Multiphysics modeling Professors and Supervisors | ApplySharif

Find Academic Supervisors

Find and connect with academic supervisors, professors, and scholars for your research journey.

Showing 661-675 of 1,239 supervisors

Profile data may be stale. It is sourced from public faculty pages.

Georgios FourtakasView profile

Lecturer

The University of ManchesterUnited Kingdom

Dr. Georgios Fourtakas is a Lecturer in Civil Engineering at the University of Manchester’s School of Mechanical Aerospace and Civil Engineering. He specializes in meshless methods, computational fluid dynamics (CFD), and smoothed particle hydrodynamics (SPH). His research focuses on advancing SPH formulations for complex fluid-structure interactions, multiphase flows, and high-performance computing (HPC) applications, particularly through the DualSPHysics open-source framework. He holds a PhD from the University of Manchester (2014) and prior industry experience in aeronautical engineering and thermal fluid mechanics. Education: BEng in Aeronautical Engineering, University of Salford MSc in Aeronautical Engineering, Cranfield University MSc in Thermal Power and Fluid Mechanics (Academic Return) PhD in SPH Applications (University of Manchester) Key Research Areas: SPH formulations (Lagrangian, Eulerian-Lagrangian, ALE) GPU/CUDA acceleration for HPC Boundary condition development Non-Newtonian and sediment flows Fluid-structure interaction (e.g., heart valves) His work contributes to UN Sustainable Development Goals through applications in coastal engineering, cardiovascular systems, and nuclear decommissioning. He has reviewed for journals like Advances in Water Resources and Journal of Hydroinformatics . Recent articles highlight innovations in divergence cleaning for SPH, GPU-accelerated thrombus modeling, and poroelasticity simulations. His DualSPHysics project is widely adopted for real-world engineering problems.

Official University Profile

Peter PinskyView profile

Professor

Stanford UniversityUnited States

Peter Pinsky is Professor Emeritus of Mechanical Engineering at Stanford University, where he chairs the Mechanics and Computation Group. His research integrates computational mechanics with biomechanics, focusing on multiphysics problems in human vision and hearing. Key areas include corneal transparency mechanisms, metabolic processes in ocular tissue, and hair-cell mechanics in the inner ear. His work employs molecular, statistical, and continuum mechanics approaches coupled with biology and clinical science. Research spans multiscale modeling, from molecular collagen-proteoglycan interactions explaining corneal resilience to macroscopic 3-D collagen organization predicting clinical outcomes. Current investigations include metabolic transport in corneal tissue, lipid bilayer mechanics, and transdermal drug delivery frameworks. His publications demonstrate consistent focus on biomechanical systems, with recent work emphasizing ocular/cerebral fluid dynamics, corneal metabolism under medical devices, and microgravity effects on physiological systems.

Official University Profile

Sara MoghtadernejadView profile

Associate Professor

California State University, Long BeachUnited States

Dr. Sara Moghtadernejad is an Associate Professor and Undergraduate Advisor in the Department of Chemical Engineering at California State University Long Beach (CSULB), where she has held the position since Fall 2018. In Fall 2023, she was granted early tenure and promoted. She holds a PhD in Mechanical Engineering from Concordia University (Canada), an MS from the University of Queensland (Australia), and a BS in Chemical Engineering from Sharif University of Technology (Iran). Prior to CSULB, she held postdoctoral roles at McGill University’s Biomimetic Surface Engineering Lab and Rutgers University’s NSF Engineering Research Center on Structured Organic Particulate Systems (CSOPS). Her research focuses on multiphase flow, powder technology, additive manufacturing, and pharmaceutical manufacturing, addressing industrial challenges through interdisciplinary approaches. The Multiphase Flow Lab (MFL) she directs emphasizes practical applications, employing advanced experimental setups and numerical/statistical analyses. Key collaborators include the FDA, AFRL, and companies like Johnson & Johnson and 3M. Her work spans pharmaceutical process optimization, metal powder characterization for automotive/aerospace 3D printing, aerospace icing prevention, and oil/gas industry corrosion mitigation. Moghtadernejad’s expertise extends to regulatory affairs and HSE (Health, Safety, Environment), with contributions to risk management frameworks and compliance documentation. She has been recognized as a Beach Mentor (2021) and holds certifications in advanced simulation tools and professional engineering. Her lab collaborates with industries across aerospace, pharmaceuticals, and energy sectors, emphasizing sustainable solutions and technological innovation. Her educational background includes training in HAZOP studies, process simulation (HYSYS), and multiphysics modeling. She has supervised industry partnerships and training programs for FDA and pharmaceutical companies, emphasizing continuous manufacturing and process development. The MFL’s research outputs aim to enhance material performance, operational efficiency, and safety standards across multiple industries.

