جست‌وجوی استاد و پژوهشگر

Thorsten Wuestمشاهده پروفایل

استاد

• Smart Manufacturing
• Industry 4.0
• Digital Twins
• +۳ مورد دیگر

Thorsten Wuest is a Full Professor in Mechanical Engineering at the University of South Carolina's Molinaroli College of Engineering and Computing. Recognized as one of SME's 20 most influential professors in smart manufacturing, he leads research in Industry 4.0 applications. Education: Ph.D. in Production Engineering, University of Bremen (Summa Cum Laude) M.Sc. in Industrial Engineering and Management, University of Bremen Master of Professional Business Studies, AUT University Auckland His research integrates AI/ML with industrial systems , focusing on smart manufacturing, digital twins, and hybrid analytics. Current projects span federated learning for distributed manufacturing, gamification in industrial assembly, and energy digital twins. Recent publications demonstrate strong emphasis on time-series analytics (40% of works) and human-centric manufacturing (30%). Research is funded by NSF, NIST, DoE, and international agencies. Honors: Sloan Fellowship NSF Career Award Statler Outstanding Researcher Award Infinite Kilometer Award Laboratory & Teams: Directs the Smart Manufacturing Lab with 15+ members including postdocs, PhD students, and undergraduates. Current collaborations involve Festo Didactic, Siemens, and international partners developing testbed-as-a-service platforms.

Kathryn Grandfieldمشاهده پروفایل

دانشیار

• Biomaterials
• Osseointegration
• Electron Microscopy
• +۳ مورد دیگر

Dr. Kathryn Grandfield is an Associate Professor in Materials Science & Engineering and the McMaster School of Biomedical Engineering, holding the Canada Research Chair in Microscopy of Biomaterials and Biointerfaces. Her research pioneers multi-scale characterization of bone-implant interfaces using advanced microscopy techniques including electron, ion beam, and atom probe tomography. She directs the Grandfield Research Group focusing on biomaterials development for orthopedic and dental applications. Research interests span biomaterials design, bone-implant interfaces, mineralized tissue characterization, and advanced microscopy techniques. Her work provides fundamental insights for improving implant success and understanding pathological bone conditions. Publications focus on biomineralization processes, implant characterization, and advanced imaging techniques, with recent work leveraging liquid-phase electron microscopy to observe mineralization dynamics in real-time. University Scholar (2023) President's Award for Excellence in Graduate Supervision (2022) Canada Research Chair in Microscopy of Biomaterials and Biointerfaces (2021) Faculty of Engineering Teaching Excellence Award (2019) Early Researcher Award - Ontario Research Fund (2018-2023) Leads the Grandfield Research Group at McMaster's Canadian Centre for Electron Microscopy. Teaches graduate courses including MATLS 701 Graduate Seminar and MATLS 702 Graduate Seminar (Ph.D.).

Ilenia Battiatoمشاهده پروفایل

دانشیار

• Energy Science Engineering
• Battery Systems
• Superhydrophobicity and Drag Reduction
• +۵ مورد دیگر

Ilenia Battiato is an Associate Professor in the Department of Energy Science & Engineering at Stanford University . Her academic journey includes postdoctoral research at the Max Planck Institute for Dynamics and Self-Organization and faculty roles at Clemson University, San Diego State University, and Stanford. PhD in Mechanical & Aerospace Engineering, University of California, San Diego (2010) MSc in Engineering Physics, UC San Diego (2008) 5-year Laurea in Environmental Engineering, Politecnico di Milano, Italy (2005, Summa cum Laude) Her research focuses on energy and environmental systems using multiscale modeling and effective medium theories to address challenges in: Battery systems and thermal runaway analysis Superhydrophobic surfaces for drag reduction Carbon sequestration and geologic hydrogen storage Reactive transport in fractured media Membrane distillation optimization Recent publications highlight her work on machine learning-enhanced porous media modeling and hybrid simulation frameworks across 2025-2023. She has advised over 10 doctoral students and serves as a referee for 12 major scientific journals. Key scientific recognitions include: Department of Energy Young Investigator Award (2015) Eastman Chemical Excellence Award (2013) ‘Aci e Galatea’ Career Award, Italy (2012) Outstanding Student Paper Award, AGU (2008) As an academic leader, she: Organizes sessions at top conferences (AGU, Interpore) Develops innovative courses on Fluid Mechanics and Heat Transfer (ENERGY 297) and Mass and Energy Transport in Porous Media (ENERGY 120) Chairs doctoral research (ENERGY 363) and supervises undergraduate energy projects (ENERGY 193)

