جست‌وجوی استاد و پژوهشگر

Zhuhao Wuمشاهده پروفایل

استادیار

• Neuroscience
• Neurovascular Coupling
• Neural Circuit Mapping
• +۴ مورد دیگر

Zhuhao Wu serves as Assistant Professor of Neuroscience at the Brain and Mind Research Institute, Weill Cornell Medical College since 2022. His research integrates neurovascular biology, neural circuit mapping, and neurodegenerative mechanisms to understand brain organization and disease processes. Education: Ph.D. in Neuroscience, The Johns Hopkins University School of Medicine (2011) B.S. in Biological Sciences, Tsinghua University, China (2003) Research Focus: Dr. Wu pioneers multi-scale investigations of neurovascular coupling , brain-wide circuit organization , and neurodegenerative pathways . His lab employs whole-brain imaging , single-cell transcriptomics , and genetic engineering in murine models to dissect mechanisms of stroke recovery, tau pathology, and developmental disorders. Current work emphasizes regional blood-brain barrier heterogeneity and axon degeneration pathways with therapeutic implications. Publication Trends: Recent work (2023-2025) reveals three convergent themes: (1) neurovascular dynamics in health/disease, (2) high-resolution brain atlasing techniques, and (3) molecular mechanisms of neurodegeneration. Publications in Cell , Nature , and Neuron demonstrate methodological innovation in circuit mapping and translational relevance to stroke, Alzheimer's, and autism spectrum disorders. Grant Portfolio: Principal Investigator Subaward: NINDS R01 Investigating Neurobiology of Early Cognitive Impairment (2024-2029) Principal Investigator Subaward: NINDS R01 Mechanisms of anosmia in COVID-19 (2023-2028) Principal Investigator Subaward: NINDS BRAIN CONNECTS Center for Large-scale Imaging (2023-2028) Principal Investigator Subaward: NINDS Global mapping of DDX3X mutation circuits (2023-2028) Principal Investigator Subaward: NIAID single-cell encephalitis pathogenesis (2023-2026) Dr. Wu leads a multidisciplinary team within the Brain and Mind Research Institute focused on developing HOLiS (whole-brain staining/clearing pipeline) and TrailMap for neural circuit analysis. His lab collaborates extensively on NIH BRAIN Initiative projects advancing large-scale connectome mapping.

• Systematic Review Automation
• Machine Learning
• Natural Language Processing
• +۷ مورد دیگر

Lena Schmidt is a Research Fellow at the University College London (UCL) Social Research Institute , specializing in methods development for systematic reviews , evidence maps , and living evidence syntheses . She leverages machine learning and neural networks to optimize data mining and classification during the screening process. Her work emphasizes automation tools for large-scale literature analysis and addressing reproducibility in evaluations. MSc Applied Health Sciences , Furtwangen University (2018) NIHR Systematic Reviews Fellowship (2018–2020) Predoctoral Fellowship in Living Reviews and Automation Her research focuses on enhancing systematic review efficiency through NLP , AI , and data engineering , particularly for grey literature in health research. Recent publications address pandemic impacts on mental health , automation in evidence synthesis , and knowledge graph development for toxicology. Scientific awards include the NIHR Fellowship and Intelligent and Adaptive Systems Certification from the University of Sussex. She actively collaborates with organizations like the Campbell Collaboration and ICASR , co-organizing automation workshops and contributing to methodological frameworks.

