جستجوی استاد راهنمای دانشگاهی

• Wind Turbines
• Autonomous Learning
• Deep Learning
• +۸ مورد دیگر

Yolanda Vidal Segui is an Associate Professor in the Department of Mathematics at the Universitat Politècnica de Catalunya (UPC), affiliated with the Escola d'Enginyeria de Barcelona Est (EEBE). Her research focuses on wind energy systems, predictive maintenance, and structural health monitoring of wind turbines. She leads projects in the CoDAlab and WinTurCoM research groups, specializing in data-driven models, condition monitoring, and failure prognosis. Her work integrates machine learning, mathematical modeling, and sensor technology to enhance turbine reliability and energy efficiency. Dr. Vidal holds a PhD in Applied Mathematics and has authored over 350 publications. Her contributions include advancements in SCADA data analysis, vibration-based diagnostics, and AI-driven condition monitoring systems. She has received several accolades, including the WindEurope Technology Workshop recognition and the IFIT Distinction in Mechanism and Machine Science. Her research bridges academia and industry, addressing challenges in offshore wind turbine integrity and maintenance strategies. Active in professional service, she serves on conference committees and editorial boards (e.g., Mechanical Systems and Signal Processing, Wind Energy). Her work emphasizes sustainable energy solutions and has been applied in real-world scenarios like the Alpha Ventus wind farm. She also contributes to educational initiatives, developing innovative teaching materials for engineering students.

• Physics
• Chemistry
• Materials Science
• +۵ مورد دیگر

Dr. Paul Pistor is an Associate Professor at the Universidad Pablo de Olavide , affiliated with the Department of Physical, Chemical and Natural Systems and the Center for Nanoscience and Sustainable Technologies (CNATS) . His research focuses on the physics and materials science of solar cells, particularly perovskite and kesterite thin films. Research areas include Photovoltaic materials engineering Thin film stability and degradation Crystallography of photovoltaic compounds Advanced characterization techniques Email: ppis@upo.es

• Quantum Nanoelectronics
• Nanomechanics
• Condensed Matter Physics
• +۳ مورد دیگر

Prof. Adrian Bachtold is a Professor at the Institute of Photonic Sciences (ICFO), leading the Quantum NanoElectronics and NanoMechanics group. His research focuses on quantum phenomena in nanoscale systems, including twisted bilayer graphene, carbon nanotubes, and nanomechanical resonators. He explores quantum transport, mechanical resonators with ultra-long lifetimes, and applications in quantum simulation and quantum bits. Research Interests: Quantum electrical, mechanical, and optical properties of nanodevices Mesoscopic investigation of quantum electron transport Electromechanical resonators for quantum sensing Development of mechanical qubits His work has led to significant advancements, such as nonlinear nanomechanical resonators approaching the quantum ground state and ultra-broadband photodetection using twisted graphene. He has secured funding through projects like MechQSim (EU), BBVA Fundamentos Grant (2024), and grants from the Spanish Ministry of Science and Innovation. Awards: BBVA Fundamentos Grant (2024) Fundació CELLEX Barcelona Grant He actively mentors students and researchers at all levels (Master’s, PhD, Postdoc) and is involved in recruiting talent for projects in quantum electromechanics and matter physics. His group collaborates on initiatives like ICFO's QTWIST program, advancing the frontiers of quantum nanotechnology.

• Structural Health Monitoring
• Wind Energy Systems
• Machine Learning Applications
• +۳ مورد دیگر

