جست‌وجوی استاد و پژوهشگر

• Biomechanics
• Neuroscience
• Human Locomotion
• +۴ مورد دیگر

Jonathan Matthis is an Assistant Professor in the Department of Biology at Northeastern University. His research focuses on the interplay between biomechanics, visual perception, and motor control during natural human locomotion. Research Themes: Visual control of gait, optic flow analysis, terrain navigation, motion capture technology, and sensorimotor integration. Key Contributions: Development of the FreeMoCap open-source motion capture system; studies on retinal motion statistics, gaze-foot coupling, and decision-making in complex environments. Contact: j.matthis@northeastern.edu , Mugar Life Sciences Building, Boston, MA. His work integrates eye tracking, motion capture, and photogrammetry to analyze how humans adapt to uneven terrain. Recent projects explore visual discriminability in Augmented Reality stepping tasks and phase-space planning methods for obstacle navigation.

• Robotics
• Human-Robot Interaction
• Biomedical Engineering
• +۵ مورد دیگر

Prof. Domenico Prattichizzo holds the position of Full Professor in the Department of Information Engineering and Mathematical Sciences at the University of Siena. His research focuses on advanced robotics, human-robot interaction, and biomedical engineering applications, with a strong emphasis on haptic feedback systems, soft robotics, and assistive technologies. He leads educational activities in control systems, robotics, and biotechnological engineering, contributing to the university’s Bachelor’s and Master’s programs. His work bridges robotics with healthcare, developing wearable devices for rehabilitation and neuromodulation solutions for neurological disorders. Key research areas include: Design of soft and rigid robotic grippers Haptic interfaces for teleoperation and human augmentation Neural control of robotic limbs for tetraplegia patients Wearable exoskeletons for stroke rehabilitation Sensory substitution devices for time perception Recent publications emphasize innovations in collaborative robotics, tactile feedback systems, and biomedical applications, with a focus on safety, adaptability, and human-centric design. His contributions to robotics education include developing open-source toolboxes and resources for undergraduate and graduate students.

Henrik Ehrssonمشاهده پروفایل

استاد

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

Henrik Ehrsson is a Professor of Cognitive Neuroscience at Karolinska Institutet's Department of Neuroscience, Sweden. He holds a PhD and MD from Karolinska Institutet and has been a faculty member since 2008. His research focuses on understanding the neural mechanisms underlying body ownership, multisensory integration, and self-awareness, with implications for neuroprosthetics and virtual reality applications. He leads the Cognitive Neuroscience of Bodily Awareness and Self-Cognition Group and the Brain, Body, and Self Lab . Education: MD and PhD, Karolinska Institutet (2003, 2001) Postdoctoral Fellowship, Wellcome Trust Centre for Neuroimaging, UCL (2008) Research Interests: Dr. Ehrsson investigates how the brain integrates sensory signals to form a coherent body representation, with applications to neuropsychiatric disorders, neuroprosthetics, and virtual reality. His work explores the neural basis of self-location, memory encoding, and interoception (e.g., heartbeat awareness in blind individuals). Key themes include: Body ownership illusions and their neural substrates Cross-modal plasticity in sensory-deprived populations Techniques like fMRI, EEG, and virtual/augmented reality Awards: ERC Advanced Grant (SELF-UNITY project) Swedish Research Council Distinguished Professorship Göran Gustafson Prize in Medicine Grants & Labs: Funded by Swedish Research Council, ERC, and Hjärnfonden. His labs feature advanced VR setups, EEG, TMS, and neuroimaging collaborations. Collaborations include NYU, Utrecht University, and clinical teams for translational research. Students: Supervises PhD/MA students like Xiaole Luan (Body Ownership) and August Hägerdal (Rubber Hand Illusion EEG studies).

