Find Academic Supervisors

Oyuna RybdylovaView profile

Senior Lecturer

• Spray Dynamics
• Multiphase Flows
• Heat and Mass Transfer
• +4 more

Oyuna Rybdylova is a Senior Lecturer at the School of Computing, Engineering and Mathematics, University of Brighton, and part of the Advanced Engineering Centre. She holds a PhD in Physics and Mathematics from Lomonosov Moscow State University (2012). Her research focuses on multiphase flow dynamics, with expertise in droplet dynamics, heat/mass transfer, and numerical modelling. She has contributed to projects on spray simulation, geomechanics, and fluid-structure interactions. Key affiliations include the Sir Harry Ricardo Laboratories and collaborations across multiple universities. Her work is supported by grants from EPSRC, UKRI, and the Royal Society. She actively supervises PhD students in mathematical and numerical modelling of multiphase systems, with completed student Dr Abbas Al-Ameeri and current student Mr Zuhaib Nissar. Research interests span: Gas-droplet interactions Evaporation and heating of droplets Lagrangian modelling approaches Shock wave particle focusing Her recent projects include the TITANZ initiative (Net Zero shipping applications), Next-Gen Spray Simulation Models, and studies on nanofluid evaporation. She has pioneered the Fully Lagrangian Approach (FLA) for dispersed multiphase flows, implemented in OpenFOAM and ANSYS Fluent.

• Fluid Dynamics
• Computational Fluid Dynamics
• Chemical Engineering
• +3 more

Orest Shardt is an Associate Professor in the Department of Chemical Sciences at the University of Limerick. His research focuses on computational fluid dynamics, numerical methods for engineering problems, and colloidal science. He specializes in developing advanced numerical techniques for solving complex fluid flow and particle dynamics challenges. His work addresses areas such as electric double layer effects on suspension viscosity, particle-wall collision mechanics, and rennet-induced coagulation processes in food systems. Shardt's methods include lattice-Boltzmann approaches, meshfree collocation schemes, and finite volume techniques. His recent publications explore topics ranging from non-Newtonian fluid behavior to population balance modeling in chemical engineering processes. While no specific awards are listed, his contributions reflect impactful work in computational methodologies for multiphase flow systems.

Benjamin SeiboldView profile

Professor

• Applied and Computational Mathematics
• Traffic Flow Modeling
• Radiative Transfer
• +7 more

Benjamin Seibold is a Professor of Mathematics and Physics at Temple University's College of Science and Technology. He leads the Center for Computational Mathematics and Modeling and holds dual appointments in Mathematics and Physics. His research focuses on Applied and Computational Mathematics, with expertise in high-order numerical methods, traffic flow modeling, radiative transfer, and invasive species dynamics. He has been at Temple since 2009, previously serving as an Instructor at MIT and earning his Dr.rer.nat. from the University of Kaiserslautern. His education includes a Diplom in Technomathematics (1997–2000) and a PhD in Applied Mathematics (2006) from the University of Kaiserslautern, with postdoctoral work at Lawrence Berkeley Lab and MIT. He has received prestigious awards such as the 2013 Greenshields Prize and the 2024 IEEE ITS Institutional Lead Award. His work spans computational modeling, numerical analysis, and real-world system analysis. Research Interests: Traffic flow modeling and control using autonomous vehicles Level set methods and jet schemes for interface evolution Meshfree/particle methods for fluid dynamics Radiative transfer moment approximations Invasive species population modeling (e.g., spotted lanternfly) Key Contributions: Developed the Particleclaw and StaRMAP software tools Advanced understanding of jamiton dynamics in traffic Received over $10M in NSF/USDA grants for traffic, radiative transfer, and invasive species projects Lab Activities: Directs Temple's Applied Mathematics and Scientific Computing Group, collaborating with global institutions on traffic control, radiation transport, and ecological modeling.

