جست‌وجوی استاد و پژوهشگر

Keya Ghonasgiمشاهده پروفایل

استادیار

• Human-Robot Interaction
• Rehabilitation Robotics
• Wearable Exoskeletons
• +۳ مورد دیگر

Keya Ghonasgi is an incoming Assistant Professor at Rice University's Mechanical Engineering Department , starting July 2025. Currently serving as a postdoctoral fellow at Georgia Tech's EPIC Lab , their research focuses on human-robot partnerships for rehabilitation and performance augmentation using wearable exoskeletons. Ghonasgi holds a Ph.D. from the University of Texas at Austin (2023) and an M.S. from Columbia University (2018). Education includes: Ph.D. in Mechanical Engineering, University of Texas at Austin (2023) M.S. in Mechanical Engineering (Robotics & Controls), Columbia University (2018) B.E. Mechanical Engineering and M.S. Mathematics, BITS Pilani, Goa, India Research interests emphasize: Reinforcement learning for human-exoskeleton interaction analysis Design of ergonomic wearable robotics interfaces Motor learning processes in human-robot systems Key publications include work on exoskeleton hand interfaces, kinematic coordination analysis, and human-robot control laws. Notable awards: 2022 Rising Star in Mechanical Engineering (Stanford) 2023 CalTech Young Investigator Lecturer NSF M3X Grant Recipient Grants and collaborations include funding from UT Austin, NSF, Meta Reality Labs, and Google Brain. Advising focus: Human-robot collaboration dynamics and assistive technologies.

Emily Jensenمشاهده پروفایل

استادیار

• Control Systems
• Power Systems
• Robotics
• +۳ مورد دیگر

Emily Jensen is an Assistant Professor in the Department of Electrical, Computer & Energy Engineering at the University of Colorado, Boulder. She specializes in the analysis and control of spatially-distributed systems with applications in power grids, satellite constellations, and bio-inspired robotics. Her work focuses on developing theoretical frameworks to optimize system performance under constraints such as communication limitations and nonlinear dynamics. Education: B.S. in Engineering Mathematics & Statistics, UC Berkeley, 2015 M.S./Ph.D. in Electrical & Computer Engineering, UC Santa Barbara, 2020 Professional Appointments: Postdoctoral Researcher at UC Berkeley (2022-2023) Postdoctoral Researcher at Northeastern University (2021) Her research interests center on optimal distributed control, system-level synthesis, and the interplay between system structure and controller design. Key projects include multi-timescale power network control, nonlinear wave dynamics in engineering systems, and distributed parameter systems with limited communication. Dr. Jensen has delivered invited talks at high-profile venues such as the International Symposium on Mathematical Theory of Networks & Systems (2024) and the System Level Synthesis Workshop (2022). She currently advises a team of graduate and undergraduate researchers, including Addie McCurdy, Andy Gusty, and Matt Baughman (co-advised with Prof. Hodge). Awards: UC Regents’ Graduate Fellowship (2016) Zonta Amelia Earhart Fellowship (2019) IFAC Conference Young Author Award Honorable Mention (2022) She teaches ECEN 3300 (Linear Systems) and ECEN 5738 (Nonlinear Control Systems) at CU Boulder. Her work has been published in IEEE journals and conferences, emphasizing theoretical contributions with practical engineering relevance.

Mark Goldmanمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Circuits
• Synaptic Plasticity
• +۴ مورد دیگر

Mark Goldman is a Professor in the Department of Neurobiology, Physiology and Behavior at the University of California, Davis. His research focuses on computational neuroscience, neuroengineering, and the study of neural circuits underlying memory, learning, and sensorimotor control. He is affiliated with the Center for Neuroscience and the Ophthalmology and Vision Science program. His work integrates mathematical modeling with experimental data to understand neural mechanisms in systems such as the cerebellum, oculomotor systems, and reinforcement learning circuits. Key research themes include synaptic plasticity rules, dynamics of neural circuits during memory consolidation, and the interplay between circuit architecture and adaptive behavior. Recent studies explore closed-loop systems, oscillatory mechanisms in short-term memory, and context-dependent neural control. His computational frameworks bridge theoretical neuroscience with experimental observations in both vertebrate and microbial systems. Goldman has contributed to education through innovative course-based research programs combining microbial biology with mathematical modeling. His publications reflect a deep engagement with interdisciplinary methods, including systems theory, machine learning, and biophysical modeling.

