جستجوی استاد راهنمای دانشگاهی

André Bardow is a Full Professor at the Department of Mechanical and Process Engineering, ETH Zürich. His research focuses on energy systems optimization, life cycle assessment, computer-aided molecular design, and CO2 capture/utilization. Professor (ETH Zürich, 2020–present) Head of Institute of Technical Thermodynamics (RWTH Aachen University, 2010–2020) Visiting Professor (University of California, Santa Barbara, 2015/16) Part-time Director (Forschungszentrum Jülich, 2017–2022) Associate Professor (TU Delft, 2007–2010) Research Interests: His work spans energy and process systems engineering, with emphasis on sustainable technologies. Key areas include: Computer-aided molecular and process design Machine learning for chemical engineering Carbon capture and utilization (CCU) Life cycle assessment (LCA) of industrial processes Thermo-economic modeling of energy systems Multiphase equilibrium analysis Publication Trends: Recent articles focus on integrating machine learning with process design, optimizing CO2 capture in steel production, and advancing electrochemical cooling technologies. Subfields include sustainable plastics, ORC working fluids, and solvent mixture design. Scientific Awards: Fellow of the Royal Chemical Society Recent Innovative Contribution Award (EFCE, 2019) PSE Model-Based Innovation Prize (2018) Covestro Science Award (first recipient) Arnold-Eucken-Award (VDI-GVC) Highly Cited Researcher (Clarivate, 2024) Advising and Grants: Professor Bardow mentors students in process optimization and leads projects like Systemic expansion of territorial CIRCULAR Ecosystems for end-of-life FOAM (Grant 101036854, EC).

• Energy systems optimization
• Conceptual process design
• Life cycle assessment
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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.

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

Antonio De Rosa is an Associate Professor in the Department of Decision Sciences at Bocconi University, Italy. Previously, he held positions at the University of Maryland, College Park (2020–2024), and the Courant Institute of Mathematical Sciences, New York University (2017–2020). He earned his Ph.D. in Mathematics from the University of Zurich in 2017 under Camillo De Lellis and Guido De Philippis. Education: Ph.D. in Mathematics, University of Zurich (2017). His research spans Geometric Analysis , Partial Differential Equations , Calculus of Variations , Geometric Measure Theory , Optimal Transport , and Non-convex Optimization . Recent work focuses on anisotropic geometric variational problems, including existence, regularity, and uniqueness of anisotropic minimal surfaces and CMC (constant mean curvature) surfaces. He has also contributed to interdisciplinary applications in Explainable Risk Assessment and Data Analysis . The 15 most recent articles highlight advancements in anisotropic surfaces , min-max theory , optimal transport , and mathematical programming (e.g., K-means clustering, linear programming). Key trends include the intersection of geometric measure theory with nonlinear PDEs and applications in machine learning and transportation networks . Scientific Awards and Grants: 2023 Maryland Research Excellence Carlo Ciliberto Prize (2019) ERC Starting Grant ANGEVA (101076411, 2023–2028) Air Force Office of Scientific Research (AFOSR) grant (FA9550-23-1-0123) NSF CAREER Award (DMS-2143124) NSF DMS Awards (DMS-1906451, DMS-2112311) AMS Simons Travel Grant Antonio actively supervises research and teaches courses such as Optimization and Introduction to Partial Differential Equations . His work is supported by significant funding totaling approximately €3 million.

• Geometric Analysis
• Partial Differential Equations
• Geometric Measure Theory
• +۳ مورد دیگر

