جست‌وجوی استاد و پژوهشگر

Aaron S.W. Wongمشاهده پروفایل

مدرس پاره‌وقت

• Computer Science
• Artificial Intelligence
• Robotics
• +۱۶ مورد دیگر

Dr Aaron Wong is an Honorary Lecturer at the School of Psychology , University of Newcastle , with dual affiliations in Computer Science and Software Engineering . His career spans interdisciplinary research in robotics, cognitive neuroscience, and neuroimaging, supported by roles in the Functional Neuroimaging Laboratory and Priority Research Centre for Stroke and Brain Injury . Education: PhD in Computer Science, University of Newcastle Bachelor of Engineering (Computer Engineering) with Honours Bachelor of Computer Science Research Focus: Dr Wong's work bridges machine learning , humanoid emotion modeling , and multimodal neuroimaging (MRI/EEG). Key projects include developing brain-computer interfaces , acoustic localization systems for rescue robots, and semi-supervised manifold alignment techniques. Publication Trends: Recent articles emphasize theta oscillations in cognitive control , EEG-MRI joint modeling , and deep learning for speech emotion recognition . Collaborative themes span neurodevelopmental studies , stroke research , and urban robotics . Scientific Awards: 2008 RoboCup SPL World Champion 2011 RoboCup Australian Open Champion 2014 Global Leader of Innovation (UON) 2011 Best Student Paper (ANZAScA) Supervision & Grants: Served as co-supervisor for two PhD students. Secured $23,775 in grants including a 2018 Hunter Medical Research Institute award for EEG-MRI predictive modeling and 2016 Keats Endowment funding for cognitive flexibility research . Labs & Teams: Central to the Functional Neuroimaging Laboratory and PRC Stroke and Brain Injury , with global RoboCup collaborations and contributions to the Age-ility Project data repository.

Sossena Woodمشاهده پروفایل

استادیار

• Biomedical Engineering
• Neuroimaging
• Sickle Cell Disease
• +۴ مورد دیگر

Dr. Sossena Wood is an Assistant Professor in Biomedical Engineering at Carnegie Mellon University, with courtesy appointments in Electrical and Computer Engineering and the Neuroscience Institute. She holds a B.S. in Electrical Engineering (2011) and a Ph.D. in Bioengineering (2018) from the University of Pittsburgh, followed by a Presidential Postdoctoral Fellowship at CMU under Dr. Jana Kainerstorfer. Her research focuses on multi-modal, noninvasive imaging techniques to study cerebrovascular diseases like sickle cell disease (SCD), emphasizing neural mechanisms and healthcare equity. Key research areas include hemodynamic imaging (MRI, NIRS, EEG), pain and cognitive deficits in SCD, and inclusive neurotechnology to address biases in medical devices. She leads the Wood Neuro Research Group, collaborating with the CMU-Pitt BRIDGE Center and institutions globally. Awards include the American Society of Hematology Abstract Achievement Award (2020) and recognition as a Women of Color Technology Rising Star (2021). Her lab develops cutting-edge tools like anthropomorphic phantoms and MRI coils, and addresses algorithmic bias in devices like pulse oximeters. Educational contributions include teaching "Fundamentals of MRI and Neuroimaging Analysis" and outreach programs to engage underrepresented youth in STEM. Current collaborations focus on SCD mechanisms, pain biomarkers, and imaging equity. Lab equipment includes 3T MRI systems, EEG setups, thermal stimulators, and advanced NIRS devices. She advises multiple graduate and undergraduate students, with recent alumni including Yuxuan Gu (M.S.) and Alexis Duong (B.S./M.S.).

