جست‌وجوی استاد و پژوهشگر

Simon Wattمشاهده پروفایل

مدرس ارشد

• Cognitive Neuroscience
• Sensorimotor Control
• 3D Vision
• +۴ مورد دیگر

Dr. Simon Watt is a Senior Lecturer in the Department of Psychology at Bangor University's School of Psychology and Sport Science, where he has worked since 2004. He directs the Cognitive Neuroscience Institute and integrates fundamental science with practical applications through his research in Pasteur's Quadrant framework. PhD in Psychology (2001) - University of Surrey MSc in Research Methods in Psychology (1996) - University of Surrey BSc in Psychology (1994) - Cardiff University His research explores sensorimotor control and 3D vision, focusing on tool use, multisensory integration, and visual-haptic interactions. Key applications include prosthetic hand development and VR display optimization . Article analysis shows consistent themes in 3D perception , haptic integration , and robotic control frameworks across 2000-2024. Notable collaborative work includes international projects with institutions like UC Berkeley. 2023 Queen's Anniversary Prize REF 2021 Top 30 UK for Societal Impact As module organizer for Masters Research Rotation (PRP-4013) and Undergraduate Dissertation modules, he supervises Molly Hewitt on next-gen prosthetics research with Ambionics.

Brandon Starkمشاهده پروفایل

عضو هیئت علمی

• Unmanned Aerial Systems (UAS)
• Remote Sensing
• Agricultural Engineering
• +۳ مورد دیگر

Brandon Stark is a Research Assistant Professor in the Mechanical Engineering department at the University of California, Merced. His work focuses on advancing unmanned aerial systems (UAS) for remote sensing applications in agriculture, environmental monitoring, and cyber-physical systems. He leads research in optimizing UAS operations for precision agriculture, water resource management, and infrastructure inspection, with a strong emphasis on system integration and risk mitigation. His research interests span drone technology, fractional-order control systems, and the development of rigorous protocols for safe UAS operations. His lab website highlights ongoing projects in aerial imaging systems, SWIR spectroscopy, and human factors in UAS piloting. Stark has contributed to over 30 peer-reviewed articles since 2010, with a focus on practical applications of UAS in real-world scenarios. Stark's work bridges mechanical engineering principles with applied environmental science, addressing challenges such as crop water stress quantification, pipeline leak detection, and photovoltaic system optimization. His research also explores interdisciplinary areas like neurorobotics and biomedical signal processing, demonstrating a commitment to innovative cross-disciplinary approaches.

Sven Langeمشاهده پروفایل

پژوهشگر

• Sensor Fusion
• Simultaneous Localization and Mapping (SLAM)
• Mobile Robotics
• +۵ مورد دیگر

Dr.-Ing. Sven Lange is a post-doctoral researcher at Technische Universität Chemnitz (TU Chemnitz), affiliated with the Chair of Automation Technology and the Chair of Neurorobotics. His work spans research, education, and project management in robotics. Research interests include: Factor-graph optimization for SLAM and sensor fusion Nonlinear least squares methods in robotics Robust navigation for autonomous systems GNSS signal processing in urban environments Educational robot design for undergraduate courses Integration of multi-modal error models in state estimation Key publication trends focus on factor graphs, outlier mitigation, and sensor fusion techniques for UAVs, GNSS, and indoor navigation. His work emphasizes parameter-free algorithms and open-source implementations. Projects include DLR SpaceBot Cup robotics, smartLoc GNSS navigation, and TUC-Bot educational platforms. He has contributed to sensor fusion frameworks for Ceres and GTSAM solvers.

