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Marcus Herrmann is a Professor of Aerospace and Mechanical Engineering at Arizona State University's School for Engineering of Matter, Transport and Energy. He is also affiliated with the Center for Negative Carbon Emissions. His research focuses on fluid mechanics, multiphase flows, atomization processes, and numerical methods for discontinuous interfaces. Herrmann holds a PhD in Mechanical Engineering from RWTH Aachen University (2001) and a Diplom (1995). His career includes a postdoctoral fellowship at Stanford University's Center for Turbulence Research (CTR) and a visiting scientist position at the University of Technology Eindhoven, Netherlands. He has secured major grants from NASA, NSF, and industry partners like Honeywell, focusing on atomization modeling, supersonic crossflows, and turbulence simulations. Research interests span computational fluid dynamics, multiphase flow simulation, and LES/DNS methodologies. His recent work emphasizes high-fidelity numerical techniques for particle-resolved simulations and phase interface dynamics. Teaching includes courses like MAE 561 (Computational Fluid Dynamics) and MAE 384 (Advanced Math Methods for Engineers). He actively advises students through research and dissertation roles. Notable projects include modeling wax deposition in pipelines and developing novel approaches for interface dynamics in turbulent flows. His work bridges fundamental fluid mechanics with industrial applications like combustion systems and porous media modeling.

• Fluid Mechanics
• Multiphase Flow Modeling
• Numerical Simulation
• +3 more

Simon Masnou is a Full Professor at Université Claude Bernard Lyon 1, affiliated with the Institut Camille Jordan (CNRS UMR 5208). He holds leadership roles as Head of the 'Applied Mathematics, Statistics' Master's degree and Head of the 'M2 Maths in Action' program. Previously, he served as Director of the Camille Jordan Institute (2018-2022). His research focuses on applied mathematics, image processing, shape optimization, and geometric measure theory, with contributions to variational models, geometric flows, and applications in computer vision and materials science. Education: PhD in Mathematics (1998, Paris Dauphine) and HDR (2008, Paris 6). Research projects include ANR STOIQUES (2024-2028), PEPR PDE-AI (2023-2028), and collaborations with industry on topics like defect prediction in aluminum production and high-dimensional data analysis. Teaching includes courses on linear algebra, optimization, and machine learning at undergraduate and graduate levels. Key contributions span phase field models, varifold-based surface approximation, and image inpainting. He supervises PhD students in geometric variational problems and computational methods. His work bridges theoretical mathematics with industrial challenges, addressing issues in materials science, medical imaging, and cultural heritage preservation.

• Applied Mathematics
• Image Processing
• Shape Optimization
• +5 more

Michael Dumbser is a Full Professor at the University of Trento's Department of Civil, Environmental and Mechanical Engineering. His research focuses on computational fluid dynamics, numerical methods for hyperbolic conservation laws, and high-performance computing. He specializes in developing structure-preserving numerical schemes such as discontinuous Galerkin and finite volume methods for continuum mechanics, relativistic fluid dynamics, and multiphase flows. Teaching responsibilities include courses like Calcolo numerico e programmazione , High-Performance Computing for Multi-Functional Metamaterials , and Metodi numerici per l'ambiente . His work emphasizes thermodynamically compatible formulations and adaptive numerical methods for complex physical systems. Recent research trends involve hyperbolic reformulations of classical models (e.g., Navier-Stokes-Korteweg, Einstein equations), staggered semi-implicit schemes for incompressible flows, and GPU-accelerated algorithms. His publications span topics from geophysical fluid dynamics to relativistic astrophysics, with a focus on maintaining physical conservation principles in numerical implementations. No scientific awards are explicitly listed in the provided information. His advising record is not detailed here, though his courses suggest involvement in student mentorship. Research collaborations include projects on metamaterials and computational geophysics. Current initiatives include developing unified models for earthquake rupture dynamics, non-Newtonian fluid simulations, and adaptive mesh refinement techniques. His lab work involves high-performance computing frameworks like ExaHyPE for large-scale wave propagation studies.

• Computational Fluid Dynamics
• Discontinuous Galerkin Methods
• Finite Volume Methods
• +6 more

Dario De Marinis is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research focuses on fluid dynamics with applications in biomedical engineering, aerospace, and computational physics. Research Interests Fluid-structure interaction modeling Microfluidics and particle transport Biomedical applications (blood flow, valve mechanics) Aerospace engineering (hypersonic flows, turbulence) Numerical methods (Lattice Boltzmann, immersed boundary) Publications Trend Dario's recent work (2015–2025) spans computational fluid dynamics, with emphasis on multiphase flows, viscoelastic material behavior, and biomedical microfluidic devices. He has contributed to aerospace applications and turbulent thermal flows.

