جست‌وجوی استاد و پژوهشگر

Amanda Chicoliمشاهده پروفایل

مدرس

• Systems Neurobiology
• Neuroethology
• Collective Behavior
• +۳ مورد دیگر

Amanda Chicoli is a Lecturer in the Psychology Department at the University of Maryland, College Park. She serves as the research coordinator for the neuroscience major, faculty advisor for the neuroscience minor, and course director for NEUR305: Neural Systems and Circuits. Her roles include teaching multiple courses such as PSYC300 (Research Methods in Psychology), PSYC409 (Topics in Neuroscience), and PSYC489R (Human & Animal Intelligence). Previously, she was a postdoctoral fellow at the Carnegie Institution for Science, where she studied zebrafish dorsal habenulae using molecular, genetic, and whole-brain imaging techniques. Chicoli holds a PhD in Neuroscience and Cognitive Science (2016) from the University of Maryland and a BS in Biology and Psychology from Brooklyn College (2010). Her research focuses on systems neurobiology, neuroethology, and collective behavior, with applications to bio-inspired engineering. She is deeply committed to science education and curriculum development, particularly for neuroscience programs. Her work integrates computational modeling, experimental neuroscience, and immersive VR technology to explore animal behavior and decision-making in groups. Her research interests emphasize understanding how individual and collective behaviors emerge from neural and environmental interactions. Key projects include analyzing rheotaxis (current-following) in fish schools, modeling group decision-making, and investigating predator avoidance strategies. She has contributed to studies using zebrafish as a model organism to explore brain connectivity and function. Chicoli’s work bridges theoretical models with empirical observations, offering insights into both fundamental neuroscience and applied engineering challenges.

Gareth Barkerمشاهده پروفایل

استاد

• Magnetic Resonance Imaging (MRI)
• Neuroscience
• Psychiatry
• +۳ مورد دیگر

Professor Gareth Barker is a Professor of Magnetic Resonance Physics at King’s College London, affiliated with the Department of Neuroimaging within the Institute of Psychiatry, Psychology & Neuroscience (IoPPN). He leads research in quantitative MRI techniques, including T1/T2 mapping, diffusion tensor imaging, and magnetisation transfer measurements, with applications to neurological and psychiatric disorders. His work focuses on developing MRI protocols for patient populations and advancing near-silent acquisition methods. He chairs doctoral student progress committees and contributes to research ethics governance. Education: PhD in Physics from the University of Nottingham (1986), BSc in Engineering (1982). Career milestones include roles at the University of Florida (1986-1988) and University College London (1988-2002) before joining King’s College London in 2002. He co-leads the Wellcome EPSRC Centre for Medical Engineering, focusing on medical imaging innovation. Research Interests: Neuroscience applications of MRI, neuroimaging technology development, psychiatric disorder diagnostics, and translational neuroimaging. Key projects include the IMAGEN study (adolescent brain development), c-VEDA cohort (child vulnerability), and STRATA schizophrenia research. Scientific Contributions: Over 600 peer-reviewed publications, including seminal work on MRI technique optimisation (e.g., 2006 Brain and Cognition paper on study design). Awards include Fellowship in the International Society for Magnetic Resonance in Medicine. Grants/Teams: Principal Investigator on grants for accelerated MRI in Alzheimer’s, silent MRI for MS, and deep learning in imaging. Collaborates with institutions globally on neuroimaging initiatives.

