جست‌وجوی استاد و پژوهشگر

Syed Abid Hussainiمشاهده پروفایل

استاد پژوهشی

• Alzheimer's disease
• Neurobiology of learning and memory
• Systems neuroscience
• +۴ مورد دیگر

Dr. Syed Abid Hussaini serves as Lab Director of the Laboratory for Systems Neuroscience of Cognition and Dementia at Burke Neurological Institute, affiliated with Weill Cornell Medicine. He joined Burke in 2025 after his tenure as Assistant Professor of Pathology and Cell Biology at Columbia University's Taub Institute for Research on Alzheimer's Disease and the Aging Brain. His research program investigates the neurobiological mechanisms of learning and memory with emphasis on Alzheimer's disease pathology. Dr. Hussaini specializes in the entorhinal cortex-hippocampal circuit and locus coeruleus , examining how these neural systems are compromised in dementia. His laboratory employs advanced methodologies including In vivo electrophysiology Optogenetics and chemogenetics Mouse models of Alzheimer's disease Virtual reality behavioral assays Computational modeling to identify early pathological changes in neural circuits. Dr. Hussaini's work focuses on understanding selective neuronal vulnerability in Alzheimer's disease, particularly how tau pathology differentially affects grid cells versus border cells and head-direction cells within the entorhinal-hippocampal network. His research aims to translate basic neuroscience findings into therapeutic strategies for cognitive preservation. The Hussaini Lab team comprises Alyssa Ash (Postdoctoral Fellow) Cristina Vargas (Research Technician) Andrew Aoun (Part Time Research Data Scientist) and maintains active collaboration with the National Institutes of Health (NIH) to advance understanding of dementia mechanisms and potential interventions.

• Neuromorphic VLSI Design
• Medical Data Analytics
• Computational Neuroscience
• +۳ مورد دیگر

Anu Aggarwal is a Teaching Assistant Professor at the University of Illinois at Urbana-Champaign (UIUC), affiliated with the Department of Electrical & Computer Engineering within the College of Engineering. Her research focuses on neuromorphic VLSI design, medical data analytics, and computational neuroscience, with applications in healthcare, neuro-engineering, and biomedical signal processing. Education: MBBS, Government Medical College, Patiala, India MPH, Harvard University BEng, University of Manchester, UK MS/PhD, University of Maryland, College Park Research interests emphasize neuromorphic systems, medical technology development, and neural circuitry modeling. She has contributed to VLSI implementations of hippocampal and auditory neural structures, EEG-based medical devices, and optogenetic therapies for spinal injuries. Her work bridges engineering and neuroscience to address clinical challenges such as stroke recovery and Alzheimer’s disease management. Notable articles (2015–2025) explore neuromorphic hardware, EEG connectivity analysis, and biomedically oriented neurotechnology. Recent trends include advancing wearable medical sensors, neuromorphic circuit design, and computational models of spatial navigation systems. Scientific Awards: Presidential Scholarship, Harvard University School Project Prize, University of Manchester Clark School Distinguished Graduate Fellowship, University of Maryland Teaching and advising: Courses taught include VLSI system design (ECE 425), digital IC design (ECE 482), and specialized neuromorphic VLSI design (ECE 498 AA). No formal student advisees listed.

• Human Computer Interaction
• Sound and Music Computing
• Auditory Augmented Reality
• +۶ مورد دیگر

Georgios Marentakis is an Associate Professor at the Faculty of Computer Sciences, Østfold University College. His research focuses on human computer interaction (HCI), sound and music computing, and auditory perception. He holds an MSc in Electrical and Computer Engineering, an MSc in Acoustics and Signal Processing, and a PhD in Human Computer Interaction. His work spans sonic interaction design, auditory augmented reality, and accessibility technologies. Education: MSc in Electrical and Computer Engineering MSc in Acoustics and Signal Processing PhD in Human Computer Interaction Research Communities: Human Computer Interaction Acoustics and Psychoacoustics Audio Signal Processing Teaching: Sound Design and Production Interaction Design Software Development His research trends emphasize sound’s role in HCI, including assistive technologies for autism, multimodal interfaces, and spatial audio applications. Recent work explores accessibility through sound, such as eye fatigue reduction in mobile UIs and conversational interface impairments during locomotion. Marentakis contributes to initiatives like the Digital Society and collaborates with research groups like DeveLeP (Development Learning and Psychological Processes).

