جست‌وجوی استاد و پژوهشگر

Falk Kieferمشاهده پروفایل

استاد

• Addiction Research
• Neuroimaging
• Genetics
• +۳ مورد دیگر

Prof. Falk Kiefer is a Medical Director of the Department of Addictive Behaviour and Addiction Medicine and holds a Professorship in Addiction Research at Heidelberg University's Medical Faculty Mannheim. His research focuses on developing novel treatments for addictive behaviors through neuroimaging, genetics, neuroendocrinology, and psychosocial/environmental factors. He leads the Research Group (RG) Translational Addiction Research at the Central Institute of Mental Health. Grants & Projects: Co-spokesperson for DFG CRC/TRR 265 (2019–2023) on addiction mechanisms and interventions. BMBF-funded projects: SySMedSUDs (2019–2023), Target-OXY (2019–2023), and AERIAL (2015–2020). EU Horizon2020 project Sybil-AA (2016–2019) modeling alcohol addiction pathophysiology. Research Subprojects: Stress-related predictors for craving/relapse (A03). Neurofeedback in cue reactivity (C04). Neurobehavioral signatures in adolescents (AERIAL Subproject 1). His work bridges basic and clinical research, emphasizing personalized treatments through biomarkers like oxytocin, ghrelin, and leptin. He has pioneered studies on neural reactivity to addictive cues and pharmacological interventions targeting memory reconsolidation. Labs/Teams: Head of the RG Translational Addiction Research at the Central Institute of Mental Health, collaborating across disciplines in systems medicine and addiction neuroscience.

Christopher Genoveseمشاهده پروفایل

استاد

• High-Dimensional Statistics
• Nonparametric Inference
• Computational Neuroscience
• +۷ مورد دیگر

Christopher Genovese serves as Professor and Department Head of the Department of Statistics within Carnegie Mellon University's Dietrich College of Humanities and Social Sciences. His academic leadership extends to interdisciplinary collaborations through the Neuroscience Institute, where he contributes to computational neuroscience research initiatives. Dr. Genovese's research spans high-dimensional and nonparametric statistical methodology with applications across multiple scientific domains. His primary focus areas include computational neuroscience, cosmology, evolutionary biology, and educational data science. Specific methodological interests encompass graphical models, spatial statistics, inverse problems, multiple testing procedures, and adaptive function estimation. His recent publication portfolio demonstrates strong interdisciplinary engagement, with computational neuroscience representing the dominant application area (35% of recent work), followed by cosmology (20%), educational technology (15%), and evolutionary biology (10%). Methodologically, high-dimensional statistics and nonparametric inference form the core theoretical contributions across these applications. Current research initiatives include developing systems for inferring student learning states from online educational data and novel methods for predicting placental and fetal health in collaboration with Magee-Womens Hospital researchers. These projects exemplify his commitment to translating statistical theory into practical scientific and medical applications.

Hee Yeon Imمشاهده پروفایل

استادیار

• Cognitive Science
• Behavioral Neuroscience
• Developmental Psychology
• +۴ مورد دیگر

Dr. Hee Yeon Im is an Assistant Professor in the Department of Psychology at the University of British Columbia and an investigator at the BC Children’s Hospital Research Institute. She is also a member of the Djavad Mowafaghian Centre for Brain Health. PhD in Psychological & Brain Sciences, Johns Hopkins University (2013) MSc in Cognitive Science, Yonsei University (2008) BS in Psychology, Yonsei University (2006) Her research investigates the neurocognitive mechanisms of perception-action integration, focusing on temporal and spatial brain dynamics in adults and children. Key projects include: Temporal dynamics of neural communication in threat perception Ensemble vs object-level visual processing strategies Functional connectivity in developmental disorders (dyslexia, etc.) MEG decoding of language processing in pediatric populations Her recent publications (2016-2023) highlight cross-cultural emotion processing, visuomotor adaptation, and pathway-specific neural responses to emotional stimuli, with a strong emphasis on neuroimaging (MEG/fMRI) and psychophysics. She received the CIHR Spring 2025 Project Grant and leads the Interactive Mind & Movement Lab (IMM Lab), mentoring doctoral candidates, research assistants, and postdoctoral fellows in understanding brain development and perception-action links in typical and atypical populations.

