جست‌وجوی استاد و پژوهشگر

• Computational Biology
• Bioinformatics
• Mass Spectrometry Data Analysis
• +۵ مورد دیگر

Attila Kertesz-Farkas is a Hungarian-born academic currently serving as Assistant Professor at the Faculty of Computer Science, Department of Data Analysis and Artificial Intelligence, at the National Research University Higher School of Economics (HSE) in Moscow. Since 2021, he has also been Head of the Research and Educational Laboratory of Artificial Intelligence for Computational Biology. He joined HSE in 2015 after completing postdoctoral positions at the University of Washington and the International Centre of Genetic Engineering and Biotechnology. His educational background includes: Doctor of Science (2022) from National Research University Higher School of Economics PhD (2010) from University of Szeged Master's degree in Computer Science (2004) from University of Szeged Kertesz-Farkas's research focuses on the intersection of artificial intelligence and computational biology, particularly in mass spectrometry data analysis. His work spans computational proteomics, human gait analysis, and medical applications of machine learning. He develops novel algorithms for peptide identification, protein classification, and single-cell analysis, with applications ranging from cancer research to environmental contamination analysis. His research group actively explores how deep learning can improve the analysis of biological data that is inherently non-human readable. His scientific contributions have been recognized with several awards including a Letter of thanks from the Rector of HSE (December 2022), a Letter of gratitude from the Faculty of Computer Science (September 2021), and the Best presentation award at ICMLC 2023 conference. As an academic supervisor, Kertesz-Farkas mentors multiple PhD students working on diverse projects including generative models for mass spectrometry data, human gait control systems for prosthetics, and deep learning applications for single-cell analysis. His research is supported by the allowance for defending a doctoral dissertation (2022-2025) and various research projects at HSE. He leads the Laboratory of Artificial Intelligence for Computational Biology, which focuses on developing AI methods specifically tailored for biological data analysis problems. The laboratory conducts research in computational proteomics, medical applications of machine learning, and the development of tools for mass spectrometry data interpretation.

Daniel Howard Weissmanمشاهده پروفایل

استاد

• Attention
• Cognitive Control
• Distraction Minimization
• +۳ مورد دیگر

Daniel Howard Weissman serves as Professor of Psychology in the College of Literature, Science, and the Arts at the University of Michigan, with additional affiliation as Faculty Associate at the Research Center for Group Dynamics within the Institute for Social Research. His research centers on psychological mechanisms of attention and cognitive control, specifically investigating distraction minimization, cross-modal attention allocation, avoidance of attentional capture by salient stimuli, task-switching during multi-tasking, and statistical learning of environmental regularities. A core focus examines adaptive control—how recent experiences shape behavioral adjustments—as demonstrated through Stroop task paradigms showing reduced distraction after overcoming interference and during high-distraction blocks. Analysis of his 2019-2025 publications reveals concentrated investigation of conflict tasks (particularly prime-probe paradigms), congruency sequence effects, and proportion congruency phenomena. His work consistently explores dual-timescale adaptive control mechanisms spanning immediate trial-by-trial adjustments to longer block-wide adaptations, emphasizing episodic memory's role and examining neural correlates in aging and trauma contexts. Dr. Weissman maintains active laboratory research at the Research Center for Group Dynamics, employing cognitive psychology methodologies to dissect attentional and executive control systems through experimental paradigms measuring behavioral and neural responses.

Alan W. Chiuمشاهده پروفایل

استاد

• Neural Engineering
• Brain-Computer Interfaces
• Neuroprosthetics
• +۱ مورد دیگر

