جست‌وجوی استاد و پژوهشگر

• Speech Processing
• Sensorimotor Integration
• Neural Oscillations
• +۴ مورد دیگر

Florencia Assaneo, PhD is a researcher at the Max Planck Institute for Empirical Aesthetics, specifically affiliated with the Department of Cognitive Neuropsychology where her work focuses on language, neural mechanisms and temporal processing. Her research investigates the intersection of speech perception and production through neurophysiological and psychophysical approaches. Dr. Assaneo's research interests center on the temporal dynamics of speech processing, particularly how rhythmicity and synchrony operate in both speech production and perception. Her work examines the crucial role of speech rhythms in comprehension and the interaction between motor and auditory brain regions. She has developed biophysical models explaining the stability of syllable rates across languages as consequences of intrinsic cortical rhythms. Her recent publications reveal a strong focus on neural oscillations in speech processing, with particular attention to sensorimotor integration. The research demonstrates how cortical rhythms influence speech comprehension and production across different languages, bridging cognitive neuroscience and linguistics. Dr. Assaneo has published in top-tier journals including Nature Neuroscience and Science Advances, demonstrating the significance of her contributions to understanding the neural basis of speech processing. Her work combines neurophysiological recordings with psychophysical protocols to characterize the temporal dynamics of speech integration.

Ofer Tchernichovskiمشاهده پروفایل

استاد

• Cultural Evolution
• Social Learning
• Vocal Learning in Birds
• +۳ مورد دیگر

Prof. Ofer Tchernichovski is a Professor in the Department of Psychology at Hunter College, CUNY. He specializes in cultural evolution, social learning, and vocal learning in birds and humans, focusing on mechanisms underlying song learning and cultural transmission. His lab investigates how birds' communication signals shape stable polymorphic cultures and explores applications in designing agile communication systems. He holds a PhD in Zoology from Tel Aviv University. His research spans behavioral neuroscience, developmental processes, and interdisciplinary studies with computational models. He has collaborated on virtual world experiments to study collective intelligence and governance challenges. Tchernichovski’s work bridges animal behavior, cognitive psychology, and neuroscience, contributing to understanding vocal learning and cultural dynamics in both birds and humans. Education: PhD, Department of Zoology, Tel Aviv University. Current Research: Cultural evolution of bird song, social learning dynamics, and neural mechanisms of vocal production. His lab uses zebra finches to study how vocal learning is influenced by auditory experience and social interaction. Recent projects include experiments on online governance and the role of sleep in developmental learning. He also explores applications of social force analysis to design stable communication systems. Key Projects: Laboratory of Social Learning & Cultural Evolution (Hunter College), collaborations on virtual world experiments (e.g., ferry game simulations for collective intelligence), and studies on dopaminergic systems in avian monogamy. His work integrates field studies, neuroimaging, and computational modeling.

• Cognitive Neuroscience
• Memory Processing
• Language Comprehension
• +۳ مورد دیگر

Uri Hasson is Professor of Psychology and Neuroscience at Princeton University, specializing in how the brain processes information across multiple timescales. His research explores the hierarchical organization of cortical circuits in memory accumulation and communication. His work focuses on cognitive neuroscience with emphasis on memory systems, language comprehension, and social cognition. Hasson investigates how neural activity patterns evolve during naturalistic processing of complex stimuli, demonstrating that memory is intrinsically distributed throughout cortical hierarchies rather than confined to specific storage regions. Hasson's research demonstrates that cortical circuits accumulate information hierarchically, with early sensory areas operating on timescales of tens to hundreds of milliseconds, while higher-order areas integrate information over seconds to minutes. This framework challenges traditional working memory models by showing memory is intrinsic to ongoing information processing throughout the brain.

Zani Albertoمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Neurophysiology
• Visual Attention
• +۷ مورد دیگر