David Agis Cherta is an academic affiliated with the Universitat Politècnica de Catalunya (UPC), specifically the Escola Tècnica Superior d'Enginyeria Industrial de Barcelona (ETSEIB) and the Departament d'Estadística i Investigació Operativa . He leads research in the CoDAlab - Control, Dades i Intel·ligència Artificial group and the WinTurCoM - Wind Turbine Condition Monitoring subgroup. His work spans structural health monitoring, wind energy systems, environmental health, and statistical modeling. Agis has published extensively in journals such as Sensors , Environmental Health Perspectives , and Methods in Ecology and Evolution . Education & Research Focus : His doctoral thesis (2019) explored vibration-based structural health monitoring using piezoelectric transducers. Key areas include machine learning applications for fault detection in wind turbines, statistical methodologies for environmental data analysis, and interdisciplinary research at the intersection of engineering and public health. Awards & Projects : Received the EACS Early Career Award in Structural Control & Health Monitoring (2020) . Active in competitive research projects, including EU-funded initiatives on wind turbine condition monitoring and environmental pollution studies. Collaborates internationally, with projects focusing on digital twins, predictive maintenance, and data-driven applications in civil engineering. Public Engagement : His research bridges technical innovation and societal impact, addressing issues like air quality effects of public transport strikes and long-term health impacts of urban pollution. He contributes to open-source tools like the Good R package for count data analysis.

• Computational Fracture Mechanics
• Acoustics and Vibrations Modelling
• Cell Mechanics
• +۳ مورد دیگر

Antonio Rodríguez-Ferran is a Professor at the School of Civil and Environmental Engineering at the Universitat Politècnica de Catalunya (UPC) in Barcelona, Spain. His research focuses on computational fracture mechanics, acoustics and vibration modeling, cell mechanics, and advanced numerical methods in applied sciences. He holds a B.Sc., M.Sc., and Ph.D. in Civil Engineering from UPC, completing his doctorate in 1996. His work emphasizes phase-field modeling for fracture propagation in layered and composite materials, with contributions to the shifted fracture method and adaptive numerical techniques. He also explores vibroacoustic systems, granular materials, and structural acoustics. Notable projects include modeling human towers (Castells) and cellular mechanics in biological systems. Research highlights include advancements in fracture mechanics using phase-field approaches, numerical methods for interface and material mismatch analysis, and interdisciplinary applications in engineering and biology. His work bridges computational methods with real-world industrial applications, such as bulk material characterization and structural noise reduction. Collaborations span academia and industry, with a focus on advancing computational tools for engineering challenges. Current open positions include MSc thesis topics in computational engineering and granular material modeling.

Oriol Guasch Fortunyمشاهده پروفایل

استاد

• Computational Acoustics
• Aeroacoustics
• Graph Theory in Vibroacoustics
• +۳ مورد دیگر

Oriol Guasch Fortuny is Full Professor at the Department of Engineering, La Salle, Ramon Llull University in Barcelona, specializing in computational acoustics and aeroacoustics. He holds a five-year Physics degree from Universitat de Barcelona and a PhD in Computational Mechanics from UPC. His research spans acoustic black holes , graph theory in vibroacoustics, parametric array technology , and numerical voice production . Current projects: GENIOVOX (expressive voice generation), EUNISON (voice simulation) Editorial roles: Subject Editor , Journal of Sound and Vibration Leadership: Heads acoustics research in the GTM group His 15 most recent publications focus on acoustic black hole applications in vibration control, parametric loudspeaker optimization , and chaotic vocal fold modeling . Work combines finite element analysis with theoretical acoustics . Collaborations include: CIMNE (UPC, Barcelona) GIPSA-LAB (Grenoble, France) INSA Lyon (France) Northwestern Polytechnical University (Xi’an, China) KTH Stockholm (Sweden) Patents: NºU-201230809: Horn amplifier for parametric arrays Nº201230043: Omnidirectional ultrasonic sound source

• Automotive Engineering
• Railway Engineering
• Mechanical Engineering
• +۶ مورد دیگر