Dr. Alan W. Chiu serves as Professor and Samuel F. Hulbert Endowed Chair in the Department of Biology & Biomedical Engineering at Rose-Hulman Institute of Technology, where he specializes in neural engineering applications for neurological rehabilitation and assistive technologies. His academic credentials include: PhD in Electrical and Computer Engineering from University of Toronto (2006) MASc in Electrical and Computer Engineering from University of Toronto (2002) BASc in Engineering Science from University of Toronto (2000) Dr. Chiu's research centers on developing neural models and brain-computer interfaces (BCI) to restore functionality for individuals with neurological disabilities. His work integrates oscillator-based neural modeling with real-time BCI systems, focusing on neuroprosthetics and error-correction mechanisms in cognitive tasks. Current projects explore mixed reality environments for prosthetic control and strategies to mitigate sensory distractors in BCI applications. Analysis of his 2021-2024 publications reveals a dual trajectory: advancing BCI robustness through machine learning-enhanced signal processing (particularly in SSVEP and ERP paradigms), while simultaneously innovating biomedical engineering education through interdisciplinary curriculum design. His research consistently bridges theoretical neural modeling with practical assistive device implementation. His primary honor is the Samuel F. Hulbert Endowed Chair. Additional distinctions may exist but are not documented in the source material. Dr. Chiu actively mentors undergraduate researchers as supervisor of year-round and summer projects, building on his prior role as co-director of Rose-Hulman's Independent Project/Research Opportunities Program (IPROP). He contributes to accreditation standards as BMES Commissioner for ABET's Engineering Accreditation Commission, though specific grant funding details remain undisclosed. His research group focuses on translating neural engineering concepts into functional prototypes, with particular emphasis on EEG-based control systems and cognitive error detection frameworks for communication assistance.

Carin Marciszkoمشاهده پروفایل

دانشیار

• Developmental Psychology
• Cognitive Neuroscience
• Executive Function
• +۳ مورد دیگر

Carin Marciszko serves as an Associate Professor and Research Advisor at Uppsala University's Office for Medicine and Pharmacy, where she provides critical support to researchers securing external funding from Swedish and American agencies including NIH. Her institutional role centers within the Research Support Unit, bridging academic research and grant administration. PhD in Psychology Docent (Swedish academic title equivalent to Associate Professor) Dr. Marciszko's research program investigates the developmental trajectories of executive functions from infancy through adolescence, with particular emphasis on how motor control, attention, and working memory interact to shape cognitive and social outcomes. Her work integrates longitudinal methodologies with cutting-edge eye-tracking technologies to examine foundational processes in child development, especially regarding ADHD symptomatology and attachment dynamics. This research bridges cognitive neuroscience with clinical applications, revealing how early cognitive markers predict later behavioral outcomes. Analysis of her 15 most recent publications reveals consistent focus on developmental mechanisms of executive function, with increasing sophistication in methodological approaches from 2011-2020. Key thematic clusters include infant cognitive development (27% of publications), ADHD-related executive deficits (33%), and social-emotional correlates of cognitive development (20%), demonstrating both depth in core specialties and expansion into translational applications. As a research advisor, Dr. Marciszko facilitates grant acquisition across the medical and pharmaceutical faculties, though specific grant details aren't documented in available materials. Her position within the university's administrative structure supports faculty research without direct oversight of student training programs. Dr. Marciszko operates within Uppsala University's centralized Research Support Unit, collaborating with interdisciplinary teams across medicine and pharmacy faculties to enhance research competitiveness. Her dual role as active researcher and administrative support specialist creates unique synergy between theoretical knowledge and practical funding expertise.

