جست‌وجوی استاد و پژوهشگر

Jorge Viñalsمشاهده پروفایل

استاد

• Soft Matter Physics
• Materials Science
• Biomechanics
• +۵ مورد دیگر

Jorge Viñals is a Professor at the School of Physics and Astronomy , University of Minnesota, and Director of Graduate Studies. His research focuses on theoretical and computational studies of nonequilibrium phenomena in extended systems, with applications to Soft Matter Physics, Materials Science, and Biomechanics. Affiliation: Director of Graduate Studies, School of Physics and Astronomy Institution: University of Minnesota Collaborations: Minnesota Supercomputing Institute, University of Oslo, Cornell, Carnegie Mellon His work examines mesoscale theories of systems outside thermodynamic equilibrium, particularly unstable interfaces and moving topological defects. Current projects include studies of chiral symmetry breaking in nematic liquid crystals, field dislocation mechanics in defected solids, and biomechanics of epithelial tissue with orientational order. Recent publications highlight computational approaches to nematic defect structure , topological charge quantification , and plasticity modeling . Key journals include Soft Matter , Proceedings of the Royal Society A , and Physical Review B . Key collaborators: Lucas Myers, C.D. Schimming, Luiza Angheluta, Manas Upadhyay Grants: NSF-funded projects on active matter and liquid crystal dynamics, Department of Defense research on intraosseous catheters

Laura Bruckmanمشاهده پروفایل

دانشیار

• Materials Degradation Science
• Photovoltaic Materials
• Data Science Applications in Materials
• +۳ مورد دیگر

Laura Bruckman is a Climo Associate Professor in the Department of Materials Science and Engineering at Case Western Reserve University's Case School of Engineering. Her research focuses on predictive lifetime modeling for materials degradation, quantitative spectroscopic characterization of materials, and applying statistical analytics and data science to solve challenges in photovoltaic systems and long-lived engineering materials. Her work emphasizes understanding degradation mechanisms in photovoltaic materials (e.g., backsheets, encapsulants, and silicon cells) under environmental stressors, with applications in improving reliability and service life through advanced data-driven approaches. Dr. Bruckman has contributed to the development of machine learning methods for material characterization (e.g., ToF-SIMS analysis) and spatiotemporal models for predicting degradation patterns in field-deployed PV systems. Her research also extends to curriculum design for applied data science, emphasizing industry-relevant training in statistical modeling and interdisciplinary problem-solving. Her expertise bridges materials science, data science, and energy systems, with over 50 peer-reviewed publications and a patent in classification using multivariate optical computing. Key technical contributions include analyzing environmental impacts on solar module performance, quantifying crack propagation in polymers, and developing predictive frameworks for material aging. Her work has been supported by collaborations with industry partners and federal research initiatives.

Carolyn Conner Seepersadمشاهده پروفایل

استاد

• Design for Additive Manufacturing
• Engineering Design
• Additive Manufacturing
• +۴ مورد دیگر

Carolyn Conner Seepersad serves as the J. Mike Walker Professor of Mechanical Engineering at the University of Texas at Austin and directs the Center for Additive Manufacturing and Design Innovation. She holds membership in the U.T. System Academy of Distinguished Teachers and maintains active leadership in the additive manufacturing community through roles such as co-organizer of the Solid Freeform Fabrication Symposium and ASME Design Engineering Division Executive Committee membership. Her academic credentials include: PhD in Mechanical Engineering from Georgia Tech (2004) MA/BA in Philosophy, Politics and Economics from Oxford University (1998, Rhodes Scholar) BS in Mechanical Engineering from West Virginia University (1996) Dr. Seepersad's research centers on computational design methodologies and additive manufacturing innovation , with particular expertise in simulation-based design of complex systems, environmentally conscious product development, and materials engineering. Her work bridges theoretical design frameworks with practical manufacturing applications, emphasizing sustainability and performance optimization across aerospace, automotive, and energy systems. Current projects explore reactive extrusion additive manufacturing, negative stiffness materials, and machine learning integration for process-aware design. Analysis of her 15 most recent publications reveals a dominant focus on process innovation in additive manufacturing (70%), particularly stereolithography and selective laser sintering, with growing emphasis on data-driven design approaches (20%) and sustainable engineering applications (10%). Her work demonstrates consistent progression from fundamental material design toward integrated system optimization and industrial scalability. Her scientific recognition includes: International Outstanding Young Researcher Award in Freeform and Additive Manufacturing (2009) UT System Regents’ Teaching Award (2010) ASME Design Automation Committee Outstanding Young Investigator Award (2010) ASEE Outstanding New Mechanical Engineering Educator Award (2013) Multiple ASME and ASEE best paper awards U.T. System Academy of Distinguished Teachers membership Dr. Seepersad maintains an extensive advising portfolio with 48 graduate students (16 PhD, 24 MS, and 8 current) plus 2 postdoctoral researchers, reflecting sustained research productivity and educational impact. Her Product, Process, and Materials Design Lab fosters interdisciplinary collaboration between mechanical engineering, materials science, and computational design teams.

