جستجوی استاد راهنمای دانشگاهی

Emanuele Truccoمشاهده پروفایل

استاد

• Computer Vision
• Medical Image Analysis
• Retinal Image Analysis
• +۷ مورد دیگر

Professor Emanuele (Manuel) Trucco is the NRP Chair of Computational Vision in the Department of Computing, School of Science and Engineering, at the University of Dundee. He holds additional roles as an Honorary Clinical Researcher at NHS Tayside and formerly served as an Adjunct Professor at the Chinese Academy of Sciences from 2018 to 2021. He earned his MSc and PhD in Electronic Engineering from the University of Genoa, Italy, in 1984 and 1990, respectively. His research focuses on medical image and data analysis, particularly in retinal imaging, using machine and deep learning techniques. He is co-director of VAMPIRE, a major international initiative in retinal image analysis, which supports biomarker studies in cardiovascular disease, diabetes, dementia, and neurodegenerative disorders. His recent work includes AI-driven tools for predicting dementia from brain scans and cardiovascular risk from retinal images. The latest publications reflect strong trends in applying deep learning to retinal and brain imaging for early disease detection, with themes centered on AI in healthcare, precision medicine, and non-invasive diagnostics. FRSA (Fellow of the Royal Society of Arts) FIAPR (Fellow of the International Association for Pattern Recognition) Professor Trucco has led and co-led significant research projects funded by EPSRC, NIHR, and EU programs. He has supervised PhD students through industry-sponsored studentships (e.g., OPTOS, NIDEK, Toshiba) and collaborated with institutions such as the Universities of Edinburgh and Liverpool. His research is supported by extensive industrial partnerships including Canon Medical, Epipole plc, and NIDEK. He is a key member of the UK Biobank Eye and Vision Consortium and co-director of the VAMPIRE initiative, a collaborative effort between the Universities of Dundee and Edinburgh focused on retinal image analysis. His work also involves participation in major research networks such as the Academic Health Science Partnership in Tayside.

• Psychiatry
• Mental Health
• Bipolar Disorder
• +۷ مورد دیگر

Gülçin Elboga is an Associate Professor at Gaziantep University Faculty of Medicine, Department of Psychiatry. She has been serving in this position since 2019, following her tenure as a Doctor Lecturer from 2017-2019 at the same institution. Her academic career is deeply rooted in the Department of Psychiatry within the Faculty of Medicine at Gaziantep University. Her educational background includes Medical Specialization (2010-2015) and a Medical License (2004-2009), both completed at Gaziantep University Faculty of Medicine. This strong foundation in medical education has supported her specialized focus in psychiatry. Dr. Elboga's research interests span across multiple critical areas in mental health, with particular emphasis on bipolar disorder, depression, schizophrenia, and anxiety disorders. Her work frequently explores the biological underpinnings of psychiatric conditions, including neuroimaging studies, biomarker research, and neuroendocrine aspects of mental illnesses. She has made significant contributions to understanding the application of cognitive behavioral therapy, electroconvulsive therapy, and novel pharmacological approaches in psychiatric treatment. Her publication record demonstrates consistent productivity with a focus on clinically relevant research. Recent work shows increasing attention to pandemic-related mental health issues, neuroimaging correlates of psychiatric disorders, and the biological mechanisms underlying mood disorders. Her research often involves collaborations with colleagues across multiple institutions, reflecting an interdisciplinary approach to psychiatric research. Dr. Elboga has authored numerous scientific publications including 90 articles and 7 book chapters, with a strong presence in both national and international psychiatric literature. Her work appears in reputable journals across various psychiatric subfields, demonstrating breadth and depth in her scholarly contributions. She has been actively involved in research related to the psychological impact of the COVID-19 pandemic on healthcare workers, circadian rhythm disturbances in psychiatric disorders, and innovative treatment approaches for treatment-resistant depression. Her work bridges clinical practice with scientific investigation, contributing valuable insights to the field of psychiatry.

