جست‌وجوی استاد و پژوهشگر

Julien Cordryمشاهده پروفایل

مدرس ارشد

• Mobile and ubiquitous computing
• Embedded systems
• Security
• +۳ مورد دیگر

Dr. Julien Cordry is a Senior Lecturer in the School of Computing at the University of Teesside, affiliated with the Department of Computing & Games and the Centre for Digital Innovation. He holds a PhD from CNAM in Paris (2009), focusing on smart card performance measurement. His research spans mobile and ubiquitous computing, embedded systems, cybersecurity, and formal methods. Education: PhD in Computer Science, CNAM, Paris (2009) Research Interests: Mobile and ubiquitous computing Security protocols and password policies Embedded systems performance optimization Virtual reality applications in healthcare education Research Trends: Focus on cybersecurity, including password composition policies and privacy-preserving techniques Development of mobile health applications for posture and pain monitoring Pioneering work on Java Card benchmarking tools and embedded systems evaluation Collaborations: Engages in interdisciplinary projects involving health informatics, game development, and neurotechnology through partnerships with institutions like the European Journal of Integrative Medicine and ACM. Labs/Teams: Active in the Centre for Digital Innovation, collaborating on projects blending technology with real-world applications in education, healthcare, and gaming.

Grace Leslieمشاهده پروفایل

دانشیار

• Brain-Music Interfaces
• Physiological Sensor Systems
• Electronic Music Composition
• +۵ مورد دیگر

Grace Leslie is an Associate Professor at the University of Colorado's ATLAS Institute and College of Music. Her work focuses on brain-music interfaces, combining neuroscience, music technology, and biofeedback systems. She holds a PhD in Music and Cognitive Science from UCSD and previously served as an Assistant Professor at Georgia Tech. Her research explores physiological sensors to reveal cognitive and affective states, with projects such as the Brain Music Lab and collaborations with institutions like MIT Media Lab and Dartmouth College. Education: PhD in Music and Cognitive Science (UCSD), Master's and Undergraduate in Music, Science, and Technology (Stanford University). Key Research Areas: Neurological music interfaces, affective computing, EEG-based systems, and music's role in therapy and cognition. Awards: NSF CAREER Award (2022). Publications: Over 20 peer-reviewed articles, including studies on emotional memory modulation and physiological arousal analysis. Projects: Brain-Body Music performance, MoodMixer neurofeedback system, and Gamma-Frequency Audio Neurostimulation for epilepsy therapy.

Sebastian Sattlerمشاهده پروفایل

مدرس

• Cognitive Enhancement
• Public Health Policy
• Social Inequality
• +۳ مورد دیگر

Dr. Sebastian Sattler is a Lecturer in the Faculty of Sociology at Bielefeld University, specializing in sociological research on cognitive enhancement, public health policy, and social inequality. He leads the DFG-funded projects ENHANCE and U-Comply, focusing on cognitive enhancement prevalence and pandemic compliance behaviors. His work integrates quantitative and qualitative methods to address societal challenges. Education: PhD (2013): Bielefeld University, 'Understanding Deviant Behavior: Theoretical Foundations and Empirical Analyses' (summa cum laude) Master's (2006): University of Leipzig, 'Plagiarism in Student Papers: Rational Choice Theory Models' (1.0 grade) Research Interests: Cognitive enhancement drug use, neurotechnology ethics, pandemic behavior, and social inequality. Current projects explore disparities in neurotechnology knowledge and military applications of human augmentation. Key Article Themes: His recent work analyzes psychedelic use demographics, public attitudes toward neurotechnology, and pandemic-related behavioral changes. Methodologically, he focuses on scaling self-control and validating health belief models. Awards: Summa Cum Laude PhD, Bielefeld University Outstanding Thesis Prize, German Society of Sociology Advising & Grants: Project manager for DFG ENHANCE (cognitive enhancement) and U-Comply (pandemic compliance). Research consultant for The Duke Endowment's LYGHT Program. Associated with the Pragmatic Health Ethics Research Unit in Montreal. Labs & Teams: Part of the Center for Uncertainty Studies (CeUS) and the Social Structure and Social Inequality department at Bielefeld University.

