Find Academic Supervisors

Ismail El MadafriView profile

Assistant Professor

• Applied Artificial Intelligence
• Sustainability
• Innovation in Higher Education
• +3 more

Ismail El Madafri is an Assistant Professor in the Graphic and Design Engineering Department at Universitat Politècnica de Catalunya (UPC), Spain. He holds a Mathematics degree from Université de Strasbourg (2020) and a Master in Didactics of Mathematics from Universitat Autònoma de Barcelona (2021). Currently pursuing a PhD in Sustainability at UPC, his academic work bridges engineering and AI-driven educational innovation. Education: B.Sc. Mathematics (Université de Strasbourg, 2020) M.Sc. Didactics of Mathematics (Universitat Autònoma de Barcelona, 2021) PhD in Sustainability (Universitat Politècnica de Catalunya, ongoing) Research Focus: Applying AI to sustainability challenges and innovating higher education through blended human-AI creative processes. His recent work explores wildfire detection algorithms, generative AI in education, and environmental simulation tools. Scientific Production: Focused on AI models for forest fire detection, educational technology integration, and environmental data analysis. Publications include lightweight CNN architectures, domain adaptation techniques, and open-source wildfire datasets.

Pedro Antonio Palmer RodríguezView profile

Senior Lecturer

• Computer Graphics
• Image Processing
• Mobile Application Development
• +5 more

Dr. Pedro Antonio Palmer Rodríguez serves as Senior Lecturer in the Department of Informatics Engineering at the University of the Balearic Islands' School of Mathematics and Computer Science. With continuous service since 1993, he teaches core theoretical and practical computer science subjects across multiple campuses including Majorca, Ibiza, and Minorca. His research focuses on multimedia technologies with specializations in: Image synthesis and deformable object representation Mobile and television application development Social media content analysis systems Algorithmic language implementations As an active member of both the Multimedia Information Technology (TIM) and Computational Biology and Bioinformatics (BIOCOM) research groups, he bridges theoretical computer science with practical multimedia applications. His current teaching portfolio emphasizes compilers, theory of computation, and final degree projects across various Informatics Engineering programs. Dr. Palmer Rodríguez maintains regular office hours in Anselm Turmeda building (Room 142) and supervises student research through the university's Informatics Engineering programs. His academic journey includes completing both undergraduate and doctoral studies at UIB, with his PhD awarded in 2014 after two decades of teaching experience.

• Computer Architecture
• Heterogeneous Systems
• GPU Computing
• +2 more

Juan Luis Aragón is a Full Professor of Computer Architecture at the University of Murcia. His research focuses on heterogeneous parallel systems, GPU architectures, and energy-efficient designs. He has been a visiting researcher at Princeton University multiple times and has advised 7 PhD theses. Research areas include GPU memory hierarchy optimization, warp scheduling techniques, and hardware-software co-design for efficient computing. Recent work explores tile rendering optimization and OS-level memory management improvements.

• Medical Image Analysis
• Machine Learning for Personalised Medicine
• Biomedical Engineering
• +3 more

Gemma Piella Fenoy is a Full Professor at the Universitat Pompeu Fabra (UPF), Department of Engineering. She holds a Telecommunication Engineering degree from the Universitat Politècnica de Catalunya (UPC) and a PhD in Applied Sciences from the Universiteit van Amsterdam. Her career includes postdoctoral research at Télécom Paris (Marie Curie Fellowship) and a Ramón y Cajal Researcher position. She co-founded the SIMBIOsys research group and the Barcelona Center of New Medical Technologies (BCN-MedTech), leading its research in Medical Image Analysis and Machine Learning for Personalized Medicine. Her work bridges theoretical foundations with clinical applications, recognized by awards like the ICREA Academia (2021) and DonaTIC (2022). She is a member of ELLIS and Sigma Xi, and served as co-chair of the Avicenna Alliance's AI Task Force (2023-2024). Research focuses on medical imaging, machine learning in healthcare, fetal MRI analysis, and AI-driven diagnostics. Notable projects include the LiverColor platform for liver graft assessment and BabyFM for 3D fetal facial modeling. Her work emphasizes interdisciplinary collaboration between engineering and clinical medicine, addressing challenges in prenatal care, neurological disorders, and personalized medicine. She actively contributes to global health initiatives and AI ethics in clinical applications. Education PhD in Applied Sciences, Universiteit van Amsterdam (The Netherlands) Telecommunication Engineering Degree, Universitat Politècnica de Catalunya (Spain) Her scientific contributions span over 150 peer-reviewed articles in top journals and conferences, with a focus on medical image analysis, AI in healthcare, and clinical decision support systems. She leads BCN-MedTech, a consolidated research group recognized by the Catalan government, and collaborates with international institutions on AI-driven medical solutions.