• Sensory Neuroscience
• Cognitive Psychology
• Neurophilosophy
• +۳ مورد دیگر

Dr Antonio Cataldo is a Research Fellow affiliated with the Institute of Philosophy at the University of London. His research focuses on sensory neuroscience, cognitive psychology, and neurophilosophy, particularly investigating multisensory integration, perceptual processes, and the neural mechanisms underlying self-perception. His work bridges empirical research and philosophical inquiry, exploring how sensory inputs are aggregated into coherent experiences. Key research themes include the interplay between tactile and motor signals in spatial self-perception, the modulation of agency through haptic feedback, and the paradoxical interactions within somatosensory submodalities. Cataldo has contributed to understanding thermal referral illusions, pain modulation by warmth, and the salience-driven biases in tactile perception. His studies often employ experimental paradigms combining neurophysiological measures and behavioral experiments. Publications highlight his exploration of touch perception, sensorimotor integration, and clinical applications of perceptual mechanisms in conditions like depersonalization. He is actively engaged in interdisciplinary research, with affiliations including University College London (UCL) for consultancy and media collaborations. No scientific awards are explicitly listed, though his prolific publication record indicates sustained academic engagement. His research has been supported by collaborations with institutions such as UCL and international conferences like EuroHaptics.

Jean-Sébastien Blouinمشاهده پروفایل

استاد

• Balance Control
• Sensorimotor Physiology
• Neural Control of Neck Muscles
• +۵ مورد دیگر

Jean-Sébastien Blouin is a Professor at the University of British Columbia (UBC), affiliated with the School of Kinesiology within the Faculty of Education . He leads research at the Sensorimotor Physiology Laboratory , focusing on human balance, vestibular system dynamics, and neural control of neck muscles. Research Themes Physiological mechanisms of balance Neural responses to whole-body perturbations Clinical applications in whiplash injury prevention Collaborations MEA Forensic Engineers & Scientists (Richmond, BC) His recent publications emphasize sensorimotor adaptation, vestibular thresholds, and EMG analysis. While no scientific awards are listed, his work spans experimental physiology, clinical applications, and computational neuroscience. He collaborates with institutions on neuromechanical effects of injuries and balance rehabilitation. Contact: jsblouin@mail.ubc.ca | Office: Lower Mall Research Station, Room 350, Vancouver, BC

Andrew J. Spenceمشاهده پروفایل

دانشیار

• Locomotor Neuromechanics
• Spinal Cord Injury
• Biomechanics
• +۱۴ مورد دیگر

Andrew J. Spence is an Associate Professor in the Department of Bioengineering at Temple University's College of Engineering, where he leads the Spence Lab focused on locomotor neuromechanics and spinal cord injury. His work integrates experimental biology, mathematical modeling, robotics, and molecular genetic tools to understand how animals move and how movement can be restored after injury. PhD in Applied and Engineering Physics, Cornell University Postdoctoral training at UC Berkeley with Bob Full and Eileen Hebets Former RCUK Fellow and faculty at the Royal Veterinary College, London Joined Temple University in 2013 His research interests center on the control of locomotion, gait analysis, spinal cord injury, neuroprosthetics, and the application of optogenetics and chemogenetics (DREADDs) in neuromuscular disorders. He also explores biomechanics in diverse species, from insects to racehorses, seeking general principles of movement. The 15 most recent publications reveal a strong trend toward integrating genetic tools with biomechanical analysis, particularly in rodent models of spinal cord injury. His work spans fundamental questions in animal locomotion and applied research in rehabilitation, with increasing emphasis on closed-loop systems, automated tracking, and neuromodulation. RCUK Tenure Track Research Fellowship W.M. Keck Foundation predoctoral fellowship Spence advises a multidisciplinary team of students and postdocs, collaborates with Professors Michel Lemay and George Smith on spinal cord injury projects, and leads NIH-funded research. His lab develops open-source tools for locomotion analysis and has contributed significantly to understanding stability, gait transitions, and sensory feedback in movement. He teaches courses in neuroengineering and biomechanics at both undergraduate and graduate levels. The Spence Lab is actively involved in developing neurogenetic interventions for spinal cord injury, studying gait adaptation in complex environments, and creating innovative instrumentation for neuromechanical research.