Xiaoxiao Chengمشاهده پروفایل

مدرس

• Adaptive Control Systems
• Human-Machine Interaction
• Robotics
• +۵ مورد دیگر

Xiaoxiao Cheng is a Lecturer in Engineering Systems for Robotics at the University of Manchester's Department of Electrical and Electronic Engineering. Previously, he held roles as a Research Associate at Imperial College London (2020-2023) and a Research Fellow at Stanford University (2019-2020). He earned a Ph.D. in Electrical and Electronic Engineering from The University of Melbourne (2019), M.Phil. in Mechanical Engineering from Tsinghua University (2014), and B.Eng. in Mechanical Engineering from Beijing Institute of Technology (2011). His research focuses on intelligent autonomous systems and human-machine interfaces, integrating robotics, control theory, AI, and neuroscience. Key areas include adaptive control for human-robot interaction, sensory integration, intention detection, and multi-sensory feedback for applications in manufacturing and hazardous environments. He actively explores autonomous navigation and computational modeling to enhance human-machine collaboration. Recent publications emphasize haptic feedback systems, shared control in robotic surgery, and multimodal sensory datasets. His work contributes to SDGs related to industry innovation and infrastructure, and sustainable cities. Xiaoxiao Cheng welcomes prospective PhD students in robotics, control systems, and human-machine interaction. He is open to collaborations and can be contacted at Xiaoxiao.cheng@manchester.ac.uk .

Nori Jacobyمشاهده پروفایل

استادیار

• Cognitive Science
• Computational Neuroscience
• Music Cognition
• +۳ مورد دیگر

Nori Jacoby is an Assistant Professor in the Department of Psychology at Cornell University and a Research Group Leader at the Max Planck Institute for Empirical Aesthetics in Frankfurt. His research examines how internal representations shape sensory and cognitive abilities through computational approaches, cross-cultural studies, and large-scale behavioral experiments. Ph.D. from Hebrew University of Jerusalem (Edmond and Lily Safra Center for Brain Sciences) Postdoctoral training at MIT, UC Berkeley, and Columbia University Research areas include: Computational modeling of human perception Cross-cultural analysis of musical cognition Collective behavior in social networks Recent publications focus on: Global rhythm perception patterns Machine learning alignment with human cognition Oral transmission mechanisms in music evolution Scientific awards: NSF grant for collaborative creativity research Presidential Scholar in Society and Neuroscience Lab: Cornell Computational Cognition (CoCoCo) Lab

• Haptic Perception
• Multisensory Integration
• Material Properties
• +۴ مورد دیگر

Dr. Anna Metzger is a Lecturer in Psychology at Bournemouth University since 2021. She holds a BSc in Biology from Hanover, MSc in Cognitive Science from Osnabrück, and a Dr. rer. nat. in Psychology from Justus-Liebig University Giessen. Her research focuses on haptic and visual perception, particularly object shape/material property encoding through active touch and multisensory integration. She uses motion/eye-tracking, computational modeling, and virtual/augmented reality. Research Interests include: Exploration strategies in tactile perception Unsupervised learning of material properties Neural correlates of haptic perception Computational modeling of tactile saliency Her work has been recognized with a Best Paper Award (2018) from the Eurohaptics Society. Current grants explore haptic texture synthesis and 3D shape perception. She teaches courses on cognitive neuroscience, experimental design, and statistics at both undergraduate and postgraduate levels. Grants : Synthesising Haptic Textures through Unsupervised Learning (British Academy, 2024-) Perception of objects’ 3D shape (Royal Society, 2024-) She collaborates internationally and serves as Associate Editor for IEEE Transactions on Haptics and Eurohaptics Conference Proceedings .

Femke van Beekمشاهده پروفایل

استادیار

• Soft Robotics
• Haptic Perception
• Human-Computer Interaction
• +۵ مورد دیگر

Femke van Beek is an Assistant Professor in the Robotics section of the Department of Mechanical Engineering at Eindhoven University of Technology. Her research focuses on integrating soft robotics with haptic perception to develop autonomous robots with tactile sensing capabilities, particularly for agricultural applications within the 4TU Green Sensors project . She employs VR/AR experiments to study human haptic perception and design bio-inspired sensors. Academic Background : PhD in Psychonomics and Cognitive Psychology (Vrije Universiteit Amsterdam), MSc in Sensory Biology and Biomechanics (Wageningen University), and BSc in Biology (Wageningen University). Her research spans soft robotics , haptic feedback , and human-in-the-loop engineering , emphasizing practical sensor design and robotic movement optimization. Recent work includes open-source platforms for real-time control of soft robots and studies on vibrotactile vs. auditory feedback in tele-operation. Scientific Awards : Eurohaptics Society PhD Award (2017)

