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Antonia Agulló Agüero is a distinguished Professor at Pompeu Fabra University specializing in Financial and Tax Law. With a scholarly career spanning over four decades from 1980 to 2025, she has established herself as a leading authority in Spanish tax law with growing expertise in EU tax frameworks and public finance systems. Her academic contributions include 26 journal articles, 27 collaborative works, 15 books, and direction of 20 doctoral theses. Her research interests focus on Tax Law , Financial Law , and Public Finance , with particular expertise in EU Taxation, Local Government Finance, Constitutional Tax Law, and International Taxation. Her scholarly work demonstrates a clear evolution from foundational tax principles to complex contemporary issues including healthcare financing, cross-border taxation, and fiscal policy responses to economic crises. Analysis of her most recent publications (2016-2020) reveals increasing attention to healthcare financing mechanisms, EU tax harmonization challenges, and the constitutional dimensions of public spending. Her work bridges theoretical legal scholarship with practical policy applications, particularly in regional tax autonomy and fiscal federalism within Spain's autonomous communities framework. As a dedicated academic mentor, she has supervised 20 doctoral students whose research spans diverse tax law topics including international double taxation, public debt concepts, soft law in international taxation, and environmental taxation. Her students have gone on to contribute significantly to academic and professional tax discourse in Spain. Her scholarly infrastructure includes leadership in academic publications, participation in professional tax councils (notably the Barcelona Tax Council), and contributions to major tax law reforms including Spain's General Tax Law and Personal Income Tax legislation. Her work continues to influence tax policy development in Spain and EU member states.

• Tax Law
• Financial Law
• Public Finance
• +5 more

Yolanda Vidal Segui is an Associate Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola d'Enginyeria de Barcelona Est (EEBE). Her research focuses on wind energy systems, predictive maintenance, and structural health monitoring of wind turbines. She leads projects in the CoDAlab and WinTurCoM research groups, specializing in data-driven models, condition monitoring, and failure prognosis. Her work integrates machine learning, mathematical modeling, and sensor technology to enhance turbine reliability and energy efficiency. Dr. Vidal holds a PhD in Applied Mathematics and has authored over 350 publications. Her contributions include advancements in SCADA data analysis, vibration-based diagnostics, and AI-driven condition monitoring systems. She has received several accolades, including the WindEurope Technology Workshop recognition and the IFIT Distinction in Mechanism and Machine Science. Her research bridges academia and industry, addressing challenges in offshore wind turbine integrity and maintenance strategies. Active in professional service, she serves on conference committees and editorial boards (e.g., Mechanical Systems and Signal Processing, Wind Energy). Her work emphasizes sustainable energy solutions and has been applied in real-world scenarios like the Alpha Ventus wind farm. She also contributes to educational initiatives, developing innovative teaching materials for engineering students.

• Wind Turbines
• Autonomous Learning
• Deep Learning
• +8 more

Agustín Zaballos Diego is an Assistant Professor in the Department of Computer Engineering at University Ramon Llull (URL), Barcelona, Spain, since 1999. He serves as Research Coordinator in the Department of Engineering at La Salle Campus Barcelona and leads the R&D Networking and Security Area since 2002. His academic background includes a PhD in Data Networks and Internet Technologies (2012), an International MBA (2014), and an M.S. in Electronic Engineering (2000). University: University Ramon Llull (URL) Department: Department of Computer Engineering Research Group: GRITS Research Focus: Real-time QoS-aware routing protocols in Smart Grids, Ubiquitous Sensor Networks, and IoT communications. His work bridges telecommunications, computer science, and energy systems through projects like OPERA (FP6), INTEGRIS (FP7), and FINESCE (FP7). Publication Trends: Recent articles highlight advancements in HF communications for Antarctic research, hybrid genetic algorithms for traffic engineering, IPv6 testing, and Industry 4.0-related networking solutions. Keywords span Smart Grids, IoT, Sensor Networks, and QoS optimization. Collaborative Projects: Key initiatives include the Antarctica Project , ATHIKA (ICT in healthcare), ENVISERA (environmental sensor networks), HOTSUP (online teaching innovation), PLANET4 (AI/ML in industry), and XIoT (IoT scalability challenges).

