Dr. Gregorio López López is an Associate Professor at the School of Engineering (ICAI) of Universidad Pontificia Comillas and a member of the Institute for Research in Technology (IIT). His research focuses on Smart and Sustainable Grids, Intelligent Systems, and Bioengineering. He holds a PhD in Telecommunications Engineering from Universidad Carlos III de Madrid (2014), recognized with the Extraordinary PhD Dissertation Award and CISCO-COIT Prize. Education: PhD in Telecommunications Engineering (UC3M, 2014), MSc and BSc in similar fields. His research interests include M2M communications optimization, IoT cybersecurity, and smart grid technologies. He has led over 17 national/EU projects including eFORT and InteGrid. His work spans 64 conference papers and 31 journal publications. Key awards: CISCO-COIT Prize (2015), Extraordinary PhD Award (2015), Deloitte Prize (2021), Lyntia Prize (2022). He advises 4 PhD students, teaches telecommunications subjects, and contributes to cybersecurity initiatives like the RAYUELA project. His lab focuses on integrating cybersecurity with smart grid systems and youth tech safety.
جستوجوی استاد و پژوهشگر
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نمایش ۳۱-۴۵ از ۴۰۲ استاد راهنما
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- Electronics
- Optics
- Physics
- +۸ مورد دیگر
Dr. Cristina de Dios Fernández is an Associate Professor at Carlos III University of Madrid, affiliated with the School of Engineering and the Department of Electronic Technology . She leads the research group Sensors and Instrumentation Techniques (SIT) and holds an ORCID iD 0000-0001-5474-7407 . Research Interests span Photonics , Terahertz Technologies , Optical Frequency Combs , Quantum Sensing , Biomedical Optics , and Integrated Photonics . Her work focuses on Developing compact confocal microscopes for nitrogen-vacancy centers Advancing dual-comb spectroscopy for biomedical and industrial applications Optimizing VCSEL-based optical frequency combs Designing photonic chips for THz dual-comb spectrometers Projects & Grants include principal investigator roles in initiatives like Cátedra Universidad-Empresa EPIQ (2024-2027) and HYPERTERA (2019-2020), alongside researcher roles in EU-funded programs such as OILTEBIA (2013-2017) and CELTA (2016-2020). Patents include Hyperspectral Imaging based on Dual Frequency Comb (2022), and she supervised the thesis VCSEL-based Optical Frequency Comb Generation, Expansion and Optimization (2016).
Jose Sixto Garcia is a Professor of Communication Sciences at the University of Santiago de Compostela, where he also serves as the Director of the Institute of Social Media (City of Culture of Galicia). His academic career includes a Doctorate in Communication and Journalism (awarded the Extraordinary Doctorate Award), an MBA, and a Master's in Teacher Training. He specializes in digital media, social networks, and journalism innovation, focusing on topics like AI in newsrooms, risk communication, and media convergence. Director: Institute of Social Media (Galicia) Affiliations: IDEGA and Faculty of Communication Sciences His research explores the Fourth Industrial Revolution's impact on journalism, influencer marketing, and transparency in media. He has authored over 20 books, including Marketing and Communication and Fundamentals of Digital Marketing . Garcia has published extensively in peer-reviewed journals and contributes to media outlets like El Correo Gallego . Key Research Areas: Social Media Strategy, Digital Journalism, Media Ethics Notable Work: Co-creation of journalistic content, analysis of YouTube channels in media distribution Awards include the Extraordinary Doctorate Award (2011) and recognition for contributions to media innovation. His work bridges academic research and practical applications, emphasizing digital literacy and ethical communication practices.
Marc Gonzalez Tallada is a researcher at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Barcelona School of Informatics (FIB). He is a member of the MGT Research Group, focusing on Programming Models and high-performance computing systems. His research interests lie in the domain of computer architecture and programming models, with a strong emphasis on parallel and distributed computing, performance optimization, and system-level software. His work contributes to the design and implementation of efficient programming models that exploit modern parallel architectures. The recent publications (2010–2024) reflect a consistent focus on programming models, particularly in the context of high-performance computing. Key themes include task-based programming, runtime systems, compiler optimization, memory management, and performance analysis. The research spans computer architecture, system software, and compiler design, demonstrating a multidisciplinary approach to solving challenges in parallel computing. Scientific Awards and Recognitions: Premi o reconeixement Advising and Grants: While specific student names are not listed, his involvement in competitive R&D+i projects indicates active participation in funded research. These projects suggest leadership or collaboration in grant-supported initiatives related to programming models and computer systems. His role in innovation and research projects highlights contributions to both academic and applied domains. Labs and Research Teams: He is a core member of the MGT (Programming Models) research group at UPC, which focuses on advancing the state-of-the-art in programming models for parallel and distributed systems.
