جست‌وجوی استاد و پژوهشگر

Ilker Hacihalilogluمشاهده پروفایل

دانشیار

• Artificial Intelligence in Healthcare
• Medical Image Processing
• Machine Learning Applications
• +۸ مورد دیگر

Dr. Ilker Hacihaliloglu is an Associate Professor in the Department of Radiology and Medicine at the University of British Columbia's Faculty of Medicine. He holds a PhD from UBC (2010) and has held faculty positions at Rutgers University (2014-2021). His research focuses on applying machine learning to medical imaging, aiming to bridge clinical and engineering research for practical healthcare solutions. Key areas include AI-driven diagnostics, ultrasound imaging, and personalized medicine. Education: B.Sc. and M.Sc., Istanbul Technical University (2001, 2004) Ph.D., University of British Columbia (2010) Postdoctoral Fellow, Vancouver General Hospital (2010-2013) Research Interests: Artificial Intelligence in Medical Imaging Ultrasound-Based Diagnostics Image-Guided Surgery Computer-Aided Diagnostics for Orthopedics and Neurosurgery His work emphasizes explainable AI, standardization in machine learning metrics, and clinical translation of technologies. Scientific Contributions: Over 35 peer-reviewed articles (2019-2025) highlight innovations in medical image segmentation, AI-driven radiomics, and cross-modality imaging. Recent trends focus on synthetic data augmentation, diffusion models for medical imaging, and curriculum development in AI for healthcare. Grants and Advising: No explicit grants mentioned, but active mentorship in interdisciplinary research teams. Collaborations span clinicians, engineers, and computer scientists to address real-world healthcare challenges. Labs/Teams: Engaged in computational ultrasound and AI-driven diagnostics initiatives, though specific lab names are not provided in the text.

Emmanuel Stamatakisمشاهده پروفایل

پژوهشگر ارشد

• Neuroscience
• Neuroimaging
• Cognitive Neuroscience
• +۵ مورد دیگر

Dr. Emmanuel Stamatakis is a Senior Research Associate at the University of Cambridge, affiliated with the School of Clinical Medicine and the Division of Anaesthesia. He maintains research ties with the Centre for Speech, Language, and the Brain (CSLB) while focusing on neuroimaging, consciousness studies, and traumatic brain injury (TBI) mechanisms. Institution: University of Cambridge Primary Affiliation: School of Clinical Medicine, Division of Anaesthesia Research Affiliation: Centre for Speech, Language, and the Brain (CSLB) Academic Rank: Research Fellow His research spans neuroscience, neuroimaging, and anaesthesia, with particular emphasis on: Consciousness dynamics under pharmacological and pathological conditions Functional and structural brain connectivity in TBI and delirium Neural mechanisms of anaesthetic agents Evolutionary and comparative neuroscience of brain states Long-term outcomes after neurological trauma Neurotechnology applications in clinical settings Recent publications reveal trends in: Quantifying consciousness through functional gradients and harmonic decomposition Linking anaesthesia-induced neural changes to clinical outcomes Exploring genetic and inflammatory factors in TBI recovery Multi-modal imaging approaches to neurological disorders Translational studies bridging animal models and human conditions Methodological advancements in brain network analysis

Sharib Aliمشاهده پروفایل

استادیار

• Biomedical Image Analysis
• Computer Vision
• Machine Learning
• +۱۲ مورد دیگر

Dr. Sharib Ali is a Lecturer (Assistant Professor) in the School of Computer Science at the University of Leeds, Faculty of Engineering and Physical Sciences. He is affiliated with the Leeds Cancer Research Centre and actively contributes to research in biomedical image analysis and computer vision. His work bridges cutting-edge AI with clinical applications, particularly in endoscopy and surgical technologies. PhD in Medical Image Analysis, University of Lorraine, France MSc in Computer Vision (by research), University of Burgundy, France Dr. Ali's research focuses on biomedical image analysis , computer vision , and machine learning , with applications in early cancer detection , computational endoscopy , and 3D reconstruction . He develops robust algorithms for segmentation, registration, depth estimation, and mosaicking, using both classical mathematical models and deep learning. His work emphasizes translational research and generalisability in real-world clinical settings. The recent publications highlight a strong trend in generalisability assessment , multi-modal data fusion , and AI benchmarking in endoscopy. His work spans from foundational algorithm development to clinical deployment, including federated learning , mixed reality in surgery , and multi-centre datasets , addressing key challenges like bias, data imbalance, and privacy. Dr. Ali has co-supervised multiple DPhil/PhD students and currently supervises several PhD candidates at the University of Leeds, University of Oxford, and Tec de Monterrey. He is actively involved in securing research funding and leading projects such as Leveraging multi-modality data for targeted biopsy and Federated learning in healthcare . He is a founding member of NAAMII, Nepal, where he volunteers to train students from LMICs. He also organizes international research initiatives including the EndoCV and P2ILF challenges at MICCAI, and serves on program committees and as a reviewer for journals like Nature Communications and Medical Image Analysis . His research is conducted within interdisciplinary teams, collaborating with clinicians from Oxford NHS University Hospitals, neuroscientists at Forschungszentrum Jülich, and engineers across Europe. He leads the development of open tools and datasets to advance the field of endoscopic computer vision.