Oliver Jensenمشاهده پروفایل

استاد

• Continuum Mechanics
• Transport Processes
• Multiscale Methods
• +۵ مورد دیگر

Oliver Jensen is a Professor of Applied Mathematics at the University of Manchester, leading the Department of Mathematics. His research integrates continuum mechanics, transport processes, and multiscale modeling in biological and medical systems. He has held academic roles at institutions including the University of Nottingham and the University of Cambridge. His work spans plant biomechanics, placental microcirculation, and surfactant-driven flows, with contributions to understanding tissue growth, fluid-structure interactions, and biomedical applications. He supervises PhD students and collaborates on projects like placental oxygenation and lung mechanics. His research aligns with UN Sustainable Development Goals in health and sustainable cities. Education: PhD in Applied Mathematics from the University of Cambridge (1991). Research Groups: Continuum Mechanics, Mathematics in the Life Sciences. Key research interests include plant cell expansion, fluid dynamics in biological systems, and biomechanical modeling of soft tissues. His studies on surfactant behavior and superhydrophobic surfaces address drag reduction and material science challenges. He has contributed to understanding placental transport mechanisms and airway reopening dynamics, with implications for clinical conditions like asthma and cystic fibrosis. Recent work explores tissue metabolism effects in feto-placental networks and the role of mechanical stress in cell division. Collaborative projects with clinical and engineering teams focus on translating mathematical models to medical applications.

Liza Levinaمشاهده پروفایل

استاد

• High-Dimensional Statistical Inference
• Statistical Network Analysis
• Neuroimaging
• +۳ مورد دیگر

Liza Levina is the Vijay Nair Collegiate Professor and Chair of the Department of Statistics at the University of Michigan. She is affiliated with the Michigan Institute for Data and AI in Society and the Center for the Study of Complex Systems. Her expertise lies in high-dimensional statistical inference and statistical network analysis, with applications in neuroscience and imaging. She earned her PhD in Statistics from UC Berkeley in 2002 and has been at the University of Michigan since then. Her research focuses on network analysis, statistical learning, and big data, particularly in neuroimaging. She has received notable awards, including the ASA Junior Noether Award, and is a Fellow of both the ASA and IMS. She was an invited speaker at the 2018 International Congress of Mathematicians and an IMS Medallion lecturer. Levina’s work bridges theoretical advancements and practical applications, such as analyzing brain connectivity networks and developing methods for community detection in complex systems. She has contributed to methodologies for network cross-validation, pseudo-likelihood approaches, and conformal prediction in network-assisted regression. Her affiliations include leadership roles in the Department of Statistics and collaborations across interdisciplinary institutes. Her research has been recognized with prestigious acknowledgments, reflecting her impactful contributions to statistical science and its applications.

