Find Academic Supervisors

• Fluid Mechanics
• Multiphase Flows
• Environmental Engineering
• +3 more

Julien Landel is a Professor of Fluid Mechanics at Claude Bernard Lyon 1 University (UCBL) and a lecturer/researcher at Polytech Lyon, an engineering school affiliated with UCBL. He serves as Co-Head of the Mechanics Department at Polytech Lyon and International Manager for mechanical engineering students. His research focuses on fluid mechanics applications in industrial, environmental, and geophysical contexts, including surface cleaning/decontamination, drag reduction on superhydrophobic surfaces, Marangoni-driven flows, and turbulent mixing. He is part of the EM³ (Multi-physical, Multi-phase & Multi-scale Flows) team at the Laboratory of Fluid Mechanics and Acoustics (LMFA-UMR 5509). His work combines experimental and numerical methods, with societal applications such as pollution control, energy efficiency, and biomedical technologies. Research Themes: Cleaning & Decontamination: Modeling mass transfer, interfacial phenomena, and porous materials for surface cleaning. Superhydrophobic Surfaces: Investigating drag reduction mechanisms and surfactant effects in laminar/turbulent flows. Marangoni Flows: Studying surfactant-driven dynamics in confined geometries and thin films. Turbulent Transport: Analyzing dispersion and mixing in canonical flows (jets, plumes) and multi-phase systems. Affiliations & Labs: Member of the EM³ team within LMFA-UMR 5509, collaborating with UCBL and École Centrale de Lyon. Engaged in interdisciplinary projects with industrial and academic partners.

William WongView profile

Researcher

• Surface Science
• Materials Science
• Chemical Engineering
• +6 more

William Wong is a Postdoctoral Researcher and Marie Skłodowska-Curie Fellow in the Department of Applied Physics, with a PhD in Engineering from Australian National University (2018) and a B.Eng (1st Class Honors) in Chemical Engineering from National University of Singapore (2013). His research focuses on Surface Science, Materials Science, and Interfacial Energy, with specializations in superhydrophobic surfaces, liquid repellency, and plastron engineering. He has secured prestigious grants including an Academy of Finland Postdoctoral Fellowship (2022) and an ANU Discovery Translation Fund award (2017). His work intersects with the UN Sustainable Development Goals, particularly in Education/Academic Qualification. Key projects include Enhanced Electrocatalysis via the Plastron Effect (RCF, 2022-2025) and SuperElectro: Super(de)wettability-enhanced Electrocatalysis (EU Horizon Europe, 2022-2025). He explores applications like underwater bubble capture and anti-fingerprint glass. His recent publications analyze super liquid-repellent surfaces, capillary wave dynamics, and droplet contaminants on superamphiphobic coatings. Scientific Awards: Academy of Finland Postdoctoral Fellowship ANU Discovery Translation Fund 2.0 Australian National University Media and Outreach Award Australian National University Research Scholarship Faculty of Engineering High Achievement Award Research Trends: Surface Science (100% focus), Contact Angle Hysteresis (40%), Polysiloxane (40%), Interfacial Energy (37%), Polydimethylsiloxane (33%), Repellency (26%). Media Coverage: Featured in Finnish media (2023) for "magic sand"-enabled anti-stick surface research.

Hugh OsbornView profile

Professor

• Quantum Field Theory
• Theoretical Physics
• Conformal Field Theory
• +3 more

Professor Hugh Osborn holds the position of Professor of Mathematics at the Department of Applied Mathematics and Theoretical Physics (DAMTP) , part of the Faculty of Mathematics at the University of Cambridge. His research focuses on Quantum Field Theory , with a particular emphasis on Conformal Field Theory , Renormalization Group flows , and High Energy Physics . He is associated with the High Energy Physics Research Group at DAMTP and maintains a personal homepage at http://www.damtp.cam.ac.uk/user/ho/ . Research Interests Osborn's work explores foundational aspects of quantum field theory, including conformal symmetry, critical phenomena, and the mathematical structures underlying particle physics. His contributions span topics such as conformal bootstrap techniques , superconformal indices , and exact renormalization group equations . Recent studies include analyses of multi-critical fixed points and the diagonal limit of conformal blocks in diverse dimensions. Publications His most recent publications (2018–2005) emphasize advancements in conformal field theory, renormalization group methods, and superconformal symmetry. Key themes include the exploration of fixed points in scalar theories, structures in six-dimensional conformal manifolds, and applications of the superconformal index in dual theories. Awards & Grants No specific awards or grants are explicitly listed in the provided texts. However, his extensive publication record and academic position reflect sustained contributions to theoretical physics. Labs & Collaborations Osborn collaborates within the High Energy Physics group at DAMTP, contributing to interdisciplinary research at the interface of mathematics and physics. His work often involves theoretical frameworks applicable to both particle physics and condensed matter systems.

