Find Academic Supervisors

Erin MazerolleView profile

Associate Professor

• Neuroscience
• Brain Health
• Functional Brain Imaging
• +4 more

Dr. Erin Mazerolle is an Associate Professor in the Department of Psychology and Computer Science at St. Francis Xavier University. Her research focuses on interdisciplinary neuroscience, brain health literacy, translational neuroimaging, and improving reproducibility in functional brain imaging. She leads the Mazerolle Lab, which collaborates with diverse fields including education, computer science, and public health. Her work includes co-creating public education tools on vascular cognitive impairment, brain health maintenance, and the impact of housing instability. She has secured grants from CIHR, AtlanticOER, and MITACS for projects like developing open educational resources and evaluating concussion symptom reporting in student athletes. Recent lab activities involve summer research awards for students, postdoctoral collaborations, and projects on SuperAgers in the Canadian Longitudinal Study on Aging. Dr. Mazerolle also emphasizes STEM outreach, including initiatives like the Antigonish Brain Bee and mentorship for youth in science.

Nathalie BoddaertView profile

Professor

• Neuroimaging
• Pediatric Radiology
• Brain Disorders
• +3 more

Prof. Nathalie Boddaert is the Head of the Pediatric Radiology Department at the Necker-Enfants Malades Hospital, leading a team specializing in advanced multimodal neuroimaging techniques. Her work focuses on cerebral blood flow assessment using arterial spin labeling (ASL), structural MRI, diffusion tensor imaging (DTI), and functional MRI (fMRI), with applications in pediatric neurological disorders. The team's research investigates biomarkers for diseases such as tuberous sclerosis, mitochondrial disorders, and brain tumors, emphasizing longitudinal studies and clinical correlations. Research interests include translational neuroimaging, pediatric epilepsy, and neuro-oncology, with a particular focus on identifying imaging signatures for early diagnosis and monitoring treatment responses. The Image@Imagine research team collaborates on developing MRI protocols to study brain development, vascular anomalies, and rare genetic syndromes. Publications highlight advancements in neuroimaging applications for pediatric populations, including studies on cerebral perfusion in neonatal stroke, functional reorganization after hemispherotomy, and radiogenomic correlations in diffuse intrinsic pontine gliomas (DIPGs). The team also explores sensorimotor adaptations in deaf children and brain abnormalities in mastocytosis. Key collaborations involve machine learning integration for diagnostic support and clinical genetics consultations to improve diagnostic rates in complex pediatric cases. Ongoing projects aim to refine non-invasive neuroimaging tools for precision medicine applications in pediatric neurology and oncology.

Joy BhattacharyaView profile

Professor

• Creativity
• Music Psychology
• Neuroscience
• +5 more

Prof. Joy Bhattacharya is a Professor of Psychology at Goldsmiths, University of London, specializing in creativity, music cognition, neuroscience of flow states, and well-being. His research integrates cognitive psychology, neuroimaging techniques (EEG, MEG), and machine learning to explore creative processes, neural correlates of artistic experiences, and mental health applications. Research Interests: His work focuses on creativity evaluation (poetry, music), flow states in musicians, neurophysiological mechanisms of insight (Aha! moments), and biomedical applications like autism detection via neuroimaging. He also investigates cardiovascular-neural interactions and emotional intelligence 's role in creative performance. Recent Work Trends: Over 2023-2025, Prof. Bhattacharya has published extensively on: (1) poetic creativity metrics using behavioral and neural measures, (2) flow state neurophysiology in professional musicians, and (3) machine learning models for neurodevelopmental disorder detection. His studies often bridge art-science domains, combining EEG/MEG with behavioral experiments. Grants & Collaborations: While specific grants are not listed, his publications indicate interdisciplinary collaborations in music cognition, clinical neuroscience, and computational modeling. The Proto-Fuse Project (2016-2018) highlights applied creativity research with architectural design. Labs/Teams: Though not explicitly named, his work involves neuroimaging labs and interdisciplinary groups studying creativity and flow states.