Christophe Grovaمشاهده پروفایل

استاد

• Biomedical Engineering
• Neuroscience
• Epilepsy Research
• +۵ مورد دیگر

Christophe Grova , Professor in the Department of Physics at Concordia University and scientific lead of the PERFORM physiology platform , is a multidisciplinary researcher at the intersection of Biomedical Engineering , Neuroscience , and Medical Physics . He directs the Multimodal Functional Imaging Laboratory , focusing on advanced neuroimaging techniques like EEG/MEG , fMRI , and fNIRS to study brain mechanisms in epilepsy and sleep . His work emphasizes multimodal data fusion to uncover neurovascular coupling and functional connectivity patterns, with software developments such as MEM and NIRSTORM enhancing analysis precision. Key Research Areas : Epilepsy, Sleep Studies, Neuroimaging, Computational Neuroscience, Multimodal Data Fusion Affiliations : Full Professor at Concordia University (Physics), Adjunct Professor at McGill University (Biomedical Engineering, Neurology and Neurosurgery). Scientific Awards : Not explicitly listed in the provided text. Software Contributions : Developed MEM (EEG/MEG source localization) and NIRSTORM (fNIRS analysis) for open-source platforms like Brainstorm .

Wendy Hellerمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Emotion-Cognition Interactions
• Neuroimaging
• +۷ مورد دیگر

Wendy Heller is a Professor of Psychology at the University of Illinois at Urbana-Champaign, affiliated with the Cognitive Neuroscience Group at the Beckman Institute (part-time), Gender and Women's Studies, Biomedical and Translational Sciences, and the Institute for Sustainability, Energy, and Environment. She previously served as Director of Clinical Training and Department Head in the Psychology Department, and as Provost Fellow for diversity initiatives. B.A. in Spanish and Psychology with Honors, University of Pennsylvania M.A. and Ph.D. in Biopsychology, University of Chicago Her research focuses on neural mechanisms of emotion-cognition interactions in psychopathology, particularly anxiety and depression. Using fMRI, EEG, and ERP methods, she investigates brain lateralization, network connectivity, and top-down emotional regulation. A pioneer in inclusive science , she integrates equity considerations into psychology research frameworks. The 2010-2025 publications demonstrate sustained contributions to anxiety/depression neuroscience , with recurring themes in executive dysfunction , emotion regulation , neural plasticity , and transdiagnostic models . Her work bridges clinical psychology and cognitive neuroscience through methodological innovations in machine learning applications to neuroimaging. Scientific recognition includes: Larine Y. Cowan Make a Difference Award (2010) Arnold O. Beckman Research Award (2013) Executive Officer Distinguished Leadership Award (2019) PRESIDENT’S EXECUTIVE LEADERSHIP PROGRAM (2019-20) LAS Impact Award (2021) As director of the Cognitive & Affective Neuroscience of Psychopathology (CANOPY) Lab , she leads research on brain mechanisms in mental health, funded by NIMH and NIDA. Her team employs multi-modal approaches combining behavioral tasks, neuroimaging, and clinical assessments.

