Find Academic Supervisors

Luis Miguel Hernández AcostaView profile

Associate Professor

• Software Engineering
• Mobile Computing
• Computer Vision
• +3 more

Luis Miguel Hernández Acosta serves as an Associate Professor in the Department of Telematics Engineering at the University of Las Palmas de Gran Canaria (ULPGC), affiliated with both the GIR IUMA: Information and Communications Systems research group and the IU of Applied Microelectronics. His academic work spans software engineering and telematics systems within the School of Engineering. His research interests focus on Software Engineering , Mobile Computing , and Computer Vision , with significant contributions to practical applications including web/mobile platforms for service management, computer vision for medical diagnostics, and communication systems. Current projects demonstrate strong industry alignment in restaurant management, transportation optimization, and telemedicine solutions. Analysis of recent publications reveals consistent expertise in full-stack development, real-time systems, and cross-platform frameworks, with increasing integration of machine learning techniques since 2022. Key thematic trends include Practical implementation of publish/subscribe architectures for real-time notifications Computer vision applications in medical diagnostics Optimization algorithms for transportation and service platforms Advising Activities: Supervised 28 bachelor/master theses (2021-2025) Specializes in guiding telecommunications and computer engineering students Projects span mobile development (65%), web platforms (25%), and AI applications (10%) Research Infrastructure: Works within the Department of Telematics Engineering's ecosystem, leveraging resources from both GIR IUMA and the Applied Microelectronics Institute for hardware-software integration projects.

• Machine Learning
• Robotics
• Computer Vision
• +12 more

Alberto Tellaeche Iglesias is a Lecturer at the University of Deusto's College of Engineering, Department of Computing, Electronics and Communication Technologies. He holds a Ph.D. in Systems Engineering and Automation (UNED, 2008) and an M.Sc. in Automation and Electronics Engineering (University of Deusto, 2001). With over 17 years in industrial R&D, he has worked at Tekniker Foundation (2007–2019) and led research projects under European FP7/H2020 and national programs. Ph.D., Systems Engineering and Automation, UNED (2008) M.Sc., Automation and Electronics Engineering, University of Deusto (2001) His research focuses on Machine Learning , Robotics , and Computer Vision , particularly for industrial automation and precision agriculture. He has published 15 recent papers on topics like 3D vision systems, federated learning for defect detection, and hybrid classifiers for agricultural monitoring. His work bridges Pattern Recognition and Industrial Automation , with applications in quality control, human-robot interaction, and smart cities. Grants and projects include EU-funded AI-Driven Cognitive Robotic Platforms (2021–2024), HAZITEK (2019–2022), and national initiatives like Edge Technologies for Industrial Distributed AI (2021–2024). He has supervised the thesis 'Progress in Industrial Photogrammetry' (2019) and serves on doctoral committees. He previously worked at Tekniker Foundation's Smart and Autonomous Systems unit and is part of interdisciplinary teams integrating 3D Vision and Deep Learning for industrial applications.

• Human-AI Interaction
• Edge Computing
• Workplace Wellness Technology
• +3 more

Oihane Gomez Carmona is a dedicated researcher at the Faculty of Engineering, University of Deusto, specializing in human-AI interaction systems and edge computing applications. Her work bridges computer science with practical implementations in workplace wellness, smart cities, and behavioral change technologies. Affiliated with multiple European research consortia, she actively contributes to Horizon 2020/Europe projects driving digital transformation. Her research focuses on privacy-preserving IoT architectures , adaptive machine learning systems , and community-centric digital solutions . Key themes include optimizing computational resources at the edge, designing ethical behavioral nudges, and developing micro-volunteering frameworks for environmental monitoring. Her work consistently addresses the human factor in technology adoption, particularly in workplace wellness programs and rural community engagement. Gomez Carmona's publication trends reveal strong emphasis on Human-in-the-loop machine learning (2022-2024) Energy-efficient behavioral systems (2023-2024) Rural digital transformation (2022-2024) Privacy-by-design architectures (2020-2021) with increasing focus on EU-funded large-scale deployments since 2021. Her scientific contributions are supported by significant European funding: AURORAL (2021-2025): €7M EU project for rural digital ecosystems REACH (2020-2024): €11M data value chain incubator WOSOCIEBE (2021-2024): €5M city observation project DEUSTEK (2022-2025): Basque government research grant She actively collaborates with the Deustek research group and participates in cross-institutional teams developing citizen science platforms, workplace wellness systems, and smart city furniture. Current projects include Food Assistant (consumer behavior change) and EngageMate (classroom interaction analytics), demonstrating her commitment to socially impactful technology design.

