جستجوی استاد راهنمای دانشگاهی

Harindra J. Fernando is a Professor at Arizona State University (ASU), where he has held roles from Assistant Professor (1984–1987) to his current position since 1992. He is also the Wayne and Diane Murdy Endowed Professor of Engineering and Geosciences at the University of Notre Dame (since 2010) and an Emeritus Professor at ASU. His research focuses on geophysical turbulence, urban environmental dynamics, and fluid mechanics in complex systems. Education: B.S. in Mechanical Engineering (UNESCO Gold Medal recipient, 1979) M.A. and Ph.D. in Fluid Mechanics (Johns Hopkins University, 1982–1983) Postdoctoral training at California Institute of Technology (1983–1984) Research Interests: Urban air pollution, double diffusive phenomena, internal waves, and climate change mitigation. Current projects include 10 active studies on topics like turbulence measurements and nuclear power-related environmental issues. Awards and Honors: UNESCO Gold Medal for Best Engineering Student (1979) Gilman Fellow (Johns Hopkins University, 1980) Wayne and Diane Murdy Endowed Professorship (2010) Labs and Affiliations: Director (1994–2009) of ASU's Center for Environmental Fluid Dynamics. Currently leads the Environmental Fluid Dynamics Group at Notre Dame. Active in interdisciplinary projects linking urban systems, climate science, and oceanography.

• Geophysical turbulence
• Multi-phase flows
• Double diffusive phenomena
• +۴ مورد دیگر

Aurelio F. Bariviera is an Associate Professor of Economics and Financial Mathematics at Universitat Rovira i Virgili, Spain, and a Visiting Professor at Universidad Nacional de La Plata, Argentina. He holds a PhD from Universitat Rovira i Virgili, following postgraduate studies at Università degli Studi di Padova and an undergraduate degree from Universidad Nacional de La Plata. His research focuses on quantitative finance, information theory, econophysics, and financial econometrics. Notably, two of his papers (2017) in Economics Letters and Physica A were recognized as Highly Cited Papers in Web of Science. Education: Bachelor’s Degree: Universidad Nacional de La Plata (Argentina) Postgraduate Diploma: Università degli Studi di Padova (Italy) PhD: Universitat Rovira i Virgili (Spain) Research Interests: Quantitative Finance Information Theory and Entropy Applications Econophysics and Financial Networks Cryptocurrency Market Dynamics Machine Learning in Finance Policy Uncertainty Analysis Recent Article Trends: Focus on cryptocurrency interconnections, market shocks, and regulatory frameworks Analysis of commodity and policy uncertainty impacts using wavelet and copula techniques Applications of clustering and machine learning in financial forecasting Awards: Highly Cited Paper in Web of Science (2017): Economics Letters Highly Cited Paper in Web of Science (2017): Physica A Advising & Grants: Consortium on Cloud Computing, Big Data & Emerging Topics Research projects on cryptocurrency regulation, trajectory clustering, and renewable energy forecasting Labs/Teams: Active in interdisciplinary teams applying data science to finance, transportation systems, and astronomy digitization.

• Quantitative Finance
• Information Theory
• Econophysics
• +۳ مورد دیگر

Matteo Giacomini is an Associate Professor of Computational Engineering at Universitat Politècnica de Catalunya (UPC), affiliated with the Laboratori de Càlcul Numèric (LaCàN). He is also an affiliated researcher at CIMNE (Severo Ochoa Excellence Centre) and affiliated faculty at IMTech (Institute of Mathematics of UPC-BarcelonaTech). His research focuses on numerical methods for PDEs, including high-order and low-order methods, error estimation, and reduced-order modeling. Applications span computational fluid dynamics, solid mechanics, image segmentation, and industrial sustainability. Education : PhD in Applied Mathematics, École Polytechnique (2016) MSc & BSc in Mathematical Engineering, Politecnico di Milano (2013 & 2010) Research Interests : High-order methods: finite element, discontinuous Galerkin Error & adaptivity: a posteriori estimates, mesh adaptation Dimensionality reduction: reduced order models, scientific ML PDE-constrained optimization: topology/shape optimization Software development: open-source CSE tools Recent Work Trends : Recent articles emphasize multi-fidelity surrogate modeling, domain decomposition for parametric PDEs, and robust finite volume methods for incompressible/compressible flows. He also contributes to HDG method implementations (e.g., HDGlab) and industrial applications of CFD. Labs & Affiliations : LaCàN - UPC CIMNE - Innovative Algorithms & Credible Data-Driven Models groups IMTech - Mathematical Modelling research line

