جست‌وجوی استاد و پژوهشگر

Yuan Yangمشاهده پروفایل

دانشیار

• Neural engineering
• Biomedical imaging
• Physiological systems
• +۴ مورد دیگر

Yuan Yang is an Associate Professor at the University of Illinois Urbana-Champaign (UIUC) in the Department of Bioengineering and an adjunct Associate Professor at Northwestern University's Feinberg School of Medicine. He also holds a part-time role as Associate Professor at Carle Foundation Hospital. His research focuses on neural engineering, neurorehabilitation, and biomedical imaging, particularly in stroke recovery and Alzheimer's disease biomarkers. Yang leads the Illinois-Carle Joint Neural Engineering and Rehabilitation Laboratory (JNERL), collaborating on innovative solutions for neurological conditions using advanced imaging and neurotechnology. Education: PhD in Signal and Images from Telecom ParisTech (2013), MS in Biomedical Engineering from Shanghai Jiao Tong University (2010), and BS from Central South University (2008). He has held faculty positions at UIUC, the University of Oklahoma, and Northwestern University since 2017. Research interests include cortical connectivity, non-invasive brain stimulation (e.g., HD-tDCS), functional MRI analysis, and electrophysiological signal processing. His work bridges engineering and clinical applications, addressing motor impairment in stroke and cognitive decline in Alzheimer's. Key contributions include studies on sex differences in brain connectivity and neuroplasticity, as well as developing targeted interventions using EEG and neuroimaging. Yang has received prestigious awards such as the NSF CAREER Award and serves as an IEEE Distinguished Lecturer. Professional service includes roles in grant review for NIH, AHA, and international bodies, along with editorial positions in major journals like Frontiers in Neuroscience and Medical & Biological Engineering & Computing.

Lee Millerمشاهده پروفایل

استاد

• Motor Control
• Neural Networks
• Brain-Machine Interfaces
• +۳ مورد دیگر

Lee Miller is a Professor of Physiology, Physical Medicine & Rehabilitation, and Biomedical Engineering at the University of Chicago. His research focuses on understanding how the brain encodes movement commands through neural signals, with applications in developing brain-machine interfaces (BMIs) to restore motor function in paralyzed patients. His work integrates neuroscience, engineering, and computational methods to study neural networks in motor systems. Key research areas include decoding cortical signals to predict muscle activity, developing closed-loop BMIs, and investigating functional connectivity in neural circuits. Miller collaborates extensively with the Biomedical Engineering Department and the Interdepartmental Neuroscience Program (NUIN). His lab combines experimental approaches (e.g., chronic neural recordings) with computational tools to study neural dynamics and develop therapeutic technologies. Recent work emphasizes restoring hand function via cortically controlled functional electrical stimulation (FES), translating neural signals into muscle activation. His publications span neural decoding algorithms, sensory feedback systems, and the neurobiology of motor control. Miller’s contributions bridge fundamental neuroscience and clinical neuroengineering, with potential impacts on spinal cord injury rehabilitation and prosthetic control systems.

Peter Desainمشاهده پروفایل

استاد

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

Peter Desain is a Professor and Principal Investigator at the Donders Institute for Brain, Cognition and Behaviour, Radboud University. His work focuses on developing advanced brain-computer interfaces (BCI) leveraging evoked potentials, particularly through code-modulated visual and auditory stimuli. He pioneers methods like noise-tagging and Bayesian dynamic stopping to enhance BCI efficiency and accessibility. His research spans neurotechnology, electrophysiological modeling, and clinical applications such as objective EEG audiometry and ALS communication aids. Recent studies emphasize gaze-independent systems, semantic decoding, and minimizing BCI calibration requirements. Key contributions include optimizing c-VEP code-books, real-time fMRI neurofeedback for memory contexts, and literature reviews on BCI design trends. Experimental pilot studies explore auditory attention and high-frequency SSVEP dynamics. No scientific awards are explicitly mentioned. His work integrates multidisciplinary approaches, bridging neuroscience, machine learning, and engineering to advance human-computer interaction and clinical tools.