Aitor Canibe SánchezView profile

Professor

• International Sports Management
• University Sports Policy
• Strategic Planning in Sports
• +3 more

Aitor Canibe Sánchez is a Professor and academic leader in Physical Activity and Sports Sciences at Camilo José Cela University, Spain. He holds a Graduate degree from the Polytechnic University of Madrid (1995) and two Master's degrees in Sports Management (2013, 2014). He currently serves as Deputy Director General of Sports Facilities for the Community of Madrid and is a member of the European Universities Sport Association (EUSA) Executive Committee. His academic roles include teaching 'Organization of Sporting Events' and 'Sports Facilities Management,' and directing the International Diploma in Sports Management at San Ignacio de Loyola University, Paraguay. Education: Bachelor's: Physical Activity and Sports Sciences (Polytechnic University of Madrid, 1995) Master's: Management of Sports Organizations and Facilities (Polytechnic University of Madrid, 2013) Master's: Sports Programs Management (Camilo José Cela University, 2014) His research focuses on international sports management, university sports governance, and strategic planning for high-performance programs. Notable projects include analyzing barriers to women's leadership in sports and evaluating youth sports competitions. He has organized over 40 international events, including World University Championships and European Games, and contributed to FISU's strategic plans. Professional highlights include leading the design of Peru's USIL Center for Academic and Sports Excellence and advising on Spain's national sports policies. He received the 2012 Sports Management Award from the University of Málaga. Awards: Premio Gestión Deportiva 2012 Key Roles: Event Organizer for over 40 international sports competitions, Academic Leader in Latin America, and Policy Advisor for Spain's Superior Sports Council.

• Autonomous Vehicles
• Computer Vision
• Intelligent Transportation Systems
• +5 more

Jose Maria Armingol Moreno is a Full Professor at the University Carlos III of Madrid, affiliated with the Department of Systems Engineering and Automation. He serves as Director of the Master's Degree in Internet of Things: Applied Technologies and leads the Intelligent Systems Laboratory research group within the Duque de Santomauro Institute of Motor Vehicle Safety. His expertise spans autonomous systems, computer vision, robotics, and intelligent transportation infrastructure. Key research interests include vehicle safety, sensor fusion, and deep learning applications in traffic monitoring and autonomous navigation. He has authored over 100 peer-reviewed articles, with recent work focusing on 3D vehicle detection, UAV battery systems, and intelligent infrastructure for smart cities. Dr. Armingol has also led numerous projects on autonomous vehicle development, cooperative driving systems, and traffic safety technologies. His contributions include patented innovations in vehicle inspection and collision avoidance systems.

Rafael Valencia GarciaView profile

Professor

• Computer Science
• Knowledge Management
• Natural Language Processing
• +2 more

Rafael Valencia Garcia is Full Professor in the Department of Computer Science and Systems Engineering at Universidad de Murcia's Faculty of Informatics. His research develops modeling, processing and knowledge management technologies through semantic approaches. He leads the Tecnomod research group focusing on knowledge extraction and semantic technologies. His 2005 PhD thesis 'Un entorno para la extracción incremental de conocimiento desde texto en lenguaje natural' pioneered incremental knowledge extraction methods under Dr. Jesualdo Tomás Fernández Breis and Dr. Rodrigo Martínez Béjar's supervision. His recent publications demonstrate strong focus on NLP applications for social good: Advanced hate speech detection using multi-task learning Multimodal emotion recognition in Spanish Few-shot learning strategies for low-resource scenarios AI moderation systems for inclusive communication The research consistently integrates transformer architectures with linguistic features across diverse tasks including author profiling, persuasion detection, and emotion analysis. He regularly contributes to SemEval and IberLEF evaluation campaigns, developing state-of-the-art systems for detecting harmful content and analyzing emotional patterns in digital communication.

