Find Academic Supervisors

Vahid Joekar-NiasarView profile

Professor

• CCS (Carbon Capture and Storage)
• Hydrogen Storage
• Geothermal Energy
• +5 more

Professor Vahid Joekar-Niasar is a faculty member in the Department of Subsurface Engineering and Porous Media Physics at the University of Manchester. He holds academic affiliations with Energy Manchester, Sustainable Futures, Dalton Nuclear Institute, and Manchester Environmental Research Institute. His research focuses on subsurface energy systems, multiphase flow in porous media, and electrochemical energy devices. Key areas include carbon capture and storage (CCS), hydrogen storage, geothermal energy, and PEM fuel cells. Education: PhD in Engineering (details not explicitly stated) Research interests integrate computational modeling at pore-scale and multiscale levels, with applications to CO2 sequestration, geothermal systems, and electrochemical devices. His work addresses UN Sustainable Development Goals related to clean energy and climate action. Recent studies explore hydrogen injection dynamics, calcite-brine interactions in enhanced oil recovery, and non-Newtonian fluid transport in porous media. Notable awards include the Young Researcher InterPore-Fraunhofer Award (2011) and FSE Best Supervisor Award (2024). He leads projects on subsurface energy storage and has supervised 11 research projects. Collaborations span global institutions with focuses on two-phase flow, wettability, and pore-scale physics. Labs/Teams: Direct characterization of transport in unsaturated porous media, interdisciplinary porous media research at Stuttgart University.

David StrongView profile

Professor

• Applied Mathematics
• Image Processing
• Numerical Linear Algebra
• +2 more

Roles and Affiliations: David Strong is a Professor of Mathematics at Pepperdine University, affiliated with the Natural Science Division within Seaver College. He holds a PhD in Applied Mathematics from UCLA (1997). Education: - PhD in Applied Mathematics, UCLA, 1997 - MS in Applied Mathematics, UCLA, 1994 - BS in Mathematics, Brigham Young University, 1992 (Summa Cum Laude). Research Interests: Focuses on mathematical software development, image processing, numerical linear algebra, and undergraduate research. His work bridges theoretical mathematics with practical applications, including contributions to computational methods in imaging and iterative solvers for linear systems. Teaching: Teaches courses such as Linear Algebra, Numerical Analysis, and Differential Equations. Develops innovative educational tools like online tutorials for numerical methods. Publications: Active in publishing research on topics like total variation regularization, fixed-point algorithms, and computational mathematics. His work emphasizes interdisciplinary applications of mathematics in science and engineering.

• Quantum Chemistry
• Uncertainty Quantification
• Numerical Analysis
• +5 more

Virginie Ehrlacher Galland is a Professor at CERMICS (Centre d'Enseignement et de Recherche en Mathématiques et Calcul Scientifique) within École des Ponts ParisTech. Her expertise lies in applied mathematics, numerical analysis, and computational physics, with a focus on multiscale problems, quantum chemistry, and uncertainty quantification. She holds a PhD from CERMICS (2012) and a Habilitation (2020) from Université Paris-Dauphine. Her research interests include cross-diffusion systems, reduced basis methods, and optimal transport applications. Key contributions involve numerical methods for electronic structure calculations, homogenization techniques, and adaptive algorithms. She leads the ERC Starting Grant HighLEAP (2023-2028) and contributes to major projects like the ERC Synergy project EMC². Awards: Irène Joliot-Curie Prize (2023), Chevalier de l’Ordre National du Mérite (2025). Grants/Projects: ERC Starting Grant HighLEAP (PI), ERC Synergy EMC² (Member), ANR JCJC COMODO (PI). Her work bridges theoretical analysis and computational methods, addressing challenges in materials science, fluid dynamics, and machine learning applications.