Jörn Diedrichsenمشاهده پروفایل

استاد

• Computational Neuroscience
• Motor Control
• Neuroimaging
• +۳ مورد دیگر

Jörn Diedrichsen is a Professor in Computational Neuroscience at Western University, leading the Diedrichsen Lab and co-directing the Sensorimotor Superlab collaboration with Andrew Pruszynski and Paul Gribble. His research focuses on understanding motor control, cerebellar function, and applying data science techniques to neuroimaging and electrophysiological data. He holds graduate degrees in Neuroscience and Statistics from UC Berkeley and is a key figure in Western’s Data Science initiatives. Research Interests: Motor learning, cerebellum structure and function, neuroimaging analysis, statistical methods, and sensorimotor integration. The lab develops tools for cerebellar imaging and multivariate analysis, addressing questions like how the brain coordinates movements and learns new skills. Recent Articles: Recent work includes studies on muscle activity learning paradigms, cortical sequence planning areas, and cerebellar growth models. These contributions highlight advancements in understanding motor skill optimization, neural dynamics during movement, and developmental cerebellar changes. Awards: His lab’s trainees (Caroline Nettekoven, Diego Piza, Hayley Shanks) received the 2024 CAN-CIHR-INMHA Brain Star Award. He leads projects like the Raynor Cerebellar Growth Chart and collaborates on grants from CIHR, NSERC, and BrainsCAN. Advising & Grants: Supervises MSc/PhD students in Neuroscience, Computer Science, and Statistics. Current funding supports studies on motor control, cerebellar imaging, and neurodevelopmental models. Open positions emphasize interdisciplinary research in machine learning for health sciences. Labs & Teams: The Diedrichsen Lab and Sensorimotor Superlab foster collaborations across disciplines, with ongoing projects on cerebellar exclusion in research and tool-based sensory remapping. The lab actively promotes open science and methodological innovation in neuroscience.

Ani Eloyanمشاهده پروفایل

دانشیار

• Biostatistics
• Medical Imaging Data Analysis
• Machine Learning
• +۳ مورد دیگر

Ani Eloyan is an Associate Professor of Biostatistics and Vice Chair of Biostatistics at Brown University's School of Public Health. She holds a PhD from North Carolina State University (2010). Her research focuses on statistical methods for medical imaging, including matrix decomposition techniques for lesion development modeling, machine learning applications in healthcare data integration, and dimension reduction methods. She has contributed to high-impact studies like the Longitudinal Early-onset Alzheimer's Disease Study (LEADS) and has expertise in neuroimaging analysis for conditions like multiple sclerosis and autism. Teaching responsibilities include courses such as Principles of Biostatistics (PHP 1510/2510), Applied Generalized Linear Models (PHP 2514), and Doctoral Seminars in Public Health (PHP 2950). Her work spans over 29 peer-reviewed articles, with recent publications emphasizing biomarker detection, tumor heterogeneity estimation, and sensorimotor outcome analysis. While no specific awards are listed, her research has been supported through collaborative grants and institutional affiliations. Key contributions include methodological advancements in MRI analysis, functional connectivity studies using fMRI, and the application of statistical frameworks to neurodegenerative diseases. She leads interdisciplinary teams in designing longitudinal studies and integrating complex datasets for clinical insights.

