جستجوی استاد راهنمای دانشگاهی

Miguel Ángel Sotelo Vázquez is a full Professor at the University of Alcalá, leading the INVETT Research Group (Intelligent Vehicles and Traffic Technologies). He holds the Department of Automatic Control and specializes in autonomous systems, particularly in path planning, sensor fusion, and human-vehicle interaction. His research integrates machine learning, robotics, and control theory to address challenges in intelligent transportation systems. He earned his Ph.D. in 2001 with a thesis on autonomous vehicle navigation in partially known environments. His work emphasizes real-world deployment, explainable AI, and safety-critical systems. Recent projects focus on lane change prediction, pedestrian behavior modeling, and cybersecurity for autonomous systems. Key contributions include neuro-symbolic frameworks for decision-making, real-time multi-physics field reconstruction, and cross-cultural studies of pedestrian interactions. He collaborates internationally on urban mobility resilience and hydrogen refueling infrastructure. Research Highlights : Development of knowledge graph-based prediction architectures Experimental validation of human-vehicle interaction in VR environments Creation of the SCOUT trajectory prediction framework

• Autonomous Vehicles
• Intelligent Transportation Systems
• Robotics
• +۷ مورد دیگر

Antoni Verger i Planells is Professor of Sociology at the Autonomous University of Barcelona and ICREA Acadèmia researcher specializing in educational policy and comparative education. He serves as editor-in-chief of the Journal of Education Policy and World Yearbook of Education, and coordinates the European Master GLOBED (Education Policies for Global Development) and GLANCE research group within GEPS-UAB. His research centers on the political economy of global education governance, with primary focus on privatization, marketization, and accountability systems. He examines how international organizations drive policy convergence through instruments like large-scale assessments and public-private partnerships, while analyzing equity implications across diverse national contexts including Spain, Latin America, and OECD countries. His work critically engages with theories of policy transfer, network governance, and the emerging global education industry. Verger's recent publications (2024-2025) reveal intensifying research on privatization dynamics, showing how corporate strategies shape education reform through policy entrepreneurship and regulatory innovation. His analysis of accountability regimes demonstrates how hybrid systems create contradictory pressures on schools, while his work on teacher governance exposes tensions between performance metrics and professional autonomy across regulatory contexts. Scientific recognition: ICREA Acadèmia award for research excellence He has directed major funded projects including ILSAINC (2019-2023) mapping the global assessment industry, REFORMED (2016-2022) analyzing autonomy/accountability policies, and EDUPARTNER (2013-2016) studying public-private partnerships. His grant portfolio demonstrates sustained funding for critical analysis of global education governance structures and their implementation. Through GLANCE research group and GLOBED master program, Verger fosters international collaboration on comparative education studies, connecting scholars from Global South and North to examine power dynamics in transnational education policy processes.

• Educational policy
• Comparative education
• Political economy
• +۵ مورد دیگر

Marta Conde is a Long Term Researcher at the Institute of Earth Sciences Jaume Almera (GEO3BCN), Spanish National Research Council (CSIC), and holds a Ramón y Cajal fellowship (2024). Her research addresses socio-environmental conflicts, environmental justice, and science-activism dynamics, with critical focus on extractive industries, deep sea mining governance, and post-growth transitions. Her educational background: PhD in Environmental Science, Institute for Environmental Science and Technology (ICTA), Autonomous University of Barcelona (2015) Master in Interdisciplinary Studies in Environmental, Economic and Social Sustainability, ICTA, UAB (2009) Postgraduate in Environmental Science, Birkbeck College, University of London (2001) Graduate in Agricultural Engineering, Universitat Politècnica de Catalunya, Barcelona (2000) Conde's research integrates Science and Technology Studies (STS) with political ecology to examine knowledge co-production in environmental conflicts. Her work spans extractive industry impacts, deep sea mining governance, urban gentrification, and degrowth theory, emphasizing community-led solutions for environmental justice and just transitions. This interdisciplinary approach bridges academic research with activist movements to challenge conventional sustainability paradigms. Her major recognitions include: Ramón y Cajal fellowship (2024) - Spain's premier research talent program I3 certification (2022) - National excellence in research leadership Marie Sklodowska Curie fellowship for Governing Resource Urbanisation (2021) Co-PI for Recercaixa project 'Activism Mobilising Science' (2018) Conde has secured competitive funding across international institutions: Marie Sklodowska fellowships at University of Queensland (2023) and ICTA-UAB (2025), EU project coordination for NATURVATION and B-MINCOME (2018), and Recercaixa project leadership at Pompeu Fabra University/John Hopkins (2020). Her Durham University affiliation (2016) established her early research trajectory in critical geography. Embedded in global research networks, she collaborates with the Centre for Social Responsibility in Mining and EU environmental governance initiatives, driving transdisciplinary work that connects academic rigor with frontline environmental justice movements through sustained knowledge co-production practices.

