جست‌وجوی استاد و پژوهشگر

Francis Lothمشاهده پروفایل

استاد

• Biomedical Engineering
• Fluid Mechanics
• Neurology
• +۵ مورد دیگر

Francis Loth is a Professor at Northeastern University, holding dual appointments in the Mechanical and Industrial Engineering Department and the Bioengineering Department. His research focuses on biological fluid mechanics, particularly cerebrospinal fluid (CSF) dynamics, Chiari malformation, and syringomyelia. He leads studies using advanced imaging (MRI) and computational models to understand CSF flow impedance, brain tissue motion, and surgical outcomes. Education: PhD in Mechanical Engineering from Georgia Institute of Technology (1993). Research Interests: Experimental and computational fluid mechanics in biological systems CSF simulation and brain biomechanics Medical image processing for neurology Cardiac-coupled neural tissue motion Key Work: His team investigates morphometric changes in Chiari patients, develops MRI techniques for brain displacement quantification, and evaluates surgical interventions like posterior fossa decompression. Projects include the Chiari 1000 Registry and collaborations with neurosurgeons to improve clinical outcomes. Labs/Teams: Active in the Institute for Mechanobiology, focusing on translational research between fluid dynamics and neurological disorders.

• Stochastic Geometry
• Spatial Statistics
• Image Analysis
• +۳ مورد دیگر

Claudia Redenbach is a Professor and Dean of Mathematics at RPTU Kaiserslautern, Germany. She is affiliated with the Department of Mathematics and leads the Statistics Working Group (AG Statistik), with additional connections to the Department of Statistics and the Graduate School 'Mathematics as a Key Technology.' Position: Dean of Mathematics Institution: RPTU Kaiserslautern Location: Building 48, Room 534, Gottlieb-Daimler-Straße, 67663 Kaiserslautern Contact: claudia.redenbach@rptu.de | +49 (0)631 205 3620 Professor Redenbach's research focuses on the intersection of stochastic geometry, spatial statistics, and image analysis with applications in materials science. Her work bridges theoretical mathematics with practical engineering applications, particularly in analyzing microstructures of concrete, foams, composites, and other materials. She has developed innovative methods for analyzing spatial point patterns, directional data, and 3D image data from various microscopy techniques including CT, FIB-SEM, and light-sheet microscopy. Her recent publications (2024-2025) reveal a strong emphasis on computational methods for materials analysis, including crack detection in concrete, fiber orientation analysis, artifact removal in imaging, and the development of mathematical morphology techniques for directional data. She frequently collaborates with materials scientists and engineers, with K. Schladitz appearing as a consistent co-author across numerous publications. Her work demonstrates a consistent focus on developing mathematical tools that solve practical problems in materials characterization and analysis. Professor Redenbach has made significant contributions to spatial statistics, particularly in anisotropy analysis of point patterns, and to the application of stochastic geometry models for material microstructure analysis. Her research spans both theoretical developments in statistical methods and their practical implementation for real-world materials science problems.

Ali Mohrazمشاهده پروفایل

استاد

• Colloidal Dispersions
• Rheology of Soft Materials
• Self-Assembly in Multiphase Fluids
• +۵ مورد دیگر

Ali Mohraz is a Professor in the Department of Chemical and Biomolecular Engineering with a joint appointment in Materials Science and Engineering at the Samueli School of Engineering, University of California, Irvine. He also serves as the Associate Dean for Graduate and Professional Studies Student Affairs, demonstrating his leadership role within the engineering school. Dr. Mohraz received his educational training from: B.S. in Chemical Engineering from Azad University (1996) M.E. in Chemical Engineering from The City University of New York (1999) Ph.D. in Chemical Engineering from University of Michigan (2004) Post-Doctoral training in Materials Science and Engineering from University of Illinois (2004-2006) Dr. Mohraz's research focuses on the physics of colloidal dispersions, rheology of soft materials, and self-assembly in multiphase fluids . His work bridges fundamental understanding with practical applications in healthcare, energy, and nanotechnology. He specializes in designing and synthesizing novel microstructured materials and composites through bottom-up approaches. His teaching interests include Transport Phenomena, Chemical Engineering Thermodynamics, Colloid and Interface Science, and Computational and Analytical Engineering Mathematics. Analysis of Dr. Mohraz's recent publications reveals a strong focus on bijels (bicontinuous interfacially jammed emulsion gels), porous materials, and their applications in energy storage and biomedical engineering. His research demonstrates a consistent thread connecting fundamental colloidal science with practical engineering applications, particularly in battery technology and drug delivery systems. The interdisciplinary nature of his work is evident in the range of journals where he publishes, spanning chemical engineering, materials science, and biomedical engineering. Dr. Mohraz leads the Colloid Science Laboratory (Soft Matter Engineering Laboratory) at UC Irvine, where his team investigates the microstructural design of advanced materials. His lab focuses on developing novel fabrication techniques for creating structured materials with applications in energy storage, biomedical devices, and advanced composites.