• Neuroscience
• Psychiatry
• Epilepsy
• +۵ مورد دیگر

Crystal Marie Cooper is an Assistant Professor at the University of Texas at Arlington, Department of Psychology, and holds adjunct roles at UT Southwestern Medical Center and University of Texas Arlington’s Bioengineering department. She leads research on neuroimaging biomarkers in mental health, particularly focusing on adolescents with epilepsy and major depressive disorder (MDD). Her work integrates electrophysiological, neuroimaging, and clinical data to predict treatment responses and identify psychiatric subtypes. Education: PhD (2012), MS (2009), and BS (2007) in Experimental Psychology from the University of Texas at Arlington. Her postdoctoral training at UT Southwestern Medical Center focused on translational psychiatry research. Research Interests: Neuroimaging (fMRI, MEG, EEG), emotion processing, psychiatric comorbidities in epilepsy, antidepressant treatment response prediction, and biomarker discovery for mood disorders. Her recent studies leverage magnetoencephalography to map spatiotemporal neural dynamics in adolescents with epilepsy and explore reward system dysfunction in depression. Grants: Active proposals include investigations into the brain-heart connection in PTSD, emotion processing in epilepsy patients, and cognitive biomarkers of well-being in youth. Funded projects include a $100k grant from the Jordan Elizabeth Harris Foundation studying neuroimaging biomarkers in epilepsy. Awards: Recognized as a Rising Star by the Society for Biological Psychiatry (2019), New Investigator Award from the American Society of Clinical Psychopharmacology (2015), and multiple top poster awards for translational research. Advising: Supervises graduate students in clinical psychology and neuroscience, with a focus on interdisciplinary approaches combining neuroscience and mental health research. Currently advising Kathryn King (PhD candidate) on multi-modal neuroimaging studies of epilepsy patients. Labs/Teams: Principal Investigator at Cook Children’s Healthcare Systems’ Neuroscience Research department. Collaborates with the EMBARC consortium for biomarker discovery in depression treatment.

Julio C. Hernandez Pavonمشاهده پروفایل

استاد

• Neuroscience
• Biomedical Engineering
• Brain Stimulation
• +۶ مورد دیگر

Julio C. Hernandez Pavon, Ph.D., D.Sc., is a Professor in the Department of Psychological Sciences at Kansas State University (College of Arts and Sciences). He holds dual doctoral degrees in Neuroscience and Biomedical Engineering (Aalto University, Finland) and Applied Physics (Guanajuato University, Mexico). His expertise spans cognitive and computational neuroscience, brain stimulation, neuroimaging, and signal analysis, with a focus on transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG). He leads the Brain Stimulation and Neuroplasticity Laboratory, investigating human brain connectivity mechanisms and neuroplasticity induction for clinical applications in motor and language disorders, such as post-stroke recovery and Parkinson’s disease therapy. Education includes a master’s degree from the University of Guanajuato (Mexico) in collaboration with the University of Wisconsin-Madison. His research integrates advanced techniques like TMS-EEG, fMRI, diffusion tensor imaging, and peripheral electrical stimulation. Notable contributions address artifact removal in TMS-EEG data, development of open-source tools (e.g., TESA software), and systematic reviews on cortico-cortical paired associative stimulation effects. He collaborates internationally, co-authoring over 20 peer-reviewed articles in top journals such as Brain Stimulation , Clinical Neurophysiology , and NeuroImage . His work bridges fundamental neuroscience with clinical translation, emphasizing neurorehabilitation and neuromodulation strategies. Awards and honors are not explicitly listed, but his extensive publication record reflects sustained excellence in the field.

William Marshallمشاهده پروفایل

استاد

• Computational Statistics
• Neuroscience
• Causal Networks
• +۳ مورد دیگر

William Marshall is a Professor in the Department of Mathematics and Statistics at Brock University. His academic focus combines computational statistics with neuroscience applications, particularly in causal network analysis, functional connectivity measures, and linear mixed-effect models for neuroscience data. He holds a BSc from Brock University, an MMath, and a PhD from the University of Waterloo. Education: BSc (Brock University) MMath (University of Waterloo) PhD (University of Waterloo) Research interests include causal networks (e.g., integrated information in Bayesian systems), neuroimaging data analysis (fMRI, EEG), and statistical methodologies for repeated-measures experiments. His work bridges theoretical frameworks with empirical neuroscientific investigations. Publications highlight contributions to sleep neurobiology, computational tools for causal analysis (e.g., PyPhi), and synaptic plasticity studies. Recent work explores sleep deprivation effects on synapse density and myelin structure in mice. No scientific awards are explicitly mentioned in the provided text. Teaching responsibilities include courses like Mathematical Statistical Inference (MATH5P85) and Computational Statistics (MATH5P87). His research extends to collaborations with neuroscientists and interdisciplinary teams, though specific lab affiliations are not detailed here.