• Genetics
• Neuroscience
• Biostatistics
• +۳ مورد دیگر

Bernard Ng is a Researcher at the University of British Columbia’s Department of Statistics within the Faculty of Science. His work bridges advanced statistical methodologies with biomedical research, focusing on genetic and molecular mechanisms underlying neurological and immunological conditions. He is affiliated with the Centre for Molecular Medicine and Therapeutics, emphasizing translational research. Ng’s research interests span neurodegenerative diseases, particularly Alzheimer’s, leveraging spatial transcriptomics and omics integration to elucidate disease pathways. He applies machine learning to analyze immune profiles in graft-versus-host disease and develops predictive models for gene expression and clinical outcomes. His computational expertise includes network analysis, clustering algorithms, and multimodal data integration. Key contributions include identifying genetic variants linked to Alzheimer’s pathology, uncovering molecular correlates of brain connectivity, and establishing diagnostic classifiers for chronic GVHD. His work frequently involves large-scale genomic studies and interdisciplinary collaborations, integrating statistics, bioinformatics, and clinical data. Ng’s lab focuses on translational applications of statistical models in healthcare, with a particular emphasis on pediatric immunology and neurodegenerative biomarkers. His methodologies address challenges in personalized medicine, such as predicting disease trajectories and optimizing treatment strategies through data-driven approaches.

• Brain Health
• Biomedical Engineering
• Computational Modeling
• +۳ مورد دیگر

Professor Johannes Weickenmeier is an Associate Professor of Brain Health at the University of Oxford's Department of Engineering Science and a Fellow of St. Cross College. He leads the Brain Health initiative at the Podium Institute and previously served as Director of the Center for Neuromechanics at Stevens Institute of Technology (2022–2024). He holds a Dr. Sc. ETH Zurich (2015) and completed postdoctoral training at Stanford University. His research focuses on computational models to study brain mechanics in aging, neurodegeneration, and traumatic injury, aiming to enable early diagnosis of abnormal brain changes. Education & Positions: PhD in Engineering, ETH Zurich (2015) Postdoctoral Research Fellow, Stanford University (2015–2018) Assistant Professor, Stevens Institute of Technology (2018–2024) Research Interests: His work integrates biomechanical, biochemical, and computational approaches to understand brain damage mechanisms. Key areas include multiphysics modeling of brain aging, prion-like disease progression, and the mechanical role of myelination. His lab uses finite-element analysis, inverse modeling, and AI-driven tools like AI-dente for soft tissue characterization. Awards & Recognition: 2024 National Science Foundation CAREER Award 2022 Editor’s Choice Award for ventricular wall modeling study 2022 Stevens Employee Recognition Award for student-centric initiatives Grants & Mentorship: He secured major grants including the NSF CAREER Award and supervised numerous undergraduate researchers. His 2020 paper details lessons from virtual undergraduate research programs. Labs & Teams: He founded the Center for Neuromechanics at Stevens (2019) and collaborates with the Institute of Biomedical Engineering in Oxford.

• Neuroscience
• Cognitive Neuroscience
• EEG Signal Processing
• +۳ مورد دیگر

Dr. Myles Jones is a Senior Lecturer at the School of Psychology, University of Sheffield, with affiliations to the Interdisciplinary Centre of the Social Sciences (ICOSS). His research focuses on neurovascular coupling, EEG signal processing, and neuromodulation techniques like tDCS. He explores these topics in the context of neurodevelopmental conditions (e.g., autism spectrum conditions) and genetic syndromes (e.g., 16p11.2 CNVs). His work bridges cognitive neuroscience and clinical applications, including studies on neural variability and individual differences in traits like autism and schizotypal personality. Education: BSc, MSc, PhD Teaching Roles: Examinations Officer for PSY 1003, Module Organiser for PSY 6305, and contributor to inquiry-based learning initiatives. Professional Recognition: Senior Fellow of the Higher Education Academy (SFHEA), University of Sheffield Senate Fellow of Learning and Teaching Excellence. Dr. Jones’s research emphasizes EEG and fMRI analysis to study neural dynamics in health and disease. Notable areas include the role of anticipation in sports (collaboration with Prof. Richard Rowe), and the impact of neuromodulation on working memory and tinnitus. His recent work explores the neurophysiological correlates of psychiatric traits, leveraging big data and mobile EEG technologies. Publications highlight advancements in understanding neurovascular relationships, EEG metrics for neurodevelopmental conditions, and the efficacy of tDCS. Key themes include neural variability, peak gamma frequency differences in autism, and placebo effects in cognitive tasks. Scientific Awards: Senior Fellow of the Higher Education Academy (SFHEA) University of Sheffield Senate Fellow of Learning and Teaching Excellence Dr. Jones advises PhD students through the School of Psychology and ICOSS, focusing on interdisciplinary neuroscience and clinical applications. He has secured grants for projects like mobile EEG studies in autism and tDCS clinical trials for auditory hallucinations. His lab collaborates internationally, as evidenced by multi-site replication studies and systematic reviews. Labs/Teams: Active in the University of Sheffield’s Neuroscience Institute and ICOSS, leading research on neurodevelopmental conditions and cognitive neuroscience methodologies.