• Social reactions to extractive industries
• Socio-environmental conflicts
• Environmental Justice
• +۹ مورد دیگر

Luis Miguel Bergasa is a Full Professor at the Department of Electronics, University of Alcalá (UAH), with a career spanning over 25 years. He leads the RobeSafe Lab (since 2010) and serves as Director of Digital Transformation at UAH (since 2022). His academic roles include heading the Department of Electronics (2004–2010) and coordinating multiple educational programs. He teaches Perception Systems (Master in Industrial Engineering) Intelligent Control Systems (Computer Science) Computer Vision (Computer Science) His research focuses on Perception Systems for Intelligent Vehicles , emphasizing driver behavior analysis, scene understanding, and sensor fusion via deep learning. He has authored over 300 papers and holds 9 patents. Notable recognitions include being ranked #81 in Computer Science (Spain) by Research.com (2025) and receiving 30+ awards in Robotics/Automotive fields. Recent publications highlight advancements in Transformer-based driver action recognition (2025) Infrastructure-vehicle cooperative frameworks (2025) 3D semantic segmentation for autonomous perception (2024) Simulation-to-reality gap bridging (2024) Scientific Leadership Senior Editor, IEEE Transactions on ITS (2025) International Program Committee roles in 15+ conferences (2024–2025) Co-founder of Vision Safety Technologies Ltd (2009–2016) He supervises 9 active PhD students and has advised 14 former PhD candidates. His group collaborates with institutions in Germany, USA, China, and Spain, including KIT, UC Berkeley, and Northwestern Polytechnic University.

• Perception Systems
• Autonomous Vehicles
• Deep Learning
• +۴ مورد دیگر

Francisco Javier Pérez Castelo is a Professor in the Department of Industrial Engineering at Universidade da Coruña (UDC), specializing in Systems and Automation Engineering. He is affiliated with the Escola Técnica Superior de Enxeñaría and leads research in the Cyber Science and Technology Research Group. His research focuses on Intelligent Instrumentation, Industrial Internet of Things (IIOT), Knowledge Engineering, Expert Systems, and Intelligent Systems for modeling, optimization, and control . His work bridges theoretical control systems with practical applications in marine engineering, power electronics, and industrial automation. His research has significant applications in ship automation, marine systems control, and industrial robotics. Pérez Castelo's publication record shows a consistent trajectory in control systems and automation, with recent work emphasizing intelligent instrumentation, IIOT applications, neural networks, and expert systems in marine environments. His research has evolved from fundamental control theory to applied intelligent systems with strong industry connections. Patent: Universidade da Coruña (UDC) - 22/03/2013 request date, 11/08/2015 grant date Patent: Universidade da Coruña (UDC) - 01/10/2010 request date, 26/12/2013 grant date Patent: Universidade da Coruña (UDC) - 04/02/2008 request date, 29/03/2011 grant date Patent: Universidade da Coruña (UDC) - 19/07/2005 request date, 20/05/2009 grant date He has supervised numerous bachelor's and master's theses on topics including autonomous vehicles for ship maintenance, marine stability optimization, digital camera stabilization systems, and solar-powered LED lighting. His research has been supported by various funding entities including EMALCSA, CONSELLERIA DE EDUCACIÓN, Instituto Nacional de Ciberseguridad, and Ministerio de Ciencia e Innovación. Pérez Castelo actively collaborates with researchers across Spain and internationally, with projects spanning from 1995 to the present, demonstrating sustained research productivity. He teaches across multiple programs including the Master's Degree in Industrial Informatics and Robotics, Degree in Naval Engineering, and Degree in Marine Technologies, covering subjects such as Industrial Drives, Automation and Control Systems, Ship Installation Automation, and Advanced Control of Marine Systems. His teaching laboratory is located in the Laboratorio de Automática (ETSNM).