Patrik KnopfView profile

Lecturer

• Partial Differential Equations
• Mathematical Physics
• Optimal Control Theory
• +3 more

Dr. Patrik Knopf is a Lecturer at the University of Regensburg, Faculty for Mathematics. He holds a Dr. rer. nat. habil. (Habilitation) from the University of Regensburg (2024) and a PhD (Dr. rer. nat.) from the University of Bayreuth (2017). His research focuses on partial differential equations, optimal control theory, and mathematical physics, with applications to materials science and fluid dynamics. Notable achievements include the 2024 Richard von Mises Prize from the GAMM. He has conducted research visits at the Illinois Institute of Technology (2019) and Fudan University (2025). Knopf leads a research team and oversees a DFG-funded doctoral position. His work spans topics such as Cahn-Hilliard equations with dynamic boundary conditions, phase-field methods, and plasma control via Particle-In-Cell methods. Education: Habilitation (2024): University of Regensburg PhD (2017): University of Bayreuth M.Sc. (2013), B.Sc. (2011): University of Bayreuth Awards: Richard von Mises Prize (2024) Grants: DFG grant for a doctoral student DAAD-funded visit for Dr. Sema Yayla (2024) Research Interests: Phase separation dynamics, optimal control of PDEs, fluid-structure interactions, and numerical methods for kinetic equations.

• Optimization
• Statistics
• Data Science
• +3 more

Tyler Maunu is an Assistant Professor of Mathematics at Brandeis University, affiliated with the Department of Mathematics and the Benjamin and Mae Volen National Center for Complex Systems. His research focuses on statistical methodologies, optimization algorithms, machine learning, and their applications to computer vision and data science. He holds a Ph.D. in Mathematics from the University of Minnesota-Twin Cities, alongside multiple advanced degrees from the same institution. Maunu's research advances robust subspace recovery and optimal transport, emphasizing scalable and privacy-aware techniques. His work bridges theoretical foundations (e.g., non-convex optimization landscapes) with practical applications in data recovery and generative modeling. Notable areas include Bures-Wasserstein geometry, stochastic gradient methods, and adversarial robustness in high-dimensional data analysis. His articles span topics like preconditioned Langevin Monte Carlo, optimal transport barycenters, and scalable graph matching algorithms. While no explicit awards are cited, his contributions reflect ongoing innovation in computational statistics and optimization. His affiliation with the Volen Center underscores interdisciplinary engagements in complex systems research.

Ruixue ChengView profile

Senior Lecturer

• Flow Measurement
• Multi-phase Flow
• Sensing Techniques
• +5 more

Dr. Ruixue Cheng is a Senior Lecturer in Mathematics at the School of Engineering, Computing and Digital Technologies (SCEDT), Teesside University. She holds academic qualifications from Northeast University China (BEng), University of Science and Technology Beijing (MSc), and Teesside University (PhD in gas-solids flow measurement). Her career spans academia and industry, including roles at ABB Automation Ltd and the University of Science and Technology Beijing. Her research focuses on flow measurement, multi-phase flow sensing, signal processing, and mathematical modeling of combustion systems. Education: BEng in Instrumentation and Control Engineering, Northeast University, China MSc in Automation, University of Science and Technology Beijing, China PhD in Gas-Solids Flow Measurement, Teesside University, UK Research Interests: Development of advanced instrumentation systems for coal-fired power plants Optimization of pulverised fuel metering and signal processing Combustion diagnostics using laser and deep learning techniques Her work has led to 4 patents and over 40 academic publications in journals like Combustion and Flame and Experimental Thermal and Fluid Science . Scientific Awards: National Metrology Prize (2023) for contributions to clean fuel combustion technology Grants & Patents: EU, DTI, and industry-funded research projects on solids-gas flow metering systems 4 patents on pulverised fuel metering systems and signal processing Labs/Teams: Active in the Centre for Sustainable Engineering, collaborating on combustion diagnostics and sensor technology development.

