جست‌وجوی استاد و پژوهشگر

Martial Hebertمشاهده پروفایل

استاد

• Computer Vision
• Robotics

Martial Hebert serves as the Dean of the School of Computer Science at Carnegie Mellon University, a position he assumed in August 2019. He is the sixth dean to lead the school since its inception in 1988 and holds the title of University Professor of Robotics. Professor Hebert is an active participant in global AI discussions, with an upcoming speaking engagement at the AI and Planet session on May 30, 2024, where he will address "Generative AI and regulation: From local implementations to global standards." Professor Hebert is a leading researcher in the fields of computer vision and robotics. His work has contributed significantly to advancing these disciplines, which are critical components of modern artificial intelligence and autonomous systems. His expertise spans theoretical foundations and practical applications of vision systems and robotic technologies, positioning him as a key figure at the intersection of academic research and real-world AI implementation. As Dean of one of the world's most renowned computer science schools, Hebert oversees a diverse academic community dedicated to innovation and excellence in computing education and research. Under his leadership, the School of Computer Science continues to maintain its position at the forefront of technological advancement and academic achievement in the computing field, while also engaging with critical issues around AI governance and regulation.

Jaume Sanz Subiranaمشاهده پروفایل

استاد

• GNSS Data Processing
• Ionospheric Sounding
• Satellite Navigation Systems
• +۷ مورد دیگر

Prof. Jaume Sanz Subirana is a Tenure Full Professor of Mathematics at the Universitat Politècnica de Catalunya (UPC), BarcelonaTECH, and a Senior GNSS Scientific Researcher. He has been affiliated with the Department of Mathematics since 1983. His primary research focuses on GNSS data processing algorithms, ionospheric sounding, and high-accuracy navigation systems like WARTK and Fast-PPP. He co-founded the spin-off company gAGE-NAV S.L. in 2009 and served on the European Space Agency's GNSS Scientific Advisory Group (2018-2022). Prof. Sanz Subirana holds a Physics degree (1982) and a PhD in Galactic Dynamics (1987) from the Universitat de Barcelona. He has authored over 100 peer-reviewed papers (50+ in top JCR journals), 200 conference works, five books (including ESA-commissioned volumes), and holds four patents. His work has earned four best paper awards and UPC's Merit Recognition for teaching excellence. His research group, gAGE/UPC, specializes in GNSS navigation algorithms, ionospheric monitoring, and SBAS/GBAS systems. Key contributions include ionospheric gradient monitoring, real-time kinematic positioning, and mitigation of space weather effects on navigation signals.

• Biomedical Signal Processing
• Respiratory Monitoring
• Sleep Disorders
• +۴ مورد دیگر

Prof. Raimon Jané Campos is a leading figure in biomedical signal processing at the Universitat Politècnica de Catalunya (UPC) and Universitat de Barcelona (UB). As co-director of UPC's Biomedical Signal and System Group (CREB) and coordinator of the Biomedical Engineering PhD Programme, he bridges engineering and clinical applications. His work focuses on respiratory and sleep disorder diagnostics, with significant contributions to COPD and sleep apnea monitoring through wearable devices and machine learning. PhD in Biomedical Engineering (UPC, 1989) Visiting researcher at Université de Nice-Sophia Antipolis Vice-president of Spanish Society of Biomedical Engineering Research spans respiratory mechanics , sleep-disordered breathing , acoustic biomarkers , bioimpedance , and machine learning in biomedical contexts . His 2025 work on microcalorimetric pathogen classification and 2024 spiking neural networks for apnea detection demonstrate cutting-edge integration of computational methods with physiological monitoring. Articles from 2017-2024 reveal consistent focus on non-invasive diagnostics , cardiorespiratory synchronization , and smartphone-based health solutions . Awarded the Barcelona City Technology Research Award (2005) and serving on the International Advisory Board for Physiological Measurement since 2010, his career combines academic leadership with real-world clinical translation through IBEC's technology transfer initiatives.

