جست‌وجوی استاد و پژوهشگر

Gregory Sawickiمشاهده پروفایل

استاد

• Wearable Robotics
• Biomechanics
• Neurophysiology
• +۳ مورد دیگر

Gregory Sawicki is a Professor and Joseph Anderer Faculty Fellow at Georgia Tech, holding joint appointments in the School of Mechanical Engineering and School of Biological Sciences. Effective 2025, he will serve as Interim Executive Director of Georgia Tech's Institute on Robotics and Intelligent Machines (IRIM). His academic journey includes a B.S. from Cornell University (1999), an M.S. from University of California-Davis (2001), and a Ph.D. in Human Neuromechanics from the University of Michigan (2007). Postdoctoral training at Brown University (2007–2009) followed, before joining NC State/UNC Chapel Hill as faculty (2009–2017) and Georgia Tech in 2017. His research focuses on the Human Physiology of Wearable Robotics (PoWeR Lab), exploring neuromechanical principles to design lower-limb exoskeletons that synergize with human physiology. Key areas include gait stabilization, aging locomotion, and post-stroke rehabilitation. Notable contributions include bio-inspired exoskeleton control frameworks and insights into muscle-tendon dynamics during perturbed movements. Education: Cornell University (B.S., 1999), UC Davis (M.S., 2001), University of Michigan (Ph.D., 2007) Awards: Joseph Anderer Faculty Fellow, 2021 Journal of Biomechanics Award (American Society of Biomechanics) Current projects emphasize symbiotic human-machine systems, leveraging real-time data for adaptive control. His lab’s work spans从 biomechanical modeling to clinical applications, aiming to enhance mobility for healthy and impaired populations.

Tansu Celikelمشاهده پروفایل

استاد

• Neural Information Processing
• Cognitive Artificial Intelligence
• Computational Modeling
• +۳ مورد دیگر

Tansu Celikel is a Professor and School Chair at the School of Psychology , Georgia Institute of Technology. His research focuses on neural information processing, cognitive AI, computational modeling, and neuroplasticity. He leads the Neuroloops lab, which explores perceptual learning through experimental and computational approaches in animals and humans. Key research contributions include identifying mechanisms of sensory-to-action transformation, developing real-time neuromodulation tools, and bridging animal/human studies through robotic control architectures. His lab has pioneered methods for millisecond-resolution behavioral quantification and neural interface systems. Publications emphasize interdisciplinary approaches spanning neuroscience, engineering, and AI. Current work targets closed-loop control of perceptual learning stages, from sensory input to motor execution. The lab's translational focus aims to apply neurobiological principles to robotics and cognitive enhancement technologies. Laboratory activities include hardware/software development for neural interfaces, computational modeling of sensory systems, and collaborative projects with robotics engineers. Experimental platforms involve rodents and human subjects to study shared perceptual mechanisms across species.

Sarah McIntyreمشاهده پروفایل

استادیار

• Neuroscience
• Sensory Neuroscience
• Neurophysiology
• +۳ مورد دیگر

Sarah McIntyre is an Assistant Professor at Linköping University's Department of Biomedical and Clinical Sciences (BKV), affiliated with the Faculty of Medicine and Health Sciences. She leads the McIntyre Lab and is part of the Center for Social and Affective Neuroscience (CSAN). Her research focuses on understanding how the nervous system processes touch sensations to fulfill physiological, emotional, and social functions, including studies on social touch communication, pain mechanisms, and alcohol reward systems. Key research interests include tactile perception, neural correlates of decision-making related to substance use, and the biomechanics of human interaction. She collaborates across disciplines, such as a project developing smart textiles for chronic pain relief. Recent work has explored neuronal encoding in mechanoreceptors, somatosensory cortical processing, and the role of Nav1.7 ion channels in pain pathways. Publications span neuroscience, psychopharmacology, and biomedical engineering, with emphasis on social touch nuances, sensory discrimination deficits post-stroke, and pandemic healthcare outcomes. McIntyre’s lab integrates experimental psychology, neuroimaging, and biomechanical analysis to decode tactile communication’s emotional and physiological underpinnings.

