جست‌وجوی استاد و پژوهشگر

Vincent Tanمشاهده پروفایل

استاد

• Computational homogenization
• Multiscale modelling
• Bioinspired composites
• +۵ مورد دیگر

Vincent Tan is a Dean’s Chair Professor and Deputy Head (Admin & Finance) at the Department of Mechanical Engineering, National University of Singapore. He holds a PhD in Mechanical Engineering from Northwestern University (1998), and BEng/MEng degrees from NUS (1994). PhD, Northwestern University (1998) BEng and MEng, National University of Singapore (1994) His research focuses on computational homogenization , multiscale modeling , bioinspired composites , failure of composite materials , impact mechanics , and ballistics . He explores how microstructural features influence macroscopic material behavior under extreme conditions. The 15 most recent publications highlight his work on Direct FE2 methods, bioinspired helicoidal laminates, multiscale damage progression, and polymer friction modeling. These articles span computational mechanics, materials science, and biomimetics, emphasizing finite element techniques, composite material design, and nanoscale simulations. Scientific recognition includes: Fellow of the Association for Computational Mechanics (Singapore) He has secured grants from the US Air Force Office of Scientific Research, A*STAR, Defence Science Organization, Ministry of Education, Vestas, and Airbus. Vincent Tan co-chaired the 23rd International Workshop on Computational Mechanics of Materials in Singapore (2013) and serves on editorial boards of journals like Composites Part B and Mechanics of Materials .

ZHAI Weiمشاهده پروفایل

استادیار

• Materials Science
• Advanced Manufacturing
• Additive Manufacturing
• +۹ مورد دیگر

Dr. Zhai Wei is an Assistant Professor at the Department of Mechanical Engineering, National University of Singapore (NUS), where he leads the Nature-inspired Advanced Materials Engineering (NAME) Laboratory. His research focuses on the Multiscale Manufacturing of Multifunctional Materials (4M), developing advanced manufacturing techniques for creating lightweight, strong materials with multifunctional properties including acoustic, electrical, and electromagnetic capabilities. Dr. Zhai received his PhD from the University of Cambridge's Department of Engineering (2011-2015) under Professor David Cardwell, following a BEng from the University of Science and Technology Beijing's School of Materials Science & Engineering (2007-2011) and a visiting period at Tsinghua University's Department of Physics (2010-2011). His research spans advanced manufacturing of porous materials, additive manufacturing, freeze casting, and powder processing for creating alloys, composites, and hierarchical ceramics. Drawing inspiration from nature materials like nacre and bamboo, his work focuses on designing materials with multi-scale structural control from nano- to macro-length scales. His group employs a multi-disciplinary approach combining engineering, materials science, chemistry, and physics principles. Analysis of Dr. Zhai's recent publications (2021-2023) reveals a strong focus on developing multiscale manufacturing techniques, particularly direct ink writing and freeze casting, to create materials with tailored microstructures. His work demonstrates significant advancements in sound-absorbing metamaterials, bio-inspired cellular structures, and multifunctional ceramics with applications in water treatment, electromagnetic wave attenuation, and bone tissue engineering. His scientific recognition includes the A*STAR Research Highlights award received during his time at the Singapore Institute of Manufacturing Technology (2015-2019). Dr. Zhai actively recruits Research Fellows (Postdocs), Master's and PhD students, as well as visiting scholars for collaborative research. He serves as Assistant Managing Editor for Materials & Design (2017-present) and Editor for Materials Today Communications (2019-present). The NAME Laboratory at NUS focuses on developing multiple types of colloidal processing technologies that enable design and control of material composition and structure across multiple length scales. Current research directions include multi-functional cellular materials, multi-functional composite materials, multi-scale freeze casting technologies, and multi-scale additive manufacturing technologies.