• Biomedical Engineering
• Biomedical Signal Processing
• Rehabilitation Engineering
• +۵ مورد دیگر

Maurizio Schmid is a Professor of Biomedical Engineering and Director of the BioLab³ Biomedical Engineering Laboratory at Roma Tre University in Rome, Italy. He holds a MSc in Electrical Engineering from Sapienza University of Rome (2000) and a PhD in Biomedical Engineering from the University of Bologna (2004). His research focuses on biomedical signal processing, rehabilitation engineering, and wearable systems for physical activity monitoring, with emphasis on human movement analysis and data mining integration. His career includes roles as a research associate at Roma Tre University (2004–2006) and Harvard Medical School (2006–2008). He coordinates the PhD program in Applied Electronics at Roma Tre University and serves on editorial boards for Electronics , Frontiers in Computational Physiology and Medicine , and JMIR Serious Games . He is a member of IEEE, EMBS, and GNB. Key research areas include postural stability, human-robot collaboration, and biomedical device quality control. He has led projects funded by the EU, MIUR, and national programs, such as the TREMOR BCI-driven tremor suppression system (2008–2011). His work spans over 70 peer-reviewed articles, with recent contributions in wearable sensor systems, gait analysis, and energy harvesting for biomedical applications. His grants and collaborations include studies on stroke rehabilitation, Duchenne muscular dystrophy progression, and pandemic-related public health strategies. He advises on biomedical equipment maintenance and chairs academic boards in engineering and cognitive psychology.

Walter G. Besioمشاهده پروفایل

استاد

• Neural Engineering
• Neuro Instrumentation
• Brain Computer Interfacing
• +۴ مورد دیگر

Walter G. Besio is a Professor in the Department of Electrical, Computer, and Biomedical Engineering at the University of Rhode Island. He holds a Ph.D. in Biomedical Engineering (University of Miami, 2002), M.S. in Biomedical Engineering (University of Miami, 1997), and B.S. in Electrical Engineering (University of Central Florida, 1993). His research focuses on neural engineering, neuroinstrumentation, and brain-computer interfaces, with a strong emphasis on epilepsy treatment, EEG advancements, and transcranial stimulation technologies. Ph.D., Biomedical Engineering, University of Miami, 2002 M.S., Biomedical Engineering, University of Miami, 1997 B.S., Electrical Engineering, University of Central Florida, 1993 His work integrates neurotechnology, biomedical signal processing, and medical device design. Key contributions include developing tripolar concentric ring electrodes for improved EEG spatial resolution and transcranial focal stimulation (TFS) for epilepsy management. His research spans animal models, clinical applications, and interdisciplinary collaborations. Recent grants include NIH-funded projects on epilepsy seizure detection and NSF initiatives on brain imaging tools and STEM education. He has secured multiple patents for biomedical electrode systems and neurotechnology innovations. His publications emphasize advancing BCI systems, neuropharmacology, and neuromodulation strategies. Besio’s lab focuses on translating engineering solutions into clinical applications, with a particular interest in wearable neuroimaging and noise-canceling sensors. His work bridges electrical engineering, neuroscience, and clinical practice, addressing unmet needs in neurological diagnostics and therapy.

Massoud Khodadadzadehمشاهده پروفایل

مدرس

• Artificial Intelligence
• Machine Learning
• Deep Learning
• +۳ مورد دیگر

Dr. Massoud Khodadadzadeh is a Lecturer in Computer Science at the University of Bedfordshire's School of Computer Science and Technology. He holds a PhD in Computer Science from Ulster University and previously conducted research at University of Bath's Bath Institute for the Augmented Human. His expertise spans artificial intelligence, machine learning, and brain-computer interfaces. Research focuses on developing capsule neural networks for applications including: Infant movement analysis and developmental studies EEG-based imagined speech classification Hyperspectral image processing for remote sensing Motor imagery BCIs for neurorehabilitation Publications demonstrate interdisciplinary approaches combining deep learning with neuroscience and environmental monitoring. Recent work includes infant-environment interaction studies using 2D capsule networks and Cybathlon competition frameworks for assistive technology development. He coordinates the MSc in Artificial Intelligence program and serves as MUC-Oman link coordinator while reviewing for IEEE journals. PhD candidates are welcomed in his machine learning research areas.