Alexander Fletcherمشاهده پروفایل

استاد

• Mathematical Biology
• Computational Science
• Tissue Homeostasis
• +۳ مورد دیگر

Professor Alexander Fletcher is a faculty member in the School of Mathematical and Physical Sciences at the University of Sheffield, holding the title of Professor of Mathematical Biology and School Director of Research and Innovation. He previously held roles including Senior Lecturer (2022–2024), Lecturer (2019–2022), and Vice-Chancellor's Fellow (2015–2019). His research focuses on mathematical modeling of biological systems, particularly how tissue-level behaviors emerge from cell-level processes in embryos, cancer, and developmental contexts. Education: DPhil in Mathematics (University of Oxford, 2005–2010), MSc in Mathematical Modelling & Scientific Computing (Oxford), and an undergraduate degree in Mathematics from the University of Cambridge. Research Interests: Development of discrete and continuous models to study tissue homeostasis, cancer formation, and embryonic proportioning. Techniques include individual-based simulations and multiscale modeling. Grants: Lead Principal Investigator on BBSRC-funded projects (e.g., 'Inferring epithelial tissue mechanics through data-efficient multi-fidelity modelling') and EPSRC grants. Collaborative grants include Wellcome Trust-funded work on hypothalamic development. Teaching: Courses include MAS116 Mathematical Investigation Skills and MAS2007 Mathematics and Statistics in Action. Research Group: Member of the Mathematical Biology research group at Sheffield. Labs/Teams: Active in computational biology and mathematical modeling initiatives, contributing to software development like Chaste for multiscale modeling.

Anna Grosbergمشاهده پروفایل

دانشیار

• Cardiovascular Modeling
• Tissue Engineering
• Stem Cell Biology
• +۴ مورد دیگر

Anna Grosberg, Ph.D., is an Associate Professor and Core Lab Faculty Director in the Department of Biomedical Engineering at the University of California, Irvine (UCI). She leads the Cardiovascular Modeling Laboratory, part of the UCI Edwards Lifesciences Foundation Cardiovascular Innovation and Research Center (CIRC). Her work focuses on integrating computational modeling and tissue engineering to study cardiac development, function, and disease mechanisms, particularly leveraging stem cell-derived cardiomyocytes and in vitro/in silico models. Her research interests include multiscale modeling of cardiac structure-function relationships, mechanobiology of cardiac tissue, and translational applications in regenerative medicine. Key topics involve hypoxia effects in obstructive sleep apnea, genetic cardiomyopathies (e.g., LMNA mutations), and the biophysical basis of cardiac contractility. Collaborations span engineering, medicine, and industry to develop tools for drug discovery, medical devices, and personalized treatments. Dr. Grosberg has pioneered platforms like the 'Heart on a Chip' and developed quantitative methods for assessing cytoskeletal changes in diseases such as lung cancer and muscular dystrophy. Her educational contributions include the CardioStart program, a virtual tissue engineering course for high school students. Her lab emphasizes interdisciplinary innovation, combining experimental assays with advanced modeling to address cardiac disease at cellular, tissue, and organ levels. Current projects explore how mechanical forces influence myogenesis, the role of microtubules in muscle fiber integrity, and predictive models for OSA severity assessment.

