جست‌وجوی استاد و پژوهشگر

• Independent Component Analysis
• Clustering Methods
• Model Selection
• +۵ مورد دیگر

Jeffrey Durieux is a Researcher at the Department of Econometrics, Erasmus School of Economics, Erasmus University Rotterdam, specializing in advanced statistical methods for brain imaging data analysis. His work bridges econometrics, computational neuroscience, and machine learning to develop novel approaches for fMRI data interpretation. His research focuses on Independent Component Analysis , clustering methodologies , and model selection for high-dimensional neuroimaging datasets. Key contributions include Clusterwise ICA (C-ICA) frameworks for identifying neurofunctional subtypes, optimization of overlapping clustering strategies, and evaluation of data reduction techniques in big-data neuroscience contexts. His methodologies particularly address challenges in resting-state fMRI analysis and subject stratification. Durieux's publication record demonstrates consistent innovation in computational neuroscience since 2019, with increasing focus on practical implementations (e.g., R packages) and methodological rigor in clustering subject populations based on brain connectivity patterns. His work shows strong interdisciplinary impact across statistics, computer science, and clinical neuroscience. Scientific recognition includes: IOPS Best Paper Award 2022 (awarded June 8, 2023) IFCS Cluster Benchmarking Challenge 2022 Collaborative research efforts with S.A.R.B. Rombouts, T.F. Wilderjans, and other neuroimaging specialists reflect his integration within major neuroscience research networks, though specific grant funding or student supervision details remain unreported in available sources.

Camillo Porcaroمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neuroimaging Analysis
• Brain Activity Modeling
• +۴ مورد دیگر

Camillo Porcaro is an Associate Professor in Bioengineering at the Department of Neuroscience of the University of Padova. He holds roles such as Academic Board Member of the PhD in Neuroscience (PNC) and is an IEEE Senior Member. His career includes positions as Independent Researcher at the Institute of Cognitive Sciences and Technologies (ISTC) – National Research Council (CNR), Rome (2011–2021), Visiting Professor at ETH Zurich (2014–2015), and Adjunct Professor at the Polytechnic University of Marche (2015–2022). He also served as Head of the hdEEG Lab at S. Anna Institute and RAN, Crotone (2018–2021). Education: PhD in Functional Neuroimaging (2008), Institute of Advanced Biomedical Technologies (ITAB), University of Chieti, Italy Postdoctoral Fellow, University of Birmingham School of Psychology (2008) Research Focus: Developing analytical methods for neuroimaging data, including Independent Component Analysis (ICA) and Functional Source Separation (FSS). Current work emphasizes EEG-MRI integration, resting-state functional networks (RSN), and nonlinear methods like Fractal Dimension for neuronal dynamics characterization. Professional Roles: External Expert, European Research Executive Agency Ordinary Member, National Group of Biomedical Engineering Honorary Senior Research Fellow, Birmingham University Imaging Center (BUIC) Labs & Teams: Former Head of hdEEG Lab (RAN Institute), collaborator with KU Leuven’s Movement Control & Neuroplasticity Group (2016–2020).

• Anorexia Nervosa
• Cognitive Control
• Reward Processing
• +۳ مورد دیگر

Ilka Böhm is a Researcher at the Division of Psychological and Social Medicine and Developmental Neurosciences, Carl Gustav Carus University Hospital, Technical University of Dresden. Her research focuses on anorexia nervosa, cognitive control mechanisms, reward processing, and functional magnetic resonance imaging (fMRI). She completed her PhD (summa cum laude) in 2016 at TU Dresden under Prof. S. Ehrlich and Prof. A. Strobel, with thesis work at King's College London. Professional experience includes roles as a postdoctoral fellow (2017–present), doctoral fellow (2012–2016), and research positions at King's College London (2011–2012). Her work integrates neuroimaging techniques to study brain connectivity and genetic factors in eating disorders. Her research interests emphasize resting-state neuroimaging, cognitive neuroscience of eating behaviors, and translational approaches to anorexia nervosa. Recent studies explore DNA methylation's role in salience network connectivity and hedonic vs. controlled eating mechanisms. Awards: 2017 Dissertation Award, DAAD Travel Award (2014), Lutz-Adolf Stiftung Travel Award (2013) Advising/Grants: No formal advisees listed; active as a reviewer for International Journal of Eating Disorders , Human Brain Mapping , and others. Labs/Teams: Part of the Division of Psychological and Social Medicine and prior work in Eating Disorders Services and Research Center, TU Dresden.