• Cardiovascular Disease
• Stroke
• Cognitive Impairment
• +۴ مورد دیگر

Dr. Michael De Silva is a Senior Lecturer in Human Physiology at La Trobe University, Australia. He is affiliated with the Microbiology, Anatomy, Physiology & Pharmacology school. His research focuses on cardiovascular diseases, stroke, cognitive impairment, and dementia, aiming to develop therapies for these conditions. He completed his PhD at Monash University in 2011 and conducted postdoctoral research at the University of Iowa (USA) under an NHMRC CJ Martin Fellowship. He joined La Trobe University in 2017. His research interests include cerebral microvascular dysfunction in hypertension and stroke, and the development of novel therapies. He has published in prestigious journals like Hypertension and Stroke, and has received awards from the American Heart Association and Australian Foundation for High Blood Pressure Research. Teaching interests include physiology and pharmacology. He is available for PhD supervision and collaborates on projects related to vascular biology and immunopharmacology. His lab is part of the Vascular Biology and Immunopharmacology Group (VBIG).

Karen E Adolphمشاهده پروفایل

استاد

• Motor Development
• Infant Cognition
• Developmental Psychology
• +۳ مورد دیگر

Karen E. Adolph is the Julius Silver Professor of Psychology and Neural Science at New York University, holding dual appointments in the Department of Psychology and the College of Arts & Science. Her research focuses on motor development, infant cognition, and action planning. She leads the NYU Action Lab, advancing understanding of how infants learn to move and interact with their environments through innovative methods like computer vision and robotics simulations. Adolph earned her Ph.D. in Experimental/Developmental Psychology from Emory University (1993), preceded by an M.A. (1996) and B.A. in Psychology and Fine Art from Sarah Lawrence College (1986). Her academic roles at NYU include Professorships in Psychology, Neural Science, and Applied Psychology since 1997. Her research emphasizes variability in motor performance, environmental influences on locomotion, and the integration of perception-action systems. Key themes include how infants adapt to varied terrain, the role of errors in learning, and cultural practices affecting motor development. She advocates for open science practices through initiatives like the Databrary project for sharing developmental datasets. Adolph’s work bridges developmental psychology, neuroscience, and robotics, with contributions to understanding how physical experiences shape cognitive and motor skill acquisition. Her lab employs cutting-edge technologies to quantify infant behavior in naturalistic settings, emphasizing ecological validity in developmental research.

Sean Trottمشاهده پروفایل

استادیار

• Computational Linguistics
• Cognitive Modeling
• Large Language Models
• +۳ مورد دیگر

Sean Trott is Assistant Teaching Professor in Cognitive Science at UC San Diego, specializing in language comprehension, computational modeling, and large language models. His research examines how humans and language models represent meaning and resolve ambiguity. Research combines behavioral experiments, corpus analysis, and LLM probing to investigate lexical ambiguity, context effects, and semantic representation. Current projects explore cognitive plausibility of LLMs and computational accounts of language processing. Publications analyze word meaning representation, theory of mind capabilities in LLMs, cross-linguistic differences in language processing, and educational applications of large language models. Recent work appears in Psychological Review, Cognitive Science, and ACL proceedings. Teaching covers computational social science, programming, statistics, and language-related courses. Developed the RAW-C dataset for studying ambiguous words in context. Maintains the Counterfactual newsletter on cognitive science and AI. Laboratory develops methods for using LLMs as cognitive models and evaluates their alignment with human language processing.

