جست‌وجوی استاد و پژوهشگر

• Systems Neuroscience
• Neurodegenerative Diseases
• Movement Disorders
• +۱۲ مورد دیگر

Henning Boecker is a Professor specializing in systems neuroscience, with a clinical and research focus on neurodegenerative diseases, particularly movement disorders and dementia. His work employs advanced neuroimaging techniques including structural and functional MRI and PET to investigate brain pathophysiology and plasticity. His research interests span systems neuroscience , neurodegenerative diseases , functional and structural brain imaging , and exercise-induced neuromodulation . He investigates how physical activity affects brain networks related to cognition and emotion, and how neurodegenerative processes alter brain connectivity and structure in conditions like Parkinson’s disease and Alzheimer’s disease. His work integrates multimodal imaging to explore receptor-level mechanisms, such as dopamine and opioid systems, in response to high-intensity exercise. The recent publications show a strong emphasis on functional connectivity , brain network topology , and neuroplasticity across conditions including subjective cognitive decline, tremor, and aging. The research combines clinical neurology with cognitive neuroscience, often using fMRI and PET to map disease progression and treatment effects, such as after MR-guided focused ultrasound thalamotomy. Scientific Contributions: Active contributor to neuroscience research with multiple 2024 publications in high-impact journals. Associate Editor for Frontiers in Aging Neuroscience (Neurocognitive Aging and Behavior section). Extensive editorial contributions, including reviewing and editing scientific publications. Advising and Collaborations: While no direct students are listed, Professor Boecker collaborates extensively with researchers such as Marcel Daamen, Alexander Radbruch, Ulrike Attenberger, and Frank Jessen. His network suggests leadership in a neuroscience research group focused on neuroimaging and neurodegeneration. Labs and Teams: Likely part of a neuroimaging or systems neuroscience research team utilizing MRI and PET technologies, possibly within a neurology or psychiatry department. His work on exercise, cognition, and neurodegeneration indicates a multidisciplinary team integrating neurology, radiology, and cognitive science.

Guido Montúfarمشاهده پروفایل

استادیار

• Mathematical Machine Learning
• Deep Learning Theory
• Graphical Models
• +۷ مورد دیگر

Guido Montúfar is Assistant Professor at the University of California, Los Angeles (UCLA) in the Departments of Mathematics and Statistics, and Research Group Leader at the Max Planck Institute for Mathematics in the Sciences (MPI MIS). His work bridges mathematical machine learning, deep learning theory, and information geometry. Current affiliations: UCLA (since 2017) and MPI MIS (since 2018) ERC Starting Grant on Deep Learning Theory Research interests focus on the interplay between model capacity, optimization landscapes , and generalization in deep learning, combining tools from algebraic geometry , optimal transport , and information theory to analyze neural network behavior. Recent publications address tropical geometry of neural networks , algebraic optimization in reinforcement learning , and information-theoretic approaches to data representation . His work reveals connections between policy gradient methods and Wasserstein gradient flows . Scientific grants: ERC Starting Grant, DFG SPP 2298, NSF CAREER