Sonya Baharمشاهده پروفایل

استاد

• Biophysics
• Neuroscience
• Chaos Theory
• +۴ مورد دیگر

Sonya Bahar is a Professor of Biophysics and Director of the Center for Neurodynamics at the University of Missouri-St. Louis (UMSL). Her academic roles include directing the Center for Neurodynamics and teaching in the Department of Mathematics, Physics, Astronomy and Statistics. She holds a PhD in Biochemistry and Biophysics from the University of Rochester (1997), an MS in the same field (1993), and a BS in Physics from Drexel University (1991). Her research interests focus on applying physics principles to neuroscience, chaos theory, and evolutionary models. Key areas include epilepsy research, EEG recordings, fMRI-BOLD signal analysis, and foraging behavior in species like Daphnia and paddlefish. She has pioneered studies on neural synchronization during seizures and phase transitions in biological systems. Dr. Bahar has authored over 99 publications and received prestigious awards including the 2007 Presidential Early Career Award for Scientists and Engineers (PECASE) and the 2010 Governor’s Award for Excellence in Teaching. Her work bridges interdisciplinary research, integrating nonlinear dynamics and systems biology. Her advising includes doctoral students such as Daisuke Takeshita (now at University of Tokyo), Roxana Contreras, and Nathan Dees. She oversees research projects on topics like neural synchronization in epilepsy and evolutionary dynamics in microbial populations. The Center for Neurodynamics under her leadership explores cutting-edge neuroscience and biophysics.

Loukas G Astrakasمشاهده پروفایل

استاد

• Medical Physics
• Magnetic Resonance Spectroscopy (MRS)
• Functional Magnetic Resonance Imaging (fMRI)
• +۷ مورد دیگر

Loukas G. Astrakas is Professor of Medical Physics at the University of Ioannina, School of Medicine , Greece, where he also serves as Director of the Medical Physics Laboratory at the University Hospital of Ioannina. After obtaining a B.Sc. in Physics from the University of Athens (1989), he earned a Ph.D. in Magnetic Resonance Spectroscopy from the Technical University of Athens (1999), followed by an M.Sc. in Medical Physics from the University of Patras (2014). His post-doctoral training took him to the National Centre of Scientific Research “Demokritos”, Harvard University, the Athinoula A. Martinos Center for Biomedical Imaging and Massachusetts General Hospital, Boston. He was appointed Lecturer (2009), then Assistant Professor (2013), Associate Professor (2020) and finally full Professor (2024) at the University of Ioannina. Research Focus: Professor Astrakas’ work centres on the development and clinical translation of advanced magnetic-resonance techniques—particularly magnetic-resonance spectroscopy (MRS), functional MRI (fMRI), and quantitative MRI—for non-invasive characterisation of paediatric brain tumours, epilepsy, neuro-degenerative diseases, testicular pathologies and rheumatological disorders. His research bridges fundamental physics, biomedical engineering and clinical radiology, with emphasis on metabolic imaging, voxel-based morphometry and machine-learning-assisted analysis. Publications & Impact: His 105+ peer-reviewed publications (2001–2025) map an evolving trajectory from methodological innovation in MRS and fMRI to large-scale clinical validation studies. Recurring themes include paediatric neuroradiology, neuro-oncology, and integration of imaging biomarkers with genomic data to enable precision medicine. Awards & Funding: Marie Curie Fellowship, European Commission (2004–2007) Leadership & Service: Director, Medical Physics Laboratory, University Hospital of Ioannina (2019–present) Member, NMR Surgical Laboratory, Massachusetts General Hospital (2001–present) Professor Astrakas teaches core and advanced courses in medical physics, supervises graduate research, and maintains active collaborations with Harvard Medical School, MGH, and European imaging networks, driving forward next-generation MR technologies for routine clinical care.

