Find Academic Supervisors

Björn Liljegren-SailerView profile

Researcher

• Computational Methods for PDEs
• Model Order Reduction
• Port-Hamiltonian Systems
• +3 more

Björn Liljegren-Sailer is a Research Scientist at the Johann Radon Institute for Computational and Applied Mathematics (RICAM), part of the Austrian Academy of Sciences (OEAW), and an employee at MathConsult. His research focuses on computational methods for partial differential equations (PDEs), model order reduction, and port-Hamiltonian systems, with applications to gas networks, numerical analysis, and optimization. He holds a PhD in Mathematics from the University of Trier (2020) and a Master of Science in Technomathematics from Friedrich-Alexander-Universität Erlangen-Nürnberg (2015). Dr. Liljegren-Sailer’s work emphasizes structure-preserving numerical methods and system-theoretic approaches. Key contributions include error estimation for model reduction under inhomogeneous conditions, port-Hamiltonian approximations for nonlinear flow problems, and stability-preserving gas transport models. His research bridges theoretical advancements with practical applications in engineering and computational science. Publications span topics like damped wave equations on networks, input-tailored model reduction for quadratic-bilinear systems, and certified reduced basis methods. His work aligns with RICAM’s mission in mathematical data science and optimization, contributing to industrial collaborations through MathConsult. Though no formal awards are listed, his prolific publication record reflects recognition in computational mathematics and applied sciences. He advises no students currently listed but collaborates extensively on interdisciplinary projects.

• Chemical Engineering
• Materials Science
• Pharmaceutical Engineering
• +3 more

Ecevit Bilgili is a Professor in the Department of Chemical and Materials Engineering at New Jersey Institute of Technology (NJIT). His research focuses on particulate processes, pharmaceutical engineering, and materials science, with a strong emphasis on drug delivery systems, nanoparticle stabilization, and process optimization. He has authored over 125 publications and holds an h-index of 35, with 3,827 citations. His work spans topics such as wet media milling for drug nanosuspensions, nonlinear breakage kinetics in milling processes, and the development of robust drug delivery platforms like polymer strip films. Bilgili has secured federal grants, including a 2022 grant supporting his research. His contributions include advancing understanding of particle breakage mechanisms, pharmaceutical process engineering, and material recycling techniques. Collaborations with industry and academic partners have led to innovations in drug formulation, including fast-dissolving nanocomposite drug powders and surfactant-free delivery systems. His research also extends to polymer mechanics, particularly the behavior of vulcanized rubbers under complex deformation conditions. Key achievements include pioneering studies on the Rehbinder effect in continuous nanoparticle production, the role of stabilizers in nanosuspensions, and the application of discrete element methods for breakage rate modeling. His work bridges fundamental science and industrial applications, addressing challenges in pharmaceutical manufacturing, materials recycling, and sustainable processing technologies.

Emmanouil KakourisView profile

Assistant Professor

• Computational Mechanics
• Damage Modelling
• Multiscale Modelling
• +5 more

Emmanouil Kakouris is an Assistant Professor in Civil Engineering at the School of Engineering, University of Warwick. He holds a PhD from the University of Nottingham (2019), a MEng in Civil Engineering (2012) and a MSc in Earthquake Resistant Structures (2014) from the National Technical University of Athens, Greece. He previously worked as a Research & Design Engineer at Roughan & O’Donovan (ROD) Consulting Engineers, Ireland, and as a Research Associate at the University of Nottingham. His research focuses on computational mechanics, damage modeling, multiscale modeling, and AI-driven engineering systems. Key projects include probabilistic damage assessment of additive manufacturing materials (P-DAM), AI for multiscale material damage modeling, and infrastructure climate change risk assessment (INFRALIC). He also collaborates on transport infrastructure projects, such as mitigating bridge/tunnel strikes by oversized vehicles. Teaching includes leading the ES3G8 Integrated Project module for undergraduate and Degree Apprentices. He reviews for top journals like Computer Methods in Applied Mechanics and Engineering and International Journal for Numerical Methods in Engineering . Active in PhD supervision, he offers scholarships through CIS, CSC, Monash-Warwick Alliance, and Shanghai Jiao Tong University programs. His funded research spans over £3.5M, including EPSRC grants and EU Horizon 2020 projects. Current vacancies include a PhD on AI-assisted modeling of ductile fracture, with applications prioritized until a candidate is identified.

