Find Academic Supervisors

• Cloud Computing
• Green Computing
• High-Performance Computing
• +7 more

Jordi Guitart Fernández is a Professor at the Department of Computer Architecture, Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is also affiliated with the Barcelona Supercomputing Center (BSC-CNS), a leading national supercomputing facility. He leads the CROMAI research group, focusing on Computing Resources Orchestration and Management for AI. His work bridges high-performance computing, cloud systems, and artificial intelligence. Research Interests: Cloud Computing and Edge Computing Green and Energy-Efficient Computing Containerization and Virtualization for HPC Resource Orchestration and Management Autonomic and Self-Adaptive Systems Machine Learning Workflow Management AI-Driven System Optimization His recent publications reveal a strong focus on intelligent management of computing resources across cloud, edge, and HPC environments using machine learning and agent-based frameworks. He investigates performance, efficiency, and reliability in containerized AI and HPC workloads, particularly within Kubernetes and distributed infrastructures. His work increasingly integrates human-in-the-loop and trustworthiness aspects into AI systems. Scientific Awards: CLOUD Conference 2025 Best Paper Award VISIGRAPP 2025 Best Student Paper Award Premi Extraordinari de Doctorat 2025 - Àmbit d'Enginyeria de les TIC Test of Time Award Honorable Mention (e-Energy) Reconeixement als Mèrits Docents d'Especial Qualitat Top reviewers for Polytechnic University of Catalonia (Computer Science) - September 2017 Advising and Grants: He has advised doctoral students, including Peini Liu. He leads and participates in numerous competitive R+D+i projects, such as CROMAI and DALEST, funded by national and European programs like HORIZON 2020 and the Spanish State Research Plans. His work is supported by grants focused on knowledge generation and industrial leadership in computing technologies. Labs and Teams: He is the leader of the CROMAI - Computing Resources Orchestration and Management for AI research group at UPC. He also collaborates closely with the Barcelona Supercomputing Center (BSC-CNS), contributing to large-scale computing initiatives and strategic research agendas in Europe.

• Space Systems Engineering
• Computer Architecture
• Embedded Systems
• +5 more

Pablo Parra Espada is an Associate Professor at the Department of Automática, University of Alcalá (Spain), affiliated with the Space Research Group (SRG-UAH). He holds a PhD from the University of Alcalá (2012) titled Integración de tecnologías de desarrollo y análisis basadas en componentes bajo un enfoque multi-plataforma , supervised by Dr. Sebastián Sánchez Prieto and Dr. Óscar Rodríguez Polo. His research focuses on space systems engineering , particularly in RISC-V processor design , embedded systems , and model-driven engineering . Key areas include hardware-software co-design for satellite systems, real-time computing, and fault-tolerant architectures. He has contributed to the Solar Orbiter mission through work on the Energetic Particle Detector (EPD) and its on-board software validation. His recent work emphasizes virtualization techniques for LEON processors, FPGA-based digital beamforming , and spaceborne phased array systems . He also explores model-driven approaches for automated configuration of ground support equipment. His interdisciplinary contributions bridge computer architecture with aerospace applications. Prof. Parra Espada has published extensively on topics such as hardware performance monitoring, memory management units for satellites, and system-level verification of space software. His work combines rigorous engineering methodologies with cutting-edge technologies to address challenges in space instrumentation and embedded systems.

• Engineering Education
• Remote Experimentation
• Design for Debug & Test
• +3 more

Gustavo Alves is an Adjunct Professor at the Department of Electrical Engineering , School of Engineering , Polytechnic Institute of Porto , Portugal. He holds a PhD in Computers and Electrical Engineering from the University of Porto (1999) and has authored over 250 publications, including books, journal articles, and conference papers. His research focuses on engineering education , remote experimentation (weblabs), and design for debug & test , with significant contributions to global initiatives like the Global Online Laboratory Consortium (GOLC) and the Portuguese Society for Engineering Education (SPEE) , where he serves as President. Dr. Alves has led 19 national and international research projects and co-edited books on remote labs. His editorial roles include Associated Editor for IEEE Transactions on Learning Technologies and guest editorships for journals like iJOE , iJEP , and Computers in Human Behavior . He has chaired major conferences such as REV2014 , TEEM2015 , and EDUCON2020 , emphasizing the role of technology in bridging educational gaps and fostering diversity in STEM. His recent publications (2017-2019) analyze the effectiveness of remote labs in enhancing experimental skills, contextualizing mathematics in engineering education, and promoting sustainable laboratory practices. These works highlight trends in technology-enhanced learning , gender perspectives in engineering curricula , and collaborative education models . Despite his extensive involvement in conferences and projects, he has not yet supervised PhD students. Email: gca@isep.ipp.pt Phone: +351 228340532 Affiliations: IEEE Senior Member, President of SPEE, Vice-President of GOLC, member of OE and VISIR-SIG