Official University Profile

Arash SarsharView profile

Assistant Professor

California State University, Long BeachUnited States

Arash Sarshar is an Assistant Professor at the Computer Engineering and Computer Science Department of California State University, Long Beach. Previously, he served as a postdoctoral associate in the Department of Computer Science at Virginia Tech, where he also earned his Ph.D. His academic background includes Master's and Bachelor's degrees in Electrical Engineering. Education : Ph.D. in Computer Science (Virginia Tech), M.S. and B.S. in Electrical Engineering. Sarshar's research focuses on the intersection of machine learning and numerical methods for scientific simulations. He explores physics-informed neural networks, deep operator learning, and time-stepping strategies to enhance computational models, particularly for partial differential equations (PDEs) and stiff systems. His work also extends to applying data science techniques for public health and policy analysis, including studies on diabetes lifestyle interventions. His recent publications highlight trends in PDE-constrained optimization, Bayesian parameter estimation, multirate integration schemes, and parallel computing for numerical methods. Key topics include physics-informed machine learning, time-stepping algorithms, and computational modeling for multiphysics problems.

Official University Profile

John NailboffView profile

Assistant Professor

New Mexico Institute of Mining and TechnologyUnited States

John Nailboff is an academic researcher in the Department of Earth and Environmental Science at the New Mexico Institute of Mining and Technology , where he was promoted to Associate Professor effective August 2025. He holds a Ph.D. in Geology from the University of Michigan (2009) and M.S./B.S. degrees from the University of California, Davis. Ph.D., Geology, University of Michigan (2006-2009) M.S., Geology, University of California, Davis (2003-2005) B.S., Geology, University of California, Davis (1999-2003) His research focuses on integrating geodynamic and surface processes through computational modeling, with applications to subduction systems, rift evolution, ice sheet interactions with volcanism, and fault network dynamics. He develops open-source tools like Landlab and ASPECT for multiphysics Earth simulations. His group has published extensively on 3D modeling of rift systems, subduction dynamics, and software development for geodynamic simulations. Key NSF-funded projects include coupling landscape evolution and geodynamic codes (#2410850) and polar program work on Antarctic volcanism (NSF-OPP 2122248). Scientific awards include: NSF CSSI collaborative award #2410850 NSF Frontier Research in Earth Sciences program award NSF Office of Polar Programs award NSF-OPP 2122248 Statewide California Earthquake Center Award 23202 Current advisees include PhD candidate Daniel Douglas and MS students Prajakta Mohite and Frederick Lacombe . Former collaborators include Tahiry Rajaonarison (now NMT HPC Computing Specialist) and Liang Xue (UC Davis Project Scientist).

Official University Profile

Xianyi ZengView profile

Assistant Professor

Lehigh UniversityUnited States

Xianyi Zeng is an Assistant Professor in the Department of Mathematics at Lehigh University. He holds a Ph.D. in Computational Mathematics from Stanford University (2012), an M.S. in Financial Mathematics from Stanford (2010), and a B.S. in Mathematics from Peking University (2006). His research focuses on numerical methods for partial differential equations, particularly hyperbolic conservation laws and fluid-structure interactions. He has developed innovative frameworks like the hybrid-variable (HV) discretization and contributed to the shifted boundary method (SBM) for compressible fluid dynamics. His work also bridges computational mechanics, mathematical biology (e.g., tumor growth modeling), and high-performance computing. Education: Ph.D., Computational Mathematics, Stanford University (2012) M.S., Financial Mathematics, Stanford University (2010) B.S., Mathematics, Peking University (2006) Research Interests include: Numerical methods for PDEs with complex geometries Hyperbolic conservation laws and shock hydrodynamics Mathematical modeling of tumor dynamics and virotherapy Reduced-order modeling and computational efficiency Recent work emphasizes high-order accuracy, stability, and scalability in simulations of multiphysics problems. His publications span journals like Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering . Teaching includes courses on differential equations at Lehigh, integrating analytical and numerical techniques. He has held faculty positions at UT El Paso (2016–2022) and conducted postdoctoral research at Duke University (2012–2016).