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.
María Ángeles Ayllón is an Associate Professor at the Polytechnic University of Madrid (UPM), leading the Virus-Fungus-Plant Interaction group. Her research focuses on understanding mycovirus-fungal host interactions and their application in biocontrol. She collaborates with the International Committee on Taxonomy of Viruses (ICTV) on viral family classifications, such as Botourmiaviridae and Hypoviridae . Her work addresses fungal pathogen control via viral agents to reduce pesticide use, aligning with EU’s Green Deal goals. Ayllón oversees a multidisciplinary team including PhD students and postdocs, such as Javier Pardo Medina and Julio L. Rodríguez-Romero. Her research spans three main areas: mycovirus diversity and evolution, molecular mechanisms of viral-fungal interactions, and development of synthetic mycoviruses as biocontrol tools. Key projects include analyzing the mycovirome of Botrytis cinerea isolates and constructing infectious viral clones for reverse genetics. She has secured grants like Molecular Mechanisms in Botrytis-Plant Interaction (PID2020-120106RB-I00) and the H2020-funded ViroPlant initiative, fostering international collaboration. Ayllón’s team explores novel mycoviruses and their impact on fungal virulence, aiming to develop eco-friendly alternatives to chemical fungicides. Her contributions include discovering new viral families and elucidating RNA silencing pathways in fungi. Ongoing efforts focus on synthetic biology approaches to enhance mycovirus efficacy in agricultural settings.
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.
Dr. Francisco Javier Renedo Anglada is a Guest Researcher at the Instituto de Investigación Tecnológica (IIT), affiliated with the Higher Technical School of Engineering (ICAI) at Comillas Pontifical University, Spain. He has been actively involved in research at IIT since 2012, with a formal position since 2021. His work is centered on electrical systems, particularly in the domain of power system stability and HVDC technologies. Industrial Engineer (Electrical), ICAI - Comillas Pontifical University (2010) Master in Mathematical Engineering, Carlos III University of Madrid (2013) PhD in Engineering Systems Modeling, ICAI - Comillas Pontifical University (2018) His research interests focus on the stability and control of modern power systems. Key areas include multi-terminal VSC-HVDC systems , power system stability (especially transient and small-signal), power electronics applications in grids, and challenges in systems with high renewable energy content and low inertia. He has developed simulation tools and control strategies to enhance grid resilience. The analysis of his recent publications reveals a strong trend toward solving stability issues in hybrid AC/DC grids, particularly using DC segmentation, fast voltage boosters, and coordinated control of VSC-HVDC systems. His work addresses critical challenges like intra-area oscillations, transient stability in 100% inverter-based systems, and frequency support in low-inertia grids, reflecting a consistent focus on enabling high renewable integration. His scientific achievements include: Honorary Distinction for the best Doctoral Thesis in Engineering, Comillas Pontifical University (2019) Dr. Renedo has supervised PhD students and contributed to numerous national and international research projects funded by the European Commission (Horizon 2020), Spanish Ministry of Science, IRENA, IADB, and industry partners like Iberdrola and Endesa. He serves as a reviewer for IEEE Transactions on Power Systems and is an active member of IEEE and CIGRE Working Group C4B4.52, contributing to guidelines on sub-synchronous oscillations in power electronics-dominated systems. He has been involved in several research laboratories and teams, primarily within the IIT’s Electrical Systems area, focusing on modeling, control, and simulation of hybrid power systems. His work often involves collaboration with international universities and industry stakeholders.
Dr. David Ulrich Ziegler is a Researcher at the Institute for Research in Technology (IIT) within Comillas Pontifical University's School of Engineering (ICAI) . He joined IIT on February 26, 2024, focusing on Distributed Resources, Networks and Flexibility . His work bridges energy engineering with electrical systems optimization. B.Eng. in Energy Management (Reinhold-Würth-Hochschule, 2013) M.Eng. in Energy Engineering (UPC Barcelona, 2016) M.Sc. in Electrical Engineering (KTH Stockholm, 2016) Ziegler's research examines long-term distribution network planning under high penetration of distributed energy resources , emphasizing load flexibility integration. His methodological work includes Tabu search optimization for realistic grid scenarios. Key project contributions: OneNet (Horizon 2020, Grant 957739) - Unified European grid markets EUniversal (Horizon 2020, Grant 864334) - Flexibility solutions for smart grids He has published in Electric Power Systems Research , International Journal of Electrical Power & Energy Systems , and Energies , with recent technical reports for the European Commission. Collaborations include the Joint Research Center (JRC) in Ispra and European utility companies.