Su Chin Heoمشاهده پروفایل

استادیار

• Nuclear Mechanobiology
• Musculoskeletal Tissue Engineering
• Regenerative Medicine
• +۳ مورد دیگر

Dr. Su Chin Heo is an Assistant Professor in the Department of Orthopaedic Surgery at the Perelman School of Medicine, University of Pennsylvania. He also holds affiliations with the Graduate Groups in Cell and Molecular Biology, Pharmacology, and Bioengineering. Education: B.S. in Biomedical Engineering, Inje University (2006) M.S. in Biomedical Engineering, Inje University (2008) Ph.D. in Bioengineering, University of Pennsylvania (2015) Dr. Heo's research focuses on musculoskeletal cell and tissue engineering, specifically investigating the interaction between biophysical environments and cellular biology in tissue remodeling. His work utilizes advanced techniques like Super-resolution STORM microscopy to study nanoscale chromatin organization and employs bioreactors and biomaterial systems to control cellular microenvironments. He also explores therapeutic strategies for fibrous connective tissue regeneration through 3D bioprinting and electrospinning technologies. Recent Research Trends include chemomechanical regulation of stem cell differentiation, spatial genome organization in fibrous tissues, and multiphasic tissue construct engineering. These studies bridge biomechanics with epigenetics, particularly examining how mechanical cues affect chromatin dynamics and nuclear architecture. Scientific Awards: Korean-BMES Young Investigator Award (2024) Lab Activities show a vibrant research team presenting at major conferences like the World Biomaterials Congress and ORS. The lab develops innovative scaffolds for osteochondral repair, meniscus regeneration, and rotator cuff reconstruction, while mentoring PhD students and postdoctoral fellows.

• Quantitative MRI
• Diffusion MRI
• Medical Imaging
• +۴ مورد دیگر

Dr. Samira Bouyagoub is a Research Fellow II at the Clinical Imaging Sciences Centre (CISC) within Brighton and Sussex Medical School (BSMS) and holds an affiliation with the School of Psychology at the University of Sussex. She is part of the MRI Physics group led by Prof. Mara Cercignani and has been at BSMS since February 2015. Dr. Bouyagoub's research focuses on quantitative MRI, particularly diffusion MRI which measures microstructural properties of tissue. She develops multimodal tissue modeling approaches by combining diffusion MRI and relaxometry to better understand changes in brain tissue properties. Her publication record shows expertise in applying these techniques to various neurological conditions including dementia, multiple sclerosis, ALS, and Tourette syndrome. Recent work (2023-2025) spans from microstructural changes in ALS patients to cerebral function parameters in HIV patients with insomnia. She is actively involved in research funding, currently participating in the CLIMB-ALS study funded by the Motor Neurone Disease Association and a study on anxiety in joint hypermobility funded by MQ TRANSFORMING MENTAL HEALTH. Her technical expertise extends to providing software and hardware support for fMRI research equipment at CISC. Dr. Bouyagoub contributes to teaching through student-selected components in Neuroscience and Behaviour, Academic Skills for first-year students, and an Anatomy and Physics module in the MSc Clinical Radiology program, demonstrating her commitment to training the next generation of medical professionals and researchers.

Jacques-Donald Tournierمشاهده پروفایل

دانشیار

• Diffusion MRI
• Neuroimaging
• Tractography
• +۴ مورد دیگر

Dr. Jacques-Donald Tournier serves as Reader in Biomedical Engineering at King's College London's Centre for the Developing Brain, where he leads research in advanced diffusion MRI methodologies. His work spans the Department of Biomedical Engineering and Department of Perinatal Imaging and Health at St Thomas' Hospital, focusing on white matter connectivity characterization and neonatal brain imaging through the Developing Human Connectome Project. His educational background includes: PhD in Diffusion Tensor MRI, UCL Institute of Child Health (2003) MSc in Trabecular Bone Architecture Analysis, University of Cambridge (1999) BA, University of Cambridge (1998) Research interests center on computational neuroimaging innovation, with seminal contributions to spherical deconvolution, probabilistic tractography (Track Density Imaging, Anatomically Constrained Tractography), and fixel-based analysis. Current work prioritizes neonatal diffusion MRI optimization and multi-shell HARDI data analysis, driving advancements in both methodological rigor and clinical translation for neurosurgical applications. His research bridges engineering, neuroscience, and clinical medicine through the MRtrix3 open-source platform. Scientific recognition includes: Editor's Choice Award (2014) President's Awards (2009, 2013) Discovery Outstanding Researcher Award (2013) Outstanding Teacher Award (2006) Dr. Tournier currently supervises postgraduate research within active grant frameworks, including the EPSRC-funded MRtrix project (2023-2026) and MRC neurodevelopment studies in congenital heart disease (2021-2026). His mentorship emphasizes methodological innovation and clinical translation, with students contributing to high-impact publications in neuroimaging. The Centre for the Developing Brain provides a collaborative environment integrating software development, clinical research, and large-scale connectome projects, supported by substantial infrastructure from the Wellcome/EPSRC Centre for Medical Engineering.