Shari Wadeمشاهده پروفایل

استاد

• Pediatric Psychology
• Traumatic Brain Injury
• Pediatrics
• +۳ مورد دیگر

Shari Wade is a Professor in the Department of Pediatrics and Director of Research in the Division of Physical Medicine and Rehabilitation at the Cincinnati Children’s Hospital Medical Center (University of Cincinnati). She holds a PhD in Clinical Psychology from the University of Pittsburgh (1988) and has extensive postdoctoral training in pediatric psychology. Her work focuses on technology-based interventions for families of children with traumatic and acquired brain injuries, with a strong emphasis on behavioral and family-centered approaches. Education Bachelor’s in Psychology, Cornell University (1981) Master’s and PhD in Clinical Psychology, University of Pittsburgh (1985, 1988) Fellowships: Rainbow Babies and Children’s Hospital (Pediatric Psychology), Yale University (Predoctoral Clinical Psychology) Research Interests Dr. Wade’s research centers on improving outcomes for children with traumatic brain injury (TBI), particularly through innovative interventions such as online problem-solving therapy and family adaptation programs. She explores behavioral, cognitive, and social outcomes, with a focus on long-term adaptation and neurorehabilitation strategies. Her work integrates technology (e.g., web-based interventions) to enhance accessibility and efficacy of care. Grants & Awards PI/Co-I on grants from NIH, NICHD, and others totaling over $3 million, including studies on TBI interventions, genetic influences on recovery, and family-based therapies. Awards: Dr. Jane Gillett Award (2017), Yuker Award (APA Division 22), and Faculty Achievement Award (Cincinnati Children’s Hospital). Labs & Collaborations She leads projects in neurorehabilitation and behavioral interventions, collaborating with teams on clinical trials (e.g., SMART application for TBI) and interdisciplinary studies on genetic and environmental factors affecting recovery.

Saurabh Sihagمشاهده پروفایل

استادیار

• Machine Learning
• Graph Neural Networks
• Network Neuroscience
• +۲ مورد دیگر

Saurabh Sihag is an Assistant Professor in the Department of Electrical & Computer Engineering at the University at Albany's College of Nanotechnology, Science, and Engineering. He holds a PhD from Rensselaer Polytechnic Institute and completed postdoctoral research at the University of Pennsylvania. His research develops theoretical foundations for graph-structured data processing, with applications in network neuroscience. Specific interests include covariance neural networks, graph signal processing, and explainable AI for neuroimaging analysis. Current projects focus on brain age prediction and neural network interpretability. Publications center on machine learning theory with neuroinformatics applications. Recent work demonstrates innovations in graph neural network architectures, structural equation modeling for brain networks, and transfer learning methodologies. Awards: J. Baliga Fellowship Charles M. Close '62 Doctoral Prize Laboratory Focus: Network Inference and Statistical Learning Lab Computational Neuroscience Group

Christina Driverمشاهده پروفایل

مدرس

• Youth Mental Health
• Adolescent Brain Development
• Lifestyle Behaviors and Mental Health
• +۳ مورد دیگر

Dr. Christina Driver is a Lecturer and Course Coordinator at the Thompson Institute, University of the Sunshine Coast (UniSC), specializing in Mental Health and Neuroscience. She coordinates postgraduate programs including the Graduate Certificate, Diploma, and Master's in Mental Health and Neuroscience. Her research focuses on youth mental health, adolescent brain development, lifestyle behaviors, and traumatic stress, contributing to the Thompson Institute's Longitudinal Adolescent Brain Study . Dr. Driver holds a PhD from UniSC, a Postgraduate Diploma in Neuroscience from the University of New England, and a First-Class Honors BSc from St Mary’s University, UK. She is a Fellow of the Higher Education Academy (UK) and a Science Mentor for Frontiers for Young Minds . Her research interests span psychosocial strategies in healthcare, biopsychosocial models of care, and neurobiological impacts of cyberbullying. Notably, she received the 2021 Vice Chancellor and President’s Award for Excellence in Teaching, shared with Liz Askew, for developing innovative online MHN programs. Dr. Driver’s work emphasizes interdisciplinary collaboration, combining neuroimaging, longitudinal cohort studies, and clinical interventions. She supervises research in youth mental health and neurodevelopmental mechanisms, with publications addressing cyberbullying effects, brain structural changes, and early intervention strategies.