Ronald G. Larson serves as the George Granger Brown Professor of Chemical Engineering and A. H. White Distinguished University Professor at the University of Michigan's College of Engineering, with additional appointments in Mechanical Engineering and Macromolecular Science & Engineering. His research leadership spans multiple departments within the Chemical Engineering Division, where he directs the Larson Lab focused on fundamental and applied soft matter physics. His research program investigates complex fluids through computational and theoretical frameworks, emphasizing polymer physics, rheology, and molecular simulations. Key thrusts include polymer melt processing, biomembrane dynamics, colloidal systems, and polyelectrolyte coacervation. The group employs advanced techniques like Brownian dynamics, coarse-grained modeling, and multiscale simulation to address challenges ranging from industrial polymer processing to biomedical applications. Recent publications (2023-2025) reveal strong momentum in rheological modeling of complex fluids, with particular emphasis on self-healing materials, wax deposition in pipelines, and crystallization mechanisms. The work bridges fundamental molecular insights with industrial applications, demonstrating consistent high-impact output across polymer science, soft matter physics, and chemical engineering domains. The Larson Lab operates as a collaborative hub within the Chemical Engineering Department, leveraging computational resources to advance understanding of fluid mechanics and material properties. Current projects integrate machine learning with traditional modeling approaches, reflecting the group's commitment to methodological innovation while maintaining strong connections to experimental validation and real-world engineering problems.

• Complex Fluids
• Fluid Mechanics
• Polymer Physics
• +۶ مورد دیگر

Ali Maalaoui is a Professor of Mathematics at Clark University, specializing in geometric analysis and calculus of variations, with a focus on conformal and CR geometries. He holds a Ph.D. from Rutgers University (2013) and a prior Ph.D. from the University of Tunis (2010). Before Clark, he was an Associate Professor at the American University of Ras Al Khaimah in the UAE and a postdoctoral fellow at the University of Basel, Switzerland. His research explores critical geometric partial differential equations (PDEs) involving energy concentration and bubbling phenomena, particularly in contexts like Dirac-Einstein equations, fractional Yamabe problems, and CR manifolds. Key contributions include studies on Q’-curvature flows, singular solutions in geometric PDEs, and functional inequalities in non-Euclidean settings. Maalaoui’s work combines analytical techniques from functional analysis, geometric measure theory, and Morse-Floer homology. Recent trends in his publications focus on fractional operators, spin geometry, and applications of conformal invariance principles. His articles span high-impact journals such as Mathematische Nachrichten , Journal of Differential Equations , and Calculus of Variations and Partial Differential Equations . No scientific awards or grants are explicitly listed in the provided information. He has advised no listed students but has contributed to collaborative projects with institutions worldwide. His research often involves international co-authors, reflecting a global network in geometric analysis.

• Geometric Analysis
• Calculus of Variations
• Conformal Geometry
• +۶ مورد دیگر

Prof. Dr.-Ing. David E. Rival is a full Professor at the Institute of Fluid Mechanics within the Faculty of Mechanical Engineering at Technische Universität Braunschweig. His research spans interdisciplinary domains at the intersection of experimental fluid dynamics, data assimilation, network science, and bio-inspiration, with applications in renewable energy systems and bio-mimetic engineering. Former Associate Professor at Queen’s University, Canada Doctoral work on dragonfly flight aerodynamics at TU Darmstadt Alexander von Humboldt research fellowship recipient (2020) Postdoctoral associate at MIT studying shape morphing in nature Research chair at University of Calgary on atmospheric sensing His work focuses on unsteady flow phenomena, bio-inspired design, and advanced measurement techniques. Key projects include: Co-chairing NATO AVT task group on flow separation International collaborations with AFOSR, NATO, and ONR Development of cost-effective flow-tracking sensors for natural environments Investigations into shear-thinning suspension dynamics and vortex ring behavior Recent publications demonstrate a strong emphasis on: Large-scale particle tracking with natural light and UAVs Machine learning for sparse data reconstruction in fluid flows Soft coastal protection methods and ecohydraulics Advanced sensing techniques for atmospheric and industrial applications Scientific Awards: 2020: Alexander von Humboldt Research Fellowship Notable research achievements include textbook authorship on Biological and Bio-Inspired Fluid Dynamics (Springer) and media features in The Nature of Things (David Suzuki) and Discovery Channel’s Daily Planet .

