Find Academic Supervisors

• Multiscale Modeling
• Fluid Dynamics
• Numerical Analysis
• +3 more

Stefano Piccardo is a Research Fellow at RMIT Europe in Barcelona, Spain, as part of the ALCOAT Project. His affiliation with RMIT Europe highlights his role in advancing computational and mathematical research within the institution. While biographical details are limited, his work centers on multiscale modeling, fluid dynamics, and numerical methods such as hybridizable discontinuous Galerkin (HDG) approaches and NURBS-based geometries. Research Interests: Multiscale Modeling Fluid Dynamics Numerical Analysis Scientific Computing Computational Mathematics Advection-Diffusion-Reaction Systems His recent publications (2023–2025) focus on developing high-order numerical methods to address complex fluid flow problems, including two-fluid Stokes dynamics and advection-diffusion-reaction phenomena. These studies emphasize computational efficiency and accuracy in handling intricate geometries using NURBS and unfitted mesh techniques. No scientific awards or formal grants are explicitly mentioned in the provided texts. Stefano collaborates closely with researchers like Conni G, Perotto S, Giacomini M, and Huerta A, contributing to advancements in hybrid high-order methods and level-set schemes for multiphase flow simulations. He is affiliated with RMIT Europe’s research group, working on projects like ALCOAT that bridge theoretical and applied computational science.

Jacopo BuongiornoView profile

Professor

• Nuclear Energy
• Small Modular Reactors
• Microreactors
• +6 more

Jacopo Buongiorno is the Battelle Energy Alliance Professor of Nuclear Science and Engineering at MIT, serving as Director of the Center for Advanced Nuclear Energy Systems (CANES) and Director of Science and Technology at the MIT Nuclear Reactor Laboratory. His affiliations include MIT's School of Engineering and the Department of Nuclear Science and Engineering. He is a member of the U.S. National Academy of Engineering (2024) and a Fellow of the American Nuclear Society (ANS). His research focuses on advanced nuclear reactor design, reactor thermal-hydraulics, and safety. Notable projects include developing offshore floating nuclear power plants, nuclear batteries, and the Future of Nuclear Energy in a Carbon-Constrained World study. Buongiorno has published over 110 journal articles and holds patents in nuclear applications, including nanofluids and ultra-low thermal-conductivity materials for diving suits. He teaches courses in thermo-fluids and nuclear reactor engineering, receiving awards like the MIT MacVicar Faculty Fellowship (2014) and ANS Landis Award (2011). His advisory roles include the U.S. Secretary of Energy's Space Working Group and the Naval Studies Board. Key collaborations involve Core Power, Idaho National Laboratory, and projects like Taiwan’s Innovative Green Economy Roadmap (TIGER). Buongiorno’s work emphasizes nuclear innovation for decarbonization, with contributions to hydrogen production, microreactors, and nuclear energy policy. His labs and teams, such as CANES, drive transformative technologies for global energy challenges.

Shaolei GaiView profile

Researcher

• Multiphase Flow
• Energy Storage
• Heat and Mass Transfer
• +3 more

Dr. Shaolei Gai is a Researcher at the School of Engineering, University of Newcastle, Australia. His work focuses on multiphase flow dynamics, energy storage systems, and heat/mass transfer phenomena. He holds a PhD in Chemical Engineering (2021) from the University of Newcastle, preceded by Bachelor and Master degrees in Aeronautical Engineering from Shenyang Institute of Aeronautical Engineering, China. Since 2022, he has been affiliated with the Priority Research Centre for Energy Technologies & Utilisation. Research interests include computational fluid dynamics (CFD), energy conversion technologies, and ultrasonic-driven phase change processes. His recent work explores hybrid buoyancy-compressed air energy storage systems and the role of cavitation bubbles in ice nucleation. He has contributed to experimental and theoretical studies on multiphase flow in microreactors and slurry systems. Publications highlight innovations in energy storage efficiency, bubble dynamics under ultrasonic fields, and lattice Boltzmann modeling of freezing processes. Collaborations with industry and cross-disciplinary teams underscore his focus on practical applications of fundamental research.