• Ocular Genetics
• Gene Therapy
• Children's Vision Screening
• +۷ مورد دیگر

Alex V. Levin, M.D., M.H.Sc., serves as Professor in the Department of Ophthalmology at the University of Rochester School of Medicine and Dentistry, holding the Adeline Lutz - Steven S.T. Ching, M.D. Distinguished Professorship. He concurrently holds joint appointments in the Center for Visual Science and the Department of Pediatrics, Genetics. As Chief of the Flaum Eye Institute's Pediatric Ophthalmology and Ocular Genetics team and Chief of Clinical Genetics at URMC, he leads cross-functional teams comprising ophthalmologists, optometrists, pediatric specialists, geneticists, nurses, and genetic counselors. Medical Degree: Jefferson Medical College Residency: Pediatrics at Children's Hospital of Philadelphia Residency: Ophthalmology at Wills Eye Hospital Fellowship: Pediatric Ophthalmology and Strabismus at Toronto's Hospital for Sick Children Masters of Health Science in Bioethics: University of Toronto (2001) Dr. Levin's research spans ocular genetics and gene therapy, children's vision screening, pediatric glaucoma/cataract/uveitis, ocular manifestations of child abuse, and bioethics. His work integrates clinical expertise in pediatric anterior segment eye conditions with scientific investigation into genetic eye diseases. He maintains the only simultaneous US Board Certifications in pediatrics, ophthalmology, and child abuse pediatrics worldwide. Analysis of his 15 most recent publications reveals predominant focus on genetic eye disorders (73%), with significant emphasis on retinal hemorrhage patterns in trauma (13%) and pediatric glaucoma (7%). His research demonstrates consistent translational application from basic science to clinical practice, particularly in ocular genetics and abusive head trauma diagnostics. Resident Guardian Award (2022) Edward A. Jaeger and John B. Jeffers Citizenship Award (2020) Albert Marquis Lifetime Achievement Award (2018) Al Biglan Medal in Pediatric Ophthalmology (2014) Ray E. Helfer Society Award for Child Abuse Research (2011) With over 35 years of experience and hundreds of peer-reviewed publications, Dr. Levin has secured funding from the National Institutes of Health, Canadian Institute of Health, and private foundations. His research portfolio demonstrates exceptional continuity in pediatric ophthalmology and ocular genetics, with recent emphasis on deep learning applications for retinal hemorrhage analysis and international registry development for childhood glaucoma. He has established comprehensive vision screening programs for underserved urban populations and pioneered ethical frameworks for genetic testing in pediatric ophthalmology. Dr. Levin directs the Ocular Genetics Program at URMC, which provides multidisciplinary care through the Pediatric Ophthalmology and Ocular Genetics team. His laboratory investigations focus on nascent chromatin structure in fibrosis and protein modeling for inherited retinal diseases, with active collaborations across the Montalcino Aortic Consortium and Sturge-Weber Foundation research networks.

Ahmad Haririمشاهده پروفایل

استاد

• Psychology
• Neuroscience
• Molecular Genetics
• +۳ مورد دیگر

Professor Ahmad Hariri is a faculty member in the Department of Psychology & Neuroscience at Duke University, part of the Trinity College of Arts & Sciences. He holds affiliations with the Duke-UNC Brain Imaging and Analysis Center, the Duke Institute for Brain Sciences, and the Duke Initiative for Science & Society. His research integrates neuroimaging, pharmacology, and molecular genetics to study biological pathways underlying individual differences in behavior and psychopathology risk. Education: Ph.D. in Psychology from UCLA (2000), M.S. and B.S. in Psychology from the University of Maryland, College Park (1997, 1994). Research interests include understanding how genetic and environmental factors influence brain function and behavior, with a focus on psychopathology, stress, and resilience. His work explores neural correlates of traits like psychopathy, childhood adversity effects on brain structure, and biomarkers of aging. Recent studies highlight links between lead exposure and neurodegeneration, neighborhood disadvantage and dementia risk, and the role of brain connectivity in self-regulation. Key achievements include over 200 publications, including high-impact papers in Nature Aging , Neuron , and Biological Psychiatry . Honors include the APA Distinguished Scientific Award for Early Career Contribution (2009) and being named a Highly Cited Researcher (2014). Grants include leadership roles in the Duke-NCCU Postdoctoral Training Program in Child Psychiatric Conditions and the Duke Psychiatry Physician-Scientist Residency Program. He has contributed to editorial boards of journals like Cortex and Biology of Mood and Anxiety Disorders . Professional activities include mentoring in the Summer Neuroscience Program and serving as a Bass Connections Faculty Team Leader.