Mattias Brynjell-RahkolaView profile

Research Fellow

• Magnetohydrodynamics
• Astrophysical Fluid Dynamics
• Numerical Methods in Fluid Dynamics
• +3 more

Dr. Mattias Brynjell-Rahkola is a Marie Sklodowska-Curie postdoctoral fellow at the University of Cambridge's Department of Applied Mathematics and Theoretical Physics (DAMTP), part of the Faculty of Mathematics. His research focuses on magnetohydrodynamics (MHD), astrophysical fluid dynamics, and high-order numerical methods, with applications to accretion discs and turbulence processes. Prior roles include postdoctoral positions at the Technical University of Ilmenau (Germany) and a PhD at KTH Royal Institute of Technology (Sweden). Key research areas include self-sustaining MHD flow processes, nonlinear dynamo theory, and stability analysis of fluid systems. His work combines theoretical frameworks with advanced computational techniques to study instabilities, transition dynamics, and edge states in complex flows. Recent projects involve energy stability analysis in MHD duct flows and chaotic regimes in channel systems. Education: PhD in Fluid Mechanics (KTH Royal Institute of Technology, 201?), followed by postdoctoral research at TU Ilmenau (201?–201?). Current position since joining DAMTP in 202?. Labs/Teams: Active member of the Astrophysics Group at DAMTP, collaborating on applied mathematics and theoretical physics projects. Specializes in developing numerical methods for plasma and fluid flow simulations.

David GREGOIREView profile

Professor

• Porous Media
• Geomechanics
• Bio-inspired Materials
• +7 more

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.

• Civil Engineering
• Mechanics of Continuous Media
• Geotechnical Engineering
• +7 more

Cyrille Chazallon is a Professor in the Department of Civil Engineering at the University of Strasbourg, affiliated with the ICube UMR7357 research institute. His research focuses on advanced material modeling, geotechnical engineering, and fatigue analysis of civil infrastructure materials, particularly asphalt mixtures and recycled aggregates. He specializes in computational mechanics techniques like the Discrete Element Method (DEM), Finite Element Method (FEM), and Boundary Element Method (BEM) to study material behavior under complex loading conditions. Key research areas include: (1) Tire-pavement interaction mechanics under rolling loads, (2) Fatigue crack propagation in quasi-brittle materials, (3) Characterization of recycled concrete aggregates' self-cementing properties, (4) Multiscale modeling of asphalt mixture responses, and (5) Sustainable infrastructure design using fiber-reinforced composites. He leads European projects like ORRAP and national initiatives like BINARY and SolDuGri, advancing pavement technology through material innovation and computational methods. His work integrates experimental validation with numerical simulations to understand material behavior across scales, addressing challenges in pavement durability, recycled material performance, and energy-efficient construction. Current projects emphasize environmental impact assessments of reinforced asphalt pavements and optimizing material recycling strategies for infrastructure sustainability.

Aurélien ParigauxView profile

Researcher

• Electromagnetic waveguides
• Maxwell's equations
• Numerical analysis
• +5 more

Aurélien Parigaux is a Doctoral Researcher and Teaching Assistant at ENSTA Paris within the Department of Applied Mathematics (UMA), specializing in electromagnetic wave propagation. Affiliated with the POEMS research unit (Propagation des Ondes, Étude Mathématique et Simulation), he works under supervisors Anne-Sophie Bonnet-Ben Dhia and Lucas Chesnel. Institution: ENSTA Paris (Institut Polytechnique de Paris) Research Unit: POEMS - Propagation des Ondes, Étude Mathématique et Simulation Academic Role: Doctoral Researcher since 2022 Teaching: Assistant since 2022 across engineering programs His research focuses on mathematical and numerical analysis of electromagnetic waveguides, particularly addressing challenges in heterogeneous media where conventional perfectly matched layers fail due to phase/group velocity mismatches. He develops novel transparent boundary conditions using Poynting-to-Magnetic operators with overlap techniques, implementing solutions via Nédélec finite elements in the XLiFE++ library. Publications demonstrate consistent contributions to electromagnetic simulation methodologies since 2023, with recent work presented at the JCJC Ondes conference. His research bridges theoretical electromagnetism and practical computational methods, targeting applications in defense, telecommunications, and energy sectors where waveguide integrity is critical. As an educator, he emphasizes clarity and practical application of mathematical concepts, drawing from experience teaching in CPGE (preparatory classes), high schools, and engineering programs. His technical expertise spans Maxwell's equations, finite element methods, and numerical modeling of wave phenomena.

