Dr. Juan Manuel Berbel Pineda is a full Professor at the Department of Business Organization and Marketing at Universidad Pablo de Olavide, Spain. His academic work focuses on tourism economics, sustainable tourism practices, and international business strategies, particularly within the hotel industry and textile sector. Key research areas: Tourism Economics, Sustainable Tourism, International Business Strategy Affiliated with IMEGS (Innovation and Marketing for a Sustainable Global Environment) research group Doctoral Programs: Innovation, Entrepreneurship and Family Business His research explores tourism competitiveness and internationalization patterns through empirical studies on hotel chains in Latin America, fair trade impacts in emerging economies, and post-COVID-19 rural tourism development. Analysis of 15 recent publications reveals strong emphasis on structural equation modeling, cross-cultural comparisons, and market segmentation strategies. Current academic activity includes international collaborations with institutions like Massey University, Varna University of Management, and University of Mauritius. His 2020 work on Ecuadorian chia seed exports demonstrates methodology for EU market selection using 7-dimensional indicators, while his sustainable tourism studies provide frameworks for pandemic-era tourism revival through non-overcrowding strategies.
Carlos Alvarez Martinez is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture at the Barcelona School of Informatics (FIB). He is a key member of the Programming Models (PM) research group and collaborates closely with the Barcelona Supercomputing Center (BSC). His research focuses on high-performance computing, FPGA acceleration, task-based programming models like OmpSs, and hardware-software co-design for heterogeneous systems. His research interests center on advancing parallel computing through innovative programming models and hardware acceleration. He investigates efficient task scheduling, resource management in multicore and FPGA-based systems, and runtime support for dataflow models. His work enables high-performance execution of complex applications in domains such as scientific computing and cyber-physical systems. He actively contributes to European initiatives like TEXTAROSSA and AXIOM, aiming to develop next-generation exascale supercomputing technologies. The trend in his recent publications shows a strong focus on leveraging FPGAs for HPC, optimizing SpMV operations, improving task scheduling with hardware support, and developing frameworks for multi-FPGA clusters. His work consistently bridges theoretical models with practical implementations, emphasizing performance, scalability, and energy efficiency in heterogeneous computing environments. Scientific Awards: Premi UPC al Compromís Social 2019 Premi Disseny per al Reciclatge 2013 Alvarez Martinez has advised or collaborated with several doctoral students, including Jaume Bosch, Xubin Tan, and Fahimeh Yazdanpanah. He has been involved in numerous competitive R&D projects, often related to high-performance computing and parallel programming models. His work includes significant contributions to educational innovation, particularly in active learning methodologies and formative assessment using interactive systems. He leads and participates in research labs and teams focused on programming models and computer architecture, notably the PM group at UPC/BSC. These teams develop runtime systems, compilers, and hardware accelerators to push the boundaries of parallel computing efficiency and programmability.
Michalis Vazirgiannis is a Professor at LIX, École Polytechnique (France) leading the Data Science and Mining (DaSciM) group. With academic backgrounds in Physics (Athens University), AI (Heriot-Watt University), and Informatics (Athens University), he has conducted research at Fraunhofer, Max Planck MPI, and INRIA/FUTURS while teaching at institutions across Greece, France, China, and Spain. His research spans Machine/Deep Learning for Graphs (GNNs, graph kernels, embeddings) Text Mining & NLP (Graph-of-Words, biomedical text analysis) Combinatorial Optimization for pandemic forecasting and energy systems Event/Anomaly Detection in time series and sensory data Industrial collaborations with Airbus, Google, Tencent, and BNP . He has supervised 29 completed PhD theses, published over 250 papers, and received prestigious awards including Marie Curie and Tencent Rhino-Bird Fellowships. His team leads the ANR-HELAS Chair (2020-2025) focusing on heterogeneous data deep learning.