John Kubieمشاهده پروفایل

دانشیار

• Hippocampal function
• Spatial cognition
• Navigation behavior
• +۵ مورد دیگر

John Kubie is an Associate Professor in the Department of Cell Biology at SUNY Downstate Medical Center's School of Medicine. His research career spans several decades, with publications dating from the 1980s to the present day. Dr. Kubie has maintained a consistent focus on understanding the neural mechanisms underlying spatial cognition and navigation. Dr. Kubie's primary research interest centers on hippocampal place cells and their role in spatial navigation and cognitive mapping. His work combines experimental neuroscience with computational modeling to understand how populations of neurons represent space and contribute to navigation behavior. He has extensively studied how place cells—pyramidal neurons that fire only when an animal is in specific locations—form the basis of cognitive maps that help rats navigate their environment. His research has explored how place cells adapt to novel environments, how they're affected by hippocampal lesions, and how their firing patterns relate to spatial memory. His publication record shows a consistent trajectory from early foundational work on place cell properties in the 1990s to more recent investigations into hippocampal remapping, neural network dynamics, and computational models of spatial cognition. Recent publications indicate continued active research in computational neuroscience, including studies on theta-resonant pyramidal neurons and the relationship between grid cells and hippocampal function. Dr. Kubie has maintained a long-standing collaboration with Dr. Robert U. Muller, as evidenced by numerous co-authored publications spanning decades. After Dr. Muller's passing, Dr. Kubie co-authored a memorial piece honoring his colleague's contributions to neuroscience. His laboratory has developed sophisticated techniques for recording from multiple neurons simultaneously and has created behavioral tasks to assess spatial capabilities in rats. The work bridges experimental neuroscience with computational approaches, seeking to develop computer models that can solve navigational problems similar to those solved by the biological hippocampus.

• Neural Engineering
• Neuromuscular Systems
• Electromyography
• +۴ مورد دیگر

Madeleine Lowery is a Professor in the School of Electrical and Electronic Engineering at University College Dublin. She leads the Personal Sensing research group, focusing on engineering approaches to study the human nervous system in health and disease, with applications in therapies for impaired motor function. Her interdisciplinary research integrates neural engineering, electromyography, and biomedical signal processing. Specializes in neuromuscular systems and neural control of movement Develops myoelectric control systems for artificial limbs Designs high-density electrode systems for neural activity recording Investigates deep brain stimulation mechanisms in Parkinson’s disease models Her research spans neurodegenerative disorders (ALS, Huntington’s disease) and rehabilitation technologies , including wearable sensors for gait and sleep analysis. Key methodologies involve computational modeling , adaptive control systems , and biomedical signal analysis .

Yves Rybarczykمشاهده پروفایل

استاد

• Human-Machine Interaction
• Telepresence and ownership
• Ergonomics
• +۱۰ مورد دیگر

Yves Rybarczyk is a Professor at Nova University of Lisbon (Portugal). He holds a PhD in NeuroRobotics from the University of Evry (France), awarded in 2004 for his work on modeling human-like behaviors to enhance Human-Robot Cooperation in teleoperation. His research focuses on Human-Machine Interaction, Robotics, and Serious Games applied to health and education. His group develops adaptive games for science education and assistive technologies for motor and cognitive disabilities. Education: PhD in NeuroRobotics, University of Evry (France), 2004. Research Interests: Telepresence, Ergonomics, and Sensorimotor Loop Assistive & Rehabilitation Technologies Robotics (Biologically-inspired, Animal-Robot Interaction) Serious Games and Embodied Cognition Professional Roles: Steering committee member of eNTERFACE workshops on Multimodal Interactions; reviewer for top journals/conferences. Projects & Outputs: Over 50 peer-reviewed articles, interactive educational/rehabilitation tools, and participation in national/international research projects.