Ahmet OmurtagView profile

Senior Lecturer

• Biomedical Engineering
• Neuroimaging
• EEG and fNIRS Signal Analysis
• +5 more

Ahmet Omurtag is a Senior Lecturer in the Department of Engineering at Nottingham Trent University's School of Science & Technology. He holds a Ph.D. in Mechanical Engineering from Columbia University and postdoctoral training in computational neuroscience. His research focuses on multimodal neuroimaging techniques (EEG and fNIRS) to study human performance, neurovascular coupling, and skill assessment in surgical contexts. He leads the Human Factors and Performance research group and oversees the Biomedical Engineering course. Dr. Omurtag's career includes roles at Bio-Signal Group (biomedical device development) and the University of Houston. He is a Chartered Scientist and Fellow of the Higher Education Academy. His work bridges academia and industry, with collaborations in neuroimaging applications for smart manufacturing and surgical training. He serves as an Associate Editor for a bioengineering journal and reviews grants for national funding bodies. Key research themes include: (1) EEG-fNIRS fusion for cognitive workload monitoring, (2) neurophysiological markers of skill acquisition in surgery, and (3) non-invasive diagnostic tools for Alzheimer's and neurological disorders. His >45 publications span neuroergonomics, medical device innovation, and emergency EEG interpretation.

Elizabeth DavenportView profile

Assistant Professor

• Neuroimaging
• Traumatic Brain Injury
• Alzheimer's Disease
• +4 more

Dr. Elizabeth Davenport is an Assistant Professor of Radiology, Biomedical Engineering, and Advanced Imaging Research at UT Southwestern Medical Center, where she serves as Technical Director of the Magnetoencephalography (MEG) Center of Excellence. Her research investigates subconcussive head impacts in contact sports, traumatic brain injury biomarkers, and neurodegenerative diseases using advanced neuroimaging techniques. Education: PhD in Biomedical Engineering from Virginia Tech-Wake Forest University, BS in Biomedical Engineering from North Carolina State University. Research Focus: Dr. Davenport's lab develops MEG and MRI biomarkers for brain injury, analyzing neural network alterations from repetitive head impacts. Her work integrates diffusion tensor imaging, functional connectivity, and biomechanical modeling to understand cognitive outcomes in athletes and neurological patients. Publication Analysis: Recent works (2020-2025) demonstrate expertise in MEG signal processing, concussion biomarkers, and neural network dynamics. Key contributions include standardized MEG guidelines (ACR White Paper), microhemorrhage detection in athletes, and computational models linking biomechanics to neuroimaging changes. Lab Leadership: Directs the Davenport Lab focused on quantitative neuroimaging methods Leads NIH-funded studies on youth football head impact exposure Collaborates with ANSIR Lab and Biomedical Engineering programs

Alice V. ElyView profile

Assistant Professor

• Addiction Psychology
• Health Psychology
• Neurocognitive Function
• +7 more

Alice V. Ely is an Assistant Professor of Clinical Psychology at Widener University, specializing in addiction and health psychology. She holds affiliations with multiple programs, including the Clinical Psychology (PsyD) and dual-degree tracks in Clinical Psychology & Criminal Justice, Clinical Psychology/Business, and Clinical Psychology/Health Care Management. Her research focuses on neurocognitive function in substance use disorders, healthcare service utilization for addiction, behavioral/mindfulness-based treatments, and comorbid conditions like obesity and chronic illness. She emphasizes clinical-practice integration and is licensed as a psychologist. Education : While specific degrees aren’t listed, her title and publications indicate advanced training in clinical psychology and neuroscience. Her work often intersects clinical practice with neurobiological research. Research Interests : Neurocognitive mechanisms underlying addiction and obesity Behavioral interventions for substance use disorders Healthcare protocols for hospitalized patients with addiction Cognitive outcomes in heart failure patients with comorbidities Her work frequently explores how neurobiological factors (e.g., reward pathways, inhibitory control) interact with clinical outcomes in marginalized populations. Publications Trends : Recent work emphasizes comorbidities (e.g., obesity and smoking) and neurobiological underpinnings of addiction. 2023–2025 articles highlight hospital-based protocols, methadone treatment access, and BMI’s role in withdrawal outcomes. Awards : NIDA Director’s Travel Award (2021) Outstanding Young Investigator in Eating Disorders (2017) Multiple New Investigator Travel Awards (2012) Labs/Teams : Collaborates with interdisciplinary teams on integrated care models, particularly in hospital addiction medicine and substance use protocols. Active in the College on Problems of Drug Dependence (CPDD) and Society of Behavioral Medicine.