Anne ObermannView profile

Lecturer

• Seismology
• Geothermal Energy
• Hydrogeology
• +3 more

Dr. Anne Obermann is a Lecturer at the Department of Earth and Planetary Sciences at ETH Zürich, Switzerland. She is affiliated with the Schweiz. Erdbebendienst (SED) and conducts research at the Bedretto Underground Laboratory for Geosciences and Geoenergies (BULGG). Her work focuses on seismic monitoring, geothermal energy systems, and hydraulic stimulation experiments. Key projects include CO2 mineral storage characterization at Iceland's geothermal sites and real-time seismic data processing using tools like DUGseis. Research interests revolve around the integration of geophysical imaging techniques (seismic tomography, noise interferometry) with hydro-mechanical processes in subsurface environments. She has led studies on induced seismicity, reservoir engineering, and fault structure analysis in fractured rock systems. Notable contributions include developing monitoring frameworks for geothermal reservoirs and evaluating stress heterogeneity impacts during stimulation. Publications highlight advancements in microseismic event detection using deep learning, multi-scale monitoring systems, and CO2 storage integrity. Collaborations involve international projects like CarbFix2 (Iceland) and BedrettoLab (Switzerland). Her work bridges theoretical geophysics with applied engineering solutions for sustainable energy and subsurface resource management.

Trine MykkeltvedtView profile

Researcher

• Numerical Simulation
• Computational Geosciences
• Flow and Transport in Porous Media
• +5 more

Trine Mykkeltvedt is a Researcher II at NORCE (formerly IRIS) specializing in numerical simulation and modeling of flow and transport in porous media. She earned her master's and doctorate in applied mathematics from the University of Bergen (2014) and joined NORCE in 2015. Affiliated with the "Computational Geosciences and Modelling" group Department of Energy and Technology Her research focuses on CO2 storage, hydrogen storage, and enhanced oil recovery (EOR) through reservoir modeling. Applications include carbon capture and storage (CCS), subsurface energy systems, and environmental flow dynamics. Recent publications highlight her work on convective mixing in CO2 storage (2025), pressure interference effects (2024), and hydrogen leakage quantification (2024). Her methodological expertise includes WENO schemes, unstructured grids, and multiphase flow modeling. She contributes to projects like HyPE (Hydrogen Storage) and CSSR (Sustainable Subsurface Resources) while applying computational methods to address climate challenges through subsurface energy solutions.

Yanzhi ZhangView profile

Professor

• Fractional Partial Differential Equations (PDEs)
• Scientific Computing
• Numerical Analysis
• +6 more

Dr. Yanzhi Zhang is a Professor of Mathematics at the Department of Mathematics and Statistics, Missouri University of Science and Technology (Missouri S&T), where she has held academic positions since 2010. She earned a Ph.D. in Mathematics from the National University of Singapore and a B.Sc. in Applied Mathematics (with a Computer Science minor) from Chongqing University. Her research spans computational and applied mathematics, focusing on fractional PDEs, nonlocal models, machine learning applications in materials science and business, Bose-Einstein superfluids, and seismic wave inversion. Dr. Zhang has been awarded the Faculty Excellence Award from Missouri S&T and other accolades. Her work is supported by grants from the National Science Foundation, including projects on fractional viscoacoustic wave equations, Bose-Einstein superfluids, and dispersive wave equations. She advises Ph.D. students in interdisciplinary research, such as Yumeng Wang (machine learning for eye-tracking data) and Yixuan Wu (seismic inversion). Her research integrates mathematical rigor with computational innovation, addressing real-world challenges in geophysics, materials science, and business analytics. Collaborations with industry and academia enhance her contributions to data-driven modeling and open-source strategies for digital transformation.

Wael H. AhmedView profile

Professor

• Multiphase Flow Analysis
• Thermo-Fluid Dynamics
• Energy Systems
• +4 more

Dr. Wael H. Ahmed is a Professor at the University of Guelph's Department of Mechanical Engineering. His research focuses on multiphase flow analysis for energy, water, and food systems, including thermo-fluid dynamics of mechanical systems. He teaches undergraduate courses such as Fluid Mechanics, Thermodynamics, and Heat Transfer, and graduate courses on phase change heat transfer and two-phase flow. His research lab, the Flow, Energy and Dynamics Solution (FEADS) lab, collaborates with industry to develop sustainable solutions for mechanical systems, addressing fluid-structure interaction challenges. Current projects involve optimizing airlift pumps for aquaculture, biogas production, and CO2 capture. Dr. Ahmed emphasizes hands-on learning, engaging students in real-world engineering problems through 'Learning by Doing' initiatives. Key research areas include multiphase flow dynamics, two-phase flow instabilities, and energy-efficient technologies. He has developed innovative pumping systems and sensors for industrial applications, such as the FloNergia airlift pump commercialized with academic-industry partnerships. His work integrates computational fluid dynamics (CFD), experimental validation, and machine learning for flow pattern identification. Recent projects explore applications in nuclear power plant safety, catalytic converter flow analysis, and sustainable energy systems design.

