جست‌وجوی استاد و پژوهشگر

Armando Barretoمشاهده پروفایل

استاد

• Digital Signal Processing
• Biomedical Signal Processing
• Adaptive Digital Signal Processing
• +۵ مورد دیگر

Armando Barreto is a Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU). He holds a Ph.D. in Electrical Engineering from the University of Florida (1993), an M.S.E.E. from FIU (1989), and a Mechanical-Electrical Engineering degree from the National Autonomous University of Mexico (1987). His research focuses on digital signal processing with applications in biomedical systems, including EEG analysis, adaptive algorithms, neural networks, and real-time embedded systems. He also explores human-computer interaction through sensor technologies like MEMS, inertial measurement units, and multi-touch interfaces. His work addresses accessibility challenges for visually impaired users through dynamic image precompensation and assistive technologies. Key contributions include innovations in signal denoising, affective computing via pupil dynamics analysis, and multimodal data fusion for early detection of neurodegenerative diseases like Alzheimer’s. His research bridges theoretical signal processing with practical applications in healthcare, virtual reality, and wearable devices. Barreto’s publications span over three decades, demonstrating sustained leadership in sensor-based systems, medical signal processing, and computational neuroscience. He collaborates with interdisciplinary teams to advance technologies addressing clinical and accessibility challenges.

Eduardo Mirandaمشاهده پروفایل

استاد

• Computer Music
• Artificial Intelligence
• Brain-Computer Music Interface
• +۵ مورد دیگر

Professor Eduardo Miranda is a visionary academic and composer specializing in computer music, AI, and neuroscience. As Head of the Interdisciplinary Centre for Computer Music Research (ICCMR) at the University of Plymouth, he pioneers innovations like brain-computer music interfaces (BCMI) and quantum computing applications in music. His work bridges art and science, focusing on assistive technologies for people with disabilities and dementia through projects like RadioMe. He holds a PhD from the University of Edinburgh (1995), specializing in AI for music, and has supervised over 20 doctoral students globally. His research spans biocomputing, quantum music systems, and neurotechnology, with grants exceeding £5M. Notable collaborations include work with the BBC Concert Orchestra and Jarvis Cocker, and his opera Lampedusa uses particle physics data from the Large Hadron Collider. Research Interests: - AI and Machine Learning in Music - Quantum Computing for Creativity - Biocomputing and Living Organisms as Processors - Music Neurotechnology for Health - Ethical AI in Creative Industries - Historical Computing (e.g., Charles Babbage’s legacy) - Music-Based Palliative Care Projects & Impact: - RadioMe : AI-driven radio personalization for dementia patients. - QuTune : Quantum computing tools for musicians. - Music and the Brain research group at the Brain Research & Imaging Centre (BRIC). - Development of bio-inspired algorithms for composition and performance. Teaching: Courses in AI, quantum computing, unconventional computing, and music technology. Advising & Grants: Supervised 22+ PhD completions. Secured £5M+ in research funding. Doctoral alumni work globally in academia (e.g., McGill University) and industry (e.g., Arm microprocessors). Recognition: Featured in Forbes for quantum music innovation. Keynote speaker at Royal Institution and EG Conference. First classical composer to perform in the Metaverse.

• Biomaterials
• Biotribology
• Cell and Tissue Engineering
• +۴ مورد دیگر

Dr. Mansour Youseffi is a Senior Lecturer (Reader) in Biomaterials at the University of Bradford's School of Engineering, part of the Faculty of Engineering and Digital Technologies. He leads modules in Materials Science and Engineering, Rehabilitation and Prosthetics, and other biomedical-focused courses. His research spans biomaterials, biotribology, cell and tissue engineering, and medical device development, with a focus on applications in orthopedics, cancer treatment, and regenerative medicine. Since 1992, he has secured over £740k in research funds, supervised 25 PhD graduates, and authored 25 books, 5 patents, and 250+ publications. His work includes advancements in engineered biomaterials for cancer immunotherapy, medical imaging techniques, and smart prosthetics. He currently advises 3 PhD students and collaborates with interdisciplinary teams in Advanced Materials Engineering and Medical Engineering research groups. Key research topics include biocompatible materials for implants, AI-driven medical imaging analysis, and biomaterials for tissue engineering. His contributions address global health challenges, including cancer diagnostics and disparities in healthcare access across regions like the UK and Saudi Arabia.