• Numerical Analysis
• Partial Differential Equations
• Scientific Computing
• +۳ مورد دیگر

Prof. Dr. Willy Dörfler is a full professor at the Institute for Applied and Numerical Mathematics within the Faculty of Mathematics at Karlsruhe Institute of Technology (KIT). He leads the research group on Numerical Methods for Partial Differential Equations and teaches advanced courses including Adaptive Finite Element Methods and Modeling and Simulation of Li-Ion Batteries . His work focuses on numerical analysis, scientific computing, and multi-physics simulations. His research spans Partial differential equations with adaptive discretization Wave propagation and space-time methods Battery modeling with chemo-mechanical coupling Lattice Boltzmann techniques for fluid dynamics Applications in mechanics, optics, and electrochemistry as evidenced by his 15 most recent publications. These works emphasize finite element methods, discontinuous Galerkin approaches, and high-performance computing for complex systems. Contact: willy.doerfler@kit.edu | Office hours: Mondays 14:30–15:30 during lecture periods

Christian Wienersمشاهده پروفایل

استاد

• Scientific Computing
• Numerical Analysis
• Finite Element Methods
• +۶ مورد دیگر

Prof. Dr. Christian Wieners is a faculty member at the Institute for Applied and Numerical Mathematics , part of the Faculty of Mathematics at Karlsruhe Institute of Technology (KIT) . He has held leadership roles, including Head of the KIT Department of Mathematics (2012-2015) and Speaker of the GAMM activity group on numerical methods for PDEs (2010-2017). Academic Rank: Professor Research Focus: Scientific Computing, Discontinuous Galerkin Methods, Multigrid Algorithms, and Applications in Solid Mechanics and Cardiac Modeling His research spans Numerical Analysis , Computational Mechanics , and Biomedical Engineering , with a focus on parallel finite element methods for wave equations, phase-field fracture, and multi-physics cardiac simulations. Recent work includes adaptive space-time DG methods, visco-acoustic inversion, and digital twins for heart modeling. He has served as an Associated Editor for SIAM Journal of Scientific Computing (2008-2013) and a Section Editor for Numerical Analysis in ZAMM. His publications highlight collaborations in Parallel Computing , Visco-Elastic Models , and Nonlocal Plasticity . Prof. Wieners teaches courses like Numerische Mathematik and Grundlagen der Kontinuumsmechanik , with a history of lectures on Scientific Computing , Machine Learning in Mathematics , and Multigrid Methods . His work integrates Mathematical Rigor with Engineering Applications .

Ailar Hajimohammadiمشاهده پروفایل

دانشیار

• Sustainable and resilient construction materials
• Geopolymers
• Alkali activated binders
• +۱۴ مورد دیگر

Associate Professor Ailar Hajimohammadi is affiliated with the School of Civil and Environmental Engineering at the University of New South Wales. Her research focuses on sustainable construction materials, particularly alkali-activated binders, geopolymers, and waste resource recovery. PhD in Sustainable Construction Materials and Geopolymers, University of Melbourne, Australia MEngSc in Chemical Engineering, Sharif University of Technology, Iran Research interests include geopolymerization , alkali-activated materials , and circular economy applications in civil engineering. Recent publications highlight advancements in recycled aggregate concrete , fiber-reinforced foam concrete , and activation mechanism optimization . Recipient of multiple scientific awards including Aspen Technology's Award of Excellence and Geopolymer Alliance scholarships Secured significant grants for synchrotron beamtime and sustainability research Her work bridges industry consultation (AspenTech) and academic research on carbon-negative construction elements and prefabrication technologies.

Matthias Maischakمشاهده پروفایل

استاد

• Elliptic Boundary Value Problems
• Transmission Problems
• Signorini Problems
• +۱۰ مورد دیگر

Dr Matthias Maischak is a Reader in the Department of Mathematics at Brunel University London within the College of Engineering, Design and Physical Sciences . His research focuses on elliptic boundary value problems , transmission problems , Signorini problems , and variational inequalities , with emphasis on boundary and finite element methods , fast solvers , and adaptive algorithms . He is also a key developer of the MaiProgs software package, which implements advanced numerical techniques for engineering applications. Research Areas : Boundary Element/FEM Methods, Contact Mechanics, Adaptive Algorithms, High-Performance Computing, Retarded Potential Analysis Supervision : Ph.D. and MSc students in computational mathematics, including projects on shape analysis, discontinuous Galerkin methods, and boundary integral equations. Publications span topics like dual-dual formulations , FE-BE coupling , hp-adaptive methods , and error estimation in linear elasticity and acoustic fluid-structure interaction . He has co-authored works on nonlinear interface conditions and time-domain boundary element methods , with applications to microstructure analysis , elastoplastic contact , and singular perturbations .