• Computational Engineering
• Numerical Methods for PDEs
• High-order Methods
• +۶ مورد دیگر

Jose Manuel Dominguez Alonso is a researcher at the University of Vigo , affiliated with the Faculty of Sciences and the Marine Research Center . His work focuses on Earth Physics and Smoothed Particle Hydrodynamics (SPH) applications in marine and renewable energy systems. He is part of the FA9 EphysLab research group at the Ourense campus. Education: PhD in Applied Physics from the University of Vigo (2014) under advisors Dr. Moncho Gómez Gesteira and Dr. Alejandro Jacobo Cabrera Crespo. His research explores fluid dynamics , off-shore wind turbines , wave energy converters , and fluid-structure interaction . He has developed DualSPHPhysics for high-performance computing in marine environments. His recent articles (2024-2025) emphasize teaching numerical modeling to students, 3D hydrodynamic analysis , and coupled simulation techniques . His work bridges computational methods with real-world marine engineering challenges like coastal protection and renewable energy optimization.

• Earth Physics
• Computational Fluid Dynamics
• Marine Engineering
• +۴ مورد دیگر

Stefano Discetti is a Full Professor in the Department of Aerospace Engineering at Universidad Carlos III de Madrid, leading the Aerospace Engineering Research Group. His work bridges experimental fluid dynamics, machine learning, and flow control. Key research themes include turbulence characterization, heat transfer enhancement, and advanced measurement techniques like PIV/PTV. He has developed data-driven methods for flow estimation, sensor placement optimization, and physics-informed neural networks. Research Trends from his publications show a focus on: Machine learning for turbulent flow reconstruction (GANs, CNNs, KNN) Non-intrusive sensing from wall measurements Manifold learning and reduced-order modeling Heat transfer control via plasma actuators and passive structures Time-resolved diagnostics using hybrid experimental/numerical approaches Projects include principal roles in EU and national grants like NEXTFLOW (2021-2026) and EXCALIBUR (2023-2026), with industry collaborations at Airbus and TU Delft.

• Aerodynamics
• Turbulent Flow Analysis
• Particle Image Velocimetry (PIV)
• +۹ مورد دیگر

Vanesa Guerrero Lozano is an Associate Professor in the Department of Statistics at Universidad Carlos III de Madrid, affiliated with the Flores de Lemus Institute and the UC3M-Santander Big Data Institute. Her work bridges mathematical optimization, statistical modeling, and data science, with applications across disciplines including biomedicine, fluid mechanics, and sustainable development. Her research focuses on developing advanced statistical methodologies using mathematical optimization. Key interests include shape-constrained regression, P-splines smoothing, sparse modeling, clustering of categorical data, and interpretable machine learning. She applies these techniques to complex datasets in turbulence modeling, biological age imputation, and pandemic forecasting. The recent publications reveal a strong trend in integrating optimization techniques with statistical learning, particularly in nonparametric and semiparametric models. There is a consistent emphasis on interpretability, robustness, and scalability, especially for high-dimensional and dynamic datasets. Applications span from fluid dynamics to public health, demonstrating interdisciplinary impact. Scientific Awards and Recognition: Ayuda adicional within the Juan de la Cierva Incorporación Program (2020), awarded by the State Research Agency (AEI) Research Leadership and Advising: She has served as principal investigator on multiple competitive research projects funded by national and regional agencies, including the State Research Agency (AEI), the Jacques Hadamard Mathematical Foundation, and the Community of Madrid. Her projects cover topics such as constrained additive models, machine learning for sustainable fishing, turbulence control, and ADHD diagnosis using data science. She has supervised at least one doctoral thesis on constrained smoothing models, indicating active mentorship in methodological statistics and optimization. Laboratories and Research Groups: She is a member of the Energy Analytics research group and conducts her work within the UC3M-Santander Big Data Institute, which supports interdisciplinary data science research. Her affiliation with the Flores de Lemus Institute further underscores her engagement with advanced statistical and computational methodologies.