Official University Profile

Uwe MorgnerView profile

Professor

Leibniz University HannoverGermany

Prof. Dr. Uwe Morgner is a Professor of Experimental Physics at the Institute of Quantum Optics, Leibniz University Hannover, within the Faculty of Mathematics and Physics. He holds significant leadership roles including Spokesperson of the PhoenixD Cluster of Excellence, Chairperson of the Leibniz School of Optics and Photonics, and Executive Board member of the Institute of Quantum Optics and Hannover Centre for Optical Technologies (HOT). His research focuses on ultrafast laser systems, nonlinear optics, and quantum optics with applications in photonics and materials processing. Roles and Affiliations: Spokesperson, PhoenixD: Photonics, Optics, and Engineering Chairperson, Leibniz School of Optics and Photonics Executive Board Member, Institute of Quantum Optics and HOT Principal Investigator, Ultrafast Laser Laboratory Education: Prof. Dr. since 2004 at Leibniz University Hannover Habilitation in Physics (2003, Heidelberg) and Photonics (2001, Karlsruhe) Doctorate in Physics (1997, University of Münster) Diploma in Physics (1994, University of Hannover) Research Interests: His work spans ultrafast laser technology, nonlinear optical phenomena, high-harmonic generation, and advanced applications in quantum optics. Key areas include femtosecond laser fabrication of optical components, terahertz photonics, and quantum control of light-matter interactions. Research emphasizes practical engineering solutions (e.g., frequency tripling mirrors) alongside fundamental physics (e.g., attosecond quantum dynamics). Publications: Recent work highlights advancements in nano-optics (e.g., photocurrent harmonics in nanostructures) and ultra-broadband laser systems (e.g., visible NOPOs for tunable UV pulses). His studies on high-harmonic generation provide insights into quantum optical properties and entanglement dynamics. Labs and Teams: Ultrafast Laser Laboratory (his primary research group) Task Group leadership in PhoenixD and HOT initiatives

Official University Profile

Jamie FosterView profile

Professor

University of PortsmouthUnited Kingdom

Professor Jamie Foster is a faculty member in the School of Mathematics and Physics at the University of Portsmouth , affiliated with the Centre for Environmental and Renewable Energy Solutions . Their research focuses on mathematical modeling of physical processes in energy systems, particularly lithium-ion batteries, solar cells, and fluid dynamics. Foster leads a team developing models for battery degradation, charge transport, and energy storage technologies. They are a PhD supervisor and actively collaborate on interdisciplinary projects combining mathematics with engineering, chemistry, and biology. Research Interests: Mathematical modeling of electrochemical systems, continuum mechanics, homogenization techniques, and numerical methods. Key application areas include lithium-ion batteries (electrode mechanics, plating/dendrite formation), perovskite solar cells (charge transport, ion vacancy dynamics), and fluid flow in industrial processes (e.g., coffee brewing). Recent Work Trends: Articles emphasize multiscale modeling of energy storage systems, validation against experimental data, and software development (e.g., IonMonger for solar cells, DandeLiion for battery simulations). The work bridges fundamental mathematics with practical engineering solutions. Advising & Collaborations: Supervises PhD projects on batteries, solar cells, and coffee brewing. Collaborates with engineers, material scientists, and computational experts through interdisciplinary teams. Active in grants focusing on renewable energy solutions and battery technology advancement. Labs/Teams: Involved in the Centre for Environmental and Renewable Energy Solutions , leading projects on sustainable energy systems and mathematical modeling of energy technologies.

