جستجوی استاد راهنمای دانشگاهی

Nora H Prior, PhD, is a Senior Research Associate in the Psychology Department at Cornell University, focusing on sensory systems, social behavior, and neurogenomics. Her research team explores avian behavioral neuroscience, with expertise in neuroendocrinology, bioacoustics, and comparative psychology. 2020-2021: Sessional Instructor & course designer, University of British Columbia 2018-2021: Postdoctoral Associate, Avian Behavioral Neuroscience Lab (University of Maryland) 2016-2018: Postdoctoral Fellow, Center for Comparative and Evolutionary Biology of Hearing (University of Maryland) 2015: Postdoctoral Fellow, Neuroethology & Bioacoustics Lab (University of Lyon) 2009-2014: PhD Candidate (University of British Columbia) Her research combines neuroendocrinology, bioacoustics, and behavioral ecology to study avian communication, pair bonding, and neurogenomic responses to environmental stressors. Key topics include: Acoustic fine structure in zebra finch communication Neuroendocrine regulation of monogamy and aggression Effects of water restriction on vocal behavior Differential gene expression in extreme physiological states Temporal processing of vocal sequences Perceptual limitations in avian cognition While her publications span from 2010-2025, recent work emphasizes methodological rigor in neuroscience research, environmental impacts on brain development, and neurogenomic resilience in wild birds. Her 2025 paper on Science Democratization addresses systemic challenges in behavioral neuroscience.

• Sensory Systems
• Social Behavior
• Neurogenomics
• +۴ مورد دیگر

Prof. Rasmus Gjedssø Bertelsen is Professor of Northern Studies and inaugural Barents Chair in Politics at UiT The Arctic University of Norway. A Danish scholar raised in Iceland, he directs work package 2 on Power with Science Diplomacy in the H2020 InsSciDE consortium, collaborating with Prof. Maria Rentetzi. His research spans transnational knowledge flows between USA-Europe-Middle East-East Asia-Arctic and focuses on elite socialization, epistemic communities, and science diplomacy’s role in adapting Arctic governance to global shifts. Education: PhD (Cambridge, with year at Sciences Po), postdoc (Harvard, UNU), studies in Copenhagen, Reykjavik, Geneva, Lausanne, Amsterdam Key Research Areas: Arctic International Relations, Science Diplomacy, Brain Circulation, Transnational Knowledge Networks, Power Transition, GCC Triple-Helix Relations His 15 most recent articles (2012–2024) examine Arctic governance, Sino-Arctic engagement, energy systems, and science diplomacy. Trends include historical learning for policy adaptation, China’s Arctic strategies, and the Arctic as a laboratory for global governance models. Bertelsen initiated UiT’s UNFCCC observer status and participated in COP15 (2009) and COP21 (2015). He coordinates the Norwegian-Russian PhD course Society and Advanced Technology in the Arctic and the Norway-EU Science Diplomacy Network. Additional roles include advising on EU Arctic policy, analyzing US-China-Russia Arctic dynamics, and exploring space science applications in Arctic development.

• Arctic International Relations
• International Political Economy
• Science Diplomacy
• +۸ مورد دیگر