Lubo Zhangمشاهده پروفایل

استاد

• Perinatal Biology
• Hypoxia Research
• Vascular Pharmacology
• +۴ مورد دیگر

Lubo Zhang, PhD, is a Professor in the Pharmacology Division at Loma Linda University School of Medicine, serving as Director of the Center for Perinatal Biology. With over 386 publications and 13 NIH-funded projects, his work focuses on hypoxia adaptation, epigenetic programming, and maternal-fetal cardiovascular interactions. Education: PhD in Biology from Iowa State University (1990) Research Interests: Zhang's research investigates hypoxia-induced vascular dysfunction, microRNA regulatory mechanisms in pulmonary hypertension, and epigenetic modifications from prenatal exposures. His team explores calcium signaling pathways in uterine artery adaptation and mitochondrial oxidative stress in pregnancy complications. Recent Publications: 2024-2025 work highlights hypoxia's role in maternal vascular tone, microRNA-210's regulation of mtROS in pulmonary hypertension, and epigenetic consequences of maternal e-cigarette exposure. Key findings connect prenatal nicotine to adult cardiovascular vulnerability and identify TET2 as a critical mediator of hypoxia responses. Awards: Recipient of the Loma Linda University Adventist Health Sciences Center Centennial Vanguard Award (2006) Funding: Research funded by NIH (NICHD, NHLBI), National Science Foundation (MRI acquisition), and institutional grants. Projects include multi-omics approaches to fetal hypoxia adaptation and development of advanced imaging techniques for neonatal brain injury.

David Beversdorfمشاهده پروفایل

استاد

• Autism Spectrum Disorder
• Cognitive Neuroscience
• Functional Neuroimaging
• +۶ مورد دیگر

David Beversdorf is a Professor at the University of Missouri, holding appointments in the departments of Radiology, Neurology, and Psychology. He is affiliated with the Thompson Center for Autism and Neurodevelopmental Disorders, where he leads the Cognitive Neuroscience Lab (Suite 110). His academic career includes foundational training at Indiana University, a neurology residency at Dartmouth, and a behavioral neurology fellowship at the University of Florida. Prior to joining the University of Missouri, he served on the faculty at Ohio State University. Research interests center on autism spectrum disorder, with a multidisciplinary approach spanning cognitive neuroscience, functional neuroimaging (fMRI), and neuropsychopharmacology. Key focus areas include stress-cognition interactions, pharmacological modulation of cognitive flexibility (e.g., propranolol studies), gene-environment interactions in autism development, and prenatal stress impacts. His work bridges clinical and translational neuroscience, aiming to identify biomarkers and novel treatments. His publications (2017–2022) demonstrate strong trends in autism research, particularly: Neuroimaging biomarkers (fMRI, MR spectroscopy) for autism and stress responses Pharmacological interventions targeting noradrenergic systems Prenatal stress, immune dysregulation, and genetic interactions Gut-brain axis mechanisms in autism comorbidities Grant support includes funding from: National Institute of Neurological Diseases and Stroke (NINDS) National Institute on Drug Abuse (NIDA) Department of Defense (DoD) Stallone Fund National Alliance for Autism Research (NAAR) The Cognitive Neuroscience Lab investigates autism, dementia, stress-related cognitive changes, problem-solving neuroscience, and pharmacological modulation of cognition. The lab collaborates with the University of Missouri's Brain Imaging Center.

Socrates Dokosمشاهده پروفایل

دانشیار

• Biomedical Engineering
• Computational Neuroscience
• Cardiology
• +۴ مورد دیگر

Associate Professor Socrates Dokos is Deputy Head of the Graduate School of Biomedical Engineering at UNSW Sydney. His research focuses on computational modeling of electrical and mechanical properties in excitable tissues, with over 160 publications and a sole-authored textbook on Modelling Organs, Tissues, Cells and Devices . He leads interdisciplinary work combining computational modeling, systems identification, and experimental electrophysiology. Current IEEE EMBC Editor for Computational Systems & Synthetic Biology Member of EMBS Technical Committee on Therapeutic Systems and Technologies Key research areas involve Cardiac electrical and mechanical function modeling Retinal neural stimulation simulations Electroconvulsive therapy (ECT) optimization Biomechanical modeling of tissues and devices Parameter optimization for ionic cell models Cardiovascular-rotary blood pump interactions His recent publications demonstrate expertise in multi-scale biological modeling, cardiac hemodynamics, retinal prosthetics, and therapeutic neuromodulation techniques. He actively engages in developing standards for the Modeling Markup Language (MML) framework. Contact: Room 506, Samuels Building (F25), UNSW Sydney. Email: s.dokos@unsw.edu.au . ORCID: 0000-0002-7399-2712

• Neuroscience of Mindfulness
• Mental Health and Wellbeing
• EEG Microstate Sequencing
• +۷ مورد دیگر