• speech perception
• Auditory Perception
• Sleep
• +۷ مورد دیگر

Howard Nusbaum is a Professor in the Psychology Department within the Social Sciences Division at the University of Chicago. His research has focused since 1986 on perceptual learning, attention, and working memory, with significant contributions to understanding speech perception, auditory processing, and more recently, the science of wisdom. His laboratory employs a wide range of methods including high-density EEG, fMRI analysis, auditory brainstem recordings, and sophisticated speech analysis tools. Education: BA in Computer Science and Psychology from Brandeis University (1976) PhD in Cognitive Psychology from State University of New York at Buffalo (1981) Postdoctoral training in Speech, Hearing, and Sensory Communication from Indiana University (1984) Nusbaum's research investigates how humans learn and process speech and other auditory information, with particular emphasis on the role of attention, working memory, and sleep in perceptual learning. His laboratory has made groundbreaking contributions, including the first scientific evidence for sleep consolidation of generalized learning, the first behavioral evidence for functional effects of sleep consolidation in songbirds, and the discovery that adults can learn perfect pitch with this learning dependent on working memory capacity. His recent work has expanded to explore the cognitive neuroscience of wisdom, investigating how self-transcendent experiences contribute to wise reasoning. Nusbaum's publication record demonstrates consistent high-impact research across cognitive neuroscience, with recent work spanning from basic mechanisms of speech perception to broader questions about wisdom and decision-making. His research shows an evolving trajectory from foundational work on perceptual learning and speech processing toward more complex questions about higher cognitive functions and their neural underpinnings, with publications extending into 2025. Scientific Awards: 2018 Stella M. Rowley Professor of Psychology 2014 Fellow, The Psychonomic Society 2012 Llewellyn John and Harriet Manchester Quantrell Award for Excellence in Undergraduate Teaching 2009 Fellow, Association for Psychological Science 2007 Future Faculty Mentorship Award Nusbaum has successfully mentored numerous graduate students and postdoctoral trainees who have gone on to become tenured faculty at prestigious institutions worldwide. His NIH-funded research on 'Structure and Process in Speech Perception' has supported his work for many years. His laboratory provides comprehensive training in behavioral research methods, signal processing, statistical analysis, human electrophysiology, and computational modeling. The APEX (Attention, Perception, and Executive-function eXperience) lab at the University of Chicago, which Nusbaum directs, is equipped for high-density EEG measurements, fMRI data analysis, auditory brainstem recordings, and a wide range of speech analysis tools. The lab conducts research with human participants, including nap studies with polysomnography. Nusbaum also contributes to the UChicago Center for Practical Wisdom, reflecting his expanding research interests into the cognitive neuroscience of wisdom.

Fabian-Xosé Fernandezمشاهده پروفایل

دانشیار

• Circadian Rhythms
• Sleep Science
• Suicide Risk Assessment
• +۳ مورد دیگر

Fabian-Xosé Fernandez serves as Associate Professor in the Department of Psychology within the College of Science at the University of Arizona, where he directs the Circadian Trends Laboratory. His research program bridges neuroscience, clinical psychology, and public health through investigations of circadian biology and sleep-wake patterns. His primary research interests focus on circadian fluctuations in real-world data , psychology of nighttime wakefulness , and suicide risk mechanisms . Key investigations explore how nocturnal wakefulness correlates with suicidal ideation, homicide risk, and metabolic dysregulation. His work employs National Violent Death Reporting System analyses Controlled circadian phase-shifting experiments Population-level sleep surveys Translational rodent models Recent publications reveal strong temporal patterns in behavioral health outcomes, with suicide risk peaking during circadian night across diverse populations. His lab develops chronotherapeutic interventions including spectral filtering devices and lighting protocols to optimize circadian alignment. Current work examines how blue-light modifiers affect phase-shifting responses and how sleep disruption mediates psychiatric outcomes in bipolar disorder. Fernandez teaches graduate and undergraduate courses including PSY 350 (Sleep/Wake, Time Cycles, & Life) and PSY 578 (Sleep & Sleep Disorders), with recent instruction through 2025. His academic service includes editorial review for journals like Clocks & Sleep and Neuropsychopharmacology.