Alberto AlberelloView profile

Research Fellow

• Ocean Engineering
• Fluid Dynamics
• Climate Modeling
• +3 more

Alberto Alberello is a Research Fellow at the University of East Anglia 's School of Engineering, Mathematics and Physics, specializing in Fluids & Structures . His work focuses on wave-ice interactions, polar oceanography, and nonlinear wave dynamics. Doctor of Science, Swinburne University of Technology (2017) Master of Engineering, Politecnico di Milano (2012) Bachelor of Engineering, Politecnico di Milano (2010) Alberello's research explores the complex interactions between ocean waves and sea ice, particularly in Antarctic and Arctic environments. He investigates wave propagation in ice-covered waters, wave-induced ice breakup, and the development of numerical models like WIce-FOAM for simulating heterogeneous sea ice systems. His work contributes to understanding climate dynamics and improving maritime safety in polar regions. His recent publications demonstrate expertise in wave mechanics, with a focus on parameter-free Schrödinger systems, ICESat-2 altimetry validation, and nonlinear wave evolution under heterogeneous damping. Alberello's work spans both theoretical modeling and experimental validation through wave tank studies and field measurements. Alberello actively collaborates internationally, with recent projects involving institutions such as the Isaac Newton Institute for Mathematical Sciences , London Mathematical Society , and the Daiwa Anglo-Japanese Foundation . He has presented at conferences in New Zealand and Australia and conducted fieldwork in the Southern Ocean and Okhotsk Sea.

• Scientific Visualization
• Immersive Visualization
• High-Performance Scientific Computing
• +7 more

Kenny Gruchalla is an Adjunct Assistant Professor at the University of Colorado, affiliated with the National Renewable Energy Laboratory (NREL). His research focuses on scientific visualization techniques for large-scale energy systems, including immersive visualization, high-performance computing, and GPU-based solutions. He specializes in analyzing power grid dynamics, renewable energy integration, and human-computer interaction in energy scenarios. Affiliations: University of Colorado (Computer Science), NREL (Energy Systems Group) Research Themes: Energy Visualization, Grid Resilience, Renewable Technologies His work emphasizes visual analytics for decision-making in energy systems, such as anomaly detection in grids, AR-based training for solar technicians, and AI-driven grid management (eGridGPT). He collaborates with industry partners like Duke Energy and utilities to address challenges in distributed energy resources and decarbonization. Key contributions include the SAGA platform for grid anomaly detection, blade-resolved wind turbine simulations, and frameworks for contextual compression of large-scale datasets. His team also developed tools like the Surface Phase Explorer for catalyst modeling and the OpenStudio City Database for city-scale energy analysis. Gruchalla has been recognized with the APS Gallery of Fluid Motion Award (2021) for his work on jet impingement visualization. His research bridges computational science, visualization, and energy engineering, with a focus on translating complex data into actionable insights for stakeholders.

Nadia KouraytemView profile

Assistant Professor

• Metal Additive Manufacturing
• 3D Printing
• Material Characterization
• +3 more

Dr. Nadia Kouraytem is an Assistant Professor in the Department of Mechanical and Aerospace Engineering at Utah State University, where she directs the METAL 3D Structures Lab. Her research focuses on characterizing process-structure-property relationships in laser-based metal additive manufacturing using advanced experimental techniques and in-situ measurements. She collaborates with national laboratories and industry partners to advance applications in aerospace, defense, and renewable energy sectors. Education PhD in Mechanical Engineering from King Abdullah University of Science and Technology (KAUST, 2016), MS in Mechanical Engineering (KAUST, 2013), and BS in Mechanical Engineering from American University of Beirut (2011). Research Interests Her work encompasses metal additive manufacturing (3D printing), multi-scale material characterization, process optimization for structural applications, and the development of physics-driven and data-driven models to predict material behavior under extreme conditions. She employs techniques ranging from in-situ X-ray imaging to mechanical testing across temperature and strain-rate regimes. Publication Focus Her 15 most recent articles (2016–2025) predominantly explore additive manufacturing defects, process parameter optimization, material behavior under dynamic loading, and innovative characterization methods. Trends include laser powder bed fusion, multi-material systems, and computational modeling approaches bridging microstructural features to macroscopic properties. Awards and Honors Undergraduate Research Mentor of the Year, MAE Department, USU Recognition as a woman leader in Utah's advanced manufacturing industry (UAMMI) Grants and Advising She secured a $800,000 NEUP grant to study mechanical variability in additively manufactured metals and collaborates on a DOE-SETO project analyzing creep-fatigue interactions for renewable energy applications. Currently advises five graduate students on topics including functionally graded materials and recuperator design for concentrated solar power. Laboratory Leadership The METAL 3D Structures Lab utilizes in-situ process monitoring, microstructural characterization, and multi-scale mechanical testing to evaluate additive manufacturing outcomes. Current projects involve collaborations with Argonne National Laboratory and industry partners to qualify materials for high-temperature applications.