Dr. Elena Antonova is a Senior Lecturer in Psychology at Brunel University London's Department of Life Sciences within the College of Health, Medicine and Life Sciences. She holds a PhD in Cognitive Psychology from King's College London and has held postdoctoral and academic positions at the Institute of Psychiatry, Psychology and Neuroscience (IoPPN) and the University of Hertfordshire. Her research bridges contemplative neuroscience and AI, focusing on mindfulness-based interventions for mental health, neural dynamics in meditation, and applications to schizophrenia and healthy aging. Education: BSc (UCL, 2000), PhD (IoPPN, 2004) Affiliations: Visiting Researcher at IoPPN, Senior Visiting Research Fellow at University of Hertfordshire's Adaptive Systems Research Group Her work integrates neuroimaging (fMRI, EEG), psychophysiology, and computational methods to study mindfulness expertise and its clinical applications. Recent projects include Mindfulness-based Environmental Sustainability (MiBEST) and Using mindfulness to reduce schizophrenia vulnerability , funded by the British Academy and the United States Air Force Office of Scientific Research. Key publications analyze neural substrates of mindfulness, Long-COVID cognitive effects, and AI risk mitigation via neurophenomenology. Her 2024 articles explore brain structure in COVID-19 survivors, sensory processing in meditators, and paranoia reduction in schizotypy populations. Scientific Recognition: Templeton Positive Neuroscience Fellowship (2011-2013) Elected Honorary Research Fellow, Mind and Life Institute (2017) Chair, European Varela Awards Review Panel Public engagement includes BBC documentaries and features on mindfulness neuroscience. She collaborates with Prof. Veena Kumari, Prof. Chrystopher Nehaniv, and institutions like King's College London and University of Hertfordshire.

Yuki Ogawaمشاهده پروفایل

استادیار

• Neurobiology
• Neuronal Structure
• Neural Connectivity
• +۶ مورد دیگر

Yuki Ogawa is an Assistant Professor in the Department of Biological Sciences at the University of South Carolina , affiliated with the College of Arts and Sciences . Her research focuses on the molecular mechanisms governing neuronal structure and connectivity, particularly the role of the axon initial segment (AIS) in synaptic formation and neuropsychiatric disorders like autism spectrum disorders . Her lab employs proteomics , adeno-associated viral vectors , and CRISPR genome editing to study AIS development and synapse maintenance. They also prioritize biochemical tool development to address unresolved neuroscience questions. Key collaborators include Matthew Rasband and Elisa V. de Freitas . Recent publications explore K2P K+ channel clustering , TRIM46 function , and localized gene transfer methods . The lab's work intersects neurobiology , cellular dynamics , and neuroengineered therapies , with implications for neuropsychiatric disease mechanisms. For inquiries, contact her at yuki.ogawa@sc.edu or visit the Ogawa Lab Website .

Lee S. Berkمشاهده پروفایل

پژوهشگر

• Psychoneuroimmunology
• Stress Research
• Neuroscience
• +۳ مورد دیگر

Dr. Lee S. Berk is the Associate Dean of Research at the School of Allied Health Professions and an Associate Research Professor in the Department of Pathology and Human Anatomy at the School of Medicine , Loma Linda University . His research spans psychoneuroimmunology , focusing on the physiological effects of mirthful laughter , humor , and neuroendocrine responses on stress, immune function, and brain health. Dr. Berk has served on numerous committees, including the Loma Linda University Health Research Oversight Committee and Board of Directors of the American College of Lifestyle Medicine . He has been an Editorial Board Member for the Journal of Physical Therapy and Rehabilitation and Advances in Mind-Body Medicine . His advisory roles include mentoring doctoral candidates Olivia Moses and Micheline Vargas . Over his career, Dr. Berk has been extensively featured in media outlets (e.g., CNN , NPR , Newsweek ) and has contributed to over 150 peer-reviewed publications. His work explores EEG gamma wave modulation , anti-oxidant effects on autism , and exercise interventions for inflammation and metabolic health . Current projects include studies on brain health , type 2 diabetes , and religious cognitive-behavioral therapy outcomes.

Shichun Lingمشاهده پروفایل

پژوهشگر

• Biopsychosocial
• Neurocriminology
• Antisocial behavior
• +۷ مورد دیگر

Shichun Ling is a Faculty member at the School of Criminal Justice and Criminalistics, California State University, Los Angeles. She holds a Ph.D. in Criminology from the University of Pennsylvania and a B.A. in Psychology and Social Behavior from the University of California – Irvine. Ph.D., Criminology – University of Pennsylvania B.A., Psychology and Social Behavior – University of California, Irvine Her research bridges biopsychosocial, neurocriminology, and developmental criminology to study antisocial behavior, psychopathy, and callous-unemotional traits. She examines autonomic functioning, brain structure/function, and societal perceptions of criminal justice. Recent publications explore resting heart rate interactions with empathy, HPA axis responsivity, and neurointerventions in offenders. Her work has been featured in PBS NOVA and The Future is Fantastic. 17 peer-reviewed articles (11 first-authored) 3 book chapters (2 first-authored) She teaches courses including Biopsychosocial Criminology, Statistics in Criminal Justice, and Theories in Criminal Justice. Office: Room 250, Hertzberg-Davis Forensic Science Center.

