جست‌وجوی استاد و پژوهشگر

Danfei Xuمشاهده پروفایل

استادیار

• Robotics
• Artificial Intelligence
• Machine Learning
• +۵ مورد دیگر

Dr. Danfei Xu is an Assistant Professor at the School of Interactive Computing at Georgia Tech and a part-time Research Scientist at NVIDIA AI. He holds a B.S. from Columbia University (2015) and a Ph.D. from Stanford University (2021), advised by Fei-Fei Li and Silvio Savarese. His research focuses on enabling robots to perform physical tasks in human environments through advancements in robotics, machine learning, and computer vision. Education: B.S. in Computer Science, Columbia University (2015) Ph.D. in Computer Science, Stanford University (2021) Research Interests: Robot Learning from Human Data (e.g., egocentric videos) Long-horizon reasoning via generative models Robot learning systems (hardware/software integration) Imitation learning, reinforcement learning, and visuomotor control Recent Articles Trends: His publications emphasize generative models for skill chaining, uncertainty-driven mapping, and human-in-the-loop learning. Key themes include leveraging diffusion models for complex manipulation tasks and developing open-source robotic systems. Awards and Grants: Meta Grant (2024) for robot learning from human data NSF Grant (2024) for generative models in robotics Autodesk Grant (2023) for high-precision manipulation IEEE RA-L Best Paper Honorable Mention (2024) ICRA 2024 Best Paper Award (Open-X-Embodiment) Advising and Teaching: Georgia Tech courses: Deep Learning (CS 7643/4644), Deep Learning for Robotics (CS 8803 DLM) Ph.D. recruitment in Robotics/ML/AI Lab: Robot Learning and Reasoning Lab (RL2) Labs and Teams: RL2 Lab develops adaptable robotic 'brains' for home, healthcare, and search/rescue Focus areas: End-to-end learning, generative models, and open-source systems

John Doyleمشاهده پروفایل

استاد

• Control Theory
• Systems Biology
• Neural Networks
• +۳ مورد دیگر

John Doyle is a Professor at the California Institute of Technology, affiliated with the Division of Engineering and Applied Science and the Control and Dynamical Systems department. His research focuses on theoretical foundations of complex networks across technology, biology, neuroscience, ecology, and social systems, integrating control theory, computing, communications, and multiscale physics. He emphasizes layered architectures that balance efficiency, adaptability, and robustness in systems like the brain and engineered networks. Doyle teaches advanced courses such as CDS 131 (Linear Systems Theory) and CDS 231 (Robust Control Theory), reflecting his expertise in control systems. His work has received recognition through awards like the Axelby Outstanding Paper Award and the Test of Time Paper Award. Notable students include Ray Sun, Ethan Pronovost, and Louise Schul, who have received Henry Ford II Scholar Awards. His research explores how biological and technological systems achieve performance despite constraints like limited resources and noisy communication. Key areas include sensorimotor control, immune system dynamics, and distributed control architectures. Collaborations span fields from synthetic biology to cybersecurity, emphasizing interdisciplinary problem-solving.

Gideon Rothschildمشاهده پروفایل

استادیار

• Neuroscience
• Sensory Processing
• Memory Consolidation
• +۴ مورد دیگر

Dr. Gideon Rothschild is an Assistant Professor of Psychology at the University of Michigan. He holds an adjunct position in Otolaryngology–Head and Neck Surgery. His research explores neural circuit mechanisms linking sensation and memory, using neurophysiological and optical techniques in rodent models. He completed his B.Sc. in computer science and computational biology at the Hebrew University of Jerusalem, followed by a Ph.D. in neuroscience in 2012. Postdoctoral work at UCSF under Loren Frank focused on auditory cortex-hippocampus interactions during memory processes. His lab investigates how sensory experiences and memories interact, particularly in the neocortex and hippocampus. Key projects include studying auditory cortical-striatal circuits for sound-triggered predictions, sleep's role in memory consolidation, and the impact of sensory inputs during sleep. The lab employs electrophysiology, optogenetics, and behavioral assays to dissect these processes. Recent publications emphasize neural synchronization, cortico-striatal pathways, and the effects of sensory interference on memory. The Rothschild Lab actively recruits graduate students and postdocs to advance these studies. His work bridges computational neuroscience with experimental neurophysiology, aiming to uncover fundamental principles of brain function in health and disease.