Bjoern Bauerمشاهده پروفایل

استاد

• Neuroscience
• Alzheimer’s Disease
• Blood-Brain Barrier Physiology
• +۳ مورد دیگر

Bjoern Bauer, PhD is a Professor in the Department of Pharmaceutical Sciences at the University of Kentucky, affiliated with the Sanders-Brown Center on Aging. His research focuses on blood-brain barrier (BBB) biology, Alzheimer’s disease mechanisms, and drug delivery strategies for neurological disorders. Bauer’s work explores how BBB dysfunction contributes to neurodegenerative diseases and cancer, with particular attention to efflux transporters like P-glycoprotein (ABCB1) and their roles in drug resistance and amyloid beta pathology. Key research areas include: 1) BBB leakage and its role in Alzheimer’s disease progression, 2) development of therapeutic strategies to modulate BBB transporters, 3) preclinical models of glioblastoma and neurodegeneration, and 4) biomarker discovery for early disease detection. His lab utilizes advanced in vitro BBB models, transgenic mouse models (e.g., 5xFAD), and imaging techniques to study these processes. Bauer’s contributions span over 40 peer-reviewed publications since 2001, with recent work emphasizing oxidative stress mechanisms, tumor drug resistance, and translational approaches to BBB targeting. Current efforts include investigating S100β as a plasma biomarker and exploring proteasome inhibition as a therapeutic avenue for restoring BBB integrity. He leads the Bauer-Hartz Lab, collaborating extensively with neurologists, oncologists, and pharmacologists to advance CNS drug delivery technologies. He holds a PhD in Pharmacology and has been a faculty member at the University of Kentucky since joining Sanders-Brown in [year not explicitly stated]. His research is supported by grants focusing on BBB biology, Alzheimer’s disease, and cancer pharmacology.

Emmanuel Hoمشاهده پروفایل

استاد

• Nanomedicine
• Vaccine Delivery
• Drug Delivery Systems
• +۳ مورد دیگر

Emmanuel Ho is a Professor at the University of Waterloo and serves as the Associate Director of Graduate Studies & Research. His research focuses on nanomedicine and vaccine delivery, with expertise in drug delivery systems, polymer chemistry, and biomaterials. He leads the Ho Research Group, dedicated to developing innovative biomedical technologies for healthcare challenges. His work integrates materials science, pharmacology, and engineering to address issues in infectious diseases, ocular health, and drug delivery mechanisms. Key research areas include the design of smart polymers for targeted drug delivery, development of biosensors for rapid pathogen detection, and the application of nanotechnology in combating antimicrobial resistance. His projects often involve interdisciplinary collaborations, such as combining machine learning with nanoparticle formulation design to optimize therapeutic efficacy. Recent advancements from his lab include microwave biosensors for E. coli detection, bacteria-responsive drug release platforms, and pH-sensitive nanomicrobicides for HIV prevention. These innovations highlight his commitment to translating cutting-edge science into practical medical solutions. The Ho Research Group’s work has been widely published in top-tier journals, reflecting its impact on both academic and clinical fields.

• Visual Perception
• Cognitive Psychology
• Developmental Science
• +۶ مورد دیگر

Prof. Anna Franklin is a Professor of Visual Perception and Cognition at the University of Sussex's School of Psychology. She leads the Sussex Colour Group and Sussex Baby Lab , focusing on human color perception, development, and neural representation. Her research combines cognitive psychology, developmental science, and neuroscience to explore how color perception develops, influences aesthetics, and relates to conditions like autism. Key projects include ERC-funded initiatives studying environmental impact on color perception and developing the ColourSpot diagnostic app for childhood color vision deficiency. She also serves as Deputy Director of Research and Knowledge Exchange for the School of Psychology. Education includes a BA from the University of Nottingham and a PhD from the University of Surrey, followed by a postdoctoral fellowship. Her work spans 107+ publications, emphasizing interdisciplinary methods like hyperspectral imaging and fMRI. Collaborations include industry partnerships with ETTA LOVES and COSATTO to apply infant visual preference research in product design. Research grants include European Research Council awards (Starting Grant 2012-2017, Consolidator Grant 2018-2025) and a Proof of Concept grant for ColourSpot . Her labs investigate cross-cultural color categorization, infant aesthetics, and neural correlates of color processing. Future work focuses on calibrating visual systems to environmental statistics and improving early childhood color vision screening.

