جست‌وجوی استاد و پژوهشگر

• Innovation Management
• Organizational Innovation
• Quality Management
• +۱۲ مورد دیگر

Josep Llach is a Senior Lecturer at the Barcelona School of Management, Universitat Pompeu Fabra, and a part-time Professor Agregat in the Department of Business Administration, Management and Product Design at the University of Girona. He is an active researcher in innovation management, organizational innovation, sustainability, and operations, with extensive involvement in European and national research projects. University: University of Girona Department: Department of Business Administration, Management and Product Design Secondary Affiliation: Barcelona School of Management, Universitat Pompeu Fabra Academic Rank: Senior Lecturer Part-Time: Yes His research focuses on the intersection of innovation, quality, and sustainability in manufacturing and service firms. He studies how lean practices, digital transformation, circular economy strategies, and green technologies impact firm performance. His work often employs advanced statistical methods such as structural equation modelling and fuzzy-set qualitative comparative analysis. The recent publications highlight a strong trend toward sustainability, digital transformation, and methodological robustness in empirical models. His work spans industries including manufacturing, hospitality, and education, with a methodological emphasis on survey-based research and configurational analysis. Scientific Awards: Emerald Literati Awards – Most Outstanding Paper in 2018 for 'Creating value through the balanced scorecard: how does it work?' Top Downloaded Paper 2018–2019: 'Socially responsible companies: Are they the best workplace for millennials?' Josep Llach has directed five doctoral theses and actively mentors PhD students. He collaborates with the Catalan University Quality Assurance Agency (AQU) as a methodological secretary in accreditation processes. His research is supported by multiple national and European grants, particularly through participation in the European Manufacturing Survey. He is a member of the Grup de Recerca Avançada sobre Dinàmica Empresarial i Impacte de les Noves Tecnologies a les Organitzacions (GRADIENT), a research group focused on organizational dynamics and the impact of new technologies.

• Optics
• Visual Sciences
• Medical Optics
• +۳ مورد دیگر

Sergio Barbero is an Associate Researcher at the Visual Optics laboratory of the Instituto de Óptica (CSIC), Spain, under the supervision of Prof. Susana Marcos. He holds a BSc in Physics from the University of Zaragoza (1999) and a PhD in Visual Sciences from the University of Valladolid (2004), which earned him the Doctoral Thesis Extraordinary Award (2005). His research focuses on optical aberrations, intraocular lens design, wavefront measurement techniques, and gradient-index modeling of ocular structures. Barbero has collaborated with international groups at Indiana University (USA), University of Houston (USA), and Australian institutions. His work includes pioneering studies on crystalline lens tomography, corneal ablation algorithms, and novel wavefront sensing methods. He has authored 16 peer-reviewed publications and contributed to a US patent on wavefront reconstruction techniques. His research spans three core areas: (1) intraocular lens design using analytical tools, (2) gradient-index modeling of the human eye, and (3) in vivo measurement of crystalline lens aberrations. He has secured grants from the Spanish government (I3P-CSIC), NIH (USA), and Fulbright fellowships. Barbero has presented 33 scientific talks/posters, including invited lectures, and maintains an h-index of 9. His work bridges fundamental optics with clinical applications in ophthalmology.

Chad Syversonمشاهده پروفایل

استاد

• Industrial Organization
• Productivity
• Firm Structure
• +۳ مورد دیگر

Chad Syverson is the George C. Tiao Distinguished Service Professor of Economics at the University of Chicago Booth School of Business. His research focuses on the interactions between firm structure, market structure, and productivity, with publications appearing in top economics journals. He serves as a research associate at the National Bureau of Economic Research and has contributed to National Academies committees. Dr. Syverson earned bachelor's degrees in economics and mechanical engineering from the University of North Dakota in 1996, followed by a PhD in economics from the University of Maryland in 2001. Prior to joining Chicago Booth in 2008, he worked as a mechanical engineer for Loral Defense Systems and Unisys Corporation, an experience that informed his research interest in productivity measurement and analysis. His research spans industrial organization, productivity analysis, and microeconomics, with particular attention to how firms organize production, how market structure affects productivity, and measurement issues in economic analysis. His work often combines theoretical frameworks with detailed empirical analysis of firm-level data. He has co-authored the widely used intermediate microeconomics textbook with Austan Goolsbee and Steve Levitt. Analysis of his recent publications reveals a strong focus on productivity measurement across sectors including healthcare, construction, and retail. His work increasingly examines the relationship between market power and productivity, with several papers analyzing markups, monopsony power, and competitive dynamics. He frequently employs detailed microdata to investigate how firms respond to market conditions and regulatory changes. National Science Foundation Awards Syverson serves as chair of the Chicago Census Research Data Center Board and has contributed to policy discussions through National Academies committees. His research has been funded by multiple National Science Foundation awards, reflecting the significance of his contributions to understanding productivity dynamics and market structure. He has also collaborated extensively with leading economists including Austan Goolsbee, Steve Levitt, and Martin Gaynor.