Ludovica BrusaferriView profile

Senior Lecturer

• Medical Imaging
• Biomedical Engineering
• Artificial Intelligence in Healthcare
• +4 more

Ludovica Brusaferri is a Senior Lecturer in Medical Imaging at the School of Engineering, London South Bank University (LSBU), within the Department of Computer Science and Informatics, since November 2023. She holds a PhD in Medical Imaging Physics from University College London (2020) and completed a postdoctoral fellowship at the A.A. Martinos Center for Biomedical Imaging at Harvard Medical School (2020–2023). Her research focuses on advancing PET/MR imaging through AI integration to address clinical challenges in neurodegenerative diseases, neuroinflammation, and chronic pain. Education: Bachelor/Master in Biomedical Engineering, Sapienza University of Rome (2016) PhD in Medical Imaging Physics, University College London (2020) Research Interests: Her work bridges medical imaging innovation and clinical practice, emphasizing PET/MR quantification algorithms, neuroinflammation biomarkers, and AI-driven solutions for disease staging and diagnostics. Key areas include migraine pathophysiology, pandemic-related mental health impacts, and non-invasive PET quantification techniques. Article Trends: Recent publications highlight neuroinflammation’s role in chronic pain (e.g., migraine, PASC), AI applications in PET reconstruction, and TSPO PET modeling. Her work frequently explores brain imaging correlates of pain and inflammatory responses, leveraging interdisciplinary collaboration. Grants and Advising: She is actively accepting PhD students and collaborates with engineers and computer scientists to translate research into clinical tools, though specific grant details are not disclosed. Her lab at LSBU focuses on AI-enhanced medical imaging pipelines. Labs/Teams: Associated with LSBU’s Bioscience and Bioengineering Research Centre and the Biomedical Imaging, Monitoring, and Treatment group. Collaborates with Harvard’s Martinos Center and global institutions on neuroimaging studies.

• Emotion Processing
• Prospective Memory
• Addiction Neuroscience
• +3 more

Gillian Terrett is an Associate Professor in the Department of Psychology at the School of Behavioural and Health Sciences (Faculty of Health Sciences). Her research focuses on emotion processing, prospective memory, addiction neuroanatomy, and psychopathology. She has contributed to studies on amygdala subregions, social anxiety disorder, and the cognitive effects of substances like alcohol and cannabis. Her work frequently involves neuroimaging techniques and collaborations within the ENIGMA Addiction Working Group. Notable studies include investigations into hippocampal subregion volumes in cannabis dependence and the neural correlates of social anxiety disorder. Terrett has also explored age-related changes in emotion regulation and prospective memory across developmental stages, including in clinical populations such as youth with borderline personality disorder. Her research trends emphasize translational studies linking neurobiological mechanisms to behavioral outcomes in mental health and addiction. She has published extensively in journals like Human Brain Mapping , Psychopharmacology , and Journal of Experimental Child Psychology .

Tehila NugielView profile

Assistant Professor

• Developmental Neuroscience
• fMRI Research
• Learning Disabilities
• +3 more

Tehila Nugiel is Assistant Professor of Psychology and Neuroscience at Florida State University. Her research investigates how neuroscience can improve academic and mental health outcomes for youth, using fMRI to study brain function in children with learning challenges and ADHD. Research examines brain network dynamics during attention and reward processing tasks, neurocognitive development across childhood/adolescence, and impacts of interventions like methylphenidate. Current projects explore pubertal influences on mental health, discrimination effects on attention networks, and neurocognitive foundations of academic skills in diverse learners. Recent publications focus on: cortical development and neurocognition (2025), network reconfiguration during cognitive tasks (2025), methylphenidate effects on brain organization in ADHD (2025), and neural correlates of academic skills in English learners (2023-2024). Methodological innovations include motion-reduction techniques for pediatric fMRI and tools for ecological validity assessment.

