جست‌وجوی استاد و پژوهشگر

• Structural Engineering
• Heritage Conservation
• Computational Modeling
• +۶ مورد دیگر

Marco Francesco Funari is a Lecturer in Civil and Environmental Engineering at the University of Surrey, affiliated with the School of Sustainability, Civil and Environmental Engineering within the Faculty of Engineering and Physical Sciences. He holds a MSc in Architectural Engineering (2015) and PhD in Structural Engineering (2019) from the University of Calabria, Italy, with postdoctoral research at the University of Minho (2020–2022) focusing on heritage masonry structures. His research integrates computational methods, structural analysis, and cultural heritage preservation. Education: MSc in Architectural Engineering, University of Calabria (2015) PhD in Structural Engineering, University of Calabria (2019) Postgraduate Certificate in Learning and Teaching in Higher Education, University of Surrey (2024) Research Interests Funari’s work centers on structural integrity of existing and heritage structures, computational optimization, and crack propagation in layered materials. He develops analytical/numerical methods for seismic assessment of masonry buildings and low-carbon concrete technologies. Key topics include masonry pattern generation, digital twins for heritage conservation, and stochastic earthquake modeling. Publications Overview Recent work focuses on pushover analysis of historic masonry, generative modeling of temples, and seismic resilience of monumental structures. His methods combine limit analysis, discrete element modeling, and machine learning to address challenges in heritage preservation and sustainable materials. Grants & Collaborations Contributed to EU projects OPHERA and ERC Stand4Heritage, developing frameworks for masonry assessment. Collaborations include University of Minho, University of Dundee, and international heritage institutions. Labs & Teams Leads research on masonry structural analysis and low-carbon materials at the University of Surrey. Engages with interdisciplinary teams in computational modeling and heritage engineering.

• Computational Mechanics
• Multiscale Materials
• Gradient Elasticity
• +۶ مورد دیگر

Harm Askes is a Full Professor in the Department of Civil and Structural Engineering at the University of Sheffield. His research focuses on computational mechanics of multiscale materials, particularly in gradient elasticity, homogenization, and metamaterials. He holds degrees from Delft University of Technology (MSc, PhD) and a DEng from the University of Sheffield. His work contributes to UN Sustainable Development Goals through advanced material modeling and structural analysis. Key research areas include wave propagation in heterogeneous media, dynamic homogenization, and fracture mechanics. Collaborations span international institutions, with notable contributions to lattice material mechanics and finite element methodologies. His publications reflect expertise in multiscale modeling, with a focus on bridging microstructural details to macroscale behavior. Dr. Askes has an h-index of 20 and over 1,108 citations. His research integrates computational techniques with experimental validation, addressing challenges in material characterization and structural integrity. Ongoing projects explore stochastic material behavior and the design of advanced composite systems. His academic contributions include editorial roles, supervision of postgraduate research, and development of innovative numerical methods for engineering applications. Theoretical frameworks developed by his team, such as gradient-enriched continuum models, are widely applied in computational mechanics.

Julia Bennellمشاهده پروفایل

استاد

• Operational Research
• Logistics Optimization
• Cutting and Packing Algorithms
• +۵ مورد دیگر

Professor Julia Bennell is the Executive Dean of Leeds University Business School, overseeing academic and strategic operations. She holds a First Class Honours degree in Mathematics and Management Science (1994) and a PhD in Management Science (1998) from the University of Swansea. Previously, she served as Professor of Management Science at the University of Southampton Business School (promoted 2010), where she directed CORMSIS (a leading UK OR/MS group), led the Department of Decision Analytics and Risk Research (2012–2015), and acted as Deputy Head of School (2015–2018). Her roles also included executive coaching and mentoring. Her research focuses on optimization models for logistics, particularly cutting and packing, vehicle routing, scheduling, network design, and heuristic algorithms. She has published over 45 papers in top journals like European Journal of Operational Research and has secured £1+ million in research funding from EPSRC, BBSRC, and KTP. She chairs the European Working Group on Cutting and Packing and holds leadership roles in the Association of European Operational Research Societies. Bennell’s teaching spans 20 years across undergraduate, postgraduate, and MBA programs, emphasizing operational research and management science through industry-driven problems. She advises current postgraduate researcher Nesma ElShishtawy. Her professional activities include keynote speaking at major conferences (EURO, IFORS), guest editing, and organizing international conferences. She maintains strong industry ties through consultancy, HMRC training programs, and collaborations with SMEs and government bodies.

