جست‌وجوی استاد و پژوهشگر

• Experimental Petrology
• Geochemistry
• Planetary Differentiation
• +۴ مورد دیگر

Professor Raúl O.C. Fonseca serves as Chair of Experimental Petrology and Geochemistry at Ruhr University Bochum since 2019. His research combines high-pressure experiments with isotope geochemistry to investigate planetary differentiation, terrestrial magmatism, and element cycling in extreme conditions. Education : PhD in Geochemistry (Australian National University, 2007); Licentiateship in Geology (University of Lisbon, 2002) Key Research Areas : Trace element and stable isotope behavior during mantle melting/crystallization Fe-S melt mobility in planetary interiors Ti/B isotope applications to Archean crust formation and lunar evolution Diamond genesis through sulfide melt interactions Projects : Funded by DFG Heisenberg Professorship until 2024, with ongoing grants through 2028 for studies on: Metallic melt migration dynamics Ti isotopes in Archean TTG rocks Boron isotope fluid tracing in subduction zones Teaching : Courses in Earth materials, igneous petrology, geochemical methods, and high-temperature thermodynamics Editorial Roles : Associate Editor for Geochemical Perspectives Letters and Advances in Geochemistry and Cosmochemistry

• Paleoanthropology
• Human Evolution
• Craniofacial Morphology
• +۳ مورد دیگر

Dr. Sarah Freidline is an Assistant Professor in the Department of Anthropology at the University of Central Florida (UCF), part of the College of Sciences. Her research focuses on paleoanthropology, specifically the evolution and development of human craniofacial morphology. She employs state-of-the-art methods including geometric morphometrics and surface histology to study fossil hominins, reconstructing virtual fossils and analyzing growth patterns in species like Homo erectus, Neanderthals, and modern humans. Dr. Freidline holds a Ph.D. from the City University of New York (CUNY) Graduate Center and the Max Planck Institute for Evolutionary Anthropology (MPI-EVA) in Leipzig, Germany (2012). She served as a postdoctoral researcher at MPI-EVA's Department of Human Evolution until 2020. Her work addresses critical questions about the evolutionary origins of modern human facial features, integrating macroscopic and microscopic analyses to explore intraspecific variation and developmental processes. Her research highlights include developing novel 3D methods for quantifying bone histology, studying facial gracilization in hominids, and reconstructing Middle/Late Pleistocene fossils from Northern Africa and Southeast Asia. She currently supervises a PhD project on mandibular evolution and collaborates on projects like the Tam Pà Ling cave in Laos, which provides evidence of early Homo sapiens presence in Southeast Asia. Key grants and collaborations involve international partnerships with institutions like MPI-EVA and fieldwork initiatives. Dr. Freidline's lab focuses on computational paleoanthropology, combining advanced imaging techniques with evolutionary theory to reconstruct human origins.

Dan Lewisمشاهده پروفایل

دانشیار

• Materials Science
• Microstructure Science
• Image Driven Machine Learning
• +۳ مورد دیگر

Dr. Dan Lewis is an Associate Professor in the Department of Materials Science and Engineering at Rensselaer Polytechnic Institute (RPI), part of the School of Engineering. His research focuses on microstructure science, mesoscopic modeling, and image-driven machine learning applied to materials design. He has held roles including Director of RPI’s Fuel Cell and Hydrogen Research Lab and oversees the Materials Day Camp for high school students. Lewis earned his B.S., M.S., and Ph.D. in Materials Science and Engineering from Lehigh University (1995–2001). Notable awards include the NSF CAREER Award (2011) for studying materials structure at high temperatures. His work bridges computational methods and experimental techniques, addressing challenges in advanced materials for energy systems and structural applications. He is affiliated with RPI’s Center for Computational Innovations (CCI), Center for Future Energy Systems (CFES), and CMDIS. Recent research includes studies on high-entropy alloys, oxidation-resistant coatings, and stochasticity in materials behavior. Education: Ph.D., M.S., B.S. in Materials Science from Lehigh University Affiliations: CCI, CFES, CMDIS Key Projects: NSF CAREER Award (2011), Machine Learning in Materials Design His research interests emphasize the interplay between microstructure, processing, and material performance, leveraging advanced imaging and computational tools. Recent publications highlight innovations in grain growth modeling, oxidation mechanisms, and AI-driven materials characterization.