• Mechanical Engineering
• Thermal Systems
• Nonlinear Dynamics
• +4 more

Abdraouf Abusoua is an Associate Lecturer at the University of Central Florida (UCF). He holds a BEng in Mechanical and Industrial Engineering from Tripoli University (1999), an MEng from Clemson University (2011), and a PhD in Mechanical Engineering from Clemson (2018). His research focuses on nonlinear dynamics, thermochemical energy storage, and advanced computational methods like the lattice Boltzmann method. Key interests include high-temperature energy systems, granular flow dynamics, and material microstructure modeling. Abusoua's work spans experimental and computational studies in vibration and nonlinear systems, with recent emphasis on designing efficient energy storage technologies. His publications address topics such as vibrational resonance in mechanical oscillators, heat transfer in porous media, and optimization of reactor-heat exchanger systems for high-temperature applications. He has contributed to solar thermochemical systems, additive manufacturing of lattice structures, and machine learning approaches for materials science. His research also involves fluid-solid interactions, brush seal mechanics, and conjugate heat transfer modeling. Abusoua collaborates with organizations like the American Society of Mechanical Engineers and SPIE, focusing on applications in aerospace, mechanical, and civil engineering. While no formal awards or grants are listed, his extensive publication record reflects sustained engagement with cutting-edge energy and materials research.

Matteo CiantiaView profile

Senior Lecturer

• Offshore Geotechnical Engineering
• Computational Geomechanics
• Geohazard Mitigation
• +3 more

Matteo Ciantia is a Senior Lecturer in Civil Engineering at the University of Dundee, specializing in Soil Mechanics and Geotechnical Engineering. He holds a PhD from Politecnico di Milano (2013) and has held postdoctoral positions at UPC Barcelona and Imperial College London. His research focuses on offshore geotechnics, computational geomechanics, and granular material behavior, supported by over £1.1M in grants. He serves on editorial boards for Géotechnique and Proceedings of the ICE Geotechnical Engineering , and chairs ISSMGE Technical Committees TC105 and TC211. Research interests include discrete element analysis, soft rock mechanics, and geohazard mitigation. Notable awards include the ISSMGE Bright Spark Award (2019) and IACMAG Promising Investigator Nomination (2021). He teaches modules on computational mechanics, geotechnical design, and advanced soil mechanics. Current projects explore offshore renewable energy foundations, rock anchoring systems, and granular material failure mechanisms. His work contributes to UN Sustainable Development Goals related to sustainable infrastructure and climate resilience. Collaborations include institutions like Imperial College London and international conferences such as Engineering in Chalk 2018.

Yaseen SharifView profile

Researcher

• Geotechnical Engineering
• Offshore Renewable Energy
• Screw Pile Foundations
• +4 more

Yaseen Sharif is a Researcher in the Department of Civil Engineering at the University of Dundee, specializing in geotechnical engineering for offshore renewable energy systems. His work focuses on screw pile foundations, centrifuge modeling, and numerical simulation techniques like the Discrete Element Method (DEM). He contributes to UN Sustainable Development Goal 7 (Affordable and Clean Energy) through innovations in offshore wind energy infrastructure. Key research interests include screw pile installation mechanics, helix interaction dynamics, and soil-structure interaction in marine environments. His recent work explores installation advancement ratios, cyclic load responses, and silent piling technologies to reduce environmental impacts. Recipient of the Institution of Civil Engineers Telford Gold Medal 2024 Finalist for the 2025 Scottish Knowledge Exchange Awards Winner of the 2023 International Marine Contractors Association Sustainability Award His research has produced over 37 publications and two significant datasets, including centrifuge experiments on screw pile performance. Collaborations involve institutions like NGI Norway and industry partners for offshore wind solutions.

Scott RobinsonView profile

Lecturer

• Geotechnical Engineering
• Offshore Wind Foundations
• Physical Modeling
• +6 more

Scott Robinson is a Lecturer (Teaching and Scholarship) in Civil Engineering at the University of Dundee, focusing on geotechnical engineering and offshore wind foundation technologies. His work bridges physical and numerical modeling, addressing challenges in sustainable energy development. Key Research Themes: Centrifuge modeling, screw piles, silent piling, cable ploughing, finite element analysis, and material point method. Scientific Awards: Canadian Geotechnical Journal - Editor's Choice Award 2021 Dr Angus A Fulton Prize for Best Civil Engineering PhD Thesis 2019 Institution of Civil Engineers Dundee Area Branch Papers Competition Winner 2010 British Geotechnical Association Fleming Award 2023 Recent Activities: Organizer, Dundee STEM Expo (2025) Invited speaker at ICE International Webinar (2025) Visiting researcher at University of Milan - Bicocca (2020-2021)

Scott MacLachlanView profile

Professor

• Computational Applied Mathematics
• Scientific Computation
• Multigrid Methods
• +3 more