• Dependable and Real-Time Systems
• Fault-Tolerant Distributed Systems
• Adaptive Systems
• +۲ مورد دیگر

Dr. Julián Proenza Arenas is an Associate Professor at the University of the Balearic Islands (UIB) within the Mathematics and Informatics Department of the Higher Polytechnic School. As Secretary of the Politechnical School, he contributes to the management of all engineering bachelor degrees and serves as Academic Coordinator for the EU EMJMD Programme on Engineering of Data-Intensive Intelligent Software Systems (EDISS) since 2021. Ph.D. in Informatics (2007), University of the Balearic Islands Licenciatura in Physics (1989), University of the Balearic Islands His research focuses on Dependable and Real-Time Systems , particularly fault tolerance in distributed environments, Clock Synchronization , and Fieldbus Networks . Recent work emphasizes Time-Sensitive Networking (TSN) and adaptive mechanisms for industrial automation. He has co-authored over 100 publications and three patents, with multiple best paper awards at IEEE conferences (2004–2023). IEEE Workshop on Factory Communication Systems Best Paper (2004) IEEE ETFA Best Work-in-Progress Paper (2012, 2014, 2016) IEEE ETFA Factory Automation Best Paper (2023) Dr. Proenza supervises 6 completed and 2 ongoing Ph.D. theses and leads national research projects like FT4TSNgrid (2022–2025) and DFT4FTT (2016–2019). He is Principal Investigator of the Sistemas Empotrados Inteligentes y Robótica (SRV-INTER) R&D group and actively collaborates with international institutions including Mälardalen University and Universidade do Porto.

• Artificial Intelligence
• Robotics
• Data Science
• +۴ مورد دیگر

Cecilio Angulo Bahón is a full Professor at the Polytechnic University of Catalonia (UPC), affiliated with the Barcelona School of Industrial Engineering (ETSEIB) and the Department of Systems, Automatics and Industrial Informatics Engineering . He leads research in Artificial Intelligence and Robotics , with significant contributions to healthcare data analytics, digital twins, and human-robot collaboration. His research spans machine learning for medical data harmonization, generative adversarial networks in health informatics, and evolutionary algorithms for control systems. Recent publications focus on synthetic healthcare data generation, climate-resilient agriculture , and UMAP-based data analysis . His work bridges AI theory with practical applications in industrial and healthcare domains. Scientific awards include the Sant Jordi 2023 Digital Polytechnic Initiative Award . He has supervised doctoral candidates like Carlos Flores-Vázquez and N. Raya, with key collaborations at the IDEAI-UPC Intelligent Data Science and AI Research Group and the Institute of Robotics and Industrial Informatics (CSIC-UPC).

• Data Mining
• Bioinformatics
• Machine Learning
• +۳ مورد دیگر

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

Codina Bonilla, Lluísمشاهده پروفایل

دانشیار

• Web Positioning
• Semantic Web
• Information Systems
• +۷ مورد دیگر

Lluís Codina Bonilla is an Associate Professor at Pompeu Fabra University's Faculty of Communication, specializing in Journalism and Audiovisual Communication. As a founding member of the DigiDoc Research Group (SGR-01103) and Director of the Cybermedia Observatory, he bridges Information Science and Digital Communication through research on SEO, content curation, and digital media systems. PhD in Information Science (Universitat Autónoma de Barcelona) Co-founder of academic journal Hipertext.net Principal Investigator for multiple Spanish national R&D projects Research Interests: His work focuses on Search Engine Optimization (SEO) for news media, Semantic Web applications in journalism, and content curation systems. Recent studies explore AI applications in content creation and academic research. Academic Contributions: With over 200 articles and 6 books (including Design and SEO for Content-Intensive Websites ), his publications analyze digital media quality assessment, information architecture, and media verification. His 21 doctoral theses (all cum laude) highlight his role as a mentor in digital communication. Premio Roblón 2021 for Investigator of the Year Multiple UPF Social Council Awards for Teaching Quality Nominated Scimago Best Scientific Article Recognized Researcher Tranches (CNEAI/AQU) Academic Infrastructure: Leads the Cybermedia Observatory and contributes to UPF's SEO Media Lab, while maintaining affiliations with the Catalan Society of Communication and Institute of Catalan Studies. His teaching spans Journalism, Audiovisual Communication, and Research Master's programs.

