جست‌وجوی استاد و پژوهشگر

David J. Fieldمشاهده پروفایل

استاد

• Cognition
• Neuroscience
• Visual Perception
• +۳ مورد دیگر

David J. Field is a Professor of Psychology at Cornell University, affiliated with the College of Arts and Sciences. His research focuses on theories of sensory coding, visual processing, and the relationship between natural environmental structure and sensory system representations. He is an active member of the Graduate Field of Psychological Sciences and Human Development. His work spans computational neuroscience and visual perception, with a particular emphasis on efficient coding principles and neural responses to natural scenes. Key research interests include the spatiotemporal dynamics of visual processing, sparse coding models, and the application of advanced imaging techniques like dynamic electrode-to-image (DETI) mapping. His studies often bridge neuroscience with computer science, exploring how neural systems encode visual information efficiently. Recent publications emphasize the role of behavioral goals in shaping neural coding and the statistical properties of natural scenes. Dr. Field teaches courses such as PSYCH 3420 (Human Perception: Application to Computer Graphics, Art, and Visual Display) and contributes to graduate training programs in psychological sciences. His work has been published in top journals, reflecting a strong focus on interdisciplinary approaches to understanding perception and neural representation.

Emma Colamarinoمشاهده پروفایل

پژوهشگر

• Electroencephalographic (EEG) Signal Processing
• Electromyographic (EMG) Signal Processing
• Brain-Computer Interfaces (BCI)
• +۴ مورد دیگر

Emma Colamarino is a Researcher at the Department of Computer, Control and Management Engineering "Antonio Ruberti" of Sapienza University of Rome. She holds an M.Sc. in Biomedical Engineering (2014, cum laude) and a Ph.D. in Bioengineering (2019). Since 2015, she has been a research collaborator at the Neuroelectrical Imaging and Brain-Computer Interfaces Lab of IRCCS Fondazione Santa Lucia in Rome and served as a Visiting Ph.D. student at Imperial College London (2018). From 2019 to March 2023, she was a Post-Doctoral Fellow at Sapienza University. Her research focuses on Advanced electroencephalographic (EEG) and electromyographic (EMG) signal processing Brain-Computer Interface (BCI) protocols for cerebral function recovery Machine learning in neurorehabilitation Hybrid BCIs integrating cortico-muscular networks Recent publications address stroke rehabilitation, BCI design, spectral graph theory, and EMG-EEG integration. Her work spans biomedical data analysis, neuroengineering, and rehabilitation technology validation. Scientific awards include multiple grants from Sapienza University and the Italian Ministry of Health, a Student Award at the 7th International BCI Meeting (2018), and recognition as a Subject Expert (2019). She has supervised/co-supervised 18 MD theses across Biomedical, Management, and Robotics Engineering disciplines.

Vishal Jainمشاهده پروفایل

پژوهشگر

• Neuroscience
• Neurotechnology
• Brain-Computer Interface
• +۴ مورد دیگر

Vishal Jain is a Research Scientist at Carnegie Mellon University's College of Engineering, Department of Electrical and Computer Engineering. He works in the Chamanzar Lab, developing novel neuroelectric and neurophotonic technologies for basic neuroscience research and brain-computer interface (BCI) applications. Education: PhD in Cognitive and Molecular Neuroscience from Bharathiar University, India His research focuses on creating non-invasive brain stimulation methods with submillimeter resolution, studying neural circuitry changes through electrophysiology and optical imaging in both ex-vivo and in-vivo models. Recent work emphasizes implantable neural probes, electro-optic sensors, and transcranial stimulation optimization. Scientific publications reveal a strong focus on neural interface technologies (2021-2025), with interdisciplinary applications spanning cognitive neuroscience, neurosurgery, and biomedical engineering. Key themes include brain stimulation, neurochemical modulation, and neural signal processing.