Eszter Somogyiمشاهده پروفایل

مدرس ارشد

• Developmental Psychology
• Social Learning
• Body Awareness
• +۵ مورد دیگر

Dr. Eszter Somogyi is a Senior Lecturer and Associate Head (Global Engagement and Education Partnerships) in the School of Psychology, Sport and Health Sciences at the University of Portsmouth. With a PhD in autism spectrum disorder research from Paris Descartes University, she has held positions at institutions including Eötvös Loránd University and Paris West–Nanterre University. Her work bridges developmental psychology, human-robot interaction, and educational interventions. Education: Health Psychology (MSc), PhD in Sociocognitive Development Key Research Themes Infant social learning and intention attribution Prosocial behavior in early childhood Mindfulness programs in schools Body awareness through tactile/motor training Recent publications focus on Child Development (2023), Mindfulness (2024), and Neurorobotics (2018). She received the Research in Paris award (2012) and leads international education partnerships. Scientific output trends reveal interdisciplinary work across Psychology, Robotics, and Public Health . Teaching includes undergraduate and Masters-level modules in Psychology and Health Psychology. Scientific Awards : Research in Paris award (2012) She coordinates international student recruitment , contributes to PhD supervision , and manages counselling course partnerships with Eastleigh College. Her lab explores infant motor development and human-robot interaction .

Amedeo D’Angiulliمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Developmental Science
• Environmental Risks
• +۲ مورد دیگر

Amedeo D’Angiulli is a Professor in Neuroscience at Carleton University, cross-appointed as Lead Scientist at CHEO Research Institute. His NICER Lab conducts multidisciplinary research spanning cognitive neuropsychology, developmental science, and AI/neurorobotics. Research clusters include neurocognitive development in socioeconomic contexts, consciousness studies, environmental health impacts on cognition, and computational neuroscience methods. His teaching covers research methodologies, neuroscience of creativity, and theoretical developmental sciences. Key publications explore sleep impacts on adolescent cognition, music training's neurobehavioral effects, air pollution-related neurological risks, and mental imagery mechanisms. He also investigates haptic perception in blind populations and neuro-robotic modeling.

• Robotics
• Control Systems
• Automation
• +۱۰ مورد دیگر

ABDERRAHIM FICHOUCHE, MOHAMED is an Associate Professor in the Department of Systems Engineering and Automation at the Carlos III University of Madrid (UC3M), where he also serves as Deputy Director of the Doctorate. He is affiliated with the Robotics Lab research group and the Pedro Juan de Lastanosa Institute of Technology Development and Innovation. His academic and research profile spans robotics, control systems, biomedical engineering, and power systems. His research interests include robotics , automation , control systems , biomedical signal processing , computer vision , and renewable energy integration . His work focuses on intelligent robotic systems, rehabilitation robotics, EEG-based brain-computer interfaces, fault detection in power systems, and advanced control strategies for industrial and autonomous systems. The recent publications reflect a strong trend in interdisciplinary research, combining machine learning with signal processing for applications in medical diagnostics , robotic control , and smart grid monitoring . His work increasingly integrates deep learning , wavelet analysis , and adaptive control across domains. He has led major research projects such as: HANDLE (EU and national funding): Focused on dexterous in-hand manipulation. SARAH: Enhancing robot autonomy with artificial hands. PAPREC: Automatic grasping of disordered parts. PROSAVE: Eco-efficient aircraft systems. GRAND-PA: Assistive technologies for the elderly. He currently participates in ongoing projects including: SEGVAUTO5G-CM (2025–2028): Future mobility innovation. RoboCity2030-DIH-CM (2019–2023): Madrid Robotics Digital Innovation Hub. HYPER: Neuroprosthetic and neurorobotic devices for rehabilitation. He has supervised several theses on topics such as transmission line fault detection , autonomous decision-making in robots , and 3D perception . His research is conducted primarily within the Robotics Lab at UC3M, a multidisciplinary team focusing on advanced robotic systems for industrial, medical, and service applications.