• Haptics
• Virtual Reality
• Human-Centered Robotics
• +۷ مورد دیگر

Carlos David Rodriguez Guerrero is an Associate Professor at KU Leuven, affiliated with the Faculty of Engineering Technology and Department of Mechanical Engineering. He specializes in robotic technologies for surgery, rehabilitation, and workplace injury prevention through the Robot Assisted Surgery (RAS) and Smart Instrumentation (SI) research groups. His research integrates human-centered robotics , haptic interfaces , and extended reality (XR) to enhance surgical precision and training. Current projects include: MIRACLE (2025-2028): Augmented reality-enhanced robot-assisted ultrasound for cervical spine surgery AR-Spine (2025): Augmented reality interaction scheme for cervical pedicle screw placement ICSI Training (2023-2027): Virtual reality simulation advancements Wearable haptic garments (2022-2024): Human-machine interaction and spatial task learning Publications demonstrate expertise in haptics , exoskeleton design , and sensorimotor learning , with applications in rehabilitation engineering and medical robotics . He contributes to the Leuven Centre for Affordable Health Technology and teaches courses in Information Management , Control Systems , and Medical Devices .

Daniele Nardiمشاهده پروفایل

استاد

• Cognitive Robotics
• Robotic Soccer
• Emergency Robotics
• +۴ مورد دیگر

Daniele Nardi is a Full Professor at Sapienza University of Rome, affiliated with the Faculty of Information Engineering, Computer Science, and Statistics, and the Department of Computer, Control, and Management Engineering "A. Ruberti". He has held this position since 2000 and previously served as a researcher (1988) and associate professor (1992) at the same institution. His academic journey began with a Laurea in Electronic Engineering from Politecnico di Torino (1981) and a Specialization in Control Systems Engineering from Sapienza (1984). Research interests include: Cognitive Robotics Robotic Soccer Emergency Response Robotics Assistive Robotics for Elderly Precision Agriculture Robotics Recent article trends focus on: Synthetic data generation for agricultural monitoring LLM-driven multi-agent planning systems Signal temporal logic applications in robotics Self-supervised learning techniques Virtual reality-based HRI evaluation Embodied AI and online grounding Scientific recognition includes: IJCAI Publisher's Prize 1991 Intelligenza Artificiale award 1993 RoboCup Mid-Size II Place 1998 AAMAS Best Robotic Demo 2008 ECCAI Fellow 2009 He leads the Cognitive Robot Teams laboratory and serves as President of the RoboCup Federation since 2011. As Presidente del Consiglio d'Area in Computer Engineering since 2004, he has shaped academic governance. His teaching includes Seminars in Artificial Intelligence and Robotics at the Master in AI and Robotics program, and Complements of Programming at the undergraduate level.