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

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

Martín Alegre, Saraمشاهده پروفایل

استاد

• Gender Studies
• Science Fiction Literature
• Cultural Analysis
• +۵ مورد دیگر

Sara Martín Alegre is a Professor in the Department of English and German Studies at the Autonomous University of Barcelona (UAB). She specializes in Gender Studies, Science Fiction, and Cultural Analysis, with a focus on posthumanism and masculinity in media. Her research explores themes such as gender fluidity, AI ethics, and the intersection of popular culture with academic discourse. She has directed numerous research projects and supervised doctoral theses, including works on human-eating monsters in film and transhumanism in literature. Her teaching includes courses on contemporary Anglophone literature, gender studies, and Victorian literature. She actively collaborates in publishing initiatives, such as e-books with students and academic monographs on topics like masculinities in cinema and science fiction. Her work bridges traditional literary analysis with modern digital humanities, emphasizing the role of popular fiction in academic exploration. Award-winning scholar and author, her contributions include monographs like *Detrás de la máscara: masculinidades americanas en el documental contemporáneo* (2023) and edited volumes on topics ranging from children in cinema to 21st-century miniseries. Her research highlights the sociopolitical implications of gender representation in media, from Shakespearean adaptations to modern science fiction narratives.

Fernando Sánchez-Figueroaمشاهده پروفایل

استاد

• Software Engineering
• Big Data
• Business Intelligence
• +۳ مورد دیگر

Fernando Sánchez-Figueroa is a Full Professor at the University of Extremadura's Department of Computer Systems Engineering and Telematics. He is a co-founder of Homeria Open Solutions, a spin-off engaged in R&D projects under EU frameworks. His research focuses on Software Engineering, Machine Learning, Data Visualization, and Ambient Intelligence. He has authored over 50 scientific articles and led numerous R&D contracts with public and private entities. Key roles include: Academic: Full Professor at University of Extremadura Entrepreneur: Co-founder of Homeria Open Solutions Research: Participation in EU-funded projects and development of AI-driven solutions for healthcare, smart cities, and education Research Interests: Machine Learning applications in healthcare, predictive analytics for education, and sustainable smart city technologies. His work bridges theoretical advancements with practical implementations, such as medical image segmentation using SAM models and cost-efficient UAV systems. Publications: Recent works include decision support systems for employability analysis, zero-shot learning in medical imaging, and recommender systems for education. He emphasizes data-driven approaches and model-driven engineering in software development. Impact: Developed tools like CompareML for preliminary data analysis and LiveSankey for advanced web visualization. His contributions span academia and industry, addressing challenges in healthcare, urban sustainability, and educational technology.

Katherine Villaمشاهده پروفایل

پژوهشگر

• Photocatalysis
• Nanomaterials
• Renewable Energy
• +۷ مورد دیگر

Katherine Villa is a Group Leader at the Institute of Chemical Research of Catalonia (ICIQ), where she leads cutting-edge research in light-driven systems for energy, health, and environmental applications. Her work bridges chemistry, materials science, and nanotechnology, focusing on nanostructured photocatalysts and self-propelled micro/nanorobots. PhD in Chemistry from Autonomous University of Barcelona Former senior scientist at Center for Advanced Functional Nanorobots, Prague Current research group leader at ICIQ, Tarragona, Spain Her research interests center on photocatalysis, nanomaterials, renewable energy, and environmental remediation . She designs nanostructured materials for solar fuel generation and develops photoactive micromotors for water purification and biomedical applications. Her work aligns with EU Sustainable Development Goals, particularly in clean energy and environmental protection. The recent publications highlight a strong trend in functional micro/nanorobots , gas-phase CO2 conversion , and advanced photocatalytic systems . These works span from fundamental charge transport studies to real-world applications in pollution removal and green hydrogen production. Scientific awards and honors include: ERC Starting Grant (2022) BBVA Leonardo Grant in Basic Sciences (2023) RSEQ Young Investigator Award – Group Leader (2023) Member, Young Academy of Spain (2023) BIST Mother of Science Award (2021) Member, Early Career Editorial Board, Applied Catalysis B She actively mentors a diverse team of PhD and master's students , and her group receives substantial funding from the European Research Council (ERC) , Horizon Europe , Marie Skłodowska-Curie Actions , and Spanish national programs such as Juan de la Cierva and FPI . She is also involved in outreach, training workshops for grant applications, and public science communication. Her research group operates within a collaborative ecosystem at ICIQ, leveraging advanced scientific core facilities for material characterization, synthesis, and analysis. Projects like PhotoSwim , TherMotors , and PhotoClean reflect the interdisciplinary and innovative nature of her lab.