Vicente Díaz López is a Full Professor in the Department of Mechanical Engineering at Carlos III University of Madrid. He serves as Director of the Duque de Santomaró Institute of Motor Vehicle Safety and Director of the Master's Degree in Railway Engineering. Academic Department: Mechanical Engineering Research Group: Experimental Mechanics, Calculations and Transport Group (MECATRAN) Contact: vdiaz@uc3m.es Research Interests span automotive and railway engineering, focusing on: Intelligent tire systems for grip and friction estimation Vehicular dynamics and stability control Braking efficiency and safety analysis Structural mechanics in transport systems Sensor fusion and neural networks for vehicle parameter estimation Roadworthiness testing methodologies Recent Publications demonstrate expertise in: Brake force estimation techniques Intelligent tire development Vehicle roll stability control Structural failure analysis in transport Low-cost sensor systems for driver monitoring Projects include: Principal investigator of the fBrake software suite (2014–present) for braking efficiency analysis Multiple contracts with technical inspection agencies (ITV) and companies like Bombardier Patent development for driving style evaluation systems

• Mechanical Engineering
• Machine Design
• Robotics
• +۵ مورد دیگر

Pedro Ortiz Morón is a faculty member at the Barcelona East School of Engineering (EEBE), Universitat Politècnica de Catalunya (UPC), where he is affiliated with the Department of Mechanical Engineering. He teaches MACHINE DESIGN and supervises numerous Final Degree Projects, demonstrating active engagement in engineering education and applied research. Research Interests: His work centers on mechanical design, with emphasis on robotics, vehicle dynamics, automation, and educational tools. Projects under his supervision span from robotic prostheses to Formula Student vehicles, indicating a strong focus on practical, hands-on engineering solutions. His interest in Arduino-based systems highlights integration of electronics and mechanics in teaching and prototyping. Publication Trends: The recent articles reflect a consistent focus on mechanical systems design, optimization, and innovation in both industrial and assistive applications. There is a clear emphasis on student-driven projects in automotive, robotics, and educational contexts, often involving prototyping and real-world implementation. Scientific Awards: No awards or honors are mentioned in the provided text. Advising and Grants: Ortiz Morón has supervised at least 20 Final Degree Projects between 2017 and 2024, serving as primary advisor. His students have worked on diverse topics including hydraulic lifts, robotic prostheses, and vehicle dynamics. There is no mention of research grants or funding in the text. Labs and Teams: While no specific lab or research team is named, his involvement in Formula Student and Arduino-based educational tools suggests collaboration with student engineering teams and possibly laboratory development for teaching purposes.

• Mechanical Engineering
• Condition Monitoring
• Railway Systems
• +۳ مورد دیگر

Dr. Cristina Castejón Sisamon is a Full Professor in the Department of Mechanical Engineering at Universidad Carlos III de Madrid (UC3M), affiliated with the MAQLAB (Machines Laboratory) and the Pedro Juan de Lastanosa Institute of Technology Development and Innovation. She also serves as the Assistant Vice-Rector for Entrepreneurship and In-House Research Program. Her research focuses on mechanical systems, condition monitoring of railway components, vibration analysis, robotics, and educational technology. Key areas include railway axle fatigue detection, wavelet transform applications, and predictive maintenance strategies. Her work spans advanced methodologies for fault diagnosis in rotating machinery, railway systems, and agricultural equipment. She has contributed to projects funded by entities like the EU, John Deere, and Alstom, addressing challenges in mechanical engineering and maintenance optimization. She leads or co-leads over 20 research projects, emphasizing innovation in mechanical systems and digital twins. Dr. Castejón is also active in educational initiatives, developing interactive tools for engineering education and robotics design. Her research outputs include 15+ recent articles (2022–2024), with a focus on vibration-based diagnostics, topology optimization, and historical mechanical treatises analysis. She holds patents related to skin biopsy devices and railway axle monitoring. MAQLAB serves as her primary research lab, fostering interdisciplinary collaboration in mechanical engineering and technology development.

