جستجوی استاد راهنمای دانشگاهی

• Nonlinear Functional Analysis
• Calculus of Variations
• Partial Differential Equations
• +۵ مورد دیگر

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 Rodríguezمشاهده پروفایل

استاد

• Computer Vision
• Mobile Robotics
• Pattern Recognition
• +۶ مورد دیگر

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.

Noel Ruault Martinezمشاهده پروفایل

دانشیار

• Cybersecurity
• Software Engineering
• Golang
• +۴ مورد دیگر

Noël Ruault Martinez is an Associate Professor at the University of the Balearic Islands (UIB), affiliated with the College of Engineering. He teaches courses in Cybersecurity and Project Management for Telematics Engineering degrees, including dual programs with Mathematics. His technical expertise spans backend development, distributed systems, and algorithm optimization across global institutions. Current Roles : Professor of Cybersecurity (2023–present) at UIB; Teacher of Computer Science (2022–present) at IES Politecnic. Research Interests : Focus on secure software architecture, Go programming language applications, and performance optimization in distributed environments. Projects include PromQL benchmarking tools, callback services with Zipkin tracing, and mathematical/algorithmic challenges like the Flea Circus problem. Technical Leadership : Demonstrates proficiency in designing scalable systems with technologies like Kubernetes, Docker, AWS, and PostgreSQL, while emphasizing rigorous testing and code quality.

José Alberto Benítez Andradesمشاهده پروفایل

دانشیار

• Biomedical Analytics
• Machine Learning
• Social Network Analysis
• +۴ مورد دیگر

José Alberto Benítez Andrades is an Associate Professor at the University of León's School of Industrial, Computer and Aerospace Engineering, affiliated with the Department of Electrical, Systems and Automation Engineering. He holds leadership roles as Deputy Director of the School and coordinates multiple academic programs including the 3rd year of Computer Engineering and Erasmus mobility initiatives. His research focuses on: Biomedical analytics using semantic technologies and machine learning Social network analysis in health contexts AI applications for clinical diagnostics and predictive modeling Robotics and sensor data processing Recent publications demonstrate strong interdisciplinary work combining computer science with healthcare, particularly in: Medical NLP for psychiatric and neurological disorders Robust machine learning models for surgical outcome prediction Multi-sensor fusion for autonomous systems Public health informatics through systematic reviews Awards include Outstanding Cum Laude for his 2017 doctoral thesis on semantic technologies in health-focused social network analysis. He leads the ALBA research group and previously contributed to SALBIS.

Laura Fernández Roblesمشاهده پروفایل

استاد

• Computer Vision
• Intelligent Systems
• Machine Learning
• +۴ مورد دیگر

Laura Fernández Robles is a Professor at the Department of Mechanical, Informatics and Aerospace Engineering within the University of León, Spain. She leads research in computer vision, intelligent systems, and machine learning applications in engineering projects. Education: PhD in Engineering (2016), Universidad de León Thesis: "Técnicas de reconocimiento de objetos en aplicaciones reales" Supervised by Dr. Manuel Castejón Limas, Dr. Nicolai Petkov, and Dr. Enrique Alegre Gutiérrez Research Focus: Her work bridges computer vision, biometric identification, and engineering optimization, with recent emphasis on explainable AI, smishing detection, and sustainability integration in engineering projects. Publication Trends: Over the last decade, her research has spanned object recognition systems, audio embeddings for speech tasks, cybersecurity frameworks, and interdisciplinary applications in agriculture and education. Her methodologies often combine deep learning, feature engineering, and robust pattern analysis.

• Automatic Control
• Fault Detection and Diagnosis
• Leak Localization in Water Distribution Networks
• +۷ مورد دیگر