• Systems Engineering
• Automation Engineering
• Intelligent Instrumentation
• +۷ مورد دیگر

Antonio Maria Gonzalez Colas is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Department of Computer Architecture within the Faculty of Computer Science of Barcelona (FIB). He leads the ARCO research group focused on Microarchitecture and Compilers and is actively engaged in high-impact research in computer architecture, GPUs, and energy-efficient computing. His collaborations extend to the Barcelona Supercomputing Center and various national and European research initiatives. Research Interests: His primary research areas include computer architecture, microarchitecture, compilers, GPUs, and processor design. He focuses on energy-efficient computing, deep neural network (DNN) accelerators, GPU simulation and optimization, memory systems, and architectural support for machine learning and autonomous systems. His work often integrates compiler techniques with hardware design for performance and efficiency. Scientific Production Trends: His recent publications demonstrate a strong focus on energy-efficient hardware for AI workloads, particularly DNN and speech recognition acceleration, GPU architectural innovations, memory optimization, and real-time rendering. He frequently publishes in top-tier venues such as ISCA, MICRO, HPCA, and IEEE/ACM journals. ICREA Academia Award 2024 HiPEAC 2024 Paper Award ACM Senior Member (2020) Advising and Grants: He has advised numerous PhD students whose theses cover topics like energy-efficient architectures for autonomous driving, speech recognition, and neural networks. He leads competitive R&D projects, including an ERC Advanced Grant and projects funded by the Spanish National Program and the ICREA Academia program, focusing on domain-specific architectures and cognitive computing units. Labs and Teams: He is the principal investigator of the ARCO (Microarchitecture and Compilers) research group at UPC, a leading team in computer architecture research in Spain. The group is part of a larger collaborative network within UPC and with international partners.

• Computer Architecture
• Microarchitecture
• Compilers
• +۷ مورد دیگر

Pablo José Fernández Galdo is a faculty member at the University of A Coruña, affiliated with the University College of Industrial Design and the Department of Civil Engineering. His expertise lies in Engineering Projects, with a strong focus on industrial design, product development, and additive manufacturing. He is an active member of the research group 'Observatorio para el diseño e innovación en movilidad, medios de transporte y automoción', contributing to innovation in transportation and mobility systems. His research interests span Industrial Design , Product Development , Additive Manufacturing , Automotive Design , Urban Furniture , and Smart Mobility . He emphasizes design methodology, sustainability, and user-centered innovation, particularly in educational and real-world applications. His work integrates design with engineering principles to solve contemporary mobility challenges. The recent articles and project concepts reflect a strong trend toward future mobility , including autonomous vehicles, electric transportation, shared urban mobility, and habitat vehicles for sports tourism. Many projects are linked to industry collaborations, especially with SEAT/Cupra, indicating applied research with commercial relevance. There is a recurring focus on design for experience , adaptability , and innovation in public and personal spaces . He has supervised numerous final-year and master's theses, mentoring students in advanced design projects. His collaborative work includes publications in engineering education and service-learning practices, highlighting his commitment to pedagogical innovation. His research has been supported through various R&D contracts with entities such as Fundación PRODINTEC, TELEVES S.A., CTAG, and LOREFAR S.L., demonstrating strong industry engagement. He has contributed to books and journal articles, particularly in the domain of design education and applied engineering. He is involved in designing experimental projects, models, and prototypes, often in collaboration with students and other researchers. His work environment fosters innovation through hands-on workshops and real-world design challenges, especially in the context of sustainable and intelligent mobility solutions.

• Industrial Design
• Product Development
• Additive Manufacturing
• +۹ مورد دیگر

Rafael Barea Navarro is a Professor in the Department of Electronics Technology at the University of Alcalá. His research focuses on biomedical engineering, autonomous systems, robotics, artificial intelligence, and driver safety. He leads the Biomedical Engineering Research Group (GIB) and the Robótica de Servicios y Tecnologías para la Seguridad Vial (Robesafe) group. His work bridges AI applications in medical diagnostics (e.g., multiple sclerosis via OCT) and advanced autonomous vehicle technologies, including motion prediction, reinforcement learning, and real-time safety systems. Education: PhD in Electronics from the University of Alcalá (2001), with a thesis on EOG-based human-computer interfaces for mobility assistance. His research spans over 50 peer-reviewed articles since 2000, emphasizing practical applications in healthcare and robotics. Key research themes include: 1) AI-driven medical diagnostics; 2) autonomous vehicle control systems; 3) sensor fusion for navigation; and 4) driver attention monitoring. His work integrates robotics, computer vision, and biomedical signal processing. Publications emphasize interdisciplinary approaches, with recent work combining OCT and explainable AI for early disease diagnosis, and hybrid reinforcement learning frameworks for urban autonomous driving.