• Magnetic Resonance Imaging
• Advanced Image Reconstruction
• Quantitative MRI Methods
• +۵ مورد دیگر

Tobias Wood serves as a Senior Lecturer in Magnetic Resonance Imaging within Neuroimaging, leading multiple externally funded research initiatives focused on advancing quantitative MRI methodologies. His primary institutional affiliation remains implied through project leadership but is not explicitly stated in available documentation. Research interests span the full spectrum of Magnetic Resonance Imaging with particular emphasis on advanced image reconstruction techniques and quantitative biomarker development . His work bridges engineering innovation with clinical applications in neurological disorders including multiple sclerosis, Parkinson's disease, and Huntington's disease, while also exploring novel frontiers like the neurocutaneous axis in inflammatory skin conditions. The research fingerprint reveals strong concentration in Myelin Imaging (49%), In Vivo Neuroscience (32%), and Parkinson's Disease research (31%). Recent publications demonstrate consistent output in high-impact journals including Magnetic Resonance in Medicine and Neuropsychopharmacology , with emerging focus on ultra-low-field MRI applications and multi-modal biomarker validation. Key trends include methodological innovation in silent scanning protocols, pediatric coil development, and translation of quantitative techniques to clinical monitoring. Current funding portfolio includes five major projects totaling approximately £2.5M, with leadership roles in EPSRC and CHDI Foundation grants. Collaborative networks span 11 similar research profiles with strong connections to multiple sclerosis research, neurodegenerative disorders, and advanced imaging physics communities. Lab resources include access to high-field MRI systems, specialized computational infrastructure, and clinical validation partnerships. Supervision approach emphasizes interdisciplinary training with strong publication expectations and industry-academic career pathways.

Jeffrey Hettingerمشاهده پروفایل

استاد

• Materials Science
• Thin Film Synthesis
• Materials Characterization
• +۷ مورد دیگر

Jeffrey Hettinger serves as Professor in the Department of Physics & Astronomy within Rowan University's College of Science & Mathematics, where he leads research at the intersection of materials science and biomedical engineering. His academic foundation includes: BA in Physics from Mansfield University MA and PhD in Physics from Boston University Postdoctoral training at Argonne National Laboratory's Materials Science Division Hettinger's research program centers on functional materials development through precise microstructural control. Current projects investigate bactericidal silver-eluting coatings that prevent medical implant infections, carbide-derived carbon with tailored pore structures for high-efficiency energy storage, and neuro-stimulation electrode interfaces that optimize charge transfer between electronic and biological systems. His methodology integrates advanced thin film synthesis with comprehensive multi-modal characterization to establish structure-property relationships. As an active member of the Materials Research Society, American Physical Society, and Society of Vacuum Coaters, Hettinger maintains strong professional connections. While specific grant details aren't provided, his 2014 publications indicate sustained research activity with multi-institutional collaborations. Prospective students would engage with sophisticated materials processing and characterization equipment across biomedical and energy applications. His laboratory operations emphasize experimental rigor using techniques spanning sputtering deposition, electron microscopy, and transport property measurements to address challenges in medical device coatings, energy storage materials, and neural interface technologies.

Erhan Gençمشاهده پروفایل

استاد

• Neuroscience
• Differential Psychology
• Cognitive Functions
• +۵ مورد دیگر

Prof. Dr. Erhan Genç serves as a University Professor (W2) for 'Neuroscientific Foundations of Differential Psychology' at TU Dortmund University since 2023, operating under the Jülich model for research activities at IfADo (Leibniz Research Centre for Working Environment and Human Factors). He leads the 'Neuroimaging and Interindividual Differences' research group at the Institute for Occupational Safety and Health of the German Social Accident Insurance in Dortmund, Germany. His primary research focuses on: Neural basis of interindividual differences in cognitive functions and personality Application of multimodal neuroimaging methods (7T, 3T EEG/fMRI, TMS/fMRI, DWI, neurogenetics) Genç's research program investigates how variations in brain structure and function correlate with differences in cognitive abilities and personality traits. His work employs advanced neuroimaging techniques to uncover neural mechanisms underlying human intelligence and cognitive control processes, with particular emphasis on structural and functional brain connectivity. His publication record demonstrates consistent contributions to understanding the relationship between brain microstructure (particularly white matter organization and neurite architecture), brain network properties, and cognitive abilities. His recent work has established important links between polygenic scores, brain network efficiency, and intelligence measures. Methodologically, his expertise spans diffusion MRI for assessing microstructural properties of brain tissue, functional MRI for investigating brain connectivity patterns, and multimodal integration of different neuroimaging techniques to provide comprehensive insights into brain-behavior relationships.