جست‌وجوی استاد و پژوهشگر

Swati Aggarwalمشاهده پروفایل

استاد

• Artificial Intelligence
• AI in Health and Medicine
• AI in Society
• +۶ مورد دیگر

Swati Aggarwal is a Professor in Artificial Intelligence at the Faculty of Logistics, Molde University College (HiMolde). Her research focuses on AI applications in healthcare, ethics, cognitive development, and neural networks. She holds a PhD in Neutrosophic Neural Networks, a Master's in Information Technology, and a Bachelor's in Computer Science and Engineering. Previously, she was a Marie Curie Postdoc Fellow at NTNU, working on AI models for cognitive assessment in infants (AIM_COACH project). Research Interests - AI in Health/Medicine - Ethics in AI and Societal Impact - EEG/BCI for Cognitive Assessment - Machine Learning and Deep Learning Publications Her recent work spans AI ethics, BCI applications, adversarial attacks, and healthcare diagnostics. Notable contributions include EEG-based infant perceptual monitoring (2025) and malaria detection via EfficientNet (2023). She also explores cross-lingual adversarial robustness and blockchain in hospitality systems. Labs/Teams - ABC-AI: Applied, Basic, and Conscientious AI Group - Virtual Technologies and Learning Research Group

• Microbiomics
• Genomics
• Complex Diseases
• +۴ مورد دیگر

Elin Org is a Professor of Microbiomics at the University of Tartu's Institute of Genomics, where she also serves as Head of the Estonian Genome Centre and Vice Director of the Institute. Her academic career spans over two decades with significant contributions to microbiome and genomic research. Education: PhD in Genetics, University of Tartu (2006) Master's Degree in Molecular Biotechnology and Biomedicine, University of Tartu (2000) Bachelor's Degree, University of Tartu (1997) Classical Singing, Heino Eller Tartu Music School (1996) Professor Org's research primarily focuses on the intricate relationships between host and gut microbiota and their influence on metabolism and common complex diseases. Her work bridges microbiomics, genomics, and complex disease research, with particular emphasis on understanding how gut microbiome composition affects human health. She has pioneered research connecting long-term antibiotic usage with microbiota-dependent effects and has made significant contributions to understanding the role of gut microbiome in conditions such as gestational diabetes, endometriosis, and polycystic ovary syndrome. Her approach integrates advanced computational methods with comprehensive health data to uncover causal relationships in microbiome research. Her recent publications demonstrate a strong trend toward integrating microbiome data with extensive digital health metrics, using machine learning approaches to identify microbial predictors of health outcomes. This work is increasingly focused on translating microbiome research into clinical applications for disease prediction and personalized medicine approaches, particularly in the context of the Estonian Biobank initiative. Major Scientific Recognition: 2025 National Science Award in medical and health sciences 2023 and 2022: Recognized among the world's top 1% most cited researchers by Clarivate Analytics 2020: Member of AcademiaNet, a portal for top female researchers 2017: EMBO Installation grant 2013: Marie Curie International Outgoing Fellowship Professor Org has secured substantial research funding as principal investigator for multiple significant projects, including 'DISCERN - Discovering the causes of three poorly understood cancers in Europe' (€245,466, European Commission) and 'Improving colorectal cancer screening and prediction using microbiome-based biomarkers' (€760,450, Estonian Research Council). She has served as an opponent for numerous PhD theses across European institutions, contributing to the development of emerging researchers in her field. As Head of the Estonian Genome Centre, Professor Org leads a multidisciplinary research team that plays a crucial role in Estonia's transition from biobanking to personalized medicine applications. She is actively involved in international collaborations through COST networks including INFOGUT (focused on in vitro colon models) and ML4Microbiome (statistical and machine learning techniques in human microbiome studies), positioning her at the forefront of global microbiome research initiatives.