Xinfang Jinمشاهده پروفایل

دانشیار

• Thermal fluids
• Transport phenomena
• Energy storage and conversion
• +۳ مورد دیگر

Xinfang Jin is an Associate Professor at the Erik Jonsson School of Engineering and Computer Science at the University of Texas at Dallas , specializing in Mechanical Engineering. Her research bridges thermal fluids, transport phenomena, and energy storage/conversion technologies. Ph.D., Mechanical Engineering (2014), University of South Carolina M.S., Refrigeration and Cryogenic Engineering (2007), University of Science & Technology, Beijing B.S., Thermal and Dynamic Engineering (2004), University of Science & Technology, Beijing Dr. Jin focuses on multi-physics modeling and microstructure design for systems like solid oxide fuel/electrolysis cells, lithium-ion batteries, and redox batteries. Her work integrates electrochemical characterization and mathematical algorithm development , particularly for electric vehicle battery control. Recent publications highlight advancements in membrane reactor design , crack growth prediction in electrolysis cells, and non-aqueous redox flow battery optimization . Themes include energy efficiency, materials durability, and system integration. 2024 NSF CAREER Award 2019 UMass Lowell recognition for prolific publications Outstanding graduate and mentor awards from Beijing (2007, 2006) Her affiliations include the Mechanical Engineering Faculty and Jonsson School at UT Dallas, with research collaborations spanning electrochemical systems and renewable energy integration.

Ashley Paz y Puenteمشاهده پروفایل

استادیار

• Physical Metallurgy
• Phase Transformations
• Diffusion Reactions and Kinetics
• +۹ مورد دیگر

Ashley Paz y Puente is an Assistant Professor in the Department of Mechanical and Materials Engineering at the University of Cincinnati since August 2016. She leads the Reaction and Transformation Engineering (RATE) Laboratory, focusing on metallic materials processing, phase transformations, and diffusion kinetics. Her research emphasizes Kirkendall effect-driven microtube fabrication, additive manufacturing of metallic scaffolds, and high-temperature alloy characterization using in situ X-ray tomography. Education: PhD (2016) in Materials Science and Engineering from Northwestern University; MS (2012) and BS (2011) in Materials Science and Mechanical Engineering from the University of Central Florida. Research interests span physical metallurgy, intermetallics, diffusion coatings, and shape memory alloys. She has secured over $1.4M in NSF grants, including a CAREER Award (2022–2027), exploring vacancy migration and Kirkendall pore evolution. Her work bridges fundamental materials science with applications in energy and biomedical systems. Teaching: Courses include MTEN6070/5071 – Phase Transformations. She has mentored undergraduate researchers and served on pedagogical innovation committees at Northwestern University. Awards: NSF Graduate Research Fellowship (2012), Barry M. Goldwater Scholarship (2008), and Summa Cum Laude (2011).

Edward Davisمشاهده پروفایل

دانشیار

• Polymer Science
• Biomedical Materials
• Nanocomposites
• +۲ مورد دیگر

Edward Davis is an Associate Professor in the Department of Mechanical Engineering at Auburn University's College of Engineering. His research focuses on sustainable polymer science, biomedical nanocomposites, and materials recycling. He leads NSF/NIST-funded initiatives on polymer upcycling and sustainable packaging. His work spans polymer degradation analysis (EVOH, underfill materials), recycling technologies (multilayer plastics, K-Cups), and engineering education (community-centered STEM programs, naval applications). Recent publications emphasize thermo-oxidative stability, supercritical CO₂ extraction, and reliability of electronic packaging under thermal stress. His article trends highlight: (1) Sustainable materials engineering, (2) High-temperature reliability, and (3) Educational innovation. No awards or student advisees are documented.