Roselinde KaiserView profile

Associate Professor

• Neurocognitive Dysfunction
• Depression
• Bipolar Disorders
• +4 more

Roselinde Kaiser is an Associate Professor and Associate Chair in the Department of Psychology and Neuroscience at the University of Colorado Boulder, where she also serves as Director of Undergraduate Studies. She earned her PhD from the University of Colorado Boulder in 2013. Her research focuses on understanding neurocognitive dysfunction in depression and bipolar disorders, particularly in adolescents and young adults, with an emphasis on developmental perspectives. Her RADD (Research on Affective Disorders and Development) Lab explores brain network abnormalities in cognitive regulation and learning, aiming to translate findings into improved treatments for mood disorders. Key interests include neurocognitive risk markers for predicting mood symptom onset, reward processing deficits, and stress-related mechanisms. Dr. Kaiser’s work bridges clinical applications with basic science, emphasizing scalable interventions like self-guided mindfulness for anxiety reduction. Her research integrates multimodal neuroimaging, computational modeling, and predictive analytics to map brain dynamics associated with anhedonia, impulsivity, and hypomania. She examines how childhood trauma (e.g., sexual abuse) interacts with dopaminergic pathways and stress responses to influence mood disorders. Clinical studies investigate how enhancing neurocognitive functioning—such as through brain-based interventions—can foster mood resilience. Dr. Kaiser’s contributions include advancing transdiagnostic approaches to mental health, leveraging resting-state functional connectivity and graph theory to identify biomarkers for personalized treatment. She oversees undergraduate education within the department, reflecting her commitment to training future researchers. Her lab’s collaborative projects span developmental neuroscience, computational psychiatry, and translational medicine, addressing both basic and applied questions in affective disorders. Current efforts include predictive modeling of mood trajectories and evaluating cannabis-derived compounds like cannabidiol for depression treatment.

Yuranny Cabral-CalderinView profile

Researcher

• Neural oscillations
• Neural entrainment
• Noninvasive brain stimulation
• +3 more

Dr. Yuranny Cabral-Calderin is a Researcher at the Max Planck Institute for Empirical Aesthetics in Frankfurt am Main, Germany. She holds a PhD in Systems Neurosciences from the University of Göttingen (2016), an MSc in Cognitive and Systems Neuroscience from the Cuban Center for Neuroscience (2011), and a Diploma in Psychology from Havana University (2007). Her research focuses on neural oscillations, noninvasive brain stimulation, and auditory/visual perception, with a particular interest in neural entrainment mechanisms and brain imaging techniques like EEG-fMRI and tACS. She has contributed to understanding how rhythmic auditory stimulation and transcranial stimulation modulate brain activity and perception. Her work spans both human and animal models (e.g., bats), exploring cortical networks and oscillatory coherence. Awards include the Merit Abstract Award (OHBM, 2015) and FENS-IBRO stipend (2014). She has held postdoctoral positions at the Max Planck Institute, Goethe University’s Brain Imaging Center, and the German Resilience Center, contributing to interdisciplinary research on neural circuits, consciousness, and cognition.

Fatemeh TaheriyanView profile

Researcher

• Medical Signal Processing
• Neuroimaging Data Analysis
• Neural Circuits
• +3 more

Fatemeh Taheriyan is a Researcher at the Max Planck Institute for Empirical Aesthetics in Frankfurt, Germany, affiliated with the Neural Circuits, Consciousness, and Cognition Group under Prof. Lucia Melloni. Her career includes roles as R&D Researcher at WTOM (Tehran, Iran), intern at the Donders Centre for Cognitive Neuroimaging (Nijmegen, Netherlands), and research positions in AI-Med and IPM (Institute for Research in Fundamental Sciences, Tehran). She holds an M.Sc. in Biomedical Engineering from Khajeh Nasir Toosi University of Technology (2015–2018) and a B.Sc. in Electrical Engineering from Shahrood University of Technology (2010–2014). Her research interests focus on medical signal/image processing, neuroimaging data analysis, and neural circuit dynamics. Recent work emphasizes MRI techniques for resting-state networks, computational neural models, and optimization in biomedical systems. No awards are explicitly listed, but her contributions span academic and industry research collaborations. She is involved in interdisciplinary projects at the intersection of neuroscience and technology.