• Service-Oriented Architectures and Information Systems
• Web Data Engineering
• Web Engineering and Web Modeling
• +۶ مورد دیگر

Ioannis Tzimas is a Professor at the Department of Electrical and Computer Engineering of the University of Peloponnese. He is a highly active researcher with numerous publications in areas of Service-Oriented Architectures, Web Engineering, Big Data, and Artificial Intelligence applications. University: University of Peloponnese Department: Department of Electrical and Computer Engineering Academic Rank: Professor Email: tzimas@uop.gr Ioannis Tzimas received his education from the Department of Computer Engineering and Informatics of the University of Patras, where he also completed his PhD in Web Engineering. His research spans multiple interdisciplinary domains at the intersection of computer science and practical applications. Service-Oriented Architectures and Information Systems Web Data Engineering and Web Modeling Big Data Management and Data Science Machine Learning and Artificial Intelligence Applications Digital Ecosystems and Digital Transformation for the Public Sector Bioinformatics Professor Tzimas' recent research output demonstrates a strategic focus on applying advanced computational techniques to address contemporary challenges. His work shows particular expertise in labor market analysis using large language models, electricity demand forecasting in Greece, and social protection systems. His publications reveal a pattern of bridging theoretical computer science with practical, real-world applications across multiple sectors. Since 2018, he has served as an international consultant to the World Bank in the field of information systems and digital transformation, working on projects across Europe, Africa, the Caribbean, the Pacific Islands, and China. His earlier career included significant technical leadership roles at the University of Patras and other Greek institutions. Technical Manager of the Graphics, Multimedia and Geographic Systems Laboratory (1996-2018) Technical Coordinator of the Internet and Multimedia Technologies Research Unit (1997-2011) Scientific Manager of the Network Management Center of the TEI of Messolonghi (2009-mid 2013)

• Artificial Intelligence
• Smart Manufacturing
• Fault Diagnosis
• +۶ مورد دیگر

Dr. M M Manjurul Islam is a Research Associate in Artificial Intelligence for Smart Manufacturing at Ulster University's School of Computing, Engineering and Intelligent Systems. His research focuses on applying advanced AI techniques to solve critical challenges in manufacturing systems, with particular expertise in fault diagnosis, predictive maintenance, and semiconductor production optimization. His research interests span Artificial Intelligence , Smart Manufacturing , Fault Diagnosis , Machine Learning , Deep Learning , Predictive Maintenance , and Semiconductor Manufacturing . He has made significant contributions to the application of convolutional neural networks, support vector machines, and generative adversarial networks in industrial settings, particularly for bearing fault diagnosis and wafer defect classification. Dr. Islam's recent publications (2023-2025) demonstrate a strong focus on practical AI applications in manufacturing, with multiple chapters in the Springer Series in Advanced Manufacturing. His work shows an evolving trajectory from traditional machine learning approaches to more sophisticated deep learning and explainable AI techniques, with increasing emphasis on semiconductor manufacturing challenges and trustworthy AI systems. His research contributes to UN Sustainable Development Goals, particularly in industrial innovation and infrastructure. He is an active member of professional organizations including IEEE and Advance HE, serving as Chair for both networks. According to Scopus data, Dr. Islam has accumulated 1,706 citations with an h-index of 16, reflecting the impact of his research in the field. His publication record shows consistent productivity, with research outputs spanning from 2015 to anticipated publications in 2025.

Nectarios Kozirisمشاهده پروفایل

استاد

• Parallel and Distributed Systems
• Computer Architecture
• Systems Software
• +۱۰ مورد دیگر

Nectarios Koziris is a Professor at the Department of Computer Science , National Technical University of Athens (NTUA) , and former Dean of the School of Electrical and Computer Engineering . His research focuses on Parallel and Distributed Systems , Computer Architecture , and Cloud Computing . Key Research Themes: Compiler-OS-Architecture Interaction, Datacenter Hyperconvergence, Sparse Matrix Optimization, Quantum Computing, FPGA Virtualization Leadership: Founder of ~okeanos (Europe's largest public Cloud IaaS), Co-founder of GFOSS , Member of IEEE Computer Society Greece, Advisor to Arrikto Inc. His work has led to over 180 publications with 5800+ citations (h-index 33) , including two Best Paper Awards (IPDPS 2001, CCGRID 2013) and Intel Recognition (2015). He has supervised 12 PhD students and participated in 15+ EU projects as coordinator or consortium partner. Scientific Leadership: Program Co-Chair for Europar 2012 , Organizer for IPDPS , ICPP , SC conferences, and active member in Cloud Computing Expert Groups for the European Commission.

