جست‌وجوی استاد و پژوهشگر

Mohammad Abbas Yaseenمشاهده پروفایل

استادیار

• Biomedical Imaging
• Neurodegenerative Diseases
• Optical Microscopy
• +۳ مورد دیگر

Mohammad Abbas Yaseen is an Assistant Professor of Bioengineering at Northeastern University, affiliated with the Optical Microscopy & Neuro-Imaging (OMNI) Lab. He holds a PhD from Rice University (2008) and a BS from Johns Hopkins University (2002). His research focuses on advanced optical microscopy techniques to study brain function in rodent models of human diseases, particularly neurodegenerative disorders and stroke. Education: PhD in Bioengineering, Rice University, 2008 BS in Biomedical and Electrical Engineering, Johns Hopkins University, 2002 Research highlights: Develops high-resolution optical tools to assess metabolic and immune changes in the brain. Investigates neurovascular and neuroimmune alterations in Alzheimer’s disease and stroke using multiphoton microscopy. Lab projects include cerebral oxygenation monitoring and biomarker identification for neurodegenerative diseases. Publications span topics like cerebral blood flow dynamics, neuroinflammation, and optical imaging techniques. His lab actively mentors undergraduate and graduate students in Northeastern’s College of Engineering. The OMNI Lab collaborates with institutions like the Martinos Center for Biomedical Imaging and maintains NIH-funded research programs.

Oksana Bondarمشاهده پروفایل

پژوهشگر ارشد

• Analytical Chemistry
• Nuclear Magnetic Resonance (NMR)
• Hyperpolarization Techniques
• +۳ مورد دیگر

Oksana Bondar is a Research Fellow at the University of Southampton, focusing on advanced analytical chemistry and nuclear magnetic resonance (NMR) techniques. Her work integrates hyperpolarization methods, particularly the SABRE (Signal Amplification by Reversible Exchange) process, to enhance sensitivity in chemical and biomedical analyses. Research interests include hyperpolarized pyruvate applications, zero-field NMR detection, and the development of innovative spectroscopic tools for studying enzymatic reactions and organic compounds. Her studies often bridge chemistry and physics, with implications for biomedical imaging and materials science. Recent Work Trends : Bondar’s publications emphasize SABRE hyperpolarization in diverse systems (e.g., acetone/water mixtures, pyridine derivatives) and its utility in low-field environments, expanding the accessibility of high-resolution spectroscopic methods. Her collaborative projects highlight interdisciplinary approaches to analytical challenges. No scientific awards are listed in her profile. She currently holds no listed supervision roles, but her research aligns with opportunities for doctoral training in hyperpolarization and NMR innovation.

• Neural Mechanisms of Perception
• Object Recognition
• Multimodal Neuroimaging
• +۳ مورد دیگر

Nikos K. Logothetis is Emeritus Director at the Max Planck Institute for Biological Cybernetics where he led the Department of Physiology of Cognitive Processes. His research investigates neural mechanisms of perception and object recognition using multimodal approaches that integrate single-unit recordings, mass action potentials, and activity-related surrogate signals. Holding a PhD in Human Neurobiology from Ludwig-Maximilians University, Logothetis has held positions at MIT, Baylor College of Medicine, and multiple honorary professorships. His methodological innovations include developing high-field MRI systems for simultaneous imaging and intracortical recordings in primates. Key research areas: Neural basis of visual cognition Auditory perception and multisensory integration Plasticity and neuromodulation Neurovascular coupling mechanisms MR-detectable neural probes Honors include the Louis-Jeantet Prize, Zülch-Price, and membership in the German Academy of Sciences and US National Academy of Sciences. Current work focuses on synthesizing smart contrast agents for revolutionary neuroimaging techniques with improved spatiotemporal resolution.