Yanbo HuView profile

Senior Lecturer

• Cognitive Neuroscience
• Emotion Regulation
• Decision Making
• +6 more

Yanbo Hu is a Senior Lecturer in Psychology at London Metropolitan University (LondonMet), affiliated with the School of Social Sciences and Professions. She leads core modules in biological psychology and coding for both undergraduate and MSc programs. Her academic journey includes an MSc in Cognitive Neuroscience from the University of York and a PhD from Royal Holloway, University of London, supported by a full scholarship. Her postdoctoral research at the University of Reading’s Centre for Integrative Neuroscience and Neurodynamics explored emotion regulation mechanisms using fMRI and TMS, uncovering the cerebellum’s potential role in this domain. Dr. Hu’s education spans key institutions: the University of York (MSc), Royal Holloway (PhD), and Reading (postdoc). She has received notable funding, including a £42k Research Grant from LondonMet (2018), and collaborative support through the National Natural Science Foundation of China (2013). Her earlier awards include travel grants from the Guarantors of Brain and the University of Reading, as well as prestigious scholarships like the Thomas Holloway Research Studentship (2006). Her research focuses on applied cognitive neuroscience, emphasizing emotion regulation, decision-making, neuroeconomics, and behavioral economics. She investigates the cerebellum’s functionality and its implications for addictive behaviors, particularly internet gaming disorder. Her work employs advanced neuroimaging techniques like fMRI and graph theory to analyze brain networks, contributing to understanding impulsivity and reward mechanisms in addiction. She also explores the impact of internet search on temporal gyrus synchronization, bridging cognitive processes and neural activity. Dr. Hu’s publications since 2017 include seven peer-reviewed papers in high-impact journals, four selected for the Research Excellence Framework (REF). Her articles highlight interdisciplinary trends, integrating neuroscience with behavioral economics to address addiction vulnerabilities and neurobiological underpinnings of impulsive decisions. She has presented at major conferences, including the Society for Neuroscience and the Cognitive Neuroscience Society, advancing insights into emotion regulation and cerebellar roles. In collaboration and outreach, she actively fosters UK-China partnerships in internet gaming research and is developing a new research profile on ‘the brain in school’ to expand her work’s societal impact. Her grants and supervisory roles reflect her commitment to both academic rigor and applied neuroscience.

• Cognitive Neuroscience
• Psychology of Ageing
• Neuroplasticity Mechanisms
• +4 more

Hakuei Fujiyama is a Senior Lecturer affiliated with Murdoch University, specifically within the Centre for Healthy Ageing and the Health Futures Institute. Her research focuses on neurophysiological mechanisms underlying age-related changes in cognitive and motor function, with an emphasis on neuroplasticity. She employs advanced neurophysiological techniques including transcranial magnetic stimulation (TMS), electroencephalography (EEG), transcranial electrical stimulation (tES), and magnetic resonance imaging (MRI) to investigate cortical function and plasticity. Her work explores interventions such as repetitive TMS (rTMS) and bifocal transcranial alternating current stimulation (tACS) to induce beneficial neuroplastic changes. Key areas of interest include inhibitory control, sensorimotor integration, and the application of non-invasive brain stimulation in conditions like Parkinson’s disease and stroke recovery. Recent studies highlight her focus on optimizing stimulation protocols for individualized therapeutic outcomes and investigating the impact of aging on neural connectivity and motor control. Despite no listed awards, her research has contributed significantly to understanding mechanisms of neuroplasticity and their clinical applications. Her work has been published in over 50 peer-reviewed articles, with a strong emphasis on methodological rigor and translational potential in aging neuroscience and neurological rehabilitation.

Gyujoon HwangView profile

Assistant Professor

• Neuroimaging
• Machine Learning
• Alzheimer's Disease
• +5 more

Gyujoon Hwang, PhD, is an Assistant Professor in the Department of Psychiatry and Behavioral Medicine at the Medical College of Wisconsin. His research focuses on applying machine learning and neuroimaging techniques to uncover mechanisms underlying brain disorders, with a particular emphasis on Alzheimer's disease, neurodegeneration, and mental health conditions like prolonged grief disorder. He investigates genetic and environmental factors influencing brain structure and function, and develops AI-driven models to stratify disease heterogeneity and identify biomarkers. Key research interests include neuroimaging endophenotypes, brain aging patterns, and the integration of multimodal data (MRI, genetics, clinical) to advance precision medicine. His work bridges computational neuroscience with clinical psychiatry, aiming to translate imaging findings into actionable insights for diagnosis and treatment. Recent studies highlight his contributions to understanding tau-neurodegeneration mismatches in Alzheimer's, amygdala dysfunction in grief disorders, and the genetic architecture of brain aging. Collaborative efforts involve large-scale datasets and interdisciplinary teams to address complex neurobiological questions. No scientific awards or grants are explicitly listed in the provided text, but his active publication record reflects sustained research productivity. He advises no listed students but collaborates extensively with researchers across neurology, genetics, and computational medicine.