• Experimental Fluid Dynamics
• Data Assimilation
• Network Science
• +۳ مورد دیگر

Pierre Perron is a Professor of Economics at Boston University, specializing in econometrics and time series analysis. He holds positions in the Department of Economics, with a focus on structural change, unit root testing, and applications in climate change and financial markets. He received his PhD from Yale University. Education: PhD in Economics, Yale University Research Interests: Development of econometric methods for time series with structural breaks and unit roots Applications to climate change, financial markets, and macroeconomic policy Advances in statistical inference for nonstationary processes Key Awards: Fellow of the Econometric Society Clarivate Citation Laureate (2020) Doctor Honoris Causa from Pontificia Universidad Católica del Perú (2023) Recipient of the Distinguished Author Award (2022) Advising & Grants: Supervised numerous PhD students in econometrics, with many contributing to theoretical and applied research globally. His work has been supported by grants and recognized through high-impact publications. Publications: Authored/co-authored over 150 articles and books, including two volumes on Time Series Econometrics (2019) and cutting-edge work on structural change and climate modeling.

• Econometrics
• Time Series Analysis
• Structural Change Analysis
• +۴ مورد دیگر

Nathan B. Speirs is an Assistant Professor in the Mechanical Engineering Department at Brigham Young University's College of Engineering. He joined the faculty in 2023 and specializes in interfacial fluid dynamics using high-speed photography and theoretical modeling. His research explores water entry mechanics, cavitation bubble dynamics, and microphysical interactions of droplets with airborne particulates. PhD in Mechanical Engineering, Utah State University (2018) BS in Mechanical Engineering, Brigham Young University (2015) His research spans: High-speed imaging of water entry and cavitation phenomena Hydroelastic effects on cavity formation Droplet-particulate interactions in atmospheric flows Acceleration-induced fluid instabilities Recent publications focus on water entry dynamics, cavitation control, and fluid-structure interactions, with applications in naval engineering and environmental science. Trends include experimental validation of theoretical models and visualization of transient fluid behaviors. Scientific honors include the American Physical Society Division of Fluid Dynamics Gallery of Fluid Motion Award (2023). Teaching interests emphasize fluid dynamics and engineering measurement techniques. Professional roles include ad hoc peer review for the Journal of Fluids and Structures , Journal of Fluid Mechanics , National Science Foundation grant proposals, and American Physical Society conferences.

• Interfacial Fluid Dynamics
• High-Speed Photography
• Cavitation
• +۴ مورد دیگر

Alexis Akira Toda is a Professor in the Department of Economics at Emory University since 2024. Previously, he held academic positions at UC San Diego for 11 years, including roles as Associate and Assistant Professor. He holds a Ph.D. in Economics from Yale University (2013) and an M.D. from the University of Tokyo (2004). His research spans macro-finance, asset price bubbles, power law phenomena, mathematical economics, and computational economics. Toda’s work has been published in top journals such as Econometrica , Journal of Political Economy , and Review of Financial Studies . His research interests include the necessity of asset bubbles, computational methods for macroeconomic models, and the mathematical foundations of power laws. He has contributed to understanding wealth inequality, optimal epidemic control, and the implications of financial development on capital flows. Awarded the Junko Maru Prize (2021) and the GPIF Finance Award (2021), Toda is also a medical doctor and anesthesiologist. He serves as a co-editor at Journal of Mathematical Economics and an associate editor at Economic Theory . His Erdős number is 3, reflecting his interdisciplinary research reach. Recent work includes studies on unbalanced economic growth, land overvaluation, and the dynamics of housing bubbles. Toda emphasizes clear, concise papers and has authored over 50 publications across economics, mathematics, and medical journals.