Randy L. Bucknerمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +۷ مورد دیگر

Randy L. Buckner is the Sosland Family Professor of Psychology and Neuroscience at Harvard University, affiliated with the Center for Brain Science. He directs the Psychiatric Neuroimaging Research Division at Massachusetts General Hospital (MGH) and is faculty at the Martinos Center for Biomedical Imaging. He holds a BA and PhD from Washington University in St. Louis. His research focuses on large-scale brain networks underlying cognition, neuropsychiatric disorders, and aging. Key areas include neuroimaging techniques, genetic mechanisms of brain variation, and individualized brain phenotyping. Collaborations span institutions like the NIH Human Connectome Project and the Harvard Aging Brain Study. His work bridges basic neuroscience with clinical translation, emphasizing personalized medicine. Research Themes: Architecture of Human Brain Networks Dysfunction in Neurodegeneration and Neuropsychiatric Illness Deep Phenotyping in the Individual Genetic Mechanisms of Individual Differences Evolutionary Mismatches in the Modern World Advances in his lab include high-resolution neuroimaging, digital phenotyping via smartphones, and the Brain Genomics Superstruct Project. Students and postdocs in his lab explore topics like Alzheimer’s, schizophrenia, and genetic risk factors. The Buckner Lab emphasizes interdisciplinary approaches, integrating imaging, computational methods, and behavioral data.

Anuj Sharmaمشاهده پروفایل

عضو هیئت علمی

• Magnetic Resonance Imaging (MRI)
• RF Pulse Design
• MRI-guided Interventions
• +۳ مورد دیگر

Anuj Sharma, PhD, is a Research Assistant Professor in the Department of Biomedical Engineering at Case Western Reserve University's Case School of Engineering and School of Medicine. His work focuses on advancing Magnetic Resonance Imaging (MRI) technologies, including pulse sequence design, RF pulse optimization, and MRI-guided interventions. He holds a PhD and MSc from Vanderbilt University and a BEng from Manipal University, India. Dr. Sharma has been recognized with prestigious awards such as the ISMRM Summa Cum Laude Merit Award (2013) and the ViewRay Visibly Better Award (2022). Education: PhD in Biomedical Engineering, Vanderbilt University MSc in Biomedical Engineering, Vanderbilt University BEng in Biomedical Engineering, Manipal University Research Interests: RF Pulse Design for High-Field MRI MRI-Guided Therapeutic Interventions B1+ Mapping and Correction Techniques AI-Driven MRI Workflow Optimization Motion Artifact Mitigation in Clinical Imaging Awards: Visibly Better Award 2022 Magna Cum Laude Merit Award (RF Pulse Design) 2015 ISMRM Summa Cum Laude Merit Awards (2013) Manipal University Distinguished Alumnus 2013 Professional Contributions: Full Member, International Society for Magnetic Resonance in Medicine (ISMRM) since 2011 Past President & Vice President, Biomedical Engineering Society of India (BMESI) Students’ Chapter (2006–2007) His research bridges cutting-edge MRI hardware innovation with clinical translation, emphasizing safety, accuracy, and accessibility in diagnostic and therapeutic imaging.

David Waldmanمشاهده پروفایل

استاد پژوهشی

• Polymer Science
• Optical Engineering
• Data Storage Technologies
• +۴ مورد دیگر

David Waldman is a Research Professor in the Department of Polymer Science and Engineering at the University of Massachusetts Amherst, where he also serves as Director of the Center for Ultrafast Microscopy and Imaging Research (CUMIRP). He holds a PhD in Polymer Science & Engineering from the same institution (1990). His research focuses on advanced materials science, particularly in holographic storage systems, photopolymer materials, and optical engineering. Key contributions include the development of high-density holographic data storage media, phase-encoded data recovery systems, and novel applications of nanotechnology in manufacturing. Waldman’s work integrates interdisciplinary approaches to solve challenges in data storage, medical imaging, and renewable energy systems. Education: PhD in Polymer Science & Engineering, University of Massachusetts Amherst (1990). Research interests span holographic data storage systems, photopolymer chemistry, and the application of holography in medical imaging (e.g., lymphatic system analysis). He has pioneered materials like CROP photopolymers for optical data storage exceeding 100 bits/μm². His recent work explores solar energy systems using volume holograms and nanoimprint lithography for precision manufacturing. Publications highlight advancements in holographic media design, biometric imaging systems, and security device technologies. Waldman collaborates with the Sylvio O. Conte National Center for Polymer Research, contributing to cutting-edge polymer science initiatives.