• Smart Grids
• Internet of Things (IoT)
• Sensor Networks
• +3 more

Alejandro F. Villaverde is a Ramón y Cajal research fellow in the Department of Systems & Control Engineering at the School of Industrial Engineering, University of Vigo, Spain. He also serves as a Research fellow at CITMAga since 2022. Previously, he worked as a postdoctoral researcher at IIM-CSIC from 2016-2020. His research focuses on the modeling of dynamical systems with particular emphasis on biological applications. Villaverde earned his PhD in Systems and Control Engineering from University of Vigo between 2005 and 2009. His academic career has centered at Spanish institutions with a strong interdisciplinary approach bridging engineering, mathematics, and biology. His primary research interests include systems biology, control theory, and mathematical modeling, with specialized expertise in structural identifiability, observability analysis, and computational tools for dynamic modeling of biological systems. Villaverde's work addresses fundamental challenges in building reliable mathematical models of complex biological processes, with applications spanning immunology to microbial communities. His theoretical contributions have practical implications for improving model reliability and predictive power in biological research. Villaverde has published extensively in top journals including PLOS Computational Biology, Bioinformatics, and IEEE/ACM Transactions on Computational Biology. His recent publications (2023-2025) reveal a consistent research trajectory focused on developing theoretical frameworks for biological model analysis, creating practical software tools, and applying these methods to cutting-edge problems. His work shows particular strength in identifying and addressing fundamental limitations in modeling approaches, especially regarding parameter identifiability and model observability constraints. Among the top 2% Scientists Worldwide 2024 (Stanford University list) Recognition as one of the EEI's top valued instructors at University of Vigo's School of Industrial Engineering Villaverde leads multiple significant research projects including DYNAMO-bio (funded by Ministry of Science, Innovation and Universities), SICOMORO (focusing on symmetries in biological communities), and PREDYCTBIO. His group actively develops open-source software tools such as STRIKE-GOLDD for structural identifiability and observability analysis. The laboratory, part of the BICO research group, includes several researchers and students working on various aspects of dynamic modeling in biology, with recent additions including Mahmoud Shams Falavarjani, Adriana González Vázquez, and multiple interns working on specialized projects.

• Systems Biology
• Control Theory
• Mathematical Modeling
• +5 more

Alan Briones Delgado is a researcher at the La Salle School of Engineering , Universitat Ramon Llull , with a focus on Internet of Things , Cybersecurity , and Transport Protocols . His work spans projects funded by the European Commission and national grants, including EXCEL4HOUSING4.0 , WeB-Nimbus , and NG-SOC , addressing challenges in cloud computing education, ecological monitoring, and security operations. His research integrates Artificial Intelligence and Wireless Sensor Networks for sustainable solutions. Key research areas include Quality of Service in heterogeneous networks, Environmental Conservation via IoT, and Teaching and Learning strategies for Big Data. Projects like EcoSentinel and BTL-COP highlight his commitment to Environmental Monitoring and Community Policing applications. His collaborations extend to institutions in the UK , Albania , and Western Balkans . Contact: alan.briones@salle.url.edu

• Internet of Things
• Transport Protocol
• Cybersecurity
• +8 more

Miguel Ángel Sotelo Vázquez is a full Professor at the University of Alcalá, leading the INVETT Research Group (Intelligent Vehicles and Traffic Technologies). He holds the Department of Automatic Control and specializes in autonomous systems, particularly in path planning, sensor fusion, and human-vehicle interaction. His research integrates machine learning, robotics, and control theory to address challenges in intelligent transportation systems. He earned his Ph.D. in 2001 with a thesis on autonomous vehicle navigation in partially known environments. His work emphasizes real-world deployment, explainable AI, and safety-critical systems. Recent projects focus on lane change prediction, pedestrian behavior modeling, and cybersecurity for autonomous systems. Key contributions include neuro-symbolic frameworks for decision-making, real-time multi-physics field reconstruction, and cross-cultural studies of pedestrian interactions. He collaborates internationally on urban mobility resilience and hydrogen refueling infrastructure. Research Highlights : Development of knowledge graph-based prediction architectures Experimental validation of human-vehicle interaction in VR environments Creation of the SCOUT trajectory prediction framework