Official University Profile

David NERONView profile

Professor

École Normale Supérieure Paris-SaclayFrance

David NERON is a Professor at the Mechanical Engineering Department of ENS Paris-Saclay within Université Paris-Saclay. He has held significant academic leadership roles including Director of the Graduate School for Research and Higher Education (since 2020), President of the French Computational Structural Mechanics Association (CSMA, 2020-2024), and Head of the Master 2 Research program (MS)²SC since 2015. He co-leads the International Research and Training Group CoMeTeN with Prof. U. Nackenhorst, a collaborative effort between ENS Paris-Saclay and the University of Hannover. His research focuses on computational strategies for high-performance computing, including Proper Generalized Decomposition (PGD), model reduction for parametrized problems, and nonincremental strategies like LATIN. Applications span aerospace engineering (e.g., Ariane 5/6 space launcher simulations), fatigue analysis in engine components, and earthquake engineering. He leads the Model Reduction and Dynamics team at LMT (CNRS UMR 8535) and has managed major projects funded by ANR, CNES, and industry partners like SAFRAN and Renault. NERON organizes high-profile conferences such as the 2021 World Congress of Computational Mechanics (ECCOMAS) and chairs workshops on multiscale modeling and reduced-order methods. His work bridges academic research with industrial applications, emphasizing computational efficiency and scalability in engineering simulations.

Official University Profile

Nils KohlView profile

Researcher

Ludwig Maximilian University of MunichGermany

Dr. Nils Kohl is a researcher in the Computational Science Department of Earth and Environmental Sciences at Ludwig-Maximilians-Universität (LMU) München. His work focuses on developing scalable numerical methods and high-performance computing frameworks for geophysical simulations, particularly in mantle convection and geodynamic modeling. He leads or contributes to projects like HyTeG, TerraNeo, and waLBerla, which aim to advance exascale computing and parallel algorithms for complex geophysical systems. His research emphasizes matrix-free finite element methods, multigrid solvers, and hybrid grid optimizations to address challenges in large-scale simulations. Kohl’s contributions include improving code generation for parallel computing, ensuring resiliency in extreme-scale simulations, and enhancing algorithmic efficiency for geodynamic applications. He maintains an active Google Scholar profile documenting his extensive publications on computational geophysics and high-performance frameworks. While no awards or student advisement details are explicitly stated, his involvement in TerraNeo and HyTeG underscores his role in advancing computational infrastructure for geoscience research. His work integrates interdisciplinary approaches to tackle grand challenges in earth system modeling.

Official University Profile

David GREGOIREView profile

Professor

University of Pau and the Adour RegionsFrance

David Grégoire is a Full Professor in Mechanics at Université de Pau et des Pays de l'Adour (UPPA), specializing in failure mechanisms, transport properties, and multiphysics couplings in porous media. He serves as Deputy Head for the Anglet campus and leads the MPPM research group at the Laboratory of Complex Fluids and their Reservoirs (LFCR), a joint UPPA/CNRS/Total lab. His roles include co-leading the Newpores international hub focused on porous material mechanics and collaborating with institutions like Northwestern University and University of Liège. Education: Graduated from École Normale Supérieure (2004), PhD in Mechanics from INSA-Lyon (2008), and habilitation thesis from UPPA (2014). Awards include an honorary membership at the Institut Universitaire de France (2017-2022) and a CNRS Higher Education Chair (2010-2015). Research interests span bio-inspired materials, adsorption-induced deformation, and sustainable construction using waste like seashells and rice husk. Teaching includes courses on poromechanics, computational modeling, and ethics in engineering. Active in grants and collaborations, his lab investigates geomechanics, energy storage, and environmental challenges. Current projects include optimizing shell waste for low-carbon concrete and studying adsorption effects in microporous materials.

Official University Profile

Seyed ShariatipourView profile

Assistant Professor

Coventry UniversityUnited Kingdom

Seyed Shariatipour is an Assistant Professor at Coventry University's CEES School of The Environment, leading the Reservoir Engineering group at the Flow Measurement and Fluid Mechanics Research Centre. He holds a PhD in CO2 Behavior Modelling from Heriot-Watt University (2014) and an MSc in Petroleum Engineering (2010). His research focuses on CO2 geological storage, reservoir simulation, and fluid dynamics in subsurface systems. He has pioneered approaches to enhance CO2 storage security in saline aquifers and depleted reservoirs, emphasizing caprock integrity and injection optimization. Key roles include Co-Chair of the Reservoir Development and Revitalization committee at the American Association of Petroleum Geologists and Associate Membership at Calgary University's Containment & Monitoring Institute. He has supervised over 8 PhD/MSc students and delivered training programs in CCS through UKSA-funded projects. Research interests span CO2-EOR, caprock-aquifer interface dynamics, and wellbore integrity in CO2 environments. Notable contributions include studies on aquifer morphology impacts, convective instability in porous media, and cement degradation mechanisms. He has authored over 66 publications and secured research funding from the Royal Academy of Engineering and UKSA. Awards include the 2016 Low Carbon Hero Award (Istanbul Carbon Summit) and SPE Aberdeen cash prizes (2012-2013). His work integrates numerical simulation with field-scale validation, addressing challenges in CO2 storage site selection, plume migration prediction, and long-term security. Collaborations span institutions in the UK, South Africa, and Canada, emphasizing practical solutions for carbon management.