Scott MacLachlan is a Professor of Mathematics at Memorial University of Newfoundland. He holds a B.Sc. (Hon.) from the University of British Columbia and a Ph.D. in Applied Mathematics from the University of Colorado at Boulder. Previously, he served as Associate Professor at Tufts University. His research focuses on computational applied mathematics and scientific computation, particularly multigrid methods, finite-element discretizations, and numerical linear algebra. He is an associate editor for the SIAM Journal on Scientific Computing and SIAM Journal on Matrix Analysis and Applications, and co-chairs the program committee for the Copper Mountain Conference on Multigrid Methods. Education: B.Sc. (Hon.) in Mathematics and Computer Science (UBC, 2000), Ph.D. in Applied Mathematics (CU Boulder, 2004). Postdoctoral work at University of Colorado, University of Minnesota, and Delft University of Technology. Research interests include multiscale numerical analysis, PDE-based models in fluid/solid mechanics, and algorithm development for scientific computing. His work integrates functional analysis, numerical linear algebra, and physical modeling. He develops open-source software such as XBraid for parallel time integration and adaptive AMG codes. Publications span multigrid methods, domain decomposition, and liquid crystal simulations. He collaborates on projects involving thermal slip, magnetohydrodynamics, and geophysical electromagnetics. Teaching includes courses on numerical methods for PDEs at both Memorial University and Tufts. Professional activities include editorial roles, conference organization, and contributions to international workshops on multiscale modeling. His software tools and algorithmic innovations address challenges in parallel computing and large-scale simulations.

Oleg IlievView profile

Professor

• Computational Fluid Dynamics (CFD)
• Numerical Simulation
• Porous Media
• +5 more

Prof. Dr. Oleg Iliev is a leading researcher at the Fraunhofer Institute for Industrial Mathematics ITWM in Kaiserslautern. His work focuses on computational fluid dynamics, numerical simulation of multiphase flows, and porous media processes. He specializes in developing advanced algorithms for CFD, reactive transport modeling, and multiscale methods. His research integrates computational methods with engineering applications such as filter design, battery technology, and environmental systems. Key research interests include: Porous media flow simulation CFD-DEM coupled systems Reactive transport in heterogeneous media High-performance computing and parallel algorithms His publications (2016–2022) highlight contributions to: Pore-scale modeling of filtration and catalytic processes Machine learning integration with numerical PDE solvers Uncertainty quantification in subsurface flows GPU-accelerated stochastic simulations Prof. Iliev collaborates with industry and academia on projects involving Li-ion batteries, filter efficiency optimization, and exascale computing frameworks like EXA-DUNE.

Axel KlarView profile

Professor

• Kinetic Theory
• Traffic Flow Modeling
• Pedestrian Dynamics
• +6 more

Prof. Axel Klar is a Professor in the Department of Technomathematics at the Rheinland-Palatinate University of Applied Sciences (RPTU) Kaiserslautern-Landau. His research focuses on mathematical modeling of complex systems, with a strong emphasis on kinetic theory, fluid dynamics, and applied analysis. Key areas of expertise include traffic flow dynamics, fiber dynamics in industrial processes, pedestrian movement patterns, and biological systems such as cell motion and tumor growth. He develops and analyzes numerical methods for partial differential equations and stochastic systems, often addressing challenges in technical textile production, non-equilibrium thermodynamics, and multi-physics simulations. His work bridges microscopic particle-based models with macroscopic continuum descriptions, emphasizing asymptotic methods and domain decomposition techniques. Notable contributions include stochastic fiber lay-down models for nonwoven manufacturing, mesh-free particle methods for granular and rarefied gas flows, and kinetic-based traffic models with applications to autonomous vehicles and crowd control. Current research explores data-driven approaches for coupled systems in socio-economic and biomedical contexts. Prof. Klar’s interdisciplinary projects involve collaborations with industry partners (e.g., in textile engineering) and academic institutions globally. His team develops open-source numerical toolkits for applications ranging from radiation therapy optimization to climate-resilient infrastructure design. Recent efforts focus on AI-driven parameter estimation for high-dimensional PDE systems and uncertainty quantification in multi-scale modeling.

Prashant GoswamiView profile

Associate Professor

• Computer Graphics
• Virtual Reality
• Artificial Intelligence
• +7 more

Dr. Prashant Goswami is an Associate Professor in the Department of Computer Science at Blekinge Institute of Technology (BTH), Sweden, within the Faculty of Computing. He also serves as Adjunct Faculty in the CSE Department at IIIT Delhi, India. B.Tech/M.Tech (IIT Delhi) PhD in Computer Graphics (University of Zurich) His research focuses on Computer Graphics , Virtual Reality , AI Integration , and Real-Time Simulations , with recent work bridging Immersive Analytics and Human-Centered Intelligent Systems . He has contributed to snow/ice animation, foveated rendering, and XR ethics. Recent publications highlight trends in GPU-Based Simulation , GAN-Driven Cloud Animation , and AI-Enriched XR Systems . As Guest Editor for the Journal of Imaging (MDPI), he is advancing immersive metaverse experiences. Previously, he worked at gameLab (NTU Singapore) and INRIA's MAVERICK group, focusing on geometric modeling and cloud simulation. His industry experience preceded his PhD at University of Zurich.