جست‌وجوی استاد و پژوهشگر

• Neuro-Oncology
• Brain Tumors
• Glioblastoma
• +۴ مورد دیگر

Antonio Omuro, MD, is an Adjunct Professor in the Department of Neurology at Yale School of Medicine and currently serves as Chair of the Department of Neurology and Neurological Sciences at Stanford University. His research focuses on neuro-oncology, particularly clinical trials and therapeutic advancements for brain tumors, including glioblastoma and meningeal neoplasms. Dr. Omuro has held leadership roles, such as former Chief of Neuro-Oncology and Director of the Yale Brain Tumor Center, and completed his MD at the São Paulo School of Medicine (1995) and a Neuro-Oncology fellowship at Memorial Sloan Kettering Cancer Center (2004). His work emphasizes translational research, integrating machine learning and AI into clinical practice for improved diagnostic accuracy and treatment planning. Notable contributions include developing the Yale Glioma Dataset and advancing therapies like PARP inhibitors for recurrent tumors. He has been recognized as a Fellow of the American Academy of Neurology (2022). Dr. Omuro collaborates with researchers globally on projects such as deuterium metabolic imaging, immune profiling in brain tumors, and AI-enhanced radiotherapy planning. His publications highlight advancements in tumor metabolism analysis, clinical trial design, and molecular targeting strategies.

• Motor Control
• Music and Psychology
• Decision Making
• +۳ مورد دیگر

Scott Glover is a Senior Lecturer in the Department of Psychology Perception, Action and Decision Making at Royal Holloway, University of London. His research focuses on motor control, decision making, and the application of advanced statistical methods. He employs techniques like TMS and fMRI to explore cognitive processes in motor imagery and executive functions. Key research areas include the neural mechanisms underlying motor control, the impact of developmental coordination disorders in higher education, and the validation of replication studies in psychological research. Glover has led projects funded by the Leverhulme Trust and the Bial Foundation, investigating motor-cognitive models and the role of the dorsolateral prefrontal cortex in motor imagery. His work bridges neuroscience and psychology, with recent studies emphasizing qualitative analyses of student experiences and quantitative advancements in experimental design.

Ulla Richardsonمشاهده پروفایل

استاد

• Technology-Enhanced Language Learning
• Experimental Psycholinguistics
• Speech Processing
• +۳ مورد دیگر

Ulla Richardson is a Professor at the Centre for Applied Language Studies, part of the Faculty of Humanities and Social Sciences at the University of Jyväskylä. She serves as Vice Head of Department and holds a docentship in experimental psycholinguistics and speech processing at the Department of Languages. Richardson leads the UNESCO Chair on Inclusive Literacy Learning for All and the secretariat of the GraphoWORLD Network of Excellence, while also directing the multidisciplinary GraphoLearn (GraphoGame)/Ekapeli research team. Fields of Interest: Reading and writing skill development, dyslexia, phonology, speech processing, evidence-based technology in language learning, and cross-linguistic literacy interventions. Her research focuses on creating and validating digital learning environments like GraphoLearn (info.GraphoLearn.com), which supports reading and spelling skill development in 30 languages. She has conducted extensive randomized controlled trials in diverse contexts, including India and China, and collaborates on projects like LearnDigi (funded by the Academy of Finland) to study digitalization’s impact on learning. Her recent publications highlight trends in randomized trials, computational frameworks for literacy assessment, and adaptive learning tools for multilingual settings. Scientific Awards: UNESCO Chair on Inclusive Literacy Learning for All Richardson actively advises multidisciplinary teams, including her leadership in the GraphoLearn Rime intervention studies and collaborations with researchers like Heikki Lyytinen. Her work spans neurocognitive predictors of reading outcomes, phonological awareness training, and global literacy initiatives. She contributes to projects such as Lohkanlihkku (Sámi language literacy) and LearnDigi, emphasizing technology’s role in education.