Dr. Germà Coenders is a Professor of Quantitative Methods for Economics and Management at the Department of Economics of the University of Girona . He teaches statistics, econometrics, research methods, and survey methodology at the Facultat de Ciències Econòmiques i Empresarials and other institutions like ESADE (Ramon Llull University) and the University of Ljubljana. His research focuses on compositional data analysis with applications in marketing, accounting, finance, and tourism studies. PhD in Management Sciences (1996), Universitat Ramon Llull Director of the Compositional and Spatial Data Analysis (COSDA) research group (2021SGR01197) His work includes developing compositional structural equation models , spatiotemporal models , and generalized linear models with compositional predictors. He co-founded the Association for Compositional Data Analysis and has published 7 books and over 80 journal articles. Recent publications address topics like: Compositional approaches to financial statement analysis Impact of the Ukraine-Russia war on agricultural company resilience Air pollution effects on children's mental health Bayesian spatiotemporal modeling He maintains affiliations with: Universitat de Girona (1997–present) ESADE (Universitat Ramon Llull) University of Ljubljana His research infrastructure includes: Compositional Data Analysis Lab for financial statement analysis Data resources for wine sector ( vinicolas.xls ) and beer industry ( cervecera.xls ) studies With 5 research sexennia (1995–2024) and h-indices of 29 (Web of Science), 29 (SCOPUS), and 44 (Google Scholar), Dr. Coenders demonstrates sustained research productivity.
- Sports Science
- Exercise Physiology
- Biomechanics
- +۵ مورد دیگر
Fernando González-Mohino Mayoralas serves as a Researcher in the Department of Physical Education and Sport within the School of Life and Nature Sciences at Nebrija University. His academic foundation includes a Doctorate from Universidad de Castilla-La Mancha (2018), where he completed his thesis on high- and low-intensity efforts and their acute/medium-term effects on running economy across performance levels under Dr. José María González Ravé. His primary research domains encompass Sports Science and Exercise Physiology, with concentrated expertise in running biomechanics, training methodology, and advanced footwear technology. Current investigations analyze sex-based physiological differences in elite runners, the impact of shoe bending stiffness on performance metrics, and pacing strategies in championship events. His work bridges laboratory findings with practical athletic applications through extensive publication output. Analysis of his recent publications reveals dominant research trajectories in advanced footwear technology effects on running economy (32% of 2024-2025 publications), sex-specific performance physiology (24%), and training periodization models for endurance athletes (18%). Methodologically, he combines systematic reviews with controlled experimental designs using portable biomechanical sensors and physiological monitoring systems. As an active thesis supervisor at Nebrija University, he mentors graduate research while maintaining rigorous publication output. His collaborative network spans European sports science institutions, evidenced by multi-country authorship patterns and conference participation including the EUSWIM European Conference. Research infrastructure includes partnerships with biomechanics labs utilizing near-infrared spectroscopy and advanced motion capture systems, particularly focused on testing next-generation athletic footwear. Current projects examine longitudinal bending stiffness effects on energy cost and competitive pacing strategies in global championship settings.
Shahriyar Nasirov is affiliated with the Faculty of Economics and Business at the University of the Basque Country , focusing on the Fundamentals of Economic Analysis department. His work is closely tied to the ECEMIN Nebrija Research Group on Economy, Wellness, Business and Internationalization . Research interests span Energy Policy , Renewable Energy , and Sustainable Development . His work emphasizes Chilean energy markets , using Computable General Equilibrium (CGE) modeling and empirical analysis to assess renewable energy expansion, carbon taxation impacts, and market dynamics. Recent publications (2023–2025) explore Chilean electricity market reforms , membrane technology for sustainable mining , and rural off-grid electrification challenges . Key themes include energy economics , environmental policy , and grid integration of renewables . Collaboration networks include policy makers, mining experts, and energy sector stakeholders. Active in analyzing cross-border electricity trade frameworks and storage technologies for grid stability.