• Neuroimaging
• Biostatistics
• Developmental Psychiatry
• +۱۰ مورد دیگر

Steven M Hodge is an Instructor in the Department of Psychiatry and Behavioral Sciences at UMass Chan Medical School, with additional appointments in the Eunice Kennedy Shriver Center. He serves as the chief statistician at the Child and Adolescent Neurodevelopment Initiative (CANDI), focusing on neuroimaging and biostatistical analysis of neurodevelopmental disorders. Institution: UMass Chan Medical School School: T.H. Chan School of Medicine Department: Psychiatry and Behavioral Sciences Education: B.A. in Psychology and Music, University of Wisconsin at Stevens Point, 1991 M.A. in Cognitive Psychology (emphasis in neuropsychology), Brandeis University, 1996 Mr. Hodge's research centers on biostatistical analysis of human brain imaging data, particularly in autism, bipolar disorder, and schizophrenia. His work aims to understand normative brain development and pathological changes associated with mental illness. He collaborates with Prof. David N. Kennedy on neuroinformatics initiatives to pool and analyze large-scale brain imaging datasets. His expertise lies in data reproducibility, morphometric analysis, and multivariate statistics. The trend in his recent publications (2020–2024) reflects a growing emphasis on data re-executability, open neuroimaging resources (e.g., CANDIShare), and psychological interventions in youth. Earlier work (2003–2015) focused heavily on structural and functional MRI studies of psychiatric disorders, including autism, bipolar disorder, and depression, often exploring cerebellar and limbic system abnormalities. Scientific Contributions: Co-developer of CANDIShare and the Internet Brain Volume Database Key contributor to the ReproNim initiative on reproducible neuroimaging Prolific collaborator in large-scale neuroimaging studies of psychiatric conditions Mr. Hodge has advised numerous research projects as a biostatistician and data scientist, though formal student advisement is not documented. He has not received any publicly listed grants or awards, but his work has been cited over 200 times in high-impact journals. He is a member of the American Statistical Association and has participated in NIH-sponsored methodological summits. He is actively involved in the Neuroinformatics Program at UMass, working to build collaborative environments for data sharing and advanced statistical modeling in child psychiatry research.

• Neuroscience
• Neural Circuits
• Motivated Behaviors
• +۶ مورد دیگر

Konstantinos Meletis is a Professor at the Department of Neuroscience, Karolinska Institutet, Stockholm. His research focuses on understanding the neural circuit mechanisms underlying motivated behaviors and the circuit imbalances associated with mood disorders. He leads a research group investigating how brain circuits regulate emotional states, stress responses, and decision-making processes. Education & Appointments: PhD in Cell and Molecular Biology, Karolinska Institutet (2006) Docent in Systems Neuroscience, Karolinska Institutet (2015) Professor of Systems Neuroscience, Karolinska Institutet (2021–present) Research Interests: Dr. Meletis' work combines cutting-edge techniques such as optogenetics, spatial transcriptomics, and circuit mapping to study dopamine systems, striatal pathways, and the molecular basis of mood disorders. Key themes include: Circuit mechanisms of chronic stress and aversive states Neural substrates of prosocial motivation Mapping brain-wide neuronal connectivity Role of hypothalamic-habenula circuits in emotional regulation Grants & Awards: 2024 Arvid Carlsson Foundation Prize for neuropsychiatric research Swedish Research Council grants (multiple awards since 2013) Knut and Alice Wallenberg Foundation grant (2020–2025) Lab & Collaborations: His group collaborates with teams across neurobiology and computational neuroscience. Key projects include developing molecular atlases of brain regions and studying neuronal vulnerability in Parkinson’s disease. The lab uses advanced imaging and genetic tools to dissect circuit-level dysfunction in mental health disorders.

Dhaminda Abeywickramaمشاهده پروفایل

پژوهشگر ارشد

• Autonomous Systems
• Assurance Engineering
• Formal Verification
• +۷ مورد دیگر

Roles and Affiliations: Dhaminda Abeywickrama is a Research Fellow in Autonomous Systems at the University of Manchester's Department of Computer Science. He leads assurance research for robotics and autonomous systems (RAS), focusing on safety, ethics, and security. His work is part of CRADLE, a center developing technologies for high-stakes industries like space and energy. Previously, he held roles at the University of Bristol (UKRI TAS Node in Functionality) and University of Warwick (agent-based norms research). He completed ERCIM and Marie Curie fellowships at VTT (Finland) and Fraunhofer FOKUS (Germany), with a focus on autonomic systems. Education: PhD in Software Engineering, Monash University (2010) First Class Honours in Computing, Monash University (2004) Research Interests: His expertise spans assurance engineering, autonomous systems, formal verification, multi-agent systems, and responsible AI. He develops frameworks for trustworthy robotics through model-driven design and dynamic assurance techniques. Key themes include emergent behavior analysis, sociotechnical risk modeling, and ethical decision-making in human-agent collectives. Publications: His work emphasizes cross-disciplinary approaches to assurance in robotics, with recent focus on swarm verification and trustworthiness specifications. Over 35 publications include peer-reviewed articles and conference papers, with 32 as first author. Key topics include robotic swarm validation, ethical AI, and self-adaptive system architectures. Awards and Grants: EU Marie Curie Fellowship (2013–2014) ERCIM Fellowship (2013–2017) Best Paper Award at WETICE’14 IBM Award at ICSOC’08 PhD Symposium Labs and Collaborations: CRADLE (University of Manchester), UKRI TAS Node (Bristol), and collaborations across academia and industry (e.g., Jaguar Land Rover, Volkswagen AG). Research integrates formal methods with real-world applications in robotics, safety-critical systems, and autonomous vehicle coordination.

