جست‌وجوی استاد و پژوهشگر

• Geomechanics
• Offshore Geotechnics
• Soil-Structure Interaction
• +۱۲ مورد دیگر

Richard Jardine is a Professor of Geomechanics in the Department of Civil and Environmental Engineering at Imperial College London's Faculty of Engineering. He also serves as a College Proconsul and co-chairs the College Artworks Group. His work spans advanced geotechnical research, offshore renewable energy foundations, and international collaboration. Research Interests: His expertise includes soil properties, advanced laboratory and field measurement techniques, soil characterization, offshore geotechnics, foundation analysis, slope stability, driven pile behavior, soft ground engineering, full-scale monitoring, geotechnical instrumentation, and cold region geotechnics. His research is central to climate change adaptation and renewable power systems. Publication Trends: Recent articles focus on the mechanical behavior of chalk, sand, and glacial tills under monotonic and cyclic loading, particularly in offshore contexts. Emphasis is placed on numerical modeling (FE, MPM), pile-soil interaction, aging effects, and design method validation for offshore wind foundations. Fellow of the Royal Society (2024) Fellow of the Royal Academy of Engineering (2002) RAEng Medal (1997) British Geotechnical Association Medal (1990, 2015, 2021, 2023) Canadian Geotechnical Society Quigley Award (2019) ISSMGE McClelland Honour Lecture (2023) BGA Rankine Lecture (2016) Advising and Grants: Richard has led major international Joint Industry Projects including ALPACA, PISA, PAGE, and Unified Pile Design Method JIP, involving partners such as Orsted, NGI, Fugro, Oxford, and Zhejiang University. He has advised UK government, contractors, and energy firms on offshore projects in the Baltic Sea, Taiwan Strait, and North Sea. He holds a Royal Society Newton Advanced Fellowship with ZJU. Labs and Teams: He leads research within Imperial’s Geotechnics group and the Imperial Centre for Geohazards. His team conducts advanced laboratory and field testing, collaborates with Deltares (Netherlands), and maintains strong ties with Zhejiang University, where he is a Visiting Professor and Distinguished International Scholar.

Bo Zhuمشاهده پروفایل

استادیار

• Computer Graphics
• Computational Physics
• Scientific Machine Learning
• +۳ مورد دیگر

Bo Zhu is an Assistant Professor in the School of Interactive Computing at Georgia Institute of Technology. His research focuses on computational approaches for complex physical systems, including fluid dynamics, topology optimization, and robotics control. He holds a Ph.D. from Stanford University and completed postdoctoral research at MIT CSAIL. He has been recognized with the NSF Career Award (2022) and multiple best paper awards at SIGGRAPH conferences. Education: B.E.-M.S., Software Engineering, Shanghai Jiao Tong University Ph.D., Computer Science, Stanford University Postdoc, EECS, MIT Research Interests: Develops numerical algorithms and machine learning techniques to simulate fluidic systems, soft materials, and multi-scale phenomena. His work emphasizes vorticity preservation, real-time simulation, and physics-based AI integration. Key Contributions: Pioneered Particle Flow Map (PFM) methods for fluid simulation, developed open-source libraries like SimpleX and PFM Hub, and contributed to projects like Genesis physics engine. Over 50 peer-reviewed publications in top venues (SIGGRAPH, NeurIPS, IEEE TVCG). Awards: NSF Career Award (2022) Best Paper Honorable Mention (SIGGRAPH 2025) Best Paper Award (SIGGRAPH Asia 2024) Grants & Projects: Leads NSF-funded research on Physical AI Design, collaborating with Sandia National Labs on real-time CFD solvers. Active in open-source software development for computational physics and graphics.