• Autonomous Vehicles
• Intelligent Transportation Systems
• Robotics
• +7 more

ARNALTES GOMEZ SANTIAGO is a Full Professor at the Department of Electrical Engineering, Universidad Carlos III de Madrid. His research focuses on Power Systems Control, Renewable Energy Integration, HVDC Systems, and Grid-Forming Converters. He leads projects funded by institutions like Red Eléctrica de España and the Community of Madrid. His work addresses challenges in offshore wind farm integration, energy storage systems, and converter-based grid stability. He has authored over 50 publications, including studies on grid-forming control strategies, low-frequency oscillation damping, and battery degradation modeling. He holds 4 patents related to power system control and renewable energy. Recent projects include contributions to digital power networks, green hydrogen integration, and black-start capabilities for renewable plants. His research emphasizes practical applications, such as HVDC interconnections and smart grid technologies.

• Power Systems Control
• Renewable Energy Integration
• Electrical Engineering
• +5 more

Victoria Veguilla Del Moral is an Associate Professor in Public Law at Universidad Pablo de Olavide, specializing in Political and Administrative Science with a focus on Western Sahara politics. Her research examines the complex interplay between territorial administration, political mobilization, and identity in contested spaces, particularly in Dakhla, Western Sahara. She earned her PhD from the University of Granada in 2011 with a thesis titled Policies of the Octopus in Dakhla: Public Action, Halieutic Resources and Social Dynamics , supervised by Dr. Bernard Botiveau and Dr. Juan Montabes Pereira. Her academic journey reflects deep engagement with both theoretical political science frameworks and extensive fieldwork in North Africa. Veguilla Del Moral's research interests span International Politics of the Middle East, MENA region studies, political ethnography, and electoral processes in occupied territories. Her work particularly focuses on Sahrawi youth movements, Moroccan territorial policies in Western Sahara, and the dynamics of political mobilization in contested spaces. She approaches these topics through a lens that combines political science, anthropology, and postcolonial studies, revealing the complex ways local populations navigate occupation and political control. Her publication record shows consistent scholarly output with significant recent contributions including Regionalization under Occupation: Western Saharan Parliamentary Elites and the Moroccan Regionalization Strategy (2011-16) (2024) and Do Electoral Processes in Western Sahara Produce Representation Beyond the Context of Occupation? (2023). These works demonstrate her ongoing commitment to analyzing the political realities of Western Sahara through empirical research on governance structures, electoral participation, and resistance movements. While no specific scientific awards are mentioned in the available materials, her extensive publication record in reputable academic venues and her contributions to edited volumes like Arab Youths: From Morocco to Yemen: Leisure, Cultures and Politics indicate significant scholarly recognition. Her research methodology combines political ethnography with institutional analysis, often working across linguistic boundaries (publishing in English, French, and Spanish). She has established herself as a leading expert on Western Sahara politics, with particular expertise in the social dynamics of Dakhla and the political mobilization of Sahrawi youth. Her work contributes to broader discussions about governance in contested territories and the relationship between state administration and local populations in postcolonial contexts.

