جست‌وجوی استاد و پژوهشگر

Morten Mattrup Smedskjærمشاهده پروفایل

استاد

• Glass Structure and Mechanics
• Oxide Glass Chemistry
• Disordered Materials
• +۵ مورد دیگر

Morten Mattrup Smedskjær , Professor at the Department of Chemistry and Life Sciences, Faculty of Engineering and Science, Aalborg University, is a world-leading researcher in disordered materials and oxide glass chemistry. With over 534 publications and 34 ongoing/complete projects, his work bridges fundamental glass science and advanced technological applications. Institution: Aalborg University, Denmark Department: Chemistry and Life Sciences Research Focus: Glass structure/mechanics, self-healing materials, solid-state batteries, bioactive glass His groundbreaking research explores glassy electrolytes for batteries, porous liquid-derived self-healing glass, and disordered metal-organic frameworks (MOFs) for drug delivery. Recent projects like MultiBat and DrugMOF demonstrate his interdisciplinary approach. Scientific Awards: EliteForsk Prize 2025 Grundfos Prize 2019 Vittorio Gottardi Prize 2019 W.H. Zachariasen Award 2019 Sir Alastair Pilkington Award 2018 Current work focuses on diffusion probabilistic models for inverse material design and economic impacts through glass-based manufacturing innovations. His 2025 Energy and Environmental Science review article establishes new paradigms in amorphous battery interfaces.

Reza Andalibiمشاهده پروفایل

مدرس

• Chemical Engineering
• Materials Science
• Process Modelling
• +۵ مورد دیگر

Dr. Reza Andalibi is a Lecturer in Chemical Engineering at Lancaster University's School of Engineering. With a diverse academic and industrial background spanning Iran, the United States, Switzerland, and the United Kingdom, he brings a wealth of experience to his role, combining theoretical knowledge with practical applications in chemical engineering and materials science. His educational journey includes: Initial studies at Sharif University of Technology in Iran Academic experience at Pennsylvania State University in the US PhD completion at the Paul Scherrer Institute and EPFL in Switzerland Postdoctoral research at Cambridge University in the UK (2019) Dr. Andalibi's research expertise centers on the development and application of in-silico tools spanning molecular to macroscopic scales. His work bifurcates into two primary streams: Materials Research: Focusing on data analytics and predictive modeling for sustainable product development, particularly in the design and discovery of surfactant molecules with applications in pharmaceuticals, polymers, and biomolecules. Process Research: Concentrating on computer-aided tools for pharmaceutical manufacturing, production of formulated products, and product performance testing, including multiscale simulation of chemical processes and development of end-to-end digital twins. Analysis of Dr. Andalibi's publication record reveals consistent focus on surfactant chemistry, deep eutectic solvents, and nanoparticle synthesis, with recent work emphasizing pharmaceutical applications. His research demonstrates progression from fundamental materials characterization to applied process development, showing strong interdisciplinary connections between chemical engineering, materials science, and computational modeling. Dr. Andalibi has gained valuable industry experience through roles at Siemens and Unilever, complementing his academic background with practical industrial perspectives. This blend of academia and industry has honed his skills in materials and process modeling and simulation, fostering a deep understanding of both fundamental and applied research.

• Contact Mechanics
• Tribology
• Applied Mechanics
• +۷ مورد دیگر

Carmine Putignano is an Associate Professor at the Politecnico di Bari , affiliated with the Department of Mechanics, Mathematics & Management . His research focuses on contact mechanics, tribology, and viscoelasticity, with applications in polymer bearings, hydrogels, and surface engineering. Recent work includes advancements in viscoelastic contact modeling, lubrication of soft materials, and laser-induced surface texturing. These studies address challenges in friction reduction, material durability, and biomedical applications like articular cartilage lubrication. His 15 most recent publications (2023–2025) span topics such as viscohydrodynamic lubrication, micro-indentation techniques, and multi-laboratory benchmarks for surface topography characterization. The research emphasizes numerical simulations, experimental validation, and energy-based methodologies.