• Developmental Neuroscience
• Eating Disorders
• Mental Disorders
• +۳ مورد دیگر

Stefan Ehrlich is a tenured Professor of Translational Developmental Neuroscience and Head of the Division of Psychological and Social Medicine and Developmental Neurosciences at the Technical University of Dresden. He holds dual roles as Vice Director of the Department of Child and Adolescent Psychiatry and Head of the Eating Disorder Research and Treatment Center. His academic journey includes a PhD from TU Dresden (2019) and an MD from Charité - Universitätsmedizin Berlin (2006), complemented by postdoctoral training at Harvard Medical School. His research focuses on the biological underpinnings of mental disorders, particularly eating disorders, exploring how genetic and environmental factors interact to influence brain development and behavior. Key themes include reward sensitivity, cognitive control mechanisms, and neural correlates of anorexia nervosa. Ehrlich’s work integrates neuroimaging, genetic analysis, and clinical intervention studies. Notable achievements include the Christina Barz Research Award (2015) and the Hilde-Bruch-Research Award (2012). His lab, the Translational Developmental Neuroscience Research Section, drives innovations in diagnostic biomarkers and treatment strategies for eating disorders. Collaborative projects span international consortia, such as the ENIGMA initiative, advancing understanding of brain structure and function in psychiatric conditions. Education: MD (2006), PhD (2019), Habilitation (2011) Affiliations: German Association of Eating Disorders (DGESS) Board Member (2019–present) Labs/Teams: Eating Disorder Research and Treatment Center, Translational Developmental Neuroscience Group

Moein Khajehnejadمشاهده پروفایل

پژوهشگر ارشد

• Active Inference
• Reinforcement Learning
• Computational Neuroscience
• +۴ مورد دیگر

Moein Khajehnejad is a Research Fellow in the Computational & Systems Neuroscience Laboratory at the Turner Institute for Brain and Mental Health, Monash University, working with Prof. Adeel Razi. His research integrates Active Inference, Reinforcement Learning, and Network Science to study biological mechanisms of cognition using in-vivo and in-vitro brain recordings. He holds a PhD in Data Science/AI from Monash University, focusing on task allocation in multi-agent systems via Game Theory and Evolutionary Graph Theory. He has conducted visiting research at institutions including Max Planck Institute, EPFL, and HKUST. Education: PhD in Data Science and AI (Monash University, 2023), specializing in Game Theory and Multi-Agent Systems. Prior academic qualifications include a focus on computational methodologies. Research Interests: Active Inference, Reinforcement Learning, Computational Neuroscience, Graph Representation Learning, and Multi-Agent Systems. His work bridges theoretical frameworks with experimental neuroscience, exploring how biological systems achieve lifelong learning through network dynamics and decision-making processes. Key Contributions: Published 10+ peer-reviewed articles across journals/conferences, including work on social learning dynamics, fairness in node representation, and neuronal network analysis. His research has been recognized through awards like the Best Reviewer Award at LoG 2022 and travel grants to NeurIPS 2019. Grants & Advising: Accepting PhD students since 2017. Collaborates internationally with teams in Switzerland, Singapore, and Hong Kong. Active in interdisciplinary projects linking AI, neuroscience, and complex systems. Labs & Affiliations: Core member of Monash’s Computational & Systems Neuroscience Lab. Affiliated with Turner Institute’s brain and mental health research programs.

James Coxonمشاهده پروفایل

دانشیار

• Neuroscience
• Exercise Physiology
• Cognitive Neuroscience
• +۵ مورد دیگر

James Coxon is an Associate Professor at Monash University's School of Psychological Sciences and an ARC Future Fellow. He is based at the Turner Institute for Brain and Mental Health and leads the Movement and Exercise Neuroscience Laboratory (MEXlab). His research focuses on understanding how exercise impacts brain plasticity, learning, and cognition, particularly in aging populations and neurological conditions. He holds a PhD in Human Movement Neuroscience from the University of Auckland and postdoctoral experience at KU Leuven, Belgium. Affiliations: Turner Institute for Brain and Mental Health, Victorian Heart Institute (VHI) Education: PhD in Human Movement Neuroscience (2007), University of Auckland; BSc (Hons) in Exercise Science (2003), University of Auckland Research interests span exercise physiology, movement neurophysiology, and cognitive neuroscience, with a focus on non-invasive brain stimulation techniques (EEG, MRI). Key goals include developing exercise-based interventions to promote healthy brain aging and improve symptoms in neurological disorders. Recent publications highlight the role of dopamine receptors, cortical inhibition, and high-intensity exercise in motor skill acquisition and memory consolidation. His work contributes to UN Sustainable Development Goals related to health and well-being. Grants: ARC-funded projects on motor skill learning and NHMRC grants for neural circuit dynamics research Editorial Roles: Editorial board member for Experimental Brain Research and The Journal of Physiology MEXlab collaborates internationally to investigate exercise-brain interactions, with a focus on translational research for clinical applications.