Petr Janata is a Professor in the Department of Psychology at the University of California, Davis, and a faculty member at the UC Davis Center for Mind and Brain. His research centers on cognitive neuroscience of music, investigating neural mechanisms underlying music-evoked autobiographical memories and the experience of "groove." He serves on the Board of the Society for Music Perception and Cognition and co-founded the UC Music Experience Research Community Initiative (UC MERCI). Janata's educational background includes: Ph.D. in Biology (Neuroscience) from the University of Oregon (1996) B.A. in Interdisciplinary Studies (Biology/Psychology) from Reed College (1990) His research employs behavioral experiments, fMRI, EEG, and computational modeling to explore how music engages memory, emotion, and sensorimotor systems. Key projects examine music-evoked remembering, the psychology of groove, auditory attention mechanisms, and timbre-emotion links. His work reveals how music activates domain-general brain networks for expectation, memory, and emotional processing. Recent publications (2018-2025) show increasing focus on cross-cultural emotional responses to music, neural correlates of nostalgia, mental replay mechanisms, and clinical applications of music cognition. His lab develops innovative paradigms like the Groove Enhancement Machine (GEM) to manipulate sensorimotor synchronization while measuring subjective enjoyment. Janata's scientific recognition includes: Guggenheim Fellowship (2010) Dual Fulbright Fellowships (1990-91, 2010-11) Music Has Power Award from the Institute of Music and Neurological Function (2010) He has delivered over 100 invited lectures globally and served as scientific advisor to Coro Health LLC before founding Meamer, Inc. in 2017 to connect people through memories and music. His translational work bridges basic cognitive neuroscience with real-world applications in health and technology. The Janata Lab at UC Davis integrates neuroimaging, behavioral testing, and computational modeling to advance understanding of music cognition. Current projects explore lifespan neural changes in music processing, adaptive virtual partners for synchronization studies, and sonification systems for physiological monitoring.

• Cognitive Neuroscience
• Music Psychology
• Auditory Perception
• +۴ مورد دیگر

Christopher Chambers is Professor of Cognitive Neuroscience at Cardiff University's School of Psychology. His research spans open science reform, cognitive neuroscience, and translational applications in behavior change. He founded numerous initiatives including Registered Reports, the UK Reproducibility Network (UKRN), and the Royal Society Replications initiative, while chairing the Registered Reports Committee at the Center for Open Science. Chambers' research focuses on: 1) Developing and promoting open research practices to enhance scientific reliability; 2) Investigating cognitive control mechanisms using brain stimulation (TMS, TES) and neuroimaging (fMRI, MEG); and 3) Translational applications in obesity and behavior change through response inhibition training paradigms. His work bridges cognitive neuroscience with metascience reform. His publications demonstrate strong trends in open science methodology (Registered Reports, reproducibility frameworks) and cognitive-behavioral interventions, particularly examining how inhibitory control training affects food valuation and eating behaviors. Recent work emphasizes robustness verification and implementation of open science practices across disciplines. Awards include: 2018 British Psychological Society Book Award for 'The Seven Deadly Sins of Psychology' 2018 PROSE Award from Association of American Publishers He leads major grants including a €1.99M ERC Consolidator Grant on cognitive control training and a £188k Arnold Foundation grant on Registered Reports. Chambers founded the Insciout research group (science communication) and UK Evidence Information Service (science-policy interface), and currently advises the Peer Community in Registered Reports.

• Open Science
• Cognitive Neuroscience
• Reproducibility
• +۵ مورد دیگر

Krish Singh is a Professor and Head of Human Electrophysiology at Cardiff University's School of Psychology. He holds a BSc from Durham University and a PhD from the Open University. As a leader at the Cardiff University Brain Research Imaging Centre (CUBRIC), he drives multimodal neuroimaging research, focusing on MEG/EEG methodologies for clinical and cognitive neuroscience. His work spans epilepsy, schizophrenia, and Alzheimer’s disease, including studies on electrophysiological genetic risk markers. His research bridges physics and neuroscience, emphasizing non-invasive brain imaging (MRI/MEG) to explore neural mechanisms in health and disease. Key interests include: Cortical oscillations and neurophysiological biomarkers Genetic influences on brain networks in psychiatric disorders Multimodal integration of MEG with MRI/PET data Clinical applications in neurodegeneration and epilepsy Publications demonstrate consistent focus on neurophysiology, schizophrenia, Alzheimer’s, and methodological innovations in MEG analysis. Trends include genetic risk modeling, pharmacological modulation of neural oscillations, and longitudinal biomarker discovery. He leads the undergraduate module Introduction to Neuroimaging Methods and Applications , covering MRI, fMRI, EEG/MEG, TMS, and clinical applications. As a supervisor, he supports postgraduate projects in neuroimaging and collaborates internationally via the MEG-UK Partnership to standardize MEG methodologies. He directs research at CUBRIC and collaborates with Cardiff's Neuroscience and Mental Health Innovation Institute, fostering cross-disciplinary studies with medicine and biosciences.