Angelo Cangelosiمشاهده پروفایل

استاد

• Cognitive Robotics
• Neural Networks
• Human-Robot Interaction
• +۲ مورد دیگر

Angelo Cangelosi is Professor of Machine Learning and Robotics at the University of Manchester's School of Computer Science, where he co-directs the Manchester Centre for Robotics and AI. He holds affiliations as a Turing Fellow at the Alan Turing Institute and visiting positions at Università Cattolica Milano and Hohai University. Dr. Cangelosi leads the Cognitive Robotics Lab, focusing on cognitive and developmental robotics, neural networks, language grounding, human-robot trust, and healthcare robotics. His interdisciplinary work integrates computational modeling with psychological principles to advance socially intelligent systems. His research spans cognitive architectures for social perception, embodied language learning, and transparent human-robot interaction. Current projects explore theory of mind modeling, multimodal emotion recognition, and trustworthy AI systems for safety-critical applications. Cangelosi's publications demonstrate consistent innovation in human-robot collaboration frameworks, with recent work examining mental state modeling for trust, interpretable reinforcement learning, and ethical dimensions of creative AI systems. His scholarship bridges robotics, cognitive science, and AI ethics. Awards: IEEE ICDL-EPIROB Modelbot Award (2019) European Research Council Advanced Grant (2023) He directs multiple EU and UKRI grants including ERC Advanced project, TRAINCREASE, and PRIMI. Collaborations include Honda, BAE Systems, and Jacobs. As Editor-in-Chief of Interaction Studies and IET Cognitive Computation and Systems , he shapes discourse in cognitive robotics.

• Neuroscience
• Neurophysiology
• Spinal Reflex Modulation
• +۷ مورد دیگر

Aiko Thompson, Ph.D. is a neuroscientist and Associate Professor in the College of Health Professions at the Medical University of South Carolina (MUSC) in Charleston, SC. She leads an active research laboratory focused on neurophysiology and rehabilitation science, with particular emphasis on spinal reflex modulation and operant conditioning approaches for improving motor function after central nervous system damage. Dr. Thompson earned her Ph.D. with Dr. Richard Stein at the University of Alberta, Canada, where she conducted non-invasive human neurophysiology research related to functional electrical stimulation (FES) foot drop simulator and spinal reflex modulation during walking. She then completed postdoctoral training with Dr. Jonathan Wolpaw at the Wadsworth Center in Albany, NY, where she developed the human H-reflex operant conditioning protocol. Dr. Thompson's research focuses on understanding CNS plasticity in human sensorimotor control and how to guide this plasticity to restore useful function after CNS damage. Her current work investigates functional roles of spinal reflexes and evaluates CNS plasticity associated with operant conditioning of EMG evoked responses (such as spinal reflexes and motor evoked potentials to transcranial magnetic stimulation) in people with spinal cord injury and other neuromuscular disorders. Her laboratory has pioneered approaches to condition spinal reflexes to improve motor function recovery after neurological damage. Analysis of Dr. Thompson's recent publications reveals a strong focus on applying operant conditioning techniques to modify spinal and corticospinal pathways for rehabilitation purposes. Her work spans multiple neurological conditions including spinal cord injury, stroke, and multiple sclerosis, with particular attention to how reflex conditioning can improve specific motor functions like walking and upper limb control. The research increasingly incorporates advanced methodologies including transcranial magnetic stimulation, EMG monitoring, and closed-loop therapeutic systems. Dr. Thompson has secured significant research funding from the National Institutes of Health (NIH), Department of Defense (DoD), South Carolina funding sources, and private endorsements to support her ongoing investigations. Her work has resulted in numerous clinical trials exploring reflex conditioning approaches for various neurological conditions. Since establishing her laboratory in 2007, Dr. Thompson has developed a robust research program with multiple ongoing clinical trials. Her work bridges basic neuroscience with clinical rehabilitation, creating novel therapeutic approaches that target specific neural pathways to improve functional outcomes for individuals with neurological damage. Her research team collaborates with clinicians and engineers to translate laboratory findings into practical clinical applications for improving movement function after CNS damage.