• Robotics
• Autonomous Systems
• Control Systems
• +۵ مورد دیگر

Jonay Tomás Toledo Carrillo is a Full Professor at the University of La Laguna, affiliated with the Department of Computer Science and Systems Engineering within the School of Computer Science and Systems Engineering. He leads the GRULL (Robotics Group of the University of La Laguna), focusing on robotics, control systems, and autonomous systems. He earned his PhD in 2008 with a thesis on nonlinear control strategies for quadrotor helicopters, advised by Dr. Leopoldo Acosta Sánchez. His research interests span robotics, autonomous navigation, sensor fusion, and assistive technologies. Key projects include developing mobility aids for visually impaired individuals and enhancing localization systems through adaptive algorithms. Recent work emphasizes real-time sensor processing (e.g., LSTM networks for odometry), magnetic field control for accessibility, and Kalman filter variants for multi-sensor integration. Publications highlight contributions to robotics applications, including autonomous vehicles, wheelchair navigation, and BCI systems. His work bridges theoretical control methods with practical implementations in unstructured environments. Collaborations include interdisciplinary efforts in computer vision, ontology-based navigation, and educational simulators like MNEME for memory hierarchy teaching. Dr. Toledo Carrillo’s research aligns with the university’s engineering and automation priorities, with a focus on real-world impact through low-cost, high-precision solutions. His team’s innovations address challenges in both robotics engineering and accessibility technologies.

Charles Rathkopfمشاهده پروفایل

پژوهشگر

• Philosophy of Neuroscience
• Philosophy of AI
• Philosophy of Mind
• +۱ مورد دیگر

Dr. Charles Rathkopf is a Permanent Research Associate at Forschungszentrum Jülich’s Institute of Neuroscience and Medicine, focusing on philosophical foundations of neuroscience, AI, and complex systems. His publications critically examine AI ethics, neuroimaging limitations, and epistemic challenges in scientific modeling. Recent work addresses hallucination in generative AI and anthropocentric biases in cognition studies.

Simon Musallمشاهده پروفایل

استادیار

• Neural Network Function
• Decision-making
• Multisensory Processing
• +۳ مورد دیگر

Prof. Simon Musall is an Assistant Professor of Neuromodulation at RWTH Aachen University and Head of the in-vivo Neurophysiology Lab at Forschungszentrum Jülich. His research focuses on understanding how multisensory information is integrated in neural networks to guide behavior, particularly in mice performing cognitive tasks. He employs advanced techniques like high-density electrophysiology and functional imaging to study cortical networks, pathway-specific information transfer, and neuromodulation effects. Key research interests include neural network function, decision-making mechanisms, and neuromodulation's role in information processing. His lab develops cutting-edge neurotechnology, such as flexible neural probes and organic neurohybrid systems, to advance in vivo recordings and closed-loop control. Collaborative projects integrate computational neuroscience with experimental approaches to dissect cortical circuit dynamics and their behavioral correlates. Recent work highlights contributions to spike sorting algorithms (UnitRefine), network dynamics modeling (Riemannian multi-scale decomposition), and enzyme-mediated neurohybrid interfaces. His interdisciplinary approach bridges basic neuroscience with translational tools for studying neurodevelopmental and psychiatric conditions.