Maria A. Martinمشاهده پروفایل

پژوهشگر

• Climate Change Modeling
• Glaciology
• Numerical Simulation
• +۳ مورد دیگر

Dr. Maria A. Martin has been affiliated with the Potsdam Institute for Climate Impact Research (PIK) since 2008, initially as a doctoral student and later transitioning to a post-doctoral researcher. Since 2014, she has served as a Research Analyst within the Scientific Directors' Staff department. Her academic background includes a physics degree from the University of Potsdam and Université Pierre-et-Marie-Curie in Paris, where her doctoral thesis focused on synchronization in quantum-optical resonators. At PIK, she co-developed the Parallel Ice Sheet Model and conducted pioneering research on Antarctic ice-flow dynamics using numerical modeling techniques. Dr. Martin's research interests span climate modeling, glaciology, and environmental science, with a particular emphasis on understanding the mechanisms driving ice-sheet dynamics and their implications for sea-level rise. Her work integrates advanced computational models with observational data to address critical questions in climate science. Beyond technical contributions, she has engaged in science communication through initiatives like the children's podcast Pinselohr . Her professional network and collaborations are reflected in her participation in interdisciplinary projects at PIK, including contributions to policy advice and software development related to climate impact research. She holds an ORCID identifier (0000-0002-1443-0891) and maintains active involvement in academic discourse through peer-reviewed publications and institutional outreach activities.

Inseung Kangمشاهده پروفایل

استادیار

• Wearable Robotics
• Rehabilitation Robotics
• Medical Robotics
• +۱۲ مورد دیگر

Inseung Kang is an Assistant Professor in the Department of Mechanical Engineering at Carnegie Mellon University's College of Engineering. He leads the MetaMobility Lab, where his interdisciplinary research focuses on enhancing human mobility through robotics, wearable systems, and artificial intelligence. His work integrates mechatronic design, deep learning, control theory, and biomechanics to develop intelligent assistive technologies such as robotic exoskeletons for individuals with motor impairments. Education: Ph.D., Mechanical Engineering, Georgia Tech, 2021 M.S., Mechanical Engineering, Georgia Tech, 2018 B.S., Mechanical Engineering, Georgia Tech, 2016 Dr. Kang's research interests span wearable robotics, rehabilitation robotics, medical robotics, control theory, human sensorimotor systems, neural engineering, neuroscience, signal processing, and AI-driven human-robot interaction. His lab emphasizes the development of adaptive, user-aware robotic systems that can optimize assistance across diverse locomotor tasks, such as walking, stair climbing, and slope navigation. By combining physics-informed simulations, computer vision, and real-time sensor feedback, his team aims to create intuitive, personalized wearable interventions. The recent publications highlight a strong trend in machine learning-based control, real-time gait phase estimation, joint moment and kinematics prediction, and human-in-the-loop optimization. These works reflect a cohesive research agenda focused on making exoskeletons more intelligent, responsive, and clinically viable. The integration of deep learning with biomechanical modeling enables rapid adaptation to user needs and environmental changes. Scientific Awards: No awards listed in the provided text. Dr. Kang advises students in the MetaMobility Lab, supervising research on wearable robotics, control systems, and human movement analysis. His lab is equipped with advanced mechatronic platforms, robotic exoskeletons, and sensor systems for real-time data acquisition. He has not received any named grants in the provided text, but his research is clearly funded through institutional and possibly federal support. The lab fosters collaboration across engineering, neuroscience, and rehabilitation disciplines. Laboratory & Team: The MetaMobility Lab at CMU is dedicated to pioneering next-generation wearable robotics. The team works on developing mechatronic platforms, AI algorithms, and control frameworks that enhance human mobility. Their focus includes powered hip and knee exoskeletons, gait stability, and personalization techniques using computer vision and wearable sensors.