Luis Merino Cabañasمشاهده پروفایل

استاد

• Robotics
• Systems Engineering
• Automation
• +۵ مورد دیگر

Luis Merino Cabañas is a Professor at the Universidad Pablo de Olavide , affiliated with the Deporte e Informática department and leading the SRL Service Robotics Laboratory . His research focuses on robotics, systems engineering, and automation, with a specialization in human-robot interaction and path planning. Education : PhD in Systems Engineering from the Universidad de Sevilla (2007), where his thesis explored cooperative perception techniques for multiple unmanned aerial vehicles in forest fire detection. Research Trends : Recent work (2023–2025) emphasizes 3D path planning, sensor fusion (LiDAR, radar, inertial systems), neural distance fields for safe navigation, and socially aware robotics. His studies integrate AI, genetic programming, and multi-modal perception for applications in construction, healthcare, and GNSS-denied environments. Labs & Teams : He leads the SRL Service Robotics Laboratory , contributing to projects like the Skyeye team and BIM2ROS integration for construction robotics.

• Precision Agriculture
• Optical Engineering
• Remote Sensing
• +۳ مورد دیگر

Dr. Jose Manuel Sánchez Peña is a Full Professor at Universidad Carlos III de Madrid (UC3M), affiliated with the Grupo Universitario de Tecnologías de Identificación (GUTI). His research focuses on precision agriculture technologies, optoelectronics, and neuroscientific interfaces. He leads projects on drone-based crop monitoring, renewable energy systems, and machine learning applications in environmental science. Key research areas include: UAV remote sensing for water stress and weed management in viticulture and maize Optical communication systems leveraging photovoltaic integration Machine learning models for precision agriculture Neuroscientific studies on multisensory emotion elicitation Publishing trends show strong focus on: Drone technology advancements (42% of recent articles) Optoelectronics and VLC systems (28% of recent articles) Neuroscience applications (15% of recent articles) Sustainable agricultural practices (12% of recent articles) Laboratory activities center around GUTI's interdisciplinary teams working at the intersection of engineering, agriculture, and neurotechnology.

• Systems Engineering
• Automation
• Control Systems
• +۳ مورد دیگر

Manuel Bejar Domínguez is a Professor at the Department of Sports and Information Technology, Universidad Pablo de Olavide. He earned his PhD in 2010 from the University of Seville with a thesis on Methodology and techniques for designing control systems of autonomous helicopters , supervised by Dr. Aníbal Ollero Baturone. His research focuses on Systems Engineering, Automation, and Robotics , particularly in UAV navigation and autonomous helicopter control . His 2007 publication with Federico Cuesta and Aníbal Ollero explores control systems and hierarchical behavior-based architectures for unmanned aerial vehicles, emphasizing image-matching algorithms and optical flow analysis for autonomous landing.

Raúl Suárez Feijóoمشاهده پروفایل

پژوهشگر

• Robotized Assembly
• Fine Motion Planning
• Robotized Grasping and Manipulation
• +۴ مورد دیگر

Summary Raúl Suárez Feijóo is a Researcher at the Universitat Politècnica de Catalunya (UPC) in the Institut d'Organització i Control de Sistemes Industrials (IOC). Born in Asturias, Spain (1959), he holds an Electronic Engineering degree from the National University of San Juan, Argentina (1984), and a Doctorate in Engineering from UPC (1993). His research focuses on robotized assembly, fine motion planning, grasping, and multi-robot systems. He has led the IOC as Deputy Director (2003–2009) and Director (2009–2016). He coordinates doctoral programs in Automation and Robotics at UPC. Suárez has authored numerous publications and received awards including the Best Paper Award at IEEE ISATP (1995) and the Best Reviewer Award at ICRA (2015). Education: Electronic Engineer (1984, Argentina), Doctor Engineer (1993, UPC) Leadership Roles: Director of IOC (2009–2016), Coordinator of Doctoral Programs Research: Over 100 publications in robotics, emphasizing grasping, manipulation, and industrial automation. His work includes contributions to robotic hands, motion planning, and collaborative robotics. Notable projects involve 5G-enabled robotic systems and multi-AGV traffic management. Awards highlight his impact in both international and national robotics communities.

