Find Academic Supervisors

Agustín Zaballos DiegoView profile

Assistant Professor

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

Julian FierrezView profile

Professor

• Biometrics
• Signal and Image Processing
• Artificial Intelligence
• +6 more

Julian Fierrez is a Full Professor at the School of Engineering, Universidad Autonoma de Madrid. With an h-index of 74 and over 20,000 citations, his work spans biometrics, signal/image processing, artificial intelligence, and human-computer interaction. Key research areas include: Biometric anti-spoofing and DeepFakes detection Mobile and behavioral biometrics Bias/fairness in AI systems Biometric applications in e-health and education Security in multimodal biometric systems His recent publications show strong focus on deep learning applications for biometric security, with specific subfields including fake detection, keystroke authentication, facial analysis for Parkinson detection, and privacy-preserving AI. He serves as Associate Editor for multiple IEEE and Elsevier journals. Scientific distinctions include: IAPR Young Biometrics Investigator Award (2017) Miguel Catalan Award to Best Researcher under 40 (2017) EURASIP Best PhD Award (2012) EBF European Biometric Industry Award (2006) Prof. Fierrez leads the BiDA Lab and supervises students like Ruben Tolosana and Aythami Morales. Current projects include BBforTAI (Biometrics and Behavior for Unbiased & Trustworthy AI) and PRIMA (Privacy Matters). He also contributes to standardization efforts in biometric evaluation.

Sara Nieves Matheu GarciaView profile

Assistant Professor

• Cybersecurity
• IoT Security
• Information Security
• +3 more

Sara Nieves Matheu García is an Assistant Professor at the Department of Information and Communication Engineering within the Faculty of Informatics at the University of Murcia. Her research focuses on cybersecurity, IoT security, and trust frameworks in smart systems. She holds a Ph.D. from the University of Murcia, completed in 2020, where her thesis addressed methodologies for IoT device security evaluation under the supervision of Dr. José Luis Hernández Ramos and Dr. Antonio Skarmeta Gómez. Her research group, Intelligent Systems and Telematics, explores innovative solutions for IoT security lifecycle management, blockchain-based certification systems, and risk-based evaluation methodologies. Notable contributions include the CERTIFY framework for IoT lifecycle security and the BIECO framework for ICT ecosystems. Her work emphasizes practical applications in smart grids, smart cities, and healthcare systems. Recent publications highlight advancements in federated cyberattack detection, MUD standard integration, and liability management in 5G architectures. While no specific awards or grants are listed, her extensive scholarly output reflects active engagement with cybersecurity challenges in IoT and critical infrastructure. Her academic contributions span theoretical frameworks, testing methodologies, and collaborative tools for enhancing IoT security. The research group collaborates across disciplines to address real-world cybersecurity threats in dynamic network environments.

• Biometrics
• Biometric Systems
• Computer Vision
• +5 more

Raul Sanchez Reillo is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on biometric systems, mobile authentication, and security technologies. Key areas include presentation attack detection, vein recognition, and ECG biometrics. He leads projects involving smartphone-based biometric solutions, 3D printed markers, and standards development for biometric interoperability. Research interests span multiple modalities: fingerprint authentication, dynamic signature verification, gait recognition, and vascular biometrics. He emphasizes usability and accessibility in mobile environments, exploring ergonomics and user interaction challenges. His work integrates machine learning (transformers, RNNs) with hardware solutions like FPGA-based systems. Publications highlight innovations in spoofing detection, medical applications (ECG/vein analysis), and low-cost hardware implementations. He contributes to European standards (BioAPI, Hand Data Interchange Format) and evaluates security practices for R&D compliance with EU data protection regulations. Current initiatives include enhancing biometric systems for critical infrastructure security and improving accessibility for elderly users. Active in interdisciplinary collaborations, he leads the Mobile Pass project evaluating user interaction in biometric systems. His lab (GUTI) develops open testing methodologies for biometric performance under Common Criteria and environmental stressors. Recent work addresses vulnerabilities in mobile fingerprint sensors and the ethical implications of biometric-as-a-service models.