John Darrell Van Hornمشاهده پروفایل

استاد

• Human Neuroimaging
• Brain Health and Disease Biomarkers
• Computational Neuroscience
• +۱۲ مورد دیگر

John Darrell Van Horn is a Professor at the University of Virginia, holding dual appointments in the School of Data Science and the Department of Psychology . He joined UVA in 2019 and is actively engaged in research and teaching, including mentoring capstone projects in the M.S. in Data Science program and teaching brain mapping with MRI. Education: Ph.D. in Psychology, University of London M.S. in Electrical and Computer Engineering, University of Maryland, College Park B.A. in Psychology, Eastern Washington University Dr. Van Horn's research centers on human neuroimaging and the application of data science to understand brain health and disease. His work integrates high-performance computation , multivariate statistics , network theory , and image processing to extract meaningful patterns and biomarkers from brain imaging data. He is a strong advocate for FAIR data principles and open science , promoting transparency and reproducibility in neuroscience research. His publications span top journals including Science , Nature , Nature Neuroscience , NeuroImage , and Biological Psychiatry , reflecting a sustained impact in the fields of neuroscience and data science. The body of work demonstrates a consistent focus on computational modeling of brain structure and function, with applications in psychiatry and cognitive neuroscience. Scientific Recognition: Fellow, Organization for Human Brain Mapping (OHBM) Dr. Van Horn has served as a mentor for capstone research projects in the M.S. in Data Science program. While specific grant funding is not detailed, his research has been widely disseminated and featured in both academic and popular media, indicating successful funding and recognition. His prior academic roles at UCLA, USC, Dartmouth, and NIH fellowships underscore a distinguished career trajectory. He is affiliated with the broader neuroscience and data science communities through publications, open science advocacy, and professional recognition. His lab or research group is not explicitly named, but his work clearly involves advanced computational analysis of neuroimaging datasets, likely involving collaborative teams focused on brain mapping and data sharing initiatives.

Katherine Beckمشاهده پروفایل

مدرس

• Schizophrenia
• Neuroimaging
• Glutamate System
• +۴ مورد دیگر

Dr. Katherine Beck is an NIHR Clinical Lecturer at King’s College London’s Institute of Psychiatry, Psychology & Neuroscience and an Honorary Consultant Psychiatrist at South London and Maudsley NHS Foundation Trust. She completed her PhD on neuroimaging in psychosis funded by Rosetrees Trust and Royal College of Psychiatrists. Her research focuses on schizophrenia neurobiology, glutamate systems, and treatment-resistant psychosis. Education: PhD (King’s College London), Medical Degree. Research interests include neuroimaging techniques (PET/MRI), glutamate dysregulation in schizophrenia, and novel drug development targeting neural circuits. She leads studies on NMDA receptors, clozapine efficacy, and psychedelic drugs’ psychiatric implications. Key awards include Royal Society of Medicine and Schizophrenia International Research Society recognitions. She developed a specialized service for treatment-resistant schizophrenia patients and collaborates internationally across 15 countries.

Hiroshi Nishiyamaمشاهده پروفایل

دانشیار

• Electrophys
• Optogenetics & Chemogenetics
• Optical Imaging
• +۲ مورد دیگر

Hiroshi Nishiyama is an Associate Professor in the Department of Neuroscience at the University of Texas at Austin. His research focuses on synaptic plasticity and circuit reorganization in the mammalian cerebellum, with implications for learning, memory, and brain injury recovery. Education: B.S., Kyoto University (1992–1996) M.S., Kyoto University (1996–1998) Ph.D., Kyoto University & RIKEN Brain Science Institute (1998–2002) Postdoctoral Research, Johns Hopkins University (2002–2008) His work explores how cerebellar circuits are refined during development, reorganized in adulthood through learning, and rewired after injury. Techniques include electrophysiology , optogenetics , and long-term in vivo imaging of synaptic dynamics. Recent publications highlight mechanisms of Purkinje cell ablation , lesion-induced axonal sprouting , and dendritic translocation in synaptic competition. These studies span developmental neuroscience , neurotrauma , and neurodegenerative models . The Nishiyama Lab investigates cerebellar circuits as critical nodes in brain-wide functional architecture, bridging motor control and broader neurological disorders.