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.
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.
Javier García González is a Full Professor in the Department of Electrical Engineering at the School of Engineering, Comillas Pontifical University, Madrid. He has been a key researcher at the Technological Research Institute (IIT) since 1996 and served as Deputy Director of IIT from 2016 to 2022. He holds a Ph.D. in Industrial Engineering from Comillas, awarded the best thesis in its category by the Royal Academy of Doctors. He has held visiting positions at MIT and Lawrence Berkeley National Laboratory. Education: Ph.D. in Industrial Engineering, Comillas Pontifical University (2001) Industrial Engineering (Electricity), ETSEIB, UPC Barcelona (1996) His research focuses on decision support systems for the electricity sector , applying optimization techniques to power system modeling, energy market design, and renewable integration. He has led over 80 research projects for utilities and institutions, with expertise in hydro scheduling, energy storage, and market modeling. His recent work emphasizes microgrid optimization , deep reinforcement learning , and pumped storage hydropower . The trends in his publications reveal a strong focus on optimization under uncertainty , market participation of storage and renewables , and advanced modeling of hybrid AC/DC systems . His work bridges engineering and economics, often involving stochastic programming and real-world applications. Scientific Awards: Best doctoral thesis, Royal Academy of Doctors (2001) Outstanding reviewer, Electric Power Systems Research (2017) He has supervised six doctoral theses and currently mentors a Ph.D. student. He has been principal investigator in numerous national and EU-funded projects, including TWENTIES and OptiREC. He has also delivered training courses at MIT and for industry partners like Endesa. He is actively involved in professional service, having organized the IEEE PowerTech 2021 conference and served on thesis committees at UPC, TU Delft, and Universidad Politécnica de Madrid. He is a long-standing reviewer for top journals such as IEEE Transactions on Power Systems , Applied Energy , and Energy Policy .
JESUS GARCIA HERRERO is a Full Professor at the Department of Computer Science , Carlos III University of Madrid , and serves as Director of the Postgraduate School of Engineering and Basic Sciences and the Master's Degree in Applied Artificial Intelligence. His research focuses on Artificial Intelligence , Data Fusion , and Maritime Surveillance , with applications in UAV navigation , sensor integration , and fuzzy systems . Key Research Areas: Machine Learning, Trajectory Analysis, Contextual Data Fusion, Robotics, Maritime Security, and Smart Grids. Notable Projects: ASPID (2024-2027), MARVISION (2024-2025), SIMBAT (2021-2024), and HADA (2023-2024). Contact: jesus.garcia@uc3m.es , jgherrer@inf.uc3m.es
Massana Raurich, Joaquim is a Lecturer in the Department of Electrical, Electronic and Automatic Engineering at the University of Girona, Spain. His academic and research activities are centered on intelligent systems, with applications in smart cities, energy forecasting, and healthcare technologies. He is an active member of the eXiT Research Group (Control Engineering and Intelligent Systems), contributing to cutting-edge interdisciplinary projects such as HIT2GAP and PEPPER. Research Interests: Smart Cities and Urban Energy Modeling Short-Term Load Forecasting in Non-Residential Buildings Artificial Intelligence in Healthcare Insulin Recommender Systems for Type 1 Diabetes Multivariate Statistical Monitoring Data-Driven Control Systems His recent publications reflect a strong trend in applying machine learning and data science to both energy systems and medical decision support, particularly in personalized healthcare. The integration of AI in diabetes management and energy efficiency platforms demonstrates a consistent focus on real-world, impactful applications. Scientific Contributions: Published in high-impact journals such as IEEE Communications Surveys & Tutorials, Energy and Buildings, and Expert Systems with Applications Contributed to European research projects including H2020-funded initiatives Developed public software for mental health and nervous system disorder detection using EEG data Delivered lectures and talks to promote engineering vocations in high schools Active participant in international conferences on AI and smart systems Advising and Grants: While no formal students are listed, he has supervised final degree projects and guided students in internships and laboratory practices. He has participated in multiple competitive research grants, including national (RTC-2017-6701-1) and European projects (H2020-EeB-2015 –680708, Grant Agreement 689810), demonstrating strong grant acquisition and collaborative research capabilities. Laboratories and Research Teams: He is a core member of the eXiT Research Group at the University of Girona, which focuses on Artificial Intelligence and Machine Learning applied to medicine and healthcare. The group develops intelligent systems for personalized decision support, energy monitoring, and adaptive control, operating at the intersection of engineering, computer science, and clinical applications.