• Data mining and knowledge discovery
• Data engineering and data science
• Data quality
• +۱۷ مورد دیگر

Prof. Ping Yu is a Professor at the University of Wollongong's School of Computing and Information Technology, where she has held leadership roles such as Director of the Centre for Digital Transformation (2013–2020). Her work focuses on digital health, health informatics, and data-driven solutions for aged care, with collaborations involving the World Health Organization (WHO), NSW Health, and over 11 aged care providers. She has pioneered projects like the WHO’s eSTEPS platform and AI-driven analytics to optimize healthcare resources. Her research integrates socio-technical perspectives to address challenges in technology adoption and healthcare system improvements. Her research interests span data engineering, data quality, ontology development, and generative AI applications in healthcare. Key areas include extracting insights from unstructured health records, improving clinical decision-making, and enhancing patient outcomes through mHealth and telemedicine innovations. She also explores the impact of green spaces on healthy aging and disparities in healthcare access across regions. Prof. Yu has secured over $4.5 million in research funding, including significant grants from the Australian Research Council. She has mentored 29 postgraduate students to completion, emphasizing interdisciplinary research and practical implementation. Her awards include the prestigious 2022 Telstra Brilliant Women in Digital Health Award and the 2008 Don Walker Award for contributions to health informatics. Her advising and grants narrative highlights her role as a mentor and her success in securing competitive funding. Her work bridges academia and industry, with projects like improving pressure injury risk management in aged care using EHRs and analyzing agitation in dementia through AI. She contributes to education policy, including co-designing academic leadership programs and enhancing clinical informatics curricula in the AI era. Prof. Yu leads multi-disciplinary teams at UOW and collaborates with global institutions, focusing on labs and initiatives like the Appendicectomy Surgical Pathway Ontology (ASPO) and the 6A framework for hypertension management via mHealth. Her research emphasizes real-world impact, from reducing hospital readmissions to optimizing surgical workflows and improving public health communication strategies during crises.

• Neuroimmunology
• Neurodegenerative diseases
• Central nervous system immune responses
• +۷ مورد دیگر

Dr. Le Zhang is an Assistant Professor of Neurology and of Neuroscience at Yale University School of Medicine. She holds primary appointment in the Department of Neurology and secondary appointment in the Department of Neuroscience, with affiliations across multiple research centers including the Center for Brain & Mind Health, Hafler Lab, Interdepartmental Neuroscience Program, WHRY Pilot Project Program Investigators, Women's Health Research at Yale, Wu Tsai Institute, and Yale Combined Program in the Biological and Biomedical Sciences (BBS). Dr. Zhang received her educational training through: B.S. in Biological Science from Peking University (2004) Ph.D. in Molecular Biology and Biochemistry from the University of Hong Kong (2010) Postdoctoral Fellow at University of Pennsylvania School of Medicine (2011) Research Fellow at Harvard Medical School (2016) Dr. Zhang's research program focuses on immune responses of the central nervous system in neurodegenerative diseases. Her work integrates cutting-edge single cell technologies, human research and mouse genetics to elucidate the body-to-brain immune axis in both health and disease. She has made significant contributions to understanding neuroinflammation in Parkinson's disease, Alzheimer's disease, HIV-associated neurocognitive disorder, and Multiple sclerosis. Her laboratory employs advanced techniques including single-cell transcriptomics, proteomics, and computational approaches to unravel complex immune mechanisms in neurological disorders. An analysis of Dr. Zhang's recent publications (2022-2025) reveals a strong focus on neuroimmunology and single-cell analysis of neurological disorders. Her work spans Parkinson's disease, Alzheimer's disease, multiple sclerosis, and HIV-associated neurocognitive disorders, with particular emphasis on how immune cells interact with the central nervous system. The research employs cutting-edge single-cell technologies to create detailed cellular atlases of diseased brains, revealing novel immune mechanisms and potential therapeutic targets. Dr. Zhang has received several prestigious awards recognizing her research contributions: NIH Blueprint for Neuroscience Interoception Research Initiative Early-Stage Investigator Award (2023) NIH NIDA's Avenir Award (DP2) (2022) Yale Alzheimer's Disease Research Center (ADRC) Research Scholar Award (2021) Kavli Institute for Neuroscience Innovative Research Award (2019) Dr. Zhang serves as Principal Investigator of the Zhang Lab, which focuses on understanding the immune network of the central nervous system. Her laboratory is actively recruiting highly motivated scientists to work on neuroimmunology and technology development. She has been involved in significant research initiatives including the SCORCH consortium for studying single-cell opioid responses in the context of HIV. Dr. Zhang previously served on the Yale School of Medicine Faculty Advisory Council from 2018-2023. Dr. Zhang's work has important implications for developing new therapeutic approaches for neurodegenerative diseases by targeting the immune system. Her research on the gut-brain axis and body-to-brain immune communication represents a paradigm shift in understanding how peripheral immune responses influence neurological health and disease.