Emily E. Nobleمشاهده پروفایل

دانشیار

• Nutritional Neuroscience
• Obesity Research
• Feeding Behavior
• +۵ مورد دیگر

Dr. Emily E. Noble serves as Associate Professor in the Department of Nutritional Sciences within the University of Georgia's College of Family and Consumer Sciences, where she directs the Nutritional Neuroscience Laboratory. Her research employs rodent models to investigate brain mechanisms controlling feeding behavior, energy balance, and diet-cognition relationships, with particular focus on obesity development and Western diet impacts. Her academic credentials include: PhD in Nutrition, University of Minnesota (2014) MS in Nutrition, University of Minnesota (2010) BA in Natural Science, Hampshire College (2001) Dr. Noble's research program examines neural signaling pathways regulating eating behaviors, body weight control mechanisms, and the cognitive consequences of adolescent nutrition and Western diets. Her laboratory investigates how dietary components alter hippocampal function and memory processes through gut-brain axis interactions, utilizing behavioral paradigms and neurobiological techniques to map neural circuits involved in food motivation and impulsivity. Current projects explore food insecurity effects, cannabinoid signaling, and developmental programming of obesity. Analysis of her 15 most recent publications reveals consistent thematic focus on nutritional neuroscience with strong emphasis on developmental windows (adolescence/early life), sex differences, and translational mechanisms linking diet to neural function. Her work spans molecular neuroendocrinology (leptin, oxytocin, MCH systems), behavioral phenotyping (food impulsivity, memory tests), and metabolic outcomes, demonstrating interdisciplinary integration of nutrition science and neuroscience. Her scientific recognition includes: Fellow of The Obesity Society (2023) Charles B. Knapp Early Career Scholar Award (2022) Bioserv Award in Experimental Animal Nutrition (2022) Multiple early-career awards from UGA and professional societies Dr. Noble actively mentors undergraduate researchers (evidenced by FACS Mentoring Award) and graduate students through FDNS 6900/8900 seminars. Her research is supported by grants from The Obesity Society and American Society for Nutrition, with recent funding recognizing innovative approaches to ingestive behavior research. She serves on editorial boards for Obesity Reviews and Physiology & Behavior , and holds leadership positions in The Obesity Society (Basic Science Representative) and Society for the Study of Ingestive Behavior. The Nutritional Neuroscience Laboratory maintains active rodent facilities for behavioral testing and neurobiological analysis, with current projects examining adolescent dietary interventions, astrocyte-neuron interactions in feeding circuits, and translational models of diet-induced cognitive impairment. Dr. Noble's team collaborates with exercise physiologists and microbiome researchers to investigate multi-system interactions in metabolic health.

• Child Development
• Cognitive Neuroscience
• Visual Perception
• +۴ مورد دیگر

Mayu Nishimura is an Assistant Professor in the Department of Psychology, Neuroscience & Behaviour at McMaster University. Her research focuses on developmental cognitive neuroscience, visual perception, and neuroplasticity. PhD in Psychology from McMaster University (2008) BScH in Psychology from Queen's University (2001) Nishimura's research investigates fundamental aspects of face processing, object recognition, and neural development in children. Her work examines how early visual deprivation affects facial identity perception and explores the emergence of invariant object representations in the brain. Recent studies focus on vision screening programs for children and socioeconomic influences on brain development. Her scholarly activity includes publications on topics such as: Visual outcomes in pediatric populations Development of perceptual invariance Neural substrates of agnosia Configural processing in autism Neuroplasticity in face perception Nishimura has extensive teaching experience across multiple departments, including courses in: Child Development (PSYCH 2AA3) Applied Psychology (HUMBEHV 3AP3) Scientific Communication (PNB 4SC6B) Adolescent Psychology (PSYCH 3AB3) She currently teaches at McMaster University's Faculty of Social Sciences.

Richard Ivryمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Motor Control
• Neuroplasticity
• +۳ مورد دیگر

Richard Ivry is a Professor of Psychology at the University of California, Berkeley. His research focuses on cognition and action, particularly the neural mechanisms underlying sensorimotor learning, motor adaptation, and cerebellar function. Affiliated with UC Berkeley's Department of Psychology, his work integrates behavioral experiments, neuroimaging, and computational modeling. Education: PhD in Psychology from the University of Oregon Research Interests: Cerebellar contributions to motor control and prediction Implicit and explicit learning processes Non-invasive brain stimulation techniques (e.g., TMS, kTMP) Neural basis of timing and temporal predictions Research Trends: Recent work emphasizes the cerebellum's role in semantic prediction, sensorimotor adaptation under attentional contexts, and novel stimulation methods like kilohertz transcranial magnetic perturbation (kTMP). Studies often involve collaborations with clinical populations (e.g., cerebellar degeneration, Parkinson's disease) to understand motor and cognitive deficits. Awards: None explicitly listed. Advising & Grants: No specific advisees or grant details provided. Research likely supported by institutional and external funding for experimental neuroscience. Labs/Teams: Affiliated with UC Berkeley's motor cognition and neurophysiology research groups, though specific lab names are not mentioned.