Ioana IlieView profile

Assistant Professor

• Computational Chemistry
• Biophysics
• Peptide Therapeutics
• +3 more

Dr. Ioana Ilie is an Assistant Professor in Computational Chemistry at the van 't Hoff Institute for Molecular Sciences , part of the Faculty of Science at the University of Amsterdam . Her research focuses on developing multiscale computational tools to study polypeptide aggregation, design peptide-based therapeutics, and engineer smart biomaterials. She combines atomistic simulations, coarse-grained modeling, and machine learning to address challenges in neurodegenerative diseases and cancer. Dr. Ilie holds a PhD from the University of Twente (Netherlands), with postdoctoral training at the Technical University of Darmstadt (Germany) and the University of Zurich (Switzerland). She leads the Multiscale Simulation of Biomolecular Systems group , which aims to bridge computational and experimental approaches in biomedicine and materials science. Her lab has received a Career Development Award from the Synapsis Foundation (2022) and recognition in ChemComm 's Emerging Investigators edition. Her research spans amyloidogenic targets , cyclic peptide design , and coarse-grained modeling . She emphasizes interdisciplinary collaboration, leveraging computational methods to advance therapeutic strategies and biomaterial innovation. Her team's future goals include expanding machine learning applications and deepening international partnerships. For more information, visit her lab webpage or follow her on Twitter .

Wangzhong MuView profile

Senior Lecturer

• Sustainable Metallurgy
• Microstructure Physics
• Alloy Design
• +3 more

Prof. Wangzhong Mu is a Senior Lecturer (Docent) in the Department of Materials Science and Engineering at KTH Royal Institute of Technology, Stockholm. His research focuses on sustainable metallurgy, microstructure physics, and alloy design. He leads the thermo-physical property analysis section in the Hultgren Lab and is affiliated with Digital Futures at KTH. Educations: PhD in Materials Science, KTH Royal Institute of Technology (2015) MSc/Bachelor's in Materials Science, Northeastern University, China Research Interests: Inclusion engineering and microstructure-property correlations in steels High-entropy alloy design using digital tools (AI/thermodynamic modeling) In-situ characterization via confocal microscopy and multiscale analysis Recycling-oriented steel production and CO2 reduction strategies Grants/Projects (selected): SSF Strategic Mobility Grant (2023-2024): Clean steel for sustainable future VINNOVA Mobility Grant (2022-2024): Hydrogen-based metallurgy STINT Project (2022-2023): Inclusion engineering for green steel EIT RawMaterials (ENDUREIT, 2019-2021): Durable steels at intermediate temperatures Labs/Teams: Hultgren Lab (materials characterization), Digital Futures (AI-driven metallurgy), and international collaborations with Hanyang University (South Korea), IIT Bombay (India), and Tohoku University (Japan).

Amirreza KhodadadianView profile

Lecturer

• Uncertainty Quantification
• Numerical Analysis
• Computational Mechanics
• +7 more

Dr. Amirreza Khodadadian is a Lecturer in Mathematics at the School of Computer Science and Mathematics, Keele University, since August 2023. He holds a Ph.D. from the University of Vienna (2017), followed by postdoctoral positions at the Technical University of Vienna and Leibniz University Hannover. His research focuses on uncertainty quantification, numerical methods for stochastic PDEs, finite element methods, computational mechanics, and machine learning applications in nanoelectronics and biological systems. Key research interests include Bayesian inversion, multiscale modeling, reduced-order methods, and the design of nanoscale sensors. He has collaborated with institutions like the University of Oxford and secured an Austrian Science Fund (FWF) grant (476k€) for nanozyme sensor research. Dr. Khodadadian mentors postdoctoral researchers, including Dr. Samaneh Mirsian, and actively publishes in top-tier journals such as Journal of Computational Physics and Computer Methods in Applied Mechanics and Engineering . His work bridges applied mathematics with engineering challenges, emphasizing efficient numerical algorithms for real-world problems like battery degradation, groundwater contamination, and biomedical sensor optimization. Recent projects involve machine learning integration for enhanced predictive modeling. Education: Ph.D. in Mathematics, University of Vienna, Austria (2017) Postdoctoral Fellowships: TU Vienna (2018), Leibniz University Hannover (2018–2022) Grants/Awards: Austrian Science Fund (FWF) Grant: Single Atom Catalysts as Nanozymes in FET Sensors (2023) Advising: Postdoctoral Mentor: Dr. Samaneh Mirsian (Keele University) Dr. Khodadadian’s publications span computational mechanics, stochastic modeling, and interdisciplinary applications, reflecting his expertise in translating mathematical theory into practical engineering solutions.