• Physical Fitness Assessment
• Effects of Exercise on Physical and Mental Health
• Gamification in Education
• +۱ مورد دیگر

Dr. José Mora González is an Assistant Professor at the Faculty of Sports Sciences, University of Granada, Spain. He serves in the Department of Physical Education and Sports and is a member of the PROFITH research group. His career includes postdoctoral research at the University of North Carolina at Charlotte under NIH funding and Andalusian government contracts. Education: PhD in Physical Activity and Health (University of Granada, 2019), BSc in Physical Activity and Sports Sciences (University of Granada, 2013) His research focuses on physical fitness assessment , exercise effects on neurocognitive development in children and elderly, gamification for health education , and pedagogical strategies in physical education . Recent work explores how low-cadence walking impacts brain-derived neurotrophic factors in obese children. Publications span neuroscience , health technology validation , and gamified education interventions . Key contributions include establishing evidence for exercise-induced cognitive improvements and developing reference standards for wearable fitness trackers. Scientific Awards: FPU Scholarship (2014) NIH-funded postdoctoral contract (2020) Andalusian Government postdoctoral contract (2021) His work bridges laboratory neuroscience research (e.g., sLORETA brain imaging) with practical educational implementations, particularly through innovative gamification frameworks like the STAR WARS-themed health program for university students.

• Geriatric Psychiatry
• Alzheimer’s Disease
• Dementia Research
• +۴ مورد دیگر

Sonia Pawluczyk, MD is a Clinical Assistant Professor (Part-Time) in the Department of Psychiatry and Behavioral Sciences at the University of Southern California (USC). She has held this position since 1991 and is affiliated with the USC Memory and Aging Center and Rancho Los Amigos Hospital. Dr. Pawluczyk completed her MD at the University of Buenos Aires Medical School, followed by psychiatry residency at LAC+USC Medical Center and fellowships in Psychiatry & Law and Geriatric Psychiatry. Her research focuses on geriatric psychiatry, Alzheimer’s disease, dementia diagnosis, and clinical trial methodologies for neurodegenerative disorders. She has pioneered cross-cultural assessment tools for Spanish-speaking Alzheimer’s patients and contributed to pharmacokinetic studies of novel Alzheimer’s therapies. Her work integrates neuroimaging, genetic analysis, and healthcare data analytics to address aging-related neurological challenges. Dr. Pawluczyk has authored over 15 peer-reviewed articles spanning 40 years of practice, with recent contributions emphasizing functional connectivity in cognitive decline and regenerative therapeutics. Her clinical expertise spans behavioral symptom management in dementia, pharmacotherapy optimization, and neuropharmacological interventions. She also addresses healthcare disparities through bilingual assessment protocols and culturally adapted clinical trials.

• Brain and cognitive aging
• Alzheimer's disease
• Vascular cognitive impairment
• +۴ مورد دیگر

Andreana Miquela Benitez, PhD, is an Associate Professor in the Department of Neurology at the Medical University of South Carolina's College of Medicine. Her research focuses on brain aging mechanisms, Alzheimer's disease, and vascular cognitive impairment. She leads studies using advanced neuroimaging techniques like diffusion MRI and functional connectivity analysis to understand cognitive decline pathways. Current projects include: Quantitative neuroimaging of white matter integrity in aging and Alzheimer's Non-invasive brain stimulation trials for mild cognitive impairment Investigating cannabis use impacts on older adults' cognition and stress reactivity Geospatial analysis of Alzheimer's prevalence linked to healthcare policies Her lab develops novel imaging analysis tools like PyDesigner for diffusion MRI processing. Dr. Benitez collaborates across disciplines to address neurodegenerative disease mechanisms and interventions. She has pioneered studies linking oral microbiome changes to neurological disorders through cannabis use.