Luis Javier Miguel Gonzálezمشاهده پروفایل

استاد

• Energy Systems
• Renewable Energy
• Sustainability
• +۳ مورد دیگر

Luis Javier Miguel González is a Professor in the Department of Systems Engineering and Automation at the University of Valladolid since 1997. He has transitioned from early work on automatic fault diagnosis and predictive maintenance to leading research on energy systems dynamics since 2004. He directs the Energy, Economics, and Systems Dynamics research group and has supervised five doctoral theses. His roles include managing the Department of International Development Cooperation, promoting initiatives like the Interuniversity Master's in International Development Cooperation and the University of Valladolid's Development Cooperation Observatory. Research focuses on energy transition pathways, integrating biophysical and socioeconomic constraints through models like MEDEAS. His work addresses systemic challenges such as the land-energy-food nexus, renewable energy variability, fossil fuel depletion, and decarbonization strategies. He has led projects under EU H2020 and national programs, emphasizing interdisciplinary approaches to sustainability. Publications span energy policy analysis, IAM development, and participatory education tools for sustainability. Notable contributions include the WILIAM System Dynamics model and pymedeas open-source software. His research bridges technical modeling with policy implications, addressing global challenges like SDG acceleration and climate mitigation.

• Earth Physics
• Climate Science
• Remote Sensing
• +۳ مورد دیگر

Francisco J. Tapiador is a Professor at the Universidad de Castilla-La Mancha , affiliated with the Department of Environmental Sciences. His research spans Earth Physics, Climate Science, and Remote Sensing, with a focus on precipitation modeling, climate classification systems, and data fusion techniques. He leads the Earth Physics research group at UCLM and collaborates extensively with international institutions. Key Research Areas : Earth Physics Climate Modeling Satellite Meteorology Data Fusion Algorithms Environmental Uncertainty Quantification Publication Trends : Dr. Tapiador's recent work emphasizes high-resolution precipitation merging via radar corrections, machine learning for storm detection, and uncertainty quantification in climate models. His articles integrate Remote Sensing , Machine Learning , and Climate Informatics to address extreme weather and hydrometeorological hazards. Peer Review Leadership : Atmospheric Research Chaos, Solitons and Fractals Chemosphere Heliyon Journal of Computational Science Meteorology and Atmospheric Physics Water Resources Research Collaborative Networks : Andrés Navarro Eduardo García-Ortega Gyuwon Lee Kyo-Sun Sunny Lim Ziad S. Haddad Technological Impact : His work bridges fluid dynamics , entropy-based algorithms , and neural networks to advance satellite precipitation estimation and climate model validation. Current projects include multi-satellite data correction and climate-human system couplings.

• Physical Education
• Sports Science
• Physical Activity Monitoring
• +۳ مورد دیگر

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.

• Optoelectronics
• Visible Light Communication (VLC)
• Internet of Things (IoT)
• +۳ مورد دیگر

Carlos Iván Del Valle Morales is an Adjunct Professor at Carlos III University of Madrid. His research focuses on visible light communication (VLC), Li-Fi systems, and energy-harvesting technologies. He leads projects in the Grupo Universitario de Tecnologías de Identificación (GUTI), developing optical communication interfaces for IoT, high-power LED characterization, and indoor positioning systems using trilateration and angular diversity. Recent work emphasizes perovskite photovoltaic applications for self-powered IoT nodes and hybrid RF-VLC positioning systems. His publications span 2020–2024, addressing energy efficiency, bandwidth optimization, and hardware design for VLC systems in automotive and multimedia contexts.

• Computer Architecture
• High-Performance Computing
• Distributed Systems
• +۱۲ مورد دیگر