Olaf Dimigenمشاهده پروفایل

استادیار

• Visual Cognition
• Neuroscience
• Cognitive Psychology
• +۳ مورد دیگر

Olaf Dimigen is a tenured Assistant Professor of Experimental Psychology at the University of Groningen, Netherlands. Previously, he held a visiting professorship for Biological Psychology at Humboldt University Berlin (2018-2022) and conducted research at the Max Planck Institute for Human Development. His research focuses on understanding how the brain integrates eye movements with visual perception and cognition, leveraging EEG/eye-tracking co-registration and advanced signal analysis techniques. Key affiliations: Faculty of Behavioural and Social Sciences, Department of Experimental Psychology Education: PhD in Psychology from Humboldt University Berlin (2014) Research interests include: Neural mechanisms of active vision Fixation-related potentials (FRPs) and microsaccade-related activity EEG artifact correction and deconvolution modeling Cross-linguistic reading processes Development of open-source analysis tools (EYE-EEG, UNFOLD, OPTICAT) Selected contributions: Pioneered methods for analyzing temporally overlapping EEG signals using deconvolution (UNFOLD toolbox) Optimized ICA-based ocular artifact removal for free viewing EEG (OPTICAT method) Discovered cognitive modulation of microsaccade-related potentials as attention markers His work bridges cognitive psychology, neuroscience, and computational methods, with applications in language processing, scene perception, and cultural neuroscience.

Nitin Williamsمشاهده پروفایل

استاد مهمان

• Neuroscience
• Aging
• Functional Connectivity
• +۶ مورد دیگر

Nitin Williams is a Visiting Professor in the Department of Neuroscience and Biomedical Engineering. His research focuses on brain connectivity, aging, and neuroimaging techniques like MEG and fMRI. He has contributed to understanding functional connectivity dynamics, age-related neural changes, and computational models of brain networks. Recent work includes studies on TMS-evoked potentials, phase synchronization in resting-state networks, and discrete Ricci curvatures to analyze brain networks. He has collaborated internationally, including a visiting research stint at the Institute of Mathematical Sciences in India. Williams is an active member of academic communities, serving on editorial boards for journals like Frontiers in Computational Neuroscience and Network: Computation in Neural Systems . His datasets, including connectome analyses and biophysical models, highlight computational approaches to neuroscience challenges. Key research themes include: (1) Aging’s impact on neural plasticity and connectivity, (2) Biophysical modeling of phase synchronization, (3) Multimodal neuroimaging integration, and (4) Applications of graph theory in brain network analysis.

Beatriz Calvo-Merinoمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Neuroaesthetics
• Sensorimotor Systems
• +۳ مورد دیگر

Beatriz Calvo-Merino is an Associate Professor in Cognitive Neuroscience at City, University of London, where she also directs the MSc Clinical, Social, and Cognitive Neuroscience and the Joint PhD Programme in Psychology and Social Neuroscience. Her research focuses on sensorimotor processes, neuroaesthetics, and dance cognition, often collaborating with institutions like the Royal Opera House Ballet and Laban Dance Centre. She has received prestigious awards, including the 2019 BACN Early Career Award and the 2018 Alexander Gottlieb Baumgarten Award for contributions to neuroaesthetics. Her work combines fMRI, EEG, and behavioral studies to explore how sensorimotor expertise influences perception and aesthetic experiences. Education includes PhD training at University College London and Universidad Complutense de Madrid, with postdoctoral research at the Institute of Cognitive Neuroscience. She has pioneered interdisciplinary projects bridging neuroscience and performing arts, funded by ESRC, Leverhulme Trust, and Wellcome Trust. Despite career breaks for family, she maintains active research while supporting junior researchers. Notable collaborations include studies on dancers' interoceptive accuracy and multisensory perception of emotions. Research Themes: Sensorimotor aesthetics, embodied cognition, emotion perception Awards: BACN Early Career Award (2019), Baumgarten Award (2018), Ramon y Cajal Fellowship Key Projects: Dance-brain interactions, autism emotion perception, robotics-induced yawning studies