• Psychiatry
• Schizophrenia Spectrum Disorders
• Psychosis Research
• +۳ مورد دیگر

Kyung-Heup Ahn, MD, is an Assistant Professor of Psychiatry at the Yale School of Medicine, Yale University. His research focuses on schizophrenia spectrum disorders, affective psychosis, and the neurobiological mechanisms underlying these conditions, with particular emphasis on GABAergic and glutamatergic systems. He holds appointments in Psychiatry and is affiliated with Yale Medicine and Yale Ventures. Dr. Ahn received his MD from Seoul National University in 1996, followed by residency training at Yale University and Georgetown University, and a psychopharmacology fellowship at Yale. Research Interests Neurotransmitter dysfunction in schizophrenia (GABA, NMDA receptors) Psychotomimetic effects of drugs (amphetamine, ketamine) Cognitive deficits and biomarkers in psychiatric disorders His publications explore GABA deficits' role in psychosis, nicotine's impact on ketamine-induced symptoms, and neuroimaging correlates of bipolar disorder. Notably, he co-led a schizophrenia PET study as a sub-investigator, contributing to mechanistic insights in psychosis research. Dr. Ahn has been recognized with the 2009 NARSAD Young Investigator Award for his work. Grants & Clinical Trials "Schizophrenia PET Study" (HIC ID: 2000031171) investigating neurochemical mechanisms in schizophrenia

Mayra Bittencourtمشاهده پروفایل

پژوهشگر

• Neuroimaging
• Neurosciences
• Biomedical Engineering
• +۳ مورد دیگر

Dr. Mayra Bittencourt is a researcher affiliated with the Faculty of Medical Sciences at the University of Groningen. Her work focuses on understanding neurological consequences of mild traumatic brain injury (mTBI) in elderly populations through advanced neuroimaging techniques such as EEG, MEG, and fMRI. Specializing in cognitive reserve mechanisms and brain network connectivity, her research explores how aging interacts with traumatic brain injury outcomes. She has contributed to developing prognostic models using machine learning approaches and has published extensively on ERP measures, resting-state connectivity disruptions, and clinical predictors of recovery. PhD: University of Groningen (2022), thesis titled 'Mild traumatic brain injury at older age: Patterns in clinical and neuroimaging data' Her research interests span neuroimaging methodologies, cognitive reserve theory, and translational neurology with a focus on geriatric populations. She leads the ReCONNECT-study investigating recovery and connectivity in elderly after cerebral trauma. Key contributions include identifying ERP biomarkers for mTBI outcomes and advancing understanding of age-related vulnerabilities in brain networks. Publications highlight interdisciplinary approaches combining clinical neuroscience, neuroimaging, and machine learning to address unmet needs in elderly neurotrauma care. Active collaborations with neurology, biomedical engineering, and clinical psychology experts drive her translational research agenda.

Zoya Leonenkoمشاهده پروفایل

استاد

• Biophysics
• Neurodegenerative Diseases
• Membrane Biology
• +۳ مورد دیگر

Zoya Leonenko is a Professor and University Research Chair at the University of Waterloo , affiliated with the Department of Physics and Astronomy. Her research focuses on biophysical mechanisms of neurodegenerative diseases , particularly Alzheimer's, emphasizing lipid membrane interactions and amyloid-beta toxicity. She employs advanced techniques such as atomic force microscopy (AFM), Kelvin probe force microscopy (KPFM), and localized surface plasmon resonance (LSPR) to investigate molecular-scale phenomena. Her work explores the role of melatonin, trehalose, and lithium isotopes in mitigating amyloid-induced membrane damage. Notable contributions include studies on mitochondrial ion transport, lipid nanodomain formation, and the quantum effects of lithium isotopes in neuronal activity. She leads the Leonenko Research Group , advancing interdisciplinary research at the interface of physics, chemistry, and neuroscience. Research Highlights: Developed novel methods to quantify amyloid-membrane interactions using AFM and LSPR. Discovered lithium isotope effects on mitochondrial ion channels, suggesting quantum biology implications. Identified melatonin's role in stabilizing lipid membranes against amyloid toxicity. Future Work: Expanding studies on neuroprotective agents, lipid membrane dynamics in disease, and quantum effects in neurobiology.