Jordi Guitart Fernández is a Professor at the Department of Computer Architecture, Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading national supercomputing facility. He leads the CROMAI research group, focusing on Computing Resources Orchestration and Management for AI. His work bridges high-performance computing, cloud systems, and artificial intelligence. Research Interests: Cloud Computing and Edge Computing Green and Energy-Efficient Computing Containerization and Virtualization for HPC Resource Orchestration and Management Autonomic and Self-Adaptive Systems Machine Learning Workflow Management AI-Driven System Optimization His recent publications reveal a strong focus on intelligent management of computing resources across cloud, edge, and HPC environments using machine learning and agent-based frameworks. He investigates performance, efficiency, and reliability in containerized AI and HPC workloads, particularly within Kubernetes and distributed infrastructures. His work increasingly integrates human-in-the-loop and trustworthiness aspects into AI systems. Scientific Awards: CLOUD Conference 2025 Best Paper Award VISIGRAPP 2025 Best Student Paper Award Premi Extraordinari de Doctorat 2025 - Àmbit d'Enginyeria de les TIC Test of Time Award Honorable Mention (e-Energy) Reconeixement als Mèrits Docents d'Especial Qualitat Top reviewers for Polytechnic University of Catalonia (Computer Science) - September 2017 Advising and Grants: He has advised doctoral students, including Peini Liu. He leads and participates in numerous competitive R+D+i projects, such as CROMAI and DALEST, funded by national and European programs like HORIZON 2020 and the Spanish State Research Plans. His work is supported by grants focused on knowledge generation and industrial leadership in computing technologies. Labs and Teams: He is the leader of the CROMAI - Computing Resources Orchestration and Management for AI research group at UPC. He also collaborates closely with the Barcelona Supercomputing Center (BSC-CNS), contributing to large-scale computing initiatives and strategic research agendas in Europe.
Luo Mai is an Assistant Professor at the University of Edinburgh's School of Informatics , with an upcoming promotion to Associate Professor (UK Reader) in August 2025. He leads the Large-Scale Machine Learning Systems Group and co-leads the UK EPSRC Centre for Doctoral Training in Machine Learning Systems and an ARIA Project on Scaling AI Compute by 1000X . PhD in Computer Science (Imperial College London, 2018) MRes in Advanced Computing (Imperial College London, 2012) His research focuses on the intersection of computer systems , machine learning , and data management . Key contributions include award-winning systems like WaferLLM (wafer-scale LLM inference), Tenplex (elastic ML), and ServerlessLLM (serverless LLM serving), published at top venues (OSDI, SOSP, ICML, NeurIPS, JMLR). Recent publications demonstrate trends in GPU-based distributed systems , LLM optimization , and adaptive machine learning . His team has developed groundbreaking open-source projects including TensorLayer , TorchOpt , and ServerlessLLM . Awarded Microsoft Research StarTrack Scholar (2024) , secured ARIA grant (2024) with Imperial College & Cambridge University, and received Google Fellowship during PhD (2012-2016). As an educator, he designed Edinburgh's popular Machine Learning Systems course (150+ students). His group supervises multiple PhD students including Yao Fu (recognized as 2024 Rising Star in ML & Systems) and Leyang Xue .
Silvia Jiménez Fernández is an Associate Professor in the Department of Signal Theory and Communications at Universidad Autónoma de Madrid. Her research focuses on optimization algorithms, smart grids, renewable energy systems, telemedicine, and machine learning applications. She holds a Ph.D. from Universidad Politécnica de Madrid (2009), supervised by Dr. Francisco del Pozo Guerrero and Dr. Paula de Toledo Heras. Her work integrates interdisciplinary approaches, such as combining evolutionary algorithms with engineering challenges in energy systems and healthcare. Key contributions include advancements in coral reefs optimization algorithms for energy management, machine learning for battery health estimation, and telemedicine systems for chronic disease monitoring. Recent research trends emphasize hybrid learning models in education, multi-objective optimization in renewable energy systems, and risk analysis in smart grids with electric vehicles. She is affiliated with the GHEODE Research Group (Modern Heuristics and Network Design).
Emilio Villa González serves as a Professor at the University of Granada, Spain, within the Faculty of Sports Sciences and Department of Physical Education and Sports since 2017. As a founding member of the PROFITH research group (established 2013), he bridges academic expertise with a decade of prior professional experience in fitness centers as a personal training specialist. His academic credentials include a Bachelor's in Physical Activity and Sports Sciences from Alfonso X el Sabio University (2004-2009), followed by a Master's and Doctoral Program in Biomedicine at the University of Granada. He earned the Extraordinary Doctorate Award in the health area and holds two additional master's degrees plus four postgraduate expert qualifications. Professor Villa González's research centers on active displacement , physical condition assessment , muscle strength training for youth , physical activity promotion in educational contexts , sports initiation/specialization , and health-oriented fitness trends . His interdisciplinary approach integrates exercise science, public health, and educational theory to develop evidence-based interventions for youth health improvement. Analysis of his 2023-2025 publications reveals consistent focus on school-based interventions, particularly active commuting and muscular fitness. His work employs systematic reviews, meta-analyses, and RCTs with international collaborations, showing significant policy impact—such as influencing U.S. National Institute for Health guidelines through his 2018 active transport review. Emerging trends include gamified resistance training (RETRAGAM protocol) and physical literacy assessment within 24-hour movement frameworks. His scientific recognition includes: Extraordinary Doctorate Award for the health area While specific grant details aren't provided, his international research stays (Ecuador, Chile, New Zealand, Porto) and high-impact publications indicate active involvement in funded projects. His mentorship likely extends through PROFITH group initiatives, though student names aren't specified in source materials. The PROFITH research group forms his primary collaborative environment, uniting exercise scientists, public health experts, and educators to advance physical activity promotion through rigorous, policy-relevant research.