Susan Schneiderمشاهده پروفایل

استاد

• Philosophy of Cognitive Science
• Artificial Intelligence
• Consciousness Studies
• +۳ مورد دیگر

Susan Schneider is the William F. Dietrich Distinguished Professor of Philosophy of Mind at Florida Atlantic University (FAU), affiliated with the Stiles-Nicholson Brain Institute and the Dorothy F. Schmidt College of Arts and Letters. She serves as Founding Director of the Center for the Future Mind and co-director of the MPCR Lab, focusing on AI, consciousness, and astrobiology. Her research explores the philosophical implications of AI, including conscious AI ethics, integrated information theory, and existential risks. Schneider has held the NASA Chair and Library of Congress Distinguished Scholar roles, contributing to AI policy development in Congress. She has authored influential books like *Artificial You* and appears frequently in media (PBS, History Channel). Her work bridges philosophy, cognitive science, and technology to address cutting-edge questions about mind, AI, and the future of intelligence. Key affiliations include FAU’s Gruber Sandbox facility, where AI systems are developed using neuroscience and philosophy insights. Collaborations with NASA and YHouse explore AI consciousness testing and interstellar probes. Schneider’s recent work involves patenting AI consciousness tests and publishing in journals like *Journal of Consciousness Studies*. She lectures globally, addressing forums such as Harvard’s Kennedy School and the World Science Festival. Education: Not explicitly listed, but her roles imply advanced academic training in philosophy and cognitive science. Grants/Awards: NASA-funded projects, Library of Congress Chair, and Forbes recognition for *Artificial You*. Media Engagement: TV appearances (Star Talk, History Channel), TED talks, and op-eds in *New York Times* and *Scientific American*. Her research trends emphasize interdisciplinary approaches to AI ethics, consciousness measurement, and future technology governance. Articles and talks highlight the urgency of addressing AI’s existential risks and philosophical boundaries. Labs like MPCR Lab exemplify her commitment to merging theory with practical AI development.

Joseph T. Francisمشاهده پروفایل

استاد

• Brain-Machine Interfaces (BMIs)
• Somatosensory Neuroprosthetics
• Sensorimotor Learning
• +۴ مورد دیگر

Joseph T. Francis is a full Professor in the Department of Biomedical Engineering at the University of Houston. He holds a Ph.D. in Neuroscience from The George Washington University and a B.S. in Biology with Honors from SUNY Buffalo. His career spans postdoctoral work at Johns Hopkins University and SUNY Downstate Medical School, followed by faculty roles at SUNY Downstate (2006–2018) and the University of Houston (2015–present). Education Ph.D., Neuroscience, The George Washington University B.S., Biology With Honors, State University of New York at Buffalo His research focuses on Brain-Machine Interfaces (BMIs) and somatosensory neuroprosthetics, aiming to translate neural activity (spiking, LFPs, EEG, fNIRS) into robotic motion and deliver sensory feedback to the brain or periphery. He also investigates sensorimotor learning and neural plasticity. Dr. Francis has secured significant funding from NIH, NSF, and DARPA for projects such as: Regenerative Micro-Electrode Peripheral Nerve Interface (NIH, 2022–2027) Multimodal Brain-Computer Interface for Human-Robot Interaction (NSF, 2021) Synthetic Brain Through Hybrid Systems (DARPA, 2010–2015) His work combines computational neuroscience with experimental approaches, emphasizing cortical plasticity, reward expectation mechanisms, and naturalistic BMI control systems.

Shonda Bernadinمشاهده پروفایل

دانشیار

• Digital Signal Processing
• Speech Recognition
• Artificial Intelligence
• +۷ مورد دیگر

Shonda Bernadin, Ph.D., is an Associate Professor in the Department of Electrical & Computer Engineering at the FAMU-FSU College of Engineering, a joint institution of Florida Agricultural and Mechanical University and Florida State University. She holds a B.S. from Florida A&M University, an M.S. from the University of Florida, and a Ph.D. from Florida State University. Her research spans digital signal processing, speech recognition, artificial intelligence, autonomous vehicles, and engineering education. She directs the Speech Processing and Data Analysis Laboratory (SPADAL) and focuses on broadening STEM participation through K-12 outreach, including ACEE summer camps and CROP-ENG programs. Dr. Bernadin’s work emphasizes engineering education innovation, including evidence-centered assessment design and strategies to improve retention and diversity in engineering. She has authored numerous peer-reviewed publications on topics like neural networks, sensor-based defect detection, and cybersecurity threats in AI systems. Her teaching philosophy prioritizes creating inclusive, effective learning environments through engaging methods and technology integration. Professional activities include leadership in engineering education reform and collaborations with organizations such as ASTERIX to enhance STEM workforce diversity. Her lab’s research often intersects technology development with societal impact, addressing challenges in healthcare, autonomous systems, and additive manufacturing quality control.