• Neuroscience
• Neuroimaging
• Magnetoencephalography (MEG)
• +۷ مورد دیگر

Dr. Ernesto Elias Vidal Rosas is a Lecturer at the School of Electronics and Computer Science, University of Southampton. Previously, he was a Postdoctoral Researcher at UCL Medical Physics and Biomedical Engineering Department. He specializes in neuroimaging and optical technologies with extensive expertise in near-infrared spectroscopy (NIRS), diffuse optical tomography (DOT), and wearable brain imaging systems. He is currently accepting PhD students. Research Focus: Dr. Vidal-Rosas leads research in neuroimaging methodologies and brain-computer interfaces. His work emphasizes wearable technologies for clinical and home-based monitoring, with applications spanning from neonatal care to motor rehabilitation. Key research domains include: Development of high-density diffuse optical tomography (HD-DOT) systems Integration of EEG and fNIRS for brain-computer interfaces Real-time processing algorithms for neurofeedback applications Non-invasive monitoring of therapeutic responses in oncology He is currently involved in the Horizon Europe PUREMIND project focused on preventing mental illness through multimodal biomarker analysis. Academic Activities: Actively advises PhD candidates in Computer Science and teaches undergraduate courses including Healthcare Technology Design (ELEC2231) and Digital Control System Design (ELEC3206). His pedagogical research includes developing virtual tools for engineering education. Affiliations: Member of the Digital Health and Biomedical Engineering research group and the Institute for Life Sciences at Southampton.

• Neuroimaging
• Brain-computer interfaces
• Medical optics imaging
• +۲ مورد دیگر

Dr Sean Anderson is a Senior Lecturer at the Department of Automatic Control and Systems Engineering , University of Sheffield , with over 15 years of experience in interdisciplinary research spanning robotics, control systems, and computational biology. He earned his MEng and PhD from the University of Sheffield, focusing on control systems and chemical engineering. Education: MEng in Control Systems Engineering, University of Sheffield (2001) PhD in Chemical and Process Engineering, University of Sheffield (2005) Research Interests include: Bioinspired robotics Adaptive and optimal control in biological systems Nonlinear system identification Computational neuroscience Acoustic and visual sensor fusion for localization His recent publications highlight innovations in robotic localization in hazardous environments, interpretable deep learning for control systems, acoustic sensing technologies, and data-driven modeling of complex systems. Key projects involve autonomous navigation in pipe networks, turbulence modeling, and biomedical signal processing. Grants and Funding: He has secured major grants from EU H2020 (£4M), EU FP7 (£2.9M), and EPSRC (£5.7M), focusing on bioinspired control algorithms, robotic safety, and infrastructure assessment. Teaching: He leads the ACS61011 Deep Learning module, emphasizing practical applications in robotics and signal processing.

• Bioinspired Robotics
• Adaptive and Optimal Control
• System Identification
• +۳ مورد دیگر

Marc Sommer is a Professor of Biomedical Engineering and Psychology & Neuroscience at Duke University. He directs the Duke Institute for Brain Sciences and contributes to the Duke Initiative for Science & Society. His research focuses on neural circuits for cognition , particularly how the brain maintains visual perception and behavior through interactions between frontal cortex and subcortical regions. Key Techniques : Single neuron electrophysiology, optogenetics, psychophysics, computational modeling Translational Goals : Improving transcranial magnetic stimulation (TMS) and viral vector therapies for psychiatric and motor disorders Scientific Awards : Capers and Marion McDonald Award for Excellence in Teaching and Research (2021) Capers and Marion McDonald Award for Excellence in Mentoring and Advising (2017) Bass Fellow, Duke University (2017) Research Fellowship in Neuroscience, Alfred P. Sloan Foundation (2005) Marc Sommer's recent publications span visual stability across saccades , optogenetics in primates , TMS mechanisms , and viral vector applications . His work bridges cognitive neuroscience and biomedical innovation , with significant contributions to corollary discharge theory and neural circuit mapping . Lab Collaborations : Interdisciplinary partnerships across Duke University and external institutions, integrating engineering , neurobiology , and computer science to decode primate brain circuitry.