• Software Quality
• Quantum Computing
• Information Systems
• +5 more

Mario Piattini is a Full Professor at the School of Computer Science of the University of Castilla-La Mancha (UCLM) in Spain, where he has served since 2002. He is the founder of the Alarcos research group and has held leadership roles including Director of the Mixed Center for Software Research and Development UCLM-Indra and Director of the Institute of Technologies and Information Systems (ITSI) at UCLM. He has also served as an associate professor at Universidad Complutense and Universidad Carlos III de Madrid. His educational background includes a PhD and degree in Computer Science from Universidad Politécnica de Madrid, a Psychology degree from UNED, and a Doctor Honoris Causa from Universidad de La Plata (Argentina). He holds multiple master's degrees in IT Audit, Human Resources Management, and Project Management, along with professional certifications including CISA, CISM, CRISC, CGEIT, PMP, and data governance certifications from DAMA. Professor Piattini is a leading expert in software quality, information systems, and security, with a recent strong focus on quantum computing and quantum software engineering. His research spans software engineering methodologies, data quality, AI systems, and the emerging field of quantum software development. He has been recognized as one of the top 15 scholars in systems and software engineering (2004-2008) and among the most active software engineering researchers (2010-2017). His recent publications reveal a significant shift toward quantum computing, with numerous articles on quantum software engineering, quantum-classical hybrid systems, quantum testing frameworks, and quantum software architecture. His work bridges theoretical foundations with practical engineering approaches for the emerging quantum computing paradigm. His scientific recognition includes multiple prestigious awards: Premio Nacional a la Trayectoria Profesional del Ingeniero Informático Premio Gabriel Alonso Herrera from JCCM for research trajectory Premio Grace Hooper from COIICLM Premio Aritmel from SCIE Premio FIUM from Universidad de Murcia Premio a la Trayectoria Profesional de ISACA Madrid As an academic leader, Piattini has founded several spinoff companies including Cronos Ibérica (now Alten), Kybele Consulting, Lucentia Lab, DQTeam, AQCLab (the first ENAC-accredited laboratory for software product quality and data evaluation), and I2SC. He serves as secretary of CTN71/SC7 and is a member of various ISO/IEC and UNE standardization committees, contributing significantly to software quality standards development. His research group has established AQCLab, which has been evaluating software quality for 25 years, demonstrating his long-term commitment to practical applications of software engineering research. Through his leadership in both academic and industrial contexts, Piattini has created a robust ecosystem connecting theoretical research with real-world software quality practices.

Georgios PortokalidisView profile

Research Professor

• Systems Security
• Binary Analysis
• Software Hardening
• +1 more

Georgios Portokalidis is an Associate Research Professor at IMDEA Software Institute and Visiting Research Professor at Stevens Institute of Technology. He leads research in software systems security with focus on binary analysis, software hardening, and operating system security. His research develops practical defenses against software vulnerabilities through techniques like binary debloating, system call filtering, and hardware-assisted security. Current projects explore Rust language security, processor-assisted protection mechanisms, and vulnerability mitigation through code reduction. Publication trends show evolution from foundational binary analysis to applied security hardening, with recent emphasis on Rust security, hardware-assisted defenses, and real-world system protection. Work demonstrates consistent focus on practical, deployable security solutions. He has supervised numerous PhD students and postdocs, currently mentoring researchers at IMDEA. His group investigates binary analysis, software debloating, and system hardening techniques. Major grants include DARPA YFA (2021-2023) and ONR funding (2017-2022) supporting adaptive binary debloating research. Leads the systems security research group at IMDEA Software Institute, collaborating with international partners. Maintains active research partnerships and regularly contributes to top security conferences as program committee member.

Antonio García CabotView profile

Associate Professor

• Artificial Intelligence
• Educational Technology
• Natural Language Processing
• +5 more

Antonio García Cabot is an Associate Professor in the Department of Computer Science at the University of Alcalá. His research focuses on artificial intelligence, educational technology, natural language processing, and mobile computing. He leads the INTELIA research group (Interaction Technologies and Artificial Intelligence Lab) and previously contributed to the PMI group (Intelligent Mobile Platforms). He earned his Doctorate in Computer Science from the University of Alcalá in 2013 with a thesis titled *Propuesta de un sistema multi-agente para la adaptación de contenidos docentes a las competencias, contexto y dispositivo del usuario*. His work emphasizes accessibility in digital education, gamification in MOOCs, and software engineering innovations like automated code repair using LLMs. Research trends in his 2024-2025 publications include: Advancing AI applications in educational assessment (e.g., automated question generation, distractor design) Improving mobile app usability through gesture-based interfaces and sensor integration Developing large language model-based tools for vulnerability repair and teacher simulation analysis Systematic reviews on digital competence ecosystems and multilingual AI systems His contributions to open educational resources (OER) and accessible virtual campuses have been widely adopted in Latin America. Current research extends into embedded systems education and olfactory stimuli impacts on mobile app performance.