• Human-Machine Interaction
• Neuroergonomics
• Physiological Computing
• +۳ مورد دیگر

Raphaëlle N. Roy is a Professor at ISAE-SUPAERO, part of the University of Toulouse, France. Her academic career spans multiple institutions, including the Gipsa-Lab in Grenoble and the University of British Columbia. She specializes in Neuroergonomics and Physiological Computing, focusing on Human-Machine Interaction in aerospace contexts. PhD in Cognitive Neuroscience & Signal Processing, Université Grenoble Alpes/CEA-Leti (2015) Habilitation à Diriger des Recherches (HDR), Université de Toulouse (2022) Certified Lecturer in Neuroscience (2016) Her research interests include Neuroergonomics , Brain-Computer Interfaces , and Neuroadaptive Technology , with applications in aerospace systems. She leads the Neuroergonomics and Human Factors research group and coordinates the Certificate in Human Factors & Neuroergonomics for Aeronautics and Transportation . Roy has organized major conferences like the International Neuroergonomics Conference (Paris 2016, Munich 2021, Bordeaux 2024) and co-founded the French BCI association CORTICO , serving as Vice-President since 2023. She is an Associate Editor for Frontiers in Neuroergonomics and has reviewed for over 30 journals and conferences, including NeurIPS and IEEE Transactions. Ministerial fellowship for PhD thesis She supervises PhD and Master’s students, including Mathias Rihet , Elena López-Contreras González , and Pauline Dreyer , and collaborates with institutions like INRIA, TU Delft Robotics Institute, and LAAS-CNRS. Her work is supported by ANR, ESA, and CNES grants, including the EPIIC project (ANR).

Peng Wangمشاهده پروفایل

استاد مهمان

• Mental Health
• Emotion Dynamics
• Child and Adolescent Development
• +۳ مورد دیگر

Peng Wang is a Visiting Professor at the Department of Philosophy of the Sciences within the Faculty of Humanities at Vrije Universiteit Amsterdam. His academic qualifications include a PhD in Language and Emotion from VU University Amsterdam, and advanced studies in Linguistics, Education Research, and Public Health Statistics from Missouri State University, the University of Edinburgh, and the University of Oxford. His research focuses on interdisciplinary topics such as mental health interventions, emotion dynamics in education, neurodiversity advocacy, and healthcare communication. Key areas include transdiagnostic mental health approaches, ecological momentary assessment frameworks, and the integration of AI with neurotechnological research. Recent publications explore innovative methods for mental health monitoring (e.g., trimodal emotion assessment systems), universal school-based interventions for children, and the neuroethical implications of neurodiversity research. His work bridges philosophy of science with applied research in healthcare and education systems. No formal awards are listed, though his research has garnered attention across multiple platforms including Mendeley and Bluesky. Collaborations span global institutions with a focus on child mental health and healthcare professional wellbeing.

Tamer Ölmezمشاهده پروفایل

استاد

• Biomedical Signal Processing
• Brain-Computer Interfaces
• Deep Learning
• +۷ مورد دیگر

Tamer Ölmez is a Professor in the Department of Electronics and Communication Engineering at Istanbul Technical University (ITU), College of Engineering, where he conducts cutting-edge research in biomedical signal processing, brain-computer interfaces (BCI), and deep learning applications in medical systems. His work bridges engineering and neuroscience, with a strong focus on EEG-based motor imagery classification, medical image analysis, and embedded deep learning systems. His research interests include motor imagery EEG signal processing , brain-computer interfaces , feature extraction , deep neural networks , classification algorithms , and medical image analysis . He applies machine learning and signal processing techniques to improve diagnostic accuracy and system performance in neuroengineering and healthcare technologies. The recent publications highlight a consistent trend in leveraging divergence-based deep neural networks , convolutional neural networks , and small-sized models for efficient and accurate classification in BCI and medical imaging. His work emphasizes performance improvement with reduced channel counts, noise elimination, and real-time applicability in embedded systems. Scientific Awards: Excellent Oral Presentation Certificate, June 1, 2015 Advising and Grants: He is actively supervising 26 theses in progress, indicating a strong mentoring role. He has led multiple funded research projects, including those funded by ITU’s Technology Transfer Office (TTO) and Scientific Research Projects (BAP), such as 'Classification of Medical Images with Deep Learning Method in Embedded Systems' and 'New Approaches to Finding Optimal Protein Folding'. Labs and Research Teams: While specific lab names are not mentioned, his collaborative fingerprint and project leadership suggest he leads or is a key member of a research group focused on biomedical signal processing, neural networks, and intelligent systems at ITU.