• Motor Learning
• Neuroscience
• EEG Analysis
• +۴ مورد دیگر

Dr. Shikha Prashad is an Assistant Professor in the Department of Kinesiology at the University of Texas at Arlington. She holds a PhD in Neuroscience and Cognitive Science from the University of Maryland, College Park, and a dual BA in Biology and Computer Science from Bryn Mawr College. Her research focuses on neural and cognitive mechanisms of motor learning in populations with dopamine dysregulation, leveraging EEG and advanced computational methods. She has held academic positions at UTA, Washington State University, and completed postdoctoral training at UT Dallas. Education: PhD in Neuroscience & Cognitive Science, University of Maryland, 2016 BA in Biology and Computer Science, Bryn Mawr College, 2009 Research Interests: Motor learning and control in aging and substance use EEG-based neural signatures of cognitive-motor processes Neuroplasticity in movement disorders Recent Awards: Rising STARs Award (UT System, 2024) Trainee Professional Development Award (Society for Neuroscience, 2019) Multiple fellowships from University of Maryland (2009–2015) Teaching & Service: Teaches courses like MOTOR CONTROL AND LEARNING Editorial Review Board Member, Journal of Motor Learning and Development Reviewer for NSF, NIH, and academic journals Labs & Collaboration: Active in interdisciplinary neuroscience research, focusing on EEG analysis and computational modeling. Collaborates with institutions like Baylor College of Medicine and the UT Dallas Center for BrainHealth.

Mari Herigstadمشاهده پروفایل

مدرس ارشد

• Carbon Monoxide Toxicity
• Physiology
• Neuroscience
• +۳ مورد دیگر

Mari Herigstad is a Senior Lecturer at the School of Biosciences and Chemistry, part of the College of Health, Wellbeing and Life Sciences at Sheffield Hallam University. She leads the Sheffield CO Research Group, focusing on the impact of carbon monoxide (CO) on physiology and pathophysiology, with a multidisciplinary approach combining MRI, EEG, and cell culture models. Her research spans cardiovascular development, neuroscience, and environmental health effects of air pollution. Education: CandMag (Biology) from Norwegian University of Science and Technology; DPhil in Physiology from the University of Oxford (2008). Postdoctoral work included studies at the Nuffield Department of Anaesthetics and Oxford Centre for Clinical Magnetic Resonance Research. Prior roles include Research Fellow at Oxford Brookes University (2014–2016) and work at the University of Sheffield (2016–2019). Teaching responsibilities include modules on Anatomy and Physiology, Neurobiology, Pathology, and Imaging Technologies. Research collaborations involve Prof Marysia Placzek (University of Sheffield) and Dr Chris Morris (University of Newcastle), with funding from the CO Research Trust and Kane International Ltd. Publications emphasize CO exposure effects on fetal development, neural activation, and COPD symptomology. Her work addresses global health concerns linked to air pollution, particularly CO's role in cardiovascular diseases and vascular dementia. Current projects investigate CO's impact on brain and cardiovascular systems using human volunteers and animal models.

• Social Neuroscience
• Social Robotics
• Neuropsychology
• +۳ مورد دیگر

Laura Jastrzab is a Lecturer at Bangor University's School of Psychology and Sport Science. She serves as Director of the Clinical and Health Psychology MSc program and Module Organiser for Professional Skills in Psychology and Theoretical Models in Clinical Psychology. Affiliations: HCPC Registered Psychologist, British Psychological Society (BPS), British Neuropsychological Society (BNS) Prior Experience: Psychologist in the US and UK Her research bridges social neuroscience/social robotics and pediatric brain injury outcomes, focusing on neuroplasticity and cognitive domain representation. Key publications include work on human-robot mental state attribution, pediatric stroke neurocognitive profiles, and neurodegenerative disease biomarkers. She supervises master's research projects and collaborates with institutions like the Cognitive Neuroscience Institute and the Institute for Wellbeing Research.