Kristian Ranestadمشاهده پروفایل

استاد

• Algebraic Geometry
• Projective Geometry
• Hyperkähler Varieties
• +۴ مورد دیگر

Kristian Ranestad is a Professor at the Department of Mathematics, University of Oslo. He specializes in Algebraic Geometry with a focus on projective algebraic geometry, particularly surfaces in four-dimensional space, varieties of small codimension, hyperkähler varieties, and abelian varieties. His work also explores applications in elliptic curve cryptography, phylogeny, and semidefinite programming. His research interests span a wide range of topics including the geometry of algebraic varieties, moduli spaces, and computational algebraic geometry. Notably, he has contributed to studies on canonical forms, spectrahedra, and the convex hulls of algebraic surfaces. He collaborates extensively with researchers like Bernd Sturmfels, Frank-Olaf Schreyer, and others, focusing on problems at the intersection of algebra, geometry, and optimization. Ranestad has advised numerous PhD students, including Martin Helsø, Elise Øby, and Johannes Kleppe, whose theses cover topics like determinantal quartic hypersurfaces and apolar varieties. His recent work includes studies on adjoints of algebraic varieties, quartic spectrahedra, and the geometry of cubic surfaces. His publications highlight advancements in understanding varieties of sums of powers, the algebraic degree of optimization problems, and the geometry of moduli spaces. Despite no explicitly listed awards, his contributions have been recognized through invited lectures and editorial roles in leading journals.

Francesco Marescaمشاهده پروفایل

دانشیار

• Materials Science
• Mechanical Engineering
• Computational Mechanics
• +۵ مورد دیگر

Francesco Maresca is an Associate Professor in the Computational Mechanical and Materials Engineering group within the Faculty of Science and Engineering at the University of Groningen. His research focuses on multi-scale modeling of materials, particularly in understanding the structure-property relationships in alloys through atomistic and continuum methods. He leads the Multi-Scale Mechanics (MSM) research group and has made significant contributions to the fields of dislocation plasticity, fracture mechanics, and high-entropy alloys. Education: PhD in Mechanical Engineering (Mechanics of Materials), cum laude, TU Eindhoven (2015) M.Sc. in Civil Engineering (Structural/Solid Mechanics), cum laude, University of Florence (2011) B.Sc. in Civil Engineering, cum laude, University of Florence Research Interests: Maresca's research spans multi-scale modeling of materials, with a focus on dislocation plasticity , phase transitions , and fracture in alloys . His group applies these methods to tackle challenges such as hydrogen embrittlement and liquid metal embrittlement in steels, functional fatigue in shape memory alloys, and the strength/ductility trade-off in high-entropy alloys. They employ a range of techniques including molecular dynamics, crystal plasticity, and machine learning to bridge scales from atomistic to continuum. Publication Trends: His recent work (2024-2025) shows a strong emphasis on atomistic and multi-scale modeling of dislocation behavior, fracture, and strengthening mechanisms in advanced alloys. Key themes include the application of machine learning to develop accurate interatomic potentials, the study of grain boundaries and twin interfaces, and the investigation of embrittlement phenomena in steels. This reflects a trend toward integrating computational methods with experimental validation to address real-world material challenges. Scientific Awards: Biezeno award 2016 for Solid Mechanics (Best PhD thesis in Solid Mechanics in the Netherlands) Young Academic’s award 2016 (Best PhD thesis in Europe in metallurgy and materials science of steels) Nominated Emerging Leader 2021 by the journal Modelling and Simulation in Materials Science and Engineering Advising and Grants: Maresca currently supervises one postdoctoral researcher, four PhD students, and several master's and bachelor's students. His group's research is supported by grants focused on multi-scale modeling of materials, including projects on hydrogen embrittlement, shape memory alloys, and high-entropy alloys. He collaborates extensively with institutions such as EPFL (where he was a postdoc) and TU Eindhoven, and with researchers like Prof. E. Van der Giessen on discrete dislocation plasticity. Labs and Teams: He leads the Multi-Scale Mechanics (MSM) research group at the Engineering and Technology Institute Groningen (ENTEG), which is part of the Faculty of Science and Engineering. The group operates within a collaborative environment that includes access to high-performance computing resources and partnerships with experimental groups for validation studies.