Professor Zani Alberto is a Full Professor of General and Experimental Psychology at the School of Psychology, Vita-Salute San Raffaele University, Milan, Italy. He holds honorary membership in the Board of Directors of the Center for Applied Social Neuroscience (CASN), Japan (since 2015). His research focuses on cognitive neurosciences, particularly brain-mind interactions, visual attention, object perception, and electrophysiological methods (ERP/EEG). He has authored over 258 publications and serves as Editor-in-Chief of the International Journal of Brain and Cognitive Sciences and on editorial boards of journals like Frontiers in Psychology and Scientific Reports. His academic career includes senior research roles at CNR institutes (CNR-IP, CNR-IBFM), where he led labs like the Cognitive Electrophysiology Lab and the Electro-Functional Brain Imaging unit. He has co-authored influential books such as *The Cognitive Electrophysiology of Mind and Brain* and edited translations of key texts like Gazzaniga’s *Cognitive Neuroscience*. His teaching spans courses on neuroanatomy, cognitive psychology, and decision-making. Research Interests: Visual attention, ERP/EEG markers, hypoxia effects on cognition, music perception, and sociorelational neurocognition. Recent Trends in Publications: Focus on hypoxia’s impact on neural networks, mirror neuron systems, and electrophysiological correlates of visual and attentional processes. Editorial Roles: Editor-in-Chief of International Journal of Brain and Cognitive Sciences (since 2012), editorial board member of Frontiers in Human Neuroscience and Scientific Reports. He has led interdisciplinary research teams and contributed to translational neuroscience through collaborations in Italy and internationally. His work bridges theoretical cognitive neuroscience with practical applications in education and clinical settings.

Amila Akagicمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۱۵ مورد دیگر

Prof. Amila Akagic is an Associate Professor at the Department of Computer Science and Informatics, Faculty of Electrical Engineering, University of Sarajevo. Her expertise spans Computer Architecture , Artificial Intelligence , Computer Vision , and High-Performance Computing . She holds a Ph.D. from Keio University (Amano Lab) and has conducted research at UC Riverside and the University of Ljubljana under prestigious scholarships including the Fulbright and MEXT awards. Her work focuses on FPGA-accelerated algorithms, reconfigurable architectures, and deep learning applications in medical imaging and environmental monitoring. Education: Bachelor's/Master's (Electrical Engineering) – University of Sarajevo (2006/2009) Ph.D. (Computer Science) – Keio University, Japan (2013) Research Interests: Combines image segmentation , embedded systems , and energy-efficient computing . Recent work includes semantic tumor segmentation (MRI), blockchain-based UXO tracking, and FPGA-based CRC acceleration. She explores interdisciplinary topics like AI-driven plant phenotyping and wildfire detection using computer vision. Recent Trends in Publications: Over 40% of her 2023-2025 articles address medical imaging and fire detection , with growing emphasis on explainable AI and humanitarian technology . Her work frequently uses frameworks like OpenVINO and TensorFlow to optimize computational efficiency. Awards: Fulbright Visiting Student Award (2007/2008) MEXT Scholarship (Japan, 2010) Grants & Labs: Active in the HiPEAC project (EU Horizon Europe), focusing on edge computing and smart grid resilience. Collaborates with the Embedded Systems and Architectures Lab (UC Riverside) and Amano Lab (Keio University). Labs/Teams: Leads research groups in FPGA-accelerated architectures and AI-driven environmental sensing. Engages in humanitarian demining initiatives via data observatories and blockchain systems.

• Computational Neuroscience
• Machine Learning
• Cognitive Science
• +۳ مورد دیگر

Qiong Zhang is an Assistant Professor jointly appointed in the Psychology Department and Computer Science Department at Rutgers University. Her research bridges human learning and machine learning, focusing on comparing human memory systems with AI solutions and informing intelligent machine design through cognitive insights. She holds a Ph.D. from Carnegie Mellon University's Machine Learning Department under the School of Computer Science and completed postdoctoral training at Princeton University. Education: Ph.D., Machine Learning, Carnegie Mellon University (School of Computer Science) Postdoctoral Training, Princeton University Her research investigates cognitive constraints in memory systems and their neural bases. She employs computational modeling, behavioral experiments, and neural imaging to explore how memory optimizes performance under constraints. Recent work includes an NSF-funded project on external cue benefits/detriments in memory search. Her lab's findings aim to enhance memory interventions and inform AI design. Grants and funding include support from the National Science Foundation and Rutgers Brain Health Institute. She explores interdisciplinary topics like episodic memory in storytelling (comparing humans and LLMs), and cognitive resource modeling during memory encoding.

Pietro Pietriniمشاهده پروفایل

استاد

• Clinical Neuroscience
• Cognitive Neuroscience
• Molecular Biology
• +۶ مورد دیگر