• Intelligent Systems and Control
• Cognitive Robotics
• Nano-robotics
• +۹ مورد دیگر

Laxmidhar Behera is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Intelligent Systems and Control. With over two decades of academic experience at IIT Kanpur and international research experience at institutions including Fraunhofer Institute of Autonomous Intelligent Systems in Germany, ETH Zurich, and University of Ulster, he has established himself as a leading researcher in cognitive robotics and intelligent control systems. Dr. Behera's research spans multiple cutting-edge domains including Cognitive Robotics, Nano-robotics, Vision based Control, Soft Computing, Information Retrieval in music and language, Semantic Information Processing, Physics of Complex Systems, Cyber Physical Systems, Formation Control of UAVs, Brain-Computer Interface (BCI), and Sanskrit Computational Linguistics. His interdisciplinary approach bridges traditional control theory with modern computational intelligence techniques, creating innovative solutions for complex real-world problems. His extensive publication record in top-tier journals like IEEE Transactions demonstrates his leadership in areas such as brain-computer interfaces, visual servoing, multi-robot systems, and music information retrieval. Notably, his work on quantum neural networks for EEG filtering and multisatellite formation control has received significant attention in the research community. UKIERI Standard Research Award 2008 Best Paper at International Conf. on Intelligent Sensors and Information Processing (ICISIP-2004) Best Paper at WoSco,02, Int. Conf. High-Performance Computing (HiPC, 2002) AICTE career award for young teacher (1997) Senior Member IEEE Multiple IEEE top accessed articles (2009-2010) As an Associate Editor for Autosoft Journal and Technical Committee Member for Intelligent Control at IEEE Control System Society, Dr. Behera actively contributes to the academic community. His laboratory in the Western Lab - 212A of the Department of Electrical Engineering serves as a hub for research in intelligent systems, where he mentors students and collaborates with researchers worldwide on cutting-edge projects in robotics, control systems, and computational intelligence.

Philip Taylorمشاهده پروفایل

استاد

• Immunology
• Macrophage biology
• Innate immune system
• +۵ مورد دیگر

Professor Philip Taylor is a Professor of Translational Immunology in the Division of Infection and Immunity at Cardiff University's School of Medicine. He serves as PGR Lead for the Systems Immunity Research Institute and is a UK Dementia Research Institute Professor. His research focuses on the innate immune system, particularly macrophages, myeloid cell surface receptors, and the complement system. His educational background includes a PhD in Molecular Genetics from Imperial College London (1998) and a BSc in Human Genetics from University College London (1994). His career progression shows a strong trajectory in immunology research, with positions at Oxford University before joining Cardiff University. Professor Taylor's research interests center on macrophage biology, particularly their origins, development, renewal, and transcriptional control of cellular activation. More recently, he has developed a significant focus on microglia in dementia, especially Alzheimer's disease. He also has interests in developing technologies that promote the 3Rs (Replacement, Reduction, Refinement) in animal research while maintaining scientific excellence. His work heavily involves experimental murine models of disease and immunity with the ultimate goal of elucidating novel mechanisms to manipulate macrophage activity for beneficial outcomes in disease. His recent publications demonstrate a strong trend toward understanding the role of the immune system in neurodegenerative diseases, particularly Alzheimer's, while maintaining his foundational work on macrophage biology and pathogen recognition. The research spans multiple disciplines including immunology, neuroscience, cell biology, and genetics, with strong translational potential. Recipient of a Wellcome Trust Investigator Award (2016-2021) Recipient of a Medical Research Council Senior Fellowship (2007-2014) Awarded Research Lecturer status, Oxford University (2006) Recipient of a Wellcome Trust Research Career Development Fellowship (2003-2007) Awarded RSII status, Oxford University (2002) Recipient of Medical Research Council PhD studentship (1994) Professor Taylor leads the Myeloid Cell Biology Group at Cardiff University, which investigates macrophage biology in homeostasis and disease, as well as the role of microglia in dementia. His current grant funding includes an MRC UK Dementia Research Institute Programme Grant (2017-2023) worth £1.7M and a Wellcome Trust Investigator Award (2016-2021) worth £1.41M. His research group is actively involved in understanding how genes implicated in Alzheimer's disease impact microglial function, with the aim of inspiring novel therapeutic approaches. The Myeloid Cell Biology Group is investigating professional phagocytes (macrophages, dendritic cells, and neutrophils) and their diverse roles in development, host defense, inflammation, wound healing, and immune surveillance. The group focuses on fundamental aspects of phagocyte biology, including pathogen recognition receptors, downstream signaling, and cellular activation events, with the goal of manipulating cell behavior for therapeutic benefit.