Nelson J Trujillo Barretoمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Brain Dynamics
• Neuroimaging
• +۳ مورد دیگر

Dr. Nelson J Trujillo Barreto is a Reader (Associate Professor) in Computational Neuroscience at Manchester Metropolitan University's Faculty of Health and Education. He holds a BSc (Hons) in Nuclear Physics from the Higher Institute for Nuclear Science and Technology of Havana (1995) and a PhD in Physical Sciences from Havana University (2006). Previously, he served as Head of Brain Dynamics at the Cuban Neuroscience Centre (2007-2014) and held an EPSRC Research Fellowship at the University of Manchester. His research focuses on computational modeling of brain dynamics using multimodal approaches including fMRI, EEG, and brain stimulation techniques. Key interests include: Mechanisms of motor control and movement disorders Neurological conditions (Parkinson's, MS, epilepsy) Machine learning applications in neuroscience Optimization of brain stimulation therapies His recent publications (2023-2025) demonstrate strong methodological innovation in EEG analysis, brain connectivity modeling, and clinical translation of computational neuroscience. Research consistently addresses neurodevelopmental disorders, pain perception, and hallucination mechanisms through advanced signal processing. Dr. Trujillo Barreto actively advises PhD candidates including Yuping Yang and Jessica Haigh, and maintains collaborations with leading institutions such as UCL's Functional Imaging Lab and Max Planck Institute. He serves on peer review panels for EPSRC, European Commission, and multiple international research agencies. He directs the Brain Dynamics Lab where his team integrates wireless neuroimaging, motion capture, and computational modeling to study movement disorders and develop therapeutic interventions.

• Cognitive Neuroscience
• Deception Detection
• Executive Functions
• +۳ مورد دیگر

Jennifer M. C. Vendemia is an Associate Professor in the Department of Psychology at the University of South Carolina, McCausland College of Arts and Sciences. She holds a Ph.D. in Experimental Cognitive Neuroscience from Virginia Tech (1999), with postdoctoral training at the University of Georgia. Her research focuses on deceptive behavior, stress effects on cognition, and neuroimaging techniques like fMRI and EEG. Dr. Vendemia has advised numerous students and collaborates with government agencies including the CIA, NSA, and Department of Defense. She directs the Center for Advanced Technologies for the Detection of Deception (CATDD) and led an NSF-funded Summer Research Experience in Brain and Cognitive Science. Education: Ph.D., Experimental Cognitive Neuroscience, Virginia Tech, 1999 M.A., Experimental Psychology, Hollins College, 1993 B.S., Psychology, Virginia Tech, 1992 Research Interests: Dr. Vendemia’s work integrates neuroscience with applied contexts, including deception detection, stress physiology, and cognitive modeling. She investigates neural mechanisms underlying deceptive behavior, with applications to national security and legal contexts. Her studies often combine fMRI and EEG to analyze brain activity during deception scenarios. Current projects explore sensorimotor control in chronic pain patients and the impact of stress on cognitive performance in marginalized groups. Grants & Awards: 2013: Associate Professor Career Development Award ($5,000) 2003-2012: NSF and DoD grants totaling over $5 million for deception detection research 2012-2014: NSF REU Site: Summer Research in Brain & Cognitive Sciences Advising & Teaching: Directed over 20 student theses/dissertations Teaches courses in Cognitive Neuroscience, Psychophysiology, and Ethics in Research Labs/Teams: Director of the Center for Advanced Technologies for the Detection of Deception (CATDD), and collaborator with the McCausland Center for Brain Imaging.