• Electrical Engineering
• Smart Grids
• Electric Power Systems Regulation
• +7 more

Dr. Miguel Ángel Sánchez Fornié is a Collaborating Researcher at the Instituto de Investigación Tecnológica (IIT), affiliated with the School of Engineering at Universidad Pontificia Comillas (ICAI). He has been actively involved with IIT since 1980, contributing to European research projects and teaching Smart Grids in Master's programs since 2002. His work bridges industry leadership and academic research, particularly in the digitalization and modernization of electricity systems. Electromechanical Engineering, ICAI (1974) Diploma in Nuclear Safety, MIT, Boston (1977) Postgraduate coursework in Electricity Sector Regulation, 2008 His research focuses on smart grids, electricity system regulation, power system planning and operation, asset management, telecommunications for power systems, cybersecurity, and the application of big data and artificial intelligence in energy systems . He has led and contributed to major European projects such as H2020 and Horizon Europe, focusing on grid resilience, digitalization, and workforce skills development. The recent publications reflect a strong trend toward the digital transformation of electricity distribution networks , with emphasis on metrics, investment analysis, and the integration of distributed energy resources. His work spans from foundational reliability modeling in the 1980s to contemporary policy and technical frameworks for smart grids, showing a lifelong commitment to evolving energy infrastructure. Dr. Sánchez Fornié has been involved in several funded research projects and educational initiatives, including EDDIE, CoordiNet, and Digital Twin for Europe. He has also contributed to workforce development through sectoral skills alliances in the energy domain. He holds leadership roles in external organizations such as FUTURED and the European Technology and Innovation Platform on Smart Energy Networks (ETIP SNET), where he serves as Honorary Co-Chair of WG4. He has organized and participated in numerous scientific conferences and seminars, particularly on digitalization and education in the energy sector. Member, Education for the Digitalisation of the Energy System (EDDIE ASBL), Brussels (2024–Present) Board Member, FUTURED, Zaragoza (2017–Present) Co-Chair (Honorary), WG4, ETIP SNET, Brussels (2017–Present)

Jorge Bernal BernabeView profile

Associate Professor

• Cybersecurity
• Internet of Things (IoT) Security
• Network Security
• +7 more

Jorge Bernal Bernabe is an Associate Professor at the University of Murcia , affiliated with the Faculty of Informatics and the Department of Information and Communication Engineering . He holds a PhD in Computer Science from the University of Murcia (2015), focusing on 'Authorization and Trust Management in Distributed Systems Based on the Semantic Web.' His research group, Intelligent Systems and Telematics , explores cutting-edge cybersecurity solutions for IoT, 5G/6G networks, and privacy-preserving technologies. He is a key contributor to frameworks like OLYMPUS (privacy-aware identity management) and ARIES (European identity ecosystem). Education : PhD in Computer Science, University of Murcia (2015) Research Interests : His work centers on securing next-generation networks (e.g., 5G/6G), IoT privacy, federated learning applications for intrusion detection, blockchain-based identity systems, and policy-driven security enforcement. He emphasizes privacy-by-design principles and explores challenges in digital sovereignty and decentralized governance. Notable Projects : OLYMPUS: Oblivious identity management system ARIES: Pan-European identity framework ANASTACIA: Security agents for CPS/IoT INSPIRE-5Gplus: Cognitive security for 5G networks Labs/Teams : Active in the Intelligent Systems and Telematics Group , collaborating with industry partners on secure IoT deployments and 5G cybersecurity solutions.

• Energy Economics
• Smart Grids
• Renewable Energy Integration
• +4 more

José Pablo Chaves Ávila is an Associate Professor at the Engineering School (ICAI) and a researcher at the Institute for Research in Technology (IIT) at Comillas Pontifical University. He holds a Bachelor's degree in Economics from the University of Costa Rica, and Erasmus Mundus Master's degrees in Electric Power Industry and Digital Economics from ICAI and Paris Sud-11 University. His Ph.D. in Sustainable Energy Technologies and Strategies was awarded by Delft University of Technology (Netherlands), in collaboration with Comillas and KTH Sweden. His research focuses on smart grids, energy economics, renewable integration, and regulatory frameworks for electricity systems. Affiliations : Associate Professor, ICAI - Comillas School of Engineering Researcher, IIT - Institute for Research in Technology Deputy Director of IIT since October 2020 Visiting Positions : Lawrence Berkeley National Laboratory (USA) Massachusetts Institute of Technology (MIT) European University Institute (Italy) His research interests emphasize Energy Economics , Smart Grids , and Regulation of Electricity Markets . He has authored over 80 publications in journals like Applied Energy , Energy Policy , and Renewable & Sustainable Energy Reviews . Current projects include the EU-funded BeFlex and eFORT initiatives, focusing on flexibility markets, TSO-DSO coordination, and decarbonization strategies. Notable contributions include leadership roles in the ISGAN Academy (since 2016), ACER Expert Group on Demand Flexibility (2021), and CRIE Expert List (2020). His work bridges technical innovation with policy design, addressing challenges in grid modernization and energy transition. Grants and Projects : European Commission-funded eFORT (2022-2026) Horizon 2020 BeFlex (2022-2026) Spanish Ministry Modesc (2020-2023) Consultancy for regulatory bodies in Spain, Costa Rica, and Slovenia Labs/Teams : Active in IIT's Energy Systems Group and coordinates the Smart Grids and Regulation research cluster.