Marcelo Mattarمشاهده پروفایل

استادیار

• Computational Neuroscience
• Decision-Making
• Reinforcement Learning
• +۳ مورد دیگر

Marcelo Mattar is an Assistant Professor of Psychology and Neural Science at New York University, leading the Mattar Lab. His research focuses on the neural computations underlying memory, decision-making, and reinforcement learning. He holds a Ph.D. in Psychology from the University of Pennsylvania and has held academic positions at NYU, UC San Diego, and postdoctoral roles at Princeton University and the University of Cambridge. His work bridges computational neuroscience and artificial intelligence, aiming to model how the brain uses internal models for planning and decision-making. Education: Ph.D. in Psychology (Computational and Cognitive Neuroscience), University of Pennsylvania, 2016 M.A. in Statistics, University of Pennsylvania, 2016 B.A. in Electronics Engineering, Instituto Tecnologico de Aeronautica, Brazil, 2010 Research Interests: The lab develops mathematical models of learning and decision-making, leveraging reinforcement learning, Bayesian statistics, and neural networks. Experiments involve human behavioral studies and neuroimaging, with collaborations in animal electrophysiology and computational psychiatry. Key Contributions: His work explores how episodic memory and hippocampal replay support flexible decision-making. Recent studies highlight parallels between human cognition and AI systems, such as language models' metacognitive abilities and brain-inspired algorithms. Awards: Newton International Fellowship, Royal Society (2018–2019) Lab Team: The lab includes postdocs, PhD students, and undergraduates from diverse fields like cognitive science, neuroscience, and computer science. Current members are listed on the lab's website. Lab Location: Meyer Hall, 6 Washington Place, New York, NY 10003.

Kanwaljeet S. Anandمشاهده پروفایل

استاد

• Pediatric Pain and Stress Neurobiology
• Neonatal and Fetal Pain Assessment
• Biomarker Development
• +۳ مورد دیگر

Dr. Kanwaljeet S. Anand is a dual-appointed Professor of Pediatrics (Pediatric Critical Care) and Anesthesiology, Perioperative & Pain Medicine at Stanford University School of Medicine. As director of the Pain/Stress Neurobiology Lab and Jackson Vaughan Critical Care Research Fund, he serves as Editor-in-Chief of Pediatric Research and maintains active membership in Bio-X, MCHRI, and Wu Tsai Neurosciences Institute. Rhodes Scholar with D.Phil from University of Oxford Harvard postdoctoral fellowship and Boston Children's Hospital residency Founded Harmony Health Clinic - Arkansas' largest charitable medical-dental facility A translational researcher with 30+ years of impact, Dr. Anand established the first scientific framework for infant pain perception and developed novel pain assessment methodologies. Current research focuses on: Hair biomarker analysis for stress and social affiliation (cortisol/oxytocin) Machine learning systems for objective pain detection in non-verbal infants Biopsychosocial interventions for stress reduction in disadvantaged youth Neurotoxicity mechanisms of sedatives in developing brains Global NICU opioid usage patterns through the NeoOpioid Consortium His work has yielded over 260 publications and significant advances in: Pediatric pain management protocols Neonatal stress biomarker development Critical care neurobiology insights Community health initiatives AI-driven clinical decision support systems Scientific Recognition 9th Annual 'In Praise of Medicine' Public Address, Erasmus University (2014) Nightingale Excellence Award (2016) Honorary Doctorate from University of Örebro (2019) NIH SBIB-H82 Study Section Chair (2018) Multiple IASP and American Pain Society awards Swedish Academy of Medicine's Nils Rosén von Rosenstein Award (2009) St. Jude Endowed Chairholder (2010) As mentor to Med Scholar Anjali Gupta and advisor to numerous professional bodies, Dr. Anand maintains active clinical leadership in Pediatric Intensive Care while advancing computational approaches to pain detection through collaborations with Stanford's AI researchers.

John P. Spencerمشاهده پروفایل

استاد

• cognitive development
• brain development
• computational neuroscience
• +۷ مورد دیگر

John P. Spencer is a Professor of Psychology at the University of East Anglia , UK, and a member of its School of Psychology . He previously served as a Professor of Psychology and founding Director of the Delta Center at the University of Iowa. His research focuses on the development of executive function, working memory, attention, and word learning, with a pioneering emphasis on dynamical systems theory and dynamic neural field models of cognition and action. Sc.B. with Honors, Brown University (1991) Ph.D. in Experimental Psychology, Indiana University (1998) His work utilizes fMRI , fNIRS , and eye-tracking to explore neural-cognitive dynamics in infancy and childhood, particularly in low-resource settings. Recent articles highlight cross-situational word learning, air quality impacts on cognition, and brain network myelination studies. Scientific awards include: 2003 Early Research Contributions Award (Society for Research in Child Development) 2006 Robert L. Fantz Memorial Award (American Psychological Foundation) APA Fellow since 2007 Current projects include brain imaging centers, infant cognition in India, and theoretical advancements in dynamic systems. He leads the Developmental Dynamics Lab and collaborates with institutions worldwide.