• Fluid Dynamics
• Biomedical Fluid Mechanics
• Microfluidics
• +3 more

Dario Viberti is a Full Professor at the Polytechnic University of Turin, affiliated with the Department of Environmental, Land and Infrastructure Engineering (DIATI). He is a member of the Interdepartmental Center Ec-L - Energy Center Lab and actively contributes to the Master's and Continuing Education School. He serves as Coordinator for both Master’s levels I and II of the Natural Resources Development and Storage program and participates in doctoral colleges for Civil and Environmental Engineering and Materials, Sustainable Processes, and Systems for the Transition. His research focuses on flow in underground porous media , geoenergy , and underground energy storage , particularly hydrogen and CO₂ storage. His expertise spans numerical modeling, reservoir engineering, fluid mechanics, well testing, and energy transition systems. He is involved in commercial research projects with ENI Corporate University and leads initiatives related to sustainable energy applications. His recent publications reveal a strong trend in underground hydrogen storage , biogeochemical modeling , pore-scale simulation , and PVT analysis of gas mixtures . These works emphasize safety, efficiency, and long-term integrity of subsurface storage systems using advanced computational and experimental methods. Scientific Manager, Underground CO2 Storage Project (2022) Scientific Manager, Reservoir Modeling Project (2022) Coordinator, Master’s Program in Natural Resources Development and Storage Member, SEASTAR Competence Center Committee (2020–2025) He mentors several PhD students, including Michel Tawil, Marialuna Loffredo, Alice Raeli, and Alice Massimiani, supporting research in microfluidics, Lattice Boltzmann simulations, and thermodynamic characterization. He teaches courses such as Numerical Modeling for Multiphase Flow , Underground Energy Storage , and Well Logging and Testing across multiple degree programs. His work aligns with UN SDGs 7 (Affordable and Clean Energy), 9 (Industry, Innovation, and Infrastructure), and 13 (Climate Action).

• Flow in underground porous media
• Geoenergy
• Underground energy storage
• +12 more

Martin Michael Hanczyc is an Associate Professor in the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento, Italy. His research program bridges biochemistry, biophysics, and synthetic biology to explore the fundamental principles of life through artificial systems. Dr. Hanczyc's primary research interests focus on synthetic biology and artificial life , particularly the creation and study of artificial cell systems using vesicles and droplets as model compartments. His work explores how simple chemical systems can exhibit life-like behaviors including self-organization, compartmentalization, and survival strategies. He investigates the physical and chemical principles underlying the formation of primitive cell-like structures, with implications for understanding the origin of life. His recent publications reveal a strong trend toward quantitative analysis of dynamic systems, with increasing focus on network formation, computational modeling, and high-throughput methods for studying artificial cell behaviors. The research spans from fundamental studies of vesicle and droplet dynamics to more complex investigations of artificial ecosystems and chemical networks that mimic biological processes. As an educator, Dr. Hanczyc teaches in the Biotechnology Engineering program and contributes to the RNA Biology and Biotechnology course, focusing on advanced biomaterials, tissue engineering, and regenerative medicine applications. His teaching emphasizes the integration of theoretical principles with practical applications in biomedical technologies.

• Synthetic biology
• Artificial life
• Biochemistry
• +5 more

Silvia Holler is a Researcher (RTD-A) at the Department of Cellular, Computational, and Integrative Biology (CIBIO) at the University of Trento. She specializes in biochemistry, biotechnology, and synthetic biology with a focus on enzymology, catalysis, and structural biology. Her work spans experimental and computational studies of protocells, droplet-based systems, and self-organizing soft matter. Teaching responsibilities include co-teaching the Biochemistry course at CIBIO, where she collaborates with scholars like Giovanni Piccoli and Martin Michael Hanczyc. The course covers foundational topics in biochemistry, enzymology, and molecular structures with practical skills in chromatography and enzymatic kinetics. Research interests emphasize artificial life systems, droplet engineering, and the physics of biological organization. Key themes include protocell formation, compartmentalized biochemistry, and ethical implications of synthetic biology innovations. Recent work explores self-organized patterns in soft matter, active matter dynamics, and computational modeling of multi-phase systems. Publications focus on droplet microfluidics, vesicle interactions, and agglomeration phenomena across scales. Collaborative efforts include editorial roles for artificial life conference proceedings and interdisciplinary projects combining biophysics with materials science. No scientific awards were explicitly mentioned in the provided materials. Her research lab activities are embedded within CIBIO's facilities, focusing on experimental setups for droplet-based synthetic biology and computational simulations of complex systems.