• Smart and Sustainable Grids
• Intelligent Systems
• Bioengineering
• +4 more

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.

Elena Montiel PonsodaView profile

Associate Professor

• Natural Language Processing
• Semantic Web
• Ontology Engineering
• +4 more

Elena Montiel Ponsoda is an Associate Professor in the Department of Applied Linguistics at the Faculty of Computer Science, Universidad Politécnica de Madrid (UPM), and a member of the Ontology Engineering Group since 2006. Her interdisciplinary expertise bridges linguistic sciences with computer science, focusing on multilingual aspects of knowledge representation. Education: PhD in Applied Linguistics (2011) from Universidad Politécnica de Madrid M.A. in Conference Interpreting and Translation (2000) from Universidad de Alicante B.A. in Technical Interpreting (2003) from Hochschule Magdeburg-Stendal, Germany Her research centers on the integration of linguistic resources with Semantic Web technologies, specializing in ontology localization, lexicalization, and multilingual terminology representation. She has pioneered approaches to connect translation studies with knowledge engineering, developing frameworks for linguistic linked data and semantic interoperability across languages. Recent publications reveal a strategic shift toward legal domain applications, with significant contributions to the LYNX project's knowledge graph for multilingual legal compliance. Her work demonstrates consistent innovation in representing terminological resources using OntoLex-lemon, with increasing focus on practical implementations in legal informatics and labor market analysis. As an active mentor, she has guided numerous graduate students through thesis research while participating in major international projects including NeOn, ICPS, Monnet, BabeLData, and LIDER. Her leadership extends to organizing key workshops on multilingual semantic web technologies and serving on program committees for top-tier conferences. Montiel Ponsoda maintains influential roles in W3C Community Groups (Ontolex, BMLOD, ld4lt), helping shape international standards for multilingual linked data and language technologies on the Web.

Gabriel Lopez MillanView profile

Professor

• Network Security
• Software-Defined Networking (SDN)
• Identity Management
• +5 more

Gabriel Lopez Millan is a Professor in the Department of Information and Communication Engineering at the Faculty of Informatics, University of Murcia. His work focuses on network security, identity management, and software-defined networking (SDN) systems. PhD in Information and Communication Engineering University of Murcia, 2006 Research interests include network access control , AAA infrastructure , and IPsec management , with a strong emphasis on SDN and IETF standards . Recent work explores EDHOC protocol integration for IoT security and automated rekeying in IPsec associations. His publications from 2019–2025 highlight trends in SDN-based security , TLS configuration standards , and YANG modeling for network security. He has contributed to RFCs and educational accreditation frameworks like Euro-Inf. Gabriel Lopez Millan serves as a key researcher in the Intelligent Systems and Telematics group and has collaborated with projects such as DAMe and CLASSe for secure network federations.

Maria Ribera SanchoView profile

Professor

• Software Engineering
• Conceptual Modeling
• Ontologies
• +4 more

Dr. Maria Ribera Sancho is a Professor at the Polytechnic University of Catalonia (BarcelonaTech), holding roles as Dean of the Faculty of Informatics of Barcelona (2004–2010), Vice-Dean (1998–2004), and currently Manager of the Education and Training Department at the Barcelona Supercomputing Center (BSC-CNS). She chairs the EQANIE Accreditation Committee and serves on the ACM-W Europe Executive Committee. Her research focuses on Software Engineering, Conceptual Modeling, Ontologies, Learning Analytics, and IoT applications. Notable contributions include work on automated design using conceptual models, model-driven software development, and semantic-based IoT infrastructure monitoring. She leads projects like LinDaFIX (social welfare data tools) and REMEDiAL (ontology-driven software automation). Key awards include the UPC Quality in Teaching Prize (2005, 2021), Jaume Vicens Vives Distinction (2005), Sapiens Award (2011), and Festibity Award (2011). She advises doctoral and master’s students on topics like IoT semantic monitoring and educational ontology development. Academic director of the inLab FIB Talent Program, she also directs the PRACE Advanced Training Center at BSC. Main projects include TINTIN (SQL integrity tool), e-Catalunya (collaborative government platform), and PILARES (learning analytics for secondary education). Her work bridges academia and industry through competitive projects with companies and institutions.

