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Jong Min KimView profile

Assistant Professor

• Slope Stability Analysis
• Numerical Limit Analysis
• Geological Disposal
• +2 more

Jong Min Kim is an Assistant Professor in the Department of Civil and Environmental Engineering at Sejong University. His academic background includes a Ph.D. (1998), M.S. (1991), and B.S. (1989) from Yonsei University and Purdue University. Ph.D., Purdue University (1998) M.S., Yonsei University (1991) B.S., Yonsei University (1989) His research focuses on geotechnical engineering , particularly Slope Stability Analysis , Numerical Limit Analysis , and Enzymatically Induced Calcite Precipitation (EICP) . He has pioneered methods for Geological Disposal and Geotechnical Application of Waste Materials , including the development of a low-ammonium EICP technique using synthetic Ca²⁺-zeolite to mitigate environmental harm. Recent publications highlight advancements in soil stabilization using plant-based enzymes and waste materials, thermo-mechanical rock behavior , and reinforced soil mechanics . His work includes numerical simulations for nuclear waste repositories and innovative grouting methods with environmental safeguards. He teaches Construction Materials Testing and Soil Mechanics , and leads research on compaction quality control , dynamic soil properties , and environmentally sustainable geotechnical applications .

• Scientific Computing
• Finite Element Methods
• Mixed-Dimensional Coupling
• +4 more

Cécile Daversin-Catty is a Research Scientist at Simula Research Laboratory in the Department of Numerical Analysis and Scientific Computing. Her work bridges computational mathematics and biomedical engineering through advanced finite element methods. Education: PhD in Applied Mathematics (2016, Université de Strasbourg), thesis titled 'Reduced basis method applied to large non-linear multi-physics problems: application to high field magnets design' Her research focuses on scientific computing , finite element methods , and mixed-dimensional coupling , with applications spanning fluid mechanics , cardiac electromechanics , and neurovascular modeling . Recent publications highlight her expertise in computational fluid dynamics for cardiac flow simulations, development of FEniCS-based tools for mixed-domain problems, and modeling of perivascular networks. Key trends in her work include: Development of robust numerical frameworks for multi-physics problems Advancing cardiac electromechanical modeling for heart failure studies Exploring glymphatic system dynamics via mixed-dimensional finite elements Software innovation in computational science tools She collaborates extensively with researchers across computational cardiology and neuroscience, contributing to open-source platforms like FEniCS.

Kent-Andre MardalView profile

Professor

• Computational Mechanics
• Biomechanical Applications in Medicine
• Brain Clearance During Sleep
• +5 more

Kent-Andre Mardal is a Professor at the Department of Mathematics , University of Oslo . He specializes in computational mechanics with a strong focus on biomechanical applications in medicine , particularly in modeling brain clearance mechanisms during sleep. His work integrates multi-physics modeling , fluid-structure interaction , and poroelastic couplings to advance understanding of the glymphatic system and cerebrospinal fluid dynamics. Education: PhD (2002) – Simula Research Laboratory Research Interests: Mardal's research spans a wide range of disciplines including: Computational Mechanics – developing robust numerical algorithms for complex physical systems Biomechanical Applications – particularly in neuroscience and medical imaging Brain Clearance During Sleep – modeling the glymphatic system and CSF flow dynamics Multi-Physics Modeling – integrating fluid dynamics, elasticity, and neural networks Finite Element Methods – for accurate and efficient simulations Neural Networks in Scientific Computing – exploring physics-informed neural networks Research Trends from Publications: Mardal's recent publications (2022–2025) demonstrate a clear focus on brain fluid dynamics , particularly the glymphatic system , CSF circulation , and neurodegenerative disease modeling . He employs advanced numerical techniques such as isogeometric analysis , physics-informed neural networks , and parameter-robust preconditioning to solve complex multi-physics problems. His work bridges medical imaging (MRI) with computational modeling to provide insights into brain clearance mechanisms and their impairment in diseases like Alzheimer's. Scientific Awards: No specific awards are mentioned in the provided text. Grants and Projects: Currently, Mardal is the Principal Investigator (PI) of three active research projects: Alzheimer's Physics – exploring the role of fluid dynamics in neurodegeneration Scientific Machine Learning – advancing numerical methods with AI Computational Hydrology – modeling subsurface fluid flow Affiliations and Teams: Mardal was previously a group leader at the Centre of Excellence “Biomedical Computing” at the Simula Research Laboratory. He has authored over 100 papers and several books, and his research homepage is available at https://kent-and.github.io/ .

Kouakou Donatien N'DriView profile

Lecturer

• Numerical Analysis
• Computational Fluid Dynamics
• Differential Equations
• +3 more