• Applied Mathematics
• Calculus of Variations
• Partial Differential Equations (PDEs)
• +3 more

Simon Gabriel is a researcher affiliated with the Institute for Analysis and Numerical Analysis at the University of Münster. His work focuses on applied mathematics, calculus of variations, and partial differential equations with applications in material science and micromagnetism. He investigates phenomena such as magnetic skyrmions, phase transformations in shape memory alloys, and energy minimization problems in thin films. His research combines rigorous mathematical analysis with interdisciplinary applications in physics and engineering. He collaborates with institutions like the Applied Analysis group and contributes to projects exploring rigidity phenomena and microstructure formation. His teaching includes advanced seminars on geometric measure theory and calculus of variations. Affiliations : Institute for Analysis and Numerical Analysis, Faculty of Mathematics and Computer Science Research Interests : Micromagnetism, nonlocal isoperimetric problems, mean curvature flow, and variational methods in material science Key contributions include studies on magnetic skyrmions under confinement, rigidity in phase transformations, and convergence analysis of phase field models. His work bridges mathematical theory with practical applications in understanding material behavior at micro and nano scales.

• Partial Differential Equations
• Interface Evolution Problems
• Fluid Mechanics
• +2 more

Sebastian Hensel is a Researcher at the Hausdorff Center for Mathematics (HCM) at the University of Bonn since September 2021, under the mentorship of Prof. Tim Laux. He holds a PhD in Mathematics from the Institute of Science and Technology Austria (IST Austria), where he studied under Prof. Julian Fischer. His research focuses on partial differential equations, particularly interface evolution problems, fluid mechanics, stochastic homogenization, and stochastic PDEs. He has contributed to topics like mean curvature flow, free boundary problems, and weak-strong uniqueness principles. Education includes a PhD (2021, IST Austria), Master of Science in Mathematics (2017, Humboldt-Universität zu Berlin), and Bachelor degrees in Mathematics (2015, Freie Universität Berlin) and Business Administration (2013, Freie Universität Berlin). His work explores geometric PDEs, including multiphase systems, contact angle dynamics, and stochastic influences. Key contributions include stability analyses of evolving interfaces and convergence studies of phase-field models. His articles often bridge analytical rigor and applied mathematics, addressing challenges in nonlinear dynamics and calculus of variations. He has presented research at international conferences such as FBP 2020, SIAM MS20, and Equadiff 2019. His academic activities include seminars at institutions like TU Chemnitz, University of Regensburg, and Max-Planck Institute for Mathematics in the Sciences, Leipzig.

• Computational Fluid Dynamics
• Atmospheric Vortex Dynamics
• Multi-layer Fluid Systems
• +3 more

Dr. Jason Cosgrove is a Lecturer in Mathematics at the School of Natural Sciences, University of Tasmania. His academic career focuses on computational approaches to fluid dynamics and mathematical modeling of atmospheric phenomena. Dr. Cosgrove's research interests center on computational fluid dynamics with particular emphasis on: Computational methods in fluid flow, heat and mass transfer Atmospheric vortex dynamics Multi-layer fluid systems Numerical simulation techniques His publication record from 2012-2022 shows consistent scholarly output examining selective withdrawal processes in multi-layer fluid systems, atmospheric vortex behavior, and the formation of complex fluid patterns. His work bridges applied mathematics with atmospheric science, contributing to our understanding of geophysical fluid phenomena through computational modeling approaches. Dr. Cosgrove actively contributes to undergraduate mathematics education at the University of Tasmania, coordinating several foundational mathematics units that prepare students for advanced studies in science and engineering disciplines.