Raha Hassanمشاهده پروفایل

استادیار

• Developmental Psychology
• Social and Emotional Wellbeing
• Temperament
• +۷ مورد دیگر

Dr. Raha Hassan is an Assistant Professor in the Department of Psychology at Western University and the director of the Social and Emotional Wellbeing (SEW) Lab. She holds a PhD in Clinical Psychology from McMaster University and completed her predoctoral residency at the Royal Ottawa Mental Health Centre. Her research focuses on the role of temperament in social and emotional wellbeing, particularly in children's interactions and interpretations of social environments. She employs a developmental framework and emphasizes naturalistic observation of behavior, with an interest in cultural influences on these processes. Dr. Hassan’s work integrates psychophysiological measures such as EEG studies to explore brain mechanisms underlying shyness and self-regulation. Her articles investigate generational trends in shyness, the relationship between inhibitory control and social behavior, and the physiological underpinnings of social anxiety. Key themes include the double-edged nature of self-regulation, contextual factors affecting temperament, and the interplay between biology and environment in developmental outcomes. No scientific awards are explicitly mentioned in the provided text. Dr. Hassan’s lab, the SEW Lab, focuses on advancing understanding of social-emotional health through interdisciplinary methods.

Essa Yacoubمشاهده پروفایل

استاد

• Medical Physics
• Neuroimaging
• Biomedical Engineering
• +۶ مورد دیگر

Essa Yacoub is a Professor in the Department of Radiology at the University of Minnesota, affiliated with the PhD Program in Medical Physics and the Center for Magnetic Resonance Research. His work focuses on advancing MRI and fMRI technologies, particularly at ultrahigh magnetic fields (e.g., 10.5 T), to achieve unprecedented spatial and temporal resolution in brain imaging. He leads projects in RF coil design, noise reduction algorithms, and developmental neuroimaging. Roles: Professor, Medical Physics Program Faculty Affiliations: Center for Magnetic Resonance Research, Department of Radiology Research emphasizes high-resolution fMRI applications, including layer-specific brain mapping, pediatric neurodevelopment studies (e.g., Baby Connectome Project), and translational tools like BIBSNet for infant brain segmentation. His innovations bridge hardware engineering (RF coils) and software (denoising pipelines) to tackle challenges in mesoscopic-scale imaging. Key contributions include optimizing imaging protocols at 7T/10.5T, developing NORDIC denoising for submillimeter data, and advancing understanding of brain networks in aging and neurological disorders. His work is foundational for large-scale initiatives like the Human Connectome Project and non-human primate neuroimaging collaborations. Grants and collaborations focus on translational imaging technologies, while educational contributions include training through the Medical Physics PhD Program. Ongoing efforts aim to refine ultra-high field MRI applications for clinical and basic neuroscience research.

• Child and Adolescent Psychology
• Clinical Psychology
• Emotional Disorders
• +۶ مورد دیگر