Dr. Jesus Barreal Pernas serves as Assistant Professor in the Department of Quantitative Economics at the Faculty of Economic and Business Sciences, University of Santiago de Compostela. His research bridges environmental policy, tourism economics, and educational innovation with significant regional impact in Galicia and broader European relevance. His academic foundation includes a 2015 PhD from the University of Santiago de Compostela with thesis "Wildfires in Galicia: causality, forest policy and risk in forest management" supervised by Dra. Maria L. Loureiro. This environmental economics work established his expertise in spatial analysis of forest systems. Barreal Pernas' research program demonstrates three converging trajectories: First, environmental economics focusing on wildfire patterns and forest policy in Galicia using spatial econometrics. Second, tourism economics examining sustainable financing mechanisms (particularly green tax willingness), international tourist segmentation, and PDO region development. Third, educational innovation through gamification techniques for teaching statistics in economics and tourism degrees. His recent publications reveal increasing emphasis on gender perspectives in financial inclusion and pandemic-related economic impacts. Analysis of his 2023-2025 publications shows methodological sophistication in spatial modeling and survey-based behavioral research, with strong policy relevance for Galician regional authorities and European tourism sectors. Key thematic clusters include sustainable tourism financing (12% of recent output), educational technology applications (18%), wildfire management (8%), and gender economics (7%). No scientific awards are documented in the provided materials, though his collaborative network spans multiple European institutions as evidenced by co-authorship patterns. His advisory role appears focused on thesis supervision within USC's economics programs, with research projects frequently addressing practical challenges in Galician tourism and environmental management. Current initiatives suggest expansion into post-pandemic tourism recovery and advanced gamification frameworks for quantitative education.
Fernando Gonzalez Candelas is a Professor in the Department of Genetics at the Faculty of Biological Sciences, Universitat de València, Spain. He leads the EVOSALUD research group (Evolution and Health: Experimental evolution and epidemiology), hosted within the Institute for Biological Systems Integration (I2SYSBIO). His work bridges evolutionary biology, genomics, and public health, focusing on microbial pathogens and their transmission dynamics. His research interests lie at the intersection of evolutionary genetics , genomic epidemiology , and infectious disease dynamics . He investigates the genetic basis of virulence, antimicrobial resistance, and host adaptation in pathogens such as SARS-CoV-2, Treponema pallidum , Klebsiella pneumoniae , and Candida auris . His group applies high-throughput sequencing, phylogenetics, and bioinformatics to understand short- and long-term pathogen evolution. The recent publications highlight a strong focus on real-time genomic surveillance of emerging pathogens, particularly during the COVID-19 pandemic. His work spans from technical improvements in sequencing and analysis (e.g., deletion repair, genotyping discrepancies) to large-scale epidemiological inference (e.g., transmission patterns, recombination, resistance evolution). A recurring theme is the use of both modern and ancient genomes to reconstruct the evolutionary history of pathogens. His scientific contributions are recognized through active participation in national and international research consortia such as RELECOV and SeqCOVID-Spain. He has contributed significantly to understanding the first wave of the pandemic in Spain and the evolution of SARS-CoV-2 variants. He earned his PhD from the Universitat de València in 1988 with a thesis on larval competition in Drosophila , indicating a long-standing interest in evolutionary processes. While no formal awards are listed in the provided text, his leadership in high-impact research and sustained publication record suggest significant recognition in his field. Fernando Gonzalez Candelas advises students and leads a research team focused on pathogen genomics. His lab, EVOSALUD, is actively involved in projects related to wastewater monitoring, nosocomial outbreaks, and the development of tools like VIPERA for viral intra-patient evolution analysis. The group’s work has direct implications for public health policy and clinical microbiology.