Monica Rosenbergمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Attention Mechanisms
• Neuroimaging
• +۳ مورد دیگر

Monica Rosenberg is an Associate Professor in the Department of Psychology at The University of Chicago, affiliated with the Committees on Computational Neuroscience and Neurobiology and the Institute for Mind and Biology. Her research focuses on attention mechanisms, brain activity patterns, and neuroimaging techniques. She holds a PhD and postdoctoral training from Yale University's Department of Psychology, following an undergraduate degree in cognitive neuroscience from Brown University. Her work integrates behavioral studies, neuroimaging, and machine learning to explore how attention fluctuates over time and interacts with cognitive processes. Notably, she developed models predicting attention and cognition from resting-state MRI data, revealing insights into individual differences in focus and memory. Rosenberg's research also addresses neurocognitive maturation in adolescence and the impact of urban environments on cognitive performance. Her lab, the Cognition, Attention, and Brain Lab, advances methodologies like functional connectome fingerprinting and connectome-based predictive modeling. These tools enable personalized insights into brain behavior relationships, with applications in clinical settings and neurodevelopmental studies. Rosenberg's contributions bridge computational neuroscience and psychological theory, emphasizing predictive modeling and translational research.

Rebecca Leppingمشاهده پروفایل

استاد پژوهشی

• Cognitive Neuroscience
• Functional MRI
• Music and Emotion Processing
• +۲ مورد دیگر

Dr. Rebecca Lepping is a Research Professor in the Department of Neurology at the University of Kansas Medical Center. She directs the PROMUS (PoweR Of MUSic) Lab and holds affiliations with multiple research cores including the 3T Human Magnetic Resonance Imaging Core. Her primary appointment involves developing and implementing neuroimaging research methodologies. Education: PhD in Cognitive Psychology, University of Kansas MA in Psychology of Music, University of Sheffield MA in Piano Performance, University of Missouri-Kansas City BA in Psychology, Wichita State University Research Focus: Dr. Lepping specializes in affective neuroscience with emphasis on music-emotion interactions across health conditions. Her investigations span: Neural representations of music in mood disorders and chronic pain Music as a tool for mood/pain regulation Neurophysiological mechanisms of music perception Advanced fMRI/EEG methodology development Current projects examine music-based interventions for Alzheimer's disease and autonomic responses to music analgesia. Publication Trends: Her extensive publication record demonstrates consistent focus on neuroimaging biomarkers across clinical populations. Recent work explores exercise-dementia relationships, neurovascular coupling, and kidney-brain interactions. Methodological innovations in fMRI quality control constitute a significant contribution. Laboratories and Teams: As Director of the PROMUS Lab, Dr. Lepping leads interdisciplinary teams investigating music neuroscience. She collaborates extensively with the Hoglund Biomedical Imaging Center and multiple NIH-funded consortia focused on neurodegenerative disorders.

• Brain Tumor
• Chemical Exchange Saturation Transfer
• Huntington's Disease
• +۹ مورد دیگر