Andres Galvis RodriguezView profile

Senior Lecturer

• Lithium-ion Battery Degradation
• Multiscale Modelling
• Micromechanical Modelling
• +4 more

Andres Galvis Rodriguez is a Senior Lecturer at the School of Electrical and Mechanical Engineering, University of Portsmouth. He specializes in multiscale modelling, lithium-ion battery degradation, and micromechanical analysis of heterogeneous materials. His research involves developing novel mathematical models and computational tools, including the BESLE software for boundary element analysis of heterogeneous materials. He collaborates with Brazilian researchers on advancing thermo-elasticity modules for BESLE. Teaching responsibilities include coordinating modules in Solid Mechanics & Dynamics and Engineering Mathematics. His work focuses on finite element and boundary element methods, with applications to battery systems, composite materials, and bone structures. The BESLE software, co-developed by Dr. Galvis Rodriguez, is a pioneering open-source tool for simulating anisotropic and isotropic materials using parallel computing. Current research emphasizes the mechanical behavior of lithium-ion electrodes via homogenization techniques and fatigue analysis in composite-repaired structures. His contributions bridge computational mechanics and materials science, addressing challenges in energy storage and structural integrity.

André SchlichtingView profile

Professor

• Applied Mathematics
• Partial Differential Equations
• Stochastic Analysis
• +5 more

André Schlichting is a Full Professor of Applied Analysis at the University of Ulm, leading the Institute of Applied Analysis since October 2024. Previously, he served as an Associate Professor for Applied Mathematics at the University of Münster (2020–2024) and held postdoctoral and visiting professor roles at institutions including the University of Bonn and RWTH Aachen. His research focuses on the qualitative analysis of complex systems, combining methods from partial differential equations, stochastic analysis, and numerical analysis. Key interests include metastability in statistical mechanics, phase transitions, variational methods, and the longtime behavior of dissipative systems. Education: Habilitation (Facultas Docendi), University of Bonn, 2020 (Phase Transitions in Interacting Systems) PhD in Mathematics, Universität Leipzig, 2012 Diploma in Mathematics, TU Freiberg, 2008 Studies in Mathematics at University of Pavia (Italy) and TU Freiberg Research Interests: His work bridges applied mathematics and theoretical physics, addressing problems in statistical mechanics, stochastic processes, and machine learning. Key areas include: Metastability in molecular and statistical mechanics systems Coarsening and nucleation phenomena in interacting particle systems Variational methods for dissipative evolution equations Entropy methods and functional inequalities (spectral gap, log-Sobolev) Gradient flows and their limits in continuum and discrete settings Discrete and nonlocal dynamics on graphs and data sets Recent Article Trends: His recent work emphasizes gradient flow structures, discretization schemes for PDEs, and metastability in stochastic systems. Notable contributions include analysis of the exchange-driven growth model, McKean-Vlasov equations on manifolds, and covariance-modulated optimal transport. These studies highlight interdisciplinary approaches to bridging discrete and continuum dynamics. Labs/Teams: He leads the Applied Analysis group at Ulm University, focusing on collaborative research in PDEs, stochastic processes, and numerical methods. Active participation in initiatives like the Hausdorff Trimester Program (Bonn) underscores his role in fostering interdisciplinary research networks.

Zdenek BazantView profile

Professor

• Mechanics of Materials
• Fracture Mechanics
• Structural Safety
• +6 more

Zdenek Bazant is the McCormick Institute Professor and Walter P. Murphy Professor of Civil and Environmental Engineering at Northwestern University, with courtesy appointments in Mechanical Engineering and Materials Science. He has been at Northwestern since 1969, serving as Director of the Center for Geomaterials (1981–1987) and holding leadership roles in multiple academic organizations. His research focuses on mechanics of materials, fracture, and structural safety, with contributions to probabilistic mechanics, nano-mechanics, and concrete technology. He holds 7 honorary doctorates and prestigious awards including NAS membership, NASAE, and medals from ASME and ASCE. His work includes over 575 refereed articles and 6 books, achieving a Google Scholar H-index of 94 and 39,000 citations. Education: PhD in Prague (1963) Positions: Editor of ASCE Journal of Engineering Mechanics, President of Soc. of Engineering Science, and Founding President of IA-FRAMCOS Research interests span quasibrittle fracture mechanics, size effects, and structural safety. Key contributions include scaling laws for structural strength and microplane models for concrete behavior. His work on hydraulic fracturing and creep in concrete has influenced engineering practices globally. Notable awards include the Timoshenko Medal (ASME), von Karman Medal (ASCE), and Prager Medal (SES). He has been honored with Special Issues of major journals and birthday workshops. Current affiliations include memberships in multiple national academies and editorial roles.

