جست‌وجوی استاد و پژوهشگر

• Differential Geometry
• Integral Geometry
• Riemannian Geometry
• +۳ مورد دیگر

Ana Dorotea Tarrío Tobar is a Professor in the Department of Mathematics at Universidade da Coruña (UDC) in Spain, specializing in Applied Mathematics. She is an active member of the Differential Geometry and Its Applications research group, with a strong publication record spanning over three decades. Her research focuses on Integral Geometry, Riemann Geometry, Contact Detection, and Applications of Geometry in Engineering. Key research areas include Extended Bianchi-Cartan-Vranceanu spaces, Curvature analysis, Geodesics, Contact detection, Quadrics, and graph bases. Her work bridges theoretical geometry with practical engineering applications. Dr. Tarrío Tobar teaches Mathematics I and II for the Degree in Technical Architecture, and Mathematics 1 for the Concurrent program of the Degree in Biology and Chemistry. Her recent publications (2022-2016) show a consistent output in prestigious mathematics journals, with increasing focus on computational geometry and educational applications. Her collaborative work spans multiple institutions across Spain and internationally, with frequent co-authorship with researchers like María J. Souto-Salorio, M. Brozos-Vázquez, and María J. Pereira-Sáez. While she has not directed bachelor's or master's theses since 2013, her research projects have been funded by various Spanish institutions including the Ministry of Culture, Education and University Planning, Xunta de Galicia, and the Ministry of Economy and Competitiveness.

• Autonomous Navigation for Robots
• Deep Learning
• Artificial Intelligence
• +۷ مورد دیگر

Jesús Tordesillas Torres is an Assistant Professor in the Department of Electronics, Automation, and Communications at the School of Engineering, Comillas Pontifical University. He joined the institution in June 2024, bringing extensive experience from postdoctoral research at MIT and ETH Zurich, and prior academic training from MIT and the Polytechnic University of Madrid. Education: PhD in Aeronautics and Astronautics, Massachusetts Institute of Technology (MIT), 2022 MS in Aeronautics and Astronautics, MIT, 2019 MS in Industrial Engineering, Polytechnic University of Madrid, 2019 BS in Industrial Engineering, Polytechnic University of Madrid, 2016 His research focuses on robotics, particularly autonomous navigation, trajectory planning, and optimization under uncertainty. He integrates deep learning and control theory to develop systems capable of safe, fast, and perception-aware navigation in dynamic and unknown environments. His work spans aerial and ground robots, multiagent systems, and challenging terrains, with strong emphasis on real-world deployment and robustness. The recent publications highlight a consistent trend in trajectory optimization, perception-aware planning, and multiagent coordination. His work bridges theoretical advances in optimization and learning with practical robotic applications, especially in safety-critical and communication-constrained scenarios. Scientific Awards: Best Paper Award, IEEE ICRA 2023 1st Place, Urban Circuit, DARPA Subterranean Challenge (2020) 2nd Place, Tunnel Circuit, DARPA Subterranean Challenge (2021) Finalist, Best Paper, IEEE IROS 2019 Jesús Tordesillas Torres has been actively involved in research grants and projects, including the ADS FERRARI WP-2 Project funded by Airbus Defence and Space (2025–2025). He mentors students and collaborates with leading institutions such as MIT, ETH Zurich, and the University of Pennsylvania. He also serves as a reviewer for top-tier journals including IEEE Transactions on Robotics , International Journal of Robotics Research , and IEEE Robotics and Automation Letters , as well as major conferences like ICRA and IROS. He leads and participates in research teams focused on autonomous systems, with affiliations to the Institute for Research in Technology (IIT) at Comillas. His invited talks at ETH Robotics Summer School and University of Pennsylvania reflect his growing influence in the robotics community.