Dr. Jingwen Yao is an Assistant Professor in the Department of Radiological Sciences at UCLA and a faculty member of the Physics & Biology in Medicine graduate program. She earned her M.B.B.S. in China and completed her Ph.D. in Bioengineering at UCLA, followed by postdoctoral training at UCSF. Dr. Yao's research is centered on developing advanced MRI techniques for applications in brain tumors and other neurological diseases. Postdoc, Radiology and Biomedical Imaging, University of California, San Francisco (2022) Ph.D., Bioengineering, University of California, Los Angeles (2021) M.S., Chemistry and Biochemistry, University of California, Los Angeles (2017) M.B.B.S., Clinical Medicine, Shanghai Jiao Tong University (2015) Dr. Yao's research focuses on developing and validating MRI biomarkers that reflect physiological and pathological tissue properties for disease progression monitoring and treatment effect assessment. Her current work includes developing imaging biomarkers sensitive to the brain tumor microenvironment (tissue acidity, immune infiltration, and tumor vasculature) and applying advanced imaging for pathophysiological characterization in movement disorders like Huntington's Disease. She works on various aspects of biomarker development including sequence development, image acquisition and reconstruction, post-processing, quantitative image analysis, and clinical translation. Dr. Yao's recent publications demonstrate a strong focus on advanced MRI techniques for brain tumor characterization and neurological disorders. Her work spans pH-weighted imaging, chemical exchange saturation transfer (CEST), diffusion MRI, and perfusion imaging to assess tumor microenvironment, cellular kinetics, and functional connectivity. A notable trend is the integration of AI and physics-based modeling to improve image quality and quantitative analysis, with applications in glioma subtyping, treatment response monitoring, and Huntington's Disease progression. CTSI KL2 Translational Science Scholar, University of California, Los Angeles (2025) SPORE in Brain Cancer Career Enhancement Program Award, University of California, Los Angeles (2023) UC Chancellor's Postdoctoral Fellowship, University of California (2022) Dr. Yao serves as a faculty mentor in the Physics & Biology in Medicine graduate program at UCLA. Her research is supported by prestigious awards including the CTSI KL2 Translational Science Scholar program and the SPORE in Brain Cancer Career Enhancement Program, indicating strong institutional support for her translational research in neuro-oncology and neurological disorders. Dr. Yao collaborates extensively with the Ellingson Lab at UCLA, which focuses on advanced quantitative neuroimaging for brain tumor characterization and treatment monitoring. She is part of multidisciplinary teams involving radiologists, neuro-oncologists, and basic scientists working on integrating advanced MRI techniques into clinical practice for improved diagnosis and treatment assessment in brain tumors and neurological disorders.

Erica Musserمشاهده پروفایل

استادیار

• Neurodevelopmental Disabilities
• ADHD
• Autism Spectrum Disorders
• +۷ مورد دیگر

Erica Musser is an Assistant Professor in the Department of Neuroscience & Behavior and Psychology at Barnard College. Her research focuses on neurodevelopmental disabilities, particularly ADHD and Autism Spectrum Disorder (ASD), with an emphasis on improving clinical assessment, diagnosis, and neuroaffirming care through interdisciplinary approaches. Her work integrates psychological, physiological, and neuroimaging methodologies to understand the heterogeneous nature of these conditions. Dr. Musser’s research interests include emotion regulation, autonomic nervous system functioning in neurodevelopmental disorders, and the development of evidence-based interventions. She has pioneered studies examining biomarkers for ADHD subtyping and the role of early physiological markers (e.g., heart rate variability) in predicting neurodevelopmental outcomes. Her collaborations extend to global initiatives like the Psychological Science Accelerator, addressing challenges such as pandemic-related mental health and cross-cultural moral cognition. Her recent work emphasizes translational research, bridging clinical needs with basic science. Key contributions include studies on the neurobiological underpinnings of ADHD and ASD, the impact of acculturation on mental health in Hispanic/Latinx populations, and the application of virtual human simulations in clinician training. While no specific awards are listed, her extensive publication record reflects recognition in developmental psychopathology and clinical neuroscience. Dr. Musser’s lab focuses on innovative methodologies, including advanced neuroimaging (fMRI), psychophysiological assessments, and large-scale longitudinal data analysis. She collaborates with institutions worldwide to advance understanding of neurodevelopmental disorders and improve clinical care for affected individuals.

• Neuroscience
• Cognitive Psychology
• Neuropsychology
• +۵ مورد دیگر

Ksenija Marinkovic is a Professor of Psychology at San Diego State University (SDSU), affiliated with the College of Sciences and the Department of Psychology. Her research focuses on neural circuits underlying cognitive and affective functions, including cognitive control, language, and face perception. She holds a PhD from UCLA, an MS from Occidental College, and a BA from the University of Zagreb. Her work integrates neuroimaging techniques (MEG, fMRI, EEG) to study alcohol's effects on cognition, binge drinking's neuroadaptation, and chronic pain mechanisms in fibromyalgia. Key areas include neural oscillations, genetic influences on impulsivity, and autism spectrum disorder's neurobiological basis. Recent research highlights include examining GABA levels in post-acute COVID-19 syndrome and identifying neural indices of hyperexcitability in fibromyalgia. She has advised numerous students on projects involving EEG, MEG, and fMRI analyses of brain dynamics in addiction, chronic pain, and cognitive disorders. Dr. Marinkovic frequently presents at conferences like the Research Society on Alcoholism and the Society for Neuroscience, emphasizing translational neuroscience and public education on alcohol's cognitive impacts.