Gerald H. Thomsenمشاهده پروفایل

استاد

• Developmental Biology
• Embryology
• Molecular Genetics
• +۳ مورد دیگر

Gerald H. Thomsen is a Professor in the Department of Biochemistry and Cell Biology at Stony Brook University, where his research focuses on molecular mechanisms of embryonic development using Xenopus frogs and Nematostella vectensis sea anemones. His laboratory investigates growth factor signaling pathways, ubiquitin-mediated protein degradation, and transcriptional regulation during early development. His primary research areas include TGFß superfamily signaling (specifically Vg1/nodal/activin and BMP pathways), ubiquitin ligase function in cell differentiation, and evolutionary developmental biology through comparative studies of vertebrates and cnidarians. Current projects examine Smad-interacting factors, Smurf ubiquitin ligases, and the molecular basis of regeneration in sea anemones, with implications for understanding human developmental disorders and birth defects. Dr. Thomsen's publications reveal consistent focus on developmental signaling mechanisms across diverse model organisms, with recent work emphasizing CRISPR/Cas9 applications in Xenopus and evolutionary conservation of developmental pathways. His laboratory maintains active collaborations with researchers at the University of Florida and University of Hawaii, particularly on Nematostella vectensis functional genomics and regeneration studies, as evidenced by co-authored publications on cnidarian developmental mechanisms.

Lynn Kamerlinمشاهده پروفایل

استاد

• Computational Biophysics
• Molecular Evolution
• Enzyme Engineering
• +۱۲ مورد دیگر

Lynn Kamerlin is a Professor at the Georgia Institute of Technology and co-leads the Kamerlin Laboratory, which operates across Georgia Tech and Lund University. Her work integrates computational chemistry and biophysics to address fundamental questions in enzyme evolution, catalysis, and protein design. Education MNatSc in Chemistry, University of Birmingham (UK) PhD in Chemistry, University of Birmingham (UK) Her research spans computational biophysics , focusing on mechanistic biochemistry , protein evolution , and enzyme engineering . Key methodologies include machine learning , molecular dynamics simulations , EVB/QM/MM modeling , and natural language models for protein structure prediction. Recent publications highlight trends in AI-driven enzyme design , conformational dynamics , and mechanistic studies of phosphoryl transfer reactions . Tools like WatCon and Q-RepEx demonstrate her commitment to method development in computational biology. Scientific Awards Georgia Research Alliance Eminent Scholar (2022-Present) Wallenberg Scholar (2020-2024) ERC Starting Grant (2012-2017) Wallenberg Academy Fellowship (2014-2019, prolonged 2019-2024) Young Academy of Europe Chair (2014-2015) Fellow of the Royal Society of Chemistry (2017) Her lab collaborates with experimental groups worldwide, leveraging enhanced sampling techniques and structural bioinformatics to engineer enzymes with tailored properties. Grants from the Swedish Research Council and European Research Council underpin her research on enzyme evolution and catalytic mechanisms. Current projects include computational design of thermostable enzymes , allosteric modulators for biomedical targets, and modular protein scaffolds . The lab also investigates non-canonical amino acid incorporation and FAIR data principles in biomolecular simulations.