Kouakou Donatien N'Dri serves as a Lecturer in the Department of Mathematics and Industrial Engineering within the Faculty of Engineering at Polytechnique Montréal. With a career spanning over two decades since completing his Ph.D. at École Polytechnique de Montréal in 2001, Dr. N'Dri has established himself as a specialist in numerical methods and computational fluid dynamics. Dr. N'Dri earned his academic credentials through an international path: a B.Sc. from Ivory Coast, an M.Sc. from Université Laval, and his doctorate from Polytechnique Montréal. His educational background reflects a strong foundation in both theoretical mathematics and practical engineering applications. His research focuses on numerical analysis, computational fluid dynamics, and differential equations, with particular expertise in finite element methods and mathematical modeling of fluid phenomena. Dr. N'Dri's work bridges theoretical mathematics with practical engineering challenges, especially in biomedical applications such as blood flow simulation and hemolysis modeling. His publication record shows a progression from foundational computational methods to specialized biomedical applications and more recently to educational research on teaching differential equations. Dr. N'Dri's most recent work includes research on online teaching methods for differential equations (2018) and contributions to educational materials, demonstrating his commitment to both research and pedagogy. His publications span computational mathematics journals and biomechanical engineering venues, reflecting the interdisciplinary nature of his work. As an educator, Dr. N'Dri has focused on differential equations instruction, developing both traditional and online teaching approaches. His position as Lecturer suggests a primary focus on teaching within the Department of Mathematics and Industrial Engineering, where he likely contributes to both undergraduate and graduate mathematical education for engineering students.

• Numerical Analysis
• Scientific Computing
• Partial Differential Equations
• +3 more

Herbert Egger is a Professor of Numerical Analysis and Scientific Computing at Johannes Kepler University (JKU) Linz and heads the Institute of Numerical Mathematics. He is also a Group Leader at RICAM (Johann Radon Institute for Computational and Applied Mathematics) and Scientific Director at the Austrian Academy of Sciences. His research focuses on advanced numerical methods for partial differential equations, including structure-preserving discretizations, inverse problems, and computational electromagnetics. Current projects include SFB F90-N (CREATOR) for electric machine co-simulation, SPP 2256 for phase-field modeling in additive manufacturing, and TRR 146 on multiscale soft matter systems. Key research areas: mixed/hybrid finite element methods, energy-based modeling, model order reduction, radiative transfer, and inverse problem stabilization. His recent work emphasizes nonlinear magnetostatics, phase separation models, and efficient solvers for time-dependent systems. Egger collaborates internationally with institutions like TU Eindhoven and TU Darmstadt.

• Predictive modeling for solid dosage pharmaceutical processes
• Biopharmaceutical Engineering
• Pharmaceutical Applications and Product Design
• +7 more

Sandra Lenihan is a Lecturer in Chemical and Biopharmaceutical Engineering at Munster Technological University (MTU), where she has been faculty since 2009. She leads the Process innovation Engineering Research Group (PiERG) and serves as a Principal Investigator with the Pharmaceutical Manufacturing Technology Centre (PMTC) hosted at University of Limerick. Dr. Lenihan has established herself as a key researcher in pharmaceutical process engineering with strong industry connections. Her research focuses on developing predictive modeling for solid dosage pharmaceutical processes, particularly powder modeling for tablet processing and continuous manufacturing. She specializes in computational approaches using tools like Dynochem and finite element analysis to model unit operations including mixing, bioreactors, and filtration. Her work bridges academic research with industrial applications, resulting in numerous collaborations with pharmaceutical companies. Pharma Awards, Partnership Alliance WINNER (2018) Bridge Network Nomination for Invention of the Year (2018) Pharma Awards, 2nd Place: Education and Training Category (2020) Educational Awards, Best Student Experience Category Finalist (2020) Educational Awards, Career Impact Category Finalist (2020) Pharma Awards, Education and Training Category Finalist (2017) Dr. Lenihan supervises Capstone Final Engineering Research and Design Projects and has been instrumental in developing industry-academic partnerships. She previously served as Placement Manager for the Chemical Engineering Programme (2012-2020) and has secured significant funding through Springboard programs and Enterprise Ireland projects. Her teaching includes Process Engineering, Biopharmaceutical Engineering, and Pharmaceutical Applications, where she integrates practical industry experience with academic theory. She leads the PiERG research group, which provides solutions to the Pharma Engineering sector through expertise in predictive modeling and industrial pharma processing. Her current research includes an Enterprise Ireland IPP project in Tabletting and Coating (2022-2024) involving two postdocs working with Dr. Alexander Krok.

• Structural Engineering
• Deployable Structures
• Low Carbon Design
• +3 more

Professor Neil Currie is a chartered structural engineer (FIStructE) and chartered civil engineer (MICE) at the University of Salford's School of Science, Engineering & Environment. With over 25 years of industry experience in structural engineering design, he brings extensive practical knowledge to his academic role. His affiliations include the Centre for Future Engineering at the University of Salford, where he conducts research on innovative structural solutions. Professor Currie's educational background includes: Bachelor's Degree in Civil Engineering (1994-1997) Doctor of Philosophy in "Kinky Structures" (2011-2020, completed part-time) Postgraduate Certificate in Academic Practice (2010-2012, completed part-time) His research interests focus on creating sustainable and innovative structural solutions, with particular emphasis on Low Carbon Design of Structures , Retrofitting Existing Structures , Reduction of Embedded Carbon in Structures , Deployable Structures , Adaptable Structures , Timber Design , and Lightweight Structures . Much of his work incorporates biomimetic principles, drawing inspiration from natural phenomena to develop novel engineering approaches. Professor Currie has published extensively on topics related to deployable structures, disproportionate collapse analysis of timber buildings, and innovative teaching methods in structural engineering. Professor Currie has led significant research projects including a KTP with Technocover (2017-2019). His industry experience spans a wide range of projects from £200m mixed-use developments and 50-storey buildings to innovative tensile fabric structures, deployable structures, and sustainable timber buildings. He has also contributed to advancing engineering education through the implementation of the inverted classroom approach for structures modules.