Prashant K. JhaView profile

Assistant Professor

• Fracture Mechanics
• Mechanics of Solids and Granular Media
• Multiphysics and Multiscale Modeling
• +5 more

Prashant K. Jha is an Assistant Professor in the Department of Mechanical Engineering at the South Dakota School of Mines and Technology. Previously, he served as a Mechanical Engineering Lecturer (equivalent to Assistant Professor) at the University of Portsmouth and held postdoctoral positions at Louisiana State University and the Oden Institute at UT Austin. PhD in Civil and Environmental Engineering (2016), Carnegie Mellon University ME in Mechanical Engineering (2012), Indian Institute of Science BE in Mechanical Engineering (2010), Govt. Engineering College Raipur His research focuses on computational mechanics of materials, combining peridynamics , machine learning , and nonlocal modeling to study: Fracture mechanics in soft and granular materials Multiphysics and multiscale simulations Neural operators for scientific computing Uncertainty quantification in material models Design of functional materials under extreme conditions Applications to biomedical imaging and tumor growth Recent publications emphasize neural operator surrogates with error correction, peridynamic modeling of granular media, and multi-fidelity simulations. His work has appeared in journals like CMAME , ARMA , and JCP . NSF ERI award (2025) for multi-fidelity modeling SDBOR CRG award (2025) for magnetic soft materials He advises students in computational mechanics and serves on editorial boards of Journal of Peridynamics and Nonlocal Modeling , JOSS , and Scientific Reports . The CEAD Lab develops methods for fracture analysis, smart material design, and nonlocal neural operator frameworks.

Marc Alexander SchweitzerView profile

Professor

• Numerical Methods
• Computational Mechanics
• Meshfree Methods
• +4 more

Marc Alexander Schweitzer is a Professor of Mathematics at the University of Bonn and affiliated with Fraunhofer SCAI. His work focuses on numerical methods and computational mechanics, particularly meshfree methods, peridynamics, and algebraic multigrid techniques. He contributes to advancing computational tools for engineering and materials science applications. Research interests include partition of unity methods, multiscale modeling, fracture mechanics, and efficient linear solvers. His work integrates mathematical theory with practical computational challenges, such as adaptive algorithms and parallel computing. Publications highlight contributions to peridynamic fracture models, scalable solvers for material design, and visualization of fracture progression in particle-based systems. Collaborative efforts with Fraunhofer SCAI emphasize industrial applications and algorithmic innovation.

Du HejunView profile

Associate Professor

• Compliant mechanisms and topology optimization
• Miniaturized smart sensors and actuators
• Micro-electro-mechanical systems (MEMS)
• +7 more

Du Hejun is an Associate Professor at the School of Mechanical & Aerospace Engineering, Nanyang Technological University (NTU), Singapore. He holds a BEng and MEng from Nanjing University of Aeronautics and Astronautics (1983, 1986) and a PhD from Imperial College London (1991). His professional journey includes roles as Research Fellow, Lecturer, Senior Lecturer, and eventually Associate Professor at NTU since 1999. He has led over 10 research grants totaling S$4 million from ASTAR, ARC, and AcRF, and has published over 140 journal papers with an H-index of 16. His research focuses on compliant mechanisms, topology optimization, MEMS, and system dynamics , with applications in smart sensors, actuators, and advanced manufacturing. Notable achievements include developing microfluidic oscillators, piezoelectric energy harvesters, and bio-inspired solar steam generators. Education: BEng/MEng (Nanjing U of Aeronautics), PhD (Imperial College London) Grants: Over 10 grants (S$4M+) from ASTAR, ARC, AcRF Awards: Teacher of the Year 1999 (MPE, NTU) Key Research Themes: Additive manufacturing, nanomaterials, MEMS, and energy harvesting