Eero P Simoncelliمشاهده پروفایل

استاد

• Computational neuroscience
• Visual perception
• Auditory perception
• +۳ مورد دیگر

Eero P Simoncelli is a Silver Professor at New York University, holding appointments in the Department of Neural Science, Mathematics, Data Science, and Psychology within the College of Arts & Science. He is affiliated with the Howard Hughes Medical Center and leads a research lab focusing on computational neuroscience and visual/auditory perception. Simoncelli earned his Ph.D. in 1993 from MIT. His research integrates statistical signal processing with neurobiological insights to understand sensory systems. Education: Ph.D. 1993, Massachusetts Institute of Technology. Research interests include computational modeling of visual and auditory perception, statistical image/signal processing, and neural coding mechanisms. His work bridges machine learning, neuroscience, and applied mathematics, with recent focus on motion detection, neural population coding, and hierarchical cortical models. Notable projects involve mapping spatial frequency selectivity in human visual cortex and developing biologically inspired AI architectures. Publications span topics like motion perception, neural circuit dynamics, and generative models for video prediction. His lab's work emphasizes practical applications in neuroscience and AI through tools like the Plenoptic stimulus synthesis platform. Simoncelli collaborates across disciplines to advance neuroAI integration and deep learning theory grounded in biological principles.

Anat Lubetzkyمشاهده پروفایل

دانشیار

• Sensory Integration
• Postural Control
• Virtual Reality Applications in Rehabilitation
• +۳ مورد دیگر

Anat Lubetzky is an Associate Professor in the Department of Physical Therapy at New York University's Steinhardt School of Culture, Education, and Human Development. She holds a PhD in Rehabilitation Science from the University of Washington (2014) and an MSc in Physical Therapy from Tel Aviv University. As director of Steinhardt's PhD program in Rehabilitation Sciences and a mentor in the Physical Therapy PhD program, she leads interdisciplinary research on sensory integration for postural control and fall prevention, particularly in populations with hearing or vestibular loss. Her research combines virtual reality (VR) technologies to study auditory-sensory interactions in balance, aiming to improve clinical assessments and rehabilitation strategies. Key areas include understanding how sound influences postural stability in individuals with hearing loss or vestibular dysfunction. Her work has been funded by the NIH and Hearing Health Foundation, with recent grants including an NYU MARL Center seed award. Dr. Lubetzky's lab focuses on developing accessible VR applications for balance assessment and has published over 70 peer-reviewed articles. Notable contributions include identifying increased fall risks in hearing-impaired populations and creating novel sound-based balance training protocols. She collaborates with experts in music technology, computer science, and clinical medicine to advance translational research. Education: PhD in Rehabilitation Science, University of Washington (2014) MSc in Physical Therapy, Tel Aviv University Bachelor's degree in Physical Therapy, Tel Aviv University Awards: NIH Research Funding Hearing Health Foundation Emerging Research Grant (2019) NYU MARL Center Seed Award (2025) Advising: Mentor for Brittani Morris (NIH Predoctoral Fellow) Guided postdoctoral researcher Dr. Liraz Arie Her lab, the Physical Therapy Sensorimotor Lab, emphasizes clinical translation of VR technologies and has presented work at major conferences like the Bárány Society Meeting. Dr. Lubetzky advocates for integrating auditory assessment into standard balance evaluations to address overlooked fall risks in hearing-impaired individuals.

Cagri Erdemمشاهده پروفایل

پژوهشگر ارشد

• Human-Computer Interaction
• Music Technology
• Machine Learning
• +۳ مورد دیگر

Çağrı Erdem is a Postdoctoral Fellow at the University of Oslo's Department of Informatics, exploring human-AI co-performance through embodied interaction and machine learning. Research focuses on: Shared control systems in musical performance Biosignal interfaces for artistic expression Machine learning for motion-sound relationships Multimodal interaction design His publications examine interactive instruments, AI improvisation systems, and cross-modal perception. Current projects include self-playing guitars and Nordic Sound and Music Computing initiatives. Teaching includes courses on interactive music, sound programming, and machine learning applications in creative computing.