• Mathematical Optimization
• Statistical Modeling
• Machine Learning
• +۱۳ مورد دیگر

Maria Teresa Serra Putellas is a Full Professor at the Department of Physics within the School of Engineering at the University of Girona. Her research focuses on coastal and aquatic systems, with emphasis on microplastic transport dynamics, sediment transport mechanisms, and nature-based solutions for wastewater treatment. University of Girona School of Engineering Department of Physics Full Professor Her research interests include: Microplastic transport in coastal zones and wetlands Hydrodynamic interactions with aquatic vegetation Climate change impacts on aquatic systems Ecotoxicology of emerging contaminants Nature-Based Solutions (NbS) for water treatment Recent publications analyze microplastic-sediment interactions, turbulence effects on pollutant transport, and optimization of Daphnia-based filtration systems. She leads the PlastikHUM project studying microplastic transport in wetlands and participates in EU initiatives like PRIORITY, INNOQUA, and BIODAPH2O. Contact: teresa.serra@udg.edu

• Microplastic transport in coastal zones
• Sediment transport dynamics
• Aquatic vegetation hydrodynamics
• +۴ مورد دیگر

Miguel Escobedo Martínez is a Professor of Mathematical Analysis in the Department of Mathematics at the Faculty of Science and Technology, University of the Basque Country. He also serves as an External Scientific Member at the Basque Center of Applied Mathematics (BCAM). Research Interests Professor Escobedo specializes in Nonlinear Partial Differential Equations , with particular focus on Kinetic Equations and Aggregation and Fragmentation Models . His research explores the mathematical foundations of physical phenomena, particularly in quantum systems and particle dynamics. His work often involves rigorous analysis of existence, uniqueness, and asymptotic behavior of solutions to complex nonlinear systems. Research Trends Professor Escobedo's publications demonstrate a consistent focus on nonlinear PDEs with applications to physical systems, particularly quantum kinetic equations and coagulation-fragmentation models. His work spans from fundamental mathematical analysis to applications in quantum physics and statistical mechanics. A significant portion of his research centers on the mathematical theory of Bose-Einstein condensation and related quantum phenomena, as well as the analysis of coagulation equations that model particle aggregation processes. Projects and Affiliations Principal Investigator for research project "Partial Differential Equations: Analysis, Control, Numerics and Applications" (MTM2008-03541) External Scientific Member at Basque Center of Applied Mathematics (BCAM) Conference Participation Professor Escobedo has presented his work at various international conferences, including SIAM conferences on Nonlinear Waves and Material Sciences, where he has discussed topics such as singular solutions for the Uehling-Uhlenbeck equation and self-similar solutions for coagulation and fragmentation equations.

• Nonlinear Partial Differential Equations
• Kinetic Equations
• Aggregation and Fragmentation Models

Diana Grisolía Santos holds the position of Researcher at the University of Las Palmas de Gran Canaria (ULPGC). She completed her Marine Sciences degree at ULPGC in 1989 and earned a Ph.D. in Physics in 1999, with part of her doctoral work conducted at the University of Rhode Island (URI) under Dr. Malcolm Spaulding's guidance in oil spill modeling. Her research focuses on oceanographic modeling, including regional models, oil spill simulations, Lagrangian models, and air-sea interaction with mesoscale oceanic structures. Key projects involve studying mid-ocean anticyclonic eddies' Lagrangian evolution and eddy-wind interactions. She has contributed to numerous regional, national, and European research initiatives. Publications highlight expertise in ocean-atmosphere coupling, eddy dynamics, sea-breeze fronts, and numerical simulations. Notable works include studies on the Cape Verde Frontal Zone, South Atlantic zonal flows, and the North Icelandic Irminger Current. Her work integrates observational and computational approaches to understand marine and atmospheric processes. Her research has addressed diverse topics such as tropical storm impacts on Canary Islands meteorology, oil spill dispersion modeling, and mesoscale convective systems. Diana has collaborated internationally, with a focus on regional oceanography and climatic dynamics in the Canary Archipelago and surrounding Atlantic regions.

• Modelling (Regional models, Oil spill models, Lagrangian models)
• Air-sea interaction
• Oceanography
• +۴ مورد دیگر

Francisco de Asis Guil Asensio is a Professor at the Faculty of Informatics , Universidad de Murcia , with a research focus spanning partial differential equations , integrable systems , and quantum theory . He holds a PhD in Mathematics (1996) from Universidad de Murcia, with a thesis on automorphism groups and Picard groups of finite-dimensional algebras. Education : PhD in Mathematics, Universidad de Murcia (1996) Thesis: "El grupo de automorfismos y el grupo de Picard de un álgebra finitodimensional" Research Interests : Specializing in soliton equations , nonlinear wave phenomena , and geometric methods in physics , his work bridges mathematical physics and applied mathematics . Key contributions include studies on Dirac-KP correspondence , twistor solutions , and quantum lattice states under magnetic fields. Publications (2007–1980): 15 major works on integrable hierarchies, geometric PDE reductions, and quantum systems. Articles explore topics like dromion deformations , self-dual Yang-Mills , and Heisenberg subalgebras in AKNS systems. Collaborations : Frequent co-authorship with Manuel Mañas on integrable systems (21 joint papers) and Luis Martínez Alonso on Whitham hierarchies. His work is cited in 57 documents across 28 serials. Technical Contributions : Developed spectral methods for Davey-Stewartson equations, applied Grassmannian geometry to soliton hierarchies, and formulated Banach-Lie group frameworks for infinite-dimensional integrability.