• Gut-Brain Axis
• Functional Gastrointestinal Disorders
• Neuroscience
• +۳ مورد دیگر

Lukas Van Oudenhove is a Full Professor at the Faculty of Medicine, KU Leuven , affiliated with the Department of Chronic Diseases and Metabolism and the Translational Research in GastroIntestinal Disorders unit. He is a member of interdisciplinary institutes including the Leuven Centre for Health Humanities , KU Leuven Brain Institute , and Leuven.AI . His research focuses on the gut-brain axis , neuroinflammation , and psychosomatic mechanisms in functional disorders. Academic Rank: Professor Key Affiliations: Faculty of Medicine (KU Leuven), LCH², LBI, Leuven.AI His research spans functional brain imaging of visceral pain, stress-modulated fear memory, microbiome metabolite effects on cognition, and neuroinflammatory mechanisms in fatigue. He leads projects like The gut-immune-brain axis as key to IBD fatigue and Neuroinflammation in sleep-pain relationships . Recent work explores butyrate's epigenetic modulation of fear memory and erythritol's impact on reward systems . Scientific contributions include a psychobiological model for gut-brain disorders and insights into interoceptive differences in fibromyalgia. Awards: Poster Prize Award (4th European Stress Conference, 2025) He serves on governance bodies: Council of the Faculty of Medicine (senior academic staff) Council/Board of the Department of Chronic Diseases and Metabolism

• Neuroscience
• Decision Making
• Learning
• +۳ مورد دیگر

Armin Lak serves as an Associate Professor of Neuroscience at the University of Oxford's Department of Physiology, Anatomy and Genetics (DPAG), holding dual appointments as a Wellcome Trust Henry Dale Fellow and St John's College Fellow. His research centers on unraveling the quantitative circuit-level mechanisms underlying learning and decision-making processes through innovative interdisciplinary methodologies. Lak earned his PhD in neuroscience from the University of Cambridge under Wolfram Schultz, investigating midbrain dopamine neurons in economic decision-making. As a Sir Henry Wellcome Postdoctoral Fellow, he expanded his expertise at University College London (with Matteo Carandini and Kenneth Harris) and Cold Spring Harbor Laboratory (with Adam Kepecs), developing novel behavioral and computational frameworks to study frontal cortex and dopamine functions in perceptual decisions. His laboratory integrates high-count electrophysiology, cell type-specific calcium imaging, optogenetic manipulations, and controlled mouse behavioral paradigms with advanced computational modeling. This multi-pronged approach enables precise dissection of neural circuits involved in value-based choices, confidence assessment, and learning dynamics, with particular emphasis on dopamine signaling and prefrontal-striatal interactions. Analysis of his 2014-2025 publications reveals a cohesive research trajectory focused on dopamine's role in encoding prediction errors, decision confidence, and reward integration. His recent work extends into deep learning applications for neural modeling, three-photon imaging advancements, and anxiety-related cortical regulation, demonstrating consistent innovation in both theoretical frameworks and experimental techniques across systems and computational neuroscience. His distinguished scientific recognition includes: Wellcome Trust Henry Dale Fellowship Sir Henry Wellcome Postdoctoral Fellowship Lak's research program receives substantial support through his Wellcome Trust Henry Dale Fellowship, enabling independent investigation of neural circuit mechanisms. As principal investigator of the Lak Lab, he mentors graduate students and postdoctoral researchers while securing resources for cutting-edge equipment and collaborative projects that bridge neuroscience, engineering, and computational science. The Lak Lab operates as a dynamic interdisciplinary hub within DPAG, combining expertise in neural recording, optogenetic manipulation, behavioral analysis, and machine learning. Current team efforts focus on developing next-generation imaging techniques, mapping anxiety-related neural circuits, and creating computational models that translate neural activity into decision-making predictions, with implications for understanding psychiatric disorders involving impaired decision processes.