• Macro-finance
• Asset price bubbles
• Power law in economics and finance
• +۲ مورد دیگر

Pezhman Ahmadi is a Research Fellow at the University of Heriot-Watt's School of Energy, Geoscience, Infrastructure and Society within the Institute for GeoEnergy Engineering. His work focuses on thermophysical properties of CO₂-rich systems, phase behavior modeling, and carbon capture and storage (CCUS) technologies. He contributes to UN Sustainable Development Goals related to affordable and clean energy (SDG 7) and climate action (SDG 13). Research interests include impurity effects on CO₂ systems, high-pressure fluid properties, and experimental validations of thermodynamic models. Recent projects involve bubble point analysis in CO₂-H₂ mixtures, viscosity measurements of hydrogen-methane blends, and vapor-liquid equilibrium studies in hydrocarbon systems. His work integrates both experimental data collection and computational modeling to advance CCUS applications. Awarded the Adrian Todd Golden Key Student Fund in 2016, Ahmadi collaborates on industry projects such as phase behavior of CO₂-volatile organic compounds and hydrogen production via waste heat valorization. He actively contributes to joint industry projects (JIPs) addressing challenges in CO₂ gas hydrate prediction, methane blends, and subsea fluid systems. Labs and teams: Affiliated with the Institute for GeoEnergy Engineering, focusing on geoenergy systems and sustainable energy solutions.

• Carbon Capture and Storage (CCUS)
• Thermophysical Properties
• Phase Behavior Modeling
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Charles Holt is the A. Willis Robertson Professor of Political Economy at the University of Virginia's Department of Economics and Director of the Veconlab. His work bridges experimental economics , game theory , and economic education , with a focus on quantal response equilibrium (QRE), asset market bubbles , and belief/risk elicitation methods. He co-founded the journal Experimental Economics and has advised students like Ricky Sahu and Angela Smith on award-winning research. Education: BA, Washington & Lee University MS, PhD, Carnegie Mellon University Holt’s research demonstrates how stochastic decision-making in QRE explains systematic deviations from Nash equilibrium across social dilemmas, auctions, and voting games. His experimental auction designs for institutions like the FCC and Regional Greenhouse Gas Initiative have informed real-world policy. He also pioneered the Holt-Laury measure of risk aversion and the Veconlab software , used by 15,000 students monthly. Scientific awards include the 2023 AEA Distinguished Economic Education Award , the 2018 UVA Thomas Jefferson Award , and the 2008 SEA Kenneth Elzinga Teaching Award .

• Experimental economics
• Mathematical economics
• Behavioral game theory
• +۷ مورد دیگر

Professor Andrew Bassom is a Professor of Applied Mathematics and Head of Discipline in Mathematics at the University of Tasmania's School of Natural Sciences. He holds a PhD and has held prior appointments at the University of Western Australia (UWA) and the University of Exeter (UK). His research focuses on fluid mechanics, differential equations, and mathematical modelling with applications to ocean flows, geophysics, and biomedical engineering (e.g., ventilation of premature babies). Research Interests: Applied mathematics, theoretical and applied mechanics, fluid dynamics, and nonlinear systems. Recent work involves magnetic bubble dynamics, climate system hyperbolicity, thermal convection patterns, and seismicity modelling in mining contexts. Grants & Projects: Key projects include: A$460,000 ARC Discovery Project (2019–2023) studying Antarctic ice-sheet collapse via seismic signals. A$15,000 ARC College of Experts 2023 nomination grant. Modelling mining-induced seismicity using the Material Point Method (MPM). Teaching & Supervision: Teaches third-year/honours applied mathematics units. Current doctoral supervision includes projects on climate system hyperbolicity, non-spherical bubbles, and ice-rock interface dynamics. Completed students include Earl Sullivan Lester (dark matter cosmology) and Gysbert Basson (MPM applications in mining). Publications: Over 228 peer-reviewed articles, emphasizing fluid mechanics innovations and interdisciplinary applications. Recent trends focus on geophysical fluid dynamics, climate modelling, and computational methods for complex systems.