Trong-Kha Truongمشاهده پروفایل

دانشیار

• MRI Coil Technologies
• Diffusion MRI
• Neurological Disorders
• +۳ مورد دیگر

Trong-Kha Truong is an Associate Professor in Radiology at Duke University and a core faculty member of the Center for Brain Imaging and Analysis. He co-leads the MR Engineering Lab, focusing on developing advanced MRI coil technologies such as iPRES (integrated parallel reception, excitation, and shimming) and iRFW (integrated radio-frequency/wireless) coils. His research enhances MRI applications in brain and body imaging, particularly in diffusion MRI for neurological disorders like Alzheimer’s. Key innovations include localized B0 shimming, wireless communication in MRI systems, and high-resolution diffusion techniques. His work spans grants from the National Institutes of Health, National Institute of Biomedical Imaging and Bioengineering, and industry partnerships like GE Healthcare. Notable projects include wireless MRI systems, high-resolution spinal cord imaging, and diffusion MRI for pediatric cerebral palsy. Research interests revolve around MRI hardware innovation, including flexible coil arrays, wireless data transfer, and B0 shimming to improve image quality. His lab’s contributions address challenges in clinical utility and microstructural analysis of brain tissues. Trong-Kha Truong’s academic trajectory includes prior roles as Assistant Professor and Medical Center Instructor in Radiology. He teaches MEDPHY 735: Advanced Topics in Magnetic Resonance Imaging and collaborates with Duke’s Brain Imaging and Analysis Center to advance translational MRI technologies.

Matthew Pontifexمشاهده پروفایل

استاد

• Developmental Neurocognition
• Physical Activity and Cognition
• Health Behaviors and Academic Performance
• +۳ مورد دیگر

Matthew Pontifex is a Professor in the Department of Kinesiology at Michigan State University's College of Education. He holds a Ph.D. from the University of Illinois, Urbana-Champaign. His research focuses on developmental neurocognitive kinesiology, examining how health-oriented behaviors like physical activity influence cognitive function during preadolescence. He uses behavioral and neuroelectric measures to study the modulation of cognitive control, particularly in chronic and acute contexts. Key research interests include the application of health behaviors to improve academic performance and neural network maturation in both typically developing children and those with cognitive disorders. His work bridges kinesiology, neuroscience, and developmental psychology. Lab/Team: His lab's activities are centered at http://education.msu.edu/kin/hbcl/ .

Oleg Favorovمشاهده پروفایل

استاد پژوهشی

• Biomedical Imaging
• Neuroscience
• Machine Learning
• +۳ مورد دیگر

Oleg Favorov is a Research Professor at the University of North Carolina at Chapel Hill (UNC), specializing in biomedical imaging and neuroscientific research. His work focuses on neural bases of perception, cortical information processing, and computational algorithms for analyzing biomedical data. He leads a research group exploring the relationship between neuroelectrical activity in the somatosensory cortex and tactile perception, alongside developing advanced signal processing techniques. Dr. Favorov holds a PhD in Physiology from UNC and a BS in Physical Anthropology from Moscow State University. His research integrates experimental neurophysiology, mathematical modeling, and machine learning to uncover how the brain processes sensory information and recognizes complex patterns. Key contributions include novel algorithms for feature extraction, contextually guided neural networks, and diagnostic tools for mild traumatic brain injury (mTBI). His publications span topics such as tactile texture classification, neurovascular imaging, and wearable sensor applications. Dr. Favorov collaborates across disciplines, applying computational methods to clinical challenges like mTBI rehabilitation and affective disorder monitoring. His work emphasizes translational research, bridging basic neuroscience with practical diagnostics and therapeutic development. Notable projects include the CAMP study protocol for evaluating mTBI recovery and the development of the Portable Warrior Test (POWAR) for tactical agility assessment. His lab also pioneers tools like thermal tactile stimulators and smartwatch-based affective switching metrics, demonstrating interdisciplinary impact in both academia and clinical practice.