Luke Osbornمشاهده پروفایل

استادیار

• Neuroengineering
• Biomedical Engineering
• Prosthetics
• +۵ مورد دیگر

Luke Osborn, PhD, is an Assistant Professor in the Department of Biomedical Engineering at Case School of Engineering, part of Case Western Reserve University. He also holds an affiliation with the School of Medicine. His research focuses on restoring and enhancing human sensorimotor function through neuroengineering, bioinspired instrumentation, and human-machine interfaces. Key projects include developing neuromorphic tactile sensing systems for robotic limbs, multimodal stimulation paradigms for sensory feedback, and understanding neural mechanisms underlying sensorimotor integration. Dr. Osborn's work integrates noninvasive and invasive approaches to stimulate peripheral nerves and the somatosensory cortex, aiming to improve prosthetic functionality and human-machine integration. Recent advancements include multilayered e-dermis sensors, real-time thermal/touch feedback systems, and intracortical microstimulation techniques to modulate tactile sensitivity. His research spans materials science, computational modeling, and clinical applications. Publications emphasize sensory feedback mechanisms, neural stimulation technologies, and prosthetic system design. He has contributed to breakthroughs in tactile perception restoration and thermal feedback systems, with a focus on improving user experience and functionality in assistive devices. His work frequently involves collaborations across engineering, neuroscience, and clinical medicine. Scientific awards and recognition are not explicitly listed, but his prolific publication record and high-impact journals (e.g., Nature Biomedical Engineering , Science Robotics ) underscore his contributions. His lab focuses on translational research, bridging engineering innovations with clinical needs in neuroprosthetics and neural interfaces.

Richard Yuمشاهده پروفایل

استاد

• Wireless Networks
• Edge Computing
• Federated Learning
• +۷ مورد دیگر

Richard Yu is a Professor at the Carleton School of Information Technology, Carleton University. His research focuses on cross-layer design in wireless systems, security in wireless networks, green information technologies, and multimedia over wireless networks. He holds a Ph.D. from the University of British Columbia and is a Professional Engineer (P.Eng). His work integrates machine learning, edge computing, and reinforcement learning to address challenges in vehicular networks, autonomous systems, and IoT. Education Ph.D., University of British Columbia Research Interests Professor Yu’s research spans wireless communication systems , edge computing , and AI-driven optimization . He explores novel paradigms such as federated learning for industrial IoT, secure UAV-assisted satellite networks, and generative AI for video understanding. His work emphasizes practical applications in autonomous vehicles, smart infrastructure, and industry 4.0 systems. Recent Trends in Publications His recent articles highlight advancements in reinforcement learning frameworks for resource allocation, safety-critical AI in video generation, and cross-modal fusion for embodied agents. He also investigates hybrid NOMA/OMA systems and quantum-inspired algorithms for next-generation networks. Advising & Grants No specific advisees are listed, but his research is supported by grants focusing on edge intelligence, vehicular networks, and secure computing. Labs & Teams Associated with Carleton’s School of Information Technology research groups, focusing on wireless systems and AI for industrial applications.

• Ethnomusicology
• Cognitive Science
• Neuroscience
• +۵ مورد دیگر

Alexander Khalil is a Senior Lecturer in Music at University College Cork (UCC) and Visiting Senior Lecturer of Research at King’s College London’s Social Genetic Developmental Psychiatry Centre. His work bridges ethnomusicology, cognitive science, and neuroscience, focusing on the intersubjective experience of time in music. He holds a PhD in Music from UC San Diego (2009) and has held roles including Executive Director of the Center for World Music (1999-2003) and Postdoctoral Scholar at UCSD’s Temporal Dynamics of Learning Center (2010-2014). His research explores Byzantine chant, Middle Eastern music, and Balinese gamelan, with a focus on cultural cognition and group-level neural dynamics. Major projects include the SoundMind initiative (funded by the Tianqiao Chen Institute) investigating Audio Augmented Reality for dementia, and the Lullaby Exchange, a global crowdsourced lullaby archive. He has secured over €2.5M in grants including Irish Research Council and NSF funding. Teaching includes undergraduate courses in Middle Eastern music and cognitive ethnomusicology, alongside postgraduate modules in music perception and ethnomusicological theory. He supervises 15+ graduate students and chairs UCC’s Film, Music & Theatre Doctoral School. Awards include the IEEE Brain Initiative First Place Award (2016) and San Diego State University’s Alumnus of the Year (2013).