Marco Controzziمشاهده پروفایل

دانشیار

• Biorobotics
• Prosthetics
• Medical Robotics
• +۳ مورد دیگر

Marco Controzzi is an Associate Professor at the Biorobotics Institute of Scuola Superiore Sant’Anna, Pisa, Italy. He specializes in advanced prosthetics and medical robotics, focusing on improving human lives through artificial devices like myoelectric hands and neuroprosthetics. His research integrates sensory feedback systems, robotic control algorithms, and biomechanical design to enhance prosthetic functionality and user interaction. Education: M.Sc. in Mechanical Engineering from the University of Pisa (2008), Ph.D. in Biorobotics from Scuola Superiore Sant’Anna (2013). He founded the spin-off company Prensilia Srl, commercializing robotic solutions. Key affiliations include the ARTS-Lab and Human-Robot Interaction Laboratory at Sant’Anna. Research interests span prosthetic design, haptic interfaces, neural feedback systems, and clinical applications for amputees. His work emphasizes interdisciplinary approaches combining engineering, neuroscience, and clinical practice. Recent projects include the Myokinetic prosthesis with implanted magnets and the Virtual Eggs Test for hand dexterity assessment. Teaching roles include courses like Rehabilitation Engineering (University of Pisa) and Robotics for Assisted Living (MSc Bionics Engineering). Over 100 publications and multiple patents reflect his contributions to prosthetic innovation and robotic systems.

Grégoire Courtineمشاهده پروفایل

استاد

• Neuroscience
• Neuroprosthetics
• Motor Control
• +۳ مورد دیگر

Grégoire Courtine is a Professor at École Polytechnique Fédérale de Lausanne (EPFL), directing the UPCOURTINE lab within the Neuro-X Institute. His research focuses on developing neuroprosthetics and neurorehabilitation strategies to restore motor function after spinal cord injuries and neurological disorders. The lab combines spinal cord stimulation robotic interfaces optogenetics single-cell omics clinical translation to advance treatments for paralysis and movement disorders. Recent work spans both fundamental studies and clinical trials, including interventions for Parkinson’s disease and orthostatic hypotension. Publications highlight innovations in deep brain stimulation neuroprosthetic systems spinal cord mapping autonomic function modulation with a strong emphasis on interdisciplinary approaches bridging neuroscience and engineering.

Jürgen Steimleمشاهده پروفایل

استاد

• Human-Computer Interaction (HCI)
• Wearable Computing
• Haptic Interfaces
• +۶ مورد دیگر

Prof. Dr. Jürgen Steimle is a full professor at Saarland University's Department of Computer Science and director of the Human-Computer Interaction and Interactive Technologies Lab. He previously served as Dean of the Faculty of Mathematics and Computer Science (2022–2024), and held roles at MIT (Visiting Assistant Professor, 2012–2014) and the Max Planck Institute for Informatics. His research focuses on embodied and embedded interfaces, including wearable computing, haptic interaction, and novel materials for interactive systems. Education: PhD in Computer Science from TU Darmstadt. Research Interests: On-body interaction, wearable computing, flexible sensors/displays, digital fabrication, and human-robot interaction. His work emphasizes merging technology with the human body and environment to enhance natural interaction. ERC Starting Grant recipient Best Paper Awards at ACM UIST, CHI, and IEEE ICALT Best Dissertation Award 2009 (GI/SI/OCG) Advising & Grants: Supervised over 15 PhD students. Secured grants including an ERC Starting Grant and Google Faculty Award. Current students include Yu Jiang and Arata Jingu. Labs/Teams: Leads the Human-Computer Interaction Lab at Saarland Informatics Campus, focusing on epidermal computing, soft materials, and tangible interfaces.

Jessica Ausbornمشاهده پروفایل

دانشیار

• Computational Neuroscience
• Neurobiology
• Locomotion Control
• +۳ مورد دیگر

Jessica Ausborn, PhD, is an Associate Professor in the Department of Neurobiology & Anatomy at Drexel University College of Medicine. She leads the Ausborn Lab, focusing on computational modeling of neural networks underlying locomotion, respiration, and sensorimotor integration. Her research integrates experimental findings with biophysical models to study neuronal mechanisms in both vertebrate and invertebrate systems. Education: PhD (Dr. rer. nat.) in Neurobiology from Ulm University, Germany (2007), with a thesis on central pattern generators in locust flight. Research interests include neural algorithms for visual feature integration, control strategies of brainstem circuits for context-specific locomotion, and spinal locomotor circuitry. Her work is funded by NIH (NINDS), NSF (CRCNS, DARE), and prior grants from the German Research Foundation (DFG). Key collaborations involve institutions such as the University of St Andrews, CNRS, and Johns Hopkins University. The lab currently supports PhD and MS candidates in Neuroscience, including Anthony Moreno Sanchez and Phuong Tran. Recent studies explore adaptive locomotion in cats, Drosophila escape circuits, and spinal motor circuit dynamics. Labs/Teams: Ausborn Lab (Drexel) and Computational Neuroscience Center. Her research bridges theoretical modeling with experimental neuroscience to advance understanding of motor control and neural circuitry.