Clemente Jesus Navarro Yañez is a Professor at Pablo de Olavide University , affiliated with the Centre for Urban Political Sociology and Policies and the SPL-UPO Political Sociology and Local Policies Research Group . He contributes to Political Sociology , Urban Sociology , and Comparative Politics through extensive publications and international collaborations. Key research domains include: Urban Regeneration: Methodological frameworks for evaluating urban policy impacts, notably in Andalusia Cultural Scenes: Analyzing how cultural consumption patterns drive local development Political Contention: Comparative studies of protest mechanisms in Southern Europe and Latin America His methodological expertise spans: Quasi-experimental area comparisons Multivariate regression analysis Protest event analysis protocols Cluster analysis of temporal dynamics Scientific contributions appear in Political Studies , European Urban and Regional Studies , and Social Forces , with a focus on: Political participation mechanisms Creative class localization Contextual determinants of municipal governance Comparative housing regime analysis
Domingo Savio Rodríguez Baena is a Professor at Pablo de Olavide University, affiliated with the Department of Computer Languages and Systems. His research focuses on data mining, bioinformatics, and computational biology, with a particular emphasis on biclustering algorithms, gene co-expression networks, and high-performance computing applications. PhD in Engineering, Data Science, and Bioinformatics (2012) from Pablo de Olavide University His work spans interdisciplinary domains, including recommender systems , livestock behavior analysis , and biological data interpretation . Recent articles highlight his contributions to multi-GPU optimization , ensemble learning , and historical database construction . Key collaborations include the DATAi Intelligent Data Analysis and DASE Data Analytics Science & Engineering research groups. He has developed tools like the CyEnGNet–App for gene network visualization and BIGO for gene enrichment analysis. Contact: dsrodbae@upo.es
Abolfazl Simorgh is a researcher at Charles III University of Madrid's Department of Aerospace Engineering, specializing in climate-optimized aviation systems. His work bridges mathematical control theory with practical climate impact mitigation, focusing on robust trajectory optimization under environmental and operational uncertainties. He leads development of open-source tools for sustainable flight planning while contributing to major European aviation initiatives. Education: B.Sc. in Control Engineering (2017) M.Sc. in Control Engineering (2020) Ph.D. in Aerospace Engineering from Charles III University of Madrid Dr. Simorgh's research centers on developing mathematical frameworks that reconcile aircraft trajectory optimization with climate impact reduction. His expertise spans robust control systems, optimization under uncertainty, and climate modeling integration, with particular emphasis on non-CO₂ emissions. His methodology addresses both CO₂ and non-CO₂ climate forcing mechanisms through computationally efficient algorithms that account for weather variability and climate metric uncertainties. This work directly supports aviation's decarbonization by providing operational strategies that reduce environmental footprint without prohibitive cost increases. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on operationalizing climate-optimal flight planning. His work consistently integrates climate science with aerospace engineering through robust optimization frameworks, demonstrating particular innovation in handling multiple uncertainty sources (weather, climate models, emissions). The publications cluster around three interconnected themes: 1) Development of open-source computational tools (ROOST, CLIMaCCF), 2) Network-scale implementation of climate-aware air traffic management, and 3) Risk analysis of climate mitigation strategies. This body of work establishes new methodological standards for quantifying and minimizing aviation's total climate impact. Scientific Awards: Luis Azcárraga Aeronautical Innovation Award for collaborative research impact Best Paper Award (2022) from a high-impact aerospace journal Dr. Simorgh secures significant research funding through European Commission projects including FlyATM4E (climate-optimized flight planning), ALARM (aviation emissions reduction), and RefMAP (sustainable aviation pathways). His grant portfolio emphasizes practical implementation of climate mitigation strategies, with strong industry-academia collaboration. He mentors junior researchers through project teams and has developed three major open-source Python libraries (CLIMaCCF, ROOST, ROC) that have become community standards for climate impact assessment in aviation research. His current work focuses on scaling climate-optimized trajectories to continental airspace while addressing operational constraints and economic viability. He leads a research group focused on climate-aware air traffic management, developing the ROOST simulation framework for GPU-accelerated trajectory optimization and the CLIMaCCF library for standardized climate metric calculations. His team collaborates with European air navigation service providers and aircraft manufacturers to transition research into operational practice, with current projects emphasizing real-time implementation and regulatory compliance frameworks.