Xiaopeng Zhaoمشاهده پروفایل

استاد

• Brain-computer Interface
• Wearable Healthcare
• Computational Neuroscience
• +۱۸ مورد دیگر

Xiaopeng Zhao is a Professor in the Department of Mechanical, Aerospace, and Biomedical Engineering at the University of Tennessee, Knoxville, where he has been a faculty member since 2007. His research focuses on computational neuroscience, biomedical informatics, brain-computer interfaces, and AI applications in healthcare, particularly dementia care. Education: PhD in Engineering Science and Mechanics, Virginia Tech (2004) MS in Engineering, Tsinghua University, China (1999) BS in Engineering, Tsinghua University, China (1996) Research Interests: Dr. Zhao's work spans multiple interdisciplinary fields including brain-computer interfaces, wearable healthcare technologies, computational physiology, signal processing, machine learning, and epidemic modeling. His recent focus has been on developing AI-driven solutions for dementia care, including social robotics, explainable AI models, and personalized healthcare interventions. His research also encompasses biomechanics, micro- and nano-systems, impact and vibration analysis, system identification, and nonlinear dynamics. He applies advanced computational techniques to understand complex biological systems and develop innovative healthcare technologies. Scientific Awards: NSF CAREER Award (2009) Winner of Physionet/Computing in Cardiology Challenge (2010, 2011) Southeastern Conference Visiting Faculty Travel Grant (2016) Faculty Understanding Science in Open Networks Award on Human-Technology Frontier (2018) University of Tennessee Engagement and Outreach Grant (2019) University of Tennessee Faculty Fellow (2019) Professional Service: Dr. Zhao is actively involved in professional organizations including IEEE Engineering in Medicine and Biology Society (EMBS), American Society of Mechanical Engineers (ASME) - Dynamic Systems & Control Division (DSCD), Biomedical Engineering Society, and Society for Industrial and Applied Mathematics (SIAM). Contact: xzhao9@utk.edu | 313 Perkins Hall, University of Tennessee, Knoxville

Graham Healyمشاهده پروفایل

استادیار

• Human-Computer Interaction
• Brain-Computer Interfaces
• Eye-Tracking Systems
• +۳ مورد دیگر

Graham Healy is Assistant Professor and COMSCI Programme Board Chair at Dublin City University's School of Computing. His research develops hybrid human-computer interaction systems using bioelectric signals (EEG), eye-tracking, and machine learning. Current projects include the CASTLE multimodal dataset, AMBER BCI dataset for naturalistic settings, and DERCo EEG-reading comprehension corpus. Dr. Healy creates interactive retrieval systems like VEAGLE (eye gaze-assisted video browsing) and LifeInsight (lifelog search engine), winning competitive evaluations at Video Browser Showdown and Lifelog Search Challenge events. His neuroergonomics research investigates pre-stimulus EEG for predicting driver reaction times, while health informatics projects develop machine learning models for early gestational diabetes prediction using electronic health records. With PhD expertise in brain-computer interfaces from DCU, Dr. Healy's work spans experimental neuroscience, information retrieval, and clinical applications. Recent publications address reproducibility challenges in medical AI and validate diagnostic coding in electronic health systems. His NeuroScore framework evaluates GAN performance using neural responses, advancing quality assessment in synthetic media.