• Parallel Computing
• Scientific Computing
• Adaptive Mesh Refinement
• +۳ مورد دیگر

Martin Berzins is a Professor of Computer Science at the University of Utah, affiliated with the School of Computing and the Scientific Computing and Imaging (SCI) Institute. His research focuses on parallel scientific computing, numerical methods for partial differential equations, and high-performance computing frameworks. He is a leading developer of the Uintah framework, a scalable simulation tool used for large-scale engineering and scientific problems. Research Interests : Parallel algorithms, adaptive mesh refinement, material point method (MPM), exascale computing, computational fluid dynamics, and performance portability. His work emphasizes scalable software solutions for complex multiscale and multiphysics simulations, with applications in environmental modeling, explosive detonation analysis, and computational mechanics. Recent articles highlight advancements in Uintah's portability to exascale systems, error estimation in MPM, and high-order numerical methods. Berzins has contributed significantly to the development of task-based parallelism strategies and heterogeneous computing optimizations. His research bridges theoretical numerical analysis with practical large-scale computational challenges. Collaborations include DOE projects on hazard analysis and exascale computing. He has pioneered the integration of runtime systems like Hedgehog with Uintah to enhance scalability on modern architectures. His work ensures computational frameworks remain viable for emerging hardware trends, emphasizing both algorithmic innovation and software engineering rigor.

Mahdi Taiebatمشاهده پروفایل

استاد

• Theoretical Geomechanics
• Computational Geomechanics
• Constitutive Modeling
• +۳ مورد دیگر

Dr. Mahdi Taiebat is a Professor in the Department of Civil Engineering at the University of British Columbia (UBC), affiliated with the Faculty of Applied Science. He specializes in theoretical and computational geomechanics, constitutive modeling, granular materials mechanics, and geotechnical earthquake engineering. His research addresses challenges at the intersection of engineering, physics, and applied mathematics. He leads the Theoretical & Applied Geomechanics (TAG) research group and has co-authored over 150 scientific papers. Educations: B.Sc. and M.Sc. in Civil Engineering, Sharif University of Technology, Iran (2001, 2003) Ph.D. in Civil Engineering, University of California, Davis, USA (2008) Research Interests: Theoretical and computational geomechanics Constitutive modeling of engineering materials Physics and mechanics of granular materials Geotechnical earthquake engineering Static and dynamic soil-structure interaction Awards & Honors: Norman Medal (ASCE, 2012) Discovery Accelerator Supplement (NSERC, 2015) Professor Appreciation Award (UBC Civil Engineering Undergraduate Student Club, 2011) Postdoctoral Research Fellowship, Norwegian Geotechnical Institute (2008-2009) His work includes advising graduate students on geomechanics and geotechnical earthquake engineering, with emphasis on programming skills (C++, Fortran, Python) and competency in solid/fluid mechanics. The TAG group focuses on advanced numerical methods and experimental validation, collaborating internationally on projects like the LEAP initiative. His research spans constitutive model development (e.g., SANISAND/SANICLAY), seismic site response analysis, and liquefaction mitigation strategies.

Wojciech Solowskiمشاهده پروفایل

دانشیار

• Geotechnical Engineering
• Computational Geomechanics
• Numerical Modeling of Soils
• +۷ مورد دیگر

Dr. Wojciech Solowski is an Associate Professor at Aalto University , specializing in computational simulations of soils and granular materials with a focus on numerical methods and constitutive modeling. His research spans geotechnical engineering, environmental geomechanics, and computational mechanics. Research Interests : Numerical modeling (FEM/MPM), THMC behavior of soils, unsaturated soil mechanics, soil improvement, frost susceptibility, ground vibrations, and laboratory testing. Scientific Contributions : Dr. Solowski has extensively advanced the Material Point Method (MPM) for large deformation problems in geotechnics and developed the in-house finite element code Thebes for THMC coupling simulations. His work addresses critical challenges in nuclear waste repositories, soft soil stabilization, and offshore sediment characterization. Publication Trends : Recent articles focus on MPM for marine clay analysis, THMC coupling in bentonite barriers, 3D shrinkage deformation measurements, and geophysical-geotechnical integration for offshore wind farms. His research emphasizes practical applications in energy transition and infrastructure resilience. Affiliations : Mineral Based Materials and Mechanics research group at Aalto University. Committee Roles : International Secretary of the Finnish Geotechnical Society; member of ISSMGE TC106 (unsaturated soils) and ERTC7 (numerical methods).