Prof. Dr. Silvia Schneider is a distinguished Professor of Clinical Child and Adolescent Psychology at Ruhr University Bochum, where she serves as Director of the Research and Treatment Center for Mental Health (FBZ). She also coordinates the Bochum-Marburg site of the German Center for Mental Health (DZPG). Previously, she held professorial positions at the University of Basel, where she served as Dean of the Psychology Faculty. Her academic career spans over three decades with significant contributions to child and adolescent mental health research. Dr. Schneider earned her doctorate from Philipps-University Marburg in 1992 with highest honors (summa cum laude) for her dissertation on "Psychological Transmission of Panic Syndrome." She completed her habilitation at Technical University Braunschweig in 2002. Her academic qualifications include board certification as a Psychological Psychotherapist (1999) and specialized credentials in behavioral therapy for children and adolescents (1998). Dr. Schneider's research primarily focuses on the etiology, prevention, and treatment of emotional disorders in childhood and adolescence. Her work examines familial transmission of emotional disorders, clinical baby and infant research, and diagnosis of mental disorders across the lifespan. She has pioneered research on anxiety disorders, particularly separation anxiety, and has developed innovative treatment approaches including exposure-based therapies. Her current work increasingly integrates neurobiological perspectives with clinical interventions, examining brain-behavior relationships in anxiety disorders through neuroimaging studies. Her extensive publication record demonstrates a consistent focus on child and adolescent mental health, with recent work expanding into digital interventions, virtual reality therapies, and large-scale multicenter studies examining anxiety disorders from both clinical and neurobiological perspectives. Her research bridges basic science with clinical application, maintaining a strong focus on evidence-based interventions for children and families. Visiting Professor at Anxiety and Depression Research Center, UCLA (2015-2016) Visiting Scholar at Center for the Treatment and Study of Anxiety, University of Pennsylvania (2009-2010) Honorary Professorship at University of Surrey Roehampton (2003-2010) Swiss National Science Foundation Professorship (2003-2006) DFG Habilitation Scholarship (1998-2001) Cassianeum Educational Foundation Dissertation Prize (1994) Dr. Schneider has successfully secured substantial research funding from major German and international funding bodies including the German Research Foundation (DFG), German Federal Ministry of Education and Research (BMBF), and Swiss National Science Foundation. Her current projects include "The Role of Parents in Child Development in the Context of Immigration" (DFG), "Mobile Research Laboratory" (DFG), and "Improving Mental Health in Refugee Families" (BMBF). As Director of the FBZ, she leads a large interdisciplinary team conducting cutting-edge research while providing evidence-based clinical services. As Director of the Research and Treatment Center for Mental Health (FBZ) at Ruhr University Bochum, Dr. Schneider oversees a comprehensive research infrastructure supporting studies from basic developmental science to clinical interventions. The FBZ serves as a hub for interdisciplinary collaboration across psychology, psychiatry, and neuroscience, with particular strengths in anxiety disorders research, early intervention, and innovative treatment approaches including digital health solutions.

• Autism Spectrum Disorder
• Developmental Psychology
• Social Attention
• +۳ مورد دیگر

Dr. Angelina Vernetti is a Research Scientist at Yale University's Child Study Center, affiliated with the Social and Affective Neuroscience of Autism (SANA) Program. She holds a PhD in Developmental Neuropsychology from Birkbeck, University of London, and completed postdoctoral training at Yale. Her research focuses on social attention, reinforcement learning, and emotional regulation in children with autism, using advanced methodologies like eye-tracking and physiological recordings. Education: PhD in Developmental Neuropsychology, Birkbeck, University of London (2018) MSc in Neurosciences and Neuropsychology, University of Toulouse (2010) BSc in Cell Biology, University of Angers (2008) Research Interests : Dr. Vernetti investigates the neural and behavioral foundations of social difficulties in autism, including social attention mechanisms, emotional regulation abnormalities, and language processing deficits. Her work integrates experimental paradigms with neuroimaging and physiological measures to identify biomarkers for early intervention. Collaborations: She collaborates with prominent researchers like Katarzyna Chawarska and Suzanne Macari, focusing on neurodevelopmental mechanisms and translational research. Her team explores innovative approaches to autism assessment, including live eye-tracking and puppet-based interventions. Labs & Affiliations: Member of the Chawarska Lab and the Center for Brain & Mind Health. Active in training undergraduate, postgraduate, and doctoral students in autism research methodologies.

Philip Zelazoمشاهده پروفایل

استاد

• Cognitive development
• Developmental neuroscience
• Executive function
• +۴ مورد دیگر