Lisa Grafمشاهده پروفایل

پژوهشگر

• Machine Learning
• Medical Technology
• Robotics
• +۳ مورد دیگر

Lisa Graf is a Ph.D. Student at the Neurorobotics Lab , Albert-Ludwigs-University Freiburg , with a focus on hybrid AI systems for healthcare and robotics. She has served as a Visiting Researcher at Western Sydney University (2024) and actively collaborates with institutions like the Medical Center - University of Freiburg and Mesalvo. B.Sc. and M.Sc. in Mechanical Engineering from Karlsruhe Institute for Technology Her research spans delirium risk mitigation using NLP in nursing reports, reinforcement learning for RoboCup SSL teams, and cardiac surgery data analysis . She has co-supervised 4 Master's projects and contributed to 3 peer-reviewed publications in 2025, including a prize-winning poster. Recent publications highlight her work in Medical AI (2025) RoboCup SSL robotics (2025, 2024) Clinical data validation (2025) Scientific Awards: EFMI Nursing Informatics and LEP AG Switzerland Best Poster Prize (2025)

Paul Marascoمشاهده پروفایل

دانشیار

• Neural-Machine Interfaces
• Prosthetic Sensory Feedback
• Neuroplasticity

Dr. Paul Marasco is an Associate Staff Scientist in the Department of Biomedical Engineering at Cleveland Clinic's Lerner Research Institute. He directs the Laboratory for Bionic Integration, focusing on neural-machine interfaces for prosthetic limbs. His research develops sensory feedback systems that enable amputees to perceive touch and movement through artificial limbs. His work combines neural engineering with cognitive science to create prosthetics that users perceive as natural extensions of their bodies. Recent publications examine the complexity of touch perception and neurorobotic integration of sensory feedback in bionic limbs. He received the Presidential Early Career Award for Scientists and Engineers for his contributions to amputee rehabilitation. Dr. Marasco collaborates internationally on projects funded by NIH, DARPA, and the Veterans Administration. His laboratory develops functional assessment metrics for sensory-motor integration technologies and investigates embodiment mechanisms in prosthetic devices.

Ge Gaoمشاهده پروفایل

پژوهشگر

• 6D Object Pose Estimation
• Cognitive Robotic Vision
• Deep Learning
• +۵ مورد دیگر

Dr. Ge Gao is a researcher at the Department of Informatics, University of Hamburg, affiliated with the CV Research Group. His research focuses on 6D object pose estimation, cognitive robotic vision, and deep learning applications in robotics. He holds a PhD in Informatics from the University of Hamburg, completed in 2021. Education: PhD in Informatics (2021), University of Hamburg. Previously conducted research on occlusion-resistant object pose estimation and saliency-guided segmentation techniques. Research emphasizes robotics perception, point cloud analysis, and multimodal sensor fusion. His work spans applications from robotic grasp planning to gait analysis using dynamic vision sensors. Key contributions include CloudAAE framework for 6D pose regression and saliency-driven supervoxel segmentation. Publications (2015–2021) address challenges in 3D object localization, multimodal data processing, and robotic vision systems. Active in conferences like ICRA, ECCV, and IROS. Labs/Projects: Involved in InteGreatDrones (drone-based robotics), Crossmodal Learning (CML), ahoi digital (crossmodal sensor data collection), and MACS (machine learning applications).

Gordon Chengمشاهده پروفایل

استاد

• Humanoid Robotics
• Neuroengineering
• Artificial Intelligence
• +۴ مورد دیگر

Prof. Gordon Cheng is a Full Professor of Cognitive Systems at the Technical University of Munich (TUM), leading the Chair of Cognitive Systems since 2010. He holds leadership roles in the Center of Competence NeuroEngineering and the Elite Master of Science program in Neuroengineering. His academic journey includes a PhD in Systems Engineering from The Australian National University (2001) and prior roles at institutions like ATR Computational Neuroscience Laboratories (Japan) and Versailles Saint-Quentin-en-Yvelines University (France). Research & Expertise: His work spans Humanoid Robotics, Neuroengineering, and AI, with pioneering contributions to artificial robotic skin, neurorobotics, and medical exoskeleton systems. Notable projects include the Walk Again Project, which developed brain-machine interface exoskeletons for paraplegic patients, and the development of advanced humanoid robots like H1 and iCub. Awards & Recognition: He is an IEEE Fellow (2017), RSJ Fellow (2024), and recipient of the William Mong Distinguished Award (2018). His research has led to 20 patents and over 450 publications, with key contributions in IEEE journals and conferences. Education & Mentorship: Supervised numerous PhD students who now hold academic and industry leadership roles. Active in teaching courses like Neuroengineering and Humanoid Robotics, and coordinates interdisciplinary programs integrating robotics with neuroscience. Current Activities: Leads projects like the ERC STROLL grant and the COMMI BMBF project. Engages in global collaborations, including with Johns Hopkins University and the Edmond and Lily Safra International Institute of Neuroscience.