Giovanni d'Avossaمشاهده پروفایل

مدرس

• Behavioral Neurology
• Visual Memory
• Neuroimaging
• +۷ مورد دیگر

Dr. Giovanni d'Avossa is a Lecturer in Psychology at Bangor University's School of Psychology and Sport Science. He teaches MSc courses in neuroimaging and neuropsychology to students from the School of Psychology. His work contributes to research in cognitive neuroscience and has connections to UN Sustainable Development Goals. Dr. d'Avossa is a behavioral neurologist whose research focuses on characterizing the functional and anatomical organization of visual memory in healthy individuals and patients with focal brain injuries and neurodevelopmental disorders using behavioral and imaging methods. His primary research areas include visual working memory, spatial binding, cognitive impairment related to neurological conditions, and the neurological effects of SARS-CoV-2 infection. As part of a research team, he has been developing an unbiased assessment digital battery designed to assess cognitive performance in populations with low literacy and numeracy skills. He also collaborates with NHS clinicians to advance clinical practice and research activities in neurorehabilitation across North Wales. His recent publications show a strong focus on cognitive impacts of various conditions, particularly the effects of SARS-CoV-2 infection on cognitive function across different age groups. His work spans multiple disciplines including neuropsychology, cognitive neuroscience, clinical psychology, and neurorehabilitation. The research demonstrates methodological diversity, employing techniques such as confirmatory factor analysis, systematic reviews with meta-analysis, community-based studies, and neuroimaging approaches. Dr. d'Avossa is actively involved in supervising postgraduate research, indicating his commitment to mentoring the next generation of researchers in psychology and neuroscience.

Patrick Nahirneyمشاهده پروفایل

استاد

• Synapse ultrastructure
• Neurogenesis
• Neuromuscular disease
• +۷ مورد دیگر

Dr. Patrick Nahirney is a Professor of Anatomy and Histology at the University of Victoria (UVic), affiliated with the Division of Medical Sciences. He teaches human gross anatomy and histology to medical students in the Island Medical Program and conducts research on neurogenesis, neuromuscular diseases, and synaptic ultrastructure. His work focuses on Alzheimer’s disease, stress-induced memory loss, and muscle/nerve tissue regeneration. Education: BSc from Washington State University MSc and PhD from University of British Columbia (UBC) Research Interests: Synapse ultrastructure, myogenesis, live-cell imaging, electron microscopy. Current projects include studying prenatal stress effects on hippocampal synapses, ethanol-induced neurodevelopmental disorders, and applicability of exercise therapy. His lab uses high-resolution microscopy to explore structural changes in neurological conditions like autism and schizophrenia. Grants & Funding: $662,490 CIHR Grant (2018-2023) examining cholinergic nuclei in Parkinson’s-like conditions $375K CFI-BCKDF Leaders Opportunity Fund for a new transmission electron microscope NSERC Discovery Grant investigating prenatal stress impacts on synapse ultrastructure Students & Advising: Supervised over a dozen graduate and honours students in areas like traumatic brain injury, Fragile X syndrome, and muscle cell fusion. Current MSc student Charlotte Copas is investigating microvascular damage post-TBI. Labs/Teams: Leads microscopy research using advanced electron tomography and immunocytochemical techniques. Collaborates internationally on cannabinoid receptor localization and neurodevelopmental studies. Co-director of UVic’s Centre for Biomedical Research.

• Computer Vision
• Machine Learning
• Medical Imaging
• +۳ مورد دیگر

Qing En is a Post Doctoral Fellow at the School of Computer Science, Carleton University, hosted by Yuhong Guo. Their research focuses on advanced machine learning techniques, particularly in medical imaging, computer vision, and agricultural technology. Key areas include unsupervised learning, few-shot classification, and domain adaptation for applications such as plant disease detection, lung infection segmentation, and steel defect analysis. Their work emphasizes developing robust models for scenarios with limited labeled data. Research interests span computer vision applications, medical image segmentation, and deep learning frameworks. Notable contributions include innovations in attention-based neural networks, prototype-guided learning, and contrastive variance methods. Recent projects highlight cross-domain adaptation and exemplar-based approaches for improving segmentation accuracy in healthcare and industrial contexts. Publications reflect a consistent focus on solving real-world challenges through AI, with applications in agriculture, healthcare, and cybersecurity. No awards or grants are explicitly listed, though their prolific publication record underscores active research engagement.