• Neuroscience
• Spatial Navigation
• Memory Formation
• +۳ مورد دیگر

May Britt Moser is a Professor at the Kavli Institute for Systems Neuroscience, NTNU. Her research focuses on the neural basis of spatial location, spatial memory, and cognition. She co-discovered grid cells in the entorhinal cortex, a breakthrough earning her the 2014 Nobel Prize in Physiology or Medicine alongside Edvard I. Moser and John O'Keefe. Key roles include Founding Director of the Centre for Algorithms in the Cortex and former Director of the Centre for Neural Computation (2013–2022). She holds a PhD in neurophysiology from the University of Oslo (1995). Research Interests: Moser’s work explores spatial navigation, memory formation, and neural circuits underlying cognition. Her group investigates grid-cell circuits, hippocampal-entorhinal interactions, and temporal coding mechanisms. Recent studies address object-vector coding, theta rhythm dynamics, and the impact of geometric environments on neural representations. Scientific Contributions: Over 50+ publications since 2010, including seminal work on grid cells, spatial coding, and neural oscillations. Key awards include the Nobel Prize and honors from the Royal Swedish Academy of Sciences. Teams & Projects: Leads the Moser group and initiatives like KiloNeurons and TheMini2P. Collaborates on large-scale imaging techniques and computational models of neural circuits.

Blaise Kirschnerمشاهده پروفایل

استاد

• Moving Image
• Contemporary Art Practice
• Sociopolitical Analysis
• +۳ مورد دیگر

Blaise Kirschner is a Professor of Fine Art specializing in Moving Image at the Royal Institute of Art in Stockholm. Their practice spans film, video installations, and expanded media, addressing socio-political, technological, and ecological themes through speculative fiction and historical reenactment. Kirschner holds a PhD in Contemporary Art Practice from the Royal College of Art (2022), with research focusing on post-cinematic media and cultural critique. Education: PhD Contemporary Art Practice, Royal College of Art, London (2017–2022) BA Fine Art, Slade School of Fine Art, London (1998–2002) Research Interests: Kirschner’s work interrogates how contemporary crises—ecological collapse, technological mediation, and socio-political upheaval—are encoded in cultural forms. Their installations and films draw on histories of resistance, pirate economies, and speculative genres to challenge dominant narratives. Exhibitions and Awards: Notable exhibitions include UNICA (Fluentum, Berlin, 2022) and Illiberal Arts (HKW, Berlin, 2021). A Jarman Award winner (2011), Kirschner’s works are held in collections like the British Film Institute and Arsenal Institut für Film- und Videokunst. Recent projects explore virtual reality, machinima, and decolonial critiques of technology. Teaching and Lectures: Kirschner teaches screenwriting, critical theory, and post-cinematic practices at institutions like Goldsmiths, Karlsruhe University, and Piet Zwart Institute. Their workshops address radical materialism, queer-feminist technoscience, and navigating virtual worlds. Awards and Grants: Recipient of TECHNE PhD Scholarship, Fluentum Art Commission, PCAI Art Commission, and multiple Arts Council grants. Their residencies include Beirut Artists’ Research Residency (Cairo, 2013) and Visual Arts Creative Development Residency (Cove, 2008). Labs and Collaborations: Kirschner collaborates with artists, theorists, and activists on projects like Abstraction and Economy (2022) and Radical Matter (2018). Their work often intersects with curatorial ventures, including 5 Uneasy Pieces (2016) and SUPERLUX Masterclass (2017).

Matthias Stanglمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Neurotechnology
• Human Brain Imaging Methods
• +۳ مورد دیگر

Matthias Stangl is an Assistant Professor of Biomedical Engineering at Boston University, with joint appointments in Psychological & Brain Sciences, Neurosurgery, and multiple research centers. His primary affiliation is the College of Engineering, and he leads the Stangl Lab. He holds a PhD from the German Center for Neurodegenerative Diseases and Otto-von-Guericke University Magdeburg, followed by a postdoctoral fellowship at UCLA. His research focuses on neural mechanisms underlying spatial navigation, memory, and age-related cognitive impairments. Methodologies include invasive electrophysiology (intracranial EEG, single-neuron recordings) and non-invasive techniques (fMRI, EEG) to study brain function in real-world and laboratory settings. Key research themes include Alzheimer’s disease risk prediction, closed-loop neuromodulation, and neurotechnology development. Affiliations: College of Arts and Sciences, Department of Psychological & Brain Sciences Chobanian & Avedisian School of Medicine, Department of Neurosurgery Center for Systems Neuroscience Cognitive Neuroimaging Center Neurophotonics Center Graduate Program for Neuroscience (GPN) Awards: Dean’s Catalyst Award (2025, BU College of Engineering) Cermak/Corkin Postdoctoral Award (2023, MDRS) NIH Pathway to Independence Award (K99/R00) His lab investigates multimodal neuroimaging approaches to bridge laboratory and real-world cognitive studies, supported by NIH funding. Current projects include wearable neurotechnology platforms and mobile iEEG recordings to advance understanding of neural dynamics in natural environments.