Harald van Brummelenمشاهده پروفایل

استاد

• Computational Science and Engineering
• Multiscale Flow Problems
• Fluid-Structure Interaction
• +۸ مورد دیگر

Prof. Harald van Brummelen is a Full Professor and group leader of the Multiscale Engineering Fluid Dynamics Group at Eindhoven University of Technology (TU/e) in the Netherlands. His academic career spans appointments at Delft University of Technology (2001-2009) and a secondary role in the Department of Mathematics and Computer Science at TU/e. Van Brummelen specializes in advanced numerical techniques for multiscale flow problems, with applications in semiconductor lithography and inkjet printing. Academic Background: MSc in Mechanical Engineering (1997), Twente University of Technology PhD (2002), University of Amsterdam (Mathematical Institute) Research Interests: Fluid-Structure Interaction Free-Boundary and Interface Problems Phase-Field Models and Isogeometric Analysis Kinetic Models and Boltzmann Equation Error Estimation and Adaptivity Immersed Methods and Reduced-Order Modeling Scientific Contributions: Developed entropy-stable discretization techniques Led projects on multiscale fluid dynamics Advancements in preconditioning immersed methods Recipient of J.-L. Lions Award and Bill Morton Prize Supervision: Mentored doctoral candidates (Ahmed Aissa Berraies, Can Bozdoğan) Supervised master's theses on topics like flow instability and turbine design Current Projects: FIP 2.0: Complex Fluids on Complex Substrates (2020-2026)

Io Ioannidiمشاهده پروفایل

استاد مهمان

• Earth Sciences
• Geophysics
• Numerical Modeling
• +۳ مورد دیگر

Io Ioannidi is a Visiting Professor at the Department of Earth Sciences, Faculty of Science, Vrije Universiteit Amsterdam. Her research focuses on numerical modeling in geophysics, environmental science, and atmospheric chemistry, with emphasis on Arctic aerosols, climate dynamics, and tectonic processes. She collaborates internationally on projects involving granular media deformation and plate interface metasediments. Research interests include: Geophysical numerical simulations (Discrete Element Methods, 3D modeling) Arctic atmospheric phenomena (black carbon, aerosols, haze) Tectonic processes and metasedimentary rock behavior Climate change impacts and global dimming/brightening patterns Recent studies explore wintertime Arctic air pollution patterns over Alaska, methane emission estimation via inverse models, and ancient slip events revealed through garnet fracturing analysis. Scientific contributions include 15+ peer-reviewed articles since 2020. No academic awards explicitly mentioned in available texts. No formal advisees listed. Collaborations include international teams working on granular media mechanics and Arctic atmospheric modeling.

Jens H. Kasperمشاهده پروفایل

پژوهشگر

• Wind Energy
• Granular Materials
• Fluid Dynamics
• +۲ مورد دیگر

Jens H. Kasper is a Researcher in the Physics of Fluids department at the University of Twente, specializing in wind energy systems and granular material dynamics. His current research investigates atmospheric interactions with wind farms and viscosity effects on particulate flows. He is expected to complete his PhD thesis titled 'Large-scale Interactions between Wind Farms and the Atmosphere' in 2025. Research interests focus on two primary domains: Wind Energy : Optimizing turbine configurations and modeling atmospheric boundary layer impacts on power generation Granular Materials : Analyzing flow transitions and viscosity effects in wet particulate systems using discrete element methods Publications demonstrate consistent focus on renewable energy optimization (2024) and granular flow mechanics (2019-2021), employing computational modeling and experimental analysis techniques. Collaborates with the Physics of Fluids research group, presenting work at international conferences including studies on wind farm wakes, turbine tilt effects, and atmospheric boundary layer simulations.

Pavel Solinمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Finite Element Methods
• +۳ مورد دیگر

Pavel Solin is a Professor in the Department of Mathematics and Statistics at the University of Nevada, Reno (UNR), within the College of Science. His work focuses on computational mathematics, numerical analysis, and innovative approaches to mathematics and computer science education. He has developed advanced finite element methods (FEM), including hp-FEM and discontinuous Galerkin techniques, with applications in engineering, physics, and porous media modeling. His research also emphasizes integrating computational tools into education, such as self-paced programming courses in Python, SQL, and linear algebra. Dr. Solin is the creator of the Hermes2D library, a C++ framework for adaptive hp-FEM and DG solvers, and has contributed to software for multiphysics simulations. His educational efforts include experimental curricula blending mathematics with programming and STEAM principles. Despite no listed scientific awards, his work has been published in numerous journals, reflecting his expertise in both computational methods and pedagogical innovation. His articles span adaptive methods, numerical simulations of physical phenomena, and educational methodologies. He has collaborated on projects involving electromagnetic stirring, thermal conduction, and fluid dynamics. While no advising or grant details are provided, his research lab and team focus on advancing computational techniques and their practical applications in academia and industry.