• Applied Mathematics
• Fluid Mechanics
• Theoretical Mechanics
• +۳ مورد دیگر

Professor Andrew Bassom is a Professor of Applied Mathematics and Head of Discipline in Mathematics at the University of Tasmania's School of Natural Sciences. He holds a PhD and has held prior appointments at the University of Western Australia (UWA) and the University of Exeter (UK). His research focuses on fluid mechanics, differential equations, and mathematical modelling with applications to ocean flows, geophysics, and biomedical engineering (e.g., ventilation of premature babies). Research Interests: Applied mathematics, theoretical and applied mechanics, fluid dynamics, and nonlinear systems. Recent work involves magnetic bubble dynamics, climate system hyperbolicity, thermal convection patterns, and seismicity modelling in mining contexts. Grants & Projects: Key projects include: A$460,000 ARC Discovery Project (2019–2023) studying Antarctic ice-sheet collapse via seismic signals. A$15,000 ARC College of Experts 2023 nomination grant. Modelling mining-induced seismicity using the Material Point Method (MPM). Teaching & Supervision: Teaches third-year/honours applied mathematics units. Current doctoral supervision includes projects on climate system hyperbolicity, non-spherical bubbles, and ice-rock interface dynamics. Completed students include Earl Sullivan Lester (dark matter cosmology) and Gysbert Basson (MPM applications in mining). Publications: Over 228 peer-reviewed articles, emphasizing fluid mechanics innovations and interdisciplinary applications. Recent trends focus on geophysical fluid dynamics, climate modelling, and computational methods for complex systems.

• Geotechnical Earthquake Engineering
• Discrete Element Method (DEM)
• Lattice Boltzmann Method (LBM)
• +۸ مورد دیگر

Nicholas Sitar is the Edward G. Cahill and John R. Cahill Professor of Civil Engineering at the University of California, Berkeley , affiliated with the Department of Civil and Environmental Engineering under the College of Engineering. His career spans decades of pioneering work in geotechnical earthquake engineering and computational geomechanics. Education : Ph.D. in Civil Engineering (Geotechnical) from Stanford University (1979), M.S. in Geology (Hydrogeology) from Stanford University (1975), B.A.Sc. in Geological Engineering from the University of Windsor, Canada (1973). Research Interests : Dr. Sitar’s research focuses on geotechnical earthquake engineering , seismic slope stability , and rock erosion , with a strong emphasis on computational methods like the Discrete Element Method (DEM) and Lattice Boltzmann Method (LBM). He pioneered the application of wireless sensor networks for seismic monitoring and developed advanced DEM-LBM coupling techniques to model rock-fluid interactions, including tsunami waves triggered by rock slope failures and scour in unlined rock channels. Publication Trends : His recent work highlights 3D numerical modeling of granular flows, rock slope kinematics, and depositional fabric analysis using X-ray tomography. He explores seismic earth pressures, levee stability under variable seepage, and dynamic rock-water interactions, often integrating stochastic methods and high-fidelity simulations. Contact : He can be reached at sitar@berkeley.edu in his office at 449 Davis Hall, with office hours on Wednesdays and Thursdays.

• Geotechnical Engineering
• Soil Mechanics
• Material Point Method (MPM)
• +۷ مورد دیگر

Michael Hicks is a Professor at Delft University of Technology (TU Delft) in the Civil Engineering & Geosciences school, specializing in Geo-engineering . His research focuses on geotechnical risk assessment, soil variability, and advanced numerical methods like the Material Point Method (MPM) to model slope failures, earthquake simulations, and soil-structure interactions. Editorial board member for Géotechnique , Georisk , and Computers and Geotechnics (2019) Keynote speaker at workshops on slope failure modeling (2018) Active in public engagement about flood risk management (2017–2018) His work addresses challenges in soil heterogeneity, dynamic boundary conditions, and reliability-based design for infrastructure. Notable contributions include developing probabilistic MPM frameworks and machine learning tools for CPT data interpretation, with applications in earthquake resilience and radioactive waste repository safety. Recent publications highlight innovations in 3D slope stability analysis, nonlocal soil deformation modeling, and thermomechanical interface behavior under cyclic loading. Collaborations span academia and industry, focusing on improving numerical accuracy and understanding failure mechanisms in geotechnical systems.