Mathis Frickeمشاهده پروفایل

پژوهشگر

• Analysis
• Fluid Dynamics
• Wetting Dynamics
• +۳ مورد دیگر

Dr. Mathis Fricke is a researcher in the Department of Mathematics at TU Darmstadt, affiliated with the Mathematical Modeling and Analysis (MMA) Institute. His work focuses on computational fluid dynamics, wetting processes, and mathematical modeling of multiphase systems. He specializes in numerical methods such as the Volume-of-Fluid (VOF) technique and Level-Set approaches, with applications to capillary dynamics, surfactant transport, and interface tracking in complex geometries. His research bridges experimental validation with numerical simulation, addressing challenges in fluid mechanics, energy systems, and biomedical engineering. Key areas of expertise include dynamic contact angle modeling, multiphase flow simulations using OpenFOAM modules, and optimization of fluid transport in microfluidic systems. He has contributed to advancing numerical frameworks for unstructured meshes and has collaborated on projects involving Bayesian model calibration and error quantification for energy economy systems. Dr. Fricke's work is characterized by interdisciplinary collaboration, combining analytical mathematics with high-performance computing. His publications span topics such as capillary rise dynamics, tribology measurements, and eigenmode analysis of slip-induced flows. Despite no explicitly listed awards, his contributions to computational methodologies have been recognized through his active role in the MMA Institute and academic collaborations. He maintains a lab/office in L2|06 411, Peter-Grünberg-Straße 10, Darmstadt, and is accessible via fricke@mma.tu-darmstadt.de.

Knut Solnaمشاهده پروفایل

استاد

• Applied and Computational Mathematics
• Inverse Problems and Imaging
• Probability
• +۴ مورد دیگر

Knut Solna is a Professor and Vice-chair for Graduate Studies in the Department of Mathematics at the University of California, Irvine. His research focuses on applied and computational mathematics, inverse problems, imaging, probability, and stochastic volatility modeling in financial markets. He has co-authored influential books including Mathematical and Statistical Methods for Multistatic Imaging and Wave Propagation and Time Reversal in Randomly Layered Media . His work spans theoretical developments in wave propagation in random media, financial derivatives pricing under stochastic volatility, and imaging techniques using advanced mathematical and statistical methods. Solna's contributions also include studies on time-reversal acoustics, enhanced backscattering, and applications of random matrix theory in sensor array imaging. He holds an office in Rowland Hall and maintains an active research program with numerous peer-reviewed publications in top journals.

Elizabeth Bartolak-Sukiمشاهده پروفایل

عضو هیئت علمی

• Mechanotransduction pathways
• Respiratory mechanobiology
• Vascular mechanobiology
• +۴ مورد دیگر

Elizabeth Bartolak-Suki is a Research Assistant Professor in the Department of Biomedical Engineering at Boston University's College of Engineering. She holds a B.S., M.S. in Basic Medical Sciences, and an M.D. from the Medical School of Szeged, along with a D.Sc. (PhD equivalent) in Molecular Cell Biology from the Medical School of Budapest. Her primary research focuses on mechanotransduction pathways in respiratory and vascular systems, including organelle mechanobiology and protein post-translational modifications. She develops novel live imaging techniques to study cellular responses to mechanical forces in dynamic environments, with applications in vascular tissue engineering and alcohol-related vascular malformations. Education: B.S./M.S. in Basic Medical Sciences, Medical School of Szeged M.D. in General Medicine, Medical School of Szeged D.Sc. in Molecular Cell Biology, Medical School of Budapest Her research explores how mechanical forces from breathing, blood flow, and physiological rhythms regulate cell functions, cytoskeletal organization, and molecular signaling. Techniques include real-time imaging and dynamic mechanical modeling to investigate mitochondrial behavior, extracellular matrix interactions, and disease mechanisms in emphysema and pulmonary fibrosis. Recent work highlights the role of variability in mechanical stimuli for maintaining homeostasis and tissue repair. Publications emphasize mechanobiology applications in lung and vascular systems, with notable contributions to tissue engineering and ventilation strategies. Her studies bridge molecular mechanisms with clinical applications, particularly in optimizing variable ventilation for preterm lambs and mitigating ventilator-induced lung injuries. Dr. Bartolak-Suki’s lab focuses on translational research, combining engineering approaches with biological systems to address unmet clinical needs in respiratory and vascular health. Current projects include developing biomaterials for vascular repair and elucidating mitochondrial responses to mechanical stress in aging and disease.