Antoni Jaume-i-Capóمشاهده پروفایل

استاد

• Artificial Intelligence
• Explainable Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Dr. Antoni Jaume-i-Capó is a Full Professor in the Department of Mathematics and Computer Science at the University of the Balearic Islands (UIB) , affiliated with the Computer Graphics and Vision and Artificial Intelligence Group (UGiVIA) and serving as Director of the Artificial Intelligence Applications Laboratory (LAIA@UIB) . His work bridges Artificial Intelligence , Computer Vision , and Medical Imaging with applications in Motor Rehabilitation and Explainable AI (XAI) . Research Interests : Artificial Intelligence, Explainable AI, Computer Vision, Human-based Computation, Intelligent Systems for Motor Rehabilitation, Medical Imaging Processing. Teaching : Courses include Algorithmics and Data Structures , Final Degree Projects , and Practical Placements for Informatics Engineering degrees across multiple campuses. Scientific Contributions span 15 recent publications focusing on XAI fidelity metrics , medical image analysis , and crowdsourced diagnostics . These works integrate machine learning for Sickle Cell Disease classification and kinect-based rehabilitation systems . Scientific Awards : Premio al mejor trabajo JENUI 2010 Students : Supervised over 11 PhD/Master’s students, including Gabriel Moyà-Alcover and Pedro Marrero-Fernández. Projects : Leads EU-funded initiatives like EXPLAINME and EUGAIN , alongside regional efforts such as People4Sicklemia .

Alicia Cantón Pireمشاهده پروفایل

استاد

• Mathematics
• Applied Mathematics
• Geometry
• +۵ مورد دیگر

Alicia Cantón Pire is a Professor at the Department of Mathematics and Computer Science Applied to Civil and Naval Engineering , affiliated with the Higher Technical School of Naval Engineers (ETSIN) at the Polytechnic University of Madrid (UPM) . Her research spans multiple domains within Mathematics, Applied Mathematics, and Computer Science, focusing on geometric modeling, complex analysis, and graph theory. Research Interests : Asymptotic values of meromorphic functions, Gromov hyperbolicity in planar graphs, geometric characteristics of Bézier surfaces, and isoperimetric inequalities. Teaching : Engaged in academic instruction, with access to the Moodle platform for current courses. Professional Affiliations : Member of mathematical societies including the Royal Spanish Mathematical Society (RSME) , Spanish Society of Applied Mathematics (SeMA) , and the American Mathematical Society (AMS) . Her work integrates theoretical mathematics with practical applications in engineering and computer science, reflecting in her collaborative publications and extensive contributions to geometric and analytic problems. Email : alicia.canton@upm.es

Alvar Vinacuaمشاهده پروفایل

دانشیار

• Computer-Aided Geometric Design
• Computer Aided Design
• Computational Geometry Algorithms
• +۳ مورد دیگر

Alvar Vinacua is an Associate Professor at the Polytechnic University of Catalonia , affiliated with the Computer Languages and Systems department. His work focuses on computational geometry and immersive software interfaces. Research areas include Computer-Aided Geometric Design and Computational Geometry Algorithms Specializes in Virtual/Enhanced Reality software and interfaces

• Computational Fluid Dynamics
• Nasal Airway Function
• Anthropology
• +۳ مورد دیگر

Manuel Antonio Burgos Olmos is a Professor specializing in Computational Fluid Dynamics (CFD) applied to nasal airway function and surgical optimization. His interdisciplinary work bridges biomedical engineering, oto-rhino-laryngology, and anthropology, with significant contributions to virtual surgery tools like DigBody®, MeComLand®, and Noseland® for objective airflow analysis and surgical planning. His research focuses on nasal airflow simulation across diverse contexts: human climate adaptation studies in anthropology, veterinary applications for big cats (e.g., lions using Flowgy software), and clinical conditions including empty nose syndrome and nasoseptal perforations. Key interests include 3D modeling of nasal cavities, vorticity analysis, and reducing surgical outcome variability through computational approaches. Analysis of his 46 publications (1998-2025) reveals a consistent trajectory toward integrated computational modeling, with recent work (2016-2025) emphasizing cross-species comparisons (humans/chimpanzees), sexual dimorphism in airways, and clinical-veterinary translational applications. His publications in high-impact journals demonstrate methodological innovation in CFD-based surgical prediction and anthropological morphology assessment.