• International Politics of the Middle East
• MENA region studies
• Western Sahara politics
• +6 more

Jorge Garcia Vidal is a Professor in the Department of Computer Architecture at the School of Computer Science, Universitat Politècnica de Catalunya (UPC). He is a key member of the CNDS - Computer Networks and Distributed Systems research group, with a sustained record of research activity from the late 1980s to the present, including publications projected into 2025. His work bridges theoretical network performance analysis and applied IoT systems, particularly in environmental monitoring. His research interests center on Computer Networks , Internet of Things (IoT) , Sensor Networks , and Data Quality in IoT . He has made significant contributions to ATM network performance, medium access control, and traffic modeling. More recently, his focus has shifted to air quality monitoring using low-cost sensor networks, employing techniques in Graph Signal Processing , Machine Learning , and Anomaly Detection to improve data reliability and estimate pollutants like black carbon. The recent article trends show a strong emphasis on developing data-driven frameworks, virtual sensors, and robust models for environmental IoT platforms. His work integrates advanced signal processing and machine learning to address the challenges of heterogeneous, low-cost sensor data in urban settings. His scientific achievements have been recognized with awards including the Premio Extraordinario de Doctorado and the Premio Mejor Tesis Doctoral . He has advised several doctoral students, including Pau Ferrer-Cid, David Fusté Vilella, Steluta Iordache, and Julian David Morillo Pozo. He is actively involved in numerous competitive and non-competitive R&D projects, such as those related to digital twins, IoT platforms for smart cities, and nature-based urban solutions, often funded by state and regional programs. He collaborates extensively within UPC and with external partners. His research is conducted primarily within the CNDS research group at UPC, a collaborative environment focused on computer networks and distributed systems, with connections to broader initiatives in smart cities and environmental monitoring.

• Computer Networks
• Internet of Things (IoT)
• Sensor Networks
• +7 more

Jesus Escudero-Sahuquillo is a Full Professor at the Computing Systems Department (DSI) of the Faculty of Computer Science Engineering at the University of Castilla-La Mancha (UCLM), Spain. His academic journey began at UCLM where he completed his Degree in Computer Science in 2006, followed by a Master of Science in 2008, and a PhD in Advanced Computing Technologies in 2011. His professional experience includes: Full Professor at UCLM (current position) PostDoc at Technical University of Valencia (2015) PhD Senior Engineer at Oracle Norway (2013-2015) 5-year PostDoc position at UCLM funded by UCLM and European Commission (2016) Dr. Escudero-Sahuquillo's research focuses on high-performance computing and Big Data, with particular emphasis on interconnection networks and related optimization strategies. His work spans congestion management, routing algorithms, network topologies, and power saving techniques. He has extensive experience with InfiniBand technology and has contributed significantly to congestion control mechanisms in high-performance interconnects. His publication record demonstrates a strong focus on advancing network performance in high-performance computing environments. Over the past decade, his research has evolved from foundational work on routing algorithms and network topologies to more sophisticated congestion management techniques applicable to modern data centers and exascale computing architectures. His most recent work addresses cutting-edge challenges in packet identification, hybrid congestion control, and adaptive routing for next-generation interconnection networks. Dr. Escudero-Sahuquillo has served as a program committee member and reviewer for numerous prestigious conferences and journals including IEEE Micro, IEEE Transactions on Parallel and Distributed Systems, and Journal of Parallel and Distributed Computing. He was the co-organizer for five editions of the IEEE International Workshop on High-Performance Interconnection Networks in the Exascale and Big-Data Era (HiPINEB). His research has been supported through participation in multiple projects funded by the European Commission and the Spanish Government. He has collaborated extensively with researchers across Europe and has been instrumental in advancing the state of the art in high-performance interconnection networks.