Lauri Nummenmaaمشاهده پروفایل

استاد

• Biological psychology
• Social interaction
• Neurotransmission
• +۵ مورد دیگر

Lauri Nummenmaa is a Professor at the Turku PET Centre and Department of Psychology at the University of Turku (since 2019). Previously held positions include Associate Professor (2016–2019) and Academy of Finland Fellow (2011–2016). He earned his PhD in Psychology from the University of Turku in 2006 and holds an MA in Psychology from the same institution (2001). His research focuses on biological psychology, emotions, neuroimaging, and neurotransmission, with notable contributions to understanding the neural basis of emotions, social interaction, and obesity. He has received prestigious awards including the ERC Starting Grant (2012), Academy of Finland Award (2016), and Alfred Kordelin Prize (2012). Nummenmaa has supervised seven PhD theses and secured over €4.7 million in research grants. He is an editorial board member for Philosophical Transactions of the Royal Society B and serves on editorial roles for multiple neuroscience journals. His current projects investigate neuromolecular mechanisms of obesity, social attachment, and brain health determinants. Teaching highlights include instructing over 10 courses in statistics, emotions, and research methods. He has collaborated with industry partners such as Samsung and Fazer Foods on applied neuroscience projects.

Ghazala Saleemمشاهده پروفایل

استادیار

• Neuromotor Mechanisms
• Physiological Mechanisms
• Brain Injury Rehabilitation
• +۵ مورد دیگر

Dr. Ghazala Saleem is an Assistant Professor in the Department of Rehabilitation Science at the University at Buffalo’s School of Public Health and Health Professions. Her research focuses on neuromotor and physiological mechanisms in vulnerable populations with brain injury, motor control/learning, and targeted neuromodulatory interventions. She leads the Brain Function and Recovery Lab, emphasizing objective detection methods and cost-effective treatments for brain injury. Education : EdD, Movement Sciences (Occupational Therapy), Teachers College, Columbia University (2016) MS, Occupational Therapy, Columbia University (2010) BS, Psychology (Summa Cum Laude), Missouri Western State University (2006) Postdoctoral Fellowships: Johns Hopkins University (Brain Injury Neurorehabilitation, 2019) and Harvard Medical School (Clinical Trials, 2018) Research Interests : Dr. Saleem investigates interventions to enhance recovery in brain injury, particularly in populations with limited access to care. Her work combines neuroimaging, motor learning assessments, and neuromodulation to address post-concussive symptoms, intimate partner violence-related TBI, and pediatric motor performance. She is advancing telemedicine approaches for concussion assessment and advocating for marginalized communities. Awards : ACRM Brain Injury SIG Scholarship Award (2021) ACRM Complementary and Integrative Rehabilitation Medicine Fellowship (2021) Lab & Future Work : The Brain Function and Recovery Lab develops scalable solutions for brain injury rehabilitation. Current projects include studying IPV-associated TBI and optimizing telehealth concussion exams. Dr. Saleem aims to bridge clinical research and real-world accessibility, particularly for underserved populations.

Aly A Faragمشاهده پروفایل

استاد

• Computer Vision
• Biomedical Imaging
• Image Processing
• +۵ مورد دیگر

Aly A. Farag is a Professor of Electrical and Computer Engineering at the University of Louisville, where he founded the Computer Vision and Image Processing (CVIP) Laboratory. His research focuses on imaging science, computer vision, and biomedical imaging, with applications in cancer detection and medical visualization. He has authored over 350 technical papers and two upcoming textbooks. Dr. Farag holds patents in imaging technologies and has led projects funded by NSF, DoD, NIH, and industry. Educations: B.S. in Electrical Engineering, Cairo University, 1976 M.S. in Bioengineering, University of Michigan, 1984 M.S. in Biomedical Engineering, Ohio State University, 1981 Ph.D. in Electrical Engineering, Purdue University, 1990 Research Interests: Scene analysis, multimodal imaging reconstruction, statistical segmentation, and biomedical visualization. His work has advanced tubular topology visualization, colon segmentation, and lung nodule analysis. Collaborations span medical institutions and federal agencies. Awards: 2002 University Scholar designation for technical achievements. Served as associate editor for IEEE Transactions on Image Processing and general co-chair of IEEE ICIP-09. Grants & Advising: Principal investigator on NSF/NIH-funded projects. Advised 15 PhD and 26 MS students, trained 10 postdocs, and introduced new ECE curriculum topics. Labs/Teams: CVIP Lab pioneers innovations in medical imaging and AI-driven diagnostics. Active in interdisciplinary teams for STEM education engagement metrics.