• Epidemiology
• Public Health
• Network Science
• +۴ مورد دیگر

Jessica Davis serves as a Research Assistant Professor in the Department of Public Health and Health Sciences at Northeastern University's Bouvé College of Health Sciences and is an active member of the MOBS Lab within the Network Science Institute. Her interdisciplinary work integrates network science methodologies with epidemic modeling to develop practical tools for public health policy and pandemic preparedness, with significant contributions during the COVID-19 pandemic. Dr. Davis earned her PhD in Network Science from Northeastern University, where her dissertation research examined cryptic transmission patterns and the efficacy of travel restrictions during the initial phases of the COVID-19 outbreak. This foundational work established her expertise in bridging theoretical network analysis with real-world public health applications. Her research program centers on two interconnected domains: Biological and Health Systems , which investigates biological interdependencies through network medicine, systems epidemiology, and public health infrastructure; and Complex Systems Forecasting , which develops network-based computational models for predicting epidemic trajectories and supporting evidence-based decision-making. These areas converge in her development of open-source tools like Epydemix and innovative surveillance frameworks using aircraft wastewater networks. Analysis of her 15 most recent publications (2021-2025) reveals consistent methodological evolution toward real-time modeling with explicit uncertainty quantification, increasing focus on multi-scale heterogeneity in disease transmission, and growing emphasis on practical implementation of forecasting systems. Her work demonstrates strong continuity in applying network science to epidemic dynamics while expanding into influenza surveillance, variant tracking, and vaccine impact assessment. No scientific awards or major honors are documented in the available materials, though her research has generated significant policy impact through presentations at venues like the Rhodes Policy Summit and collaborations with governmental agencies. Dr. Davis has secured substantial research funding including a Gates Foundation partnership investigating equitable global vaccine distribution strategies. While specific advisee relationships aren't publicly listed, she actively contributes to academic training through the MOBS Lab's hiring of computational statistics researchers and participation in the Network Science Student Research Symposium. The MOBS Lab, directed by Alessandro Vespignani and jointly affiliated with Physics, Health Sciences, and Computer Sciences departments, operates as a hub for computational epidemiology with physical locations in Boston, London, and Portland. Current lab initiatives focus on developing mathematical models for complex network systems with immediate applications to pandemic response, including the aircraft-based wastewater surveillance network featured in her 2025 Nature Medicine publication.

• Materials Science
• Mechanical Engineering
• Solid Mechanics
• +۱۲ مورد دیگر

Laurent Delannay is a Professor at the Catholic University of Louvain and a Research Director at the Institute of Mechanics, Materials and Civil Engineering (iMMC) within the Louvain Polytechnic School (EPL) . His work focuses on materials science and mechanical engineering , particularly in microstructural modeling , strain heterogeneity , and plasticity . Key research areas: Plasticity, Finite Element Modeling, Microstructure Analysis, Residual Stress, Crystal Plasticity Recent publications analyze aluminum films, tungsten deformation, and biomedical materials Affiliated with the Applied Mechanics and Mathematics (MEMA) research unit Email: laurent.delannay@uclouvain.be His work combines experimental data with computational simulations to understand material behavior under stress, thermal shocks, and mechanical processing. Research trends include grain boundary effects , texture evolution , and multiscale modeling . Teaching activities include courses on Mechanics of Materials , General Mechanics , and Durability of Materials . He leads research in the MEMA laboratory and contributes to projects related to nuclear materials and biomedical applications.