John ProvisView profile

Visiting Professor

• Cement Chemistry
• Materials Science
• Sustainable Construction
• +3 more

Dr. John Provis is the Group Leader for Cement Systems at the Paul Scherrer Institute (PSI) in the Laboratory for Waste Management (LES). He holds a PhD in Chemical Engineering from the University of Melbourne, Australia, and was previously the Professor of Cement Materials Science and Engineering at the University of Sheffield, UK (2012–2023). His research focuses on cement chemistry, sustainable construction materials, and nuclear waste management, with a strong emphasis on standardization and beamline analysis. Provis has authored over 300 journal articles and secured major grants, including an ERC Starting Grant. He is a Fellow of multiple prestigious societies and has received awards such as the RILEM Robert L'Hermite Medal and a Doctor Honoris Causa from Universiteit Hasselt. He has supervised over 100 PhD/postdoc researchers and serves as an editorial board member for journals like Cement and Concrete Research and Materials and Structures . His research interests span cement durability, geopolymer development, and the environmental impact of construction materials. Provis also advises governments and agencies globally on funding and policy, contributing to projects like the Hanford Nuclear Reservation review. His work bridges academic research with industrial applications, emphasizing innovation in low-carbon materials and waste management solutions.

Leonid V. ZhigileiView profile

Professor

• Multiscale Modeling
• Nanomaterials
• Surface Processes
• +5 more

Leonid V. Zhigilei is a Professor of Materials Science and Engineering at the University of Virginia's School of Engineering and Applied Science. He serves as an academic advisor for MSE and is involved in Virginia Engineering Online Program. His research focuses on multiscale modeling of materials behavior, nanomaterials, laser-materials interactions, and surface science. He holds a B.S. from St. Petersburg State Technical University (1987), a Ph.D. from St. Petersburg State University and Tomsk State University (1991), and completed a postdoc at Penn State University (1995-2000). Research interests include computational materials science, catalysis, and nanomanufacturing. His work combines atomistic simulations with experimental insights to explore phenomena like phase explosions, nanoparticle formation, and thermal transport in advanced materials. Key grants include NSF-funded studies on laser-induced phase transitions and nanoparticle processing. Awards: Humboldt Research Award (2021), Fojtik-Henglein Prize (2021), NSF CAREER Award (2004) Courses Taught: MSE 3050, MSE 4592/6270, MSE 6020 Labs/Teams: Computational Materials Group Recent publications (2021–2025) investigate laser-driven material transformations, thermal conductivity in carbon nanotubes, and nanofiber mechanics. His work bridges computational modeling with practical applications in energy-efficient nanoparticle synthesis and advanced manufacturing.

• Malaria Research
• Parasitology
• Vaccine Development
• +3 more

Mary Galinski is a Professor in the Hubert Department of Global Health at Emory University's School of Medicine. Her research focuses on malaria pathogenesis, vaccine development, and host-parasite interactions using non-human primate models. She has contributed extensively to understanding Plasmodium species biology, particularly Plasmodium vivax and Plasmodium knowlesi, through proteomics, transcriptomics, and systems biology approaches. Her work emphasizes antigenic variation mechanisms, immune response dynamics, and the application of genomic technologies to study malaria lifecycle stages. Notable contributions include defining SICAvar protein roles in cytoadhesion and identifying biomarkers for vaccine development. She collaborates on projects involving drug repurposing and systems biology frameworks to address malaria complexity. Galinski's research integrates metabolomics, transcriptomics, and proteomics data to uncover host-pathogen relationships. Her lab employs cutting-edge methods like single-molecule genome sequencing and Bayesian network modeling to dissect malaria infection dynamics. Recent studies explore microbiome disruptions during malaria and the immunological basis of clinical tolerance in infections. Her publications highlight translational research bridging basic science and public health, with a focus on vivax malaria's unique challenges such as relapsing infections and hypnozoite dormancy. She advocates for non-human primate models as critical tools for studying malaria's systemic effects and vaccine efficacy.