Philip Zelazo is the Nancy M. and John E. Lindahl Professor at the University of Minnesota's Institute of Child Development, where he investigates the development and neural bases of executive function. Previously, he held the Canada Research Chair in Developmental Neuroscience at the University of Toronto. His educational background includes: Honors BA from McGill University (1988) PhD with distinction from Yale University (1993) Zelazo's research centers on executive function—the conscious control of thought, action, and emotion—with emphasis on cognitive complexity, consciousness development through thalamo-cortical circuits, and the distinction between "cool" (dorsolateral prefrontal cortex-associated) and "hot" (orbitofrontal cortex-associated) aspects. His methodologies span experimental, cross-cultural, and electrophysiological (EEG/ERP) approaches, integrating theoretical frameworks like the Cognitive Complexity & Control theory and Levels of Consciousness model. Analysis of his 2017-2024 publications reveals consistent focus on executive function development across childhood, mindfulness-based interventions, socioeconomic impacts on cognitive development, and translational applications for education and mental health. His work increasingly addresses real-world implementation through NIH Toolbox measures and school readiness programs. His major recognitions include: Fellow of the American Psychological Association (APA) Fellow of the Association for Psychological Science (APS) Fellow of the American Association for the Advancement of Science (AAAS) Fellow of the Mind and Life Institute Boyd McCandless Young Scientist Award (APA, 1996) Canada’s Top 40 Under 40 Award 2025 Award for Distinguished Contributions to Developmental Psychology (APA) Zelazo actively mentors doctoral students (open to new advisees in fall 2026) and leads significant grant initiatives, including development of the NIH Toolbox Executive Function measures and NIH Infant and Toddler Toolbox "Cognition and Executive Function" assessments. His interventions target EF promotion in high-risk populations, such as preschoolers experiencing homelessness. He directs the Developmental Social Cognitive Neuroscience Lab, which examines neural mechanisms of executive function using EEG/ERP and behavioral paradigms, with recent projects on mindfulness training effects and socioeconomic adversity impacts.

• Machine Learning
• Computational Biology
• Bioinformatics
• +۴ مورد دیگر

Catherine Mooney is a Professor in the School of Computer Science at University College Dublin (UCD), leading the Life Science Data Analytics Group (LiSDA). Her research focuses on applying machine learning to healthcare challenges, including biomarker development, clinical decision support systems, and addressing ethical and technical barriers in healthcare AI. Education: BSc in [field unspecified] from Trinity College Dublin PhD in Computer Science from UCD Prof Dip University Teaching & Learning from UCD Research Interests: Machine Learning applications in healthcare Biomarker discovery for neurological and metabolic conditions Explainable AI for clinical decision support Promoting diversity and inclusion in STEM education Her work bridges computational methods with medical challenges, emphasizing ethical AI and translational research. Notable Awards: Best Paper Award in Applied Biosciences (2023) UCD Long-Service Award (2022) Best Poster Award at ITiCSE ’20 (2020) Her research has led to impactful tools like LiSDA’s clinical decision support systems for epilepsy and pregnancy care. She also advocates for gender diversity in computing, serving in leadership roles like Vice Principal for EDI in UCD’s College of Science (2022–2024).

• Neonatal Neurology
• Brain Development
• Preterm Infant Brain Injury
• +۵ مورد دیگر

Dr. Steven P. Miller is a Professor and Head of the Department of Pediatrics at the University of British Columbia's Faculty of Medicine. He also serves as the Chief of Pediatric Medicine at BC Children's Hospital & Sunny Hill Health Centre under the Provincial Health Services Authority. Additionally, he holds the Hudson Family Hospital Chair in Pediatric Medicine and is an Investigator at BC Children's Hospital. Dr. Miller's research focuses on neonatal neurology, particularly brain development and injury in newborns. His work utilizes advanced magnetic resonance techniques and bedside brain monitoring to understand how a baby's critical care experience influences their risk of brain injury and developmental trajectory. His research areas include birth defects, concussion, preterm labor, and steroid effects on neonatal brain development. Analysis of Dr. Miller's recent publications reveals a strong emphasis on understanding the relationship between neonatal pain exposure, analgesia, and brain development in preterm infants. His work also extensively examines neurodevelopmental outcomes in infants with congenital heart disease, exploring how fetal hemodynamics, surgical interventions, and brain imaging findings correlate with long-term cognitive outcomes. A significant portion of his research investigates the impact of socioeconomic status on brain development and neurocognitive outcomes in preterm infants. Dr. Miller is actively involved in graduate education, supervising students in Neuroscience and Women+ and Children's Health Sciences programs at UBC. His research group, part of the Brain, Behaviour & Development Research Theme and the Neurodevelopmental and Neurological Disorders Visualizing the Brain Research Group, has published extensively in top-tier journals across neurology, pediatrics, and neuroscience.