Gualtiero Piccininiمشاهده پروفایل

استاد

• Philosophy of Mind
• Philosophy of Science
• Computation Theory
• +۳ مورد دیگر

Gualtiero Piccinini is a Curators' Distinguished Professor at the University of Missouri, specializing in philosophy of mind, computation, and cognitive science. His research focuses on the intersection of philosophy, neuroscience, and computational theory, with particular emphasis on neural mechanisms, the nature of computation, and epistemological questions. He holds a PhD in History and Philosophy of Science from the University of Pittsburgh. His work integrates mechanistic philosophy with cognitive neuroscience, addressing topics like neural representation, embodied cognition, and the physical realizability of computational processes. Key research areas include: computational theory of mind, neurocognitive mechanisms, physical computation, and the philosophy of scientific methodology. His influential books include *Neurocognitive Mechanisms* (2020) and *Physical Computation: A Mechanistic Account* (2015). Recent publications explore the 'physical signature of computation,' neurocognitive practicalism, and embodied cognitive computational frameworks. He has received awards like the Scholars Award for Explaining Cognition Mechanistically (2017). Piccinini's work bridges philosophical analysis with empirical sciences, advocating for mechanistic explanations in understanding biological cognition and mental processes.

Jeff Krichmarمشاهده پروفایل

استاد

• Neurorobotics
• Computational neuroscience
• Biologically inspired learning
• +۳ مورد دیگر

Jeffrey Krichmar is Professor in Cognitive Sciences and Computer Science at the University of California, Irvine, where he directs the Cognitive Anteater Robotics Laboratory. His research develops neurorobotic systems that embody principles from neuroscience to create adaptive, intelligent machines. Krichmar investigates how neural architecture influences system function, creating biologically plausible models of learning, memory, and decision-making. His work bridges computational neuroscience with robotics, developing spiking neural networks for navigation, continual learning, and adaptive behavior inspired by biological systems from hippocampus to cephalopod cognition. Current projects include neuromorphic computing toolboxes, vector-based navigation models, and multi-robot coordination strategies. Krichmar's lab evaluates cognitive architectures through robotic platforms like the Toyota HSR, developing neurorobots that demonstrate how neural principles can address real-world challenges in navigation, learning, and human-robot interaction.

Claudio Castelliniمشاهده پروفایل

استاد

• Medical Robotics
• Rehabilitation Robotics
• Human-Machine Interfaces
• +۳ مورد دیگر

Claudio Castellini is a Professor of Medical Robotics at Friedrich-Alexander-University Erlangen-Nürnberg (FAU), leading the Assistive Intelligent Robotics (AIROB) Lab. He holds a dual role as Deputy Dean for Public Relations and Communication in the Faculty of Engineering. His research focuses on rehabilitation robotics, human-machine interfaces, and machine learning applications in biomedical engineering. Castellini obtained his Biomedical Engineering degree from the University of Genoa and a PhD in Artificial Intelligence from the University of Edinburgh. Prior to FAU, he served as a senior researcher and lab leader at the German Aerospace Centre's Institute of Robotics and Mechatronics. His work emphasizes assistive robotic systems for the disabled, including prosthetic control, exoskeletons, and neural interfaces. He has co-authored over 160 scientific papers and leads projects at regional, national, and European levels. Castellini is actively involved in editorial roles for journals like IEEE Transactions on Neuro-engineering and Rehabilitation and serves on the board of the International Consortium of Rehabilitation Robotics (ICORR). His research spans innovation in prosthetic control algorithms, wearable robotics, and clinical applications of robotics in neurorehabilitation. Key publications include advancements in LSTM-based grip strength prediction, impedance-controlled orthoses, and spinal cord-computer interfaces for paralyzed hand control. His lab’s AIROB innovations aim to bridge clinical needs with robotic solutions, emphasizing user-centric design. Castellini’s contributions also include open-source hardware development and collaborations on neurorobotic interfaces, such as ultrasound-based control systems. He actively engages in public outreach and interdisciplinary research, fostering connections between engineering and clinical practice.