Mari Carmen Suárez-FigueroaView profile

Associate Professor

• Ontology Engineering
• Semantic Web
• Linked Data
• +3 more

Mari Carmen Suárez-Figueroa is an Associate Professor at the Artificial Intelligence Department, School of Computer Science, Universidad Politécnica de Madrid (UPM). She is also a senior researcher at the Ontology Engineering Group (OEG). Her research focuses on Ontology Engineering, Semantic Web, and Linked Data, with emphasis on ontology networks, evaluation, and design patterns. She holds a PhD in Artificial Intelligence from UPM (2010) and has been recognized with an Outstanding Award from UPM's Graduate Doctorate Commission. Her work includes contributions to methodologies like the NeOn Framework, tools such as OOPS! for ontology validation, and participation in projects like NeOn, SEEMP, and Ready4SmartCities. She has organized conferences and workshops, including TKE 2012 and WOP 2012. Over 88+ publications span journals like International Journal of Information Technology & Decision Making and Data & Knowledge Engineering . Key achievements include co-editing Ontology Engineering in a Networked World (Springer, 2012) and leading interdisciplinary initiatives on inclusive consumer testing and semantic metadata standards. Ongoing projects address social inclusion via machine learning and educational service-learning programs.

• Educational Technology
• Augmented Reality in Education
• STEM Learning
• +4 more

MARIA BLANCA IBAÑEZ ESPIGA is an Associate Professor at the Telematics Engineering Department of Carlos III University of Madrid , specializing in educational technology and immersive learning environments. Her research focuses on integrating augmented reality (AR), virtual reality (VR), and artificial intelligence (AI) into educational practices to enhance student engagement and learning outcomes. Research Focus: Dr. Ibañez Espiga explores the application of augmented reality in STEM education, gamification for learning activities, and learning analytics to model student behavior in immersive systems. She has developed tools like BabloXR for WebXR applications, XploRe for solar system education, and Reaq for chemistry tutoring, demonstrating her commitment to innovative pedagogical solutions. Publications: Recent work includes studies on generative AI in education , cloud-based universities , and AR simulations in problem-based learning . Her research spans from 2010 to 2025, showing sustained contributions to technology-enhanced learning methodologies. Labs & Teams: She is affiliated with the eMadrid Network , a research group focused on learning methodologies, gamification, and quality in educational technology. Her projects often involve interdisciplinary collaboration, leveraging telematics engineering to create scalable educational solutions.

Miguel Á. DelgadoView profile

Professor

• Econometrics
• Non-Parametric Models
• Semi-Parametric Models
• +3 more

Miguel Á. Delgado is a Professor of Econometrics at Universidad Carlos III de Madrid, holding a Ph.D. in Economics from the London School of Economics. Previously, he served as an Assistant Professor at Indiana University. His academic roles include Editorships for journals like Econometric Theory and Journal of Econometrics . He has supervised 13 doctoral theses and teaches courses in Statistics and Econometrics across undergraduate and graduate levels. Education: Ph.D. in Economics (London School of Economics), Previous Position: Assistant Professor at Indiana University His research focuses on econometric methodologies in non-parametric and semi-parametric models, with publications in top-tier journals such as Econometrica and Journal of the American Statistical Association . Recent work integrates machine learning and generative AI into educational technology, addressing challenges in hybrid learning environments, MOOCs, and predictive student analytics. Publications highlight innovations in exercise modeling, telepresence classrooms, and AI-driven feedback systems, reflecting a dual focus on econometric theory and applied educational technology. Key Projects: Development of tools like ABENEARIO for early math education, and involvement in initiatives like PROF-XXI to enhance teaching competencies in the 21st century.