Philip Marmetمشاهده پروفایل

پژوهشگر

• Multiphysics Simulation
• Multiscale Modeling
• Microstructure Characterization
• +۵ مورد دیگر

Dr. Philip Marmet is a Researcher and Lecturer at the Institute of Computational Physics (ICP) within the School of Engineering at Zurich University of Applied Sciences (ZHAW). His work focuses on Multiphysics and Multiscale simulations, characterization and stochastic modeling of microstructures, with particular expertise in solid oxide fuel cell electrode design. His educational background includes a PhD in Physics/Modeling and Simulation from the University of Fribourg (2019-2023), an MSc in Physics/Soft Matter Theory from the same institution (2013-2016), and an MSc in Engineering from Bern University of Applied Sciences (2011-2013). PhD in Physics / Modeling and Simulation, Solid Oxide Fuel Cells, University of Fribourg (2019-2023) MSc in Physics / Soft Matter Theory, University of Fribourg (2013-2016) MSc in Engineering BFH / Industrial Technologies, Bern University of Applied Sciences (2011-2013) BSc in Mechanical Engineering / Mechatronics, Bern University of Applied Sciences (2003-2007) Dr. Marmet's research spans Multiphysics Simulation, Multiscale Modeling, Microstructure Characterization, and Digital Materials Design. His work bridges theoretical modeling with experimental validation to optimize materials for energy applications. He has developed specialized methodologies for virtual microstructure variation and optimization of porous materials, particularly for solid oxide fuel cells and aerosol filters. His publication record shows a clear progression toward increasingly sophisticated multiscale modeling approaches, with recent work focusing on stochastic microstructure modeling using pluri-Gaussian methods. His research demonstrates strong integration of computational techniques (including GeoDict, Comsol Multiphysics, ANSYS, OpenFOAM, and Matlab/Simulink) with experimental validation. Best graduation results of 2013 "Gold", Master of Science in Engineering Dr. Marmet supervises student projects and lectures Analysis 1 and 2 for bachelor courses. His research has received funding from the Swiss Federal Office of Energy (SFOE) and Eurostars program. He has developed practical software tools including the Python app for stochastic microstructure modeling of SOC electrodes and the Characterization-app for standardized microstructure analysis, demonstrating his commitment to translating research into practical engineering solutions. His work is organized around the Digital Materials Design workflow, connecting virtual microstructure generation, automated characterization, and multiphysics simulation to enable data-driven optimization of energy materials without extensive experimental iteration.

Bhabani Shankar Mallikمشاهده پروفایل

استاد

• Computational Chemistry
• Molecular Dynamics
• Statistical Mechanics
• +۸ مورد دیگر

Bhabani Shankar Mallik is a Professor in the Department of Chemistry at the Indian Institute of Technology Hyderabad . His research focuses on Computational Chemistry , Molecular Dynamics , and First Principle Calculations for energy materials and catalysis. He leads the BSM Lab , which utilizes High-Performance Computing (HPC) resources like ParamSeva@IITH (838 TFLOPS, 7500 cores). Research Areas : Structure/Dynamics of Ionic Liquids, Catalysis (Homogeneous/Heterogeneous), Energy Materials, Microkinetic Theory, Machine Learning in Chemistry, Vibrational Spectroscopy His recent publications analyze ionic transport mechanisms in solid-state electrolytes, electrocatalytic processes for nitrogen reduction, and proton transfer dynamics in aqueous systems. He teaches courses like Modern Simulation Methods and Principles of Quantum Chemistry .