Wim van SaarloosView profile

Professor

• Theoretical Physics
• Statistical Physics
• Condensed-Matter Physics
• +7 more

Prof. Wim van Saarloos is a Professor of Theoretical Physics at Leiden University, Netherlands. He holds administrative roles as Vice President and President-elect of the Royal Netherlands Academy of Arts and Sciences (KNAW) and previously led the National Organisation for Scientific Research (NWO) and the FOM Foundation. His research focuses on theoretical physics, including non-equilibrium pattern formation, soft matter, and front propagation dynamics. He has supervised 15 PhD students and 20 postdocs. Key honors include the Physica Prize and Fellow of the American Physical Society. Education: B.Sc. in Physics (cum laude, Delft University of Technology, 1978–1973), Ph.D. in Theoretical Physics (cum laude, Leiden University, 1982). Professional roles include Director of the Lorentz Centre (1997–2009) and research at AT&T Bell Labs (1984–1990). His work bridges fundamental physics and applied problems in granular media and complex fluids. Research highlights include foundational studies on front propagation into unstable states, published in a seminal 2003 review. His recent articles explore bubble dynamics, colloidal systems, and jamming transitions. He has over 155 peer-reviewed publications, cited 6,472 times (h-index 42).

David BaylessView profile

Professor

• Energy Conversions
• Particulate-Laden Fluid Mechanics
• Air Pollution Control
• +5 more

Dr. David Bayless is a Professor and Department Chair of Mechanical and Aerospace Engineering at Missouri S&T. He also serves as Interim Director of the NASA Missouri Space Grant Consortium. He holds a B.S. from University of Missouri–Rolla (1987), M.S. from University of Central Florida (1992), and Ph.D. from University of Illinois at Urbana-Champaign (1995). His research focuses on energy and environmental technology creation, including lunar resource utilization, algal biotechnology, and pollution control. With over $22M in research funding, he has pioneered technologies like ECO 2 Capture Inc., a startup leveraging his intellectual property. He is a Professional Engineer (MO/OH), Fellow of ASME and NAI, and recipient of the 2016 Outstanding Engineering Educator Award. Education : BSME ’87 (Missouri S&T), MS ’92 (UCF), Ph.D. ’95 (UIUC) Affiliations : Missouri S&T, NASA Missouri Space Grant Consortium Key Roles : Department Chair, Interim Director, Startup Founder His research integrates multiphase fluid mechanics, carbon recycling, and aerospace materials. Innovations include lunar regolith processing systems, magnetic-electrostatic separation techniques, and bioengineered algae solutions for CO₂ sequestration. Over 60 peer-reviewed publications and multiple patents reflect his contributions to energy systems, environmental remediation, and engineering pedagogy. Dr. Bayless’s leadership education initiatives include creating the ABET-accredited Energy Engineering program at Ohio University and founding ASEE’s Engineering Leadership Development Division. His work emphasizes interdisciplinary collaboration and real-world problem-solving in engineering education.

• Solidification Modeling
• Transport Phenomena
• Computational Mechanics
• +5 more

Dr. Sergio Felicelli is a Professor and Chair in the Department of Mechanical Engineering at the University of Akron's College of Engineering and Polymer Science. He holds a Ph.D. in Mechanical Engineering from the University of Arizona (1991) and B.S./M.S. in Nuclear Engineering from Instituto Balseiro (1985). His expertise spans Solidification Modeling, Transport Phenomena, and Computational Mechanics. Dr. Felicelli has authored pioneering works on computer modeling of freckle segregation during solidification and has directed projects on casting, additive manufacturing, and parallel simulations of microstructures. His research focuses on advancing computational methods for material processing, including dendritic solidification under microgravity conditions, multiphase flow dynamics, and large-scale parallel simulations. He has secured $15M in grants through 23 funded projects and is an ASME Fellow. His work integrates experimental validation with numerical modeling, particularly using lattice Boltzmann and phase field methods. Dr. Felicelli has led international collaborations on casting defects and serves in academic leadership roles. Education: Ph.D., Mechanical Engineering, University of Arizona, 1991 B.S./M.S., Nuclear Engineering, Instituto Balseiro, 1985 Dr. Felicelli's research trends emphasize computational modeling of materials under extreme conditions, with recent articles addressing microgravity solidification effects, multiphase interactions, and high-performance computing for microstructure prediction. His work bridges fundamental science and industrial applications in additive manufacturing and energy storage systems. Awards: ASME Fellow (prestigious honor in mechanical engineering) Grants & Funding: Over $15M secured through 23 grants, focusing on solidification science and advanced manufacturing technologies. He advises on courses such as Heat Transfer and Numerical Methods, and his lab explores cutting-edge techniques in computational materials science. Collaborations include NASA and international institutions, with a focus on solving complex industrial and aerospace material challenges.