Snehamoy Chatterjeeمشاهده پروفایل

دانشیار

• Artificial Intelligence in Mining
• Remote Sensing for Geological Applications
• Mine Safety and Reliability
• +۵ مورد دیگر

Snehamoy Chatterjee serves as Associate Professor and Witte Family Endowed Faculty Fellow in the Department of Geological and Mining Engineering and Sciences at Michigan Technological University. His expertise spans ore reserve estimation, mine planning optimization, and AI-driven safety systems, with significant contributions to remote sensing applications in mining and geological hazard assessment. Chatterjee earned his PhD in Mining Engineering from the Indian Institute of Technology Kharagpur, followed by postdoctoral research at the University of Alaska Fairbanks and the COSMO Stochastic Mine Planning Laboratory at McGill University. His academic journey includes prior faculty positions at India's National Institute of Technology. His research program integrates cutting-edge artificial intelligence with geospatial technologies to solve critical challenges in mining safety and resource management. Key focus areas include: Generative AI frameworks for real-time mining hazard prediction Hyperspectral and InSAR remote sensing for mineral exploration Deep learning applications in geophysical inversion Stochastic optimization of mine planning under uncertainty Machine learning-driven landslide and earthquake hazard mapping Chatterjee's 15 most recent publications (2023-2024) reveal a pronounced shift toward AI-geospatial fusion , with 60% of works applying deep learning to satellite imagery for hazard monitoring. His team's research spans three critical domains: mining safety systems (33%), geological hazard prediction (47%), and resource optimization (20%), demonstrating strong interdisciplinary collaboration across environmental science and engineering disciplines. Professional recognition includes: Editor's Best Reviewer Award 2014 from Mathematical Geosciences Journal APCOM Young Professional Award 2015 at the 37th APCOM conference Chatterjee actively mentors graduate students and leads multiple federally funded research initiatives focused on mine safety innovation and critical mineral exploration. His professional service includes editorial responsibilities for Mining, Metallurgy & Exploration and committee roles in major international conferences through IAMG, SME, and AGU. Current projects emphasize generative AI applications for predictive safety analytics and hyperspectral remote sensing for critical mineral discovery. His research extends through collaborations with the COSMO Laboratory network and industry partners across North America, India, and Australia, with recent fieldwork focusing on Alaskan platinum deposits and Indian coal reserves.

Michale Feeمشاهده پروفایل

استاد

• Neuroscience
• Neural Networks
• Cognitive Modeling
• +۵ مورد دیگر

Michale Fee is the Glen V. and Phyllis F. Dorflinger Professor of Neuroscience at the Massachusetts Institute of Technology (MIT) , where he serves as Department Head of Brain and Cognitive Sciences and Investigator at the McGovern Institute for Brain Research . His research focuses on understanding how the brain generates and learns complex sequential behaviors using songbirds as a model system. Education: B.E. in Engineering Physics, University of Michigan (1985) Ph.D. in Applied Physics, Stanford University (1992) Research Interests: Fee’s work combines advanced electrophysiological techniques , optical imaging , and computational modeling to study neuronal circuits underlying sequence learning and motor control in songbirds. His lab investigates how neural circuits support vocal learning, temporal coordination, and behavioral adaptation. Scientific Awards: MIT Fundamental Science Investigator Award (2017) MIT School of Science Teaching Prize (2016) BCS Award for Excellence in Teaching (2015) Lawrence Katz Prize (2012) Dart Scholar (2003) Advising and Grants: Fee has mentored numerous PhD students , Masters students , and postdoctoral researchers . He leads the Fee Laboratory at MIT, which develops innovative neurotechnologies and contributes to global neuroscience collaborations , including the Simons Collaboration on the Global Brain.