Stephen Raineyمشاهده پروفایل

مدرس

• Philosophy of Mind
• Philosophy of Language
• Neurotechnology
• +۳ مورد دیگر

Stephen Rainey is a Lecturer and Researcher at Delft University of Technology, affiliated with the 4TU.Ethics research group. His work bridges philosophy, neurotechnology, and ethical governance, focusing on the implications of brain-computer interfaces (BCIs) and neurodata for human identity and rights. He has contributed to European research projects since 2011, particularly in neurotechnology ethics and responsible innovation. His research interests include: Philosophy of mind and language, influenced by Austin, Grice, and Brandom Neurotechnology and its ethical, legal, and societal impacts Theory of governance and responsible research practices Recent publications address neurorights, neuroprosthetic speech, mind-reading technologies, and data governance challenges. His work emphasizes interdisciplinary engagement, combining neuroscience, AI, and political philosophy to analyze human-technology interactions in clinical and societal contexts.

• Intelligent Systems and Control
• Cognitive Robotics
• Nano-robotics
• +۹ مورد دیگر

Laxmidhar Behera is a Professor in the Department of Electrical Engineering at the Indian Institute of Technology Kanpur, specializing in Intelligent Systems and Control. With over two decades of academic experience at IIT Kanpur and international research experience at institutions including Fraunhofer Institute of Autonomous Intelligent Systems in Germany, ETH Zurich, and University of Ulster, he has established himself as a leading researcher in cognitive robotics and intelligent control systems. Dr. Behera's research spans multiple cutting-edge domains including Cognitive Robotics, Nano-robotics, Vision based Control, Soft Computing, Information Retrieval in music and language, Semantic Information Processing, Physics of Complex Systems, Cyber Physical Systems, Formation Control of UAVs, Brain-Computer Interface (BCI), and Sanskrit Computational Linguistics. His interdisciplinary approach bridges traditional control theory with modern computational intelligence techniques, creating innovative solutions for complex real-world problems. His extensive publication record in top-tier journals like IEEE Transactions demonstrates his leadership in areas such as brain-computer interfaces, visual servoing, multi-robot systems, and music information retrieval. Notably, his work on quantum neural networks for EEG filtering and multisatellite formation control has received significant attention in the research community. UKIERI Standard Research Award 2008 Best Paper at International Conf. on Intelligent Sensors and Information Processing (ICISIP-2004) Best Paper at WoSco,02, Int. Conf. High-Performance Computing (HiPC, 2002) AICTE career award for young teacher (1997) Senior Member IEEE Multiple IEEE top accessed articles (2009-2010) As an Associate Editor for Autosoft Journal and Technical Committee Member for Intelligent Control at IEEE Control System Society, Dr. Behera actively contributes to the academic community. His laboratory in the Western Lab - 212A of the Department of Electrical Engineering serves as a hub for research in intelligent systems, where he mentors students and collaborates with researchers worldwide on cutting-edge projects in robotics, control systems, and computational intelligence.

Youngmoo Kimمشاهده پروفایل

استاد

• Machine Learning
• Audio Signal Processing
• Human-Computer Interaction
• +۵ مورد دیگر

Youngmoo Kim is Professor of Electrical and Computer Engineering at Drexel University, where he directs the Expressive and Creative Interactive Technologies (ExCITe) Center. His leadership extends to the Music & Entertainment Technology Laboratory (MET-lab), focusing on machine listening, robotics for expressive interaction, and STEM education through music technology. Education: PhD, Media Arts & Sciences, MIT (2003) MS, Electrical Engineering, Stanford University MA, Music, Stanford University BS, Engineering, Swarthmore College BA, Music, Swarthmore College Research Focus: Kim's interdisciplinary work bridges audio signal processing, machine learning for music information retrieval, human-robot interaction, and acoustic synthesis. His lab develops novel interfaces including brain-controlled robotics, augmented instruments, and AI-driven music systems, while championing K-12 STEAM education through technological innovation. Publication Trends: Recent articles demonstrate strong convergence of deep learning with music technology, particularly in neural audio synthesis, instrument recognition, and robotic control systems. Emerging themes include differentiable physical modeling of instruments, neuroadaptive interfaces using fNIRS/tDCS, and computational approaches to creative collaboration. Awards & Honors: 2021 College of Engineering Inclusive Excellence Award 2013 Apple Distinguished Educator 2012 Lindback Foundation Distinguished Teaching Award 2012 Philadelphia Geek Awards Scientist of the Year 2007 NSF CAREER Award Leadership & Funding: Kim has secured research support from the National Science Foundation and Knight Foundation. His ExCITe Center serves as an interdisciplinary hub for creative technology development, while MET-lab advances audio-machine intelligence through collaborations across engineering, computer science, and performing arts.