Ushasi Royمشاهده پروفایل

استادیار

• Solid mechanics
• Fracture mechanics
• Plasticity
• +۷ مورد دیگر

Dr. Ushasi Roy is an Assistant Professor in the Department of Mechanical Engineering at the Indian Institute of Technology Kanpur. She specializes in solid mechanics, fracture mechanics, plasticity, finite element analysis, and microstructure-property correlation. Her research focuses on microstructure sensitive deformation and fracture of metals and alloys, high strain rate deformation behavior of metals, ceramics and composites, and multiscale and multiphysics modeling of deformation and fracture. Dr. Roy's research interests span computational mechanics and materials science, with particular emphasis on understanding how microstructural features influence mechanical properties and failure mechanisms. Her work combines advanced computational techniques with fundamental mechanics principles to develop predictive models that can guide material design and engineering applications. She has made significant contributions to understanding fracture mechanics in various materials systems including high entropy alloys, battery materials, and energetic materials. Her publication record shows consistent contributions to high-impact journals in mechanics and materials science, with recent work focusing on lithium anodes, polycrystalline metals, and multiscale computational frameworks. The research demonstrates a progression from fundamental material characterization to sophisticated computational modeling approaches. Dr. Roy has established herself as a promising researcher in computational mechanics and materials science, with her work addressing critical challenges in understanding material behavior under extreme conditions and developing predictive models for engineering applications.

• Biomechanics/Bioengineering
• Biomedical Sciences
• Developmental Biology
• +۱۱ مورد دیگر

Dr. Fei Fang is an Assistant Professor at the Icahn School of Medicine at Mount Sinai, holding dual appointments in the Department of Orthopedics and the Department of Cell, Developmental & Regenerative Biology. BA in Mechanical Engineering, Huaqiao University MS in Mechatronic Engineering, Zhejiang University MS and PhD in Mechanical Engineering, Washington University in St. Louis Her research focuses on musculoskeletal mechanobiology and cell niche interactions, particularly tendon biology and regenerative medicine. Key areas include: Tendon mechanobiology and developmental biology Tissue engineering for musculoskeletal regeneration Stem cell applications in tendon repair Biomechanical analysis of tendon structures Enthesis healing and Hedgehog signaling pathways Single-cell analysis of immune-mesenchymal interactions Dr. Fang's recent publications emphasize multiscale mechanical evaluation of tendons, Hedgehog signaling mechanisms, and translational approaches for tendon-to-bone healing. Her work combines biomechanical engineering with regenerative medicine to address musculoskeletal disorders. She leads the Fang Laboratory for Musculoskeletal Mechanobiology and Cell Niche at Mount Sinai, located in the Annenberg Building (20th Floor, Room 20-72A), advancing novel therapies for tendon, ligament and meniscus regeneration through mechanobiological insights.

Ankit Srivastavaمشاهده پروفایل

دانشیار

• Micromechanical Modeling of Heterogeneous Materials
• Microstructure-Based Crystal Plasticity Finite Element Modeling
• Damage and Fracture Mechanics
• +۳ مورد دیگر

Ankit Srivastava is an Associate Professor in the Department of Materials Science and Engineering at Texas A&M University and serves as the Director of Graduate Programs for his department. He holds a Ph.D. in Materials Science and Engineering from the University of North Texas, with additional Master's degrees in Physics and Materials Science. Ph.D., Materials Science and Engineering, University of North Texas (2013) M.S., Physics, University of North Texas (2013) M.S., Materials Science and Engineering, University of North Texas (2011) B.Tech, Mechanical Engineering, Kamla Nehru Institute of Technology, India (2007) His research focuses on Micromechanical Modeling of Heterogeneous Materials , Crystal Plasticity Finite Element Modeling , and Damage Mechanics . He investigates deformation and fracture mechanisms in materials with spatial-temporal heterogeneities, emphasizing statistical perspectives in microstructural analysis. Recent publications highlight his work on machine learning applications in fracture surface analysis, non-classical crystallographic slip in MAX phases, and multi-objective alloy discovery using Bayesian methods. His research spans computational modeling, experimental mechanics, and materials informatics. 2023 Texas A&M Dean of Engineering Excellence Award 2022 ASME Sia Nemat-Nasser Early Career Award 2020 NSF CAREER Award recipient 2017 ASME Haythornthwaite Foundation Research Initiation Award As head of the M3D (Microstructural Mechanics for Material Design) group, he leads projects combining computational and experimental approaches to link microstructure statistics with material failure modes.