• Density Functional Theory
• Nanoclusters
• Catalysis
• +۳ مورد دیگر

Jaakko Akola is a Professor in the Department of Physics, specializing in computational materials science. His research focuses on density functional theory (DFT) , nanocluster catalysis , and energy materials , with contributions to understanding heterogeneous nucleation, catalytic mechanisms, and surface chemistry. He has authored over 140 publications and contributed to datasets on crystal structure determinations. His work aligns with UN Sustainable Development Goals through advancements in clean energy and materials innovation. Research Interests: DFT modeling, nanocluster reactivity, CO oxidation catalysts, hydrogen evolution reactions, and alloy design. Activities: Reviewer for scientific journals, invited lecturer at institutions like NIMS Japan, and visiting scholar at Forschungszentrum Jülich. Collaborations: International partnerships in materials science and catalysis research.

Blazej Grabowskiمشاهده پروفایل

استاد

• Materials Science
• Computational Materials
• Machine Learning in Materials Research
• +۲ مورد دیگر

Prof. Dr. Blazej Grabowski is a Professor at the Institute of Materials Science, University of Stuttgart, where he serves as Dean of Studies for Materials Science. His research focuses on computational materials science, utilizing machine learning, ab initio methods, and atomistic simulations to investigate deformation mechanisms, diffusion phenomena, and thermodynamic properties in advanced materials such as high-entropy alloys and intermetallic compounds. His work integrates theoretical modeling with experimental validation to design novel materials with tailored mechanical and functional properties. Research interests span machine-learning interatomic potentials, defect engineering, phase stability, and materials for energy applications. Recent publications demonstrate a strong emphasis on computational acceleration techniques and multi-scale modeling approaches, with applications in metallurgy, solid-state ionics, and photocatalysis. His studies frequently employ density functional theory, molecular dynamics, and novel machine-learning frameworks to predict complex materials behavior.

Zhenzhen Yuمشاهده پروفایل

دانشیار

• Materials Joining
• Welding Metallurgy
• Non-Equilibrium Phase Transformations
• +۵ مورد دیگر

Zhenzhen Yu is an Associate Professor in Metallurgical and Materials Engineering at the Colorado School of Mines. She directs the Center for Welding, Joining, & Coatings Research (CWJCR) and co-directs the Manufacturing and Materials Joining Innovation Center (Ma2JIC). Her research focuses on advanced manufacturing processes, particularly materials joining, non-equilibrium phase transformations during welding, and multi-material system design. She holds a Ph.D. in Materials Science and Engineering from the University of Tennessee, Knoxville, and a B.S. in Mechanical Engineering from East China University of Science and Technology. Research interests include: joining of dissimilar materials, weld microstructure-property relationships, in-situ characterization of transient material states, and stress relaxation cracking susceptibility evaluation. Notable awards include the NSF CAREER Award (2019) and the McKay-Helm Award (2019). Her recent work addresses challenges in high-temperature materials for energy storage systems, stress corrosion cracking mechanisms in nuclear applications, and development of multi-principal element alloys for advanced joining applications. She teaches courses such as Advanced Welding Metallurgy and Solidification. Labs: Center for Welding, Joining, & Coatings Research (CWJCR) Key Projects: Residual stress control in welding, AI-enabled robotic NDE for power plant boilers, molten salt tank failure analysis

• Materials Science
• Mechanical Engineering
• Metallurgy
• +۳ مورد دیگر

Samaneh Isavand is a Researcher in the School of Engineering at the University of Limerick, specializing in advanced materials characterization and computational mechanics of metallic alloys. Her work bridges experimental metallurgy with predictive modeling to address critical challenges in structural materials performance. Her primary research focuses on deformation mechanisms in ferritic and austenitic steels, utilizing cutting-edge techniques including micropillar compression, in-situ MEMS-heating EBSD, and high-resolution digital image correlation. She integrates these experimental approaches with crystal plasticity finite element modeling to investigate strain localization, phase transformations, and microstructure-property relationships in complex steel microstructures such as P91 and ferrite-pearlite systems. Analysis of her 2013-2025 publications reveals consistent emphasis on thermo-mechanical behavior of functionally graded steel composites, reverse phase transformation pathways, and forming limit predictions. Key methodological trends show progressive integration of multi-scale experimental validation with computational frameworks to unravel slip system activities and damage evolution under diverse loading conditions. No scientific awards were documented in the provided source material. Information regarding graduate student supervision, research grants, or laboratory affiliations was not specified in the available text. Her collaborative work appears centered on advanced steel characterization projects, likely involving interdisciplinary teams in materials testing and computational mechanics.