Beatrice Riviereمشاهده پروفایل

استاد

• Numerical Analysis
• Scientific Computing
• Fluid Mechanics
• +۷ مورد دیگر

Beatrice Riviere is the Noah Harding Chair and Professor in the Department of Computational Applied Mathematics and Operations Research at Rice University. Her research focuses on numerical methods for fluid mechanics and porous media, including high-order methods for multiphase flows and biomedical applications. She leads the Computational Optimization and Modeling of Porous Media (COMP-M) group, funded by the NSF and industry partners. Riviere holds an AWM Fellowship (2022), SIAM Fellowship (2021), and IACM Fellowship (2024). She has advised over 20 Ph.D. students, many of whom pursue academic or industry roles in computational science. Education: Ph.D. (2000, UT Austin), M.Sc. (1996, Penn State), Diplome d’Ingenieur (1995, Ecole Centrale Lyon). Leadership: SIAM Board of Trustees Chair, President of SIAM TX-LA Section (2020-2022), former Department Chair (2015-2018). Publications: Over 100 peer-reviewed articles and two books on discontinuous Galerkin methods and numerical analysis. Her research interests span numerical methods for PDEs, scientific machine learning, and pore-scale modeling. Recent work includes PDE-based neural networks for medical image segmentation and high-performance computing for multiphase flow simulations. Grants & Funding: NSF awards, collaborations with oil/gas industry, and Gulf Coast Consortia for Quantitative Biomedical Sciences. Labs/Teams: COMP-M develops algorithms for energy, biomedical, and environmental applications. Collaborates on cardiovascular mechanics and computational biomedicine.

Kyriakos Alexandros Chondrogiannisمشاهده پروفایل

پژوهشگر

• Structural Engineering
• Metamaterials
• Vibration Attenuation
• +۳ مورد دیگر

Dr. Kyriakos Alexandros Chondrogiannis is a Researcher affiliated with ETH Zurich's Department of Civil, Environmental and Geomatic Engineering. He holds a PhD from ETH Zurich (2024) focusing on seismic protection using nonlinear mechanisms and metamaterials, preceded by a diploma in Structural Engineering from the National Technical University of Athens (2019). He received the ETH Pioneer Fellowship in 2024 to commercialize technologies from his doctoral research. Education: PhD, ETH Zurich (2024): Research on seismic protection with nonlinear metamaterials Diploma in Civil Engineering, NTUA (2019): Specialization in structural engineering of wind turbine towers Research Interests: His work centers on nonlinear mechanical systems for vibration attenuation, including metamaterial design, geometric nonlinearities, and impact dynamics. He explores applications in structural health monitoring, seismic protection, and energy dissipation through experimental and computational methods. Key Contributions: His research bridges theoretical concepts like negative stiffness and locally resonant metamaterials with practical applications in vibration control. Experimental validations and numerical analyses form the core of his methodologies. Awards: ETH Pioneer Fellowship (2024): Supports technology commercialization of his PhD-developed vibration mitigation systems Labs/Teams: He is part of the Structural Mechanics and Monitoring group at ETH Zurich, focusing on advanced structural dynamics and metamaterial innovation.

• Surface Science
• Fluid Dynamics
• Wetting Phenomena
• +۱ مورد دیگر

Dr. Abhinav Naga is a Research Fellow at the University of Edinburgh's School of Engineering, affiliated with the Multiscale Thermofluids Institute. His research examines interfacial phenomena and droplet dynamics on engineered surfaces. He specializes in computational modeling of wetting behavior, friction reduction, and fluid-surface interactions using coupled lattice Boltzmann and discrete element methods. Current investigations focus on superhydrophobic surfaces, lubricant-infused interfaces, and nanoscale fluid behavior. Recent publications analyze droplet-particle interactions, plastron design for bubble capture, viscous dissipation in lubricant layers, and polarity-induced wetting mechanisms. Work contributes to developing zero-friction surfaces and optimized liquid-repellent materials.