Antonio Agudo MartínezView profile

Researcher

• Computer Vision
• Robotics
• Non-Rigid Structure from Motion
• +3 more

Antonio Agudo Martínez is a Research Scientist at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish National Research Council (CSIC) and Polytechnic University of Catalonia (UPC). His work spans computer vision, robotics, and machine learning with applications in medical rehabilitation, sports analytics, and renewable energy systems. He holds advanced degrees in Industrial Engineering, Computer Science, and a PhD in Computer Vision and Robotics from the University of Zaragoza. His research focuses on non-rigid structure from motion , 3D reconstruction , and deformation analysis , with significant contributions to medical applications (stroke rehabilitation), sports analytics (soccer trajectory modeling), and industrial systems (wind turbine monitoring). His publication record shows consistent high-impact output at top venues like CVPR, ICCV, and ECCV, with recent work emphasizing uncertainty quantification in diffusion models and multi-agent trajectory prediction. Notable scientific recognition includes a Best Paper Award Honorable Mention at ECCV 2018 for GANimation: One-Shot Anatomically Consistent Facial Animation. His research portfolio includes leadership of national projects like GreenVAR (renewable energy systems) and GRAvatar (realistic avatar generation), alongside contributions to SMARTGAZE II for low-vision mobility assistance. Dr. Agudo actively supervises doctoral research in computer vision applications, with current PhD candidates focusing on multimodal tracking for autonomous vehicles, soccer video understanding, sports metrics, and avatar generation. His international collaborations include work at Harvard University, Queen Mary University of London, University College London, Bordeaux University, and National University of Entre Ríos.

Mark SteelView profile

Professor

• Bayesian Statistics
• Econometrics
• Distribution Theory
• +7 more

Professor Mark Steel is a faculty member at the University of Warwick , serving as Professor of Statistics since 2003. He previously held a Chair in Economics at the University of Edinburgh (1998-2000) and a Chair of Statistics at the University of Kent (2000-2003). He has also served as Head of the Statistics Department at Warwick (2014-2018) and as Editor-in-Chief of Bayesian Analysis (2022-2025). Education: Ph.D. in Quantitative Economics from Université Catholique de Louvain (1987) Steel's research focuses on Bayesian econometrics and statistics , with interests in distribution theory, model averaging, spatial statistics, nonparametric inference, survival analysis, and stochastic volatility. His work bridges theoretical advancements with applications in macroeconomics (growth theory) , microeconomics (stochastic frontier models) , and finance (stochastic volatility) . Recent publications highlight his contributions to Bayesian computation , copula-based classification , and spatiotemporal modeling . His editorial roles include leadership in Bayesian Analysis and Journal of Productivity Analysis . Scientific Awards: Fellow of the Journal of Econometrics Steel co-leads the Centre for Research in Statistical Methodology (CRiSM) at Warwick and has secured grants such as the EPSRC GR/T17908/01 for flexible distributional modeling in panel data. His collaborations span institutions in the UK, Spain, Italy, and the Netherlands, with co-authors like Roberto Casarin and Jairo Fúquene.