Antonio Martinez SanchezView profile

Researcher

• Artificial Intelligence
• Bioinformatics
• Image Processing
• +5 more

Antonio Martinez Sanchez is a Ramón y Cajal Researcher at the University of Murcia's Faculty of Informatics, Department of Information and Communication Engineering. His research focuses on computational methods for cryo-electron tomography, artificial intelligence, and bioimaging. He holds a PhD from the University of Almería (2013), specializing in differential geometry-based computational techniques for electron tomography. Education : PhD in Computer Science, Universidad de Almería (2013) His research interests include deep learning applications in microscopy, membrane protein analysis, and high-performance computing for 3D imaging. Recent work emphasizes template matching, orientation estimation, and automated pipelines for cryo-electron tomography. He leads the AIKE (Artificial Intelligence and Knowledge Engineering) research group and contributes to tools like ScipionTomo and MemBrain. Articles highlight advancements in computational methods for structural biology, such as fast cross-correlation algorithms and deep learning-driven orientation estimation. These techniques address challenges in analyzing cellular architecture and viral interactions. His work bridges computer science and biology, advancing tools for subcellular imaging and data reproducibility. Labs/Teams : AIKE: Artificial Intelligence and Knowledge Engineering research group.

José Manuel Fernández GonzálezView profile

Associate Professor

• Antenna Design and Prototyping
• Metamaterials
• Microwave Engineering
• +4 more

José Manuel Fernández González is an Associate Professor at the School of Telecommunication Engineering of the Polytechnic University of Madrid (UPM), where he has held academic roles since 2013. He specializes in antenna design, metamaterials, and microwave engineering, contributing to national and international research projects. Education : "Diplôme d'Ingénieur Électricien" (Telecommunications), École Polytechnique Fédérale de Lausanne (EPFL), Switzerland, 2003. Research Focus : His work emphasizes antenna prototyping, metamaterial applications, and millimeter-wave systems. He explores innovative materials and manufacturing techniques (e.g., 3D printing) for compact, high-performance antennas. Key areas include satellite communications, 5G infrastructure, and RF energy harvesting. Awards & Grants : Fulbright Visiting Researcher, University of Colorado Boulder (2018). National Research Grant (FPU Program, Spain, 2006–2010). Advising & Projects : He collaborates with companies like INDRA SA and Sistemas Radiantes Moyano SA on projects such as InTerSpaCE-5G+ and FUTURE-RADIO . His research outputs include over 50 peer-reviewed articles and patents in antenna design and microwave systems. Labs & Teams : Active in the Radiation Group at UPM, focusing on advanced antenna configurations and electromagnetic sensing applications.

• Nonlinear Functional Analysis
• Calculus of Variations
• Partial Differential Equations
• +5 more

Dr. Joan Duran Grimalt is an Associate Professor at the University of the Balearic Islands (UIB) , affiliated with the Department of Mathematical Sciences and Computer Science . He is a member of the Mathematical Image Analysis (TAMI) research group and Institute for Community Code Computing Applications (IAC3) . His work bridges nonlinear functional analysis , calculus of variations , and deep learning for applications in image processing and computer vision . PhD in Mathematics (2016) from UIB MSc in Advanced Mathematics and Mathematical Engineering (2011) from UPC BSc in Mathematics (2010) from UIB His research integrates partial differential equations , convex optimization , and deep unfolding architectures to solve problems in satellite imaging , hypersharpening , and low-light image enhancement . Recent work focuses on nonlocal regularization, multi-head attention mechanisms, and model-guided neural networks. He has led two research projects and collaborated with institutions such as the French National Centre for Space Studies (CNES) and the Balearic Islands Oceanographic Centre . Key contributions include: State-of-the-art methods for pansharpening and hypersharpening using nonlocal modules Unfolding frameworks combining variational models with deep learning Retinex-based enhancement techniques for low-light imaging He has supervised PhD students Daniel Torres and Francesc Alcover and taught courses like Partial Differential Equations , Fundamentals of Mathematics , and Mathematical Models for Image Restoration across multiple degrees including Mathematics, Computer Engineering, and Chemistry. His personal website provides further details.