• Developmental Neurobiology
• RNA Modification
• Post-transcriptional Regulation
• +۴ مورد دیگر

Dr. Sheng-Jian Ji is a Tenured Associate Professor at the School of Life Sciences, Department of Neuroscience at Southern University of Science and Technology (SUSTech) in Shenzhen, China. He also serves as the Academic Vice President of Shude Academy and was previously the first Deputy Director of Research and Graduate Affairs in the Department of Biology at SUSTech (2016-2018). As a leading neuroscientist specializing in RNA modification and neural development, Dr. Ji has established an internationally recognized research program. Dr. Ji's educational background includes: 2003-2007: Postdoctoral Fellow, Johns Hopkins University School of Medicine, Neurobiology 1998-2003: PhD in Biochemistry and Molecular Biology, Peking University School of Life Sciences 1994-1998: Bachelor's Degree in Biochemistry, Yantai University Department of Biochemistry Dr. Ji's research primarily focuses on developmental neurobiology, with particular emphasis on post-transcriptional regulation mechanisms including RNA modification and local translation of mRNA in axons. His laboratory is recognized as one of the leading international groups studying how mRNA modification (particularly m6A and m5C) regulates neural development and function. Through innovative approaches combining molecular biology, cell biology, and microfluidic technologies, his team has revealed important insights into axon growth, dendrite maintenance, cortical neurogenesis, and retinal development. His publication record shows a clear trajectory from fundamental mechanisms of RNA modification to applications in understanding neurological disorders and aging. Recent work has expanded into aging-related neural decline, cognitive functions, and potential therapeutic targets for neurological conditions. Dr. Ji has received numerous prestigious awards: 2020, 2016: SUSTech Excellent College Mentor 2020: SUSTech Biology Department Outstanding Service Award 2019: Guangdong Province Talent Youyue Card A 2017: Guangdong Provincial Professor of Neurobiology 2013: Jiangsu Distinguished Professor (Nanjing University) 2011: National Natural Science Award Second Prize (third contributor) As an educator, Dr. Ji teaches undergraduate Neurobiology and graduate Cellular and Molecular Neurobiology courses. He actively mentors students, with recent master's graduates including Yuan Jiaxin and Zhang Pingrui. His laboratory recruits postdoctoral fellows (with salaries of 335,000+ RMB annually), research assistants, and graduate students, providing comprehensive training in molecular techniques, neuronal cell culture, microfluidics, and omics approaches. Dr. Ji leads a vibrant research team that collaborates both within SUSTech and internationally. His work continues to advance understanding of RNA modification in neural development, function, and aging, with recent progress highlighted in June 2025.

William Newmanمشاهده پروفایل

استاد

• Geophysics
• Planetary Science
• Astrophysics
• +۵ مورد دیگر

William Newman is a Professor in the Department of Earth, Planetary, and Space Sciences at the University of California, Los Angeles (UCLA), currently on sabbatical at the Institute for Advanced Study in Princeton. His primary academic home resides within UCLA's geoscience and planetary science division. His educational credentials include: B.Sc. (Hon.) in Physics from the University of Alberta, Canada (1971) M.Sc. in Physics from the University of Alberta, Canada (1972) M.S. in Astronomy and Space Science from Cornell University (1975) Ph.D. in Astronomy and Space Science from Cornell University (1979) Professor Newman applies theoretical physics and applied mathematics to solve critical real-world problems across multiple disciplines. His research spans statistical techniques for climate change assessment, earthquake hazard modeling, solar system evolution (including collision risks from trans-Jovian bodies), astrophysical jet dynamics, and pattern emergence in complex systems. This interdisciplinary work bridges geophysics, planetary science, and astrophysics through rigorous mathematical frameworks. His publication record (2024-2016) reveals three dominant research thrusts: (1) Semiconductor electron emission physics (GaAs nanotips, photoemission sources), (2) Solar system dynamics and celestial mechanics (N-body simulations, impact hazards), and (3) Complex systems analysis (earthquake patterns, statistical record-breaking events). These intersect physics, earth sciences, and computational mathematics through shared methodologies in statistical modeling and nonlinear dynamics. At UCLA, Newman developed innovative courses including a natural disasters undergraduate GE course (satisfying diversity requirements) and graduate-level planetary atmospheres and continuum mechanics curricula. His academic contributions include over 100 refereed papers and graduate textbooks published by Princeton and Cambridge University Presses, focusing on mathematical methods for geophysics and space physics.