• Biomedical Imaging
• Neuroimaging
• Neurodegenerative Diseases
• +۳ مورد دیگر

Professor Gary Egan is a leading neuroscientist at Monash University's Monash Biomedical Imaging department. He specializes in neurodegenerative diseases such as Huntington's and Friedreich's ataxia, using advanced imaging techniques like MRI and X-ray synchrotron imaging to map disease progression. His research focuses on early detection of brain changes to enable preventive treatments, leveraging cutting-edge technologies such as deep learning for medical image analysis. Research Interests: Biomedical imaging and neuroimaging techniques Neurodegenerative disease mechanisms Early biomarker identification for neurodegenerative conditions Medical imaging technology development (MRI, PET-MR, synchrotron imaging) Projects: Leading studies on Huntington's disease using MRI to track brain changes Mouse model studies at the Australian Synchrotron to investigate cellular-level disease progression Cross-disciplinary collaborations in AI-driven medical image reconstruction (e.g., CL-MRI, Co-Manifold learning) Grants & Collaborations: Chief investigator on NHMRC-funded projects studying brain structure/function impacts Collaborations in AI-based image analysis frameworks International partnerships in neuroimaging and metabolic connectivity research Labs/Teams: Leads the Monash Biomedical Imaging team, collaborating with institutions like the Victorian Heart Institute (VHI) and Australian Synchrotron. Active in global initiatives like ENIGMA-Ataxia for coordinated neuroimaging research.

Luca Didaciمشاهده پروفایل

دانشیار

• Statistical Pattern Recognition
• Biometric Recognition and Security
• Semi-Supervised Learning
• +۴ مورد دیگر

Luca Didaci is an Associate Professor of Computer Engineering at the University of Cagliari's Department of Electrical and Electronic Engineering (DIEE), within the Faculty of Engineering and Architecture. He leads research in statistical pattern recognition, biometric systems, and EEG signal analysis, focusing on applications in security, healthcare, and machine learning. His work includes developing EEG-based personal identification techniques, semi-supervised learning methods, and advanced tools for histopathological image analysis. With an h-index of 16, his research has been cited over 950 times. He teaches courses on programming, software development, and computer science fundamentals across undergraduate and graduate programs. Didaci is affiliated with the Pattern Recognition and Application Lab at DIEE and contributes to the PhD Program in Electronic and Computer Engineering. His research interests span multiple classifier systems, biometric authentication, and cybersecurity. Recent projects include studying ADaM/SDTM clinical data formats and investigating adversarial machine learning threats to biometric systems. He actively publishes in top-tier journals and conferences, emphasizing interdisciplinary applications of AI in engineering and medicine.

Loren Koçillariمشاهده پروفایل

استاد مهمان

• Neuroscience
• Computational Neuroscience
• Systems Biology
• +۳ مورد دیگر

Loren Koçillari is a Visiting Professor at the University of Hamburg (UHH), affiliated with the Center for Molecular Neurobiology Hamburg (ZMNH) and the Department of Excellence for Neural Information Processing. His research focuses on neural information processing, computational neuroscience, and evolutionary biology. He holds a PhD and is a native English speaker. Research Interests: His work spans neural coding mechanisms, functional connectivity analysis, and evolutionary trade-offs in biological systems. He employs advanced computational tools like the MINT toolbox for multivariate neural data analysis and explores criticality in brain networks through whole-brain modeling. Recent Research Trends: Recent publications highlight studies on auditory cortex dynamics, evolutionary adaptations in reproductive systems, and criticality signatures in mouse neuroimaging. His work integrates experimental data with computational models to understand information transmission at both neuronal and systems levels. Labs & Affiliations: Associated with the ZMNH and the Center for Experimental Medicine's Institute of Neurophysiology and Pathophysiology, he collaborates on interdisciplinary projects combining neuroscience, systems biology, and evolutionary theory.