Jun Jinمشاهده پروفایل

استادیار

• Robotics
• Machine Learning
• Reinforcement Learning
• +۴ مورد دیگر

Jun Jin is an Assistant Professor in the Department of Electrical & Computer Engineering at the University of Alberta and a Fellow of the Alberta Machine Intelligence Institute (Amii). His research focuses on robotic reinforcement learning, embodied artificial intelligence, and human-centered autonomy. He holds a PhD and has eight years of industry experience in autonomous systems, including autonomous driving and construction automation. He teaches ECE 720 B01 Robot Learning: Principles and Advances and leads the Human-Centered Autonomy (HCA) Lab, which hosts a weekly reading club. His research interests include developing scalable learning architectures for robots to adapt to dynamic environments, ensuring safe human-robot interaction, and advancing open-ended learning agents. Notable achievements include the ICRA 2022 Outstanding Student Paper Award and the KUKA Innovation Award 2018. He emphasizes applying robotics to construction (e.g., infrastructure maintenance robotics) and healthcare. Dr. Jin actively mentors students through competitive research assistant positions and collaborates with Amii for computational and industrial resources. His lab fosters a community-driven approach to advancing robotics through interdisciplinary research and public engagement.

Laurissa Tokarchukمشاهده پروفایل

مدرس ارشد

• Mobile and Location-Based Gaming
• Game AI
• Data-Driven Human-Computer Interaction (HCI)
• +۷ مورد دیگر

Dr. Laurissa Tokarchuk is a Senior Lecturer at Queen Mary University of London's School of Electronic Engineering and Computer Science, affiliated with the Game AI and Cognitive Science research groups and the Centre for Intelligent Sensing (CIS). Her research focuses on mobile and location-based gaming, data-driven HCI, mobile sensing, and social computing. She has led projects like the EPSRC ImpactQM KTA on location estimation and the Royal Society-funded virus prevention study with UESTC. Dr. Tokarchuk teaches modules including Digital Media and Social Networks and has supervised over 20 MSc and 70 undergraduate projects. Research Interests: Mobile gaming, social sensing, VR/AR applications, crowd behavior analysis, and adaptive recommendation systems. Her work includes the SensingKit framework for mobile sensing and the adaptive Twitter crawler for event detection. Grants & Awards: Recipient of the Drapers award for Teaching (2010/11), EPSRC grants (e.g., DSTL PhD Studentship, TRIDEC EU FP7), and leadership roles in IGGI (Intelligent Games and Game Intelligence). She has published over 50 peer-reviewed articles and serves on program committees for IEEE Conference on Games and others. Labs & Teams: Active in CIS, leading research on sensor-based systems and collaborating with industry partners like BBC and Somethin’ Else. Her lab develops tools like SensingKit and adaptive crawling software for real-time event analysis.

James R. Isonمشاهده پروفایل

استاد

• Auditory Neuroscience
• Sensory Processing
• Age-Related Hearing Loss
• +۲ مورد دیگر

James R. Ison is a Professor in Brain and Cognitive Sciences with joint appointments in Otolaryngology and Neurobiology & Anatomy at the University of Rochester. His research program investigates auditory temporal processing deficits in aging populations using mouse models to bridge neurobiological mechanisms with human presbycusis. Key research areas include auditory gap detection, neural encoding of sound offsets, and sensory-motor integration. His published work demonstrates how genetic manipulations (e.g., Kcna1 deletion) affect temporal acuity and spatial hearing. Recent studies focus on age-related changes in auditory cortex and glial cells, employing electrophysiological and behavioral techniques to model human hearing decline.