Joaquim Blesa Izquierdo is an Associate Professor in the Department of Automatic Control at the Universitat Politècnica de Catalunya (UPC), affiliated with the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of UPC and CSIC. His research focuses on fault detection, diagnosis, and prognosis in complex systems, particularly water distribution networks and smart grids. His research interests span Automatic Control , Fault Detection and Diagnosis , Leak Localization , Data-Driven Modeling , Deep Learning , and LPV Systems . He applies advanced machine learning and structural analysis techniques to monitor and control critical infrastructure systems, especially water networks. His work bridges model-based and data-driven approaches for robust system supervision. The recent publications (2022–2024) reflect a strong trend in integrating deep learning (e.g., LSTM, ANFIS) with structural analysis and LPV modeling for fault detection and leak localization in water systems. There is a clear emphasis on data-driven residual generation , sensor placement optimization , and topological analysis to enhance system reliability and efficiency. Scientific Contributions: Active contributor to IFAC conferences and journals like Annual Reviews in Control. Principal investigator in national projects such as MASHED on energy systems and hybrid storage. He supervises PhD students, including Leonardo Gómez Coronel , whose thesis focuses on leak diagnosis using deep learning. While no grants are detailed beyond project titles, his involvement in national and international projects indicates active grant funding. He collaborates closely with researchers like V. Puig, G. Cembrano, and E. Duviella. He is part of the Automatic Control group at IRI-UPC , which focuses on fault diagnosis, supervision, and control of large-scale systems, particularly in water and energy domains. The team emphasizes both theoretical advances and real-world applications in infrastructure systems.

Joan Vallvé Navarroمشاهده پروفایل

پژوهشگر

• Robotics
• Simultaneous Localization and Mapping (SLAM)
• Mobile Robot Exploration
• +۶ مورد دیگر

Joan Vallvé Navarro is a post-doctoral researcher at the Institut de Robòtica i Informàtica Industrial (IRI), a joint center of CSIC and Universitat Politècnica de Catalunya (UPC). He is part of the Mobile Robotics group, where his work focuses on state estimation, Simultaneous Localization and Mapping (SLAM), and autonomous navigation systems. His research is deeply technical, centered on algorithm development for mobile robots, particularly using factor graph optimization frameworks. His research interests lie at the intersection of robotics, computer vision, and mathematical optimization. Key areas include SLAM, visual and inertial odometry, sensor fusion, and efficient graph-based estimation. He is particularly known for his contributions to sparsification techniques in pose-graph SLAM, enabling faster and more scalable robotic mapping. His work often appears in top robotics conferences such as IEEE/RSJ IROS and journals like IEEE Robotics and Automation Letters. The trend in his recent publications shows a strong focus on improving computational efficiency in SLAM systems through factor graph sparsification, preintegration of IMU data, and modular software design. He also contributes to autonomous delivery robots and intelligent vehicle systems, indicating applied research directions with real-world deployment goals. Scientific Awards: No scientific awards or honors were mentioned in the provided text. Advising and Grants: While no formal students or advisees are listed, Vallvé has co-authored multiple publications with researchers and students at IRI, suggesting active collaboration and mentorship. He has contributed to major research projects in mobile robotics, likely supported by institutional or national grants, though specific funding sources are not detailed in the text. Labs and Teams: He is a core developer of the WOLF (modular estimation framework) and the yaml-schema-cpp library, both developed at IRI. These tools support robust, maintainable software in robotics research, particularly in configuration validation and state estimation. His work is embedded within a collaborative robotics research environment focused on autonomy and intelligent systems.

• Complex Photonics
• Nonlinear Dynamics
• Optical Communications
• +۴ مورد دیگر

Dr. Apostolos Argyris is an Associate Professor at the Department of Physics, University of the Balearic Islands (UIB), and a member of the Institute for Cross-Disciplinary Physics and Complex Systems (IFISC), a joint UIB-CSIC institute. He holds the Spanish I3 certification with three research merits (sexenios), four teaching merits (quinquenios), and seven trienios of academic experience. His academic background includes: B.Sc. in Physics from Aristotle University of Thessaloniki (1999) M.Sc. in Physics (Microelectronics & Optoelectronics) from University of Crete (2001) Ph.D. in Informatics & Telecommunications from National and Kapodistrian University of Athens (2006) His research focuses on complex photonic systems and nonlinear dynamics, with specific interests in coupled laser networks, chaotic oscillators, neuromorphic information processing, unconventional optical communications, photonic computing, optical chaos applications, and physical random number generation. His work combines theoretical models with experimental photonics to develop next-generation computing and communication technologies. Publication analysis reveals a dominant focus on photonic neuromorphic computing, optical reservoir systems, high-speed fiber communications, and interdisciplinary physics frameworks. Recent works demonstrate increasing emphasis on hardware implementations of machine learning concepts using photonic substrates and silicon devices. Awards and recognitions include: TR35 Young Innovators Award 2006 from MIT Technology Review ERICSSON Award of Excellence in Telecommunications (2006) He leads research projects including: INFOLANET (National Project 2023-2026): Information processing with coupled laser networks POST-DIGITAL Plus (EU Commission 2025-2029): Post-digital computing training network As principal investigator of the consolidated research group 'Fotónica Compleja y Sistemas Neuroinspirados' (FoCo-SiNeu), he directs laboratory activities in neuromorphic photonics and complex systems. He currently supervises doctoral candidates in the Physics PhD program and teaches undergraduate/graduate courses including Medical Physics, Complex Photonics, and General Physics Laboratory.