• Neurophysiology
• Neuroscience
• Clinical Neurology
• +۳ مورد دیگر

Dr. Marcus Siems is a Research Fellow at the Institute of Neurophysiology and Pathophysiology within the Medical Faculty of the University of Hamburg. His primary affiliation is with the Center for Experimental Medicine at the Universitätsklinikum Hamburg-Eppendorf (UKE). His research focuses on understanding neural mechanisms underlying brain function and dysfunction, particularly examining neuronal oscillations, functional connectivity, and phase-amplitude coupling using EEG/MEG technologies. His work spans both healthy and diseased brain states, with applications in neurology and clinical neuroscience. Key research areas include decision-making processes, pharmacological effects on neural activity, and biomarker development for conditions like Multiple Sclerosis. His contributions bridge basic neuroscience with clinical applications, emphasizing translational research. Professional contact is maintained through m.siems@uke.de.

• Cognitive Neuroscience
• Neuroimaging
• Ageing Research
• +۳ مورد دیگر

Dr. Daniel Cox is a Senior Lecturer in Cognitive Neuroscience and Neuroimaging at the University of Manchester's Division of Neuroscience and Experimental Psychology. He specializes in investigating healthy ageing's impact on cognitive and neuroanatomical changes, with a focus on quantitative MRI and computational neuroanatomy. He serves as Deputy Director for the MSc in Neuroimaging for Clinical and Cognitive Neuroscience, teaching advanced neuroimaging techniques and supervising students across multiple programs. Cox holds professional certifications including Chartered Psychologist (British Psychological Society) and Senior Fellow of the Higher Education Academy. Education: PhD in Cognitive Neuroscience, University of Manchester (2013) MRes in Psychological Research Methods (Cognitive Neuroscience), Aston University (2008) BSc in Psychological Science (Hons), University of Hertfordshire (2006) Research Interests: His work explores MRI-based neuroanatomical changes in ageing, sleep disorders (e.g., obstructive sleep apnea), and recognition memory. Notable methods include multi-modal MRI analysis, stereological measurements, and neuroimaging experimental design. Recent studies investigate hypoxia effects in sleep apnea patients and white-matter structural alterations in paediatric populations. Publications: Recent articles focus on cortical thinning in sleep apnea, reproducible scholarship pedagogy, and grey matter changes. Key themes include neuroimaging biomarkers for age-related decline, sleep disorder pathophysiology, and open science practices. Awards: Experimental Psychology Society Grindley Grant (2012) Guarantors of Brain Travel Grant (2010, 2018) ISMRM Educational Stipend (2016) Collaborations: Active partnerships with researchers including Prof. Daniela Montaldi (Manchester), Prof. Geoff Parker (UCL), and Dr. Alex Kafkas. His work contributes to UN Sustainable Development Goals related to health and well-being.

Maria Giulia Pretiمشاهده پروفایل

مدرس

• Neuroimaging
• Brain Connectivity
• Alzheimer's Disease
• +۳ مورد دیگر

Maria Giulia Preti is a Senior Scientist at MIPLAB, Research Staff Scientist at the CIBM Center for Biomedical Imaging (Switzerland), and a Lecturer (Maître-Assistante) at the University of Geneva. She holds a PhD in Bioengineering from Politecnico di Milano (2013) and completed postdoctoral research in Dimitri Van De Ville’s group at EPFL. Her work focuses on integrating neuroimaging techniques (fMRI, DTI, EEG, fNIRS) with graph signal processing to study brain function-structure relationships in health and disease. Key clinical applications include Alzheimer’s disease, epilepsy, multiple sclerosis, and stroke. She has pioneered methods like groupwise fMRI-guided tractography to study neurodegenerative pathologies. Education: PhD in Bioengineering (2013), Politecnico di Milano MSc in Biomedical Engineering (2009), Politecnico di Milano BSc in Biomedical Engineering (2007), Politecnico di Milano Research emphasizes multimodal neuroimaging integration and computational neuroscience. Notable achievements include developing connectome embedding techniques and demonstrating brain fingerprinting via spectral signatures. She received the Progetto Rocca fellowship (2011) supporting her work at MIT/Harvard Medical School. Ongoing projects investigate structure-function coupling dynamics, drowsiness markers, and DBS mechanisms in depression. Labs/Teams: MIP:Lab (part of the Van De Ville group at EPFL and University of Geneva collaborations).