Joaquim Massana Raurich is a Senior Lecturer at the Department of Electrical, Electronic and Automatic Engineering , University of Girona. As a member of the Research Group in Control Engineering and Intelligent Systems (EXIT) , his work bridges Smart Cities , Energy Forecasting , and Healthcare Technology through Machine Learning and Automation Systems . Research Interests: Control Engineering, Smart Cities, Energy Forecasting, Healthcare AI Key Contributions: Development of public software for EEG-based disease detection, advanced load forecasting models, and AI-driven diabetes management systems His teaching spans Physics and Electronics , Automatic Regulation , and Control Systems at both undergraduate and master's levels. He has supervised internships and final projects while contributing to European/national projects like HIT2GAP and Pepper .
Héctor Chinchero Villacis is an Assistant Professor in the Department of Electronics at the University of Alcalá. His research focuses on smart lighting systems, IoT integration in buildings, and energy management solutions. He is a member of the GEINTRA research group, which specializes in Electronic Engineering applications for intelligent spaces and transport. Chinchero holds a PhD from the University of Oviedo (2021), where his thesis addressed LED driver development for smart buildings using controllable reactive elements. Education: PhD in Electronics Engineering, Universidad de Oviedo (2021) Research Interests: His work combines power electronics innovation with IoT technologies to enhance energy efficiency in smart infrastructure. Key areas include: Magnetic control of DC-DC converters for LED applications Energy management systems for public lighting and microgrids IoT-based precision agriculture and home energy monitoring Human-centered lighting parameters for wellbeing optimization Recent Contributions: Recent publications highlight advancements in low-cost emergency lighting solutions, magnetic control techniques for power electronics, and distributed energy systems for Amazonian regions in Ecuador. His work bridges theoretical power electronics with practical smart infrastructure implementations. Labs/Teams: Active contributor to the GEINTRA research group, focusing on applied electronic engineering innovations for smart environments.
Mateu Jover Mulet is a Researcher in the Mathematical Sciences and Computer Science school at the University of the Balearic Islands (UIB), specializing in Time-Sensitive Networking (TSN) and fault-tolerant control systems for electrical substations and microgrids. He is currently pursuing a doctoral degree under a FPU-CAIB scholarship after completing a SOIB Research and Innovation Program contract (2022–2023) funded by the EU’s Resilience and Recovery Plan. Education Bachelor’s in Industrial Electronics and Automation Engineering (UIB, 2020) Master’s in Intelligent Systems with IoT and AI specialization (UIB, 2022) His research focuses on enhancing reliability in TSN communication networks through fault tolerance mechanisms, particularly for power grid control systems. His publications address topics like redundancy tradeoffs, TSN migration strategies, and legacy Ethernet integration. Notable achievements include the Factory Automation Best Paper Award at ETFA'22 for collaborative work on distributed control systems. He contributes to the Systems, Robotics, and Vision (SRV) research group and participates in the FT4TSNgrid project (2022–2025). Mateu teaches courses like Industrial Communication Networks, Final Degree Projects in Computer Engineering, and Integrated Manufacturing Systems at UIB. His work bridges theoretical advancements in TSN with practical applications in industrial automation and electrical grid control.