• Computer Vision
• Robotics
• Image Processing
• +۳ مورد دیگر

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.

• Computer Graphics
• 3D Modeling
• Computer Animation
• +۷ مورد دیگر

Marie-Paule Cani is a Professor of Computer Science at École Polytechnique (Institut Polytechnique de Paris), where she serves as Dean of the Master of Science and Technology program and leads the STREAM research team at LIX Laboratory (CNRS/IP Paris). Her research bridges computer graphics, HCI, and AI, focusing on expressive 3D modeling, animation, and virtual environments. Education: 1987: M.Sc. in Computer Science, École Normale Supérieure & University Paris XI 1990: Ph.D. in Computer Graphics, University Paris XI 1995: Habilitation in Computer Science, Institut National Polytechnique de Grenoble Research Interests: She pioneers user-centered tools for 3D content creation, combining gesture-based interfaces (sketching, sculpting) with knowledge-enhanced procedural models. Key areas include implicit surfaces, physical simulation, AI-driven animation, and accessible tools for non-experts. Her work enables intuitive design of complex shapes, terrains, and dynamic scenes. Publication Trends: Recent work (2023–2025) emphasizes AI-integrated graphics, including controllable natural phenomena (volcanoes, erosion), sketch-based bio-visualization, reinforcement learning for animation, and real-time character control. Cross-disciplinary applications span geology, biology, and cinematography. Awards & Honors: ACM Steven A. Coons Award (2023) French Academy of Sciences (2020) ACM SIGGRAPH Academy (2019) ERC Advanced Grant EXPRESSIVE (2012–2017) CNRS Silver Medal (2012) Leadership & Grants: She founded research teams (STREAM, Imagine, Evasion) and secured major funding: ERC Advanced Grant, Google-École Polytechnique AI Chair (2018–2021), Horizon 2020 project CLIPE (2020–2024), and Hi!Paris Creative AI Fellowship (2021–2024). She mentors researchers in geometric modeling, animation, and AI. Labs & Teams: Directs the Modeling, Simulation & Learning pole at LIX (2019–2023). Founded STREAM (Structure Representation for Animation/Modeling) and Imagine (Inria/Grenoble teams), advancing real-time graphics and procedural content.

Luca Castelli Aleardiمشاهده پروفایل

استادیار

• Theoretical Computer Science
• Discrete Mathematics
• Computational Geometry
• +۸ مورد دیگر

Luca Castelli Aleardi is an Assistant Professor at the Laboratoire d'Informatique (LIX) of École Polytechnique, France, since September 2008. His research focuses on theoretical computer science, computational geometry, and discrete mathematics, particularly on Schnyder woods , graph drawing , and compact data structures for planar and surface-embedded graphs. PhD in Computer Science from École Polytechnique (2006) DEA in Algorithmique from Université Paris 6 (2003) Laurea in Applied Mathematics from University of Milan (2002) Erasmus exchange at Université de Versailles-St. Quentin (1999) His work spans graph encoding , mesh compression , and higher genus triangulations , with applications to data visualization, geometric algorithms, and network analysis. Recent publications in SoCG and GD emphasize practical implementations of theoretical constructs, such as toroidal Schnyder woods and SCARST data structures . He has supervised 15+ research internships (2008–2024) on topics including planar graph drawing and dynamic Laplacian systems . Software tools developed by his team include Jcg (Java library for computational geometry) and SCARST implementations.