Sreejith Nadakkal Appukuttanمشاهده پروفایل

پژوهشگر

• Computational Fluid Dynamics
• Aerodynamics
• Propulsion
• +۹ مورد دیگر

Sreejith Nadakkal Appukuttan is a Researcher III in the Computational Science Center at the National Renewable Energy Laboratory (NREL). He specializes in numerical methods for high-performance computation of reacting and non-reacting fluid flows. Education: PhD in Energy and Transfer from Institute National Polytechnique de Toulouse Master of Aerospace Engineering from Indian Institute of Technology Kanpur Bachelor of Mechanical Engineering from National Institute of Technology Warangal His research focuses on computational fluid dynamics, aerodynamics, propulsion, and combustion, with applications to energy systems, sustainable technologies, and exascale computing. He has developed solvers for reacting flows using advanced techniques like adaptive mesh refinement (AMR) and material point method (MPM). Scientific Awards: None explicitly mentioned. Professional Experience: Lead Engineer at General Electric India Technology Center (2011–2017) Engineer at BrahMos Aerospace (2007–2009) Collaborations: Active in computational science networks, focusing on material point method, reacting flows, and exascale computing.

Carolina Tallonمشاهده پروفایل

دانشیار

• Ceramics Processing
• Colloidal Processing
• Surface Science
• +۵ مورد دیگر

Dr. Carolina Tallon is an Associate Professor in the Department of Materials Science and Engineering at Virginia Polytechnic Institute and State University (Virginia Tech). She leads the Tallon Research Group, focusing on advanced ceramic materials for extreme environments. Her work emphasizes colloidal processing techniques, near-net-shaping methods, and modeling of materials properties. Education: B.E. in Chemical Engineering, Universidad de Granada, Spain Ph.D. in Chemistry (joint program), Universidad Autonoma de Madrid & Institute of Ceramics and Glass (CSIC) Research Interests: Ceramics Processing Ultra-High Temperature Ceramics (UHTCs) Multi-Scale Porous Materials Near-Net-Shaping Techniques Surface Science & Rheology Materials Properties Modeling Recent Research Trends: Dr. Tallon's work highlights innovative methods to fabricate complex ceramic geometries with controlled microstructures. Key areas include optimizing solvent systems for UHTC shaping, developing HERO coatings for refractory alloys, and simulating thermomechanical behavior of porous ceramics under extreme conditions. Awards: Jubilee Global Diversity Award (ACerS Engineering Ceramics Division, 2020) Advising & Grants: Supervises graduate students like Sydney Hulse and Hui-Chun (June) Yu. Active in securing grants, including a 2021 award for additive manufacturing infrastructure. Collaborates on projects involving cellulose nanomaterials and laser powder bed fusion. Labs & Facilities: Leads the Tallon Research Lab at Virginia Tech, equipped for advanced ceramic processing, thermal analysis, and microstructural characterization. Engages in outreach to promote STEM education and sustainable manufacturing practices.

• Computational Mechanics
• Offshore Geotechnics
• Finite-Deformation Mechanics
• +۵ مورد دیگر