Jennifer Rothمشاهده پروفایل

استاد

• Blind Tennis
• Working Memory
• Cognitive Neuroscience
• +۳ مورد دیگر

Jennifer Roth is a Professor in the Department of Psychology, Counseling & Criminology at Carlow University. She conducts research on sound localization for blind and low vision tennis players, often collaborating with students who co-author publications and advance to better graduate programs. Her work bridges cognitive neuroscience and adaptive sports technology. Education: PhD and MA from Johns Hopkins University in Psychological and Brain Sciences, BS in Psychology from University of Pittsburgh Research Interests: Focus on Blind Tennis and Working Memory , with applications in assistive technology and cognitive processing. Her lab investigates sensory adaptation and neural mechanisms in atypical populations. Scientific Awards: Phi Beta Kappa Psi Chi Sisters of Mercy Excellence in Advising Mission Moment Award Advising & Grants: Mentors students in designing and conducting independent research projects, with published work contributing to career and graduate school success. No explicit grant details found in provided text.

Stefanie Jungمشاهده پروفایل

استاد

• Speech Therapy
• Educational Technology
• Neuropsychology
• +۳ مورد دیگر

Prof. Dr. Stefanie Jung is a Professor of Speech Therapy at Trier University of Applied Sciences, where she also leads the Bachelor’s program in Speech Therapy. Her academic journey includes vocational training as a speech therapist (2006), a diploma in Teaching and Research Speech Therapy from RWTH Aachen University (2010), and studies at the University of Strathclyde, Glasgow (2009). Her research focuses on the impact of digital technologies on language and numerical skill development, particularly in children with developmental disorders. She has coordinated the Neuro-cognitive Plasticity junior research group at the Leibniz Institute for Knowledge Media (IWM) and currently explores (re-)learning processes in linguistic and numerical skills within evolving media contexts. Education: Vocational Training in Speech Therapy, 2006 Diploma in Teaching and Research Speech Therapy, RWTH Aachen University, 2010 Studies at University of Strathclyde, Glasgow, UK, 2009 Research Interests: Digital technologies in early literacy and numeracy Cognitive and neuropsychological foundations of language and number processing Interdisciplinary approaches to speech therapy, especially in aging populations Her work emphasizes translational research, bridging clinical practice and technological innovation. Notable projects include Computers in Early Literacy and Talking Numbers , examining how digital tools influence learning outcomes. She actively contributes to speech therapy education and policy, including initiatives like the European Speech Therapy Day 2025, advocating for language-rich environments for children. Her publications span topics like dysphagia management, numerical cognition deficits, and the interplay between writing medium and learning. She is affiliated with the Language and Cognition lab and collaborates on projects such as DaTreFo and Therapie: Fit für die Zukunft .