• Robotics
• Human-Robot Interaction (HRI)
• Assistive Robotics
• +5 more

Guillem Alenyà Ribas is a Researcher and Director at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of the Spanish Scientific Research Council (CSIC) and the Polytechnic University of Catalonia (UPC). He holds a PhD in Robotics from UPC (2007) with research focusing on mobile robot navigation. His current roles include leading multiple international projects in assistive robotics, deformable object manipulation, and human-robot interaction (HRI). Key affiliations include coordination of the ARISE (EU-DIGITAL-EMERGING), ROMANDIC (EU-WIDERA), and TRAIL (MSCA-DN) projects. Research interests span robotic manipulation of deformable objects, assistive robotics for elderly care, and HRI personalization/explainability. Notable achievements include the 2023 Georges Giralt PhD Award, 2024 Special Doctoral Award UPC, and 2022 AIHUB.CSIC Prize. He advises six PhD students focusing on topics like robotic frailty assessment and cloth manipulation benchmarks. Major projects include developing robotic systems for cotton harvesting (DEMETER 5.0), frailty monitoring (FRAILWATCH), and socially aware robotics (SWEET). His lab, the Perception and Manipulation Group, pioneers work in ontology-based robotic explanations and benchmarking tools for cloth manipulation. Over 150 peer-reviewed publications reflect contributions to computer vision, AI planning, and robotics hardware/software integration. Awards and grants include leadership in EU Horizon projects (€10M+ funding), and contributions to both academic (ERC Advanced Grant) and industrial collaborations (e.g., with PAL Robotics). His work bridges fundamental research with practical applications in healthcare, agriculture, and service robotics.

• Mechanical Engineering
• Railway Systems
• Multibody Dynamics
• +3 more

Eduardo Corral Abad is an Associate Professor in the Department of Mechanical Engineering at Carlos III University of Madrid, specializing in multibody dynamics, railway systems, and contact mechanics. His research spans industrial heritage, vibration analysis, and educational technology. Railway axle monitoring and crack detection using advanced signal processing Dynamic modeling of mechanical systems with nonlinear contact and friction forces Development of interactive teaching applications for engineering education Use of parallel computing and GPU acceleration in mechanical simulations His contact email is eduardo.corral@uc3m.es . Recent work includes publications on railway diagnostics, helical gear transmissions, and Android-based educational tools.

• Computer Graphics
• Geometric Modeling
• Light Simulation
• +3 more

Sergio Gonzalo Besuievsky is an Associate Professor in the Department of Computer Science, Applied Mathematics and Statistics at the University of Girona, where he is also a member of the Research Group in Geometry and Graphics. His work bridges computer science and applied physics, focusing on visual computing applications in urban environments. His research centers on computer graphics, particularly geometric modeling and light simulation in urban settings. These interests reflect a strong interdisciplinary approach combining software development, physics-based rendering, and computational geometry to model real-world environments with high visual fidelity. His background in physics and software underpins his technical contributions to visual simulation systems. The publications listed in his profile indicate a consistent focus on computer graphics and geometric modeling, although specific titles are not detailed in the provided text. This suggests a long-term engagement with visual computing applications in architecture, urban planning, and simulation technologies. No scientific awards were explicitly listed in the provided text. As a member of the Research Group in Geometry and Graphics, he contributes to collaborative projects and likely supervises students, though no specific advisees are named. There is no mention of external grants, but his participation in research projects and conferences implies active involvement in funded or institutional research activities. He is affiliated with the Research Group in Geometry and Graphics at the University of Girona, which focuses on geometric algorithms, computer graphics, and visualization techniques for scientific and engineering applications.

Olivia Florencias OliverosView profile

Assistant Professor

• Power Quality
• Higher-Order Statistics
• Electronics Instrumentation
• +3 more