• Applied Mathematics
• Fluid Mechanics
• Theoretical Mechanics
• +۳ مورد دیگر

Dimitrios Rozakis is an Assistant Professor of Mechanical and Aerospace Engineering. He is actively engaged in research and teaching at the College of Engineering, where he leads the Aerodynamics & Propulsion Laboratory . Education PhD in Aerospace Engineering, National Technical University of Athens (2012) MSc in Fluid Mechanics, University of Manchester (2008) Diploma in Mechanical Engineering, Aristotle University of Thessaloniki (2006) Research Interests His research spans computational and experimental aerodynamics , with particular emphasis on: Transonic and supersonic flows Flow control using plasma actuators Hypersonic boundary-layer transition Reduced-order modelling and machine-learning techniques Turbomachinery aerodynamics Recent work has focused on high-fidelity simulations of buffet phenomena, experimental investigations of plasma-based separation control, and the development of data-driven surrogate models for unsteady aerodynamic loads. Selected Scientific Awards ASME Best Paper Award (2020) European Research Council Starting Grant (2018) AIAA Young Investigator Award (2016) Students, Grants & Funding He currently supervises three PhD students—Maria Koutsogianni, Panagiotis Giannakakis, and Eleni Christoforou—working on projects funded by the ERC, Horizon Europe, and the Greek Secretariat for Research & Technology. Active grants include an ERC Starting Grant on “Physics-informed machine learning for unsteady aerodynamics” (€1.5 M) and a Horizon Europe project on “Green regional aircraft technologies” (€4.2 M). Laboratory & Collaborations He directs the Aerodynamics & Propulsion Laboratory , which houses low-speed and transonic wind tunnels, a Ludwieg-tube facility for short-duration hypersonic experiments, and a high-performance computing cluster (>2 000 CPU cores). Ongoing collaborations include the von Karman Institute, DLR, and ONERA.

• Aerospace Engineering
• Fluid Dynamics
• Aerodynamics
• +۳ مورد دیگر

Steven Ruuth is a Professor in the Department of Mathematics at Simon Fraser University (SFU), within the Faculty of Science. He specializes in numerical methods for partial differential equations (PDEs), particularly those involving complex geometries and discontinuous solutions. His work bridges applied mathematics and computational science, focusing on interface dynamics, geometric numerical methods, and efficient algorithm development. Ph.D. in Applied Mathematics, University of British Columbia (1996) NSERC Postdoctoral Fellow and Visiting Assistant Professor at UCLA (1996–1999) His research emphasizes robust numerical techniques for evolving networks of interfaces, implicit-explicit time integration methods, and the closest point method for PDEs on manifolds. Applications span computational fluid dynamics, materials science, and computer vision. He has contributed to advancements in meshfree methods, RBF-FD discretizations, and parallel domain decomposition algorithms. Recipient of the Germund Dahlquist Prize (2011) and CAIMS Research Prize (2020) , he is also an editorial board member for SIAM Journal on Scientific Computing and Numerical Mathematics: Theory, Methods and Applications. Teaching responsibilities include courses such as MATH 260 (Introduction to Ordinary Differential Equations). His research group actively explores cutting-edge computational methods with applications to geometry processing and scientific computing challenges.

• Applied Mathematics
• Numerical Analysis
• Partial Differential Equations
• +۴ مورد دیگر

Gualtieri Paolo is an Associate Professor at Sapienza University of Rome, affiliated with the Department of Mechanical and Aerospace Engineering. His research bridges fluid dynamics and biomedical studies, focusing on turbulence modulation in polymeric/particle-laden flows and the interplay between diet, microbiota, and health outcomes. He has contributed significantly to computational methods like the Exact Regularized Point Particle (ERPP) approach for multiphase flow simulations. His work in fluid dynamics explores drag reduction via superhydrophobic surfaces, polymer physics, and high Reynolds number flows. Biomedical interests include obesity-related conditions, genetic risk factors (e.g., IL-6/MTHFR polymorphisms), and microbiota’s role in immunity and disease progression, particularly during the pandemic. He has also studied aeroelastic phenomena in aerospace systems (e.g., aileron stability) and aeroacoustics. Notable research trends include: (1) advancing numerical techniques for multiphase flows (ERPP method), (2) investigating turbulence dynamics in confined geometries and separated flows, and (3) applying engineering principles to address health challenges through interdisciplinary collaborations. No formal awards or grants are explicitly listed in the provided text.

• Fluid Dynamics
• Turbulence Modulation
• Polymer Physics
• +۵ مورد دیگر