Tochukwu Nwezeمشاهده پروفایل

استادیار

• Developmental Psychology
• Cognitive Development
• Adverse Childhood Experiences
• +۵ مورد دیگر

Tochukwu Nweze, Ph.D., serves as Assistant Professor in the Department of Psychology at the University of Utah, specializing in Developmental Psychology. His research examines how adverse childhood experiences—including socioeconomic inequality, abuse, violence exposure, and family dysfunction—shape cognitive development and mental health trajectories through complex statistical modeling of longitudinal data. Education: Ph.D. in Cognitive Neuroscience, University of Cambridge (2022) M.Sc. in Neuroimaging, King's College London (2017) B.Sc. in Psychology, Nnamdi Azikiwe University, Awka (2014) Dr. Nweze investigates ACEs' impact on executive functions and neurobiological processes using structural equation modeling, growth mixture modeling, and latent class analysis. His multidisciplinary work bridges clinical and neuroscience perspectives to identify resilience pathways following adversity, with particular emphasis on cross-cultural comparisons between Western and Global South contexts. Current projects integrate ALSPAC, MCS, IMAGEN, and ABCD cohort data with primary data collection in Salt Lake City schools and Nigeria to examine cultural-ecological moderators of adversity effects. Analysis of his 15 most recent publications reveals consistent focus on longitudinal mediation of mental health outcomes, stress-adapted cognitive skills in adversity-exposed populations, and sophisticated modeling of developmental trajectories. Key patterns include Nigerian sample studies demonstrating enhanced working memory in deprived children, neuroimaging investigations of stress-related cortical changes, and mediation analyses showing mental health as pathway between early adversity and later cognitive deficits. Awards: No scientific awards were documented in the source materials. Dr. Nweze actively mentors graduate students in adversity-cognition research and recruits undergraduate assistants (3-6 hours/week) for Salt Lake City data collection. His research utilizes major cohort studies and primary data grants, though specific funding sources aren't detailed. He collaborates with the IMAGEN Consortium and Nigerian institutions for international data collection, focusing on non-WEIRD populations to uncover cultural variations in adversity impacts. His laboratory integrates behavioral testing, statistical modeling, and cross-cultural fieldwork, with emerging emphasis on ecological factors shaping adversity outcomes in low-income countries. Future directions include expanding ABCD data analysis and investigating stress-adapted cognitive skills across diverse developmental contexts.

Chris Antonopoulosمشاهده پروفایل

مدرس

• Dynamical Systems
• Chaotic Systems
• Computational Neuroscience
• +۷ مورد دیگر

Dr. Chris Antonopoulos is a Lecturer in Applied Mathematics at the University of Essex, affiliated with the School of Mathematics, Statistics and Actuarial Science (SMSAS) and the Department of Mathematical Sciences. His research focuses on dynamical systems, chaotic systems, computational neuroscience, and complex networks, with particular emphasis on neural synchronization, network inference, and mathematical tools for analyzing brain dynamics. He holds a PhD from the University of Patras (2007), specialized in Hamiltonian systems and statistical mechanics. Key research areas include: Computational neuroscience: Development of mathematical tools to study neural synchrony, brain plasticity, and disorders like epilepsy. Network inference: Using mutual information and statistical tests to infer connectivity in systems like brain networks and financial markets. Nonlinear dynamics: Analysis of chaos, energy localization in Hamiltonian systems, and q-statistics in non-extensive systems. Applications: Modeling pandemic spread (e.g., SIR models for COVID-19), time-series forecasting, and machine learning integration. Professional affiliations include the Institute of Mathematics and its Applications (MIMA), London Mathematical Society (LMS), and status as a Fellow of the Higher Education Academy (FHEA). His work combines analytical and numerical methods, including Lyapunov exponents, bifurcation analysis, and SALI/GALI chaos indicators. Collaborations span interdisciplinary fields, from neuroscience to statistical physics.