Rachel BearonView profile

Professor

• Mathematical Biology
• Biophysics
• Fluid Dynamics
• +6 more

Professor Rachel Bearon is the Executive Dean of the Faculty of Natural, Mathematical & Engineering Sciences (NMES) at King’s College London, where she also holds the title of Professor of Mathematical Biology. Prior to joining King’s in 2024, she served as Head of Department and Professor at the University of Liverpool’s Department of Mathematical Sciences from 2005–2023. Her research integrates mathematics with biological systems, focusing on cell motility , chemotaxis , active fluids , and quantitative systems pharmacology . Education : PhD and BA in Mathematics from the University of Cambridge Postdoctoral : Biological Oceanography at the University of Washington, Seattle Her work spans mathematical modeling of biological processes , including drug transport in hepatic spheroids , microswimmer dynamics in fluid flows , and actin filament barriers in cells . Recent publications highlight collaborations in in silico and translational medicine projects, particularly with tissue engineers and pharmacologists. Scientific contributions include: Fellow of the Institute of Mathematics and its Applications Trustee of the Academy for Mathematical Sciences (2020–2024) Leadership in interdisciplinary initiatives like the Centre for the Physical Science of Life As a leader, she emphasizes interdisciplinary collaboration , student-centered education , and EDI (Equality, Diversity, Inclusion) in academic culture. Her advisory roles include the University of Liverpool Maths School Trustee and British Science Association presidency.

• Meteorology
• Climate Modeling
• Radiative Transfer
• +7 more

Chiel van Heerwaarden is an Associate Professor of Meteorology at Wageningen University & Research. His work focuses on cloud dynamics, radiative transfer, and their impacts on climate processes. He leads projects on solar irradiance variability, convective cloud organization, and atmospheric modeling. He has received a NWO Vidi grant for his research on cloud shadows and radiative effects. His research integrates machine learning, large-eddy simulations, and observational data to advance understanding of boundary layer processes and climate feedbacks. Key research areas include: irradiance variability under broken clouds, 3D radiative effects in shallow cumulus clouds, and the interaction between clouds and land surface processes. He collaborates on field experiments like CloudRoots-Amazon22 and Fesstval, advancing multiscale modeling approaches. His team addresses challenges in kilometer-scale Earth system modeling and wildfire-atmosphere interactions. Recent achievements include developing efficient radiative transfer parameterizations and analyzing extreme weather phenomena like heatwaves linked to soil drought. He advises five PhD candidates on topics ranging from convective self-aggregation to forest fire plumes. His work bridges computational science and observational data to improve climate projections and atmospheric understanding. Grants: NWO Vidi Grant (2019) Labs/Teams: Meteorology and Air Quality Group at Wageningen University Key Projects: CloudRoots-Amazon22, Shedding Light on Cloud Shadows, Real-Weather Large Eddy Simulation

• Applied Stochastic Analysis
• Mathematical Ecology
• Interacting Particle Systems
• +3 more

Michela Ottobre is a Professor of Mathematics at Heriot-Watt University, affiliated with the School of Mathematical & Computer Sciences. She holds editorial roles at Foundations of Data Science and SIAM Review , and is a member of the European Mathematical Society and Edinburgh Mathematical Society. Her research focuses on applied stochastic analysis, mathematical ecology, and multiscale modeling, with applications to rewilding and ecological systems. Education & Career PhD in Mathematics, Imperial College London (2012) Postdoctoral roles at Warwick University and Imperial College London Joined Heriot-Watt as Assistant Professor (2014), promoted to Full Professor (2024) Research Interests Her work integrates stochastic processes, interacting particle systems, and PDEs to model ecological and biological phenomena. Key areas include: Stochastic multiscale models Mathematical ecology and rewilding Numerical methods for SDEs Grants & Awards Leverhulme Research Grant (2020–2023) EPSRC Standard Grant (2025, £550k) for multiscale methods Sir Edmund Whittaker Memorial Prize (2019) Collaborations & Outreach Organized workshops including the 11th International Conference on Stochastic Analysis (2023) and contributed to ecological modeling initiatives. Supervises PhD students in applied stochastic analysis and mathematical ecology.