Alberto Ortiz RodríguezView profile

Professor

• Computer Vision
• Mobile Robotics
• Pattern Recognition
• +6 more

Dr. Alberto Ortiz Rodríguez is a Full Professor at the Department of Mathematics and Computer Science, University of the Balearic Islands (UIB), where he has been a faculty member since 1992. His research focuses on Computer Vision , Mobile Robotics , Pattern Recognition , and Machine Learning . PhD in Computer Science (UIB, 2005) Member of INTER research group (Intelligent Embedded Systems and Robotics) Member of Artificial Intelligence Research Institute of UIB (IAIB) His work addresses applications in Micro-Aerial Vehicles (MAVs) , defect detection for visual inspection , object recognition , and target tracking . He leads European and national R&D projects like FUSIGEMAP (PID2022-139248NB-I00) and BUGWRIGHT2 (H2020 GA 871260). Recent publications demonstrate expertise in radial basis function neural networks , modular indistinguishability operators , and UWB-based localization . Research spans robotics, industrial inspection, healthcare quality control, and multi-robot coordination. Best Paper Award at ESTYLF 2021 Active reviewer for robotics and AI journals Member of IEEE Robotics and Automation Society (RAS) Member of International Association for Pattern Recognition (IAPR) He contributes to autonomous robotic inspection systems for ships, storage tanks, and hospital environments, with over 170 publications in robotics, computer vision, and AI.

• Cognitive Neuroscience
• Reading Research
• Orthographic Processing
• +2 more

María Fernández López is an Assistant Professor (Ajudant Doctor/A) at Universitat de València's Faculty of Psychology and Speech Therapy, affiliated with the Department of Basic Psychology and the ERI Reading Research institute. Her research focuses on cognitive neuroscience of reading, particularly orthographic processing and visual word recognition mechanisms. She completed her PhD in 2022 at Universitat de València with the thesis "How literacy shapes orthographic processing" , supervised by Dr. Manuel Perea Lara, Dr. Marta Vergara Martínez, and Dr. Ana Marcet. Research Interests: Dr. López investigates how the brain processes written language using experimental methods like masked priming, lexical decision tasks, and ERP measurements. Key themes include: Resilience of reading systems to distortions (rotated/replaced letters, accents, case-mixing) Neural mechanisms of word recognition and priming effects Impact of literacy on orthographic processing Visual similarity and positional coding in lexical access Her recent publications (2020-2025) predominantly explore: Sandwich priming dynamics and temporal processing windows ERP correlates of letter degradation and rotation tolerance Top-down feedback in visual word recognition Specialized processing of logotypes and city names She leads/co-leads the READit Cognitive Neuroscience and Reading research group, focusing on experimental psycholinguistics and neurocognitive approaches to reading.

• Computer Vision
• Robotics
• Image Processing
• +3 more

ROI SANTOS MATEOS is an Assistant Professor at the University of Santiago de Compostela, affiliated with the Department of Electronics and Computing under the Higher Technical School of Engineering. His research group focuses on Artificial Vision, with expertise in computer vision, robotics, and 3D reconstruction. He completed his doctoral studies at the University of Santiago de Compostela in 2019, with a thesis titled 'From line matching to 3D abstraction,' supervised by Dr. Xosé Manuel Pardo López and Dr. José Ramón Fernández Vidal. His research emphasizes scene wireframe sketching for unmanned aerial vehicles, outlier detection in line matching, and adaptive algorithms for low-textured images. Key themes in his work include unmanned systems navigation, 3D modeling, and robust feature matching in challenging imaging conditions. Publications highlight contributions to drone vision systems, autonomous navigation, and computer vision applications in art authentication. No scientific awards or grants are explicitly mentioned in the provided text. He advises no listed students and has no mentioned labs or teams beyond his affiliation with the Artificial Vision research group.