Amanda Guyerمشاهده پروفایل

استاد

• Developmental Psychology
• Neurobiology
• Adolescent Psychopathology
• +۷ مورد دیگر

Amanda Guyer is a Professor at the University of California, Davis , co-directing the Center for Mind & Brain and contributing to the Department of Human Ecology . She is affiliated with the Center for Neuroscience and the Center for Poverty and Inequality Research , focusing on neurobiological mechanisms underlying adolescent psychopathology. Education: Ph.D., M.Phil., M.S. in Developmental Psychology, Yale University B.A. in Psychology (Honors), Skidmore College Her research examines how adolescents process facial emotions , peer evaluation , and social threats , linking neural circuitry to depression , anxiety , and substance use . She investigates age-related differences , pubertal influences , and environmental stressors like poverty and family dynamics. Recent publications highlight her work on neurobiological predictors of mental health, including machine learning models for depression, cross-cultural nutrition studies , and peer influence mechanisms . Her lab, the Teen Experiences, Emotions, and Neurodevelopment Lab , integrates fMRI , longitudinal data , and social context to address mental health disparities in marginalized communities. Scientific Awards: Elected Fellow, Association for Psychological Science (2019) Chancellor’s Fellow (2014-2019) William T. Grant Scholar (2011-2016) NARSAD Young Investigator Award (2005-2007) She mentors graduate students, teaches courses on adolescent development , and advocates for neurobiological research to mitigate mental health inequities through policy and intervention.

• Neuroscience
• Nutrition
• Neuroendocrinology
• +۳ مورد دیگر

Carlos Portugal-nunes is a researcher affiliated with Universidade Lusófona in Portugal, with a focus on Neuroscience and its intersections with Nutrition , Neuroendocrinology , and Metabolism Regulation . He holds a PhD in Ageing and Chronic Disease from a consortium of Portuguese institutions, a Master's in Health Sciences, and a Bachelor's in Nutritional Sciences.

Ashutosh Trivediمشاهده پروفایل

دانشیار

• Safety in AI
• Reinforcement Learning
• Formal Methods
• +۴ مورد دیگر

Ashutosh Trivedi is an Associate Professor of Computer Science at the University of Colorado Boulder, where he leads research in the Programming Languages and Verification (CUPLV) group. His work focuses on making AI systems more trustworthy through the application of formal methods, particularly in safety-critical applications like medical devices and legal software. Trivedi's research interests span Safety in AI, Reinforcement Learning, Formal Methods, Software Fairness, and Software Accountability. He uses mathematical precision from formal methods to address the challenges of AI systems that learn from data rather than following fixed rules. His approach involves using formal languages, automata, and logic to turn vague natural-language instructions into clear specifications, enabling collaborative programming with AI that is explainable and reliable. His recent publications reveal a strong trend toward bridging formal verification techniques with reinforcement learning, particularly in safety-critical domains. His work frequently appears in top venues including AAAI, CAV, ICSE, and NeurIPS, with a focus on making AI systems behave safely, fairly, and responsibly even as they learn and adapt. Distinguished Paper Award at CAV for Regular Reinforcement Learning (2024) Senior Member of the ACM (2024) Royal Society Wolfson Visiting Fellowship (2024) NeuS 2025 Disruptive Idea Award NeuS'25 paper accepted for oral presentation Trivedi actively mentors PhD students, with recent graduates including Shadi Tasdighi Kalat (2025), Mateo Perez (2025), John Komp (2024), Vishnu Murali (2024), and Taylor Dohmen (2024). His students' theses focus on formal languages for reinforcement learning, safety verification, and principled AI system design. He leads the Programming Languages and Verification (CUPLV) research group at the University of Colorado Boulder, which develops formal techniques to verify and improve the reliability of programming languages and software systems, with particular emphasis on AI safety and accountability.