Michael Mackمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Cognitive Psychology
• Computational Modeling
• +۵ مورد دیگر

Michael Mack is an Associate Professor in the Department of Psychology at the University of Toronto . His research focuses on the interplay between attention , memory , and learning using behavioral experiments, computational modeling, and fMRI . He leads the Mack Lab , which investigates how the hippocampus and prefrontal cortex support concept formation and exception learning. Education: PhD in Cognition and Cognitive Neuroscience (Vanderbilt University), MS and BS in Computer Science (Michigan State University) Research Interests span cognitive neuroscience , category learning , and visual object recognition . His work emphasizes how selective attention shapes episodic memory and hippocampal pathways , with recent projects linking indoor air quality to neurocognitive function . Publications highlight trends in computational cognitive modeling , hippocampal circuitry , and scene perception . His team explores how microscopic hippocampal pathways and white matter microstructure influence learning outcomes. Scientific Awards include the Psychonomic Society Fellow Dean’s Excellence Award, U of T Vanderbilt Psychology Randolph Blake Early Career Award Memory Disorders Research Society membership Best Poster Award, Austin Conference on Learning and Memory

Angus Chadwickمشاهده پروفایل

مدرس

• Computational Neuroscience
• Artificial Intelligence
• Neural Circuit Dynamics
• +۱۲ مورد دیگر

Angus Chadwick is a Lecturer in Computational Neuroscience and Artificial Intelligence at the Institute for Adaptive and Neural Computation, School of Informatics, University of Edinburgh. He leads a research group focused on understanding neural circuit computations underlying perception and cognition, combining mathematical modeling, machine learning, and analysis of large-scale neural recordings. His research interests include: Neural dynamics in learning and attention Representation of space in hippocampus and entorhinal cortex Visuo-spatial processing in the brain Development of normative and mechanistic models of neural computation His recent publications demonstrate a strong focus on understanding how cortical and hippocampal circuits adapt during learning and attention, using dynamical systems theory and multivariate statistical modeling. His work bridges experimental neuroscience with artificial intelligence, particularly in modeling neural representations and their transformations during cognitive tasks. Scientific contributions and recognition: Published in top journals including Neuron , Nature Neuroscience , and eLife Co-senior author on high-impact studies in hippocampal coding Equal contribution author on seminal work in cortical interneuron dynamics He actively supervises PhD and Masters students and supports postdoctoral grant applications. His group is involved in international collaborations and develops open-source code. He teaches courses in computational and cognitive neuroscience and organizes training programs for graduate students in neuroinformatics.

Adrien Peyracheمشاهده پروفایل

استادیار

• Neuroscience
• Neural Circuits
• Spatial Navigation
• +۴ مورد دیگر

Adrien Peyrache is an Assistant Professor at the Department of Neurology and Neurosurgery, Faculty of Medicine and Health Sciences, McGill University, and directs the Peyrache Lab at The Neuro (Montreal Neurological Institute-Hospital). He holds the Canadian Research Chair in Systems Neuroscience (Tier 2) and joined the Azrieli Centre for Autism Research in 2022. His research investigates the neuronal basis of cognition, focusing on: Spatial navigation and the brain's 'GPS' in rodents Neural circuit organization during sleep and wake states Learning, memory consolidation, and neuronal population dynamics Neurodevelopmental disorders (autism) using Fragile X models His publications demonstrate expertise in neural coding mechanisms, particularly in head-direction systems, hippocampal-prefrontal networks, and sleep-related neural dynamics. Research frequently employs electrophysiology, computational modeling, and behavioral analysis. Awards and Honors: Killam Laureate (2017-2022) NIH K99 Award (2014) Human Frontiers Science Program Fellowship He chairs The Neuro's Open Science Prize committee and advocates for open neuroscience practices. His lab collaborates internationally on projects linking neural circuit dysfunction to epilepsy and depression.

