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.
Manuel Jesus Espinosa Gavira is a researcher at the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cádiz, Spain. He is affiliated with the TIC168 Computational Instrumentation and Industrial Electronics research group under the Information and Communication Technologies PAIDI area. Research Focus: His work centers on power quality analysis, wireless sensor networks, and smart grid technologies. Key contributions include developing instrumentation systems for voltage supply characterization, cloud-induced photovoltaic transient analysis, and synchronized sensor networks for industrial applications. His PhD thesis (2023) explored sensor networks for short-term solar prediction in microgrids and smart cities. Publications Trends: Recent work focuses on higher-order statistics (HOS) for power quality monitoring, photovoltaic plant optimization using weather forecasts, and frequency domain analysis for grid stability. These publications reflect expertise in computational instrumentation, renewable energy integration, and real-time monitoring systems.
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
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.
Miguel de Simón Martín is an Associate Professor in the Department of Electrical Engineering, Systems and Automation at the University of León, Spain, within the School of Industrial, Informatics and Aerospace Engineering. His research focuses on Renewable Energy, Electrical Power Systems, and Electrical Energy Management, with particular emphasis on solar energy, photovoltaic systems, and energy communities. His educational background includes: Doctorate from the University of Burgos (2015) with thesis on "Characterisation of solar diffuse irradiance on vertical surfaces" Industrial Engineering from the University of León (2009-2011) Mechanical Engineering from the University of Burgos (2006-2009) Professor de Simón Martín's research centers on sustainable energy systems, particularly renewable energy integration, microgrid management, and energy communities. His work spans from fundamental solar resource characterization to practical energy management systems for buildings and communities. He has made significant contributions to the understanding of solar energy potential on building facades, photovoltaic system performance, and the economic feasibility of renewable energy projects. His recent work increasingly focuses on the integration of energy storage, electric vehicles, and hydrogen technologies into sustainable energy systems, addressing both technical and economic aspects of the energy transition. His publication record shows a clear evolution from fundamental solar energy research toward integrated energy systems and energy communities. The most recent publications demonstrate a strong focus on practical applications of renewable energy technologies, with particular attention to economic viability, system resilience, and the integration of multiple energy vectors. His work often combines technical analysis with economic assessment, reflecting a holistic approach to sustainable energy systems. His notable scientific achievements include: 2022 Award for the Transfer of Research Results to Society, Consejo Social de la Universidad de León 2021 and 2019 1st Prizes in Open Data Competitions, Junta de Castilla y León 2016 Doctorate Extraordinary Award from the University of Burgos 2015 Award T-CUE Doctorate from the University of Burgos and Knowledge Transfer Office Professor de Simón Martín has supervised numerous theses and final projects in electrical engineering, with a focus on renewable energy applications. His teaching has been recognized with "Very Favorable" ratings in the University of León's Teaching Activity Evaluation Process. His research has been supported by multiple funding sources, including participation in collaborative projects focused on smart grids, energy communities, and renewable energy integration. He has been actively involved in the GISIGE research group (Sistemas Inteligentes de Gestión de la Energía) and has collaborated with international research teams on energy systems analysis. His laboratory work centers around the analysis and simulation of Smart Microgrids, with a flexible test-bed pilot facility for research purposes. He has been involved in the development of tools for high precision PV degradation monitoring and supervision, as well as software applications for optimizing solar tracking systems. His team's work bridges theoretical research with practical implementation, often collaborating with industry partners to ensure real-world applicability of their findings.
Dr. Seyedamir Mansouri is a postdoctoral researcher at the Institute for Research in Technology (IIT) of Comillas Pontifical University, Madrid, Spain. He holds a PhD (2020) and MSc (2015) in Electrical Engineering from Tehran, Iran. Amir's research focuses on smart grids , multi-energy systems , and hydrogen-based technologies for carbon-neutral energy transitions. Education : MSc (2015) and PhD (2020) in Electrical Engineering, Tehran, Iran Collaborations : INESC TEC (Porto, 2019), Northumbria University (2022) His work explores IoT-enabled energy management , resilience enhancement , and stochastic optimization for microgrids and industrial parks. Recent articles address decentralized coordination frameworks, hydrogen station integration, and flexibility markets using ADMM algorithms and Stackelberg game theory. Amir's publications (over 30 since 2020) appear in IEEE Transactions on Industrial Informatics , Applied Energy , and Energy . He contributes to projects like OptiREC (MCIN-funded, 2022-2025) and serves as an editor for Towards Future Smart Power Systems (2025). His technical skills include GAMS , MATLAB , and Python .
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.