• Artificial Intelligence
• Educational Technology
• Game-Based Learning
• +3 more

Carlos José Villagrá Arnedo is a full-time Professor in the Department of Computer Science and Artificial Intelligence at the University of Alicante, where he has been employed since 1999. He holds a PhD in Computer Engineering (2016) and a Bachelor's in Computer Science from the Polytechnic University of Valencia (1994). He coordinates the Digital Creation and Entertainment program and previously served as Head of Studies for Multimedia Engineering. His research integrates Artificial Intelligence , Educational Technology , and Game-Based Learning , with specific focus areas including learning analytics, adaptive educational systems, programming pedagogy, and accessibility in gaming. Recent work explores mental model analysis using AI and low-level programming approaches to enhance learning outcomes. His publications demonstrate a consistent emphasis on predictive learning models, educational gamification, and inclusive technology design. Key trends include AI-driven analytics (2020-2024), programming error analysis (2018-2023), and accessible game development (2017-2019). Research Projects: Integrating Adaptive Flipped Learning in Physical Education Students (2024-2025) Smart Learning Research Group (2024) Semantic Web for Cultural Heritage (2019-2021) European Collaborative Learning for Robot Skill Acquisition (2016-2018) He has directed or co-directed 75+ undergraduate/master's theses in the last five years and leads the Smart Learning Research Group focused on intelligent educational technologies.

Gabriel MujicaView profile

Assistant Professor

• Networked Embedded Systems
• Internet of Things
• Wireless Sensor Networks
• +3 more

Gabriel Mujica is an Assistant Professor at the Technical University of Madrid (UPM), where he is affiliated with the Centre of Industrial Electronics. His research focuses on Networked Embedded Systems and the Internet of Things (IoT), with particular expertise in Wireless Sensor Networks (WSN) and urban mesh networking for smart city applications. His educational background includes: BE in Electrical and Electronics Engineering, Federal University of Paraíba (UFC/FRP), 2008 MSc in Industrial Electronics Engineering, Technical University of Madrid, 2012 PhD in Industrial Electronics Engineering, Technical University of Madrid, 2017 Dr. Mujica's research interests center on multi-hop distributed networks, hardware-software co-design for intelligent platforms, and communication protocols for embedded sensing systems. He has extensive experience in the development and optimization of Wireless Sensor Networks, integration of heterogeneous hardware and software, and performance evaluation of sensor platforms. His current work targets urban mesh networking for smart applications, with a focus on sustainable cities and leveraging collaborations from his doctoral research at Trinity College Dublin. His publications reveal a strong emphasis on practical implementations of Wireless Sensor Networks and IoT. Key themes include deployment strategies, performance evaluation, and tool development for WSN commissioning and maintenance. His work often bridges hardware and software, addressing challenges in energy efficiency, dynamic reprogramming, and multi-experimental capabilities in distributed embedded systems. No scientific awards were mentioned in the provided text. Dr. Mujica has co-supervised undergraduate projects and internships for international students, and has contributed to several national and European research projects. He has also organized research tutorials and seminars at UPM and served as a reviewer for international conferences and journals including IEEE and Springer. His doctoral research stay at Trinity College Dublin strengthened collaborations in distributed systems for smart and sustainable cities. He is an active member of the Centre of Industrial Electronics at UPM, where his team has developed integrated toolsets for WSN application planning, development, and maintenance, notably within the ARTEMIS-JU project. His lab focuses on implementing embedded platforms for urban mesh networking and smart application scenarios.

Sukyoung RyuView profile

Professor

• Programming Languages
• Program Analysis
• Static Analysis
• +5 more

Sukyoung Ryu is a Professor in the Department of Computer Science at KAIST's College of Computing, South Korea. Her research centers on programming languages and program analysis, with significant contributions to WebAssembly, JavaScript semantics, and language specification. She leads the Programming Languages Research Group (PLRG) at KAIST. Her research spans multiple critical areas including executable specification engineering, static analysis techniques, and language interoperability. Recent work focuses on WebAssembly conformance testing, C-to-Rust translation, and bridging real-world implementations with formal semantics. Her group develops practical tools like SpecTec for mechanized language specifications and JISET for JavaScript semantics extraction. Analysis of her 15 most recent publications reveals strong trends in executable specifications (7 papers), WebAssembly tooling (5 papers), and language translation (4 papers). Key methodological approaches include record-replay debugging, filtered-simulation for binary lifting, and algebraic data type transformations for memory safety. Ryu actively contributes to the programming languages community through leadership roles including Steering Committee Chair for APLAS, Program Co-Chair for SPLASH/OOPSLA, and committee positions at POPL, PLDI, and ICFP. She frequently organizes workshops on real-world language specification (RPLS) and presents keynotes on programming language research for social good. Her mentoring activities include co-chairing New Faculty Symposia and participating in RTFM panels on faculty mentoring. She advises students through KAIST's programs and supervises research in the PLRG lab, which focuses on building practical language tools with formal foundations. Current projects emphasize WebAssembly standardization, secure language interoperability, and specification-based testing frameworks.