• Biomedical Engineering
• Autonomous Systems
• Robotics
• +۴ مورد دیگر

Alberto Sanfeliu Cortés is a Full Professor of Computational Sciences and Artificial Intelligence at the Universitat Politècnica de Catalunya (UPC), where he has been a faculty member since 1981. He is affiliated with the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of UPC and CSIC, and serves as the Scientific Director of the Unit of Excellence Maria Maeztu at IRI. He leads the Mobile Robotics research line and coordinates the Artificial Vision and Intelligent Systems Group (VIS). He previously served as director of IRI and the UPC Department of Automatic Control. Research interests: His work spans Artificial Intelligence, Robotics, Computer Vision, Pattern Recognition, SLAM, Human-Robot Interaction, Autonomous Systems, and Networked Robotics . He focuses on both theoretical and applied aspects, including urban robotics, autonomous navigation, and the integration of large language models in robotic systems. His research is deeply interdisciplinary, bridging engineering, AI, and societal applications. The recent publications highlight a strong trend toward human-centered robotics , particularly in urban environments, last-mile delivery, and cybernetic avatars. There is growing emphasis on large language models for explainability and personalization, collaborative robotics , and context-aware navigation using vision transformers. His work increasingly addresses societal integration of robots in smart cities and sustainable systems. Scientific Awards: Technology Prize from Generalitat de Catalunya Fellow of the International Association for Pattern Recognition (IAPR) Advising and Grants: He has supervised multiple PhD students, with current advisees working on topics like human intention learning and LLM-enhanced interaction. He has led 45 R&D projects, including 16 EU-funded ones, and was coordinator of the URUS project. Current projects include TORNADO (foundation models for robots handling deformable objects) and SOCIAL PIA (cybernetic avatars). He has also collaborated with Volkswagen Research on autonomous driving initiatives. Labs and Teams: He leads the Artificial Vision and Intelligent Systems (VIS) group and the Mobile Robotics research line at IRI, a premier robotics institute in Spain. His team is actively involved in EU and national projects, focusing on real-world deployment of intelligent robotic systems.

• Artificial Intelligence
• Robotics
• Computer Vision
• +۱۲ مورد دیگر

Lara Nonell is an Associate Professor in the Department of Biosciences at the University of Vic – Central University of Catalonia and Head of the Bioinformatics Unit. She holds a Doctorate in Biomedicine from Pompeu Fabra University (2019) and has expertise in bioinformatics, cancer diagnostics, and multiomics data analysis. Her research focuses on developing computational methods for biomarker identification and cancer progression modeling. Education Doctorate in Biomedicine, Pompeu Fabra University (2019) MSc in Information Technology Management, La Salle Ramon Llull University (2000) Bachelor’s in Mathematics, Autonomous University of Barcelona (1996) Research Interests Dr. Nonell’s work integrates machine learning, bioinformatics pipelines, and multiomics data to drive precision oncology. Key areas include: Biomarker development for cancer diagnostics Epithelial-mesenchymal transition mechanisms in metastasis Gene expression profiling in leukemias and lymphomas Systems biology approaches to comorbidities like diabetes and cancer Publications Her 20+ peer-reviewed articles (2019-2023) span oncology, immunology, and bioinformatics. Recent work includes: Epigenetic drivers of hepatoblastoma progression MYC-driven gene signatures in melanoma prognosis MicroRNA regulation in cutaneous lymphomas Grants & Labs Leads the Bioinformatics Unit supporting VHIO research. Collaborations include multi-institutional projects in Barcelona’s biomedical ecosystem. No specific grants mentioned in the text.

• Bioinformatics
• Cancer Diagnostics
• Machine Learning in Biomedicine
• +۳ مورد دیگر

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.

• Computer Vision
• Robotics
• Non-Rigid Structure from Motion
• +۳ مورد دیگر

Miguel Meléndez Useros is a PhD Candidate in Mechanical Engineering at the Universidad Carlos III de Madrid (UC3M), affiliated with the Advanced Vehicle Dynamics and Mechatronic Systems (VEDYMEC) research group. His work focuses on control systems for vehicles, particularly in areas like fault detection, active/semi-active suspension systems, autonomous platoons, and H-infinity control methodologies. He is involved in projects such as the EU-funded EcoMobility initiative (2023–2026), aimed at advancing electrical mobility solutions, and collaborations with institutions like the Tashkent State Technical University. His research bridges theoretical control approaches with practical applications in vehicle dynamics, emphasizing robustness and real-time adaptability. Key research interests include: Vehicle platoons and heterogeneous systems control Fault-tolerant mechanisms for sensors/actuators IoT-driven estimation architectures for vehicle stability Magnetorheological dampers for semi-active suspensions Publications highlight innovations in: robust output feedback control, adaptive platoon management, and optimal braking strategies based on road conditions. Recent work addresses challenges like mass uncertainty in platoons and disturbance compensation in autonomous systems. No scientific awards are explicitly mentioned, though his work shows strong engagement with peer-reviewed journals (e.g., IEEE Transactions on Reliability, Sensors) and conference contributions. Grants/Projects: Leading roles in EU-funded EcoMobility (€ funding) Collaborations with the Institute of Biomechanics of Valencia International exchanges with Uzbekistan's Tashkent State Technical University Labs/Teams: Core member of VEDYMEC, specializing in advanced vehicle dynamics research with applications in mechatronics and autonomous systems.