• Geology
• Geophysics
• Geochemistry
• +۳ مورد دیگر

William Dunne is a Professor in the Department of Earth & Planetary Sciences at the University of Tennessee, Knoxville, and serves as the Associate Dean for Research & Facilities. He holds a B.Sc. and Ph.D. from Bristol University, UK. His research focuses on structural geology, planetary science, and fracture network analysis, with notable work on Europa's geology and tectonic processes in the Appalachians. Dunne has authored/co-authored over 65 publications, including the textbook Planetary Geoscience (2019). His recent studies explore fracture abundance predictions on icy satellites and spatial fault arrangements. Funded projects include NSF grants and collaborations with organizations like the Electric Power Research Institute. He has led sponsored projects since 2001, emphasizing geotechnical hazard assessment and energy-related geoscience. Education: B.Sc. and Ph.D. from Bristol University, UK Key Research Areas: Planetary geology, fracture mechanics, tectonic deformation, and geohazard analysis His articles highlight advanced fracture network characterization techniques and applications in planetary science. Sponsored projects span rockfall management systems, airborne magnetic surveys, and sustainable energy initiatives. Dunne’s work bridges geological theory and practical engineering solutions, with contributions to both academic and applied domains.

Veronica Augustynمشاهده پروفایل

دانشیار

• Electrochemical Energy Storage
• Materials Science
• Environmental Technologies
• +۵ مورد دیگر

Veronica Augustyn is an Associate Professor and the Jake & Jennifer Hooks Distinguished Scholar in the Department of Materials Science and Engineering at NC State University's College of Engineering. She holds the title of University Faculty Scholar and serves as an Associate Editor for Journal of Materials Chemistry A and Materials Advances . Her research focuses on synthesizing and characterizing materials for electrochemical energy storage (e.g., batteries, capacitors) and environmental technologies, with particular attention to relationships between material composition, structure, and electrochemical behavior. Her group employs liquid-phase and solid-state synthesis methods, coupled with operando electrochemical techniques, to study mechanisms like proton-coupled electron transfer and hydrogen spillover. Notably, she leads SciBridge, an internationally recognized initiative fostering renewable energy collaborations between African and U.S. universities. Key research themes include aqueous batteries, proton insertion dynamics, and material stability under electrochemical conditions. Recent publications highlight advancements in tungsten oxides, hydrogen titanates, and interlayer pillaring effects on electrochemical performance. Awards include the Hooks Distinguished Scholar designation and University Faculty Scholar recognition. Her work bridges fundamental material science with applied energy solutions, emphasizing sustainability and global collaboration.

Srinivasan Nagarajanمشاهده پروفایل

پژوهشگر

• Additive Manufacturing
• Materials Science
• Mechanical Behavior of Materials
• +۳ مورد دیگر