Parag Chitnisمشاهده پروفایل

دانشیار

• Medical Ultrasonics
• Photoacoustics
• Biomedical Imaging
• +۴ مورد دیگر

Parag Chitnis is an Associate Professor in the Department of Bioengineering at George Mason University's College of Engineering, where he has served since Fall 2014. He also acts as Principal Investigator at the Krasnow Institute of Advanced Study, focusing on systems science and bioengineering innovation through interdisciplinary research. PhD, Mechanical Engineering - Boston University MS, Mechanical Engineering - Boston University BS, Engineering Physics and Mathematics - West Virginia Wesleyan College His research centers on medical ultrasonics and photoacoustics, pioneering non-invasive biomedical imaging techniques for tissue characterization, tumor detection, and neural signal monitoring. He integrates DNA-based nanosensors, NIR-II fluorescent probes, and machine learning algorithms to advance diagnostic precision. Recent articles highlight innovations in photoacoustic tomography, wearable ultrasound systems, and ultrasound-responsive drug delivery. Key trends include transcranial imaging, vascular mapping, and real-time muscle fatigue monitoring using portable devices. His work extends to the Center for Advancing Systems Science and Bioengineering Innovation (CASSBI), with clinical collaborations focused on pelvic floor elastography, neuroinflammation diagnostics, and implantable device actuation via ultrasound.

Jlenia Toppiمشاهده پروفایل

دانشیار

• Biomedical Signal Processing
• EEG Signal Processing
• Brain Connectivity
• +۶ مورد دیگر

Jlenia Toppi is an Associate Professor at the Department of Computer, Control and Management Engineering, Sapienza University of Rome. With a background in Biomedical Engineering (B.Sc. and M.Sc. summa cum laude from University of Rome, Ph.D. from University of Bologna), she leads research at the Neuroelectrical Imaging and BCI Laboratory, IRCCS Fondazione Santa Lucia, focusing on EEG signal processing, brain connectivity modeling, and graph theory applications in cognitive and clinical neuroscience. Education: B.Sc. Clinical Engineering (2006), M.Sc. Biomedical Engineering (2009), Ph.D. Biomedical Engineering (2013) Awards: IEEE EMBC Student Paper Finalist (2012), Young Bioingegneria Award (2012), IEEE EMBS Best Poster (2011) Her research develops advanced EEG methodologies for brain mapping and dynamic connectivity estimation , applied to disorders of consciousness, stroke rehabilitation, and social neuroscience. She pioneered hyperscanning EEG for interpersonal brain-to-brain analysis and contributed to BCI systems like RECOM and The Promotoer. Recent publications highlight her work on hybrid BCI rehabilitation , muscle synergy extraction , and multi-modal assessment of therapeutic interventions . She serves as editor for Computation and Mathematical Methods in Medicine and collaborates with international projects including Horizon 2020.

• Addiction Neuroscience
• Adolescent Brain Development
• Neuroimaging
• +۳ مورد دیگر

Susan Tapert, PhD, is a Distinguished Professor of Psychiatry at the University of California, San Diego School of Health Sciences. She directs groundbreaking longitudinal studies including the Adolescent Brain Cognitive Development (ABCD) study and National Consortium on Alcohol and Neurodevelopment in Adolescence-Adulthood (NCANDA-A), where she serves as Associate Director/Site PI and Co-Director/Site PI respectively. Previously, she held leadership as Vice Chair of Academic Affairs (2019-2024) in her department. Her NIH-funded research program examines neural risk factors and consequences of adolescent substance use through advanced neuroimaging and neuropsychological methods. Key focus areas include: Impact of alcohol, cannabis, and polysubstance use on developing brain systems Neurocognitive predictors of addiction trajectories Adolescent brain maturation in typical and high-risk populations Pandemic effects on youth mental health and behavior Her 275+ publications demonstrate consistent focus on substance use neurobiology, adolescent development, and methodological innovation. Recent work (2024-2025) emphasizes multimodal brain imaging, wearable technology validation, digital phenotyping, and machine learning approaches to predict risk. Major honors include: Research.com 2022 Best Female Scientist Award American College of Neuropsychopharmacology’s Julius Axelrod Mentorship Award (2022) American Academy of Child & Adolescent Psychiatry Outstanding Mentor Award (2021, 2016) Research Society on Alcoholism Marlatt Mentorship Award (2019) She leads federally funded investigations including ABCD ($34M+), NCANDA ($26M+), and predictive modeling grants. Her mentorship extends through NIH training grants and leadership roles in national consortia.