• Neuroscience
• Biomedical Engineering
• Neural Circuits
• +۵ مورد دیگر

Tuija Tessaliina Tolonen is a Doctoral Researcher at the Department of Neuroscience and Biomedical Engineering, Aalto University. Her work focuses on neuroimaging, ADHD research, and brain connectivity. Research Interests: Functional and structural connectivity in adult ADHD Impact of early life stress on neural networks Cognitive neuroscience and neuroimaging methodologies Intervention studies with working memory training Selected Publication Trends: Her recent works examine brain network abnormalities in ADHD, neuroplasticity following cognitive training, and the effects of stress on developing brains. Collaborations span neuroscience, psychology, and biomedical engineering fields. Affiliations: Aalto University, Finland.

• Neuroscience
• Biomedical Engineering
• ADHD Research
• +۳ مورد دیگر

Ridhi Kashyap is a Professor of Demography and Computational Social Science at the University of Oxford, where she contributes significantly to demographic research through innovative computational approaches. She is affiliated with the Leverhulme Centre for Demographic Science, where she co-leads the Digital and Computational Science strand. Her work bridges traditional demographic methods with cutting-edge computational techniques to address pressing social issues related to population dynamics and inequalities. Dr. Kashyap's research spans multiple areas of demography, with particular focus on: Mortality and population health, including pandemic impacts on life expectancy Gender inequality, especially son preference and digital gender gaps Marriage and family dynamics in relation to educational expansion and gender norms Migration and ethnicity patterns using digital data sources Sustainable development goals related to digital access and gender equality Her methodological expertise lies at the intersection of demography and computational social science. She leverages agent-based models, microsimulation, and machine learning techniques applied to novel data streams such as digital trace data from social media platforms. A notable example of her work is the digitalgendergaps.org platform, which nowcasts global digital gender inequalities in internet and mobile access - a key sustainable development goal indicator where official data is lacking. Her research demonstrates how computational approaches can fill critical data gaps and provide timely insights for policy decision-making. Analysis of Dr. Kashyap's recent publications reveals a strong focus on digital demography and computational approaches to understanding population dynamics. Her work frequently examines gender inequalities through digital lenses, including analyses of LinkedIn data to understand professional gender gaps and social media data to track digital access disparities. She has made significant contributions to understanding pandemic mortality patterns, particularly in India and the US, and has pioneered methods for using social media data to nowcast demographic phenomena. Her research consistently bridges theoretical demographic concepts with practical computational methodologies. Dr. Kashyap has been actively involved in several significant research initiatives, including leading the development of the Digital Gender Gaps dashboard and contributing to the creation of the World Cybercrime Index. Her work with the Leverhulme Centre for Demographic Science has positioned her at the forefront of computational demographic research. Within her academic role, Dr. Kashyap supervises graduate students and collaborates with interdisciplinary teams across demography, computer science, and public health. She has secured funding for projects that leverage digital data to address demographic research questions, particularly those related to gender inequality and sustainable development goals. Her work with social media data platforms demonstrates innovative approaches to overcoming traditional data limitations in demographic research. Dr. Kashyap co-leads the Digital and Computational Science strand at the Leverhulme Centre for Demographic Science, where she oversees a team of researchers working at the intersection of demography and computational methods. Her team develops innovative approaches to using digital trace data for demographic research, with particular focus on gender inequality metrics and pandemic impact assessment. The Digital Gender Gaps project represents one of her team's flagship initiatives, providing near-real-time monitoring of a key sustainable development indicator.