• Mechanical Engineering
• Vehicle Safety
• 3D Printing Applications
• +۳ مورد دیگر

Ana Maria Gomez Amador is an Assistant Professor in the Department of Mechanical Engineering at the University Carlos III of Madrid (UC3M). She is affiliated with the Experimental Mechanics, Calculations and Transport Group (MECATRAN) and the Duque de Santomauro Institute of Motor Vehicle Safety. Her research focuses on structural analysis, 3D printing applications, vehicle safety, and educational technology. Her academic work spans mechanical systems, including studies on T-stub connections, soil-structure interaction, and Roman engineering systems. She has contributed to advancements in low-cost mechanical ventilators, automotive braking efficiency, and aerodynamic device design. Her projects include leading studies on roadworthiness testing and developing educational tools for descriptive geometry and engineering design. Dr. Gomez Amador has collaborated on over 30 publications since 2016, with recent work emphasizing additive manufacturing, finite element analysis, and interdisciplinary applications of mechanical engineering. She maintains active roles in both teaching and applied research, addressing modern challenges in transportation safety and sustainable materials science. Her professional activities include patent development (e.g., driving style evaluation systems) and software tools like fBrake-TT for automotive analysis. She has advised on technical reports for organizations like AECA-ITV and Eiffage Energie, contributing to both academic and industrial innovation.

• Mechanical Engineering
• Robotics
• Materials Science
• +۳ مورد دیگر

Cristina Alén Cordero is an Associate Professor at the University of Alcalá, Department of Signal and Communication Theory. She is affiliated with the TM Tecnologías Mecánicas, Eléctricas y Térmicas research group. Her academic career includes a PhD from Universidad Politécnica de Madrid (2010) with a thesis on market inspection reliability modeling. Her research spans mechanical engineering, robotics, safety engineering, and nuclear materials science. Key areas include advanced mechanical design, ITER-related technologies (optical coatings, diagnostics), and safety assessment in machinery. She has also contributed to educational methodologies in engineering and assistive robotics for mobility. Her recent publications highlight work on stair-climbing wheelchair control systems, radiation-resistant optical materials for ITER, and vibration damping technologies for space applications. She has collaborated on international projects such as ITER diagnostics and safety standards for machinery compliance. Her work integrates experimental and theoretical approaches, addressing challenges in mechanical systems, fusion engineering, and human-centric robotics. Despite no listed awards, her contributions reflect impactful research in applied engineering domains.

• Artificial Intelligence
• Game Theory
• Operations Research
• +۵ مورد دیگر

Salvador Castillo Rivera is an Assistant Professor at the Department of Mathematics, Carlos III University of Madrid. His research integrates Game Theory, Artificial Intelligence, and Operations Research to address challenges in healthcare systems, additive manufacturing, and aeronautics. He holds a prominent position in interdisciplinary studies, focusing on optimization frameworks for ICU resource management, helicopter rotor dynamics, and 3D printing efficiency. Research interests span AI-driven healthcare decision-making, game-theoretic models for collaborative manufacturing, and mathematical modeling of mechanical systems. His work bridges theoretical mathematics with practical applications in aeronautics, medicine, and operations management. Key publications include frameworks for ICU cost optimization via game theory, dynamical analysis of helicopter tail rotors, and scheduling algorithms for additive manufacturing. His recent contributions emphasize the intersection of AI and healthcare, with chapters in Artificial Intelligence in Material Science and Advances in Health and Disease . No scientific awards are listed, but his active research collaborations are reflected through co-authored works and conference contributions. Advising and grants sections remain unspecified in the provided data. He manages interdisciplinary teams in applied mathematics and engineering projects, though specific lab affiliations are not detailed.