Olivia Florencias Oliveros serves as Assistant Professor in the Department of Automation, Electronics, Architecture and Computer Networks Engineering at the University of Cadiz, Spain. She is an active member of the TIC168 Computational Instrumentation and Industrial Electronics (ICEI) research group, focusing on advanced power systems analysis and instrumentation. Education: PhD in Electrical Engineering from the University of Cadiz (2020), thesis: "Instrumental techniques for power quality monitoring" supervised by Dr. Juan José González de la Rosa and Dr. Agustín Agüera Pérez Research Focus: Dr. Oliveros specializes in power quality monitoring using Higher-Order Statistics (HOS) for grid disturbance analysis. Her work bridges electronics instrumentation , smart grid technologies , and renewable energy integration , with emphasis on visual measurement techniques, voltage sag detection, and meteorological impacts on photovoltaic systems. She develops novel methodologies combining traditional power indices with advanced statistical analysis for real-time grid monitoring. Publication Trends: Her recent work (2023-2025) demonstrates a cohesive research trajectory advancing HOS applications in power systems. Key themes include spatial-temporal voltage characterization, rule-based event classification, and integration of weather data for renewable energy forecasting. She consistently employs exploratory data analysis and machine learning to address challenges in non-intrusive monitoring and grid stability. Research Infrastructure: As part of the TIC168 ICEI group, she contributes to computational instrumentation projects focused on industrial electronics and power quality monitoring systems, utilizing Python-based tools (Grafana, virtual instruments) for data acquisition and analysis in real-world grid environments.

Juan Antonio Fernández del PozoView profile

Associate Professor

• Decision Analysis
• Intelligent Decision Support Systems
• Probabilistic Graphical Models
• +10 more

Juan Antonio Fernández del Pozo is an Associate Professor of Statistics and Operations Research at the School of Computer Science, Technical University of Madrid (UPM), and a member of the Computational Intelligence Group. With over 60 publications and participation in more than 30 national and international research projects, he is a leading researcher in decision analysis and intelligent systems. His educational background includes: Doctorate in Computer Science from the School of Computer Science, UPM (Thesis: "Listas KBM2L para la síntesis de conocimiento en sistemas de ayuda a la decisión") His research focuses on probabilistic graphical models (Bayesian networks/influence diagrams) for decision support, evolutionary algorithm optimization, and machine learning for data streams with concept drift. Key application domains span Social Network Analysis, Air Traffic Management, structural health monitoring, Industry 4.0, and social service quality modeling in collaboration with Spanish Foundations. His work emphasizes knowledge acquisition in large decision tables, explanation synthesis, and sensitivity analysis. Publication trends reveal two phases: foundational work (2000-2013) on Bayesian networks and medical decision systems (e.g., neonatal jaundice modeling), and recent applied research (2016-2018) addressing environmental restoration, transportation scheduling, and social innovation networks. Scientific awards: No scientific awards were mentioned in the provided text. Advising and grants: Supervised 12+ Master's Degree projects Supervised 50+ final degree projects Participated in 30+ research projects Served on 18+ doctoral thesis evaluation panels Labs and teams: Active member of the Computational Intelligence Group at UPM

• Artificial Intelligence
• Computer Graphics
• Virtual Reality
• +3 more

Carlos Cglez-Morcillo is an Associate Professor at the Higher School of Computer Science, University of Castilla-La Mancha (Spain), with an active career in academia since 2002. He holds a European PhD in Computer Science (2007) and a degree in Computer Science (2002) with an Extraordinary End-of-Degree Award. Currently, he serves as Academic Director of the Vice-Rectorate of Digital University and Director of the G9 Shared Digital Campus, while also being a founding member of the AIR Research Group and Creative Director of the university spin-off Furious Koalas. PhD in Computer Science (2007) BSc in Computer Science (2002) Technical Engineer in Computer Systems (2000) Research interests include Artificial Intelligence, Computer Graphics, and their applications in rehabilitation technology and educational innovation. His work spans mixed reality systems for stroke recovery, gamification in learning environments, and 3D rendering optimization. He has led 9 research projects with over €550,000 in funding and contributed to over 30 technology transfer initiatives. Recent publications focus on VR/AR applications for neurological rehabilitation, e-commerce metaverse environments, and AI-driven educational tools. His 15 most recent articles reflect interdisciplinary work bridging computer science with healthcare and business innovation. Scientific recognition includes being the first Spaniard to obtain the Blender Foundation Certified Trainer (2009) and leading award-winning projects like ICEIS 2025 Best Student Paper. He actively participates in conferences and media outreach, demonstrating commitment to public engagement through platforms like Naukas and CMM Radio.