Tim Schneiderمشاهده پروفایل

پژوهشگر

• Robotics
• Reinforcement Learning
• Robotic Manipulation
• +۲ مورد دیگر

Tim Schneider is a Ph.D. student at the Intelligent Autonomous Systems lab of Technische Universität Darmstadt , working in collaboration with École Centrale de Lyon under the Aristotle project. His research focuses on robotics , particularly at the intersection of active perception , tactile sensing , and robotic manipulation . His work investigates how robots can develop environmental understanding through physical interaction , drawing parallels to children's exploratory behavior . Key projects include tactile reinforcement learning , active inference for manipulation , and visuo-tactile sensor fusion in dynamic tasks. Recent publications emphasize foundation models for tactile learning , sensor simulation (TacEx), and multi-modal control systems (AllmAN). He supervises theses on topics ranging from teleoperation feedback to haptic MNIST benchmarks , with a focus on reinforcement learning applications in robotic systems.

• Robotics
• Tactile Sensors
• Biomechatronics
• +۳ مورد دیگر

Dr. Chris Ford is a Researcher affiliated with the University of the West of England (UWE) and the Bristol Robotics Lab. His current position is Research Associate within the School of Engineering Mathematics and Technology. He holds a PhD, MEng, and BEng in relevant fields. His work focuses on advancing tactile-driven robotic systems, particularly in underactuated anthropomorphic hands and their applications in human-robot collaboration. Education: PhD (exact field unspecified) MEng (Master of Engineering) BEng (Bachelor of Engineering) Research Interests: Dr. Ford specializes in the design and control of tactile robotic hands, emphasizing underactuated mechanisms, biomimetic systems, and safe human-robot interaction. His work bridges mechanical engineering, computer science, and neuroscience to create adaptable robotic manipulation systems. Publications Trends: His recent publications (2021–2025) emphasize tactile sensor integration, underactuated hand design, and gravity-invariant manipulation. Key themes include 3D-printed robotic components, antagonistic tendon systems, and sim-to-real transition in tactile robotics. Awards & Grants: No scientific awards or grants explicitly mentioned in the provided text. Labs & Teams: Active member of the Bristol Robotics Lab, collaborating with institutions like Pisa/IIT on low-cost, soft robotic solutions.

Britton Sauerbreiمشاهده پروفایل

استادیار

• Motor Control
• Neural Circuits
• Neurodegenerative Diseases
• +۳ مورد دیگر

Britton Sauerbrei is an Assistant Professor in the Department of Neurosciences at Case Western Reserve University's School of Medicine. Their research focuses on understanding the neural circuits governing skilled motor control, particularly how distributed neural networks enable adaptive movement and how these dynamics are disrupted in neurodegenerative diseases. They employ high-density electrophysiological recordings, optogenetic manipulation, and computational modeling to study neural ensemble activity during natural behaviors. Education: Bachelor of Arts in Mathematics, University of Chicago (2009) PhD in Computation and Neural Systems, California Institute of Technology (2015) Research Interests: The lab investigates principles underlying neural activity flow in motor control circuits, with emphasis on cerebellar-cortical interactions and disease-related alterations. Techniques include Neuropixels recording probes, optogenetics, and computational methods like adaptive functional PCA. Key Findings: Recent work demonstrates the cerebellum's role in discontinuous movement control and reveals input-driven cortical dynamics during dexterous tasks. Innovations include the development of high-density neural probes ( Neuropixels 2.0 ) and novel motor unit recording devices. Lab & Collaborations: The Sauerbrei Lab actively explores neurodegenerative disease models and sensorimotor integration mechanisms. Collaborative projects focus on translating findings to understand movement disorders and developing computational tools for neural data analysis.

David Kirshمشاهده پروفایل

استاد

• Distributed Cognition
• Embodied Cognition
• Human-Computer Interaction
• +۴ مورد دیگر

David Kirsh is a Professor in the Department of Cognitive Science at the University of California, San Diego. He holds a D.Phil from Oxford University and completed post-doctoral work at MIT's AI Lab. His research focuses on distributed cognition, embodied cognition, and human-computer interaction, with specific interests in how environments shape cognitive processes and how physical objects become tools for thought. Key research areas include: Theory of Interaction: Examines how people adapt environments to simplify cognitive tasks Environment Design: Develops principles for designing collaborative spaces and smart rooms Information Architecture: Designs large-scale web systems and information spaces Dr. Kirsh directs the Interactive Cognition Lab and co-directs the Arthur C. Clarke Center for Human Imagination. His work bridges cognitive science with practical applications in workplace design, e-learning, and human-computer interaction.