Scott Beardsleyمشاهده پروفایل

دانشیار

• Neuroengineering
• Neuroplasticity
• Human Visuo-Motor Processing
• +۳ مورد دیگر

Dr. Scott Beardsley is an Associate Professor and Director of Undergraduate Studies in the Joint Department of Biomedical Engineering at Marquette University and the Medical College of Wisconsin (MCW). His research focuses on neuroengineering, neuroplasticity, and sensorimotor control, with applications in stroke rehabilitation, multiple sclerosis, and epilepsy. He holds a B.S. in Physics and Mathematics from the University of Wisconsin-Whitewater, a Ph.D. in Biomedical Engineering from Boston University, and completed a postdoctoral fellowship there. His research integrates experimental and computational approaches to study neural coding, functional neuroimaging, and clinical neuroscience. Key areas include EEG-fMRI coupling, cortical activity in movement disorders, and neuroprosthetic design. He leads the Integrative Neural Systems Laboratory (INSL) and teaches courses like Biomedical Instrumentation Design and Neural Engineering. Recent work involves predicting seizure onset zones via machine learning and exploring visual-motor deficits in neurological disorders. He collaborates on grants focusing on sensorimotor error correction and clinical neurology research. His contributions advance translational neuroscience, bridging engineering and clinical practice.

Wilsaan Joinerمشاهده پروفایل

استاد

• Neuroscience
• Motor Control
• Sensory Integration
• +۴ مورد دیگر

Wilsaan Joiner is a Professor in the Department of Neurobiology, Physiology, and Behavior at the University of California, Davis. He holds affiliations with the Center for Neuroscience and the Neuroscience Graduate Group. His research focuses on sensory integration, motor control, and neural mechanisms underlying behavior in healthy and impaired populations, including studies on prosthetic embodiment, motor adaptation in children with congenital limb deficiencies, and time perception influenced by motor activity. Education: B.S. in Biomedical Engineering, Saint Louis University (2001) Ph.D. in Biomedical Engineering, Johns Hopkins School of Medicine (2007) Research interests include prosthetic design, neural rehabilitation, and multisensory integration. Key work explores how sensory information guides movement planning and perception, with applications in clinical populations such as amputees and individuals with schizophrenia. Joiner’s lab develops technologies like sonomyography for prosthetic control and investigates haptic interfaces for space robotics. Publications highlight advancements in prosthetic embodiment, pediatric motor control, and the neural underpinnings of motor learning. His work emphasizes translational research, advocating for standardized testing protocols in prosthetics and collaborative data-sharing frameworks in spinal cord injury studies.

Ivana Konvalinkaمشاهده پروفایل

دانشیار

• Social Neuroscience
• Physiological Coupling
• Hyperscanning EEG
• +۷ مورد دیگر

Ivana Konvalinka is an Associate Professor in the Department of Applied Mathematics and Computer Science at the Technical University of Denmark, researching social neuroscience with a focus on intra- and inter-personal mechanisms of social interaction. Her work develops joint action paradigms and multivariate methods to quantify two-person processes at behavioral, neural, and physiological levels. Research interests include: Real-time action coordination Neurophysiological mechanisms of mutual interaction using dual EEG Physiological signal coupling during coordination and observation Her publications predominantly explore hyperscanning EEG methodologies, interpersonal synchronization dynamics, and neural mechanisms of social cognition. Recent work demonstrates a focus on developing novel analytical frameworks for two-brain interactions and clinical applications of synchronization metrics. Current projects: Interpersonal synchronization as a marker of listening engagement Group interaction temporal dynamics Social network effects on neural/behavioral dynamics Transdiagnostic symptom clusters in PTSD EEG biomarkers in trauma disorders