• Fluid Engineering
• Computational Fluid Dynamics
• Isogeometric Analysis
• +۵ مورد دیگر

Yuto Otoguro is an Associate Professor (non-tenure-track) at Waseda University's Faculty of Science and Engineering, Department of Modern Mechanical Engineering, and also serves as a Researcher at the Institute for Frontier Fluid-Structure Interaction Analysis. He earned his PhD, M.Eng, and B.Eng in Modern Mechanical Engineering from Waseda University in 2018, 2016, and 2014 respectively. His academic career focuses on advanced computational methods for fluid dynamics and structural mechanics. Dr. Otoguro's primary research interests lie in Fluid Engineering, Computational Fluid Dynamics (CFD), and Isogeometric Analysis (IGA). His work centers on developing and applying space-time computational methods with isogeometric discretization for complex flow problems. He has made significant contributions to element length calculation in B-spline and T-spline meshes, stabilization parameters for variational multiscale methods, and general-purpose NURBS mesh generation techniques for complex geometries. His research has important applications in turbomachinery, wind turbine analysis, fluid-structure interaction, and computational aerodynamics. His publication record shows a strong focus on computational methods development, with particular emphasis on isogeometric analysis applications. His work on local-length-scale calculation in complex geometries, hyperelastic shell models, and space-time computational flow analysis represents cutting-edge research in computational mechanics. His papers frequently address challenges in representing complex geometries and handling moving boundaries in fluid flow simulations. Among his scientific achievements, Dr. Otoguro received the JSCES 20th Anniversary Scholarship Award. He has been actively involved in research projects including 'On new developments of Isogeometric Analysis (IGA) for highly accurate and efficient fracture mechanics analysis' funded by the Japan Society for the Promotion of Science, and 'Compressible-flow engine-valve analysis with response motion and contact' as part of the Early-Career Scientists program. As an educator, Dr. Otoguro teaches multiple courses at Waseda University including Fluid Dynamics, Engineering Thermodynamics, Material Mechanics, and Mechanical Engineering Laboratory courses. He has also organized workshops on isogeometric analysis to promote this emerging computational method within Japan's research community. His academic service includes participation in the Team for Advanced Flow Simulation and Modeling (T*AFSM), where he contributes to advancing computational methods for fluid-structure interaction problems.

Simon Mosbjerg Jensenمشاهده پروفایل

استادیار

• Composite Materials
• Delamination Engineering
• Crack Growth Rate
• +۴ مورد دیگر

Simon Mosbjerg Jensen is an Assistant Professor at the Department of Materials and Production, Faculty of Engineering and Science, Aalborg University, Denmark. His research focuses on composite materials, delamination mechanics, and fatigue-driven damage in wind turbine blade structures. Current projects include CIRCWIND (Circular material solutions for wind turbines, 2024–2028) and MADE4WIND (Floating wind components, 2023–2027). He specializes in Fatigue Fracture , Delamination Behavior , and Multiscale Modeling of composite structures. His recent articles (2023–2025) emphasize GFRP laminates , crack growth rate modeling , and fatigue damage simulations . Collaborative datasets and experimental validations are central to his work. He contributes to the UPWARDS and AIOLOS projects, advancing wind turbine material solutions. Media mentions highlight his role in AAU's 2018 research group launch.

Servet İbrahim Timurمشاهده پروفایل

استاد

• Materials Science
• Electrochemistry
• Metallurgical Engineering
• +۴ مورد دیگر