• Consumer Behavior
• Pharmaceutical Markets
• Technology Products
• +5 more

Pradeep K. Chintagunta is the Joseph T. and Bernice S. Lewis Distinguished Service Professor of Marketing at the Booth School of Business, University of Chicago. He has previously taught at Harvard Business School and Cornell University's S.C. Johnson Graduate School of Management. His research focuses on empirical analysis of Consumer behavior in packaged goods, pharmaceutical, and online markets Pricing and advertising strategy Distribution channels Development marketing for emerging economies Recent publications analyze Gender-matched mentorship in entrepreneurship Pharmaceutical price regulation in India Marketing communication in new product categories Platform disintermediation dynamics Technology's impact on managerial performance These works employ structural models and field experiments across diverse markets. Scientific recognition includes Hillel J. Einhorn Award for Excellence in Teaching O'Dell Award finalist (twice) BusinessWeek's top professor recognition He advises policymakers on pharmaceutical regulation and technology adoption through field experiments with Coursera, mobile app firms, and retail chains. His teaching spans full-time, evening, weekend, and international programs, emphasizing continuous learning and market adaptation.

• Physical Education
• Sports Science (Water Polo Analysis)
• Motor Skills Development in Children
• +3 more

Pablo Garcia Marin is a contracted Professor at the University of Santiago de Compostela's Teacher Training Faculty within the Applied Didactics Department. He specializes in physical education, sports science focusing on water polo analysis, and motor skill development in children. His research group, Edunartex, explores intersections between education, nature, art, and excursionism. He holds a PhD from the Autonomous University of Madrid (2009) with a thesis on quantitative evaluation of water polo tactics. His work emphasizes rule analysis, teaching methodologies, and child psychology through motor activities. Recent studies include active rest programs for university students' well-being and innovative physical education practices in early childhood and primary education. Education: PhD in Physical Education (Autonomous University of Madrid, 2009) Key Research Areas: Water polo tactical analysis, youth sports pedagogy, motor skills assessment Professional Affiliations: Applied Didactics Department, Teacher Training Faculty, University of Santiago de Compostela Research trends highlight a focus on rule evolution's impact on sports performance, teaching style effectiveness in youth sports, and integrating motor skills with emotional development in preschoolers. Over 50 publications span water polo technical studies, sports regulation proposals, and educational innovation. Awards and grants are not explicitly mentioned in the provided texts. His advising record remains unspecified, though his work implies collaboration with educational institutions and sports organizations.

Xosé Ramón Fernández VidalView profile

Associate Professor

• Computer Vision
• Visual Attention
• Scene Recognition
• +5 more

Xosé Ramón Fernández Vidal is an Associate Professor at the Applied Physics Department of the University of Santiago de Compostela (Spain), where he has worked since 1992. His research focuses on Computer Vision and Visual Attention , with applications in robotics, photogrammetry, and scene recognition. PhD in Physics (1996) from the University of Santiago de Compostela MS in Physics (1991) from the same institution Key research areas include: Visual attention modeling and saliency detection 3D reconstruction using wireframes Scene recognition with invariant features Line matching in low-textured images Motion segmentation via energy features Recent publications (2017-2021) demonstrate expertise in dynamic saliency , UAV navigation , and synthetic dataset generation . Collaborations include researchers like Xosé M. Pardo, Xavier Otazu, and Victor Leboran. Funding projects involve robotics automation and "glocal" machine learning for intelligent devices.