• Demography
• Computational Social Science
• Digital Demography
• +۵ مورد دیگر

Gigi Luk is Professor and Program Director for M.Ed. Concentrations in Educational Psychology and Human Development within the Department of Educational and Counselling Psychology at McGill University's Faculty of Education. Her research program investigates the cognitive consequences of bilingualism across the lifespan, bridging scientific understanding with practical educational applications to cultivate inclusive environments for linguistically diverse learners. Her educational background includes: Ph.D. in Psychology (Developmental and Cognitive Processes) from York University M.A. in Psychology (Developmental and Cognitive Processes) from York University Specialized Honors B.A. in Psychology from York University Dr. Luk's research centers on bilingualism's cognitive and neural mechanisms, with three interconnected thrusts: (1) characterizing bilingualism beyond English proficiency in communities, (2) examining cognitive skills supporting language/literacy outcomes, and (3) establishing neural correlates of learning in diverse language learners. Her work integrates cognitive neuroscience with educational practice to address real-world challenges in multilingual classrooms, emphasizing culturally responsive pedagogy that respects linguistic diversity. This dual focus on basic science and practical implementation defines her contributions to understanding how bilingual experiences shape cognitive development and educational equity. Analysis of her 15 most recent publications (2022-2024) reveals consistent interdisciplinary investigation of bilingualism through cognitive, neural, and sociocultural lenses. Her work spans educational psychology, cognitive neuroscience, and sociolinguistics, with growing emphasis on neural correlates of language processing, methodological rigor in bilingual assessment, and equity implications of bilingual research. Key trends include examination of multilingual children's cognitive development, critical reframing of the "bilingual advantage" discourse, and innovative approaches like music-based literacy interventions. Scientific recognition includes: National Academy of Education/Spencer Postdoctoral Fellowship (2013-2014) Dr. Luk actively supervises graduate students (accepting new students for 2025-2026) and secures competitive research funding, currently supported by the Natural Sciences and Engineering Research Council of Canada (NSERC) and Fonds de recherche Société et culture (FRQSC). Her grant portfolio demonstrates sustained commitment to advancing understanding of bilingual cognition and its educational applications through rigorous empirical work. She directs the Bilingualism.Experience.Education Lab, which functions as an interdisciplinary hub for investigating how language experiences shape cognitive development and educational outcomes. The lab employs diverse methodologies including neuroimaging, behavioral experiments, and classroom-based research to address questions about bilingualism's cognitive effects and practical implications for educators.

• Bilingualism
• Literacy Acquisition
• Lifespan Development
• +۴ مورد دیگر

Julie Grollier is a physicist and CNRS director of research at the Albert Fert Laboratory (LAF - Univ. Paris-Saclay/National Centre for Scientific Research, CNRS/Thales). As a specialist in spintronics and artificial intelligence, her research focuses on developing neuromorphic chips that physically reproduce neural networks. Her research interests center on creating energy-efficient neural networks using spintronics. She has pioneered work in creating artificial neurons and neural networks using spintronic components, with her team demonstrating a nano-neuron capable of recognizing spoken numbers from zero to nine. Her current research explores building hardware neural networks that function more like the human brain, with spintronic components communicating via microwaves. 2018 CNRS Silver Medalist 2021 Irène Joliot-Curie Woman Scientist of the Year Julie Grollier leads research within the European RadioSpin program, where her work has significant potential to reduce AI power consumption by factors of 100-1,000. Companies like Thales and Bosch have shown interest in her research for applications in medical diagnosis. She has established an interdisciplinary research group that brings together experts from materials science, electronics, computing, and neuroscience.

• Spintronics
• Neuromorphic Computing
• Artificial Intelligence
• +۲ مورد دیگر

Jens Carlsson is a Professor at Uppsala University, affiliated with the Department of Cell and Molecular Biology and the Science for Life Laboratory (SciLifeLab) . His research focuses on computational biochemistry , particularly G protein-coupled receptors (GPCRs) , using physics-based modeling to advance structure-based drug design . Academic rank: Full Professor (since 2022) Key methodologies: Molecular dynamics simulations, docking, free energy calculations Research themes: GPCR ligand interactions, virtual chemical space screening, allosteric modulators Recent work (2025) highlights AI-driven discovery of brain disease therapeutics and DNA repair inhibitors , while 2024 projects explore AlphaFold applications in TAAR1 agonist design . His group has received Swedish Research Council grants (3.6M SEK, 6M SEK) and industry collaborations . Scientific awards include the Göran Gustafsson Prize (2016), Excellence Prize in Molecular Design (2022), and Ingvar Carlsson Award (2012). Key students include PhD candidates Mariama Jaiteh and Pierre Matricon , with postdocs like Nicolas Panel and Duy Duc Vo .