• Neurophysiology
• Neural Oscillations
• Heart-Brain Interactions
• +۴ مورد دیگر

Dr. Vadim Nikulin is a Research Professor and Group Leader at the Department of Neurology, Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. His research focuses on neural interactions and heart-brain dynamics, with leadership in two key groups: 'Neural interactions and dynamics' and 'Heart-Brain Interactions.' He previously held roles as Principal Investigator at Charité - Universitätsmedizin Berlin and conducted post-doctoral research across institutions in Finland, Sweden, and Russia. Education: PhD in Neuroscience from the University of Helsinki (2001) with a thesis on magnetoencephalographic studies of sensorimotor systems. Master's from St. Petersburg State University (1994). Research interests include neural oscillations, cardio-cerebral interactions, motor system plasticity, and neuroimaging techniques (EEG/MEG/TMS). Recent work explores how cardiac signals influence motor preparation, interoceptive processing, and decision-making, with a focus on translational applications in Parkinson’s disease and mental health. Publications emphasize methodological advancements in electrophysiology, including heartbeat-evoked potential validation and neural oscillation dynamics. His lab integrates computational neuroscience with clinical research, advancing understanding of brain rhythms in health and disease. No scientific awards are explicitly listed; however, his sustained leadership in high-impact research groups indicates significant academic recognition. Students/advising details are not provided in available texts. Labs/Teams: Leads the Neural Interactions and Dynamics Group and Heart-Brain Interactions Group at MPI. Collaborates internationally across neurology, physics, and computational neuroscience disciplines.

Jan Mehnertمشاهده پروفایل

پژوهشگر

• Neuroscience
• Systems Neuroscience
• Brain-Computer Interfaces
• +۳ مورد دیگر

Jan Mehnert is a Postdoc researcher at the Institute of Systems Neuroscience , part of the Center for Experimental Medicine within the University of Hamburg's Faculty of Medicine. His work focuses on systems neuroscience and neurotechnology, particularly involving brain-computer interfaces and human neuroscience research. Dr. Mehnert has received notable awards including the 2014 Young Investigator Award for a German-Turkish collaboration and an IBRO grant. His research emphasizes neural signal processing and interdisciplinary approaches to neuroscience. Key Achievements: Recipient of 2014 InEurope Grant (IBRO) and Berlin Institute of Technology scholarship for BCI research Collaborated with institutions in Brazil and Turkey Active in human brain mapping and neural interface development He holds a PhD supported by the Max Planck Society and maintains affiliations with the University Medical Center Hamburg-Eppendorf (UKE).

Birgit Nierulaمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Emotion Recognition
• Electrophysiology
• +۴ مورد دیگر

Birgit Nierula is a Researcher at the Fraunhofer HHI within the Interactive & Cognitive Systems Group , part of the Vision and Imaging Technologies department. Her work focuses on human-computer interaction, emotion recognition, electrophysiology, and brain-machine interfaces. She explores non-invasive electrophysiological methods to study spinal cord activity, somatosensory processing, and neural dynamics across the central nervous system. Her research also delves into the psychological and physiological aspects of agency, responsibility, and pain perception in virtual environments and neurorehabilitation contexts. Her research interests include: Development of brain-computer interface (BCI) paradigms for movement control and neurorehabilitation Analysis of somatosensory and cardiac signals through electrophysiological techniques Investigation of body ownership and agency in immersive virtual reality (VR) environments Impact of expectation and sensory modulation on pain perception and neural responses Her publications emphasize methodological advancements in artifact removal for spinal-cord electrophysiology and interdisciplinary research at the intersection of neuroscience, biomedical engineering, and human-computer interaction. Current projects address the ethical and perceptual implications of BCI technologies and the translation of neurophysiological insights into clinical applications.

• Medical Engineering
• Biomedical Engineering
• Lasers and Optics
• +۷ مورد دیگر

Anna Luiza Barszczak Sardinha Letournel is a Researcher at the University of Lisbon's Institute of Biophysics and Biomedical Engineering and an Invited Assistant Professor at the Polytechnic Institute of Setúbal. She holds a PhD in Fundamental Physics (Lasers and Optics) from the Polytechnic School of France and an Integrated Master's in Biomedical Engineering from NOVA University of Lisbon. Her research focuses on neuroadaptive systems, biomedical engineering, and medical imaging, with recent work on virtual reality-based therapies and wearable sensor applications in biomechanics. She leads the 'Digital Health and Technological Innovation' Research Group at CIIAS and contributes to projects like Neuroadaptive Systems for Brain Restoration (NEURO-CONNECT STIM). She has authored over 20 publications, including high-impact studies on femtosecond spectroscopy, neuroimaging, and post-stroke recovery. Her teaching roles include courses on Biomechanics, Medical Imaging, and Nanotechnologies in Biomedicine at the Polytechnic Institute of Setúbal. Proficient in multiple languages (Portuguese, French, English, Polish, Italian), she actively participates in academic committees, thesis evaluations, and international conferences.