Ed Pickeringمشاهده پروفایل

مدرس ارشد

• Metallurgy
• Materials Science
• Nuclear Engineering
• +۹ مورد دیگر

Ed Pickering is a Senior Lecturer in Metallurgy and Materials Engineering at the University of Manchester. He has held roles since 2015, advancing to Reader in 2023. His affiliations include the Henry Royce Institute (Research Area Lead for Advanced Metals Processing), the Advanced Metallics System CDT and Fusion CDT Management Boards, and industrial technical advisory panels. Ed’s work bridges academic and industrial collaboration with Rolls-Royce, UKAEA, Airbus, EDF, and Sheffield Forgemasters. Ed completed his undergraduate studies (2011) and PhD (2014) in Materials Science at the University of Cambridge, followed by a Research Associate role in Cambridge’s Rolls-Royce UTC. His academic trajectory includes: Senior Lecturer (2019–present) Reader (2023–present) Ed’s research focuses on phase transformations, microstructural characterization, and alloy development for nuclear (fission/fusion) and aerospace applications. Key themes include optimizing processing routes to enhance material properties while minimizing waste and environmental impact. His studies frequently address steel, high-entropy alloys, and novel refractory alloys, emphasizing their service performance under extreme conditions. His scientific contributions span structural integrity assessment of welded joints, machine learning applications in metallurgy, and material flow uncertainties in forging. He has also advanced heat treatment optimization for reactor steels and explored cobalt-free hardfacing alloys. Frank Fitzgerald Medal (2017) Grunfeld Memorial Medal (2021) In advising and grants, Ed leads the Materials Performance Centre (MPC) and co-leads the NEWAM project on wire-additive manufacturing. He supervises research across these initiatives and collaborates with over 30 PGR students in interdisciplinary teams. His work also involves managing technical facilities like the Advanced Metal Processing platform. Ed’s laboratory affiliations include the MPC and WAAM-based Engineering and Process Metallurgy groups, where he explores sustainable materials solutions for energy and aerospace industries.

• Tomography
• Computational Imaging
• Computer Science
• +۵ مورد دیگر

Joost Batenburg is a Professor at Leiden Institute of Advanced Computer Science (LIACS) , with a chair in Imaging and Visualization . He is affiliated with the Centrum Wiskunde & Informatica (CWI) and serves as Program Director for the interdisciplinary Society, Artificial Intelligence and Life Sciences (SAILS) initiative. His research focuses on tomographic image processing and reconstruction , where he has published over 80 journal articles and 60 conference papers. Current projects include Universal Three-dimensiOnal Passport for process Individualization in Agriculture (UTOPIA) and Center for Optimal, Real-Time Machine Studies of the Explosive Universe (CORTEX) , both funded by NWO grants. He leads the FleX-Ray Lab , a custom CT system integrated with advanced data processing algorithms. His research spans discrete tomography , real-time imaging pipelines , and AI-enhanced reconstruction methods , with applications in industrial inspection, agricultural analysis, and cultural heritage conservation. Recent articles demonstrate novel approaches to: Single-shot dynamic object tomography using level-set methods and motion modeling X-ray scattering quantification for defect detection in real-time systems Cross-modal image registration between CT scans and physical photographs Auto-differentiation in CT workflows combining classical and machine learning algorithms Scientific Awards: Dutch Award for ICT Research (2018) C.J. Kok Prize (2007) Philips Mathematics Prize (2006) He has supervised numerous PhD candidates including Mary Go, Eani Lachmansingh, and Zhichao Zhong, while maintaining editorial roles at IEEE Transactions on Computational Imaging and Journal of Mathematical Imaging and Vision . His work bridges theoretical mathematics with practical applications in agriculture, industry, and art conservation.