• Biochemistry
• Biotechnology
• Enzymology
• +6 more

Elia Distaso is an Assistant Professor at the Department of Mechanics, Mathematics & Management, Politecnico di Bari, Italy. His research focuses on fluid dynamics, hydrogen combustion, and computational modeling. University: Politecnico di Bari Department: Mechanics, Mathematics & Management Academic Rank: Assistant Professor Email: elia.distaso@poliba.it His work spans hydrogen engines , CFD simulations , and hydraulic systems , with recent publications addressing auto-ignition mechanisms, cavitation phenomena, and sustainable aviation technologies. He specializes in leveraging numerical methods for combustion and fluid flow analysis. His 15 most recent publications highlight trends in computational fluid dynamics, including boundary condition modeling, pressure-velocity coupling, and OpenFOAM® applications. Key subfields include hydrogen combustion dynamics , lubricant oil reactivity , cryogenic heat exchanger design , and piezohydraulic pump analysis .

• Fluid Dynamics
• Hydrogen Engines
• Combustion
• +4 more

Romano Giampaolo is a Full Professor at the Department of Mechanics and Aeronautics, Sapienza University of Rome. His research focuses on fluid dynamics, turbulence, and energy systems, with notable contributions to experimental methods like PIV (Particle Image Velocimetry). He explores topics ranging from aeroelastic energy harvesters to granular flows and biomedical applications of fluid dynamics. His work also occasionally intersects with corporate governance and financial structures, including studies on SPACs. Key research areas include turbulence modeling, energy conversion systems (e.g., piezoelectric and wind turbines), and fluid-structure interactions. His experimental investigations often involve high-resolution flow measurements and interdisciplinary applications, such as vascular aneurysm sealing systems and microchannel heat transfer devices. Recent articles highlight advancements in understanding multiphase flow dynamics, high-pressure methane jet behavior, and the structural effects of obstacles on fluid jets. His work bridges theoretical fluid mechanics with practical engineering solutions, particularly in renewable energy and medical device development.

• Fluid Mechanics
• Mechanical Engineering
• Turbulence
• +7 more

Vincenzo Sergio Vespo is a Researcher at the Department of Structural, Geotechnical and Building Engineering (DISEG) and serves as an External Lecturer and Teaching Assistant at the Department of Environment, Land and Infrastructure Engineering (DIATI), both at the Polytechnic University of Turin. His work bridges research and education in geotechnical and environmental engineering, with a strong focus on sustainable infrastructure and climate action. His research interests include: CO2 storage and geological sequestration Coupled thermo-hydro-chemo-mechanical processes Geoenvironmental and geotechnical engineering Numerical modeling of porous media Unsaturated soil mechanics Waste disposal and barrier systems His recent publications highlight a strong trend in modeling and experimental analysis of caprock behavior for CO2 storage, hydraulic performance of cement-bentonite mixtures, and evapotranspiration cover systems. These works reflect interdisciplinary efforts in civil, environmental, and computational engineering aimed at addressing climate change and sustainable land use. Scientific contributions include: Development of numerical models for capillary pressure estimation in caprocks Physical modeling of drying effects on engineered barriers FEM simulation of atmosphere-soil interactions Investigation of chemo-hydro-mechanical degradation in caprocks Vespo actively contributes to teaching as a course collaborator in both bachelor's and master's programs, particularly in geotechnics and experimental civil engineering. He has not been awarded any explicit scientific prizes, nor are any grants or advising roles mentioned in the available text. His research aligns with UN Sustainable Development Goals 13 (Climate Action) and 15 (Life on Land), and he operates within the ERC PE8_3 sector (Civil Engineering, Geotechnics).

• Geotechnical Engineering
• Geoenvironmental Engineering
• Geomechanics
• +7 more

Paolo Venturini is an Associate Professor at Sapienza University of Rome , specializing in fluid dynamics, renewable energy systems, and erosion prediction in turbomachinery. His research focuses on integrating computational modeling with experimental validation to address challenges in energy efficiency, material durability, and sustainable engineering solutions. Key research interests include Hydrogen production via floating photovoltaic systems Cavitation-induced damage in tidal turbines Water washing efficiency in axial compressors Biomass gasification for energy recovery Rain erosion on wind turbine blades His work bridges mechanical engineering and environmental science, with applications in renewable energy integration, waste-to-energy systems, and aerospace thermal management. Recent studies emphasize interdisciplinary approaches, including mental health assessment tools for healthcare staff. Publications span 20+ years, with notable contributions to Energy , Applied Thermal Engineering , and Renewable Energy . Ongoing projects explore hybrid energy systems, plasma-based wastewater purification, and predictive modeling for turbine blade aging.