José Manuel Valderrama ZafraView profile

Professor

• Geographic Information Systems (GIS)
• 3D Modeling
• Archaeological GIS
• +6 more

Professor José Manuel Valderrama Zafra, affiliated with the University of Jaén since 1996, specializes in Geographic Information Systems (GIS), 3D modeling, and their applications in archaeology and wildlife ecology. He contributes to the Biodiversity and Sustainable Development research group (RNM-175) and collaborates with the Andalusian Institute of Iberian Archaeology on projects like BAECULA and BAECULA II. His work integrates GIS, remote sensing, and BIM for cultural heritage preservation and ecological studies in Mediterranean ecosystems, particularly focusing on deer and wild boar habitats in Sierra Morena. Doctorate from University of Jaén (2024) on GIS and 3D technology for wildlife management. Supervised by Dr. Concepción Azorit, Dr. Miguel Ángel Rubio Paramio, Dr. Antonia Oya Lechuga. Collaborated with University of Leicester on Richard III's virtual reconstruction. His research spans GIS development, 3D modeling, and geomatics for archaeology and ecology. Key projects include the Ministry of Science's 1FD97-0865 for GIS in olive oil sectors and multidisciplinary studies with the Spatial Experimentation Lab (HUM155). Recent publications highlight innovations in BIM for advanced construction, 3D antler asymmetry analysis, and UAS mapping of historical sites. His work bridges archaeological GIS , ecological spatial analysis , and digital heritage reconstruction . He explores topography's role in species distribution and has systematized Boolean operations for 3D architectural printing. Collaborations include Duke University's Maurizio Forte and Durham University's Marta Diaz-Guardamino.

• Business Process Management
• Process Performance Measurement
• IT Service Management
• +3 more

Adela del Rio Ortega is a Full Professor at the University of Seville's Higher Technical School of Computer Engineering, working in the Languages and Computer Systems department. She leads research in the INGENIERÍA DEL SOFTWARE APLICADA (ISA) group and has been Principal Investigator in multiple national and EU projects like S-CUBE and RISE_BPM. Her work focuses on bridging business and IT through process performance measurement, decision management systems, and service-oriented architectures. She has co-authored books such as 'Desarrollo de Software Guiado por el Negocio' (2012) and developed tools like PPINOT for process performance indicator management. Her research interests include process variability analysis, SLA definitions for outsourcing, and dashboard generation for process analytics. She actively participates in major conferences like Business Process Management and CAiSE, serving as Senior PC member since 2019. Her contributions span over 50 peer-reviewed publications, with recent focus areas including flipped classroom methodologies in CS education and AI-driven decision support systems. She coordinates interdisciplinary projects involving academia-industry collaboration in Andalusian healthcare and aerospace sectors.

JOSE RAMON RIOS VIQUEIRAView profile

Professor

• Spatial Data Management
• Environmental Data Integration
• Geographic Information Systems (GIS)
• +6 more

Jose Ramon Rios Viñuela is a Professor at the Department of Electronics and Computing, University of Santiago de Compostela, affiliated with the Higher Technical School of Engineering. He holds a PhD from the University of A Coruña (2003) for his thesis on spatio-temporal data management. His research focuses on spatial databases, environmental data integration, smart city technologies, geographic information systems (GIS), and spatio-temporal data modeling. Key projects include TRAFAIR (traffic-air quality analysis), COGRADE research group (computer graphics and data engineering), and GeoHbbTV frameworks for geospatial interactive media. He leads efforts in distributed spatial data processing, semantic interoperability, and sensor network integration for environmental monitoring. Notable contributions include frameworks like TAQE (traffic-air quality modeling), GeoSPARQL query systems, and MeteoSIX meteorological platforms. His work bridges earth sciences with public accessibility through smart environmental infrastructures, emphasizing citizen engagement and open data dissemination. Current research trends explore big data analytics for geospatial applications, federated environmental data systems, and low-cost sensor networks for urban sustainability. He collaborates on projects involving air quality forecasting (GRAL model), spatial join optimization in large data lakes, and semantic mediation of environmental observation systems. His academic contributions span over 60 peer-reviewed publications across GIS, database systems, and environmental informatics.