Kerri P Petersمشاهده پروفایل

استادیار بالینی

• Applied Behavior Analysis
• Autism Spectrum Disorders
• Intellectual Disabilities
• +۳ مورد دیگر

Kerri P Peters, Ph.D., BCBA-D, serves as Clinical Assistant Professor in the Department of Psychiatry at the University of Florida and Administrative Director of the UF Health Center for Autism and Neurodevelopment (UF Health CAN). Her dual role bridges academic scholarship with clinical leadership in neurodevelopmental disorders. Her educational trajectory includes: Post-doctoral Associate (2013-2019) at University of Florida Ph.D. in Psychology (2013) from University of Florida Master of Science in Behavior Analysis (2007) from University of North Texas Bachelor of Science in Psychology and Education (2004) from University of Florida Dr. Peters' research centers on applied behavior analysis with critical emphases on autism spectrum disorders, intellectual disabilities, and severe behavior consultation. Her clinical work focuses on program development, caregiver training, and multidisciplinary care models that translate evidence-based practices into real-world settings. She pioneers interventions addressing skill acquisition, challenging behaviors, and systemic barriers in service delivery. Analysis of her 15 most recent publications reveals dominant themes: workforce sustainability (40% of articles address therapist burnout and training), methodological refinements in behavioral interventions (35%), and innovative assessment approaches for autism (25%). Her work increasingly integrates implementation science to bridge research-practice gaps. Key recognitions include: Henry C. & Audrey S. Schumacher Dissertation Award (2013) UF Department of Psychology Travel Award (2011-2012) Best Applied Poster Submission (2007) Student Presenter Grant (2007) As Principal Investigator, she directs $1.2M+ in active grants addressing Florida's behavioral health crisis. Current projects include: (1) Addressing the Behavior Therapist Shortage (2024-2025, $450k) developing pipeline solutions, and (2) UF and Florida Autism Center Clinical Quality Contract (2025-2027, $780k) establishing standardized care metrics. Her grant portfolio demonstrates consistent focus on workforce development and service accessibility. She leads UF Health CAN's multidisciplinary team of 32 clinicians and researchers, overseeing clinical operations while driving research initiatives that shape state-level autism service delivery standards.

Chris Baileyمشاهده پروفایل

دانشیار

• Opioid Tolerance
• Neuronal Changes from Drugs of Abuse
• Synaptic Plasticity
• +۵ مورد دیگر

Chris Bailey is a Reader (equivalent to Associate Professor) in the Department of Life Sciences at the University of Bath, where he leads research in the Centre for Therapeutic Innovation. His laboratory focuses on understanding the neuronal changes caused by drugs of abuse, with particular emphasis on opioid tolerance and addiction mechanisms. He currently serves as Principal Investigator on multiple active research projects funded by the Medical Research Council and Biotechnology and Biological Sciences Research Council. Research Focus Dr. Bailey's primary research investigates the molecular mechanisms underlying opiate tolerance, specifically examining how prolonged opioid administration leads to receptor desensitization and internalization at the µ-opioid receptor. His groundbreaking work has demonstrated that different ligands at this receptor can trigger desensitization through entirely distinct intracellular signaling pathways. Current research directions include elucidating the precise relationship between receptor desensitization and behavioral tolerance, as well as investigating synaptic plasticity changes in key brain regions associated with addiction (ventral tegmental area, nucleus accumbens, and prefrontal cortex). His laboratory employs sophisticated methodologies including electrophysiological recordings, real-time cell imaging, and comprehensive behavioral assessments of reward, analgesia, and respiratory depression. Recent work has expanded into understanding the dangerous interactions between benzodiazepines and opioids that contribute to overdose deaths, with the goal of developing evidence-based harm reduction strategies. Research Impact Analysis of Dr. Bailey's recent publication record reveals a strong focus on translational opioid pharmacology, with particular emphasis on receptor signaling mechanisms, overdose prevention, and sex-specific responses to opioid drugs. His work increasingly addresses the public health crisis of opioid overdose through studies examining benzodiazepine-opioid interactions and developing novel harm reduction approaches. The research shows growing interdisciplinary collaboration between neuroscience, pharmacology, and public health domains. Research Projects Functional roles of presynaptic opioid receptors (2022-2026) Opioid overdose deaths: Understanding lethal benzodiazepine-opioid interactions (2022-2026) Buvidal and kappa opioid receptor blockade (2021-2022) New tools for acute spatiotemporal control of GPCR signalling in vivo (2020-2023) Academic Contributions Dr. Bailey actively supervises doctoral students and has completed supervision of 13 research students. His work contributes to UN Sustainable Development Goal 3 (Good Health and Well-being) through research on addiction mechanisms and overdose prevention. He collaborates extensively with researchers including Sambrook, Williams, and Husbands, and his research has been cited over 50 times in the past two years according to available metrics.