• Traumatic Brain Injury
• Cognitive Neuroscience
• Neuropsychology
• +۳ مورد دیگر

Michelle MCKERRAL is a Professor at the Department of Psychology , Faculty of Arts and Sciences , University of Montreal . Her research focuses on traumatic brain injury (TBI) , cognitive neuroscience , and neuropsychological rehabilitation . She leads interdisciplinary studies at the Interdisciplinary Research Center on Rehabilitation (CRIR) and Centre de recherche en sciences de la vision (CERNEC) . Ph.D. in Neurosciences & Psychology (1998) M.Ps. in Psychology & Clinical Sciences (1996) B.Sc. in Psychology (1992) Her research employs electrophysiological methods and neuropsychological tests to study brain function alterations after TBI and their recovery. Key areas include visual perception deficits , cognitive rehabilitation , and social participation outcomes . Recent work explores robotic exoskeleton interventions and virtual reality for postural control assessment . Notable projects include: 2023-2026 : Knowledge exchange grants about TBI 2019-2022 : Physical activity intervention for mild TBI 2018-2021 : Exoskeleton walking program for spinal injury She has supervised numerous doctoral students in TBI rehabilitation research and co-developed clinical tools like the Client's Intervention Priorities (CIP)© instrument. Her work appears in journals like NeuroRehabilitation and Brain Injury .

Shayne Loftمشاهده پروفایل

استاد

• Cognitive Psychology
• Applied Cognitive Psychology
• Human Factors
• +۴ مورد دیگر

Shayne Loft is a Professor at the School of Psychological Science, University of Western Australia (UWA), affiliated with UWA Data Institute and UWA Defence and Security Institute. He holds an ORCID identifier (0000-0002-5434-0348) and has extensive expertise in cognitive psychology, applied cognitive psychology, and human factors. His research focuses on automation transparency, decision-making, situation awareness, and prospective memory in safety-critical environments like aviation, maritime operations, and air traffic control. Education: PhD from The University of Queensland (funded by Australian Research Council and industry grants exceeding $6 million). Teaching includes Masters-level courses in Industrial/Organisational Psychology and Fourth-Year Statistics. Research interests emphasize cognitive processes in complex systems, particularly how humans interact with automated systems. Key themes include automation reliability perception, multitasking under pressure, and team performance in control room environments. His work addresses challenges in human-automation teaming, transparency design, and error detection in safety-critical tasks. Publications (135+ articles) explore topics like automation failure detection, decision support systems, and neurocognitive aspects of memory. Recent trends show focus on submarine control systems, air traffic management, and adaptive automation interfaces. Scientific Awards: School of Psychological Science Senior Research Award (2023) Grants: Over 37 projects including ARC grants (>$3M) and US Office of Naval Research collaborations Advising involves supervising 16 graduate students. Current lab focuses include cognitive modeling of automation interactions and developing human-centered interfaces for defense applications.

• Neuroscience
• Brain Stimulation Techniques
• Neuroimaging
• +۳ مورد دیگر

Dr. Nigel Rogasch is an ARC Externally-Funded Research Fellow at the University of Adelaide's School of Biomedicine within the Faculty of Health and Medical Sciences. He is affiliated with the SAHMRI (South Australian Health and Medical Research Institute) and the Adelaide Health & Medical Sciences Building (AHMS). His primary research focuses on combining transcranial magnetic stimulation (TMS) with neuroimaging techniques (EEG, MRI) to investigate brain dynamics, plasticity, and their roles in healthy and disordered cognition. Research Interests: Understanding mechanisms of working memory and short-term memory Developing TMS-EEG methods to study cortical networks Exploring excitation/inhibition imbalances in schizophrenia and other mental illnesses Modeling how brain stimulation interacts with cortical circuits His work emphasizes translational applications of brain stimulation in clinical settings, such as treating aphasia and autism spectrum disorder. He actively supervises Honours and HDR students in cognitive neuroscience, neurophysiology, and engineering-related fields. Labs & Teams: Brain stimulation, imaging and cognition group at SAHMRI and AHMS.