Pietro Pietrini is a Full Professor and Director of the IMT School for Advanced Studies Lucca since 2015. Previously, he held roles including Chair of Clinical Biochemistry and Molecular Biology at the University of Pisa Medical School. He earned an MD from the University of Pisa and a Ph.D. in Neuroscience from Scuola Superiore Sant'Anna, with board certification in Psychiatry. His research integrates neuroimaging (MRI, PET, TMS) and neuropsychological tools to study brain function in sensory deprivation, mental disorders, and social behavior. He pioneered studies on cortical reorganization in the blind and developed a multidisciplinary approach spanning neuroscience, ethics, and linguistics. Education: MD (1986, University of Pisa), Ph.D. Neuroscience (Scuola Superiore Sant'Anna), Board Certification in Psychiatry (University of Pisa). Research focuses on: neuroplasticity in sensory-deprived brains, affective neuroscience, and the neural basis of antisocial behavior. Key projects include studying empathy in incarcerated populations and the ethics of neuroscience in legal contexts. Scientific Awards: Commander of the Order of Merit of the Italian Republic (2015), International Recognition in Biological Psychiatry and Neuroscience. Labs/Teams: Leads the MOMILAB, focusing on translational research at the intersection of neuroscience and social sciences.

• Artificial Intelligence
• Health Informatics
• Education Analytics
• +۴ مورد دیگر

Professor Prabal Barua is an Adjunct Professor at the University of Southern Queensland (UniSQ) and holds academic positions at multiple institutions, including Taylor's University Malaysia and SRM University of Science and Technology. His expertise spans Artificial Intelligence (AI), health informatics, education analytics, and ICT for business transformation. He leads strategic roles such as Academic Dean at the Australian International Institute of Higher Education and participates in governance committees at UniSQ. With over 25 years of global leadership in education and IT, Barua has secured $3M+ in research grants, focusing on AI applications in healthcare and education. He has supervised over 15 doctoral and master's students, overseeing projects like AI-driven assistive tools in education and healthcare diagnostics. His research outputs include over 100 top-tier publications and reviews on AI in biomedical signals, energy prediction, and neurological disorders. Barua is affiliated with the IEEE Computer Society, Australian Computer Society, and other professional bodies. His educational background includes a PhD in Information Systems from USQ and advanced degrees in Mass Communication and Data Analytics. Research interests emphasize leveraging AI for healthcare (e.g., disease detection via EEG, MRI, and sound signals) and education (e.g., student performance prediction, assistive technologies). His recent work addresses challenges in Alzheimer’s detection, fibromyalgia diagnosis, and automated tools for early education intervention. He collaborates widely, contributing to interdisciplinary projects at the intersection of AI, medicine, and education. Barua’s articles span AI-driven health diagnostics, energy forecasting, and educational analytics, reflecting his focus on practical, impactful applications. His grants and industry partnerships underscore his role in bridging academia and industry, particularly in AI and healthtech. He is actively involved in student supervision and academic leadership, shaping policies and strategic frameworks in higher education.

• Human Evolution
• Philosophy of Biology
• Systematics
• +۳ مورد دیگر

Camilo José Cela Conde is a Professor of Anthropology at the University of the Balearic Islands (UIB), holding the position of Catedrático since January 1999. He serves as Director of the Laboratory of Human Systematics at UIB, where he leads interdisciplinary research integrating evolutionary biology, cognitive neuroscience, and philosophy. His research spans Human Evolution , Philosophy of Biology , Systematics , Cognitive Processes , Aesthetic Perception , and Moral Behavior . Cela-Conde pioneers neuroaesthetics, investigating how neural mechanisms shape beauty appreciation and moral cognition through fMRI and EEG studies. His work reveals cultural-biological interactions in aesthetic judgment and evolutionary foundations of moral behavior. Recent publications (2011-2014) demonstrate a cohesive focus on neural dynamics of aesthetic experience, with collaborative projects mapping brain networks during beauty appreciation and exploring fractal dimensions in art perception. His research consistently bridges evolutionary theory with empirical neuroscience. Key honors include: Fundación Juan March Award in Sociology (1975) Fellow of the American Association for the Advancement of Science (AAAS) (1999) Membership in the Center for Academic Research and Teaching in Anthropogeny (2008) Cela-Conde has mentored nine doctoral students across philosophy, psychology, and neuroscience, including Nadal Roberts (aesthetic preference neuroscience) and Flexas Oliver (abstract/figurative stimulus perception). His laboratory fosters cross-disciplinary collaboration between anthropologists, neuroscientists, and philosophers to decode the evolutionary origins of human cognition and aesthetic capacity.