• Artificial Intelligence
• Computer Science
• Swarm Robotics
• +۵ مورد دیگر

Ramón Luis Rizo Aldeguer is a University Professor in the Department of Computer Science and Artificial Intelligence at the Higher Polytechnic School of the University of Alicante. He has held this position since 1996 and continues to be actively involved in teaching and research as recently as 2025. He previously served in various leadership roles including Director of the Department of Computer Science and Artificial Intelligence (1997-2004) and Deputy Director of the Institutional Projects Area at the University of Alicante (2012-2020). His educational background includes a PhD in Computer Science from the Polytechnic University of Valencia (1992) and a degree in Mathematics from the University of Valencia (1977). He has been a member of the Spanish Association for Artificial Intelligence since 1990 and has held leadership positions within the organization. Rizo Aldeguer's research focuses on artificial intelligence with particular emphasis on swarm robotics, UAV deployment, and deep reinforcement learning. His work bridges theoretical foundations with practical applications in robotics and autonomous systems. He has made significant contributions to educational methodologies, particularly in integrating computational tools into engineering education. His publication record shows a consistent trajectory in swarm intelligence and robotics, with recent publications (2018-2023) demonstrating increasing sophistication in applying deep reinforcement learning to complex multi-agent systems. His research spans both theoretical advancements and practical implementations in robotics and autonomous systems. Fifteen five-year research periods (trienios) Six teaching merit periods Five six-year research periods (sexenios) President of Organizing Committee of VI Conference of Spanish Association for Artificial Intelligence (1995) President of Scientific Committee of CAEPIA (1999) Rizo Aldeguer has supervised 14 doctoral theses, with many receiving the highest honors (SOBRESALIENTE CUM-LAUDE). He has participated as a researcher in over 30 competitive public research projects, serving as principal investigator in 12 of them. His educational projects include innovative teaching methods and the development of computational tools for engineering education. He has been instrumental in the design and implementation of computer science programs at both the University of Alicante and the Polytechnic University of Valencia. He is a founding member of the University Institute for Computer Research and directed the Industrial Computing and Artificial Intelligence research group from 1992 to 2004. His current research continues to focus on swarm robotics and intelligent systems, with active participation in the Valencian Graduate School and Research Network of Artificial Intelligence since 2021.

Luis Miguel Bergasaمشاهده پروفایل

استاد

• Perception Systems
• Autonomous Vehicles
• Deep Learning
• +۴ 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.

Abolfazl Simorghمشاهده پروفایل

پژوهشگر

• Aircraft Trajectory Optimization
• Climate Change Mitigation in Aviation
• Robust Control
• +۳ مورد دیگر

Abolfazl Simorgh is a researcher at Charles III University of Madrid's Department of Aerospace Engineering, specializing in climate-optimized aviation systems. His work bridges mathematical control theory with practical climate impact mitigation, focusing on robust trajectory optimization under environmental and operational uncertainties. He leads development of open-source tools for sustainable flight planning while contributing to major European aviation initiatives. Education: B.Sc. in Control Engineering (2017) M.Sc. in Control Engineering (2020) Ph.D. in Aerospace Engineering from Charles III University of Madrid Dr. Simorgh's research centers on developing mathematical frameworks that reconcile aircraft trajectory optimization with climate impact reduction. His expertise spans robust control systems, optimization under uncertainty, and climate modeling integration, with particular emphasis on non-CO₂ emissions. His methodology addresses both CO₂ and non-CO₂ climate forcing mechanisms through computationally efficient algorithms that account for weather variability and climate metric uncertainties. This work directly supports aviation's decarbonization by providing operational strategies that reduce environmental footprint without prohibitive cost increases. Analysis of his 15 most recent publications reveals a cohesive research trajectory focused on operationalizing climate-optimal flight planning. His work consistently integrates climate science with aerospace engineering through robust optimization frameworks, demonstrating particular innovation in handling multiple uncertainty sources (weather, climate models, emissions). The publications cluster around three interconnected themes: 1) Development of open-source computational tools (ROOST, CLIMaCCF), 2) Network-scale implementation of climate-aware air traffic management, and 3) Risk analysis of climate mitigation strategies. This body of work establishes new methodological standards for quantifying and minimizing aviation's total climate impact. Scientific Awards: Luis Azcárraga Aeronautical Innovation Award for collaborative research impact Best Paper Award (2022) from a high-impact aerospace journal Dr. Simorgh secures significant research funding through European Commission projects including FlyATM4E (climate-optimized flight planning), ALARM (aviation emissions reduction), and RefMAP (sustainable aviation pathways). His grant portfolio emphasizes practical implementation of climate mitigation strategies, with strong industry-academia collaboration. He mentors junior researchers through project teams and has developed three major open-source Python libraries (CLIMaCCF, ROOST, ROC) that have become community standards for climate impact assessment in aviation research. His current work focuses on scaling climate-optimized trajectories to continental airspace while addressing operational constraints and economic viability. He leads a research group focused on climate-aware air traffic management, developing the ROOST simulation framework for GPU-accelerated trajectory optimization and the CLIMaCCF library for standardized climate metric calculations. His team collaborates with European air navigation service providers and aircraft manufacturers to transition research into operational practice, with current projects emphasizing real-time implementation and regulatory compliance frameworks.

• Systems Engineering
• Automation Engineering
• Intelligent Instrumentation
• +۷ 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).