Wei WuView profile

Professor

• Geomechanics
• Granular Materials
• Constitutive Modeling
• +7 more

Wei Wu is a Full Professor and Head of the Institute of Geotechnical Engineering at BOKU University, within the Department of Structural Engineering and Natural Hazards. He leads research in geomechanics, numerical modeling, and AI applications in geotechnical engineering. Doctor of Engineering (Dr.-Ing.), Karlsruhe University, Germany (1986–1993) MSc in Geotechnical Engineering, Xian University of Technology, China (1982–1985) Bachelor in Civil Engineering, Wuhan University, China (1978–1982) Professor Wu's research focuses on geomechanics, granular materials, constitutive modeling, and numerical simulations for landslides, debris flows, and tunneling. His work integrates SPH, DEM, and hypoplastic models to simulate complex soil behavior. He also explores soil bioengineering and AI applications in geotechnics . His recent publications emphasize failure mechanisms, uncertainty analysis, and large deformation modeling using advanced computational methods. His recent articles highlight a strong trend in developing and applying hypoplastic constitutive models combined with meshfree methods (SPH, DEM) for simulating granular flows, landslides, and soil-structure interaction. Research spans from micro-scale particle behavior to macro-scale geohazard modeling , with increasing integration of machine learning and probabilistic frameworks . Advanced Grant, European Research Council, 2024 Gold medal, Technical University of Brno, Czech Republic, 2024 Professor Wu has supervised over 30 PhD and 100 MSc theses . He leads major research projects funded by the European Research Council (ERC) , European Commission , and Austrian Science Foundation , including the €2.5M ERC Advanced Grant 'Modeling transient granular flow' (2024–2029). He serves as founding Editor-in-Chief of Acta Geotechnica and leads the Otto Pregl Foundation for Fundamental Geotechnical Research. He heads the Institute of Geotechnical Engineering at BOKU and co-leads research on AI in Geotechnical Engineering . His team conducts advanced numerical simulations and experimental validations, particularly in landslide dynamics, tunnel stability, and root-reinforced slopes .

Jesse SherburnView profile

Adjunct Professor

• Meshfree Methods
• Computational Mechanics
• Impact Engineering
• +6 more

Jesse Sherburn is an Adjunct Professor at Mississippi State University, Maranatha Baptist University, and Liberty University, with a focus on computational mechanics and materials science. He holds a Ph.D. in Mechanical Engineering from Mississippi State University (2010) and has over a decade of experience in research and teaching. Ph.D., Mechanical Engineering, Mississippi State University, 2010 M.S., Mechanical Engineering, Mississippi State University, 2007 B.S., General Studies with Applied Science Emphasis and Math Minor, Maranatha Baptist University, 2004 Sherburn's research spans meshfree methods , impact engineering , and concrete technology , with applications in projectile penetration, shock wave modeling, and structural analysis. His work integrates advanced computational techniques to study damage mechanics in ultra-high performance concrete and other materials. His publications highlight expertise in multiscale modeling , Lagrangian/semi-Lagrangian coupling , and numerical simulations of extreme deformation problems. Key contributions include developing the Nonlinear Meshfree Analysis Program (NMAP) and analyzing airblast propagation in enclosed structures. Sherburn has collaborated extensively with the US Army Engineer Research and Development Center and contributed to technical reports on hardened installation protection systems, predictive modeling, and dynamic structural response.

Farah AlkhatibView profile

Lecturer

• Biomechanics
• Finite Element Analysis
• Biomedical Engineering
• +2 more

Farah Alkhatib is a Lecturer and Research Officer in Mechanical Engineering at the University of Western Australia. She specializes in computational biomechanics and finite element analysis of vascular systems. Her research develops patient-specific modeling approaches for abdominal aortic aneurysms, focusing on rupture risk assessment and surgical planning. She won the Graduate Research School Dean's List award for her PhD thesis and has contributed to open datasets for biomechanical research. Dr. Alkhatib's publications demonstrate expertise in mesh generation techniques, uncertainty quantification in medical image segmentation, and nonlinear biomechanical analysis. She develops computational methods to improve the accuracy of vascular stress predictions and translate biomechanical research into clinical applications.