Yanmeng Xuمشاهده پروفایل

مدرس ارشد

• Tribology
• Manufacturing Engineering
• Engineering Materials
• +۳ مورد دیگر

Dr Yanmeng Xu is a Senior Lecturer in Mechanics for Design at Brunel Design School, Brunel University London. He holds a PhD in Engineering Materials from the University of Southampton (2004) and has extensive academic and industrial experience in tribology, manufacturing engineering, and materials science. Education: BSc (Harbin University of Science and Technology, 1993), MSc (KAIST, 1998), PhD (University of Southampton, 2004) Dr Xu specializes in precision machining, failure analysis, and materials application for oil and gas engineering. His academic work bridges mechanical engineering and product design, with a recent focus on inkjet printing technology for materials and devices. His publications span materials science, forensic engineering, and ceramic manufacturing. Key research areas include cold spray deposition, DNA-trapping surface textures, and thermoplastic coating wear resistance. He supervises MSc and PhD students while teaching Engineering Mechanics and Mechanics of Materials. Dr Xu has secured grants from EPSRC and industrial partners like BP and Shell. He also provides technical consultancy in materials properties and product design.

Ada Amendolaمشاهده پروفایل

دانشیار

• Mechanics of Materials
• Metamaterials
• Tensegrity Structures
• +۱۲ مورد دیگر

Ada Amendola is an Associate Professor in the Department of Civil Engineering at the University of Salerno, where she conducts advanced research in innovative materials and structural mechanics. Her work bridges computational modeling, bio-inspired design, and experimental validation of multiscale systems. Her research interests include: Mechanics of Metamaterials and Tensegrity Structures Nonlinear Wave Propagation in Solids Seismic and Dynamic Protection of Structures Energy-Harvesting and Carbon-Storing Building Systems Bio-inspired and Fractal Structural Design Additive Manufacturing of Advanced Structural Components The recent articles highlight her focus on solitary wave dynamics, tensegrity-based seismic isolators, impact-resistant columns, and sustainable composite structures. These works reflect a strong integration of theoretical, computational, and experimental approaches in applied mechanics and civil engineering. Scientific recognition includes competitive funding from the Italian Ministry of University and Research (PRIN), MAECI, and PRIN-PNRR Linea Giovani for projects such as: 'The Mathematics and Mechanics of Nonlinear Wave Propagation in Solids' 'Sustainable Composite Structures for Energy-Harvesting and Carbon-Storing Buildings' (SUSTBUILD) 'Next-Generation Green Structures for Natural Disaster-Proof Building' (NEXTBUILDING) She leads and contributes to interdisciplinary research initiatives, advising teams working on 3D-printed meta-isolators highlighted in Nature , and developing novel structural systems with re-centering capabilities using shape memory alloys. Her lab investigates post-tensioned tensegrity columns, dynamic impact responses, and parametric design of meta-braces. Ongoing work explores the use of self-similarity and biological principles to innovate in structural resilience and sustainability.

Sunil Kishore Chakrapaniمشاهده پروفایل

دانشیار

• Nonlinear Ultrasonics
• Nondestructive Evaluation
• Sensor Development
• +۴ مورد دیگر

Dr. Sunil Kishore Chakrapani is an Associate Professor in the Department of Electrical and Computer Engineering at Michigan State University (MSU), with a joint appointment in the Department of Mechanical Engineering. He holds a Ph.D. in Engineering Mechanics from Iowa State University and has over a decade of experience in Nondestructive Evaluation (NDE), working at institutions like the Center for NDE and Indian Institute of Technology Madras. Education: B.E., Mechanical Engineering, Anna University, Chennai, India M.S., Engineering Mechanics, Iowa State University Ph.D., Engineering Mechanics, Iowa State University Research Interests: Nonlinear ultrasonics and vibrations Nondestructive material characterization (e.g., composites, additively manufactured materials) Ultrasonic sensor development (air-coupled systems, structural health monitoring) Finite element modeling for composites and wave propagation Acoustic nonlinearity parameter inversion and dislocation dynamics Recent Article Trends: Focus on advanced NDE techniques for additive manufacturing (e.g., laser deposition of Inconel/IN718), microstructural variability analysis in steels (P91), and hybrid sensor systems for infrastructure monitoring. Key methodologies include nonlinear ultrasonics, coda wave analysis, and machine learning-augmented defect characterization. Awards: Research Excellence Award from Iowa State University (2014) Advising & Grants: Leads research projects in NDE-driven design and composite materials. Active in developing NDE standards for aerospace and energy infrastructure components. Collaborates with industry partners on sensor development and failure analysis. Labs/Teams: Oversees research groups focused on nonlinear ultrasonics and additive manufacturing NDE within MSU’s College of Engineering.