• Renewable Energy Systems
• Fluid Dynamics
• Erosion Prediction in Turbomachinery
• +3 more

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
• +5 more

Francesca Orsola Alfano is a Researcher at the Department of Computer Engineering, Modeling, Electronics and Systems at the University of Calabria (UNICAL). She holds a research grant and contributes to academic programs in Chemical Engineering through her teaching activities. Current role: Research Grant Holder Teaching: Instrumentations and Analysis of Data, Chemical Process Dynamics and Control Her research focuses on computational modeling of particulate systems, particularly through Discrete Element Method (DEM) and CFD-DEM simulations . Key areas include: Triboelectric charging in powder handling Electrostatic interactions in fluidized beds Deagglomeration mechanisms in dry powder inhalers (DPI) Swirl-based particle dispersion Carrier-wall collision dynamics Polydisperse systems Recent publications highlight trends in pharmaceutical engineering applications (e.g., DPI optimization) and electrostatic modeling for industrial particulate systems. Her work bridges chemical engineering and computational physics , with technical implementations in DEM algorithms and fluid-solid interactions .

• Discrete Element Method (DEM) Simulations
• Computational Fluid Dynamics (CFD)
• Triboelectric Charging
• +4 more

Oscar Vento serves as a Fixed-term Assistant Professor in the Department of Energy (DENERG) at Politecnico di Torino, Italy, within the College of Mechanical, Aerospace, and Automotive Engineering. His academic responsibilities span teaching Computational Heat and Mass Transfer at the PhD level in Energetics and Fluid Machines across Bachelor's and Master's programs in Mechanical Engineering since the 2019/20 academic year through current 2025/26 offerings. Research Focus: Dr. Vento's work centers on fluid machinery and thermal systems, with emphasis on internal combustion engines, fuel injection technologies, and sustainable energy solutions. His expertise includes Gasoline Direct Injection (GDI) systems, cavitation phenomena, thermal-hydraulic performance analysis, and real-time control methodologies for fuel systems. Research aligns with UN Sustainable Development Goals 7 (Clean Energy), 9 (Innovation), 11 (Sustainable Cities), and 12 (Responsible Consumption). Publication Trends: Recent publications (2022-2025) demonstrate consistent focus on experimental and numerical investigations of fuel injection dynamics, with increasing emphasis on alternative fuels (ammonia), neural network applications, and transient flow measurement techniques. Research bridges fundamental fluid mechanics with practical automotive engineering challenges, particularly in emission reduction and energy efficiency. Advising and Intellectual Property: Co-supervises PhD candidate Carmelo Baronetto (Energetics program, 39th cycle, 2023-present) Holds national patent: System and method for measuring injected flow rate using a neural network (with Ferrari and Novara) Cod holds national/international patents: Control of the quantity injected into internal combustion engines (with Ferrari, Novara, Violante, Zhang) Research Context: Collaborates extensively within Alessandro Ferrari's research group, with publications spanning ENERGY, FUEL, ENERGIES, and Journal of Fluid Mechanics. Work addresses critical challenges in sustainable transportation through advanced diagnostics, control systems, and alternative fuel combustion research.

• Fluid Machinery
• Thermal and Hydraulic Machines
• Internal Combustion Engines
• +3 more

Borello Domenico is a Full Professor in the Department of Industrial and Environmental Engineering at Sapienza University of Rome. His research focuses on renewable energy systems, fluid dynamics, combustion engineering, and environmental sustainability. He has contributed to advancements in hydrogen production, ammonia combustion, and sustainable waste-to-energy technologies through experimental and numerical methodologies. His work integrates computational fluid dynamics (CFD) and machine learning to optimize energy systems and reduce emissions. Key research areas include green hydrogen production via floating photovoltaic systems, cavitation prediction in hydrodynamic systems, and techno-economic analysis of energy transport. He has developed novel approaches for turbine design, compressor erosion assessment, and biofuel gasification processes. His studies address both technical challenges and policy implications of decarbonizing transportation and industrial sectors. Borello has collaborated on projects involving microbial fuel cells for environmental remediation, chemical looping cycles for carbon capture, and hybrid powertrain efficiency testing. His research emphasizes real-world applications, such as railway energy consumption modeling and microgrid integration of renewables.

• Renewable Energy
• Fluid Dynamics
• Combustion Engineering
• +3 more