• Global Program Analysis
• Verification
• Debugging
• +5 more

Manuel V. Hermenegildo is a Distinguished Professor at the IMDEA Software Institute and a Full Professor at the Department of Computer Science, Universidad Politécnica de Madrid. He holds a PhD in Electrical and Computer Engineering from the University of Texas at Austin (1986). His academic career spans over four decades, contributing to global program analysis, verification, and parallel computing. Education: PhD, Electrical and Computer Engineering, University of Texas at Austin (1986) M.S., Electrical and Computer Engineering, University of Texas at Austin (1984) M.S., Electrical Engineering, Technical University of Madrid (1981) Research Interests: His work focuses on global program analysis , verification , and optimization for functional/non-functional properties. He pioneered techniques in abstract interpretation , parallelism , and constraint/logic programming . His contributions include the Ciao programming system and the CiaoPP preprocessor, emphasizing static analysis and program debugging . Key Awards: ACM Fellow Julio Rey Pastor Prize (2006) Elected member of Academia Europaea (2010) Test of Time Award at ICLP 2017 His work has been cited over 10,000 times, with an h-index of 60. Leadership & Contributions: Founded and directed the IMDEA Software Institute Directed Spain's National Research Directorate (1999–2002) Chair of major conferences (POPL 2010, ICLP 2006) Labs & Teams: Leader of the CLIP Lab (Computational Logic, Implementation, and Parallelism) Principal investigator in EU-funded projects on resource-aware computing

Rui AbreuView profile

Professor

• Software Quality
• Software Testing
• Debugging
• +5 more

Rui Abreu is a Full Professor at the Faculty of Engineering of the University of Porto, Portugal. His academic career spans multiple institutions including IST, ULisbon where he served as an Associate Professor, and the University of Porto where he previously held the position of Assistant Professor. He has also been a Visiting Researcher at Google NYC (2019-2020) and a member of the Model-Based Reasoning group at PARC's System and Sciences Laboratory. Dr. Abreu earned his Ph.D. in Computer Science - Software Engineering from the Delft University of Technology, The Netherlands, and his M.Sc. in Computer and Systems Engineering from the University of Minho, Portugal. His research revolves around software quality with emphasis on automating testing and debugging phases of the software development life-cycle as well as self-adaptation. With extensive expertise in both static and dynamic analysis algorithms, his work spans traditional software engineering, quantum software testing, and security-focused development practices. His recent publications demonstrate a strong focus on applying AI techniques to software engineering problems, quantum software testing, and security vulnerability detection. The trend shows increasing integration of large language models in debugging tools and expanding research into quantum software verification. Dr. Abreu has received significant recognition for his work, including 6 Best Paper Awards and a Distinguished Paper Award at ESEC/FSE 2019. His research has attracted considerable attention in the software engineering community. As an entrepreneur, he co-founded DashDash in January 2017, a platform that allows users to create web applications using only spreadsheet skills. The company secured $9M in Series A funding in May 2018. His industry experience complements his academic work, particularly in the areas of practical software tools and applications. Dr. Abreu has been actively involved in numerous conferences, serving as General Chair for ICST 2020, Program Committee member for multiple tracks across various conferences, and as Steering Committee member for ICST. His leadership in the software engineering community is evident through his extensive service and contributions to the field.

Juan A. Recio GarcíaView profile

Associate Professor

• Case-Based Reasoning (CBR)
• Explainable Artificial Intelligence (XAI)
• Recommender Systems
• +3 more

Dr. Juan A. Recio García is an Associate Professor at the Department of Software Engineering and Artificial Intelligence within the School of Computer Science at Complutense University of Madrid (UCM) . He holds the BOSCH-UCM Honorary Chair on Artificial Intelligence applied to Internet of Things . His research focuses on Case-Based Reasoning (CBR) , Explainable AI (XAI) , and Recommender Systems , with applications in healthcare, security, and urban planning. He has led two projects as Principal Investigator and participated in six R&D initiatives, including four national and two European grants. His work includes the development of the COLIBRI platform , a CBR system with over 35,000 downloads. He has co-authored 67 publications, including 16 JCR-indexed articles, and received a best paper award and an honourable mention from the International Conference on CBR (ICCBR). Scientific Awards: Best Paper Award ICCBR Honorable Mention His projects include AUDITIA-X (Auditing AI via Explainability), iSee (Personalized Explanation Experiences), and PERXAI (Personalized XAI). He collaborates internationally, including at Robert Gordon University (UK) and University College Cork (Ireland).