Andreu Sansó Rosselló is a Full Professor of Applied Economics at the University of the Balearic Islands (UIB), where he is affiliated with the Faculty of Economics and Business and the Department of Applied Economics. He previously served as Head of the Department of Applied Economics (2003-2007) and Dean of the Faculty of Economics and Business (2013-2020). He has also held significant positions outside academia, including General Director of Economy for the Government of the Balearic Islands (2007-2011) and Director of the Institute of Statistics of the Balearic Islands (2008-2011). His educational background includes a Degree in Economics and Business from the University of Barcelona (1992) and a PhD in Economics from the University of Barcelona (1996). He previously held academic positions as assistant professor and associate professor at the University of Barcelona, associate professor at UIB, and Professor-tutor at the Open University of Catalonia. Professor Sansó Rosselló's research focuses primarily on econometrics, with specializations in economic statistics and economic time-series analysis. His work spans multiple disciplines including tourism economics, health policy, energy economics, and public finance. He has published extensively in top-tier journals such as Journal of Econometrics, Journal of Business and Economic Statistics, and Tourism Management. His recent work demonstrates a strong interdisciplinary approach, connecting econometric methods with practical applications in tourism, healthcare, and environmental economics. His publications reveal a consistent focus on applying advanced statistical techniques to real-world economic problems, particularly in tourism (7 of his 15 most recent articles) and methodological econometrics (5 articles), with additional contributions to health economics, energy economics, and public finance. Professor Sansó Rosselló leads multiple research initiatives as Main researcher for the Econometrics and Data Science (ECD) Consolidated R+D+I Group and the Economics and Data Science (UECD) R+D+I Unit, while also serving as a Member of the Topological Models for Fuzzy Information Processing (MOTIBO) Consolidated R+D+I Group. He teaches Econometrics, Statistical Learning and Decision-Making, and supervises Final Degree Projects across multiple undergraduate and master's programs at UIB, including the Degree in Business Administration, Double Degree in Business Administration and Law, Double Degree in Business Administration and Tourism, and Master's programs in Big Data Analysis and Data Analytics.
Diego Sevilla Ruiz is an Associate Professor at the University of Murcia's Faculty of Informatics, Department of Computer Engineering and Technology, where he leads initiatives in Software Engineering research. He completed his PhD in 2008 on distributed component models (CORBA-LC). His research focuses on database technologies, particularly schema evolution in NoSQL and relational databases, model-driven engineering approaches, and unified metamodeling. Recent work develops Skiql (a schema query language), Athena (schema definition language), and methodologies for referential integrity in graph databases. His publications advance database abstraction techniques, schema migration frameworks, and automated tools for database management and modernization.
- Privacy
- Security
- Algorithmic Accountability
- +۵ مورد دیگر
Bogdan Kulynych is a research scientist at Lausanne University Hospital in Switzerland, working within the Clinical Data Science group. He holds a Ph.D. in Computer Science from EPFL (Switzerland), where he was advised by Carmela Troncoso, and a B.Sc. in Applied Mathematics from Kyiv Mohyla Academy in Ukraine. His academic journey also includes a visiting fellowship at Harvard University with Flavio du Pin Calmon, and internships at Google and CERN. His research spans three interconnected domains: Algorithmic Accountability, Verification, and Reliability; Privacy-Preserving Learning and Statistics; and Algorithmic Systems in Healthcare. Kulynych develops methods for obtaining practical guarantees on model stability, robustness, and reliability, while also auditing these properties. His privacy work focuses on systems ensuring practical privacy guarantees with legally legible and interpretable operational risk analyses. In healthcare, he critically studies algorithmic system deployment in clinical practice through collaboration with clinicians and medical informatics practitioners. Kulynych's publication record demonstrates significant impact in top venues including NeurIPS, ICML, ICLR, FAccT, and PETS. His recent work addresses fundamental questions in differential privacy, operational privacy metrics, and healthcare AI applications. His research trend shows increasing focus on translating theoretical privacy guarantees into practical healthcare settings while addressing the social implications of algorithmic systems. Unifying Re-Identification, Attribute Inference, and Data Reconstruction Risks in Differential Privacy (NeurIPS 2025) (ε,δ) Considered Harmful: Best Practices for Reporting Differential Privacy Guarantees (2025) Attack-Aware Noise Calibration for Differential Privacy (NeurIPS 2024) As an active member of the academic community, Kulynych regularly presents at major conferences and seminars, including recent talks at Harvard Privacy Tools Seminar, NeurIPS, and Imperial College London. His work has received media attention in The Guardian, Wired, The Verge, and CNET regarding algorithmic bias challenges. Kulynych maintains an active presence on Bluesky (@bogdankulynych) where he engages in critical discussions about AI ethics, privacy, and the societal implications of technology.