• Virtual Reality
• Augmented Reality
• Human-Computer Interaction
• +۳ مورد دیگر

Matteo Bosco is a PreDoc Researcher at the Department of Software Technology and Interactive Systems, TU Wien, within the Virtual and Augmented Reality group. His work focuses on advancing human-computer interaction in immersive environments, particularly through conversational agents, neurotechnology integration, and circular economy frameworks. He contributes to the Circular Twin research project, addressing sustainable building design through digital twins and generative algorithms. Education & Roles: PreDoc Researcher (PhD candidate) at TU Wien Research Interests: His primary areas include: VR/AR interfaces enhanced by large language models BCI-driven human-robot interaction systems Procedural building design using conversational AI Sustainable architecture via circular twin frameworks He explores how immersive technologies can bridge human-centric design with computational efficiency, emphasizing accessibility and environmental sustainability. Key Projects: Circular Twin (2022–2025): Developing digital ecosystems for circular buildings using BIM and VR. Neurotag Visualization Media: Comparing AR/VR/monitor-based BCI interfaces. Labs & Teams: Active in the Mixed Reality Lab and collaborates with the Virtual Meeting Room initiative at TU Wien.

Sara Goeringمشاهده پروفایل

استاد

• Bioethics
• Neuroethics
• Feminist Philosophy
• +۶ مورد دیگر

Sara Goering is a Professor and Chair of the Department of Philosophy at the University of Washington, affiliated with the College of Arts & Sciences. She holds additional roles as Core Faculty in the Program on Ethics and the Disability Studies Program, and is an Adjunct Professor in the Department of Bioethics and Humanities. Her research focuses on bioethics, neuroethics, feminist philosophy, and the ethical implications of neurotechnology. Goering co-leads the ethics thrust at the UW Center for Neurotechnology and directs the UW Center for Philosophy for Children. She has held leadership positions such as Graduate Program Coordinator and has contributed to interdisciplinary initiatives in ethics and disability studies. Her education includes a Ph.D. in Philosophy from the University of Colorado, Boulder (1998) and a B.S. in Psychology from the University of Illinois, Urbana-Champaign (1989). Her work bridges philosophy with practical applications, including collaborations with neuroscientists, engineers, and clinicians to address ethical challenges in emerging technologies. Key research areas include neurotechnology ethics—particularly deep brain stimulation (DBS) and brain-computer interfaces (BCI)—disability justice, feminist approaches to science, and philosophy for children. Recent publications explore agency in neurotechnology users, ethical frameworks for emerging technologies, and justice in healthcare access. Goering has secured significant grants (e.g., NIH R01, NSF ER2) to advance neuroethics research and equitable science practices. Awards include the Gerler Faculty Fellowship (2016-2018) supporting her work on philosophy for children. She advises numerous graduate students in philosophy, bioethics, and interdisciplinary fields. Goering’s service includes leadership roles in academic governance, diversity initiatives, and national ethics committees, reflecting her commitment to ethical, inclusive scholarship.

Christopher Collinsمشاهده پروفایل

استاد

• Information Visualization
• Human-Computer Interaction
• Pen+Touch Interface Design
• +۷ مورد دیگر

Dr. Christopher Collins is a Professor of Computer Science at Ontario Tech University, leading the Visualization for Information Analysis Lab (vialab). He holds a PhD from the University of Toronto (2010) and focuses on interdisciplinary research in information visualization, human-computer interaction, and natural language processing. His work addresses challenges in information overload, text analytics, and novel interfaces such as touch, pen, VR/AR. Collins' research has been featured in top-tier venues like ACM CHI and IEEE Transactions on Visualization and Computer Graphics, earning honorable mentions and over $3M in funding as sole PI. He serves on the IEEE VIS Executive Committee and Board of Governors at Ontario Tech University. Education: PhD in Computer Science, University of Toronto (2010) MSc in Computer Science, University of Toronto (2004) BSc (Hons) in Computer Science, Memorial University (2001) Research Interests: Collins' work spans information visualization , pen+touch interfaces , visual analytics , and text-driven systems . He explores how interactive technologies can democratize complex data analysis, particularly in education, healthcare, and creative domains. Recent projects include gaze-driven learning tools, context-aware camera interfaces, and bias-mitigating product review analysis. Awards: ACM CHI Honorable Mention Award IEEE VIS Honorable Mention Award Grants & Impact: Secured $3M+ in research funding. Media coverage includes New York Times and CBS Sunday Morning for innovations in visualization and text analytics. Teaches courses in human-computer interaction, computer graphics, and information visualization. Labs & Collaborations: vialab develops tools like Lexichrome , ConToVi , and NeuroSight . Active in IEEE Visualization and ACM Interactive Media communities. Collaborates with academia and industry globally.