Inna Fishmanمشاهده پروفایل

دانشیار

• Autism Spectrum Disorders
• Developmental Neuroscience
• Brain Imaging
• +۳ مورد دیگر

Inna Fishman, Ph.D., is a Research Associate Professor at San Diego State University's Department of Psychology within the College of Sciences. Her research investigates brain network organization in autism spectrum disorder (ASD) using multimodal MRI techniques, focusing on developmental trajectories from toddlerhood to adulthood. She directs studies on sensory processing, socioeconomic influences, and neural connectivity patterns in ASD. Research Focus: Dr. Fishman's work bridges social neuroscience and clinical neuropsychology, examining: Early biomarkers of ASD via functional/diffusion MRI Impact of bilingualism and socioeconomic factors on neurodevelopment Sleep disorders and sensory sensitivities in autistic children Aging-related neural changes in adults with ASD Publication Trends: Her recent articles (2021-2025) emphasize: 1) Advanced neuroimaging of ASD across lifespan stages, 2) Machine learning applications for diagnostics, 3) Socioeconomic and environmental modulators of brain development, and 4) Sleep/auditory processing comorbidities. Student Advising & Grants: She mentors doctoral candidates (Lindsay Olson, Jiwandeep Kohli, Bosi Chen) and leads NIH-funded projects including a clinical psychology fellowship for autism evaluation across ages. Laboratory Affiliation: Dr. Fishman co-directs the Brain Development Imaging Laboratories (BDIL), which investigates ASD manifestations through behavioral and neuroimaging approaches.

Kathryn A. Whiteheadمشاهده پروفایل

استاد

• Drug Delivery
• RNA Therapeutics
• Bionanotechnology
• +۴ مورد دیگر

Dr. Kathryn A. Whitehead is a Professor in the Department of Chemical Engineering and holds a courtesy appointment in the Department of Biomedical Engineering at Carnegie Mellon University. She joined the faculty in 2012 after completing postdoctoral training at MIT. Her research focuses on engineering drug delivery systems for RNA therapeutics, maternal-infant health, and overcoming biological barriers to enhance drug efficacy. Key areas include lipid nanoparticle (LNP) design for mRNA delivery, intestinal permeation enhancement, and leveraging maternal milk cells for therapeutic applications. Education: H.B.Ch.E., University of Delaware (2002); Ph.D., University of California, Santa Barbara (2007); Postdoctoral Fellow, MIT (2008–2012). Research Interests: Drug delivery systems, RNA interference, bionanotechnology, personalized medicine, and translational nanomedicine for diseases such as cancer and diabetes. Her lab develops novel LNPs for targeted delivery to tissues like the liver, brain, and pancreas. Awards and Recognition: AIMBE Fellow, DARPA Young Faculty Award (2016), CMBE Young Innovator Award (2016), MIT Technology Review Innovator Under 35 (2014), and NIH Director’s New Innovator Award. Her work has been cited over 9,000 times, with patents in RNA delivery and permeation enhancers. Lab Members: Active researchers include Ph.D. students, postdocs, and undergraduates working on projects such as LNP formulation, maternal milk cell biology, and siRNA therapies. Notable alumni have advanced to roles at Moderna Therapeutics, Verve Therapeutics, and academic institutions. Grants and Funding: Supported by NIH, DARPA, and industry partnerships. Current projects include NIH grants on pregnancy-safe mRNA delivery and DARPA funding for maternal-infant therapeutics.

Daniel Hydeمشاهده پروفایل

دانشیار

• Cognitive Development
• Numerical Cognition
• Developmental Psychology
• +۷ مورد دیگر

Daniel Hyde is an Associate Professor in the Department of Psychology at the University of Illinois Urbana-Champaign, affiliated with the College of Liberal Arts & Sciences and the Neuroscience Program. His research explores the nature and development of abstract conceptual knowledge through behavioral and neural measures. PhD in Psychology from Harvard University Hyde investigates cognitive development from infancy to adulthood, focusing on quantitative reasoning , spatial reasoning , and psychological reasoning using techniques like event-related brain potentials (ERPs) , functional near-infrared spectroscopy (fNIRS) , and behavioral assessments. His recent work examines how symbolic number knowledge builds on non-symbolic foundations and how neural sensitivity to mental states in infancy predicts later theory of mind abilities. Hyde's publications demonstrate a consistent focus on numerical cognition, multisensory integration, and developmental neuroscience. He leads the Brain and Cognitive Development Lab , participates in global initiatives like ManyNumbers and ManyBabies , and collaborates across disciplines to apply developmental insights to education and public health contexts.