Alexander Eichlerمشاهده پروفایل

مدرس ارشد

• nanomechanical sensing
• spin physics
• quantum mechanics
• +۴ مورد دیگر

Dr. Alexander Eichler is a Senior Lecturer (Privatdozent) and Senior Scientist at ETH Zürich's Department of Physics. His research focuses on nanomechanical sensing, spin-mechanics coupling, and parametric phase logic devices. He holds a permanent position at ETH since 2019 and became a Privatdozent in 2022. Education: Doctoral studies at University of Basel (2006–2009) Teaching: Teaches Classical and Quantum Parametric Phenomena (Autumn 2025). His work explores cutting-edge topics like nuclear spin detection, parametric instability landscapes, and topological classification of nonlinear systems. Research highlights include developing membrane-based scanning force microscopy and creating Boltzmann machines using coupled parametric oscillators. Awards: KITE award for teaching innovation (2022) Swiss Physical Society ABB Award (2012) Marie-Curie IEF Fellowship (2010) Current projects involve nanoscale MRI, stochastic dynamics in coupled oscillators, and parametric phenomena in graphene resonators. His lab develops advanced microscopy techniques and quantum-classical hybrid systems.

Leslie Yingمشاهده پروفایل

استاد

• Medical Imaging
• Deep Learning
• Biomedical Engineering
• +۳ مورد دیگر

Leslie Ying is a Professor holding dual appointments in the Department of Biomedical Engineering and Department of Electrical Engineering at the School of Engineering and Applied Sciences, University at Buffalo . His research focuses on advancing medical imaging technologies through deep learning and hardware innovations, with particular expertise in MRI reconstruction, RF coil design, and federated learning applications in healthcare. Key research areas include: Accelerated MRI using deep learning frameworks RF coil array design for ultrahigh field imaging Medical imaging denoising and enhancement Federated learning for multi-modal healthcare data Single-molecule localization microscopy Recent work explores transformer-based models for MRI fingerprinting, plasmonic spectrometers for lab-on-chip systems, and self-supervised reconstruction techniques. His publications reflect a strong emphasis on bridging computational methods with hardware innovations to address clinical imaging challenges.

Zhibo Yangمشاهده پروفایل

دانشیار

• Analytical Chemistry
• Mass Spectrometry
• Single Cell Analysis
• +۵ مورد دیگر

Zhibo Yang is an Associate Professor at the University of Oklahoma's Department of Chemistry and Biochemistry. His research focuses on mass spectrometry innovations for bioanalysis, including single-cell analysis, mass spectrometry imaging (MSI), and metabolomics. Key areas include developing the Single-probe device for real-time intracellular sampling, MS-based proteomics, and studying anticancer drug dynamics in tumor spheroids. Education: B.S. (1997, University of Science & Technology of China), Ph.D. (2005, Wayne State University), postdocs at Pacific Northwest National Laboratory (2005–2008) and University of Colorado (2008–2012). Research Highlights: Pioneered single-probe MS techniques for live-cell analysis, achieved high-resolution MSI (~8.5 µm), and developed machine learning approaches for metabolomic data analysis. Collaborations span cancer drug resistance, astrochemistry, and clinical diagnostics. Awards: ASMS Research Award (2014), OCAST Health Grant (2014–2017), multiple NIH/NSF grants (e.g., NIH RO1, NSF MRI), and CZI funding (2023). Grants and Funding: Over $10M in external funding from NIH, NSF, DoD, and CZI. Internal grants include OU's Faculty Investment Program and Senior Faculty Summer Fellowship. Students: Advised numerous PhD students including Tra Nguyen, Yunpeng Lan, and Mei Sun, who have received awards like the Goldwater and Astronaut Scholarships. Labs/Teams: Leads a lab specialized in MSI, single-cell metabolomics, and instrumentation development. Collaborates with medical researchers on translational projects like ovarian cancer drug studies.