Ana Inés Ansaldoمشاهده پروفایل

استاد

• Neuroplasticity
• Language Disorders (Aphasia, Dementia)
• Bilingualism and Multilingualism
• +۴ مورد دیگر

Dre Ana Inés Ansaldo is a Full Professor at the Université de Montréal’s École d'orthophonie et d’audiologie and Director of the Brain Plasticity, Communication, and Aging Laboratory at the CRIUGM. Her research focuses on neuroplasticity mechanisms in language recovery (aphasia, dementia), bilingualism’s cognitive benefits, and technology-driven interventions for elderly communication. She holds a Ph.D. in Biomedical Sciences from Université de Montréal and completed postdoctoral training at McGill University. Her work has been recognized with awards such as the IRSC’s Aging Institute Special Prize (2002) and the Fondation des maladies du coeur du Canada Excellence Award. Key research projects include developing the COMPAs app to support communication in dementia care, studying bilingualism’s protective effects against cognitive decline, and investigating neurofunctional markers of therapy efficacy in aphasia. She has supervised doctoral theses on topics like phonological therapy and cross-linguistic transfer. Recent articles highlight bilingualism’s impact on attentional control and the effectiveness of speech therapy in chronic aphasia. Her grants include CIHR funding for neuroplasticity research and initiatives addressing social isolation in aging populations.

Gordon Kindlmannمشاهده پروفایل

دانشیار

• Biomedical Image Analysis
• Scientific Visualization
• Systems
• +۵ مورد دیگر

Gordon Kindlmann is an Associate Professor of Computer Science at the University of Chicago, affiliated with the Systems Group research community. His work bridges computational imaging science and visualization theory, focusing on biomedical applications and machine learning integration. He leads projects in diffusion MRI analysis, surgical planning tools like SlicerDMRI, and theoretical advancements in visualization design. Research Interests: Biomedical Image Analysis Scientific Visualization Theory High Performance Computing Medical Imaging Algorithms Machine Learning Applications Recent Articles Trends: His work emphasizes cardiovascular modeling (e.g., aortic dissection prediction) and visualization validation techniques. Recent collaborations include optimizing visualization tools for scalability and accuracy in threaded data exploration. Awards: None explicitly listed in provided text. Grants/Advising: Involved in CDAC Discovery Grants (2019) and actively supports student research, though specific advisees are not listed here. His lab develops open-source tools like Diderot for tensor field visualization. Labs & Teams: Member of the Systems Group, a collaborative environment advancing systems research, programming languages, and software engineering.

• Machine Learning
• Computer Vision
• Medical Image Analysis
• +۳ مورد دیگر

João Paulo Papa is a Professor at the Department of Computing within the Institute of Biosciences, Humanities and Exact Sciences at São Paulo State University (UNESP), Brazil. His research spans machine learning, computer vision, and quantum computing with significant applications in medical diagnostics and environmental monitoring. Over the past three years, he has published extensively in top-tier journals including IEEE Access, ACM Computing Surveys, and Neural Computing and Applications. His research interests focus on developing innovative machine learning approaches for healthcare applications, particularly in Parkinson's disease detection through speech and facial analysis, medical image processing for cancer detection, and quantum-classical hybrid models. His work demonstrates strong integration of theoretical machine learning advancements with practical medical and environmental applications. Papa has established a productive research group that has produced numerous publications in computer vision conferences and medical informatics venues. Analysis of his recent publications reveals a strong emphasis on medical applications of AI, with approximately 60% of his work focused on healthcare diagnostics, 25% on fundamental machine learning advancements, and 15% on environmental and remote sensing applications. His research shows increasing collaboration with international partners while maintaining strong roots in Brazilian academic networks. Among his notable contributions is the development of specialized machine learning architectures for medical image analysis, including TransConv for esophageal cancer detection and quantum-classical hybrid models for breast cancer diagnosis. He has also made significant contributions to the Portuguese language processing community through adaptations of large language models for Brazilian Portuguese medical applications. Prof. Papa actively supervises graduate students and collaborates with medical professionals across Brazil, translating AI research into practical clinical tools. His research group maintains strong connections with hospitals and medical research centers to ensure clinical relevance of their technical developments.

Marcel Bastiaansenمشاهده پروفایل

پژوهشگر

• Neural Oscillations
• Language Processing
• Cognitive Neuroscience
• +۴ مورد دیگر

Marcel Bastiaansen, PhD, is a researcher at the Max Planck Institute for Empirical Aesthetics working within the Department of Neuroscience. His research focuses on neural oscillatory dynamics as measured through EEG and MEG, specifically examining how different frequency bands correlate with language processing mechanisms. His primary research interests include: Neural Oscillations in cognitive processing Language comprehension mechanisms Theta-band, beta-band, and gamma-band dynamics Predictive coding frameworks in neuroscience EEG/MEG measurement techniques Dr. Bastiaansen's work investigates how oscillatory brain activity reflects the coupling and uncoupling of neuronal networks during language comprehension, with particular attention to how different frequency bands relate to specific linguistic processes like lexical retrieval and sentence integration. His research suggests that low-frequency oscillations (theta-band) relate to lexical retrieval, while high-frequency dynamics (beta/gamma) correspond to sentence-level integration of lexical items, with potential interpretations within predictive coding frameworks.