Sauro José Yagüe Yagüe is a Professor at the IQS School of Engineering, Ramon Llull University, Barcelona, Spain, and serves as a Visiting Professor at the Instituto de Investigación Tecnológica (IIT), Comillas Pontifical University, Madrid, Spain, since June 29, 2015. His work bridges academia and advanced research in power electronics and electrical systems. His research interests lie at the intersection of power electronics , microgrid stability , and control systems , with a focus on grid-forming and grid-following converters in modern power systems. He investigates modal analysis, impedance-based methods, and multi-agent control strategies for enhancing the reliability and performance of unbalanced and islanded microgrids. The recent publications highlight a strong trend in microgrid control , particularly in reconnection, resynchronization, and stability under high penetration of power electronic-based generation. His work increasingly emphasizes distributed and cooperative control frameworks, reflecting the evolution toward intelligent and decentralized energy systems. Scientific Awards: IEEE Fellow Dr. Yagüe has contributed to academic supervision, as evidenced by his involvement in a doctoral thesis on microgrid stability. While specific grant details are not mentioned, his active publication record in high-impact journals (e.g., Journal of Modern Power Systems and Clean Energy , International Journal of Electrical Power & Energy Systems ) suggests sustained research funding and institutional support. His collaborative work involves researchers from multiple institutions, indicating strong team integration. He is affiliated with research teams at both IQS and IIT, focusing on advanced control and integration of renewable energy systems. These labs emphasize simulation, modeling, and real-time testing of microgrid technologies, contributing to the broader goal of clean and resilient power infrastructure.
David Vera Candeas is a full-time Professor at the Departmento de Ingeniería Eléctrica of Universidad de Jaén . Holding a PhD since 2013, his research focuses on renewable energy systems, particularly biomass gasification and distributed generation technologies. His work addresses both technical implementation and sustainability aspects in energy systems, with a strong emphasis on industrial applications and waste valorization. His academic contributions include significant publications on: Biomass gasification and power generation systems Microgrid monitoring and control technologies Hybrid renewable energy integration Power electronics for energy efficiency Current research trends show increasing focus on: Decentralized energy systems and P2P control schemes AI-enhanced educational tools in electrical engineering Circular economy applications in the olive industry
Juan C. Vasquez is a Professor and Co-Director of the Center for Research on Microgrids (CROM) at Aalborg University, Denmark. He holds a B.S. in Electronics Engineering from the Autonomous University of Manizales (2004) and a Ph.D. in Automatic Control, Robotics, and Computer Vision from the Technical University of Catalonia (2009). His academic career includes roles as Assistant Professor (2011–2014) and Associate Professor (2014–2019) before becoming a full Professor. He has held visiting positions at Virginia Tech’s CPES and Ritsumeikan University, Japan. His research focuses on microgrid operation, advanced control strategies, energy management systems, IoT integration in smart grids, and maritime microgrids. He has authored over 649 publications and secured significant grants, including the EU-funded projects EU-DREAM (2024–2027) and NEST (2024–2026). He is an IEEE Senior Member and serves as an Associate Editor for journals like IET Power Electronics and IEEE Access. Research Highlights: Microgrid control, distributed energy resources, and digital twins for energy systems. Awards: Young Investigator Award (2019), Clarivate Highly Cited Researcher (since 2017). Grants: Led 49 projects, including EU-DREAM (€ funding) and NEST (national infrastructure roadmap). Prof. Vasquez contributes to UN Sustainable Development Goals, particularly in affordable and clean energy (SDG 7). His work bridges academia and industry through collaborations on resilient energy systems and smart grid innovations.
Jesús Diego Chouza Gestoso is a Professor in the Department of Industrial Engineering at the School of Engineering of Ferrol, University of A Coruña. His academic career spans over two decades with continuous teaching and research activities focused on electrical engineering and renewable energy systems. He is actively involved in multiple degree programs including Electrical Engineering, Industrial Technologies Engineering, and Electronic Engineering. His research interests focus on Renewable Energy Systems , particularly in electrical machines, energy efficiency, and sustainable applications. His work emphasizes practical implementations of renewable energy in residential buildings, marine applications, and electric mobility. He leads research in the 'Materials and renewable energy for engineering, environment and sustainability' group, investigating real-world applications of sustainable energy technologies. Analysis of his publication record reveals a strong focus on practical renewable energy applications , with particular emphasis on electrical machine design, energy management systems, and sustainable infrastructure development. His research consistently addresses Galicia's specific energy challenges, particularly coastal and marine renewable energy potential. Throughout his career, Professor Chouza Gestoso has supervised numerous bachelor's and master's theses focused on sustainable energy applications, including projects on electric vehicles, wind energy potential, and energy-efficient residential buildings. His teaching spans core electrical engineering subjects with specialization in electrical machines and renewable energy systems. His laboratory and research activities center around practical testing and implementation of renewable energy systems, with particular focus on electrical machine applications in marine environments and sustainable building projects. Current work appears to be advancing electric mobility infrastructure and offshore wind energy applications specific to the Galician coastline.