Yolanda Becerra Fontal is a faculty member at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). She is actively involved in research projects and collaborations, notably with the Barcelona Supercomputing Center, and is a member of prominent research groups such as the High Performance Computing Group (CAP) and CROMAI (Computing Resources Orchestration and Management for AI). Research Interests: Her research spans a broad spectrum of computer systems, with a consistent focus on performance, efficiency, and scalability. Key areas include Computer Architecture , High-Performance Computing (HPC) , Distributed and Cloud Systems , Resource and Energy Management in virtualized environments, and Data-Intensive Computing . More recently, her work has centered on innovative time-series database systems and data management for edge and cloud analytics. Publication Trends: Her recent scholarly output (2020-2022) shows a strong emphasis on time-series data management, proposing novel database architectures like NagareDB and strategies for polyglot persistence. Earlier work (2009-2013) was pivotal in MapReduce workload management, energy accounting for virtualized systems, and optical data center networks, demonstrating a long-standing contribution to foundational distributed computing challenges. Scientific Contributions: Her work has been published in top-tier journals and conferences such as Future Generation Computer Systems , IEEE Transactions , and Nucleic Acids Research . She has also contributed to significant competitive R&D projects and holds patents related to data flow management and distributed indexing. Advising and Grants: Dr. Becerra Fontal has served as a thesis advisor for doctoral students. Her research has been funded through competitive grants from national and regional programs, including Spanish State Research Plans (Plan Estatal de Investigación) and Catalonia's RIS3CAT strategy, supporting projects on high-performance computing and data management. Research Groups and Labs: She is a core member of the CAP - High Performance Computing Group and the CROMAI - Computing Resources Orchestration and Management for AI group at UPC. Her work is closely associated with the Barcelona Supercomputing Center (BSC) , one of Europe's leading supercomputing facilities, indicating access to advanced computational infrastructure.

• Power Electronics
• Renewable Energy Systems
• Microgrids
• +۳ مورد دیگر

Maria Elena Martin Cañadas is an Associate Professor at the Department of Electrical Engineering within the Barcelona East School of Engineering (EEBE) at Universitat Politècnica de Catalunya (UPC). She leads research at the SEPIC group (Power Electronics and Control Systems), focusing on renewable energy integration and power systems optimization. Research Interests: Her work spans power electronics, microgrid design, energy policy analysis, and control systems for distributed generation. Key research areas include: Regulatory frameworks for renewable energy adoption Uncertainty modeling in energy systems High-temperature heat pump technologies Economic optimization of microgrids Solar energy integration and policy analysis Publication Trends: Recent articles (2020-2025) demonstrate strong focus on regulatory impacts in energy systems, with methodologies addressing uncertainty through stochastic modeling and probabilistic analysis. Dominant themes include microgrid optimization, solar policy evolution, and decarbonization strategies for industrial applications. Student Advising & Projects: Supervised doctoral candidates include Alonso (microgrid design), Coronas (distributed generation), and El Mariachet (power quality). Actively leads competitive R&D projects such as: Decarbonization of energy-intensive industries Power quality improvement in remote systems Regulatory framework development for Latin American biogas projects Research Group: Core member of SEPIC laboratory specializing in power electronics applications for sustainable energy systems, collaborating with industrial and international partners.

• Healthy Exercise Promotion
• Exercise Prescription in Pathologies
• Exercise Physiology
• +۳ مورد دیگر

Manuel Avelino Giráldez García is an Associate Professor in the Department of Physical and Sports Education at the University of A Coruña, affiliated with the Faculty of Sports Sciences and Physical Education. His academic roles include serving as Secretary of the Department of Physical Education and Sport (since 2025), Director of the AECC-UDC Chair 'Exercise against Cancer' (since 2025), and member of multiple academic committees. His teaching responsibilities include courses such as Physiology of Exercise I, Healthy Exercise and Quality of Life II, and Master's Dissertation supervision. His research focuses on promoting healthy physical activity, exercise prescription for clinical populations, and monitoring physiological responses to training. He leads the 'Performance and Health Group' research team and has contributed to projects like the CAPTURA initiative analyzing real-time neuromusculo-skeletal movement with fatigue considerations (funded by Spain's Ministry of Science). His publications emphasize exercise physiology in aging populations, training methodology optimization, and body composition analysis. He has directed master's theses such as 'Exercise-induced adaptations on endogenous antioxidant systems in human skeletal muscle' (2021). Active in curriculum development, he coordinates the CAPD in Sports Sciences and directs institutional research transfer initiatives.

• Computer Science
• Electronics
• Mechanical Engineering
• +۷ مورد دیگر

Guillermo Carpintero del Barrio is a Full Professor at Carlos III University of Madrid (UC3M), leading the Optoelectronics and Laser Technology Group (GOTL). His research spans Photonics Terahertz communications Integrated microwave photonics Optical frequency combs with applications in satellite systems, biomedical imaging, and 6G telecommunications. Recent publications focus on InP/Si3N4 hybrid lasers, dielectric slot waveguides, and photonic-enabled wireless transmission systems. His work demonstrates strong interdisciplinary expertise across electronics, optics, and telecommunications. Key contributions include: Hybrid photonic integration techniques Terahertz waveguide probe design Coherent photonic THz transmitters Optical frequency comb generators He has received multiple patents for photonic interconnects and optical devices. Current projects include TERA6G (terahertz systems for 6G networks) and MLPLUS-CM (microsatellite platform development).