Min Hyung ChoView profile

Associate Professor

• Computational Mathematics
• Applied Mathematics
• Electromagnetics
• +2 more

Min Hyung Cho is an Associate Professor in the Department of Mathematical Sciences at the University of Massachusetts Lowell (UMass Lowell). He specializes in computational mathematics, applied mathematics, electromagnetics, numerical solutions of PDEs, and scientific computing. His research focuses on developing high-performance numerical algorithms for wave scattering problems in complex media, including layered media and metamaterials. He has contributed to integral equation methods, fast multipole methods (FMM), and volume integral equation techniques for solving Helmholtz and Maxwell equations in layered environments. Cho holds a Ph.D. in Applied Mathematics from the University of North Carolina at Charlotte. He has received the Teaching Excellence Award (2017) from UMass Lowell. His work has been supported by grants such as the NSF Collaborative Research grant (2020) and a Simons Foundation Collaboration Grant (2016). Cho’s recent research emphasizes spectrally-accurate numerical methods for acoustic scattering, robust fast direct solvers for quasi-periodic problems, and efficient algorithms for layered media Green’s functions. His publications span journals like Journal of Computational Physics , SIAM Journal on Scientific Computing , and Computer Physics Communications . His academic activities include organizing minisymposia at conferences like ICIAM and presenting at institutions such as Yale University and the University of Arizona. He also contributes to educational initiatives in differential equations and computational mathematics.

Timon RabczukView profile

Professor

• Computational Mechanics
• Fracture Mechanics
• Fluid-Structure Interaction
• +5 more

Timon Rabczuk is a Professor and Chair of Computational Mechanics at Bauhaus University Weimar, Germany. His research focuses on computational methods for moving boundary/interface problems with applications in fracture mechanics, fluid-structure interaction, inverse analysis, and topology optimization. Develops meshfree and peridynamics methods for dynamic fracture simulation Created cracking particles method (CPM) and dual-horizon peridynamics (DH-PD) Works on immersed particle methods (IPM) for fluid-structure interaction Current research includes computational materials design of piezoelectric/flexoelectric nanostructures and quantum spin Hall effect-based phononic topological insulators using isogeometric analysis and level set methods. Based at the Institute of Structural Mechanics (ISM) with expertise in thin shell formulations and topological optimization.

• Computational Geomechanics
• Hydro-mechanical Modeling
• Numerical Methods
• +3 more

Miguel Martín Stickle serves as a University Professor in the Department of Mathematics and Computer Science Applied to Civil and Naval Engineering at the Polytechnic University of Madrid. He holds active memberships in the Computational Mechanics Group, Center for Research in Computational Simulation (CCS), and R&D+i Center for Smart and Sustainable Civil Infrastructure (CIVILis), while also preparing to assume the role of Deputy Director for the International Doctoral School (EID) starting June 2025. His academic foundation includes a Mathematics degree from Complutense University of Madrid and a PhD from the Polytechnic University of Madrid. Dr. Martín Stickle's research centers on Computational Geomechanics , specializing in hydro-mechanical modeling of granular porous media under large deformations. He pioneers numerical techniques including Finite Element Method (FEM), Smoothed-Particle Hydrodynamics (SPH), Material-Point Method (MPM), and Optimal Transportation Meshfree (OTM) to simulate flow-type landslides for disaster mitigation. His work bridges Civil Engineering and Applied Mathematics with direct societal impact in infrastructure safety. As Principal Investigator for the Ministry of Science-funded project "Coupled particle-based simulation models: application to rapid landslides and waves generated in reservoirs, lakes and bays" (PID2019-105630GB-I00), he has secured competitive grants under H2020, FP7, and Spain-Italy integrated actions, complemented by 20+ international conference presentations. His institutional engagement spans the Computational Mechanics Group and CCS, driving collaborative advancements in computational simulation for civil engineering challenges.