Hongqiu Chenمشاهده پروفایل

استاد

• Partial Differential Equations
• Fluid Mechanics
• Nonlinear Dispersive Waves
• +۲ مورد دیگر

Hongqiu Chen is a Professor in the Department of Mathematical Sciences at the University of Memphis, where he has been since 2000, advancing to full professor in 2018. His research focuses on partial differential equations and fluid mechanics, particularly nonlinear dispersive wave phenomena. He has held visiting positions at institutions including Université Bordeaux 1, Tohoku University, and National Taiwan University, and has organized significant conferences like the Differential Equations Weekend. Ph.D. in Mathematics, University of Texas at Austin (1998) M.S. in Mathematics, Institute of Systems Science, Academia Sinica, China (1988) B.S. in Applied Mathematics, Chengdu University of Sciences and Technology (1983) Chen’s research spans the existence, stability, and numerical analysis of solitary and periodic traveling-wave solutions for equations like BBM, KdV, and Boussinesq-type systems. His work addresses well-posedness, boundary-value problems, and the interplay between dispersion and nonlinearity, with applications to fluid dynamics and coastal engineering. His refereed publications include studies on conservative numerical methods, orbital stability of waves, and long-period limits of dispersive equations. Collaborations with prominent mathematicians like Jerry L. Bona and Ohannes Karakashian highlight his interdisciplinary approach. Scientific Awards: Alfred Sloan Dissertation Fellowship (1997) NSF-AWM Travel Award (2004) Nonlinearity Most Highly Downloaded Article (2004) Invited Professor at University of Reading (2005) Chen has advised a postdoctoral researcher (Xiaojune Wang, 2014-2015), a Master’s student (Tai Nguyen, 2020), and a Ph.D. candidate (Pamela Guerrero, expected 2025). He has secured external funding from the National Science Foundation and internal grants for research and conference organization.

Danielle TAN Sمشاهده پروفایل

مدرس ارشد

• Fluid Mechanics
• Rheology of Granular Mixtures
• Discrete Element Method (DEM) Modelling
• +۳ مورد دیگر

Danielle TAN S is a Senior Lecturer in the Department of Mechanical Engineering at the National University of Singapore (NUS), affiliated with the College of Design and Engineering. Her research focuses on fluid mechanics, granular materials, and computational modeling techniques. She holds a Ph.D. in Theoretical & Applied Mechanics from Cornell University (USA), a Master of Engineering (1st Class Honours) from Imperial College London (UK), and a Diploma from the City and Guilds of London Institute. Her research interests include the rheology of granular mixtures, discrete element method (DEM) modeling, and fluid dynamics. She has published extensively on topics such as moisture effects in granular materials, DEM simulation accuracy, and flow dynamics around cylinders. Her work bridges computational mechanics with experimental validation, contributing to geotechnical engineering and environmental fluid mechanics. Recent publications (2013-2014) highlight her focus on DEM applications in pavement engineering, granular segregation dynamics, and fluid-structure interactions. She maintains an active Google Scholar profile and is based at E1-05-30, NUS.

• Physical Chemistry
• Applied Mathematics
• Numerical and Computational Mathematics
• +۳ مورد دیگر

Steven Dargaville is a Research Fellow in the Department of Earth Science & Engineering at Imperial College London, part of the Faculty of Engineering. His research focuses on numerical methods for energy systems, including battery chemistry modeling and Boltzmann transport applications. He holds an Orcid identifier (0000-0002-8890-7437) and is affiliated with the Royal School of Mines campus. His work emphasizes parallel computing, adaptive mesh refinement, and finite element methods applied to nuclear science and radiative transfer. Research Interests: Modeling phase transitions in LiFePO₄ batteries Numerical methods for Boltzmann transport (e.g., multigrid, adaptive angular discretization) Applications in civil nuclear energy, radiative transfer, and lattice Boltzmann methods Publications Trends: Recent work (2020–2025) emphasizes scalable algorithms for Boltzmann transport, AI integration in nuclear modeling, and angular adaptivity techniques. Earlier research (2010–2015) centered on LiFePO₄ cathode phase behavior using phase-field models. Awards: None explicitly listed in the provided text. Advising/Grants: No student names or grant details provided. His research is likely funded through Imperial College projects or external grants in computational physics/engineering. Labs/Teams: Likely affiliated with Imperial’s Energy Futures Lab or Nuclear Energy Systems Group, though exact lab names are unspecified.