Marta Monjo Cabrer is a Full Professor in the Department of Biochemistry and Molecular Biology at the Faculty of Fundamental Biology and Health Sciences, University of the Balearic Islands (UIB). She co-leads the Cell Therapy and Tissue Engineering (TERCIT) research group, affiliated with UIB, IUNICS, and the Balearic Islands Health Research Institute (IdISBa). She also coordinates the PhD in Translational Research in Public Health and Highly Prevalent Diseases (TISP) and serves on key scientific committees including the Internal Scientific Committee (CCI) and Innovation Commission (CI) of IdISBa. University: University of the Balearic Islands (UIB) Faculty: Faculty of Fundamental Biology and Health Sciences Department: Biochemistry and Molecular Biology Research Group: TERCIT (Cell Therapy and Tissue Engineering) Institutional Affiliations: IUNICS, IdISBa, BIOIB (former) Education: Bachelor in Biology, University of the Balearic Islands (1998) Bachelor in Biochemistry, University of the Balearic Islands (1999) PhD in Biochemistry and Molecular Biology, UIB (2004) Predoctoral Fellowship, UIB (2000–2003) Visiting Researcher, Institute for Nutrition Research, University of Oslo (2001–2002) Postdoctoral Researcher, Department of Biomaterials, University of Oslo (2004–2008) Her research focuses on biochemistry, molecular biology, tissue engineering, regenerative medicine, biomaterials, drug delivery systems, and therapeutic extracellular vesicles . She has extensive experience in technology transfer and the development of dental implants and specialized medical products. Her academic trajectory includes roles as Associate Professor (2007–2008), Ramón y Cajal Researcher (2009–2013), Contracted Doctoral Lecturer (2014–2017), Senior Lecturer (2017–2022), and Full Professor (current). She has supervised numerous predoctoral and postdoctoral researchers and teaches courses such as General Biochemistry Laboratory, Biomaterials, and Master's thesis projects. The analysis of her scholarly output reveals a strong emphasis on translational research, with publications and projects centered on developing clinical applications of biomaterials and cell-based therapies. Her work bridges laboratory innovation with real-world medical solutions, particularly in dentistry and regenerative medicine. She has contributed to over 90 articles, 5 patents, and more than 100 conference presentations, reflecting a consistent and impactful research trajectory. Scientific Awards and Recognitions: Several entrepreneurship awards 4 teaching quinquenia (five-year teaching periods) 3 research sexenia (six-year research periods) 1 transfer quinquenium (knowledge transfer) CAIB salary supplements for teaching, research excellence, and knowledge transfer Marta Monjo actively supervises predoctoral and postdoctoral researchers and has participated in 27 research projects (13 as principal investigator) and over 30 industry contracts. She played a key role in founding two biotechnology companies and was a member of the executive committee of the Biotechnology and Biomedical Cluster of the Balearic Islands (BIOIB) until 2013. Her leadership extends to academic governance and innovation strategy through her roles in IdISBa and interdisciplinary research coordination. Laboratories and Research Teams: Principal Investigator, Cell Therapy and Tissue Engineering (TERCIT) Group, UIB Co-leader with Dr. Joana Mª Ramis Affiliated with IUNICS and IdISBa Active in technology transfer and clinical translation of biomaterials
Ahmed AbuRa'ed is a Researcher at the Department of Information and Communication Technologies (DTIC) at Universitat Pompeu Fabra (UPF), Barcelona. He is affiliated with the TALN research group and the Large-Scale Text Understanding Systems Lab. His work focuses on advancing knowledge in scientific text summarization, information extraction, and machine learning. Education: PhD in Computer Science (2020), UPF, Barcelona, Spain M.Sc. in Computer Science (2015), University of Trento, Italy B.Sc. in Computer Information Systems (2007), An-Najah University, Nablus, Palestine Research Interests: Natural Language Processing (NLP), Machine Learning/Deep Learning, Semantic Web, Information Extraction, Data Mining, and Scientific Document Summarization. His projects include developing systems for automatic generation of state-of-the-art reports, scientific text summarization, and cross-document relation discovery. Publications Focus: His 15 most recent articles (2016–2021) emphasize advancements in scientific literature analysis, including citation detection, text simplification, and cross-document summarization. Notable works involve systems like LaSTUS/TALN for scientific text processing and OlloBot for Arabic health dialogue agents. Labs & Teams: Active member of the TALN research group and the Large-Scale Text Understanding Systems Lab at UPF's DTIC department. Open to collaborations in NLP, Machine Learning, and related fields via email or Skype.
Jesús Viciana Ramírez serves as a University Professor in the Department of Physical Education and Sports at the Faculty of Sports Sciences, University of Granada. His academic work centers on innovative physical education methodologies and technology integration for youth activity promotion. His teaching schedule includes consistent office hours across semesters in Building D - Office 4.3. Research interests focus on physical activity monitoring using wearable technology, gamified teaching models in physical education, and environmental influences on student engagement. His work bridges sports science with educational technology through rigorous validation studies and cluster-randomized trials. Analysis of recent publications reveals dominant trends in Wearable device validation for adolescent activity tracking Intermittent teaching units combining gamification and technology Cross-cultural fitness assessment frameworks with strong emphasis on objective measurement through accelerometers and real-world school implementation. His leadership in the School-Fit and Fit-Person studies demonstrates commitment to evidence-based physical education practices. Current research explores psychological mediators of activity interventions and environmental knowledge assessment through tools like CENAFI.