Dr. Srinivasan Nagarajan serves as a Research Scientist II at the Arbegast Materials Processing and Joining Laboratory (AMP Lab) at the South Dakota School of Mines and Technology, leading critical projects in additive manufacturing while advising undergraduate and graduate researchers. His expertise bridges advanced materials processing techniques with mechanical behavior analysis across multiple scales. His academic foundation includes: Ph.D. in Materials Science and Engineering from Homi Bhabha National Institute / Indira Gandhi Centre for Atomic Research Campus (2015) M.Sc. in Materials Science from Anna University/College of Engineering Guindy Campus (2009) B.Sc. in Physics from University of Madras/D.G. Vaishnav College (2007), graduating first rank with multiple awards Nagarajan's research centers on processing-structure-performance relationships in additively manufactured materials, with pioneering work in solid-state and hybrid methods. He specializes in cold spray deposition, friction stir processing, and wire direct energy deposition for structural steels, employing nondestructive characterization techniques like digital image correlation and full-field imaging. His investigations span microstructural evolution during deformation across length and time scales, revealing fundamental mechanisms in alloys including aluminum-magnesium systems and dual-phase steels. Analysis of his publication trajectory shows consistent innovation in hybrid additive manufacturing processes, particularly for stainless steels, with increasing emphasis on in-situ characterization techniques. His work demonstrates a clear progression from fundamental deformation studies toward applied manufacturing solutions, integrating thermomechanical analysis with advanced imaging to solve industrial challenges in automotive and aerospace sectors. His accolades include: INSPIRE Faculty Award (Department of Science & Technology, 2017) National Postdoctoral Fellowship (Science & Engineering Research Board, 2017) McMaster/General Motors Postdoctoral Fellowship (2015) Multiple Department of Atomic Energy research fellowships Throughout his career, Nagarajan has secured government and industry funding as principal investigator, established specialized laboratories across institutions in India, Canada, and the United States, and mentored numerous students. His collaborative approach spans national laboratories and academic centers, with current focus on optimizing cold spray-friction stir hybrid manufacturing at SD Mines' AMP Lab. He maintains active peer review roles for leading journals including Additive Manufacturing and Journal of Materials Science, driving methodological rigor in the field.

Yue Fanمشاهده پروفایل

استادیار

• Materials Science
• Mechanical Engineering
• Computational Materials Science
• +۳ مورد دیگر

Dr. Yue Fan is an Assistant Professor in the Department of Mechanical Engineering at the University of Michigan, Ann Arbor . He leads the Fan Research Group, focusing on predictive modeling of defect behaviors and microstructural evolution in materials under extreme environments. His work bridges atomistic simulations with macro-scale mechanical properties to develop high-performance materials. Education: Ph.D., Nuclear Science and Engineering (2013), MIT B.S., Physics (2008), Peking University Research Interests include: Defect dynamics and microstructural evolution in structural materials Deformation mechanisms in amorphous solids Multi-scale computational modeling of material behavior Grain boundary interactions with dislocations and impurities His article trends emphasize computational approaches to understanding dislocation-obstacle interactions, metastability in nanocrystalline alloys, and mechanical properties of metallic glasses, with keywords spanning materials science, mechanical engineering, and computational modeling. Scientific Awards : NSF CAREER Award (2020) ASME Haythornthwaite Young Investigator Award (2017) ORAU Ralph E. Powe Junior Faculty Enhancement Award (2017) MIT Manson Benedict Award (2013) Eugene P. Wigner Fellowship at ORNL (2013) Dr. Fan has attracted research grants including the NSF CAREER award and Doctoral New Investigator grant from the American Chemical Society. His research group welcomes graduate students and postdocs with backgrounds in physics, atomistic modeling, and grain boundary studies.

Kevin Weinerمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Visual Perception
• Face Processing
• +۵ مورد دیگر

Kevin Weiner is an Associate Professor at the University of California, Berkeley, joining the department in January 2018. He leads the Cognitive Neuroanatomy Lab and focuses on the structural and functional basis of visual perception, particularly face processing in high-level visual cortex. His research employs multi-modal methodologies combining functional measurements (high-resolution fMRI, electrocorticography) with anatomical analyses in vivo (diffusion imaging, cortical folding) and post-mortem (cytoarchitecture, myeloarchitecture). Core interests include visual perception mechanisms, domain-specific brain regions, comparative neuroanatomy across species, developmental neuroscience, and translational applications for neurological patient populations. Analysis of his publication record reveals consistent expertise in fusiform gyrus organization and face-processing networks. His work demonstrates increasing integration of histological validation with neuroimaging, alongside growing emphasis on open science practices and translational clinical applications in recent years. Dr. Weiner mentors graduate students and directs the Cognitive Neuroanatomy Lab, which prioritizes collaborative research, data sharing initiatives, and science communication efforts while advancing mechanistic models of brain structure-function relationships.