Miao Yansongمشاهده پروفایل

دانشیار

• Cell Biology
• Plant Immunity
• Molecular Biology
• +۳ مورد دیگر

Assoc Prof Miao Yansong is an Associate Professor and Assistant Chair (Internationalization) in the School of Biological Sciences at Nanyang Technological University (NTU), Singapore. His research focuses on actin cytoskeleton dynamics, molecular condensation in cell signaling, and plant immunity. He holds a PhD from The Chinese University of Hong Kong and completed his postdoctoral training at UC Berkeley as a Human Frontier Science Program Fellow. Education: PhD (2006–2009), The Chinese University of Hong Kong Postdoc (2010–2014), UC Berkeley Awards: Nanyang Assistant Professorship (2015–2021) Singapore National Research Foundation Investigator (2023–present) His lab investigates how biomolecular condensates regulate actin assembly during plant immunity and fungal growth. Key projects include studying nanoscale plasma membrane domains in plant-pathogen interactions and applying machine learning to predict condensate formation. Recent work integrates quantum technology for sensing biological processes. Lab members include senior postdocs, graduate students, and visiting scholars from institutions worldwide. Current research also explores synthetic engineering of 'designer condensates' to enhance agricultural resilience.

Shinuo Wengمشاهده پروفایل

استادیار

• Multiscale mechanobiology
• Tissue morphogenesis
• Collective cell movement
• +۳ مورد دیگر

Shinuo Weng is an Assistant Professor of Mechanical Engineering at Johns Hopkins University (JHU), leading the Tissue Morpho & Mechanics Laboratory (TMML). Her research focuses on bridging mechanical engineering and developmental cell biology to understand tissue morphogenesis during embryonic development. Weng earned her BEng from Shanghai Jiao Tong University (2009), followed by a master's and PhD in Mechanical Engineering in Biosystems from the University of Michigan (2011 and 2016). After a postdoc at the University of Texas at Austin, she joined JHU in 2024. Research Interests: Weng investigates multiscale mechanobiology, exploring how mechanical forces at different scales influence tissue shaping. Her lab uses interdisciplinary approaches to study cell-ECM interactions, collective cell movement, and the deviations in mechanical forces leading to congenital anomalies. Recent work includes studies on planar cell polarity (PCP) dynamics and force propagation during convergent extension. Current Projects: The TMML lab develops engineering tools to recreate mechanical forces driving tissue growth. Notable contributions include studies on cadherin clustering, ARVCF catenin roles in force production, and the biomechanical integration of cell behaviors. Weng also teaches an introductory course on mechanobiology for engineering students. Labs/Teams: The TMML lab includes PhD students Shuyuan Wang, Arjun Vijaykumar, and undergraduates Daniel Quinteros, Lawrence Wang, Heather Ostic, Alejandro Garcia, and Siyang Sun. The team collaborates on projects ranging from robotics in cell behavior analysis to bioengineered tissue models. Grants & Future Work: Weng’s work is likely supported by grants focusing on mechanobiology and developmental engineering. Future directions include advancing 3D tissue engineering and exploring clinical applications of mechanotransduction insights.