Xavier De Tiègeمشاهده پروفایل

استاد

• Functional Neuroimaging
• Presurgical Functional Mapping
• Refractory Focal Epilepsy
• +۳ مورد دیگر

Xavier De Tiège is a Professor at Université libre de Bruxelles (ULB) and works at Erasme Hospital, ULB's academic hospital. He serves as Director of the Department of Functional Neuroimaging within the Service of Nuclear Medicine and as a senior researcher at the ULB Neuroscience Institute's Laboratoire de Cartographie fonctionnelle du Cerveau. Professor of Neuroanatomy, ULB Senior Researcher, ULB Neuroscience Institute Director of Functional Neuroimaging Department, Erasme Hospital Member of the UR2NF research lab His research focuses on functional neuroimaging applications for presurgical mapping in refractory focal epilepsy and investigating cortical entrainment through sensory-motor processes and cortico-cortical interactions. Recent work employs multimodal imaging (MEG, fMRI) and computational models to study brain synchronization, language control, and neural plasticity in epilepsy patients. Key publication trends include epilepsy diagnostics , brain connectivity modeling , cognitive neuroimaging , and neurological AI applications . While no specific awards are listed in the provided text, his role as a senior researcher and lab director indicates significant academic contributions. Advises doctoral candidates via collaborative publications Leads multidisciplinary team in UR2NF lab

• fluency development and disorder (stuttering)
• psycholinguistics
• role of adult input and interaction in child language development
• +۵ مورد دیگر

Nan Bernstein Ratner is a Distinguished University Professor in the Department of Hearing and Speech Sciences at the University of Maryland, College Park. She is actively involved in multiple campus units including the Neuroscience and Cognitive Neuroscience (NACS) program where she serves as Director of Graduate Studies, the Language Sciences Center (LSC), the University of Maryland Developmental Sciences Field Committee, and the Bahá'í Chair for World Peace International Advisory Board. Dr. Bernstein Ratner holds the following educational credentials: BA in Child Study, Linguistics from Tufts University (1974) MA in Speech-Language Pathology from Temple University (1976) Ed.D in Applied Psycholinguistics from Boston University (1982) Her primary research focuses on fluency development and disorders (particularly stuttering), psycholinguistics, and the role of adult input and interaction in child language development. Bernstein Ratner's work spans both typical speech and language development in infants and children as well as childhood communication disorders including autism, seizure disorders, and late talkers. She is deeply committed to evidence-based practice in communication disorders and the role of information literacy in clinical decision-making. Her research also examines the impact of sports-related concussion on children's language skills and the development of speech and nonspeech predictors of later language development. Analysis of her recent publications reveals a strong emphasis on stuttering research, language sample analysis methodology, child language development, and the application of computational approaches to speech and language disorders. Her work increasingly incorporates considerations of linguistic diversity and bias-free assessment, particularly for children who speak non-mainstream dialects of American English. There's also a clear trend toward leveraging technology and computational linguistics to enhance clinical practice and research in communication sciences. Dr. Bernstein Ratner has received numerous prestigious awards for her contributions to the field: Fellow of the American Speech, Language and Hearing Association (ASHA) Fellow of the American Association for the Advancement of Science (AAAS) (2014) Distinguished Researcher award from the International Fluency Association (2006) Professional of the Year by the National Stuttering Association (2016) Board-recognized Specialist in Child Language Disorders As an advisor, Dr. Bernstein Ratner has mentored numerous doctoral students who have gone on to successful careers in academia and clinical practice. She has secured significant grant funding from organizations including the National Institute on Deafness and Other Communication Disorders (NIDCD) and the National Science Foundation (NSF) to support FluencyBank, a project of TalkBank that tracks fluency development across various populations. More recently, she has received NIH TALK initiative funding to examine predictors of recovery from late-talking in early childhood and to study growth in writing skills across diverse student populations. She is currently accepting doctoral students and emphasizes the importance of prior discussions with potential mentees. Dr. Bernstein Ratner co-manages FluencyBank with Brian MacWhinney of Carnegie-Mellon University. This initiative, jointly funded by the NIDCD and NSF, tracks fluency development in typical children, those who stutter, late-talking children, and children raised bilingually. Her lab website at http://languagefluency.umd.edu/ provides additional information about her research activities and current projects, including the Atypical Disfluency Project and investigations into how autism affects understanding in multitalker environments.