Andreas BuschView profile

Professor

• GeoEnergy
• Carbon Capture and Storage (CCS)
• Subsurface Energy Storage
• +7 more

Andreas Busch is a Professor of Earth Sciences – GeoEnergy at Heriot-Watt University, where he serves as co-Director of The Lyell Centre and leads the GeoEnergy theme in the Global Research Centre iNetZ+. He is affiliated with the Institute of GeoEnergy Engineering within the School of Energy, Geoscience, Infrastructure and Society. He is actively involved in research, teaching, and leadership roles, including MSc program co-leadership and editorial board memberships. Education: BSc (Hons) in Economic Sedimentology, University of Stellenbosch, RSA (1998) Diploma (MSc) in Geology, Philipps-University Marburg, Germany (2001) PhD in Geology, RWTH Aachen University, Germany (2005) Habilitation (Dr. Habil), RWTH Aachen University (2014) His research focuses on hydro-chemical-mechanical coupling in CO 2 storage, unconventional reservoirs, and subsurface energy systems. He integrates field studies, laboratory experiments on low-permeability rocks, and numerical modeling to understand fluid-rock interactions and pore-scale mechanisms. His work supports the UN Sustainable Development Goals related to climate action and clean energy. The recent articles highlight a strong trend in carbon capture and storage (CCS) and underground hydrogen storage , with studies on caprock integrity, permeability evolution in sandstones, and regional screening of saline aquifers. These works reflect his expertise in geomechanics, reservoir characterization, and sustainable energy solutions. Scientific Awards: Best Instructor 2022 Recognition (2023) InterPore Rosette (2023) Hans-Cloos Award, German Geological Society (2009) Best Paper Award, Society of Organic Petrologists (2004) Professor Dr. Karl-Heinrich Heitfeld Award (2005) Andreas Busch has held significant leadership roles, including Deputy Director of Research and interim Director of the Institute of GeoEnergy Engineering. He has been active in editorial work, serving on the boards of Marine and Petroleum Geology , Geomechanics and Geophysics for Geo-Energy and Geo-Resources , and the International Journal of Greenhouse Gas Control . He has also convened EAGE Shale Workshops and contributed to national and international research discourse through media and outreach. He leads a well-equipped research lab with facilities including a micromeritics porosimeter, permeameter, shell flow bench, and sorption analyser, supporting experimental studies in geoenergy systems.

Prince ChidyagwaiView profile

Associate Professor

• Numerical Analysis
• Scientific Computing
• Computational Fluid Dynamics
• +5 more

Prince Chidyagwai is an Associate Professor of Mathematics at Loyola University Maryland, specializing in Numerical Analysis and Scientific Computing. His primary affiliation is the Department of Mathematics and Statistics. He holds a Ph.D. in Computational and Applied Mathematics from Rice University (2010), an M.A. in Mathematics from the University of Pittsburgh (2006), and dual B.S./B.A. degrees in Mathematics (Honors) and Computer Science from Lafayette College (2005). His research focuses on advanced numerical methods for coupled flow systems, including discontinuous Galerkin (DG) methods, finite element methods, and finite volume techniques applied to problems in porous media, fluid dynamics, and radiative transfer. Key areas include Stokes-Darcy coupling, multiphase flow, and the development of efficient multirate and decoupling algorithms for complex systems. Chidyagwai's publications span topics such as multilevel decoupling methods, constraint preconditioning for coupled systems, and high-order schemes for radiation transport. His work emphasizes practical applications in reservoir simulation, environmental flow modeling, and industrial fluid dynamics. Despite his prolific output, no scientific awards are explicitly mentioned in the provided materials. Teaching responsibilities include courses like Ordinary Differential Equations and Programming in Mathematics. His academic contributions extend to collaborative projects at the interface of computational mathematics and engineering, though no specific lab affiliations or grant details are disclosed.