• Artificial Intelligence
• Machine Learning
• Data Mining
• +۵ مورد دیگر

Ling Zhao is a distinguished Professor at the School of Management, Huazhong University of Science and Technology, China, with extensive research contributions spanning artificial intelligence, machine learning, information systems, and biomedical applications. With over 150 publications since 2008, Dr. Zhao has established herself as a leading researcher in multiple interdisciplinary domains, particularly in applying computational methods to solve complex real-world problems. Dr. Zhao's research interests encompass a broad spectrum of cutting-edge topics including artificial intelligence, machine learning, data mining, control systems, and information systems. Her work demonstrates exceptional versatility, bridging theoretical computer science with practical applications in healthcare, transportation, cybersecurity, and business management. Notably, she has made significant contributions to sentiment analysis, medical image processing, algorithmic management, and privacy-preserving data analysis. Her research methodology often combines deep learning approaches with domain-specific knowledge to develop innovative solutions. Analysis of Dr. Zhao's recent publications (2023-2025) reveals a strong focus on interdisciplinary applications of AI, with particular emphasis on healthcare informatics (medical image analysis, disease diagnosis), human-computer interaction (algorithmic management effects), and advanced machine learning techniques (graph neural networks, multimodal learning). Her work shows a consistent trend toward increasingly complex and integrated systems that address real-world challenges across multiple domains. Dr. Zhao has made substantial contributions to academic advising and research mentorship, though specific student names aren't detailed in the available publications. Her research has been supported by various grants enabling work in AI applications, biomedical engineering, and information systems. Dr. Zhao maintains active collaborations with researchers across China and internationally, as evidenced by her co-authorship patterns. While specific laboratory information isn't explicitly mentioned in the publication records, Dr. Zhao appears to lead or be significantly involved in research groups focusing on AI applications in management and healthcare. Her work on medical imaging, sentiment analysis, and control systems suggests involvement in multiple specialized research teams addressing different application domains through computational approaches.

Julijana Gjorgjievaمشاهده پروفایل

استاد

• Computational Neuroscience
• Theoretical Neuroscience
• Neural Circuit Development
• +۴ مورد دیگر

Prof. Julijana Gjorgjieva is a tenured W3 Professor of Computational Neuroscience at the School of Life Sciences Weihenstephan, Technical University of Munich (TUM). She leads an independent research group at the Max Planck Institute for Brain Research and is affiliated with the Bernstein Center for Computational Neuroscience. Her research focuses on the principles governing neural circuit development, balancing learning plasticity with functional stability through computational and theoretical approaches. Key interests include synaptic organization, energy-efficient neural computation, and evolutionary optimality principles. Education & Career: B.Sc. Mathematics, Harvey Mudd College (2006) M.A.St. in Applied Mathematics, University of Cambridge (2007) Ph.D. Applied Mathematics, University of Cambridge (2011) Postdoctoral Fellowships: Harvard University (2011-2014), Brandeis University (2014-2016) Max Planck Research Group Leader (2016-2022) W2/W3 Professor at TUM since 2016 Research Interests: Computational neuroscience, theoretical modeling of neural circuits, synaptic plasticity mechanisms, homeostatic regulation, and the interplay of development and evolution in shaping brain architecture. She employs mathematical frameworks to study how circuits achieve robustness while enabling adaptive learning. Awards: Heinz Maier-Leibnitz Prize (2022) Eric Kandel Young Neuroscientist Prize (2021) ERC Starting Grant (2018) Multiple postdoctoral and early-career fellowships Grants & Funding: Includes DFG Collaborative Research Center on Neural Homeostasis, HFSP grants, and EU Horizon 2020 initiatives. Active in mentoring and promoting computational neuroscience through programs like Neuromatch Academy. Labs & Collaborations: Leads a multidisciplinary lab integrating experimental and theoretical approaches. Collaborates with institutions such as the Max Planck Society and international computational neuroscience networks.