• Cognitive Robotics
• Artificial Intelligence
• Biomimetic Systems
• +۷ مورد دیگر

Professor Tony Prescott is a prominent academic in cognitive robotics at the University of Sheffield, leading the School of Computer Science. He is co-founder and former director of Sheffield Robotics and an active member of the Sheffield Neuroscience Institute. His research integrates robotics, AI, psychology, and neuroscience to explore human-technology relationships, societal impacts of emerging technologies, and bioinspired systems like Scratchbot and MiRo-e. He has authored over 240 publications and secured £10M in grants, co-founding companies such as Consequential Robotics and BOW. His work frequently features in media including BBC, Discovery Channel, and CNN. Education: MA Psychology (Edinburgh), MSc Applied AI (Aberdeen), PhD Machine Learning (Sheffield) Research focuses on biomimetic systems, active touch sensing, assistive robotics, and ethical AI. Key achievements include the Scholarpedia of Touch , Living Machines conference co-chair role, and contributions to robotic telepresence. Awards include BPS Fellowship and Sage Centre distinction. He advises on STEM education and chairs the Skills and Education in Robotics and AI network. Publications span cognitive neuroscience, AI, and robotics, with recent emphasis on synthetic self-awareness, tactile perception, and ethical implications of technology. His labs include the Adaptive Behaviour Research Group and Active Touch Laboratory.

Manuel Guerreroمشاهده پروفایل

پژوهشگر

• Bioethics
• Neuroethics
• Research Ethics
• +۷ مورد دیگر

Manuel Guerrero is a Researcher at the Center for Research & Bioethics (CRB) at Uppsala University, Sweden, specializing in the ethical and social dimensions of brain research and neurotechnology development. His work focuses on dual use concerns, human rights implications, and frameworks for responsible research and innovation in neuroscience. His research spans several interconnected domains: Bioethics and Neuroethics - examining ethical challenges in neuroscience and emerging neurotechnologies Responsible Research and Innovation - developing practical frameworks for ethical technology development Human Rights in Scientific Contexts - particularly regarding neurotechnology governance Social Consequences of Technology - analyzing impacts on vulnerable populations Participatory Research Methods - especially in healthcare and long-term care settings Guerrero's scholarly work demonstrates consistent engagement with ethical frameworks for emerging technologies. His publications reveal expertise in applying philosophical concepts to healthcare practice, developing ethical governance for large-scale research initiatives like the Human Brain Project, and addressing specific challenges faced by vulnerable populations including disabled refugee women and older adults in long-term care. His research often bridges theoretical ethical frameworks with practical implementation challenges in real-world settings. Notable contributions include his work on the Chilean Neuroprotection Initiative connecting historical human rights dynamics with contemporary neurotechnology governance, and his pandemic ethics research addressing emergency decision-making frameworks. Guerrero maintains extensive international collaborations across disciplines, reflecting the interdisciplinary nature of neuroethics and responsible innovation. His scholarly contributions appear in high-impact journals including Disability & Society, The Lancet, Science and Engineering Ethics, and Frontiers in Human Neuroscience, demonstrating his significant role in shaping ethical discourse around emerging neurotechnologies and research practices.