Jay Gopalakrishnanمشاهده پروفایل

استاد

• Scientific computation
• Numerical analysis
• Finite elements
• +۳ مورد دیگر

Jay Gopalakrishnan is a Professor of Mathematics and the Maseeh Distinguished Chair at Portland State University's Department of Mathematics. His research focuses on scientific computation, numerical analysis, finite elements, and multigrid methods with applications in optics and mechanics. He has contributed significantly to the development of hybridizable discontinuous Galerkin (HDG) methods and the Discontinuous Petrov-Galerkin (DPG) framework, emphasizing structure-preserving numerical techniques. His work spans diverse domains including microstructured optical fibers, spacetime tents for hyperbolic systems, and eigenvalue cluster computations. Notable research activities include developing accurate computational tools for leaky modes in fibers, stability analysis of acoustic waveguides, and bone mineralization models. He advises doctoral students at institutions such as Intel Corporation, The MathWorks, and James Madison University. His teaching includes advanced numerical analysis courses and undergraduate mathematical computing. Collaborations with researchers like L. Demkowicz and J. Schöberl highlight his interdisciplinary impact in computational mathematics and engineering.

Lifeng Wangمشاهده پروفایل

دانشیار

• Materials Modeling
• Computational Mechanics
• Micro/Nano-Mechanics
• +۷ مورد دیگر

Lifeng Wang is an Associate Professor in the Department of Mechanical Engineering at Stony Brook University. He holds a B.E. (2001) and Ph.D. (2006) in Solid Mechanics from Tsinghua University. Prior to Stony Brook, he was an Assistant Professor at Clarkson University (2011–2013) and a postdoctoral associate at MIT (2006–2011). His research focuses on materials modeling, computational mechanics, micro/nano-mechanics, 3D printing, biomaterials, and composite materials. He has published over 25 journal articles and one patent, with work featured in MIT News, NBC News, and Nature News. Research Interests include: Materials modeling and computational mechanics Mechanical behavior of polymers, thin films, and composites Bio-inspired materials and biological systems Lattice metamaterials and mechanical metamaterials 3D printing and additive manufacturing techniques He has received awards such as the National Excellent Doctoral Dissertation Award (China, 2008) and was named among the World’s Top 2% Scientists (2023). His lab explores digital materials, mechanical metamaterials, biomaterials, and fiber networks. Notable projects include biomimetic composites, auxetic materials, and smart materials for robotics. Advisees include over a dozen master’s students at Stony Brook, with active collaborations in grants exploring programmable materials and energy absorption systems. His work integrates machine learning for material design and experimental validation of theoretical models.

• Strength Engineering Methods
• Fatigue Analysis
• Reliability and Robustness in Product Design
• +۳ مورد دیگر

Professor Mårten Olsson holds the Sverker Sjöström Professorship in Reliable Structures at the Royal Institute of Technology (KTH) within the Department of Materials and Structural Mechanics. He has led the department since 2006 and previously held roles such as Director of PhD Education and Head of Solid State Engineering programs. His research focuses on strength engineering methods to enhance product reliability and robustness through advanced fatigue analysis, multiaxial loading models, and probabilistic failure prediction. Olsson has authored over 60 peer-reviewed articles and supervised 14 completed PhD students, contributing to fields like additive manufacturing, engine block dynamics, and composite material behavior. His work integrates computational modeling with experimental validation to address industry challenges in structural reliability and optimization. Research Interests: Olsson’s research spans fatigue analysis, multiaxial loading effects, reliability-based design optimization, and material degradation mechanisms. Notable areas include probabilistic modeling of standing contact fatigue, fracture mechanics in composites, and vibration analysis in engine systems. Key Contributions: His publications highlight advancements in second-order reliability methods, fatigue probability models for complex geometries, and the integration of deformation effects into structural dynamics. Olsson’s methodologies have been applied to aerospace components (e.g., gas turbine blades) and automotive systems (e.g., engine gaskets). Academic Leadership: Beyond research, Olsson has orchestrated educational programs at KTH, including the Master of Science in Engineering Physics, and pioneered competency specialization tracks in Solid State Engineering. His teaching spans undergraduate through doctoral levels, emphasizing practical industrial applications.