Official University Profile

Loukopoulos VassiliosView profile

Professor

University of PatrasGreece

Professor Vassilios Loukopoulos holds a faculty position at the Department of Theoretical and Mathematical Physics, Astronomy and Astrophysics, University of Patras, since 2021. Previously, he served as Associate Professor (2016-2021), Assistant Professor (2011-2016), and Lecturer (2007-2011). He teaches courses in Fluid Mechanics, Computational Physics, and specialized MSc topics like Simulation Techniques for Physical Systems. His research focuses on computational fluid dynamics, magnetohydrodynamics, and numerical methods for fluid flow problems, with emphasis on nanofluids and biomedical applications. Collaborations include Max Planck Institute (Germany), KAUST (Saudi Arabia), and EPFL (Switzerland). He serves on editorial boards of journals like Mathematical Problems in Engineering and ISRN Mathematical Physics . Research interests span numerical solutions of Navier-Stokes equations, thermal convection in nanofluids, and biofluid mechanics under magnetic fields. He has developed meshless computational methods for complex fluid dynamics problems. Recent publications explore magnetohydrodynamic flows in porous media and transient bioheat transfer modeling. His work integrates advanced numerical techniques with applications in astrophysical fluid dynamics and medical physics. Education Progression : Professor: University of Patras (2021–present) Associate Professor: University of Patras (2016–2021) Assistant Professor: University of Patras (2011–2016) Lecturer: University of Patras (2007–2011) Grants and collaborations involve institutions like KAUST and the Institute of Chemical Engineering Sciences (Greece). His research team actively publishes in top journals like Journal of Computational Physics and Physics of Fluids , with a focus on developing innovative numerical frameworks for multiphysics problems.

Official University Profile

Fernando Cepero MejiasView profile

Assistant Professor

Coventry UniversityUnited Kingdom

Fernando Cepero Mejias is an Assistant Professor (Research) at Coventry University's Centre for Future Transport and Cities. He holds a BEng+MEng (2014) and PhD (2021) in mechanical engineering from the University of Seville and the University of Sheffield, respectively. His research focuses on composite materials, finite element modelling, and sustainable manufacturing processes. Fernando leads a European project (r-LightBioCom) developing optimization frameworks for eco-efficient composite structures. Education: BEng+MEng (University of Seville, 2014), PhD (University of Sheffield, 2021). Research Interests: Composite material characterization and machining Multiphysics simulations for industrial applications Optimization of material recycling and manufacturing costs Sustainable design of fiber-reinforced polymers Perovskite photovoltaic integration into composites Collaborations: Active in international projects involving 15 institutions across 5 countries. His work contributes to UN Sustainable Development Goals related to affordable clean energy and responsible consumption.

Official University Profile

Lori HathonView profile

Assistant Professor

University of HoustonUnited States

Lori Hathon is an Instructional Assistant Professor at the University of Houston's Cullen College of Engineering, Department of Petroleum Engineering. She previously served as a senior research geologist at Shell International E&P, Inc. Her research focuses on reservoir rock properties, petrography, modeling permeability, and advanced imaging techniques like Micro-CT and FIB/SEM for unconventional reservoirs. She holds a Ph.D. from the University of Missouri. Research Interests include reservoir rock properties, petrography, predictive modeling of permeability and compressibility, and experimental maturation studies of source rocks. Key contributions involve integrating digital rock technology with reservoir characterization and developing protocols for upscaling rock properties. Her publications span 1992–2025, emphasizing geomechanics, petrophysics, and reservoir simulation. Notable works address acoustic anisotropy in sands, multiphysics modeling of carbonates, and stress-dependent rock properties. She advises current graduate students Clara Patricia Palencia Hernandez, Huan Tang, and Alessandra Isabel Simone de Belloso. Laboratory and team affiliations include the Petroleum Engineering Department’s experimental facilities, focusing on core analysis and imaging technologies. Her work bridges geological processes and engineering applications in energy resources.

Official University Profile