Grégoire Lecerfمشاهده پروفایل

پژوهشگر

• Computer Algebra
• Polynomial Factorization
• Symbolic Computation
• +۷ مورد دیگر

Grégoire Lecerf is a full-time researcher at CNRS (rank: Directeur de recherche ) affiliated with the Laboratoire d'Informatique de l'École Polytechnique (LIX) under the Institut Polytechnique de Paris . He leads the Algebraic modeling and symbolic computation team and serves as deputy director of LIX until December 2025. His research spans computer algebra , focusing on polynomial factorization , symbolic computation , and algorithmic complexity . He has developed software libraries like Factorix and Geomsolvex and contributed to Mathemagix . Recent publications address multivariate polynomial interpolation , Riemann–Roch spaces , and contact factorization , with application to algebraic geometry and finite fields . Trends include accelerating multi-point evaluations and optimizing resultant computations . Scientific awards include Best Paper Award 2020 (Journal of Complexity) Best Paper Award 2016 (Journal of Complexity) ISSAC 2014 Distinguished Software Presentation Award He served as editorial member of Applicable Algebra in Engineering, Communication and Computing (since 2015) and Journal of Complexity (since 2020). Past roles include leading the French computer algebra group (2016–2021) and organizing JNCF conferences (2018–2021).

• Multi-Label Learning
• Probabilistic Inference
• Explainable AI
• +۷ مورد دیگر

Jesse Read is a Professor at École Polytechnique (Institut Polytechnique de Paris) affiliated with the ORAILIX team within the Data Analytics and Machine Learning pôle of the Computer Science Laboratory (LIX). His work focuses on multi-label and probabilistic inference , explainable and robust methods , and learning from data streams and sequential data with applications in medicine, energy, and transportation. He obtained his PhD from the University of Waikato (2010) and held postdoc positions at INFRES Télécom Paris, Aalto University, and Universidad Carlos III de Madrid before becoming Assistant Professor (2017) and Professor (2019) at École Polytechnique. Research Trends His recent publications emphasize multi-label learning (Classifier Chains, Regressor Chains) and data stream analysis with applications in degradation modeling and medical diagnostics. Key methodological contributions include probabilistic inference in chained models, scalable ensemble learning , and Monte Carlo optimization for sequential tasks. Application domains span healthcare (ECG analysis, insomnia detection), energy systems (wind turbine control), and transportation (route prediction). Scientific Awards Test of Time Award at ECML-PKDD 2019 for foundational work on Classifier Chains Habilitation à Diriger des Recherches (HDR) in Computer Science (2017) Advising & Grants Read has supervised PhD theses from Ekaterina Antonenko (Multi-Target Learning) and Olivier Pallanca (Paradoxical Insomnia Analysis). He secured an ANR grant for Dynamic Graph Signal Processing with Dr. Johannes Lutzeyer and Dr. Luca Martino.

• 3D Modeling
• Real-Time Animation
• Computer Graphics
• +۴ مورد دیگر

Damien Rohmer is a Professor of Computer Science at École polytechnique , Institut Polytechnique de Paris. He leads the VISTA research team at LIX (CNRS UMR 7161) and serves as Deputy Director of LIX since 2024. Current PhD supervisions with ANR/CIFRE funding Open-source tool development for computer graphics education Editorial roles in SCA, MIG, SIGGRAPH conferences His research spans 3D modeling , real-time animation , and user-interactive simulation , with applications in entertainment, medical sciences, and design. Key sub-areas include: Character motion retargeting Multi-scale natural phenomenon simulation Field-based implicit modeling Wearable technology visualization Gesture-controlled animation systems Recent publications in SIGGRAPH , Eurographics , and SCA earned multiple Best Paper/Poster awards in 2024-2025. He co-develops the CGP library for educational 3D programming and maintains community resources for French computer graphics institutions.

• Algorithmic Arithmetic Geometry
• Number Theory
• Asymmetric Cryptography
• +۴ مورد دیگر

Benjamin Smith is a computational number theorist and algebraic curve specialist affiliated with INRIA and École polytechnique's Computer Science Department. He contributes to post-quantum cryptography through projects like Wave (code-based signatures), CTIDH (isogeny-based key exchange), and Velusqrt (faster isogeny algorithms). He also developed microcontroller cryptographic libraries μKummer and qDSA . His research focuses on: Algorithmic arithmetic geometry Number theory in cryptography Efficient implementations of pre- and post-quantum cryptosystems Explicit isogeny constructions for higher-genus curves He leads Inria's participation in the HYPERFORM consortium and co-founded the diamond-access journal Communications in Cryptography . His work bridges theoretical mathematics and practical cryptographic engineering, with a particular emphasis on real-world implementation challenges.