Professor William Coombs is a Professor in the Department of Engineering at Durham University. He holds a first-class MEng in Civil Engineering (Durham University, 2008) and a PhD in Engineering (Durham University, 2011). His core research focuses on computational mechanics, particularly material constitutive models, finite-deformation mechanics, non-linear finite elements, and the Material Point Method (MPM). He leads projects in offshore geotechnical engineering for renewable energy applications, including cable burial and braced excavations. His work emphasizes open-source tools like the AMPLE MPM code. Grants & Collaborations: EPSRC-funded project EP/W000970/1 (Offshore Cable Burial Depth Analysis) EPSRC project EP/X024849/1 (Braced Excavation Modeling) Leadership in the Aura CDT for Offshore Wind Energy, training 130+ PhD students. Research Interests: Elasto-plasticity and fracture mechanics Non-mesh-based methods (MPM, DG-FEM) Offshore geotechnics and wind energy infrastructure Ice fracture and calving processes Students & Supervision: Supervises research on MPM applications, offshore socio-ecological systems, glacier modeling, and composite material optimization. Accepts new PhD students in aligned fields. Labs & Teams: Leads the Computational Mechanics Research Node within Durham's Engineering Department, fostering collaborations on numerical methods and industrial applications.

• Computational Mechanics
• Finite Element Analysis
• Material Point Method
• +۳ مورد دیگر

Dr. Veronika Singer is a Postdoctoral Researcher (Akademische Rätin a.Z.) at the Chair of Statics and Dynamics, Technical University of Munich, working under Prof. Dr.-Ing. habil. Roland Wüchner since October 2024. Previously, she served as an Academic Councillor at the Chair of Structural Analysis under Prof. Dr.-Ing. Kai-Uwe Bletzinger from December 2020 to September 2024, and as a Research Assistant from April 2017 to November 2020. Her educational background includes: M.Sc. in Civil Engineering from Technical University of Munich (2014-2017), with thesis on 'Detailed lateral-torsional buckling investigations of steel profiles and frame systems' B.Sc. in Civil Engineering from Technical University of Munich (2010-2014), with thesis on 'Beam elements for linearly variable cross-sections' Dr. Singer's research focuses on advanced computational methods for structural analysis, particularly the Material Point Method (MPM) and its applications in natural hazard simulation. She has pioneered innovative coupling strategies between MPM and Finite Element Method (FEM), as well as MPM and Discrete Element Method (DEM), to address complex multiphysics problems involving large deformations. Her work has significant applications in simulating granular mass flows and designing protective structures against natural disasters, contributing to improved infrastructure resilience. Her publication record shows a consistent trajectory of high-impact research in computational mechanics, with a concentration on partitioned coupling approaches that enable more efficient and accurate simulations of complex engineering problems. The research demonstrates increasing sophistication in handling boundary conditions, large deformations, and multiphysics interactions. Her scientific contributions have been recognized with multiple teaching awards: Doce et Delecta, 3rd prize for Statics 1 in the 'NextGen & Young Talents' category (July 2025) Doce et Delecta, 1st Prize for Statics 2 (July 2024) Certificate of University Teaching at Bavarian Universities (December 2022) Multiple previous Doce et Delecta awards (2018, 2019) Dr. Singer actively supervises student theses across computational mechanics topics, with over 20 completed projects ranging from element formulation to natural hazard simulation. She is involved in research projects including CoDA, MistralWind, WINSENT, and FlexWing, focusing on advanced computational methods for structural analysis and natural hazard mitigation. She is an integral member of the Chair of Statics and Dynamics research team, collaborating on developing more reliable simulation tools for civil engineering applications, particularly in natural hazard contexts. Her work bridges theoretical computational mechanics with practical engineering solutions for infrastructure protection.

David Reidمشاهده پروفایل

پژوهشگر ارشد

• Geotechnical Engineering
• Soil Mechanics
• Tailings Management
• +۳ مورد دیگر

David Reid is an Adjunct Research Fellow at The University of Western Australia's School of Engineering, specializing in Civil, Environmental and Mining Engineering. His expertise focuses on geotechnical engineering, soil mechanics, and tailings management, with significant contributions to understanding critical state soil mechanics and tailings stability. His work addresses UN Sustainable Development Goals related to environmental sustainability and disaster risk reduction. Research interests include critical state line analysis, cone penetration test (CPT) applications, liquefaction triggering mechanisms, and the behavior of mine tailings under various stress conditions. He has pioneered methods for specimen preparation, stress path analysis, and polymer treatment effects in geotechnical materials. Key contributions include over 58 publications analyzing tailings stability, CPT data interpretation, and static liquefaction risks. His work often combines experimental testing with numerical modeling, such as Material Point Method (MPM) simulations. He has collaborated on industry-funded projects like TAILLIQ, advancing tailings engineering practices. Two grants funded the development of mini calibration chambers for CPT testing. His research emphasizes reproducibility in geotechnical testing and improving field-scale performance predictions for tailings storage facilities. He has supervised two research projects and contributed to international discussions on tailings dam safety and failure analysis.