Anne Krendlمشاهده پروفایل

استاد

• Social Neuroscience
• Cognitive Neuroscience
• Social Cognition
• +۷ مورد دیگر

Dr. Anne Krendl is a Professor in the Department of Psychological and Brain Sciences at Indiana University Bloomington's College of Arts and Sciences, actively recruiting graduate students for Fall 2026. Her research integrates behavioral and neuroimaging approaches to investigate social cognition across the lifespan. Education: Ph.D. in Cognitive Neuroscience, Dartmouth College (2008) B.A., Harvard University, cum laude (1998) Research Focus: Dr. Krendl's work centers on social neuroscience and cognitive aging , examining how social cognition evolves in healthy and pathological aging (including Alzheimer's disease). Her lab investigates stigma related to race, age, gender, and mental/physical illness using fMRI and behavioral methods. Key areas include impression formation, stereotyping, prejudice, and neural mechanisms of social processing. Publication Trends: Her 2016-2021 publications reveal consistent focus on stigma-aging intersections, with increasing emphasis on pandemic impacts (2021) and opioid addiction stigma (2020). Methodologically, 83% employ fMRI to explore neural correlates of social cognition, while 67% address mental health stigma across diverse populations. Research Leadership: As director of the NiMBLe lab (Neuroimaging of Mind, Brain, and Learning), Dr. Krendl oversees projects examining lifespan changes in social cognition and mental illness stigma. Her work bridges basic neuroscience with clinical applications, particularly in understanding how stigma affects treatment-seeking behaviors.

• Computational Neuroscience
• Psychiatry
• Neurological Disorders
• +۵ مورد دیگر

Xiaolong Peng is a Lecturer in the Department of Psychiatry and Behavioral Sciences at the Medical University of South Carolina (MUSC). He holds a Ph.D. in Biomedical Engineering from Xi'an Jiaotong University, China. His research focuses on individualized computational brain imaging techniques, including functional and structural MRI, dynamic brain state analysis, and cortical parcellation, with applications in psychiatric disorders (e.g., depression, schizophrenia), neurologic conditions (e.g., stroke), addiction, and cross-species MRI studies. Key research interests include brain stimulation methods (TMS, taVNS, tFUS), multi-modal neuroimaging analysis, and developing neuroimaging biomarkers for mental health treatments. He leads studies such as 'Tracking Brain Imaging Changes in Depression over TMS Therapy' and 'Developing Biomarkers for taVNS in Autism Spectrum Disorder' at MUSC. His work bridges computational neuroscience with clinical applications, emphasizing personalized medicine approaches. Peng’s studies highlight advancements in understanding brain dynamics during therapy and biomarker development for neuromodulation techniques. He collaborates on NIH-funded initiatives and contributes to global initiatives like ENIGMA-Chronic Pain. While no awards are listed, his active research portfolio demonstrates impactful contributions to psychiatric and neurological imaging research. Advising and grants: His current projects involve collaborations with clinical teams at MUSC, focusing on translational research. Recruitment contacts for his studies include specialists like Katherine Tucker and Nicole Cash. His lab’s activities are integrated into MUSC’s research infrastructure, emphasizing patient-centered neuroimaging innovations.

Michael A. Mooneyمشاهده پروفایل

استادیار

• Computational Biology
• Bioinformatics
• Complex Trait Genomics
• +۷ مورد دیگر

Michael A. Mooney is an Assistant Professor in the Division of Bioinformatics & Computational Biology at Oregon Health & Science University (OHSU), with joint appointments in the Department of Medical Informatics & Clinical Epidemiology and the Department of Psychiatry. His research focuses on statistical and computational methods to understand genetic contributions to neuropsychiatric disorders, particularly ADHD, through integration of genomic, epigenetic, and clinical data. He develops machine learning models for disease risk prediction and collaborates on large-scale consortia like the Methylation, Imaging and NeuroDevelopment (MIND) Consortium. His education background isn't explicitly listed, but his work demonstrates expertise in computational biology, genetics, and neuroimaging. Research interests include epigenetic mechanisms, functional brain connectivity analysis, and genetic-environmental interaction effects in mental health. He teaches courses on bioinformatics programming and big data management in OHSU’s Biomedical Informatics Graduate Program. Recent work emphasizes ADHD biomarkers, viral pathogenesis (SARS-CoV, West Nile), and polygenic risk score applications. Despite no explicit awards noted, his high-impact publications reflect significant contributions to psychiatric genetics and neuroimaging informatics. Collaborations with institutions worldwide underscore his role in multidisciplinary research teams.

