational domains. Dr. Vidal Aguiar earned his Bachelor Engineering degree in Computer Science from the University of La Coruña in 2000, followed by several years working as a senior IT consultant. He completed his PhD at the University of Santiago de Compostela in 2010, where he has remained as faculty since. His academic journey reflects a trajectory from foundational computer science toward specialized applications in process analytics. His research interests focus on knowledge discovery, semantic annotation, semantic modeling of workflows and services, and the application of artificial intelligence for business intelligence . Recent work demonstrates significant evolution toward healthcare applications, particularly in cardiac rehabilitation and glucose monitoring, while maintaining strong foundations in process mining techniques. His publications reveal a clear progression from theoretical workflow modeling to practical AI-driven business process solutions with real-world impact. Analysis of his publication trends shows increasing specialization in predictive process monitoring with deep learning approaches, particularly evident in his 2023-2025 work. His research spans both theoretical contributions in kernel methods and biclustering algorithms, and practical implementations like the VERONA Python library for benchmarking. The interdisciplinary nature of his work is particularly notable in healthcare applications where process mining techniques are adapted for medical contexts. Dr. Vidal Aguiar leads multiple significant research initiatives including Predictive monitoring and causality for cardiac rehabilitation, Responsible AI for Process Mining 2.0, GAMification techniques for entrepreneurial teacher development, and Soft computing for gamification analytics in cardiac rehabilitation . These projects demonstrate his ability to secure research funding across diverse domains while maintaining a cohesive research vision centered on process analytics. His research ecosystem includes collaborations with numerous colleagues including Manuel Lama, Pedro Gamallo-Fernandez, and Marcos Matabuena across various projects. The SoftLearn platform represents one of his notable contributions to educational technology, applying soft computing techniques to process mining in e-learning contexts. His work consistently bridges academic research with practical implementations that address real organizational challenges.

Rafael Araque Padillaمشاهده پروفایل

استاد

• Marketing
• Macromarketing
• Food System Marketing
• +۷ مورد دیگر

Rafael Araque Padilla is a Full Professor in the Department of Business Management at the University of Córdoba's Faculty of Economics and Business Administration. He serves as Coordinator of the Doctoral Program in Inclusive and Sustainable Development and leads the Marketing for Society research group. His career spans academic, research, and international development roles, with significant contributions to understanding marketing systems in contexts of social challenge and sustainable development. Professor Araque Padilla's research focuses on three interconnected domains: food system marketing (particularly children's nutrition and food literacy in disadvantaged communities), macromarketing approaches to sustainable development (including refugee integration and inclusive business models), and marketing ethics with corporate social responsibility. His work uniquely bridges theoretical marketing frameworks with practical applications in international development contexts across Spain, Central America, and the Middle East. His recent publication record shows a clear trajectory toward increasingly interdisciplinary work that connects marketing theory with pressing global challenges. The 15 most recent articles demonstrate growing emphasis on sustainable development goals, food system challenges, and the role of marketing in contexts of migration and social inclusion. His research increasingly employs mixed-methods approaches, combining content analysis of media and packaging with quantitative studies of consumer behavior and qualitative fieldwork in development contexts. As a supervisor and educator, Professor Araque Padilla has guided numerous doctoral students through eight years of structured research training activities. His international development projects, funded by Spanish and Andalusian agencies, demonstrate strong grant acquisition capabilities with recent projects totaling over €1 million in funding across multiple countries. His research group, Marketing for Society, functions as an interdisciplinary hub connecting marketing theory with practical social challenges, particularly through ongoing projects in Honduras, Paraguay, and Lebanon that address food security, gender equity, and sustainable development through marketing approaches.