Emily Rosenichمشاهده پروفایل

پژوهشگر ارشد

• Dementia Research
• Cognitive Neuroscience
• Neurodegenerative Diseases
• +۳ مورد دیگر

Dr Emily Rosenich is a Postdoctoral Research Fellow in Neuropsychology at Monash University's Turner Institute for Brain and Mental Health within the School of Psychological Sciences. Her research focuses on vascular, lifestyle, and genetic contributors to cognitive decline and dementia, particularly the synergistic effects of vascular risk factors and APOE E4 carriage. She leads the NHMRC-funded BetterBrains trial, an online intervention targeting middle-aged adults with a family history of dementia. She holds a PhD from the University of South Australia (2020), where her work on cognitive reserve and stroke recovery earned international recognition. Education: Bachelor of Psychology (Honours), University of South Australia (2016) PhD in Clinical Neuroscience & Rehabilitation, University of South Australia (2020) Her research interests span cognitive/vascular disorders, modifiable/non-modifiable risk factors for neurodegenerative diseases, psychometrics, statistical modeling, and digital interventions. She actively promotes science communication through community outreach initiatives, including dementia literacy campaigns and mentoring programs for young women in neuroscience. Her work contributes to UN Sustainable Development Goals related to quality education and good health. Key achievements include the Alzheimer’s Association Research Fellowship (2023), International Neuropsychological Society Award (2022), and Turner Institute’s Excellence in Community Outreach Award (2022). She is a Fellow of the Turner Institute ECR Committee since 2021. Rosenich has published extensively on dementia prevention, BDNF genetics, and cognitive biomarkers, with 15 peer-reviewed articles since 2019. Current projects focus on tau biomarkers, modifiable risk factor frameworks, and digital intervention scalability in dementia prevention.

Julia M. Stephenمشاهده پروفایل

استاد مدعو

• Neuroscience
• Developmental Neuroscience
• Cognitive Neuroscience
• +۴ مورد دیگر

Julia M. Stephen serves as an Adjunct Professor in the Department of Physics and Astronomy at the University of New Mexico and holds dual appointments as Director of the MEG/EEG Core and Professor of Translational Neuroscience at the Mind Research Network (MRN). Her primary research基地 focuses on advanced neuroimaging techniques to investigate brain development across the human lifespan, with particular emphasis on translational applications for neurological and psychiatric disorders. Dr. Stephen earned her PhD from the University of Minnesota, establishing the foundation for her specialized work in biophysics and neuroimaging. Her educational background directly supports her current methodological expertise in magnetoencephalography and multimodal brain imaging approaches. Her research program centers on developmental neuroscience, specifically examining typical and atypical brain maturation from infancy through aging. Key investigation areas include fetal alcohol spectrum disorders (FASD), autism spectrum disorders, schizophrenia, and Alzheimer's disease, with a focus on identifying neural biomarkers through MEG, EEG, and fMRI. She employs rigorous multimodal approaches to study sensory processing, cognitive development, and neural network dynamics, particularly investigating how prenatal exposures and aging processes alter brain function. Analysis of Dr. Stephen's publication record reveals consistent focus on developmental trajectories of brain function, with strong emphasis on FASD (7/15 articles), schizophrenia (4/15), and neuroimaging methodology development (3/15). Her work demonstrates increasing specialization in infant and child neurodevelopment since 2018, with recent publications highlighting MEG applications for early biomarker identification in prenatal exposure conditions and multisensory integration deficits. Dr. Stephen leads multiple NIH-funded research initiatives including the DevMind Study (tracking childhood brain development), investigations into prenatal alcohol exposure markers, and schizophrenia-related multisensory processing projects. Her laboratory infrastructure includes the MEG/EEG Core facility at MRN, which provides advanced neuroimaging capabilities for developmental and clinical neuroscience research. As a Principal Investigator, she directs interdisciplinary teams comprising neuroscientists, physicists, and clinicians to advance understanding of brain-behavior relationships across the lifespan.