Xuming Heمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Artificial Intelligence
• +۹ مورد دیگر

Xuming He is an Associate Professor at the School of Information Science and Technology (SIST), ShanghaiTech University, where he leads the PLUS Lab. His research spans computer vision and machine learning with a focus on developing algorithms that operate effectively under limited supervision and evolving data conditions. His core research interests include weakly-supervised and few-shot learning for scenarios with sparse annotations, continual learning frameworks for knowledge retention during sequential task acquisition, semantic segmentation techniques for scene understanding, and multimodal vision-language representations. He emphasizes interpretable machine learning to build transparent AI systems capable of human-understandable reasoning, addressing critical challenges in model trustworthiness and deployment reliability. Recent publications reveal strong trends toward novel class discovery in long-tailed recognition scenarios, physics-informed generative modeling for scientific applications, and robust segmentation under distribution shifts. His work increasingly integrates large language models for multimodal reasoning while maintaining focus on efficiency in resource-constrained environments like robotic grasping and medical imaging analysis. He actively mentors students, having supervised Qian He to PhD completion and Chuanyang Hu to Master's degree in 2023. He welcomes prospective graduate students through ShanghaiTech's Computer Science & Technology program and offers undergraduate research projects requiring minimum six-month commitments. The PLUS Lab under his direction drives innovation in learning under supervision constraints, with recent work spanning medical tumor analysis, cross-view geolocation, photonic computing, and semiconductor design verification. The lab's research bridges theoretical advances with practical applications across healthcare, robotics, and scientific discovery domains.

• DNA Repair Mechanisms
• Genetics
• Pharmacology
• +۷ مورد دیگر

Colin R Campbell is an Associate Professor in the Department of Pharmacology at the University of Minnesota Medical School . His research focuses on DNA repair mechanisms , particularly DNA-protein crosslink repair , homologous recombination , and mitochondrial DNA stability , with significant contributions to understanding cancer mechanisms and genetic toxicology . Research Themes DNA-Protein Crosslink Repair Homologous Recombination Pathways Mitochondrial DNA Maintenance Chemotherapy-Induced DNA Damage Enzymatic Processing Mechanisms Article Trends 2024-2025 work emphasizes transcription-coupled DNA repair and ubiquitin-mediated repair pathways 2020-2023 studies explore mitochondrial crosslink repair and interdisciplinary sustainability leadership 2000-2018 publications cover rad51 interactions , nitrogen mustard effects , and calpain-mediated repair enzyme degradation Grants & Projects NIH/NHLBI: Summer Research (2024-2029) NIH/NIEHS: DNA-Protein Crosslink Repair (2019-2025) NIH/NHLBI: Cellular Repair Mechanisms (2018-2024) Collaborations Natalia Tretyakova (Chemistry) Hoang D Nguyen (Microbiology) Paul B Bitterman (Medicine) Beverly S Moriarity (Genetics)

Jingsong Zhouمشاهده پروفایل

استاد

• Neuromuscular Diseases
• Striated Muscle Physiology
• Calcium Signaling
• +۴ مورد دیگر

Dr. Jingsong Zhou is a Professor of Kinesiology and Associate Director of the Bone-Muscle Research Center at The University of Texas at Arlington. Her research focuses on neuromuscular diseases, particularly Amyotrophic Lateral Sclerosis (ALS), with expertise in striated muscle physiology, calcium signaling, and mitochondrial dysfunction. She leads the Neuromuscular Diseases Lab, which develops genetic mouse models and molecular probes to study ALS mechanisms. Dr. Zhou’s work has been supported by NIH, MDA, DOD, and the ALS Association. She serves on the NIH SMEP study section and has over 20 years of academic experience, including postdoctoral training at Vanderbilt University College of Medicine and a PhD from Rush University School of Medicine. Education: Postdoctoral Fellow in Pharmacology, Vanderbilt University College of Medicine (2001) PhD in Molecular Biophysics and Physiology, Rush University School of Medicine (1997) Diploma in Medicine, Hunan Medical University (Xiangya Medical School) (1986) Research Interests: Mechanisms of calcium signaling and mitochondrial dysfunction in ALS Role of sarcolemma repair and autophagy in neuromuscular disease progression Development of therapeutic strategies targeting mitochondrial health and membrane integrity Grants and Funding: NIH grants focused on ALS pathogenesis and muscle-bone interactions Support from MDA, DOD, and ALS Association for translational research projects Labs and Teams: Director of the Neuromuscular Diseases Lab at UT Arlington Collaborations in developing mouse models and molecular tools for ALS research