John Protzkoمشاهده پروفایل

استادیار

• Social Psychology
• Cognitive Psychology
• Metascience
• +۳ مورد دیگر

John Protzko is an Assistant Professor in the Department of Psychological Science at Central Connecticut State University. As Director of the Assumption Lab, his research investigates causal assumptions in prejudice, intelligence and decision-making, and metascience (the study of how science is conducted). He actively mentors students through research assistantships and teaches undergraduate and graduate courses including Research Methods, Social Psychology, and History & Systems of Psychology. Research Interests His work spans three major areas: Prejudice : Examining how assumptions about group differences influence social perception Intelligence/Decision Making : Studying cognitive development and mechanisms of decision-making Metascience : Investigating methodological issues in psychological research, including measurement invariance and volunteer bias Scientific Contributions His research reveals critical insights about: Spatial cognition and GPS use Free will beliefs and cooperation Interventions for reducing achievement gaps Theoretical foundations of mind-wandering Environmental influences on early intelligence Honors 2024 CT Board of Regents Outstanding Research Award Multiple Professor of the Year and Excellence in Teaching awards (2021-2025) Leadership Associate Director, Psychological Science Accelerator Fellow, Psychonomic Society

James R Hinmanمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Computational Neuroscience
• Neural & Genomic Bases of Behavior
• +۵ مورد دیگر

Dr. James R Hinman is an Assistant Professor affiliated with the Department of Psychology and Beckman Institute for Advanced Science and Technology at the University of Illinois at Urbana-Champaign, operating within the College of Liberal Arts & Sciences. His research bridges cognitive neuroscience with computational approaches to understand spatial cognition and memory mechanisms. Research Focus: Spatial cognition and navigation Learning & memory systems Electrophysiology of hippocampal networks Autism-related neural representation of social landscapes Publication Trends: Recent work emphasizes egocentric boundary coding, retrosplenial cortex function, and hierarchical neural dynamics in spatial mapping. Collaborative studies with Michael E. Hasselmo explore cortical-subcortical interactions in freely behaving rats using advanced imaging and recording techniques. Laboratory Activities: The Hinman Lab employs high-density electrophysiology and calcium imaging to study neural coding in social contexts, including autism models. Current projects analyze population coding in hippocampus, entorhinal cortex, and striatum.

Thomas Stephanمشاهده پروفایل

پژوهشگر

• Neuroscience
• Functional Neuroimaging
• Vestibular Research
• +۳ مورد دیگر

Dr. Thomas Stephan serves as a Researcher at the Department of Neurology, Ludwig Maximilian University of Munich (LMU), working as a Scientist at the German Center for Vertigo and Balance Disorders within Munich University Hospital. He is part of Prof. Dieterich's experimental neurology research group, focusing on advanced neuroimaging techniques and vestibular system analysis. His institutional affiliation places him within one of the world's top 20 neurology clinics as recognized by Newsweek's 2025 ranking. Stephan's research centers on functional neuroimaging, visual-vestibular and visual-auditory interactions, multisensory processing, and specialized statistical analysis of neuroimaging data. His work bridges clinical neuroscience and sensorimotor research, investigating how the brain integrates sensory inputs for spatial orientation and balance. Key areas include vestibular pathway mapping, neural plasticity in response to vestibular loss, and age-related changes in vestibular-cortical networks. His methodologies heavily utilize fMRI, DTI, and galvanic vestibular stimulation to explore fundamental neural mechanisms. Analysis of his publication record (2002-2016) reveals consistent focus on vestibular neuroscience with evolving technical sophistication. Early work established foundational understanding of cerebellar activation during eye movements and methodological artifacts in fMRI, while later research expanded into network-level analysis of vestibular processing, aging effects, and cross-modal sensory integration. His contributions demonstrate progression from basic vestibular physiology to complex systems neuroscience, with particular emphasis on the thalamocortical vestibular network and its interactions with visual and auditory systems. He operates within LMU's Neurological Clinic and Polyclinic, which integrates 350+ professionals across Großhadern and city center campuses. The department's research infrastructure supports his work through the German Center for Vertigo and Balance Disorders and experimental neurology facilities, enabling translational research from basic mechanisms to clinical applications in balance disorders.