• Control Theory and Applications
• Robotics
• Artificial Intelligence
• +۲ مورد دیگر

Gökhan GÜNGÖR is a Lecturer at Karabük University, Faculty of Engineering and Natural Sciences, Department of Mechatronics Engineering. He holds a PhD (2020) and Master's Degree (2014) from University of Waterloo, Canada, and a BSc (2011) from Fırat University, Turkey, in Mechanical Engineering. Research Areas Control Theory & Applications Robotics Artificial Intelligence Mechatronics Image Processing His recent work focuses on AI-augmented reliability analysis for hydrogen-integrated renewable systems, adaptive control of cable-driven robots, and neuro-fuzzy sensorimotor control. He supervises research projects including Large Language Models for Multi-Agent Reinforcement Learning in Energy Systems (2024, TÜBA/TÜBİTAK-funded). Scientific Recognition 2023 Teknofest Health Innovation Second Prize (Supervisor) 2015 Waterloo Graduate Research Assistantship ($250k+) Multiple scholarships at Waterloo (2014-2017) 2011 National Project Competition First Prize (Turkey) He teaches undergraduate courses in Automatic Control, Signal & Systems, Digital Signal Processing, and graduate-level Autonomous Robotics. Currently serves as Director of Research and Application Center for Robot Technologies (2022-), and Quality Committee member (2022-).

Julia Berezutskayaمشاهده پروفایل

استادیار

• Brain-Computer Interfaces
• Neurotechnology
• Decoding Brain Signals
• +۴ مورد دیگر

Julia Berezutskaya serves as an Assistant Professor at Utrecht University within the Brain strategic program, leading the Utrecht-BCI lab dedicated to developing neurotechnology for individuals with motor impairments. Her research focuses on creating brain-computer interfaces (BCIs) to enable communication and computer control for people with severe movement disabilities, emphasizing patient-centered artificial intelligence applications in medical care. Her primary research areas include decoding neural signals for BCI applications, developing specialized BCI software and interactive games, and integrating functional electrical stimulation to reanimate paralyzed muscles. This work bridges fundamental neuroscience with clinical neurotechnology, targeting neurological and psychiatric disorders through innovative neuroengineering solutions that translate brain activity into actionable outputs for rehabilitation. Recent publication trends reveal a strong emphasis on electrode optimization for sensorimotor cortex recordings (2024), hybrid BCI-FES systems for motor restoration (2023), and advanced deep learning models for speech reconstruction from neural data (2023). These contributions demonstrate consistent progress in making BCIs more reliable, clinically applicable, and responsive to user needs across neurorehabilitation contexts. The Utrecht-BCI lab operates at the intersection of neuroscience, engineering, and AI, with a mission to elucidate neuronal mechanisms underlying healthy brain function to develop transformative neurotechnologies. Current projects focus on enhancing BCI accessibility through user-centered design while addressing ethical considerations in patient-centered AI deployment for neurological care.

• Tool use and the interplay of body, space, and time
• Sensorimotor representation and predictive learning
• Body ownership and sense of agency
• +۵ مورد دیگر

Dr. Amir Jahanian Najafabadi is a Lecturer in Neuroscience at the Faculty of Biology , Cognitive Neuroscience Department , Bielefeld University. He also holds a research position at Constructor University Bremen (DFG project 402779631) and serves as an Adjunct Lecturer in Psychology and Neuropsychology at Touro University Berlin. His academic journey includes visiting researcher roles at Radboud University, Minho University, and King's College London. Member of Cognitive Neuroscience Society (CNS) Member of European Federation of Neuroscience Societies (FENS) Member of Neural Control of Movement Society (NCM) Member of Portuguese Neuroscience Society (SPN) Member of European Society for Cognitive and Affective Neuroscience (ESCAN) His research explores the interplay of body, space, and time during tool use, plasticity of self-perception , and neuroplasticity in aging . He investigates how virtual reality and motor experiences reshape body ownership and time perception, with applications in neuropsychiatric disorders and assistive technologies . Current projects span healthy aging , sensorimotor experience plasticity , and gravity effects in extended realities . A key focus is the 2025-2028 BIAL Foundation grant analyzing time perception through physiological data and neural oscillations. Scientific awards: BIAL Foundation Grant 169/2024 His interdisciplinary collaborations span institutions in Germany, Norway, the Netherlands, Portugal, and Finland, integrating neuroscience , psychology , and signal processing to advance understanding of sensorimotor cognition.