Francesco De Paceمشاهده پروفایل

پژوهشگر

• Augmented Reality
• Virtual Reality
• Human-Robot Interaction
• +۵ مورد دیگر

Francesco De Pace is a PostDoc Researcher at the Institute of Visual Computing and Human-Centered Technology within the Faculty of Informatics at Vienna University of Technology (TU Wien). His research focuses on the intersection of augmented reality, virtual reality, and human-robot interaction, with particular emphasis on developing innovative interfaces for industrial applications. Dr. De Pace's research spans several key areas in immersive technologies and human-computer interaction. His primary interests include Augmented Reality (AR) and Virtual Reality (VR) systems, Human-Robot Interaction (HRI), Brain-Computer Interfaces (BCIs), and advanced tracking and localization techniques. He has made significant contributions to the development of AR/VR interfaces for industrial robots, outdoor tracking with Real-Time Kinematic GPS, and SLAM (Simultaneous Localization and Mapping) systems. His work bridges theoretical research with practical industrial applications, focusing on creating more intuitive and effective human-machine interfaces. Dr. De Pace's recent publications demonstrate a clear trajectory toward enhancing human-robot collaboration through immersive technologies. His research shows increasing sophistication in integrating multiple modalities (visual, spatial, and neural) to create more natural interaction paradigms. A notable trend is the application of AR/VR to industrial settings, particularly for assembly tasks, path planning, and training scenarios. His systematic evaluation of RTK-GPS for wearable AR represents important foundational work for outdoor AR applications, addressing critical challenges in positional accuracy across different environmental conditions. While specific awards are not prominently documented in the available information, Dr. De Pace's research has been supported by significant funding mechanisms, including grants from the Austrian Research Promotion Agency (FFG) under Grant Agreement No FO999886342 KIRAS MRespond, indicating recognition of the importance and potential impact of his work. Dr. De Pace appears to be actively involved in multiple research projects, including PostDisaster and MRespond as indicated in his profile. His collaborative approach is evident through his extensive co-authorship with researchers across institutions. While specific student advising information isn't detailed in the available materials, his role as a PostDoc Researcher likely involves mentoring junior researchers and contributing to the academic development of students working on related projects. Dr. De Pace is associated with the Mixed Reality Lab at TU Wien, as indicated in the website navigation. His research appears to be conducted within collaborative frameworks that include both academic and industry partners. His work on the MRespond project suggests engagement with emergency response applications of mixed reality technologies, indicating interdisciplinary team involvement spanning computer science, engineering, and potentially public safety domains.

• Non-invasive brain stimulation
• Transcranial electrical stimulation
• Electroencephalography (EEG)
• +۳ مورد دیگر

Jake Toth is a Postdoctoral Research Fellow at the University of Oxford's Institute of Biomedical Engineering, specializing in non-invasive brain stimulation and brain-computer interfaces. He holds a PhD from the University of Sheffield, where his research focused on transcranial electrical stimulation (TES) and electroencephalography (EEG). His current work at Oxford explores transcranial ultrasound stimulation for modulating human brain activity as part of the BUBBL research group. Education: BEng (Bachelor of Engineering) MSc (Master of Science) PhD in Biomedical Engineering His research interests include developing standardized TES protocols, investigating vigilant attention mechanisms, and advancing brain-machine interface technologies. He has contributed to projects involving EEG-based navigation systems and classification algorithms for cognitive tasks. Recent work emphasizes translational applications of neurostimulation techniques in clinical and robotic contexts. Key Contributions: Pioneering EEG feedback systems for robot navigation Advancing Bayesian learning methods in neural data analysis Exploring ethical and technical challenges in non-invasive brain stimulation His work bridges clinical neuroscience, biomedical engineering, and robotics, with applications in personalized cognitive enhancement and human-machine collaboration.