Stefan Posseمشاهده پروفایل

استاد

• Medical Imaging
• MRI Technology
• Neurology
• +۳ مورد دیگر

Stefan Posse is a Professor of Neurology (primary appointment) and holds a joint appointment in Physics and Astronomy at the University of New Mexico. He leads the Human MR Research Lab within the School of Medicine, focusing on advancing MRI methods for brain function and physiology. His work includes developing real-time fMRI, high-speed metabolic imaging, and presurgical mapping techniques for neurological disorders. He earned his DPhil in Physics from the University of Berne, Switzerland (1990). Research Interests: Posse’s lab specializes in MRI technology development, including real-time functional MRI (fMRI), proton echo-planar spectroscopic imaging (PEPSI), and biophysical studies of BOLD contrast. Key areas include neuro-oncological imaging, metabolic mapping of brain tumors, and applications in psychiatric and neurological disorders. His projects are NIH-funded and emphasize clinical translation. Publications: Recent work includes advancements in concurrent fMRI-MRSI, real-time resting-state fMRI in brain tumor patients, and high-frequency resting-state connectivity analysis. These studies highlight innovations in imaging sensitivity, temporal resolution, and clinical utility. Grants & Labs: Active NIH grants support his research on presurgical mapping and metabolic imaging. The lab collaborates on multi-modal approaches integrating fMRI, EEG, and MRSI for precision medicine. The Human MR Research Lab is located in the Biomedical Research Facility, UNM.

Jala Imadمشاهده پروفایل

مدرس ارشد

• Neuroscience
• Medical Imaging
• Auditory System
• +۳ مورد دیگر

Jala Imad serves as a Senior Lecturer in the Department of Surgical Sciences at the Faculty of Medicine, University of Oslo, with institutional affiliation at Akershus University Hospital in Nordbyhagen. Her research specializes in neuroscience and advanced medical imaging, focusing on three-dimensional brain mapping of auditory systems using structural and diffusion magnetic resonance imaging. She contributes to foundational neuroanatomical resources through detailed rat brain atlas development, bridging surgical sciences and computational neuroimaging. Her 2019 NeuroImage publication on the Waxholm Space atlas demonstrates expertise in creating high-resolution anatomical references for auditory research, utilizing multimodal MRI techniques to advance understanding of neural structures. No scientific awards were documented in the source materials. Details regarding student supervision, research funding, laboratory infrastructure, or collaborative teams were not provided in the available information.

Ronald L Walsworthمشاهده پروفایل

استاد

• Quantum Sensing
• Precision Measurement Tools
• Nuclear Magnetic Resonance (NMR)/MRI
• +۳ مورد دیگر

Ronald L Walsworth is a Professor of Physics and Electrical and Computer Engineering at the University of Maryland (UMD), holding the Minta Martin endowed professorship. He is the Founding Director of UMD's Quantum Technology Center (QTC), which focuses on advancing quantum science for translational applications and workforce education. His research develops precision measurement tools and quantum sensors applied to physical and life sciences, including quantum diamond magnetometry, NMR/MRI, and bioimaging. Education details are not explicitly stated in the provided texts. His work combines experimental and theoretical approaches, leveraging quantum defects in diamond and boron nitride for ultra-sensitive measurements. Notable contributions include quantum diamond microscopes, all-optical magnetometers, and applications in astrophysics, biomedical imaging, and dark matter detection. Recent research themes emphasize solid-state spin ensembles for high-resolution magnetic spectroscopy, machine learning for data analysis, and interdisciplinary collaborations. He advises graduate students like Andrew Beling (2025 Boron Nitride Workshop presenter) and has pioneered sensor systems with industrial and academic partners. Grants and collaborations include NASA-funded quantum sensing assessments and DOE initiatives. Labs/Teams: Director of Quantum Technology Center (QTC), leading teams in quantum microscopy, sensor development, and quantum workforce training programs at UMD.