Gordon Chengمشاهده پروفایل

استاد

• Neuroengineering
• Robotics
• NeuroRobotics
• +۱ مورد دیگر

Professor Gordon Cheng is a faculty member at the Technical University of Munich (TUM), affiliated with the School of Computation, Information and Technology (CIT). He serves as the Director of the Chair of Cognitive Systems at the Institute for Cognitive Systems (ICS), where he focuses on advancing cognitive systems, robotics, and their intersections. His research addresses fundamental challenges in creating intelligent systems capable of understanding and interacting with complex environments. Research Interests: His work spans Neuroengineering , Robotics , and Cognitive Systems , emphasizing the integration of biological principles into artificial systems. Key projects include robot skin development , EEG-based prosthetic control , and human-robot co-adaptation . Selected Publications: Recent articles highlight advancements in real-time tactile sensing , neuroprosthetics , and BCI-driven rehabilitation , reflecting his interdisciplinary approach bridging robotics and neuroscience. Supervision: He supervises PhD students from the Graduate School of Neuroscience (GSN), including Jasmin Kajopoulos and Nikolas Berberich. Contact: Email: gordon@tum.de | Website

Shaul Druckmannمشاهده پروفایل

دانشیار

• Neuroscience
• Computational Biology
• Neural Circuits
• +۷ مورد دیگر

Shaul Druckmann is an Associate Professor at Stanford University in the departments of Neurobiology, Psychiatry and Behavioral Sciences, and by courtesy in Electrical Engineering. He is affiliated with Stanford Bio-X and the Wu Tsai Neurosciences Institute. Key Research Areas: Neural circuit dynamics, computational neuroscience, sensory-motor integration, and brain-wide information representation. Academic Roles: Advisor, mentor, and instructor for graduate and doctoral programs at Stanford. His work combines theoretical modeling, in vivo imaging , and genetic dissection to uncover how neural circuits process information and generate behavior. Recent trends in his research emphasize cross-species comparative analysis (Drosophila, rodents, C. elegans) and interdisciplinary applications in neuroprosthetics. 2023-2024 Awards: Award for Excellence in Graduate Teaching, Stanford University McKnight Scholar, McKnight Foundation Sloan Research Fellow, Sloan Foundation Advising & Teaching: Dr. Druckmann mentors doctoral students across Neurobiology, Psychiatry, and Applied Physics. He teaches foundational courses like Introduction to Mathematical Tools in Neuroscience and Neuroscience Computational Core , while supervising independent studies in bioengineering and physics. Laboratory: The Druckmann Lab at Stanford employs advanced imaging , computational modeling , and connectome analysis to bridge theoretical neuroscience with applications in medical devices and cognitive frameworks.

Monica Fabianiمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Human Memory
• Aging
• +۵ مورد دیگر

Monica Fabiani is a Professor at the University of Illinois Urbana-Champaign, affiliated with the Neuroscience Program and the Beckman Institute for Advanced Science and Technology. She holds academic roles in Psychology and Neuroscience. Her research focuses on cognitive neuroscience of human memory and aging, neuroimaging tool development (e.g., EROS), and cerebrovascular contributions to brain aging. Prof. Fabiani’s work is funded by NIH (NIA) and MindPortal, emphasizing interdisciplinary integration of behavioral, electrophysiological, and neuroimaging data. Education: Ph.D. in Biological Psychology/Cognitive Neuroscience from the University of Illinois Urbana-Champaign. She serves as Editor of Psychophysiology and has received prestigious awards, including the Association for Psychological Science Fellowship (2006). Research Interests: Cerebrovascular health, neurophysiological bases of cognitive control, and multimodal imaging techniques. Key projects include studying arterial elasticity (pulse-DOT), cognitive aging mechanisms, and combining EEG, MRI, and optical methods. Notable Achievements: 181+ publications, including high-impact studies on white matter microstructure and the effects of physical activity on brain health. Her lab develops innovative tools like trimodal imaging and optical signal analysis for clinical and cognitive applications. Grants & Collaborations: Active projects funded by NIA and MindPortal, with international collaborations in brain aging and neuroimaging. She leads efforts to bridge basic science and translational research in cognitive health.