Gabrielle Weidemannمشاهده پروفایل

استاد

• Associative Learning
• Behavioral Neuroscience
• Cognitive Processes in Conditioning
• +۳ مورد دیگر

Gabrielle Weidemann is a Professor in Psychological Science at Western Sydney University, with a career spanning over 20 years. Her academic journey began with a PhD in Behavioral Neuroscience from the University of New South Wales (UNSW) in 2005, followed by an Associate Professorship at Western Sydney University (2016-2024). Research Focus Her work explores associative learning mechanisms in humans and non-human animals, with applications in Drug addiction models Anxiety disorder treatments Nursing practice innovations Augmented reality cognition studies Recent publications analyze societal challenges like disability caregiving dynamics, food craving psychology, and therapeutic knitting practices. While not explicitly listing awards, her research receives funding from the Australian Research Council and Department of Defence. As a passionate advocate for mental wellbeing, she personally uses knitting to manage stress - a practice she also investigates for broader therapeutic applications in high-pressure professions and educational settings.

• Genomic Medicine
• Neuroscience
• Substance Use Disorders
• +۴ مورد دیگر

David Baranger is an Assistant Professor at the Medical College of Wisconsin within the Department of Pharmacology and Toxicology . His research spans genomic medicine , neuroscience , and substance use disorders , with a focus on genetic predisposition to disease , brain imaging , and longitudinal developmental studies . Research interests include: Genetic mechanisms of adolescent alcoholism and cannabis use Neuroimaging correlates of substance exposure and psychopathology Genome-wide association studies (GWAS) in child development cohorts Application of machine learning to neuroimaging data Recent publications highlight trends in multi-ancestral genomics , prenatal exposure effects , and neuroanatomical variability . Key methodologies include fMRI , polygenic scoring , and longitudinal analysis of the ABCD study cohort. Collaborations span Neuroscience Research Center and Wisconsin Institute of NeuroScience (WINS) .

Max Karukiviمشاهده پروفایل

استاد

• Adolescent Psychiatry
• Child and Adolescent Mental Health
• Maternal Mental Health
• +۹ مورد دیگر

Max Karukivi is a Professor in Adolescent Psychiatry at the Department of Psychiatry, Faculty of Medicine, University of Turku. He serves as the responsible teacher for adolescent psychiatry, overseeing medical student education, specialist training, and doctoral programs in the field. He also leads psychotherapy training within the department. His research is centered on three themes: epidemiological research, patient-based studies, and intervention development. His work explores maternal mental health, neurodevelopmental disorders, eating disorders like anorexia nervosa, vaccination hesitancy, and identity development in gender dysphoria. He is affiliated with the Adolescent Mental Health Research Program , contributing to national training frameworks using Entrustable Professional Activities (EPAs). His recent publications (2024–2025) span high-impact journals in psychiatry, psychology, and health sciences. These works reflect a strong interdisciplinary focus, combining clinical psychiatry with epidemiology, neuroscience, and social sciences. Key trends include mental health across developmental stages, parent-child interactions, and systemic challenges in service delivery. Scientific Contributions: Published in Molecular Psychiatry , Archives of Women's Mental Health , European Journal of Special Needs Education , and others. Active in register-based, cohort, and intervention studies. Collaborates widely across disciplines including psychology, pediatrics, dentistry, and social policy. He supervises specialist and doctoral training and is involved in competence-based medical education. While specific grants are not listed, his participation in cohort studies (e.g., FinnBrain) and national programs suggests active grant-funded research. He plays a key role in developing structured training and assessment systems in adolescent psychiatry. He is part of a multidisciplinary research environment within the Adolescent Mental Health Research Program, working with experts in child psychiatry, neuroscience, and public health. His team engages in both clinical and population-level research, aiming to improve mental health services for children and adolescents.