Pedro Navasمشاهده پروفایل

دانشیار

• Computational Mechanics
• Geotechnical Engineering
• Solid Dynamics
• +۶ مورد دیگر

Pedro Navas serves as Associate Professor at the Department of Continuum Mechanics and Structural Theory within the Civil Engineering School of Universidad Politécnica de Madrid (Technical University of Madrid). His academic progression includes Assistant Professor (2019-2022), Contract Doctor Professor (2022-present), with upcoming appointment as Department Director (September 2024). He also contributes as a member to the R&D+i Center for Smart and Sustainable Civil Infrastructure (CIVILis) since November 2024. His educational background includes PhD studies in Computational Mechanics at the University of Castilla-La Mancha (2013-2017) followed by a PostDoc position at the Polytechnic University of Catalonia (2017-2018). Navas specializes in computational mechanics with particular expertise in Material Point Method applications for large deformation problems in geotechnical engineering. His research spans soil-water coupled problems, landslide modeling, biomechanics, and numerical methods for saturated soils. Current projects focus on 'Meshfree modeling of dynamic problems in civil engineering,' employing techniques like MPM, OTM, and PFEM. His technical skills encompass Differential Equations, Numerical Modeling, Nonlinear Dynamics, and Mathematical Modeling across civil engineering applications. His publication record demonstrates consistent output in computational geomechanics, with recent work emphasizing two-phase modeling, stabilization techniques for numerical methods, and interdisciplinary applications in medical engineering. The research shows strong methodological development in meshfree approaches with practical applications to geotechnical challenges. Juan de la Cierva - Formación Scholarship (June 2018) Navas maintains active collaborations with researchers across Spain and internationally, evidenced by co-authorship with institutions including Polytechnic University of Catalonia, King's College London, and various Spanish research centers. His work bridges theoretical numerical methods with practical engineering applications across civil infrastructure and biomedical contexts.

• Geotechnical Engineering
• Computational Geomechanics
• Soil Mechanics
• +۵ مورد دیگر

Michael A. Hicks is a Professor in the Department of Geo-engineering within the Faculty of Civil Engineering & Geosciences at Delft University of Technology (TU Delft). His research focuses on computational geomechanics, soil mechanics, and probabilistic analysis of geotechnical structures. His primary research interests include: Material Point Method (MPM) and computational techniques for geomechanics Slope stability analysis and reliability assessment Soil heterogeneity and spatial variability Earthquake engineering and seismic response analysis Probabilistic methods in geotechnical engineering Professor Hicks' recent work demonstrates a strong trend toward integrating advanced computational methods with geotechnical engineering challenges. His research increasingly incorporates machine learning applications for site characterization while maintaining a strong foundation in fundamental soil mechanics. The publications show consistent focus on improving numerical methods for simulating complex geomechanical behavior, particularly related to slope failures, soil heterogeneity, and earthquake response. His scientific contributions include editorial roles for major geotechnical journals: Editorial board member for Géotechnique (2019) Editorial board member for Georisk: assessment and management of risk for engineered systems and geohazards (2019) Editorial board member for Computers and Geotechnics (2019) Professor Hicks has been actively involved in public engagement, with media coverage on topics including earthquake damage in Groningen (2018), dike safety (2017), and flood risk reduction in the Netherlands (2017). His research group at TU Delft focuses on developing and applying advanced computational methods to solve complex geotechnical engineering problems, with particular emphasis on reliability analysis and uncertainty quantification.