• Partial Differential Equations
• Dynamical Systems and Ergodic Theory
• Integrable Systems
• +۴ مورد دیگر

Camilo Prado Román is a Professor in the Department of Business Economics at King Juan Carlos University, specializing in Financial Economics and Accounting. His academic work spans organizational behavior, financial markets, and economic policy impacts with significant contributions across multiple research domains. His primary research interests include: Financial Economics and Investment Strategies Behavioral Finance and Consumer Psychology Economic Policy Uncertainty and Market Reactions Organizational Legitimacy and Corporate Social Responsibility Artificial Intelligence Applications in Finance Bitcoin and Cryptocurrency Market Analysis Historical Economic Analysis Professor Prado Román's publication trajectory shows a clear evolution from traditional financial analysis toward contemporary topics involving digital currencies, AI applications, and behavioral economics. His recent work (2022-2025) demonstrates increased focus on technology-finance intersections, with numerous publications on Bitcoin strategies, AI-driven financial prediction, and consumer emotional regulation in purchasing behavior. With 16 doctoral students mentored, he has guided research across diverse topics including digital platform impacts on universities, historical business evolution, banking risk management, and emotional economics. His collaborative network includes prominent researchers such as Raúl Gómez Martínez, Alicia Blanco González, and Francisco Díez Martín. Professor Prado Román has authored four books including the 2018 'Manual de inversiones alternativas' and 'Fundamentos de economía de la empresa,' along with numerous collective works. His bibliometric record shows 124 citations with an H-index of 7, reflecting growing impact in business economics research.

• Financial Economics
• Behavioral Finance
• Economic Policy Uncertainty
• +۷ مورد دیگر

Joaquín Pérez Soler is an Associate Professor in the Department of Electronic Engineering at the School of Engineering, University of Valencia, Spain. His academic work integrates advanced telecommunications research with innovative engineering education practices. He is actively involved in research groups focused on Communications and Digital Systems Design (DSDC) and Human-Robot Interaction (HRI). His research spans optical wireless communication, visible light communication (VLC), free-space optics (FSO), radio-over-fiber (RoF), V2X communications, and electromagnetic interference. Additionally, he has a strong interest in educational technologies, particularly the use of robotics and software-defined radio in teaching. His work also extends to societal challenges, including the gender digital divide and STEAM education initiatives. His recent publications reflect a dual focus: advancing hybrid optical-wireless communication systems and innovating in engineering pedagogy. Themes include VLC positioning for industrial V2V, turbulence effects in FSO, and hands-on learning via robotic platforms. His work increasingly bridges technical innovation with social impact, particularly in digital inclusion and gender equity in technology education. Deployment of Visible Light Positioning techniques at low data rate for V2V industrial communications (2024) Evolution of OWC: A Collaborative Contour Across Various Sectors (2024) VLC positioning in low data rate for V2V communication. (2024) Análisis del estado de la digitalización y la brecha digital de género del sector empresarial de la Comunidad Valenciana (2024) Transformación Digital y Equidad de Género en la Formación del Profesorado de Magisterio (2023) Dr. Pérez Soler has contributed to educational innovation through projects like HOP LEARNING and Girls4STEM, promoting inclusive and hands-on learning in engineering. He has been involved in multiple teaching initiatives using software-defined radio and mobile robotics, assessing their impact on student engagement and learning outcomes. While no specific grants are mentioned, his sustained publication output and leadership in educational projects suggest active participation in funded research and teaching development programs. He leads and contributes to interdisciplinary research teams, particularly within the DSDC and HRI groups, focusing on both technical and educational aspects of engineering. His work fosters collaboration between telecommunications engineering and pedagogical innovation, aiming to prepare students for modern technological challenges while promoting equity and accessibility in STEM fields.