• G protein-coupled receptors (GPCRs)
• Structure-based drug design
• Molecular docking
• +۷ مورد دیگر

Cornelius Faber is a University Professor in the Department of Radiology at the University of Münster, Germany, where he leads the Experimental Nuclear Magnetic Resonance research group. His work focuses on developing and implementing novel MRI techniques that extend the boundaries of magnetic resonance imaging in terms of spatial and temporal resolution, sensitivity, and specificity for physiological, structural, and molecular changes. He actively participates in the "Cells in Motion" interdisciplinary research initiative at the university. Professor Faber's research spans multiple critical areas in medical imaging and biomedical science. His primary expertise lies in MRI cell tracking , enabling visualization of cellular dynamics in vivo. He has made significant contributions to infection imaging , developing methods to detect and characterize microbial infections using MRI. His work on MR methodology development has advanced quantitative imaging techniques, while his research on multimodal integration in MR and MRI contrast mechanisms has provided deeper insights into molecular and cellular processes. His research bridges physics, engineering, and biomedical applications, with particular relevance to inflammation, cancer, neurological disorders, and cardiovascular disease. Analysis of Professor Faber's extensive publication record reveals a clear evolution from fundamental MRI technique development toward increasingly sophisticated applications in disease models. His recent work demonstrates a strong trend toward multimodal imaging approaches that combine MRI with complementary techniques such as mass spectrometry, optical imaging, and PET. This integration creates comprehensive diagnostic platforms that provide both anatomical and molecular information. A notable pattern is the focus on cellular dynamics, particularly immune cell behavior in inflammatory conditions and tumor microenvironments, with applications spanning neuroscience, oncology, and cardiology. Professor Faber leads a multidisciplinary research team of approximately 15 members, including scientists, doctoral students, technicians, and medical students. His laboratory is deeply integrated with the University of Münster's research infrastructure, particularly the Multiscale Imaging Centre. The group's work contributes significantly to advancing preclinical MRI methodologies while maintaining strong clinical relevance, with numerous publications in high-impact journals across medical imaging, neuroscience, and biomedical engineering disciplines.

• MRI cell tracking
• infection imaging
• MR methodology
• +۶ مورد دیگر

Thomas Pap serves as Professor at the Department of Molecular Medicine within the Institute of Musculoskeletal Medicine (IMM) at the University of Muenster. He actively participates in the "Cells in Motion" research cluster and the Imaging Network, focusing on cell dynamics and imaging applications in musculoskeletal pathologies. His research centers on molecular mechanisms of inflammatory joint diseases, with key emphases on: Destructive arthritis pathogenesis through fibroblast transformation and adherens junction dynamics Regulation of alarmin activity (S100A8/S100A9) in sterile inflammation TRP channel modulation of osteoclast function and bone loss Translational models for tendon healing and microsurgical reconstruction Advanced imaging techniques for monitoring inflammatory lesions Analysis of his 2013-2021 publications reveals consistent interdisciplinary work bridging immunology, cell biology, and clinical applications. His studies frequently employ molecular imaging and translational models to investigate rheumatoid arthritis mechanisms, neutrophil chemotaxis, and bacterial immune evasion, with strong emphasis on therapeutic targeting of inflammatory pathways. The Pap Group operates within the Multiscale Imaging Centre (MIC), collaborating on pilot projects and the "Train Gain Fellowships" graduate program. Their work integrates with the university's broader Imaging Network, utilizing advanced microscopy and molecular techniques to study cell dynamics in inflammatory conditions.

• Rheumatology
• Inflammation
• Arthritis
• +۴ مورد دیگر