John D. E. Gabrieliمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Dyslexia
• Memory Systems
• +۷ مورد دیگر

John D. E. Gabrieli is a Professor at the Massachusetts Institute of Technology (MIT) in the Department of Brain and Cognitive Sciences, holding the Grover Hermann Professorship in Health Sciences and Technology and Cognitive Neuroscience. He serves as Director of the Athinoula A. Martinos Imaging Center at the McGovern Institute for Brain Research and leads the MIT Integrated Learning Initiative. His research spans cognitive neuroscience, focusing on memory, thought, and emotion, with clinical applications in dyslexia, autism, and psychiatric disorders. Director, Athinoula A. Martinos Imaging Center (2016–present) Grover Hermann Professor, MIT (2005–present) Faculty, Harvard Graduate School of Education (2006–present) Visiting Professor, Rush Medical College (1990–present) Gabrieli’s work combines brain imaging with behavioral studies to explore learning mechanisms in children, early intervention for reading difficulties, and neuroimaging applications in psychiatric diagnosis. Recent studies examine altered brain activity in dyslexia , neurodevelopmental patterns in autism , and predictive modeling for mental health . His 2024 dataset on adolescent anxiety/depression in the Human Connectome Project highlights longitudinal neuroimaging approaches. Scientific accolades include election to the American Academy of Arts & Sciences (2016), multiple teaching awards at MIT and Stanford, and the Alice H. Garside Lifetime Achievement Award (2017). He contributes to editorial boards of journals like Psychological Science and Biological Psychiatry . His lab emphasizes educational neuroscience , investigating how socioeconomic factors, white matter plasticity, and mindfulness interventions impact learning outcomes. Collaborations span Massachusetts General Hospital, McLean Hospital, and the Harvard Graduate School of Education, integrating clinical and educational applications of cognitive neuroscience.

Paul Shawمشاهده پروفایل

استاد

• Sleep Neuroscience
• Memory Consolidation
• Neuronal Plasticity
• +۴ مورد دیگر

Paul Shaw is a Professor of Neuroscience in the Department of Neuroscience at Washington University School of Medicine. He leads the Shaw Lab, which focuses on understanding the fundamental mechanisms of sleep and its relationship to cognitive function and neurological disorders using Drosophila melanogaster as a model organism. Dr. Shaw's research has demonstrated that enhancing sleep can fully restore cognitive functioning in various memory mutants and even reverse cognitive deficits in models of Alzheimer's disease. His work suggests sleep plays a vital role in neuronal plasticity beyond simple memory consolidation, including improving creative thinking and problem-solving abilities. Dr. Shaw's educational background includes a BA in Psychology & Criminal Justice from Niagara University (1985), an MA in Psychology from San Jose State University (1990), and a PhD in Biopsychology from the University of Chicago (1996). His recent research has focused on the molecular mechanisms that allow sleep to initiate extreme forms of neuronal plasticity capable of reversing cognitive deficits caused by genetic and structural lesions. In 2021, Dr. Shaw received a one-year $2.3 million grant from the National Institute on Aging of the NIH for research titled "Bidirectional interactions between sleep and Alzheimer's disease: Functional dissection of the brain transcriptome in humans and Drosophila." Dr. Shaw's publications reveal consistent research trends in sleep neuroscience, with particular emphasis on: The relationship between sleep and memory consolidation Mechanisms of sleep homeostasis and regulation The role of sleep in cognitive resilience and recovery from neurological damage Using Drosophila models to understand fundamental sleep mechanisms relevant to humans The connection between sleep disruption and neurodegenerative diseases Dr. Shaw actively mentors students and researchers in the Shaw Lab and has numerous ongoing research projects exploring the fundamental biological purpose of sleep. His work has significant implications for understanding and potentially treating sleep disorders and neurodegenerative conditions.