Kay Tyeمشاهده پروفایل

استاد

• Neuroscience
• Systems Neuroscience
• Neural Circuits
• +۷ مورد دیگر

Kay Tye, PhD is a Professor at the Salk Institute for Biological Studies in the Systems Neurobiology Laboratory. She holds the Wylie Vale Chair and is a Howard Hughes Medical Institute Investigator. Her research focuses on understanding the neural circuits underlying emotion, motivation, and social behavior. Tye employs advanced techniques like optogenetics to dissect circuits in the amygdala and limbic system, linking them to behaviors like fear, reward-seeking, and social interaction. Her work has revealed how distinct neural pathways govern positive and negative valence, informing treatments for anxiety, addiction, and mood disorders. Education: Bachelor of Science in Brain and Cognitive Sciences, MIT PhD in Neuroscience, University of California, San Francisco Research Interests: Tye’s lab explores social homeostasis, the neural basis of stress responses, and how social isolation impacts behavior and addiction. Her work bridges molecular, circuit, and behavioral levels, using multidisciplinary approaches to map how circuits encode valence and drive adaptive behavior. Recent studies include identifying how social exclusion amplifies pain perception and uncovering cortical circuits governing social competition. Awards & Honors: Howard Hughes Medical Institute Investigator (2021) Blavatnik National Award for Young Scientists (2021) NIH Director’s Pioneer Award (2017) Technology Review’s 'Top 35 Innovators Under 35' (2014) Grants & Advising: Tye leads a lab with a focus on mentorship, emphasizing collaborative environments and trainee development. Her lab has pioneered technologies like AlphaTracker for behavioral analysis and developed novel optogenetic methods to study neural circuits. Labs & Teams: Her lab at Salk integrates physiology, genetics, and imaging to study social behavior and emotional processing. Collaborations span addiction neuroscience, stress biology, and translational approaches to mental health.

Eiman Azimمشاهده پروفایل

دانشیار

• Neural Circuits
• Motor Control
• Spinal Cord Function
• +۴ مورد دیگر

Eiman Azim is an Associate Professor at the Salk Institute for Biological Studies , holding the William Scandling Developmental Chair. His research focuses on neural circuits governing dexterous movement, particularly how the brain and spinal cord coordinate complex motor behaviors. He employs molecular genetic tools, electrophysiology, and advanced imaging to dissect motor pathways. Education: BS in Biology and BA in Philosophy of Science (Stanford University); PhD in Neuroscience (Harvard University); Postdoc (Columbia University). Affiliations: Kavli Institute for Brain and Mind. Research Interests: Investigating sensorimotor integration, spinal circuits for skilled movements, and how feedback mechanisms enable precise motor control. His work has revealed modular neural circuits for specific movements and identified pathways critical for stability and adaptability during motion. Awards: Includes the 2024 Brain Research Foundation Award, PECASE (2019), McKnight Scholar Award (2018), and multiple NIH grants. His lab collaborates on neural recording technologies and translational research for neurodegenerative diseases and prosthetics. Labs/Teams: Azim Lab at Salk, focusing on motor control with interdisciplinary approaches. Collaborations include work with Sam Pfaff and Axel Nimmerjahn on spinal cord recording techniques, and projects with clinicians on deep-brain stimulation for Parkinson’s patients.

Erzsebet Reganمشاهده پروفایل

دانشیار

• Computational Biology
• Systems Biology
• Cellular Regulatory Networks
• +۴ مورد دیگر

Erzsebet Regan is the Whitmore-Williams Associate Professor of Biochemistry and Molecular Biology at The College of Wooster . Her research focuses on uncovering principles of coordination between cellular phenotypes across multiple scales, using computational modeling to predict emergent behaviors in health and disease. She is currently on leave for Fall 2025. Education Ph.D., University of Notre Dame, 2004 M.S., Babes-Bolyai University, 2000 B.S., Babes-Bolyai University, 1999 Research Interests Dr. Regan's work explores hierarchical biological systems, emphasizing the dynamic coordination of cellular regulatory networks. Her studies span: Cancer cell biology (proliferation, senescence, apoptosis) Cellular aging mechanisms Neuronal differentiation and inflammation Stem cell state transitions Endothelial heterogeneity Scientific Awards Henry Luce III Fund for Distinguished Scholarship (multiple grants) Hamburger Endowment for Collaborative Projects Advising & Collaborations She has advised numerous College of Wooster Independent Study students in projects involving Boolean modeling of cellular processes. Collaborations include NIH-funded work with William Aird (BIDMC) on endothelial dynamics and Dr. Katie Bentley on vascular morphogenesis.