Stefan Köhlerمشاهده پروفایل

استاد

• Human Memory
• Cognitive Neuroscience
• Human Brain Mapping
• +۳ مورد دیگر

Dr. Stefan Köhler is a Professor and Department Chair of Behavioral and Cognitive Neuroscience at Western University's Department of Psychology. He also serves as a Principle Investigator at the Western Institute for Neuroscience and holds affiliations with the Rotman Research Institute and Rotman Institute of Philosophy. His research focuses on the neural and cognitive mechanisms of human memory, particularly in aging, neurological, and psychiatric disorders. Dr. Köhler holds a Diplom (MSc) from the University of Bielefeld and a PhD from the University of Toronto (1995). He completed postdoctoral training at the Montreal Neurological Institute under Dr. Brenda Milner. His work employs techniques like fMRI, TMS, and behavioral experiments to study memory impairments and their neural substrates. Research Interests: The lab explores episodic memory's functional and anatomical organization, including interactions between memory systems and visual processing, neural correlates of novelty detection, and hippocampal contributions to pattern separation. Key themes include how brain regions differentiate memory types and support perceptual discrimination. Labs/Teams: Active in the Western Institute for Neuroscience and collaborates with the Rotman Research Institute. His lab integrates clinical neuroscience with advanced neuroimaging methods. Grants/Advising: Not explicitly listed, but his extensive publication record suggests sustained funding for studies on memory disorders and neuroimaging techniques. Advises graduate students in neuroscience and psychology programs.

Ethan K. Murphyمشاهده پروفایل

استادیار

• Electrical Impedance Tomography
• Biomedical Engineering
• Medical Imaging
• +۳ مورد دیگر

Ethan K. Murphy is an Assistant Professor of Engineering at Dartmouth College's Thayer School of Engineering. His research focuses on electrical impedance tomography (EIT), finite element method (FEM) modeling, and data fusion for biomedical applications such as stroke monitoring, hemorrhage detection, and cancer imaging. He holds a PhD in Mathematics from Colorado State University (2007) and has been recognized with awards including the Society of Critical Care Medicine’s Gold Snapshot Award (2021) and the Clinical Poster Award at the Northeast ALS Conference (2019). His work integrates computational methods with medical technologies, such as developing smartphone-based 3D scanning for EEG electrode localization and EIT systems for real-time tissue characterization. He collaborates on devices like EIT-coupled surgical staplers and non-invasive biomarker systems for hypovolemic cardiovascular instability. His labs and projects emphasize interdisciplinary approaches to biomedical engineering challenges. Key contributions include advancements in fused-data EIT for breast and prostate cancer imaging, phantom studies for validation, and algorithms for rapid FEM mesh generation from 3D scans. Current initiatives aim to improve early detection of internal bleeding and enhance medical imaging accuracy through machine learning and multi-modal data integration.

• Artificial Intelligence in Radiology
• Machine Learning
• Health Informatics
• +۲ مورد دیگر

Dr. Axel W. E. Wismüller is a Professor of Radiology and Biomedical Engineering at the University of Rochester Medical Center . As Director of the AI Radiology Laboratory , he uniquely combines clinical practice in cardiothoracic/body imaging with pioneering research in Artificial Intelligence (AI) for medical imaging . Holding MD, MSc (Physics), and PhD (Electrical Engineering) degrees from German institutions, he maintains dual US and German medical licenses and board certifications. Ludwig-Maximilians-Universitaet München (1990-1996) Technical University of Munich (MD 1992, PhD 2006) Ludwig Maximilians University Munich (Residency 1997-2005) His research focuses on machine learning and network connectivity analysis in neuroimaging, particularly for HIV-associated neurocognitive disorders and multiple sclerosis . He invented the XOM algorithm (patented in US/EU) and developed AI systems for chest radiograph analysis , breast cancer imaging , and osteoporosis diagnostics . His work on large-scale Granger causality has transformed brain network analysis methodology. Scientific awards include SPIE Senior Membership (2016), NIH/NIDA R01 funding (2012-2015), and NYSTAR public-private partnerships . Supervising over 30 PhD/MSc students across engineering, computer science, and medicine , he bridges clinical and computational disciplines through active roles in ACR, RSNA, and SPIE .