Ajay Pillarisettiمشاهده پروفایل

استادیار

• Household Energy Use
• Air Pollution Exposure
• Human Health Impacts
• +۵ مورد دیگر

Ajay Pillarisetti is an Assistant Professor at the University of California, Berkeley's School of Public Health, Department of Environmental Health Sciences. His research focuses on the interplay between household energy use, air pollution exposure, health outcomes, and climate change in low- and middle-income countries. A graduate of UC Berkeley (PhD) and Emory University (MPH, BS), he has led global projects in India, Mongolia, Nepal, Guatemala, Peru, and Rwanda. PhD – Environmental Health Sciences, UC Berkeley MPH – Global Environmental Health, Emory University BS – Biology, Emory College His work employs low-cost air quality sensors, longitudinal surveys, and randomized controlled trials like the HAPIN study to assess health impacts of clean fuel interventions. Key subfields include exposure assessment, implementation science, pollution's metabolic effects, and policy-driven energy transitions. He collaborates with teams across four continents and has published extensively on household air pollution's multi-scale health burdens. Recent articles (2023–2025) highlight trends in quantifying PM2.5's health effects, optimizing sensor networks, and evaluating LPG interventions for maternal/child health. His studies span Guatemala's RESPIRE cohort, Rwanda's HAPIN trial, and India's community monitoring systems, addressing gaps in exposure-response modeling, biomarker analysis, and policy advocacy.

Christoph Heinzlمشاهده پروفایل

استاد

• Scientific Visualization
• Visual Analytics
• Immersive Analytics
• +۳ مورد دیگر

Christoph Heinzl is a Professor of Cognitive Sensor Systems at the University of Passau since September 2022. He leads the Knowledge-based Image Processing research group at the Fraunhofer Development Center X-ray Technology (EZRT) . His academic background includes a PhD in Informatics and a Habilitation in 2022 , both from TU Wien . Research Focus: Scientific visualization, visual analytics, immersive analytics, virtual/augmented reality, machine learning, and X-ray computed tomography (XCT). Key Trends: Development of novel visualization techniques for complex volumetric data (e.g., dynamic volume lines, visual coherence frameworks), parameter space analysis, and cross-virtuality collaboration tools. Applications: Aerospace component inspection, defect analysis in composites (CFRP, GFRP), porosity quantification, and 4DCT time-series exploration.

• Geomaterials Physics
• Soft Matter
• Structured Materials
• +۱۳ مورد دیگر

Dr. Nicolas Francois is an Associate Professor in the Department of Materials Physics at Australian National University (ANU), specializing in experimental geomaterials physics, soft matter, and fluid hydrodynamics. He leads the X-ray Tomography and Applications Research Group, combining curiosity-driven and applied research in out-of-equilibrium systems. ARC Industry Fellow (2024-2030): Improving Australian iron ore comminution for green steel production ARC DECRA Fellow (2016-2018): Biofilms in two-dimensional turbulent flows His research spans fundamental questions in: Fragmentation of solid materials Autonomous devices powered by chaotic flows Hydrodynamic waves Stochastic thermodynamics Granular matter Polymer rheology and applied areas in: Comminution of geomaterials Mechanics of fractured rocks Wave-energy conversion Environmental fluid mechanics Publications reveal a trajectory focused on X-ray tomography applications, granular dynamics, and turbulence-driven systems. He utilizes advanced imaging techniques to study material failure mechanisms and fluid-structure interactions, contributing to fields ranging from green steel production to biofilm dynamics. Current student projects and grants emphasize sustainable resource processing and fundamental fluid physics.

• Welding Metallurgy
• Physical Metallurgy
• Additive Manufacturing
• +۱۰ مورد دیگر