Congyu Liaoمشاهده پروفایل

استادیار

• Magnetic Resonance Imaging
• MR Physics
• Quantitative MRI
• +۴ مورد دیگر

Congyu Liao, PhD, is an Assistant Professor in the Department of Radiology and Biomedical Imaging and Technical Director of the Neuroimaging Technology Research Center (NTRC) at the University of California, San Francisco (UCSF). He completed his PhD in Biomedical Engineering at Zhejiang University (2018) and postdoctoral training at the Martinos Center (MGH/Harvard) before joining UCSF in 2025. PhD, Biomedical Engineering – Zhejiang University (2018) BS, Control Technology and Instrument Science – China University of Geosciences (2013) Postdoctoral Research Fellow – Harvard Medical School (2021) Instructor – Stanford University (2025) Dr. Liao specializes in advanced diffusion and quantitative MRI techniques for neurodevelopment and neurological disorders. His work focuses on distortion-free imaging, high-resolution myelin-water fraction mapping, and AI-driven MRI reconstruction. He has pioneered methods like gSlider-BUDA for mesoscale diffusion MRI and Deli-CS for spatio-temporal reconstruction. Congyu’s 15 most recent publications span topics in MR fingerprinting, diffusion imaging, and deep learning applications in MRI. Key trends include ultra-high-resolution brain imaging at 7 Tesla, reduced cross-scanner variability with vendor-agnostic sequences, and real-time motion correction for distortion-free dMRI. 2022: Junior Fellow, ISMRM 2022: Summa Cum Laude Merit Award, ISMRM 2021–2018: Multiple Cum Laude/Magna Cum Laude Merit Awards, ISMRM 2015: Educational Stipend, ISMRM He leads NIH-funded research (R01HD114719) on infant brain development imaging and has mentored collaborations with institutions like Stanford, Harvard, and MGH. His lab integrates MR physics, computational methods, and clinical translation to address challenges in pediatric and neurodegenerative diseases.

• Image Processing
• Neuroscience
• Adaptive Smoothing Methods
• +۴ مورد دیگر

Dr. Karsten Tabelow is a researcher at the Weierstrass Institute for Applied Analysis and Stochastics in Berlin, Germany, affiliated with the group Stochastic Algorithms and Nonparametric Statistics . His work bridges mathematical statistics and biomedical imaging through advanced computational methods. PhD in physics (2001) and Diplom in physics (1997) from Freie Universität Berlin Key projects: Matheon grants F10 and A3 on biomedical imaging Current focus: adaptive smoothing , quantitative MRI , and nonparametric statistical modeling His research has produced foundational contributions in neuroimaging software , including R packages adimpro , dti , fmri , and qmri , as well as SPM toolboxes like ACID-Toolbox and aws4SPM . He extends these methods to inverse problems in magnetic resonance and electron microscopy. Collaborations span neuroscience (Charité), semiconductor physics (Leibniz Institute), and biomedical engineering (Max Planck Institute). Recent work includes physics-informed data assimilation for intracranial pressure estimation and mathematical research data infrastructure through the MaRDI initiative under Germany's NFDI. Publications emphasize open science principles using R/knitr workflows. Grants include Matheon projects and MaRDI development. Software contributions are distributed under GNU GPL within R and SPM ecosystems. Talks highlight applications in presurgical planning , in-vivo histology , and cross-disciplinary data management .

• Immunology
• Virology
• Molecular Biology
• +۷ مورد دیگر

Thomas Balligand is a researcher at the Namur Research Institute for Life Sciences, with significant contributions in immunology, virology, and nanobody engineering. His work spans both basic and translational research, focusing on novel therapeutic strategies against influenza viruses and cancer. He has strong collaborative ties with institutions such as Boston Children's Hospital and Harvard Medical School. Research Interests: Dr. Balligand's research is centered on the development of nanobody-based therapeutics. He investigates how engineered nanobodies—often derived from alpacas—can neutralize influenza viruses by targeting conserved regions like the hemagglutinin stem or immunoglobulin light chains. His work also extends to cancer immunotherapy, where he explores CAR NK cells armed with nanobodies targeting MICA+ tumors. Additionally, he contributes to structural studies of receptor mutants involved in oncogenesis, such as the thrombopoietin receptor. Publication Trends: Over the past decade, his research output has increasingly focused on engineered biologics for disease intervention. The most recent publications (2023–2025) highlight dual-function therapeutics, in vivo imaging tools, and structural insights into receptor activation. These works appear in high-impact journals such as Science Immunology , PNAS , and eLife , indicating strong scientific recognition. Scientific Awards: No specific awards are listed in the provided text. Advising and Grants: While no formal students are listed, his involvement in a doctoral thesis suggests mentorship activity. His research is likely supported by grants related to virology, immunology, and translational medicine, given the nature of his projects and institutional affiliations. Labs and Teams: Dr. Balligand is part of a collaborative network involving the Ploegh lab (known for nanobody and immune engineering) and works with teams specializing in molecular imaging, cancer immunotherapy, and structural biology. His use of congenic mouse models and PET imaging indicates access to advanced preclinical research infrastructure.