Sonia Solera CotanillaView profile

Assistant Professor

• Cybersecurity
• 5G Networks
• Internet of Things (IoT) Security
• +3 more

Sonia Solera Cotanilla is an Assistant Professor at the Universidad Politécnica de Madrid, specializing in cybersecurity, IoT security, and privacy protection in connected devices. She leads the RSTI research group, actively participates in European projects like DESIRE6G, 6Green, and ACROSS, focusing on 5G network security, energy efficiency, and cross-layer provisioning frameworks. Her work integrates hardware-software solutions for emerging technologies such as smart home systems, wearables, and e-voting infrastructure. Key affiliations: RSTI Group, Polytechnic University of Madrid Research areas: Cybersecurity frameworks, threat detection, privacy-preserving architectures Recent contributions include developing the SPEDIA system for insider threat detection, cybersecurity frameworks for FCAS risk assessment, and privacy analysis of wearable devices for minors. She has advised doctoral candidates like Mario Sanz Rodrigo and Carmen Sánchez Zas, both awarded PhDs in Telematic Systems Engineering. Notable awards: ISDEFE Prize for Best Doctoral Thesis (2024) Grants: National Cybersecurity Institute (INCIBE) funding, Horizon 2020 projects Labs/Teams: RSTI Group focuses on advanced cybersituational awareness platforms and secure IoT/IIoT infrastructure development. Current projects include GovTech4Impact, RAMONES, and e-Voting security audits for Minsait.

• Cybersecurity
• Healthcare IT Security
• Machine Learning
• +4 more

Carlos Cilleruelo Rodríguez is an Associate Professor in the Department of Computer Science at Universidad de Alcalá. He is affiliated with the TIFyC research group ("Information Technologies for Training and Knowledge") and specializes in cybersecurity, healthcare IT security, and authentication systems. His research focuses on dark web analysis, malware detection, and adaptive security frameworks. He earned his Doctorate from Universidad de Alcalá in 2023 with the thesis "A cybersecurity review of healthcare industry 2023" , supervised by Dr. José Javier Martínez Herráiz and Dr. Luis de Marcos Ortega. His work spans ransomware mitigation in manufacturing, continuous authentication architectures (JBCA), and privacy issues in IoT healthcare devices. Recent projects include the ProTego initiative for mobile authentication in eHealth environments. Publications highlight trends in machine learning for behavioral authentication, darknet interconnections, and security in Bring-Your-Own-Device (BYOD) healthcare settings. No scientific awards explicitly mentioned. Labs/teams: Active contributor to the TIFyC group, focusing on cybersecurity education and applied research in critical infrastructure protection.

Diego Sevilla RuizView profile

Associate Professor

• Software Engineering
• Database Systems
• NoSQL Technologies
• +3 more

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.

• Urban Mobility
• Traffic Simulation
• Smart City Technologies
• +2 more

Maria Paz Linares Herreros is a Senior Lecturer at the Universitat Politècnica de Catalunya (UPC) in the Department of Statistics and Operations Research within the Faculty of Mathematics and Statistics (FME). She is affiliated with the IMP - Information Modeling and Processing research group and inLab FIB. Her educational background includes a Licenciada en Matemáticas, a Doctorate from UPC, and a Master's in Logistics, Transportation, and Mobility. Licenciada en Matemáticas Doctorat from Universitat Politècnica de Catalunya Máster en Logística, Transporte y Movilidad Her research focuses on urban mobility , traffic simulation , and smart city technologies . She develops data-driven models for transportation systems and parking management, integrating deep learning techniques for real-time predictions. Her work addresses environmental impact assessment of traffic policies and inclusive mobility solutions . Recent publications analyze urban mobility trends through macroscopic and microscopic traffic models , deep learning applications for parking predictions, and dynamic ride-sharing systems . She explores IoT interoperability and data integration in transportation. Scientific awards include the IV International Award on Transport Infrastructure Management Research (2014). She participates in competitive R+D+I projects like ALGORAE and Virtual Mobility Lab, focusing on transportation innovation and smart city policy evaluation . She contributes to multimodal transport simulation frameworks such as CitScale and Barcelona Virtual Mobility Lab, which evaluate emerging mobility concepts and city policies using integrated modeling approaches .