Prof. Servet İbrahim Timur is a full-time Professor at Istanbul Technical University's Department of Metallurgical and Materials Engineering, where he leads research in advanced materials synthesis and characterization. His laboratory focuses on electrochemical processing techniques for energy storage and functional materials. His research interests span: Electrochemical synthesis of borides and rare-earth metals Computational materials design for semiconductor applications Supercapacitor technologies using nickel/vanadium borides Surface engineering through boriding and multilayer coatings Thermodynamic modeling of doped semiconductor systems His recent publications demonstrate a strong focus on energy storage materials (particularly supercapacitor electrodes) and computational approaches to material defects. The work frequently combines experimental electrochemistry with atomistic modeling. Major scientific recognitions include: 1996 Best Doctoral Thesis Award R&D 100 Awards (2017) Graduation Design Project Competition Prize (2020) He currently leads 12 active research projects including: Molten salt electrolysis of rare earth oxides (2022-2023) Platinum group metal recovery from catalytic converters (2023-2025) Selective extraction of rare earth elements (2021-2023) He has supervised 38 graduate students through research projects.

Daniel Peterseimمشاهده پروفایل

استاد

• Computational Mathematics
• Numerical Analysis
• Multiscale Methods
• +۶ مورد دیگر

Prof. Dr. Daniel Peterseim is the Chair of Computational Mathematics at the University of Augsburg, with a focus on numerical methods for partial differential equations and multiscale problems. He leads a research team including collaborators like Robert Altmann, Moritz Hauck, and Hannah Mohr. 2017–present: Chair of Computational Mathematics, University of Augsburg 2013–2017: Professor for Numerical Simulation, University of Bonn 2009–2013: Head of Junior Research Group, DFG Research Center Matheon & Humboldt University Berlin His research centers on computational multiscale methods, eigenvalue problems, and wave phenomena, with applications in mechanics, physics, and medicine. Recent work includes numerical stochastic homogenization and quantum computing applications of finite element methods. He has received the ERC Consolidator Grant for his research. Scientific awards: ERC Consolidator Grant He has advised numerous PhD and Master’s students, including Moritz Hauck, Fabian Kröpfl, and Barbara Verfürth. His team collaborates on projects like metamaterial simulations and microstructure reconstruction using neural networks.

• Additive Manufacturing
• Composite Materials
• Fatigue Behavior
• +۵ مورد دیگر

Andrea Tridello is an Associate Professor in the Department of Mechanical and Aerospace Engineering at the Polytechnic University of Turin, Italy, and a member of the Interdepartmental Center J-Tech@PoliTO. His academic work focuses on mechanical design, fatigue analysis, and additive manufacturing technologies with significant contributions to Very High Cycle Fatigue (VHCF) research. Dr. Tridello's research spans multiple areas including Additive Manufacturing , Composite Materials , Fatigue Behavior , and Machine Learning applications for predicting material responses. His work addresses critical challenges in non-destructive testing methodologies for damaged composites, fatigue analysis of additively manufactured components, and the mechanical behavior of lattice structures. He has developed machine learning algorithms specifically for predicting mechanical behavior of structural materials. His recent publications demonstrate a strong focus on the intersection of additive manufacturing and fatigue analysis, with particular attention to defect characterization, statistical modeling of fatigue data, and development of predictive algorithms. His research also extends to composite materials, exploring impact damage assessment and non-destructive evaluation techniques across aerospace and automotive applications. Young Researcher Award from VHCF8 conference (2021) Steering Committee member of European Structural Integrity Society (ESIS) (2024-) Steering Committee member of Italian Fracture Group (2023-) Editorial Board member of FRACTURE AND STRUCTURAL INTEGRITY (2023-) Editor-in-Chief of MATERIAL DESIGN & PROCESSING COMMUNICATIONS (2023-) Dr. Tridello actively supervises PhD students Alessio Centola (39th cycle) and Rujun Li (38th cycle). He leads and participates in significant research projects including ML4FatigueDesign (statistical software for fatigue data analysis), FAAST (Fatigue on Additive Alloys Speedy Technique), and PLEIADES (advancing aerospace composites). His work has practical applications across aerospace, automotive, and industrial sectors. He is a key member of the Mechanics of Materials and Joints research group within DIMEAS, focusing on fatigue, impact, and testing methodologies for advanced materials and structures, contributing to both theoretical frameworks and practical engineering solutions.