Jesús Martínez Frutosمشاهده پروفایل

استاد

• Computational Mechanics
• Soft Robotics
• Topology Optimization
• +۵ مورد دیگر

Jesús Martínez Frutos is a Professor specializing in computational mechanics and soft robotics, with a strong focus on integrating machine learning with multiphysics simulations. His research bridges constitutive modeling, topology optimization, and electroactive polymers to advance soft robotic systems and smart material design. His primary research domains include: Computational Mechanics (finite strain electromechanics, hyperelasticity) Physics-Informed Machine Learning (neural networks, Gaussian processes) Topology Optimization (lattice structures, band gap engineering) Soft Robotics (shape-morphing actuators, dielectric elastomers) Multiphysics Simulation (thermo-electro-mechanics, flexoelectricity) He pioneers methods for embedding physical constraints into data-driven models, particularly for nonlinear material behavior under large deformations. Analysis of his 15 most recent publications (2022-2025) reveals three dominant trends: (1) Physics-augmented neural networks for constitutive modeling that enforce thermodynamic consistency; (2) Multi-material topology optimization for programmable electroactive structures; (3) Gradient-enhanced machine learning frameworks that capture material uncertainties. His work consistently targets real-world applications in soft robotics and energy-efficient actuation systems. Professor Martínez Frutos actively supervises graduate theses as indicated by his profile's dedicated section, though specific student names aren't listed. His research is supported by institutional funding referenced in the profile's funding section, with emphasis on computational methods for next-generation soft robotic systems. Current projects focus on 3D-printed dielectric elastomer actuators and probability-based optimization for safety-critical applications.

Javier Ruiz Rusمشاهده پروفایل

استادیار

• Multiphase Flows
• Fluid Mechanics
• Bubble Dynamics
• +۲ مورد دیگر

Javier Ruiz Rus serves as Assistant Professor in the Department of Mechanical and Mining Engineering at the University of Jaén, Spain. His experimental research centers on multiphase flow phenomena with applications in industrial, environmental, and biomedical processes. His educational background includes: PhD in Fluid Mechanics (University of Jaén, 2019) with Outstanding cum laude and International Mention Industrial Engineering degree specializing in Energy Techniques and Industrial Automation & Robotics Industrial Technical Engineering in Industrial Electronics Ruiz Rus investigates bubble dynamics through controlled generation, coalescence, and ascent in confined environments. His work combines experimental techniques like 3D Particle Tracking Velocimetry with analytical modeling to study non-Newtonian fluids, microalgae cultures, and aeration processes. Key contributions include patented bubble formation methodologies and insights into flow-induced vibrations. His publication record reveals consistent advancement in multiphase flow understanding, particularly in bubble swarm interactions and co-axial jet dynamics. Recent work demonstrates increasing sophistication in experimental methods applied to complex fluid systems. Scientific recognition includes: Margarita Salas grant for bubble-vorticity research (2022) He secured ANR funding for French collaborative projects and serves as reviewer for leading journals including Journal of Fluid Mechanics. His industrial background informs practical applications of fundamental research in automation and sensor networks. Ruiz Rus operates within the Fluid Mechanics and Fluid-Structure Interaction Group of Jaén, utilizing advanced facilities for tomographic reconstruction and velocimetry. His current work extends to 3D bubble-vorticity interactions through ongoing collaborations with IMFT and Spanish universities.

• Communication Technologies
• Electronics
• Internet of Things (IoT)
• +۵ مورد دیگر

Jon Legarda Macon serves as a Lecturer and researcher at the University of Deusto's Faculty of Engineering within the Department of Computing, Electronics and Communication Technologies. Holding a PhD in Engineering from the University of Navarra (2004), he leads research initiatives focused on industrial communication technologies and sustainable systems. His research spans communication technologies, electronics, and IoT systems with specialization in energy harvesting, data spaces, and environmental impact reduction. Current work emphasizes data spaces applied to improving environmental and social impacts across industrial, energy, and governance environments, with significant contributions to textile antennas, RF energy harvesting, and sustainable supply chain solutions. His publication portfolio shows strong emphasis on wireless communication systems (35%), energy harvesting technologies (25%), and sustainable applications (20%), with recent work pivoting toward blockchain applications in energy markets and computational intelligence for agrifood systems. Dr. Legarda has supervised 10 doctoral theses across topics including textile rectennas, energy harvesting optimization, and wireless sensor networks. His research is supported by numerous competitive grants including EU Horizon projects (PARITY, FOODRUS), Spanish national programs, and regional Basque initiatives totaling over €15 million in funding since 2012. He actively contributes to the Deusto Sustainable Research Group and leads multiple industrial collaborations through projects like URETIK (energy-efficient greenhouse platforms) and SIONIA (real-time bird identification systems), focusing on practical implementations of sustainable IoT solutions.