Jason W. Griffinمشاهده پروفایل

استادیار

• Autism Spectrum Disorders
• Social Cognition
• Face Processing
• +۱۲ مورد دیگر

Jason W. Griffin, Ph.D., is an Assistant Professor in the Department of Psychology at the University of Houston, within the College of Liberal Arts and Social Sciences. He is the Director of the Griffin Laboratory and holds affiliations with the Texas Center for Learning Disorders and the Texas Institute for Measurement, Evaluation, and Statistics. His research focuses on the cognitive and clinical neuroscience of autism, particularly social perception and face processing in children and adolescents. Dr. Griffin earned his Ph.D. from Pennsylvania State University and completed postdoctoral training at Yale University as a Hilibrand Postdoctoral Fellow. His work integrates neuroscience, clinical psychology, and quantitative methods to enhance the translational impact of autism research. His research interests include autism spectrum disorders, face processing, social cognition, electrophysiology, eye-tracking, and advanced statistical modeling. He employs tools such as EEG and intervention science to study neural and behavioral mechanisms in autism. His recent publications emphasize meta-analytic approaches, naturalistic neuroscience, and innovative methodologies for capturing social perception in real-world contexts. Dr. Griffin has received significant recognition, including the NOMIS and Science Young Explorer Award and the INSAR Slifka/Ritvo Innovation in Autism Research Award. He is funded by the National Institute of Mental Health (NIMH), Autism Science Foundation, Hilibrand Foundation, and others. Alumni Association Dissertation Award Distinguished Scholar Medal INSAR Slifka/Ritvo Innovation in Autism Research Award NOMIS and Science Young Explorer Award He mentors several doctoral students, including Samuel Turner, Ayesha Sultana, and Callie Istre, and leads a team of research assistants. His lab is supported by multiple grants aimed at understanding and improving social perception in autism. He also serves on the Early Career Committee for APA Division 3 and the editorial board of Autism . The Griffin Laboratory develops novel eye-tracking and EEG methods to study naturalistic neural responses in autistic children, supported by foundations such as the Alan B. Slifka Foundation and INSAR.

Matti Hämäläinenمشاهده پروفایل

استاد

• Neuroscience
• Magnetoencephalography
• Auditory Cortex
• +۴ مورد دیگر

Matti Hämäläinen is a Professor at the Department of Neuroscience and Biomedical Engineering , Aalto University. He is a leading expert in Magnetoencephalography (MEG) , with a focus on sensor design, neural connectivity, and clinical applications. His work contributes to understanding brain disorders like autism and epilepsy. Doctorate in Materiaalifysiikka, Teknillinen Korkeakoulu (1989) Diplomi-insinööri in Teknillinen Fysiikka, Teknillinen Korkeakoulu (1983) Hämäläinen's research spans MEG technology , auditory and visual cortex dynamics , and functional connectivity analysis . He develops open-source tools like MNE-Python and HNN-Core for neural data interpretation. Scientific Awards : None explicitly mentioned. He has led projects such as NIH Scalable Software for MEG/EEG and Device-Independent Real-Time MEG EEG Source Localization , with media coverage in outlets including Massachusetts General Hospital and Targeted News Service.

• Lifespan Psychology
• Cognitive Aging
• Neural Plasticity
• +۲ مورد دیگر

Ulman Lindenberger is Managing Director (2006-2009, 2016-2019, 2025-2027) and Director of the Center for Lifespan Psychology at the Max Planck Institute for Human Development in Berlin. He concurrently serves as Co-Director of the Max Planck UCL Centre for Computational Psychiatry and Ageing Research. He holds honorary professorships at Freie Universität Berlin, Universität des Saarlandes, and Humboldt-Universität zu Berlin. Education includes a Dipl.-Psych. from Technische Universität Berlin (1985), Dr. phil. from Freie Universität Berlin (1990 summa cum laude ), and Habilitation in Psychology (1998). His research examines: Behavioral and neural plasticity across lifespan Brain-behavior relationships Lifespan developmental theory Multivariate developmental methodology Formal models of behavioral change His publications focus on cognitive aging patterns, neural plasticity mechanisms, and methodological innovations in lifespan psychology. Research demonstrates consistent themes: neurocognitive dedifferentiation in aging, dopaminergic modulation of cognition, and environmental influences on brain plasticity. Awards include: Gottfried Wilhelm Leibniz Prize (2010) Fellow of Royal Society (2025) Foreign Member of Royal Swedish Academy of Sciences (2023) Mentoring Award of German Psychological Society (2011) He has supervised over 50 doctoral students and secured major grants including DFG collaborative projects, BMBF initiatives (Berlin Aging Study I/II), EU Horizon 2020 (LIFEBRAIN), and Max Planck Society strategic funds. Leads multidisciplinary teams at Center for Lifespan Psychology and Max Planck UCL Centre, coordinating international projects like COBRA (Cognition, Brain, and Aging) and SYNAPSE.