• High-Performance Computing
• Big Data
• Interconnection Networks
• +5 more

Mahmoud Khalifa Abdelhamid Khalifa is a Researcher at the Institute for Research in Technology (IIT) of Comillas Pontifical University, affiliated with the Higher Technical School of Engineering (ICAI). He holds a B.Sc. (2019, first class honors) and M.Sc. (2023) in Electrical Engineering from Minia University, Egypt. His current role involves predoctoral research in electrical systems, focusing on battery energy storage systems and their impact on low-inertia power systems stability. Education: B.Sc. Electrical Engineering, Minia University (2019), ranked first in class M.Sc. Electrical Engineering, Minia University (2023) Research Interests: Mahmoud’s work centers on modeling, control, and stability analysis of energy storage systems, particularly in the context of renewable energy integration. His expertise includes doubly-fed induction generators (DFIG), grid stability, and advanced control algorithms for wind and solar systems. Publications & Contributions: He has authored/co-authored peer-reviewed journal articles, conference papers, and a book on DFIG control systems. His work emphasizes optimizing dynamic performance in renewable energy systems and enhancing grid reliability through advanced control techniques. Affiliations & Skills: Mahmoud is proficient in MATLAB/Simulink, PLC programming (Siemens SIMATIC STEP 7), and tools like Arduino C, Microsoft Office, and SPSS. His research is supported by institutional affiliations with IIT and Minia University. Labs/Teams: Engaged in IIT’s electrical systems research group, contributing to projects on smart grids and energy storage solutions.

• Electric Power Systems
• Renewable Energy Systems
• Control Systems
• +3 more

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).

• Optimization Algorithms
• Smart Grids
• Renewable Energy Systems
• +3 more

Jose Miguel Espi Huerta is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia. He is an active researcher in power electronics and control systems, contributing significantly to grid-connected converters, renewable energy integration, and digital control techniques. His research interests include: Power Electronics and Inverter Control Predictive and Robust Control Strategies Renewable Energy Systems (Photovoltaic and Wind) Induction Heating Technologies Remote and Web-Based Educational Labs The analysis of his recent publications reveals a strong focus on improving the efficiency and reliability of grid-connected power converters using advanced control methods such as predictive current control and MPPT strategies. His work spans both industrial applications and academic education, particularly in developing remote laboratory platforms for control systems. Scientific awards and honors: No awards listed in the provided text. He has supervised academic theses and is affiliated with the LEII (Laboratory of Industrial Electronics and Instrumentation) research group. While no formal grants are listed, his extensive publication record indicates sustained research activity. He has contributed to the development of educational tools such as air levitation systems accessible via PLC and web interfaces, promoting innovative teaching methods in engineering education. The LEII research group focuses on industrial electronics, instrumentation, and power systems, providing a collaborative environment for applied research in energy conversion and control technologies.

• Power Electronics
• Control Systems
• Renewable Energy Conversion
• +7 more

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.

• Dependable and Real-Time Systems
• Fault-Tolerant Distributed Systems
• Adaptive Systems
• +2 more

Dr. Marc Ph. Stoecklin is a Principal Research Staff Member and head of the Security Research Department at IBM Research Europe in Zurich, Switzerland. He co-leads IBM's global research strategy on Quantum Safe Cryptography and Migration, focusing on cryptographic artifact identification and migration implementation. Previously, he directed Threat Management research, applying AI and automation to threat detection, investigation, and response. Education: PhD in Computer, Communication and Information Sciences, École Polytechnique Fédérale de Lausanne (EPFL), Switzerland His research spans quantum safe cryptography, threat management, AI security, threat detection, identity management, cyber deception, big data analytics, and security visualization. He pioneered AI-powered security operations, contributing to Watson for Cyber Security and QRadar Advisor with Watson, and analyzes AI/quantum computing misuse in cyber attacks. His 2016-2020 publications emphasize advanced threat detection, malware analysis, and AI security, featuring evasive malware deactivation, threat intelligence computing, and neural network watermarking. These works bridge research and product development, directly influencing IBM security offerings. Dr. Stoecklin led IBM's Cognitive Cyber Security Intelligence group (2014-2019) and the Security Research Department since 2019. As tech lead for IBM's COVID-19 task force (2020-2022), he developed IBM Digital Health Pass, deployed in New York's Excelsior Pass with over 1 million passes issued in two months. He heads the Security Research Department at IBM Research Europe in Zurich and has been integral to the Global Security Analysis Lab (GSAL) and Cognitive Cyber Security Intelligence (CCSI) group at IBM T.J. Watson Research Center.

• Quantum Safe Cryptography
• Threat Management
• Artificial Intelligence Security
• +5 more