• Optical Wireless Communication
• Visible Light Communication (VLC)
• Free-Space Optics (FSO)
• +۱۲ مورد دیگر

Adeline De Montlaur is an Associate Professor at the Universitat Politècnica de Catalunya (UPC) within the School of Telecommunications and Aerospace Engineering of Castelldefels (EETAC), affiliated with the Department of Physics. She leads research in numerical methods for fluid dynamics and their applications in renewable energy systems and air traffic management. Her academic career includes a PhD in Aerospace Science and Technology (UPC, 2009), an M.S. in Mechanical and Aerospace Engineering (SUNY Buffalo, 2003), and an Engineering degree from ENSICA (France, 2002). Roles: Academic Staff, Researcher at LACÀN Center for Numerical Methods. Research Interests: High-order CFD methods, wind energy optimization, multiphase flows, air traffic flow management, and planetary atmospheric dynamics. Her work bridges computational methodologies with practical applications, such as optimizing wind turbine efficiency using flow control techniques and analyzing thermally-driven winds on Mars. She has contributed to over 50 publications and projects like the European-funded WOW-CONTROL initiative for turbine optimization. Awards include the 2023 Best Paper Award in Atmospheric Sciences. Key projects include wind resource assessment near hydroelectric dams, delay management strategies in air traffic control, and analytical models for aviation emissions. Adeline collaborates with global institutions and industry partners to advance sustainable energy and transport systems.

• Computational Fluid Dynamics (CFD)
• Wind Energy
• Air Traffic Management
• +۵ مورد دیگر

Maria Teresa Putellas is an Associate Professor in the Department of Physics at the University of Girona, affiliated with the Polytechnic School. She leads research in the Environmental Physics Research Group, focusing on hydrodynamic processes in aquatic ecosystems. Her work bridges environmental fluid mechanics, microplastics transport, and ecological engineering. Research Interests: Dr. Putellas investigates: (1) Transport mechanisms of sediments and microplastics in coastal/riverine systems; (2) Interactions between hydrodynamics, vegetation, and particle dynamics; (3) Nature-based wastewater treatment using Daphnia magna filtration; (4) Ecological solutions for pollution mitigation in wetlands and coastal zones. Her projects include PlastikHUM (microplastics in wetlands), EU COST Action PRIORITY (coastal microplastics), and LIFE BIODAPH2O (wastewater treatment). Publication Trends: Recent articles (2019-2025) predominantly explore microplastics sedimentation, seagrass canopy hydrodynamics, turbidity currents, and Daphnia-based water treatment. Common themes include particle transport under varied flow regimes, vegetation-mediated pollution control, and ecosystem-scale applications of fluid mechanics principles. Grants & Collaboration: She coordinates multidisciplinary projects involving sediment resuspension studies (WINDERS), wetland restoration, and EU-funded initiatives. Collaborations span hydrology, ecology, and environmental engineering, with frequent co-authorship within her research group and European networks.

• Environmental Fluid Mechanics
• Microplastics Transport
• Sediment Dynamics
• +۳ مورد دیگر

Daniel Martinez Ruiz is an Associate Professor at the Technical School of Aeronautics and Space of the Polytechnic University of Madrid (UPM), working in the Department of Fluid Mechanics and Aerospace Propulsion since September 2018. He progressed from Teaching and Research Staff to his current position as Associate Professor, with promotion to Contracted Doctor status in May 2021. His research focuses on: Fluid mechanics and combustion phenomena Green hydrogen and energy transition technologies Reactive flows and shock wave dynamics Turbulent mixing and multiphasic interactions Premixed flame propagation in narrow channels Supersonic combustion and detonations Dr. Martinez Ruiz employs a multidisciplinary approach combining asymptotic theoretical methods, experimental testing, and numerical simulation to address fundamental combustion challenges. His work has significant implications for clean energy technologies and hydrogen-based propulsion systems. His research contributions have been recognized with prestigious awards: Milton Van Dyke Prize (Atlanta 2018 Gallery of Fluid Motion) by the American Physical Society for work on "Premixed-flames oscillations in narrow channels" José Castillejo scholarship for international mobility of university professors 2021 Juan de la Cierva - Incorporation 2017 state scholarship As an academic supervisor, Dr. Martinez Ruiz has guided two PhD students to completion: Fernando Veiga López ("Flame propagation in narrow channels" - UC3M, defended June 15, 2020 Cum Laude) and Alba Domínguez González ("Isolated flames of lean hydrogen-air mixtures in narrow gaps" - UPM, scheduled defense February 2025). He leads the Combustion and Fluid Mechanics Laboratory at ETSI Aeronautics and Space, which maintains specialized experimental equipment and computing resources. His laboratory actively participates in national and international collaborations with institutions including UC San Diego, Stanford University, CIEMAT, Carlos III University of Madrid, and European research centers M2P2 and IRPHE in France.

• Fluid Mechanics
• Combustion
• Hydrogen Energy
• +۷ مورد دیگر