• MRI
• Brain Imaging (EEG, MRI)
• Neuroscience
• +۴ مورد دیگر

Franceschiello Benedetta is an Associate Professor at HES-SO Valais-Wallis School of Engineering, specializing in Technical and IT disciplines. She holds a PhD in Mathematical Neuroscience from Université Pierre et Marie Curie (Paris). Her work bridges applied mathematics, computational neuroscience, and neuroimaging, with a focus on visual perception modeling, MRI techniques, and neural dynamics. Teaching: Linear Algebra courses across multiple engineering bachelor programs Expertise: Combines mathematical modeling with neuroscientific applications to study optical illusions, brain connectivity, and ophthalmic diagnostics Key Affiliations: ISMRM, Organization for Human Brain Mapping (OHBM), Association for Research in Vision and Ophthalmology (ARVO) Research Interests: Computational modeling of visual cortex mechanisms underlying geometric optical illusions Development of MRI-based methods for eye structure segmentation and axial length estimation Analysis of brain network reliability through standardized MRI protocols Optimization techniques for medical imaging reconstruction (e.g., weighted LASSO problems) Recent Work Trends: Focus on integrating psychophysical experiments with computational models to elucidate perceptual mechanisms, emphasizing synergistic interactions between physical stimulus parameters. Active in advancing MRI applications for both clinical diagnostics and fundamental neuroscience research.

Scott S. Hallمشاهده پروفایل

استاد

• Autism Spectrum Disorder
• Neurogenetic Disorders
• Behavioral Interventions
• +۴ مورد دیگر

Scott S. Hall, Ph.D., is a Professor of Psychiatry and Behavioral Sciences at Stanford University, specializing in Child and Adolescent Psychiatry and Child Development. He holds academic appointments in the University Medical Line and is a member of the Maternal & Child Health Research Institute (MCHRI) and the Wu Tsai Neurosciences Institute. His clinical roles include serving as a Board Certified Behavior Analyst (BCBA-D) and leading the Complex Behavior Disorders Clinic in Pediatric Psychiatry. Education: B.Sc. in Psychology, Goldsmiths' College, University of London (1989) Ph.D. in Psychology, Institute of Psychiatry, King's College London (1997) Postdoctoral Fellowships: Arizona State University (Behavior Analysis, 1999) and University of Birmingham (Neurogenetic Disorders, 2000) His research focuses on understanding and treating behavioral challenges in neurogenetic disorders such as fragile X syndrome, Cornelia de Lange syndrome, and Prader-Willi syndrome. Techniques include eye tracking, neuroimaging, and telehealth-delivered interventions. He emphasizes patient-specific treatments targeting environmental and biological factors. Recent articles explore telehealth efficacy, social gaze training in FXS, and behavioral interventions for ASD. Awards include grants from the Department of Defense, NICHD, and NIMH. He serves on editorial boards for journals like Journal of Intellectual Disability Research and American Journal on Intellectual and Developmental Disabilities . His teaching includes courses on genes, memes, and behavior, and he mentors students through independent studies and research programs. The Translational Applied Behavior Analysis (TABA) Lab under his direction advances behavioral interventions for developmental disabilities.

• Cognitive Neuroscience
• Emotion Regulation
• Sleep and Dream Research
• +۳ مورد دیگر

Pilleriin Sikka is a Senior Lecturer in Cognitive Neuroscience at the University of Skövde (Sweden) and a Postdoctoral Research Fellow at Stanford University's Psychophysiology Laboratory. She is also affiliated with the University of Turku (Finland). Her research focuses on emotions and emotion regulation across the wake-sleep cycle, particularly exploring emotional experiences in wakefulness, mind-wandering, and dreaming. She integrates multidisciplinary approaches from psychology, neuroscience, and philosophy to study well-being, peace of mind, and their neurobiological correlates. Her educational background includes a PhD in Psychology (University of Turku), MSc in Neuroscience (University of Oxford), and MSc/BSc in Psychology (University of Tallinn). She has coordinated courses such as 'Basic Neuroscience' and 'Central Topics in Cognitive Neuroscience', emphasizing teaching excellence reflected in multiple Golden Apple awards (2010, 2015, 2020). Key research projects include analyzing pandemic impacts on dreaming ('COVID-19 on MIND'), studying alexithymia's role in psychopathology, and investigating the role of dreaming in emotion regulation. Her work frequently addresses translational applications, such as anesthesia-induced dream states for PTSD treatment and dietary interventions (e.g., ketogenic diets) for mental health. Publications highlight methodological innovations in dream emotion measurement and global surveys (e.g., COVIDiSTRESS) tracking psychological responses to crises. Her contributions span empirical studies, systematic reviews, and theoretical frameworks, reflecting a commitment to bridging basic and applied research in cognitive neuroscience.