Vincent P. Clarkمشاهده پروفایل

استاد

• Neuroscience
• Brain Stimulation
• Neuromodulation
• +۳ مورد دیگر

Dr. Vincent P. Clark is a Professor of Psychology and Director of the Psychology Clinical Neuroscience Center (PCNC) at the University of New Mexico (UNM). He holds additional roles as Professor of Translational Neuroscience at the Mind Research Network and Founding Chair of the Brain Stimulation and Imaging Meeting. His research focuses on developing neuroscience-based methods to address brain-related disorders and enhance cognitive function through neuromodulation techniques like tDCS, tACS, and transcranial ultrasound. He also serves on editorial boards for journals such as Human Brain Mapping and Brain Stimulation . Education: Ph.D., University of California, San Diego. Research Interests: Brain stimulation for neuroenhancement, understanding cognitive processes via neuroimaging (MRI, fMRI, EEG), and investigating neuromodulation effects on conditions like dementia, addiction, chronic pain, and schizophrenia. His work emphasizes closed-loop systems and multimodal approaches to optimize interventions. Recent Articles Highlight: Explores closed-loop tACS for sleep-dependent memory improvement, functional brain differences in substance use disorder relapse, and neuromodulation mechanisms. His studies bridge basic science and clinical applications, emphasizing translational outcomes. Lab Affiliations: PCNC and Mind Research Network, with a focus on integrating neuroimaging and stimulation techniques. He mentors students interested in cognitive neuroscience and neuromodulation.

Aaron S.W. Wongمشاهده پروفایل

مدرس پاره‌وقت

• Computer Science
• Artificial Intelligence
• Robotics
• +۱۶ مورد دیگر

Dr Aaron Wong is an Honorary Lecturer at the School of Psychology , University of Newcastle , with dual affiliations in Computer Science and Software Engineering . His career spans interdisciplinary research in robotics, cognitive neuroscience, and neuroimaging, supported by roles in the Functional Neuroimaging Laboratory and Priority Research Centre for Stroke and Brain Injury . Education: PhD in Computer Science, University of Newcastle Bachelor of Engineering (Computer Engineering) with Honours Bachelor of Computer Science Research Focus: Dr Wong's work bridges machine learning , humanoid emotion modeling , and multimodal neuroimaging (MRI/EEG). Key projects include developing brain-computer interfaces , acoustic localization systems for rescue robots, and semi-supervised manifold alignment techniques. Publication Trends: Recent articles emphasize theta oscillations in cognitive control , EEG-MRI joint modeling , and deep learning for speech emotion recognition . Collaborative themes span neurodevelopmental studies , stroke research , and urban robotics . Scientific Awards: 2008 RoboCup SPL World Champion 2011 RoboCup Australian Open Champion 2014 Global Leader of Innovation (UON) 2011 Best Student Paper (ANZAScA) Supervision & Grants: Served as co-supervisor for two PhD students. Secured $23,775 in grants including a 2018 Hunter Medical Research Institute award for EEG-MRI predictive modeling and 2016 Keats Endowment funding for cognitive flexibility research . Labs & Teams: Central to the Functional Neuroimaging Laboratory and PRC Stroke and Brain Injury , with global RoboCup collaborations and contributions to the Age-ility Project data repository.

Amanda Cheesemanمشاهده پروفایل

استادیار

• Wildlife Management
• Population Ecology
• Conservation Biology
• +۳ مورد دیگر

Amanda Cheeseman is an Assistant Professor in the Department of Natural Resource Management at South Dakota State University. Her research focuses on wildlife-habitat relationships in impacted ecosystems, employing interdisciplinary approaches to address conservation challenges. She holds a Ph.D. from SUNY College of Environmental Science and Forestry, an M.S. from Fort Hays State University, and a B.S. from Michigan State University. Her academic responsibilities include teaching courses such as Mammalogy, Habitat Conservation, and Ecological Modeling. Research interests span wildlife management, population ecology, spatial ecology, and mammalogy. Recent work emphasizes threatened species like cottontails, skunks, and weasels, exploring habitat management, reintroduction success, and climate-driven distribution shifts. Publications highlight innovative methods in conservation genetics, habitat modeling, and camera trap surveys. Her lab, the McFadden Biostress Laboratory, collaborates on projects like SNAPSHOT USA, a national camera trapping initiative. Professional affiliations include the American Society of Mammalogists and The Wildlife Society.