Francesca Filbeyمشاهده پروفایل

استاد

• Addiction Studies
• Neuroimaging
• Reward System Dysfunction
• +۵ مورد دیگر

Dr. Francesca Filbey is the Bert Moore Chair in BrainHealth and Professor in the Department of Psychology at the University of Texas at Dallas (UTD), part of the School of Behavioral and Brain Sciences. Her research focuses on addiction mechanisms, particularly using neuroimaging to study reward system dysfunction in substance use and disordered eating. She leads the Neuroimaging of Reward Dynamics Lab (NiRD), exploring genetic, environmental, and neurobiological factors influencing addiction. Education includes a PhD in Experimental Neuropsychology from King’s College London (2002), postdoctoral training at NIH, and prior roles at the University of New Mexico and the Mind Research Network. Her work combines fMRI, genetics, and behavioral studies to address how early life stress, age of substance use onset, and genetic variants like CNR1/FAAH influence reward pathways and addiction vulnerability. Key research areas include cannabis/marijuana neurobiology, tobacco cue reactivity, obesity as a behavioral addiction, and translational neuroscience linking genetics to brain phenotypes. Over 150 peer-reviewed publications and grants totaling millions (e.g., NIH R01s) support her work. Awards include NIDA Travel Awards, RSNA Junior Investigator honors, and international fellowships. Grants: NIH R01s on cannabis genetics, obesity-addiction overlap, and neurodevelopmental impacts of adolescent marijuana use. Lab: NiRD Lab investigates addiction’s neural underpinnings via multimodal brain imaging and behavioral assessments. Professional Roles: American College of Neuropsychopharmacology, Society for Neuroscience, and other leadership positions.

Raquel Lopezمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Neuroscience
• Child Development
• +۳ مورد دیگر

Raquel Lopez is an Associate Professor of Psychology at St. Norbert College. She specializes in developmental psychology, focusing on how early adversity impacts decision-making processes and neural development. Her work employs EEG techniques in the Developmental Decision-Making Lab to study these dynamics across various populations, including adolescents and older adults. Lopez is a former Ronald E. McNair Scholar and recipient of the Leonard Ledvina Outstanding Teacher Award, reflecting her dedication to mentoring underrepresented students in higher education. She teaches courses on adult development, aging, and resilience, emphasizing the interplay between individual development and environmental influences. Her research explores topics such as childhood maltreatment’s long-term effects on brain connectivity and cognitive functioning, as well as the role of peer influence and social context in decision-making. Lopez’s contributions span both empirical studies and syllabus development for undergraduate courses, integrating practical and theoretical insights. Her findings highlight the importance of addressing early adversity to foster resilience and healthy neurodevelopment. Scientific Awards: Leonard Ledvina Outstanding Teacher Award Labs/Teams: Developmental Decision-Making Lab

• Magnetoencephalography (MEG)
• Traumatic Brain Injury
• Concussion
• +۵ مورد دیگر