• Biomedical Ultrasound
• Sonicated Drug Delivery
• Bubble Dynamics
• +۳ مورد دیگر

Nicole Anderton is a Postdoctoral Researcher specializing in biomedical ultrasound and bubble dynamics at Tampere University. Her work bridges experimental and computational approaches to study microbubble behavior, bioactive glass interactions, and ultrasound applications in drug delivery. Key Collaborations: International partnerships with researchers in Japan and Denmark Techniques: High-speed photography, microcomputed tomography, computational modeling Her recent research focuses on theranostic ultrasound agents , antibubble stabilization , and ultrasound-mediated drug release , with applications in dental and cardiovascular therapies. She has contributed to 22 total research outputs, including 5 publications in 2024 alone. Scientific contributions include: 2024 Doctoral Thesis: Radial Dynamics of Pickering-stabilized Antibubbles 2024 Conference Work: Bioactive Glass Gas Release (100% Pure Open Access) 2025 Research: Ultrasonic Toothbrush Sonication Applications

• Progressive Collapse
• Structural Fire Analysis
• Tensegrity Structures
• +۸ مورد دیگر

Dr. Feng Fu is a Senior Lecturer at the School of Mathematics, Computer Science and Engineering , City, University of London. He serves as Editor-in-Chief of the Proceedings of the Institution of Civil Engineers - Structures and Buildings and holds leadership roles in professional organizations like the Institution of Structural Engineers and American Society of Civil Engineers (ASCE). His career blends academic research, industry consultancy, and code development, including contributions to ASCE standards on blast protection and disproportionate collapse mitigation. MSc in Software Engineering (University of Oxford), MBA (University of Manchester), PhD in Structural Engineering (University of Leeds), and BSc/MSc in Structural Engineering (Beijing University of Technology). Worked at WSP Group Ltd, Waterman Plc, and Beijing Institute of Architectural Design and Research, contributing to iconic projects like The Shard and Nakheel Tower. His research focuses on progressive collapse , structural fire analysis , tensegrity structures , and steel composite joints , with recent interdisciplinary work on machine learning and IoT applications in structural design. He has authored 160+ peer-reviewed papers, four books, and developed the first numerical procedure for progressive collapse analysis used in major projects. The 15 most recent articles span diverse topics including biomaterials for diabetic wound healing , seismic performance of composite structures , advanced sensors for structural monitoring , and multi-hazard analysis , reflecting his interdisciplinary expertise. Scientific Awards : Excellence in Teaching (2016), IStructE Young Researchers' Competition (2005), WUN Award (2003). Fellowships : Institution of Structural Engineers (2019–present), American Society of Civil Engineers (2020–present), Institution of Civil Engineers (2020–present), Higher Education Academy (2012–present). He supervises research students working on topics like progressive collapse under multi-hazards , FRP-reinforced concrete , and machine learning applications in structural analysis . His lab collaborates on international projects, including EU-funded initiatives and multi-institutional studies on structural resilience.

Parag Chitnisمشاهده پروفایل

دانشیار

• Medical Ultrasonics
• Photoacoustics
• Biomedical Imaging
• +۴ مورد دیگر

Parag Chitnis is an Associate Professor in the Department of Bioengineering at George Mason University's College of Engineering, where he has served since Fall 2014. He also acts as Principal Investigator at the Krasnow Institute of Advanced Study, focusing on systems science and bioengineering innovation through interdisciplinary research. PhD, Mechanical Engineering - Boston University MS, Mechanical Engineering - Boston University BS, Engineering Physics and Mathematics - West Virginia Wesleyan College His research centers on medical ultrasonics and photoacoustics, pioneering non-invasive biomedical imaging techniques for tissue characterization, tumor detection, and neural signal monitoring. He integrates DNA-based nanosensors, NIR-II fluorescent probes, and machine learning algorithms to advance diagnostic precision. Recent articles highlight innovations in photoacoustic tomography, wearable ultrasound systems, and ultrasound-responsive drug delivery. Key trends include transcranial imaging, vascular mapping, and real-time muscle fatigue monitoring using portable devices. His work extends to the Center for Advancing Systems Science and Bioengineering Innovation (CASSBI), with clinical collaborations focused on pelvic floor elastography, neuroinflammation diagnostics, and implantable device actuation via ultrasound.