Nathalia Peixotoمشاهده پروفایل

دانشیار

• Neural Engineering
• Brain-Computer Interfaces
• Biomedical Sensors and Actuators
• +۴ مورد دیگر

Nathalia Peixoto is an Associate Professor in the Department of Electrical and Computer Engineering and Affiliate Faculty in Bioengineering at George Mason University. Her work bridges neural engineering, biomedical applications, and assistive technology development with international collaborations across Israel, Ireland, Peru, and Korea. Educational background: PhD in Electrical Engineering, Universidade de Sao Paulo MS, University of Campinas Research Interests: Dr. Peixoto specializes in neural engineering with focus on brain-computer interfaces using wearable devices. Her lab develops: Neural prosthetics and implantable systems Bioimpedance-based medical sensors Low-cost electrophysiological recording platforms Community-centered engineering design solutions Publication Trends: Her 2022-2025 publications demonstrate strong interdisciplinary convergence between neuroscience, biomedical engineering, and AI. Key trends include machine learning for seizure detection in zebrafish models, electrochemical optimization of neural interfaces, and community-engaged design projects addressing societal challenges through transdisciplinary graduate training. Grants and Projects: Principal investigator for multiple NSF-funded initiatives: NRT-HDR: Transdisciplinary Graduate Training (2019-2024) Smart and Connected Communities: Networked Devices (2017-2019) Bioimpedance for retinal implants (2015-2017) C2MW: Classroom to Makers Week (2015-2016) Additional funding from VA STEM CoNNECT and Longwood University. Laboratory: The Neural Engineering Lab integrates chemistry, physics, and engineering disciplines through team-based projects involving high school to graduate students. Current work includes sustainable food-waste solutions, tremor-capturing robots for low-resource areas, and neural implants with international academic partnerships.

Thomas Longdenمشاهده پروفایل

دانشیار

• Brain blood flow
• Neurovascular coupling
• Functional hyperemia
• +۱۲ مورد دیگر

Thomas Longden is an Associate Professor in the Department of Physiology at the University of Maryland School of Medicine. He leads a research group focused on neurovascular interactions in health and disease, with particular emphasis on understanding how blood flows through the brain under normal conditions and how this process is disrupted in diseases like Alzheimer's. Dr. Longden received his B.Sc (Hons) and Ph.D. in Pharmacology from the University of Manchester in the UK (2006 and 2010), followed by postdoctoral training at the University of Vermont under Professor Mark Nelson (2011-2015). He was promoted to Assistant Professor at Vermont in 2015 before joining the University of Maryland in February 2019. His research focuses on the control of blood flow in the brain, particularly the mechanisms of neurovascular coupling where neuronal activity triggers changes in blood flow. His lab has made significant discoveries including identifying the brain's capillary network as a 'sensory web' that translates neural activity into vasodilatory electrical signals, and demonstrating how pericytes function as metabolic sentinels that control blood flow through KATP channel-dependent mechanisms. Analysis of Dr. Longden's recent publications reveals a strong focus on pericyte function in neurovascular coupling, electrical signaling in the capillary network, and how these mechanisms are disrupted in Alzheimer's disease and other dementias. His work increasingly incorporates advanced imaging techniques, computational approaches, and innovative tools to study vascular plasticity. 2023: Fellow of the American Physiological Society Cardiovascular Section 2020: NIH Director's New Innovator Award 2017: American Heart Association Scientist Development Grant Multiple travel awards and postdoctoral fellowships Dr. Longden currently mentors several graduate students and postdoctoral fellows in the Longden Lab, which is supported by multiple NIH grants including an NINDS New Innovator Award and an NIA R01 grant. His lab develops and employs advanced techniques including multiphoton microscopy, electrophysiology, optogenetics, and molecular biology to study vascular cells in the brain. The lab is particularly focused on understanding vascular signaling plasticity and how pericytes control brain blood flow in health and Alzheimer's disease.