Peter GlarborgView profile

Professor

• high temperature chemistry
• chemical kinetic modeling
• combustion
• +4 more

Peter Glarborg is a Professor in the Department of Chemical and Biochemical Engineering at the Technical University of Denmark (DTU). He is actively involved with the CHEC Research Centre and maintains a strong research presence in combustion chemistry and related fields. His work spans multiple research projects and collaborations, with recent activities including supervision of PhD students working on topics such as multi-component fuel oxidation, waste-to-energy NOx control, and phosphorus chemistry in thermal conversion of waste. Gl Professor Glarborg's research focuses on high temperature chemistry, chemical kinetic modeling, combustion processes, and harmful emission control. His work contributes significantly to addressing UN Sustainable Development Goals related to clean energy and environmental protection. His fingerprint analysis shows strong expertise in flow reactor engineering, kinetic modeling, methane chemistry, low-temperature processes, pyrolysis, and ignition phenomena. His recent publications demonstrate a continued focus on advancing fundamental understanding of combustion chemistry while addressing practical environmental challenges. His scientific contributions span numerous publications including 304 journal articles, 42 conference proceedings, 31 reports, and various other research outputs totaling 446 publications. His research has been cited extensively, with some publications accumulating over 100 citations. Glarborg is particularly active in the areas of nitrogen chemistry, biomass conversion, and emission control technologies. Research expertise spans high temperature chemistry, chemical kinetic modeling, and combustion processes Active contributor to UN Sustainable Development Goals related to clean energy and environmental protection Specializes in flow reactor engineering, kinetic modeling, and methane chemistry Focuses on practical applications for emission control and sustainable energy solutions Professor Glarborg actively supervises PhD students and collaborates on multiple research projects. His current supervision includes projects on multi-component fuel oxidation, waste-to-energy NOx control, oxyfuel combustion in cement plants, and phosphorus chemistry in thermal conversion of waste. His collaborative network extends internationally, with research activities spanning multiple countries and institutions. Glarborg is also involved in the CHEC Research Centre, a long-term project that has been active since 1986, focusing on harmful emissions research with applications in emission control and international cooperation.

• Fluid Mechanics
• Thermodynamics
• Turbulence Modeling
• +3 more

Mathieu Creyssels is an ECL Lecturer and researcher at the Laboratory of Fluid Mechanics and Acoustics (LMFA - UMR 5509), affiliated with École Centrale de Lyon in Lyon, France. His research focuses on fluid mechanics, turbulence, heat transfer, and geophysical fluid dynamics. He collaborates with Benoit Pier on transition to turbulence studies and investigates turbulent thermal convection at the Physics Laboratory of École Normale Supérieure de Lyon. Education includes teaching roles in mechanics and physics courses at École Centrale (ECL) and a Master's in Research in Mechanics from UCBL/ECL/INSA. His work spans experimental and numerical approaches to fluid dynamics challenges in energy systems, industrial processes, and biomedical applications. Recent research highlights include studies on surface micromorphology effects on heat exchange, turbulence modeling in rotating flows, and electrical transport in granular media. He advises students in fluid mechanics and co-leads projects on multi-phase flows and environmental fluid dynamics. Active in LMFA's Turbulence & Instabilities team, he contributes to instrumentation development and experimental facilities like anechoic wind tunnels and environmental hydrodynamics channels. His work addresses societal challenges in energy efficiency and fluid dynamics optimization.