Michela Gallagherمشاهده پروفایل

استاد

• Neuroscience
• Aging Research
• Neurobiology
• +۳ مورد دیگر

Michela Gallagher is the Krieger-Eisenhower Professor of Psychology and Neuroscience at Johns Hopkins University's Krieger School of Arts and Sciences. She leads the Neurogenetics and Behavior Center, focusing on translational research in neurocognitive aging, Alzheimer’s disease, and hippocampal dysfunction. Her work combines rodent models with human clinical trials, emphasizing the interplay between genetic and environmental factors in aging. Supported by NIH grants and stimulus funds, her research informs drug development and cognitive intervention strategies. Key Affiliations: Neurogenetics and Behavior Center, Solomon Snyder Department of Neuroscience Research Themes: Hippocampal hyperactivity in MCI, translational drug discovery, and successful aging mechanisms Her studies investigate neural mechanisms underlying cognitive decline, with a focus on treatments like AGB101 and levetiracetam to reduce hippocampal overactivity. She has pioneered high-throughput behavioral phenotyping in genetically diverse mice, advancing understanding of age-related neural variability. Notable Awards: Goodes Prize (2018), Mika Salpeter Lifetime Achievement Award (2014), Gantt Medal (2017) Grants: Over 20 years of NIH NIA support; Grand Opportunity Award (ARRA 2009); NINDS collaborations Lab Infrastructure: State-of-the-art facilities for cognitive, affective, and sensorimotor behavioral testing in rodents Current Projects: HOPE4MCI clinical trial; proteomic studies of aging-related protein changes; schizophrenia models using ketamine

Karen Chenمشاهده پروفایل

دانشیار

• Human Factors Engineering
• Virtual and Augmented Reality
• Occupational Safety and Ergonomics
• +۴ مورد دیگر

Karen Chen is an Associate Professor in the Edward P. Fitts Department of Industrial and Systems Engineering at North Carolina State University, part of the College of Engineering. She holds affiliations with the NC Occupational Safety and Health Education and Research Center (ERC) and collaborates with The Ergonomics Center of North Carolina. Her lab focuses on Virtual and Augmented Reality applications for training, healthcare, and occupational safety. Education: Ph.D., MS, and BS in Biomedical Engineering from University of Wisconsin-Madison (2009-2015). Postdoctoral research at Northeastern University's Healthcare Systems Engineering Institute. Key awards include the Goodnight Early Career Innovators Award and NSF/NIOSH funding. Research interests center on human-technology interactions in VR/MR environments, particularly for training, healthcare, and workplace safety. Recent work explores scale cognition in educational VR, embodiment effects on cognitive performance, and robot-related workplace injuries. Her lab engages in K-12 STEM outreach via media and public events like North Carolina Comicon. Publications emphasize VR's psychological impacts, ergonomic interface design, and workplace safety innovations. Collaborations span academia and industry, with media features on WRAL5 and CW22 highlighting her work's societal impact.

Ryan Petersمشاهده پروفایل

دانشیار

• Neuroscience
• Motor Control
• Biomedical Engineering
• +۷ مورد دیگر

Dr. Ryan Peters is an Associate Professor in the Faculty of Kinesiology at the University of Calgary and a Full Member of the Hotchkiss Brain Institute. He holds a PhD and B.A. in Psychology, Neuroscience & Behaviour from McMaster University (2013 and 2008). His research focuses on the neural basis of human movement, integrating physiological, behavioral, and computational techniques. He leads the Integrative Sensorimotor Neuroscience Laboratory and co-founded Vibratus Inc., a company developing wearable vibration technologies for neurological diagnostics and monitoring. His work addresses declines in somatosensory function in aging and neurological disorders, aiming to improve clinical assessment methods and rehabilitation strategies. Dr. Peters specializes in microneurography, enabling direct recordings of human somatosensory neurons. His research streams include basic studies on fusimotor system dynamics and applied projects on wearable devices for remote health monitoring. He has contributed to understanding age-related sensory changes, postural control adaptations, and the neurophysiological impacts of combat sports. His innovations in vibration-based diagnostics offer novel solutions for conditions like diabetic neuropathy and post-chemotherapy sensory deficits. In teaching, he instructs courses on sensorimotor neuroscience and advanced topics at the University of Calgary. His industry collaborations and academic leadership reflect a commitment to translating neuroscientific insights into practical healthcare applications.