• Cognitive Psychology
• Communication Studies
• Visual Perception
• +۴ مورد دیگر

Dr. Hans Westerbeek serves as an Assistant Professor in the Language and Communication group within the Department of Languages, Literature and Communication at Utrecht University's Faculty of Humanities. His academic work bridges cognitive psychology, communication studies, and visual design with a particular focus on data visualization and visual communication. Westerbeek completed his PhD at Tilburg University in 2016 with a dissertation titled 'Visual realism: Exploring effects on memory, language production, comprehension, and preference.' His research career demonstrates a consistent trajectory from cognitive aspects of visual perception toward practical applications in information design and data communication. His research interests encompass cognitive psychology, communication studies, visual perception, visual design, and information visualization. Westerbeek's work particularly examines how visual elements affect comprehension, memory, and decision-making processes. His current research includes a Netspar Topicality project on visual communication of expected pension benefits and supervision of a PhD project addressing challenges in communicating about changes in the Dutch pension system. Analysis of his publication history reveals a strong focus on the intersection of visual design principles and cognitive processing. His work spans from fundamental research on visual perception and language production to applied studies on data visualization in domains including sports statistics, urban tourism, and financial communication. The recent shift toward pension communication demonstrates his ability to apply visualization principles to complex real-world communication challenges. As an educator, Westerbeek teaches CIS bachelor-level courses including CIW-lab and Rhetorics of Data Visualization, as well as the master-level Data Analysis and Visualization course. He also supervises theses and internships, mentoring students in the practical application of visualization principles. His technical expertise includes quantitative and qualitative research methods, statistical analysis, and programming skills in Bash, JavaScript, HTML, and Python. These technical capabilities support his research in creating and evaluating visual communication solutions across various domains.

Jacob M. Gravingمشاهده پروفایل

پژوهشگر

• Animal Behavior
• Computer Vision
• Deep Learning
• +۵ مورد دیگر

Jacob M. Graving is a Research Scientist at the Max Planck Institute of Animal Behavior, working in the Advanced Research Technology (ART) Unit within Central Scientific Services. Based in Konstanz, Germany, he focuses on developing advanced computational methods for measuring and analyzing animal behavior in both laboratory and field environments. Dr. Graving's research spans the intersection of artificial intelligence, data science, and animal behavior. His work combines computer vision, deep learning, and Bayesian statistical methods to create scalable, interpretable tools for behavioral analysis. He collaborates extensively with neuroscientists, biologists, physicists, and engineers to develop end-to-end pipelines from experimental design to computational analysis. A central theme in his research is building AI systems that go beyond prediction to test hypotheses and reveal scientific mechanisms. His publication record shows consistent contributions to understanding collective animal behavior, with recent work on locust swarming mechanisms challenging traditional alignment-based theories. His research demonstrates how AI can be used not just for prediction but for hypothesis testing and revealing underlying biological mechanisms. Dr. Graving leads the development of open-source tools like DeepPoseKit, which has been featured in prestigious outlets including Quanta Magazine, Nature Methods, and Nature News & Views. His work on drone-based tracking systems and automated barcode systems for animal tracking demonstrates his commitment to developing practical, field-deployable technologies. He maintains active engagement with the scientific community through GitHub, Bluesky, and academic conferences, reflecting his dedication to open science and interdisciplinary collaboration.

James Brayمشاهده پروفایل

استاد

• Assistive Technology
• Social Robotics
• Caregiver Respite
• +۷ مورد دیگر

James Bray is a Professor in the Department of Social Work at the University of Texas at San Antonio, affiliated with the College for Health, Community and Policy (HCAP). His research bridges social work, assistive technologies, and human-robot interaction, focusing on disabilities, caregiver respite, and inclusive policy frameworks. Notable awards include the SSWR Fellow (2017), Fulbright Scholar (2012), and Fulbright Specialist (2012). He has secured grants for collaborative research on mixed human-robot groups and caregiver support systems. Research spans 2014–2023, emphasizing assistive technology ethics, telework accommodations, and smart city inclusivity. Key publications analyze SAR applications for IDD caregivers, emotional numbing in veterans, and gender/age differences in robotics performance. Scientific recognition includes Society for Social Work and Research, U.S. Department of State, and journal-specific awards. His work integrates universal design principles and scenario planning for equitable technological futures.