Elizabeth Moody Davenport, Ph.D., is an Assistant Professor of Radiology at UT Southwestern Medical Center, where she serves as the Technical Director for the Magnetoencephalography Center of Excellence. She holds secondary appointments in the Department of Biomedical Engineering and the Advanced Imaging Research Center (AIRC), and a tertiary appointment in the Department of Neurology. Her educational background includes a bachelor's degree in biomedical engineering from North Carolina State University and a doctorate in biomedical engineering from Virginia Tech-Wake Forest University. She completed postdoctoral training in clinical Magnetoencephalography (MEG) at UT Southwestern in the Advanced NeuroScience Imaging Research (ANSIR) Lab under Joseph Maldjian. Dr. Davenport's research focuses on magnetoencephalography (MEG) and advanced imaging techniques to study traumatic brain injury, concussion, Alzheimer's disease, dementia, and epilepsy. Her work examines subconcussive head impacts in contact sports and their effects on brain function/structure, aiming to develop imaging biomarkers for clinical diagnosis and prognosis. Her recent publications reveal strong trends in MEG-based investigation of brain connectivity changes following head impacts in youth football, with expanding applications in epilepsy surgery planning, Alzheimer's disease progression, and novel tool development for neural signal analysis. Scientific recognition includes: Patent for developing a system that allows for rapid intraosseous delivery of fluids from a fluid reservoir via an intraosseous port having a tip disposed within a patient's bone marrow Dr. Davenport actively mentors Ph.D. candidates and postdoctoral researchers in the Davenport Lab, securing research funding and extending her scientific expertise to nonprofit canine rescue grants. Her leadership in the ANSIR Lab fosters multidisciplinary collaboration across radiology, neurology, and biomedical engineering. The Davenport Lab specializes in quantitative brain imaging methods, developing MEG spectral analysis algorithms and advanced MRI structural analytics for concussion biomarkers, early dementia detection, and epilepsy localization, directly supporting clinical applications at UT Southwestern.

Helena M. Blumenمشاهده پروفایل

عضو هیئت علمی

• Cognitive Neuroscience
• Gerontology
• Neuroimaging
• +۳ مورد دیگر

Helena M. Blumen, Ph.D., holds the title of Adjunct Clinical Associate Professor in the Department of Medicine (Geriatrics) and the Saul R. Korey Department of Neurology at Albert Einstein College of Medicine. She specializes in cognitive neuroscience, focusing on optimizing gait and cognition in aging populations through interventions like social dancing, motor imagery, and collaborative memory strategies. Her research integrates neuroimaging techniques and clinical methods to address mobility and cognitive decline in older adults. Dr. Blumen completed her Ph.D. in Cognitive Psychology at Stony Brook University (2008) and an MS in Clinical Research Methods at Albert Einstein College of Medicine (2018). She has held prestigious fellowships, including a T32 NIH/NIA postdoctoral position at Columbia University Medical Center (2011) and a neuroimaging fellowship at Albert Einstein (2013). She coordinates neuroimaging data for multiple NIH/NIA-funded studies, with a current focus on trajectories of brain, gait, and cognitive decline in aging and pre-dementia populations. Her honors include a NIH/NIA Career Development Award (1K01AG049829-01A1) and the 2015 American Geriatrics Society Outstanding Junior Research Manuscript Award for her work on neural correlates of imagined walking. She leads a lab exploring interventions to improve cognition and mobility in older adults, with findings disseminated through her Twitter account @BlumenAgingLab.

• Developmental Psychology
• Computational Neuroscience
• Emotion Regulation
• +۵ مورد دیگر

João Guassi Moreira serves as an Assistant Professor in the Department of Psychology at the University of Wisconsin–Madison, where he directs the Computational Developmental Neuroscience Lab. His research bridges developmental psychology and computational neuroscience to investigate how youth acquire cognitive, affective, and social skills in complex environments. Dr. Moreira's work centers on three interconnected domains: emotion regulation , risky decision-making , and social interactions with specific partners . His lab employs multimodal methodologies including functional MRI, naturalistic text analysis, and ecological momentary assessment, combined with advanced computational techniques from computer science and behavioral economics. This approach reveals hidden structures of the developing mind that traditional methods cannot capture, with emphasis on adolescent and young adult populations exposed to early adversity. Analysis of his recent publications shows a strong trajectory toward computational modeling of developmental phenomena , particularly neural mechanisms underlying emotion regulation typologies, social decision preferences, and adversity impacts. His work increasingly integrates large-scale consortium data (e.g., ABCD study) with novel statistical frameworks to predict developmental outcomes and advance methodological rigor in neuroscience. The Computational Developmental Neuroscience Lab actively collaborates with international consortia and develops open statistical tools to enhance reproducibility in developmental science. Current projects focus on neural representations of social value, inflammatory impacts on emotion circuits, and computational signatures of resilience following early adversity.