Juan José Mesas García is an Associate Professor in the Department of Electrical Engineering at the School of Engineering of East Barcelona, Universitat Politècnica de Catalunya. He is affiliated with the QSE - Power Supply Quality research group and the GAECEQS - Electromechanical Drives, Energy Conversion and Power Supply Quality research group. His educational background includes an Industrial Engineering degree and a Ph.D. in Electrical Engineering. His research focuses on harmonic distortion and imbalance in power systems, numerical methods, and optimization. He has developed expertise in power quality analysis, stability assessment of electrical grids, and modeling of nonlinear electrical components. Mesas García's recent publications address cutting-edge topics in power system stability, including innovative software for multi-energy grid analysis, damping margin indicators for compensator design, and resonance mode analysis methodologies. His work appears in prestigious journals such as IEEE Transactions on Power Delivery, IEEE Transactions on Power Systems, and Electric Power Systems Research, demonstrating his significant contributions to the field of electrical power engineering. Consolidated Research Group Recognition AGAUR 2009-2013 h-index 9.0 He actively participates in the academic community as a member of scientific committees for major conferences including the IEEE Industrial Electronics Society Annual Conference and the International Conference on Modeling and Simulation of Electric Machines, Converters and Systems. His research aligns with UN Sustainable Development Goals 7 (Affordable and Clean Energy) and 11 (Sustainable Cities and Communities), contributing to the development of more reliable and sustainable energy systems.
Ricardo Mallol Poyato is an Associate Professor at the University of Alcalá, affiliated with the Department of Signal and Communication Theory within the College of Engineering. His research focuses on optimization algorithms applied to energy systems, particularly in microgrid design, renewable energy integration, and evolutionary computation. He leads the GHEODE research group (Modern Heuristics and Network Design Research Group), specializing in heuristic optimization for communication networks and energy systems. He earned his doctorate from the University of Alcalá in 2016 with a thesis titled Optimización del diseño y la operación de redes eléctricas inteligentes mediante computación evolutiva , supervised by Dr. Sancho Salcedo Sanz and Dr. Pablo Díaz Villar. His work bridges theoretical algorithm development with practical applications in energy infrastructure and engineering education. Key research interests include: Optimal design of microgrid topologies Renewable energy resource allocation Evolutionary algorithms for energy systems Thermal management of solar modules Computational methods for control systems His publications emphasize innovative optimization techniques like coral reefs algorithms and harmony search, applied to battery scheduling, distributed generation placement, and scenario-based microgrid operation under variable pricing. He has developed educational software tools for solar energy instruction and contributed to lightweight construction technologies using infrared heating systems.
JESÚS DE LA CASA HERNÁNDEZ is a Full Professor (academic rank: Professor ) in the Department of Electrical Engineering at the University of Jaén, affiliated with its Higher Polytechnic School. He has held academic leadership roles including Secretary of his department and Deputy Director of Monitoring and Coordination at the Higher Polytechnic School. Education : Ph.D. in Industrial Engineering (2003), University of Jaén; M.S. in Industrial Engineering, University of Seville. Research interests focus on optimizing renewable energy systems, energy storage, and smart grid technologies. His work emphasizes metaheuristic algorithms, power electronics, and distributed generation. Key projects include advancing microgrid stability, reducing grid harmonics, and integrating photovoltaics. Recent publications highlight BESS optimization, fault-clearing algorithms for multilevel converters, and voltage regulation in DC converters. His studies span AC/DC microgrids, offshore wind farms, and predictive maintenance in wind farms, reflecting interdisciplinary work in electrical engineering and sustainability. Scientific recognition includes three CNEAI six-year research periods and postdoctoral fellowships in Colombia. He has directed 11 doctoral theses and secured funding for national and international projects, including CYTED and PAIDI grants. Collaborative efforts involve coordinating 17 Erasmus+ mobilities and leading research stays in Italy, Chile, and Cuba. His group, TEP152 'Investigación y Tecnología Eléctrica', contributes to global energy transition initiatives.