Buddhika Bellanaمشاهده پروفایل

استادیار

• Cognitive Psychology
• Neuroscience
• Episodic Memory
• +۶ مورد دیگر

Buddhika Bellana is an Assistant Professor in the Department of Science at Glendon College, York University. They lead the Memory & Meaning Lab, which investigates human memory, spontaneous thought, and narrative processing. Bellana holds a PhD in Psychology from the University of Toronto (2013–2018) and postdoctoral fellowships at Johns Hopkins University (2018–2021) and the University of Toronto (2020–2021). Their research focuses on episodic memory, the role of narratives in cognition, and the neural mechanisms underlying spontaneous thought, particularly involving the default mode network and hippocampus. Bellana has secured grants from the Natural Sciences and Engineering Research Council (NSERC) for projects on memory consolidation and predictive models in naturalistic contexts. They teach courses such as 'Stories, Minds, and Brains' and 'Introduction to Experimental Psychology,' and mentor graduate students exploring topics like curiosity, aging, and episodic memory. The lab collaborates with interdisciplinary teams to apply natural language processing and machine learning to study timeless narratives and mental context persistence. Education: PhD in Psychology, University of Toronto (2013–2018) MA in Psychology, University of Toronto (2012–2013) BA in Psychology, York University (2007–2012) Research Interests: Episodic memory, spontaneous thought dynamics, narrative analysis, neuroimaging, default mode network, aging, computational modeling. Grants: Multiple NSERC grants (2012–2028) focused on memory, predictive models, and aging. Labs/Teams: Principal Investigator of the Memory & Meaning Lab; collaborations with institutions like Johns Hopkins University and York University.

• Clinical Neuroscience
• Affective Disorders
• Personality Disorders
• +۴ مورد دیگر

Alessandro Grecucci is an Associate Professor in the Department of Psychology and Cognitive Science at the University of Trento, with additional affiliation at the Centre for Medical Sciences (CISMED). His research integrates clinical neuroscience, machine learning, and neuroimaging to understand the neural mechanisms of emotion regulation and personality disorders. His primary research examines: Neural substrates of borderline and obsessive-compulsive personality disorders Machine learning approaches to psychiatric classification Brain mechanisms of emotion regulation strategies Neurodevelopmental aspects of psychopathology Multimodal neuroimaging fusion techniques Grecucci's recent publications demonstrate a strong focus on developing neuropredictive models of psychopathology using structural and functional MRI data. His work characterizes brain network alterations across psychiatric conditions including depression, bipolar disorder, and anxiety disorders, with particular attention to adolescent populations. He teaches advanced courses on affective neuroscience, clinical neuropsychology, and machine learning applications in neuroscience, including 'Cognitive Neuroscience and Neurotechnology' and 'Neuroscienze affettive e cliniche'.

Laia Farràs Permanyerمشاهده پروفایل

دانشیار

• Methodology of Behavioral Sciences
• Neuroimaging
• Functional Connectivity Analysis
• +۳ مورد دیگر

Laia Farràs Permanyer is an Associate Professor at the Department of Social Psychology and Quantitative Psychology, University of Barcelona. She specializes in quantitative methodologies applied to behavioral sciences, particularly in functional brain connectivity analysis using neuroimaging techniques. Her work focuses on aging-related cognitive changes and neurological disorders. Education: Doctorate in Clinical Psychology and Health (University of Barcelona, 2018) Masters in General Health Psychology and University Teaching (University of Barcelona) Bachelor's Degree in Psychology Research Interests: Her research integrates statistical methodologies with neuroimaging to study brain connectivity dynamics in healthy aging and mild cognitive impairment. Key techniques include fMRI analysis and network change point detection to uncover neurological patterns associated with cognitive decline. Teaching & Grants: Teaches courses on research methodology, statistics, and educational innovation Leads the "La competència informacional en el grau de Psicologia" project (2015-2021) Collaborates on the SIHEM-UB project (2016) focused on higher education management skills Labs/Teams: Works within interdisciplinary teams at the University of Barcelona's psychology and neuroscience departments, focusing on translational research between quantitative methods and clinical applications.