Leijun Li, PhD, P.Eng., is a Professor in the Department of Chemical and Materials Engineering at the University of Alberta, where he also serves as Chair. With a career spanning institutions including Rensselaer Polytechnic Institute, University of Northern Iowa, and Utah State University, he specializes in physical metallurgy , welding metallurgy , and additive manufacturing . His research focuses on microstructure characterization, mechanical properties, and modeling of non-equilibrium phase transformations during welding and AM processes. Current affiliations: University of Alberta, American Welding Society, ASM International Research themes: Additive manufacturing of alloys, Corrosion science, Pipeline metallurgy, Phase transformations, Welding robotics He has received multiple AWS Hobart Awards (4 times) and Savage Awards (2 times) for his work on pipeline welding and metallurgy. His group has published extensively on topics including delta-ferrite retention in Grade 91 steel, inverse bainite transformations , and welding defect analysis . Recent projects include NSERC Alliance Missions Grant for rare earth mineral recovery and Alberta Innovates Ecosystem Program for advanced manufacturing. Key collaborators: Dr. Tom Lienert, Dr. Xiaoying Fang, Dr. P-Q Xu Labs: Rooms 2-158/3-133 (CME Building), Office 12th Floor DICE Building

Franz Pfeifferمشاهده پروفایل

استاد

• X-ray Physics
• Biomedical Imaging
• Computed Tomography
• +۶ مورد دیگر

Prof. Dr. Franz Pfeiffer is a full professor at the Chair of Biomedical Physics within the Department of Physics at the Technical University of Munich (TUM) . He has served as director of the Munich School of BioEngineering since 2016. His research focuses on translating advanced X-ray physics concepts to biomedical imaging and clinical applications, particularly for early cancer and osteoporosis diagnostics. Research Interests: X-ray phase-contrast and dark-field imaging, synchrotron instrumentation, CT reconstruction algorithms, and medical imaging technology. Awards: Alfred Breit Prize (2017) ERC Advanced Grant (2016) Leibniz Prize (2011) National Latsis Prize (2010) ERC Starting Grant (2009) His work bridges fundamental X-ray physics with clinical translation, involving collaborations with radiologists, engineers, and medical researchers. Recent publications emphasize AI integration in CT, dark-field chest radiography, and spectral imaging applications.

John Eberthمشاهده پروفایل

دانشیار

• Cardiovascular Engineering
• Biomechanics
• Mechanobiology
• +۹ مورد دیگر

Dr. John F. Eberth is an Associate Professor at Drexel University's School of Biomedical Engineering, Science and Health Systems. As a cardiovascular engineer with expertise in mechanical controls, continuum biomechanics, and hydrogel-based extracellular matrix mimetics, he leads the Applied Biomechanics and Mechanobiology Lab (ABML) to investigate vascular behavior under mechanical stimuli. PhD in Biomedical Engineering from Texas A&M University (2008) MS in Mechanical Engineering from Clemson University (2004) BS in Mechanical Engineering from Clarkson University (2001) His research focuses on vascular pathology and mechanobiology, including: Aortopathy and aneurysm mechanics Endothelial dysfunction and arterial stiffening Hydrogel-based vascular grafts Calcification chelation therapy Coronary artery disease Perfusion tissue culture Recent publications demonstrate expertise in vascular imaging techniques, mechanical modeling, and therapeutic interventions. Key themes include drug-coated balloon development, collagen fiber mechanics, and bioreactor systems for vascular conditioning.

• Transmission Electron Microscopy (TEM) Method Development
• Charge Particle Optics and Scattering Theory
• Magnetic Nanotextures
• +۳ مورد دیگر

Dr. Axel Lubk is a Group Leader at the Institute for Solid State Research (IFW Dresden) , specializing in advanced electron microscopy techniques for materials science. His research spans four key areas: (1) TEM method development (high-resolution imaging, tomography, holography, and in-situ techniques), (2) charge particle optics and scattering theory , (3) magnetic nanotextures (domain walls, skyrmions), and (4) plasmonics (mode hybridization in heterogeneous structures and semiconductor heterostructures). Dr. Lubk’s work focuses on three-dimensional magnetic texture analysis using electron holography and tomography, particularly in systems like skyrmion tubes , FeGe , and Cr2O3 thin films . He has pioneered techniques for vector-field electron tomography and phase retrieval under varying boundary conditions, advancing nanoscale magnetic imaging. His recent studies include plasmonic properties in AgAu nanosphere chains , thermoelectric multilayer systems , and topological insulators like NiRh2Sb and TaTMTe4 . Dr. Lubk has published extensively in high-impact journals such as Nature Communications and Advanced Materials , with a focus on TEM instrumentation and quantitative analysis . He frequently presents at international conferences like the International Microscopy Congress and European School of Magnetism , emphasizing applications in spintronics , quantum materials , and nanostructured systems . His contributions to holographic vector-field electron tomography and machine learning for spectrum-image data have set new standards in electron microscopy.