Narendra DevView profile

Researcher

• Fluid Mechanics
• Multiphase Flow
• Bubble Dynamics
• +3 more

Narendra Dev is a researcher at the Fluid Mechanics and Acoustics Laboratory (LMFA - UMR 5509) affiliated with Claude Bernard Lyon 1 University in Lyon, France. He works within the Mechanical Engineering department, focusing on experimental fluid dynamics with particular emphasis on bubble phenomena and multiphase flow systems. His research interests center around fluid mechanics, specifically bubble dynamics, multiphase flow systems, jet impingement phenomena, and hydrodynamics. Dev's work demonstrates a strong experimental focus, utilizing advanced laboratory techniques to investigate complex fluid interactions. His research has significant applications in industrial fluid systems, environmental flow modeling, and multiphase transport phenomena. Dev's publication record shows a consistent focus on bubble cloud dynamics and jet-related phenomena, with two notable recent publications in high-impact fluid mechanics journals. His 2024 paper in the Journal of Fluid Mechanics examined the balance between liquid inertia and bubble cloud buoyancy in circular plunging jet systems, while his 2025 work in the International Journal of Multiphase Flow investigated bubble cloud generation through multi-plunging jet configurations. These studies represent significant contributions to understanding complex multiphase flow behaviors. As a researcher at LMFA, Dev collaborates with prominent fluid dynamics experts including J. John Soundar Jerome, Hélène Scolan, and Jean-Philippe Matas. His work appears to be supported by the laboratory's extensive experimental facilities for fluid mechanics research, including specialized equipment for multiphase flow visualization and measurement.

Iker Rivas-GonzálezView profile

Researcher

• Genomics
• Population Genetics
• Phylogenomics
• +3 more

Iker Rivas-González is a postdoctoral researcher at the Department of Primate Behavior and Evolution, Max Planck Institute for Evolutionary Anthropology in Leipzig. Previously, he earned a Bachelor’s in Biochemistry and Molecular Biology from the University of the Basque Country, followed by a Master’s in Bioinformatics at Aarhus University (Denmark). He completed his PhD at Aarhus University, focusing on primate phylogenomics. His research interests span genomics, population genetics, method development, theoretical population biology, and data visualization. Currently, he contributes to the Amboseli Baboon Research Project, integrating 50 years of observational data with baboon genomic data to address evolutionary questions. His work bridges computational methods and evolutionary theory, emphasizing topics like phylogenetic reconstruction, incomplete lineage sorting, and genomic analysis tools. Notable contributions include the development of the TRAILS algorithm and PhaseTypeR software. While no scientific awards are listed, his research underscores interdisciplinary approaches to understanding primate evolution and genomic diversity. Iker collaborates within the Genes and Behavior group, focusing on primate behavior and evolutionary anthropology. His projects often involve large-scale genomic datasets and computational modeling to explore evolutionary mechanisms. For further details, visit his website: https://rivasiker.github.io .

Alexandra Le MoineView profile

Teaching Professor

• Computational Fluid Dynamics
• Multi-phase Flows
• Turbulence Modeling

Alexandra Le Moine is an Assistant Teaching Professor in the Department of Aerospace Engineering Sciences at the University of Colorado Boulder. She holds an MS in Mechanical Engineering from the University of Wisconsin-Madison and dual BS degrees in Aerospace Engineering and Mathematical Sciences from the Florida Institute of Technology. Education: BS, Aerospace Engineering, Florida Institute of Technology BS, Mathematical Sciences, Florida Institute of Technology MS, Mechanical Engineering, University of Wisconsin-Madison Her research focuses on Computational Fluid Dynamics (CFD) , specializing in multi-phase flows and turbulence modeling. Prior to her academic role, she worked as a Research Engineer at Convergent Science Inc. (2015–2017). No notable scientific awards or grants were mentioned in the provided text. She currently teaches in the aerospace engineering program but no specific labs or teams are listed.

• Tissue Engineering
• Health Sciences
• Biomedical Engineering
• +3 more

Prof. Sibylle Grad holds the position of Privatdozent at the Department of Health Sciences and Technology, ETH Zurich, and is affiliated with the AO Forschungsinstitut Davos. Her research interests span tissue engineering, biomedical engineering, and regenerative medicine, with a focus on translating scientific advancements into clinical applications. She is based in Davos, Switzerland, and can be reached at sibylle.grad@hest.ethz.ch. While her current academic role emphasizes health sciences, her earlier work included a 1993 publication on multi-phase flow modeling in wellbores, indicating interdisciplinary expertise across energy systems and mechanical engineering. Her professional activities are centered at the intersection of medical technology and engineering innovation.