• Vehicle Dynamics
• Control Systems
• Autonomous Vehicles
• +۳ مورد دیگر

Ramon Sarrate Estruch is a Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola Superior d'Enginyeries Industrial, Aeroespacial i Audiovisual de Terrassa (ESEIAAT) and the Department of Systems Engineering and Automation. His professional category is 'Professor Agregat,' reflecting his senior academic role. He leads research in the SIC (Sistemes Intel·ligents de Control) and CS2AC-UPC (Supervision, Safety and Automatic Control) groups, focusing on advanced control systems, fault diagnosis, and automation. His educational background includes a degree in Industrial Engineering and a Doctorate in Industrial Engineering from UPC. He has consistently contributed to academic projects and collaborations, evidenced by over 159 documented activities, including research projects, conference presentations, and publications in peer-reviewed journals such as Engineering Applications of Artificial Intelligence and International Journal of Applied Mathematics and Computer Science. Ramón's research interests revolve around fault-tolerant control, model predictive control (MPC), and reliability-aware systems. He has pioneered work in actuator fault estimation, LPV system control, and health-aware frameworks for critical infrastructure. His work emphasizes practical applications in industries like aerospace (UAV systems) and energy (gas turbines). Notable projects include coordination of autonomous vehicles, health management for UAVs, and safety-critical control systems. His contributions span 30+ years, with impactful publications from 1993 to 2024. He collaborates extensively with peers like F. Nejjari, V. Puig, and J. Quevedo, driving advancements in supervision, safety, and automatic control.

• Control Systems
• Fault Diagnosis
• Automation
• +۳ مورد دیگر

Antonio González Colás is a Full Professor at the Universitat Politècnica de Catalunya (UPC), affiliated with the Facultat d'Informàtica de Barcelona (FIB) and the Department of Computer Architecture. He leads the ARCO research group (Microarchitecture and Compilers) and focuses on advanced computer architecture, including GPUs, compilers, and embedded systems. In 2024, he received the ICREA Acadèmia distinction for his research on future computer systems integrating cognitive tasks and autonomous decision-making. His work emphasizes energy-efficient architectures, memory optimization, and hardware acceleration for AI and real-time applications. He holds a Doctorate in Computer Science and has over 1000+ publications, including top-tier journals and conferences. His research spans topics like GPU microarchitecture, compiler-assisted caching, DNN acceleration, and autonomous driving hardware. Major awards include the HiPEAC 2024 Paper Award and EU-funded projects under Horizon 2020. He advises numerous PhD students on topics such as point cloud processing for autonomous systems, GPU rendering optimizations, and neural network efficiency. His contributions bridge theoretical computer architecture with practical hardware-software co-design, addressing challenges in modern computing systems.

• Computer Architecture
• Compilers
• GPUs
• +۴ مورد دیگر

Martín Bayón Gutiérrez is an Assistant Professor at the Department of Electrical Engineering and Systems and Automation, within the School of Industrial, Computer Science and Aerospace Engineering at the University of León. His research focuses on Systems Engineering and Automation, with a strong emphasis on robotics, IoT security, and machine learning applications. Thesis: Percepción y optimización en plataformas robóticas autónomas (2025) Advisors: Dr. Maite García-Ordás, Dr. José Alberto Benítez Andrades His work spans multiple domains including autonomous robotics, cybersecurity for IoT environments, and biomedical applications. Recent publications demonstrate expertise in SLAM algorithms, network security, and multi-sensor fusion techniques. Research projects include: CAD2SLAM adaptive mapping systems IoT-based smart office QoS optimization CoAP attack detection in IoT networks ASD detection through social media text analysis LiDAR and camera sensor fusion for road detection

• Systems Engineering and Automation
• Robotics
• Internet of Things (IoT)
• +۳ مورد دیگر