Thomas Naselarisمشاهده پروفایل

دانشیار

• Neuroscience
• Cognitive Neuroscience
• Neuroimaging
• +۳ مورد دیگر

Thomas Naselaris is an Associate Professor at the University of Minnesota, specializing in cognitive neuroscience and neuroimaging. His research focuses on decoding brain activity using advanced fMRI techniques and machine learning models, particularly in understanding visual perception, mental imagery, and memory. He leads the development of benchmark datasets like the Natural Scenes Dataset (NSD) and NSD-Imagery, which have become foundational for studying human visual cortex dynamics. His work integrates computational methods with neuroimaging to uncover how the brain represents and processes complex visual information. Notable contributions include reconstructing seen images from fMRI data and analyzing neural representations across different brain regions. He collaborates on large-scale studies involving ultra-high-field MRI and interdisciplinary approaches combining electrophysiology (iEEG) with fMRI. Key research themes include the role of generative models in visual processing, signal-to-noise dynamics in neural responses, and systems consolidation in memory. His grants include collaborative research proposals funded by CRCNS, focusing on evaluating machine learning architectures using benchmark datasets. Ongoing projects aim to bridge cognitive neuroscience with artificial intelligence, emphasizing interpretable models and scalable brain mapping techniques.

• Biomedical Engineering
• Medical Image Processing
• Health Information Systems
• +۳ مورد دیگر

George Matsopoulos is Professor in Biomedical Engineering at the National Technical University of Athens, heading the Biomedical Engineering Laboratory. His research focuses on medical image processing, diagnostic support systems, and health information technologies. With over 300 publications, he develops computational methods for medical data analysis and leads the BIOMIG research group specializing in medical informatics and neuroimaging applications. Primary research areas include multidimensional medical data fusion, digital biosignal processing, telemedicine systems, and visualization techniques. His laboratory utilizes advanced computational tools including ITK, VTK, and CUDA to address clinical challenges in medical imaging and diagnostics.

Leo Sugrueمشاهده پروفایل

دانشیار

• Neuroradiology
• Cognitive Neuroscience
• Neuromodulation
• +۶ مورد دیگر

Dr. Leo Sugrue is an Associate Professor in the Department of Radiology and holds a joint appointment in the Department of Psychiatry at the University of California, San Francisco (UCSF). He specializes in Neuroradiology, with a focus on imaging brain circuits involved in neuropsychiatric disorders such as obsessive-compulsive disorder (OCD), depression, and movement disorders. His work integrates advanced imaging techniques like functional MRI (fMRI), diffusion MRI (dMRI), and focused ultrasound to develop personalized treatments. He co-directs the UCSF Neuroscience Program in Focused Ultrasound and directs the Laboratory for Precision Neuroimaging, which merges genetic, behavioral, and imaging data to understand brain disorders. Dr. Sugrue earned his MD from Johns Hopkins School of Medicine and a PhD in Neuroscience from Stanford University, with postdoctoral training at Stanford and UCSF. Education: Johns Hopkins (MD), Stanford (PhD in Neuroscience) Residency: UCSF Diagnostic Radiology Fellowship: UCSF Neuroradiology His research interests include neuromodulation, imaging genetics, and molecular imaging. He has received awards such as the Haile T. Debas Excellence in Teaching Award (2019) and the ARRS/ASNR Research Scholar Award (2016). His lab's work emphasizes translational approaches to brain disorders, aiming to tailor treatments to individual patients' needs. Key contributions include studies on OCD treatment using deep brain stimulation (DBS), the role of DNA methylation in Alzheimer's progression, and the development of imaging pipelines for focused ultrasound therapies. Dr. Sugrue collaborates across disciplines, including psychiatry, neurosurgery, and neurology, to advance circuit-based diagnostics and interventions.

Sadasivan Puthusserypady Kumaranمشاهده پروفایل

دانشیار

• Biomedical Signal Processing
• Brain-Computer Interfaces (BCIs)
• Home Health Care Systems
• +۳ مورد دیگر

Sadasivan Puthusserypady Kumaran is an Associate Professor at the Department of Health Technology, Technical University of Denmark. His research focuses on Biomedical Signal Processing, Brain-Computer Interfaces (BCIs), and Home Health Care systems. He holds a PhD from the Indian Institute of Science, with prior roles at National University of Singapore and Raytheon Systems Canada. He leads interdisciplinary projects in digital health and neurorehabilitation. B.Tech: Electrical Engineering, University of Calicut (1986) M.Tech: Instrumentation & Control Systems, University of Calicut (1989) PhD: Electrical Communication Engineering, Indian Institute of Science (1995) Research interests span neurophysiological signal analysis, assistive technologies, and AI-driven healthcare solutions. Recent work emphasizes cardiovascular risk prediction through ECG/sleep data, wheelchair control via EOG signals, and BCI systems for stroke rehabilitation. Notable achievements include Best Paper Awards (2020), Best Poster Award (2015), and recognition for teaching excellence (2017). Advising 5 active PhD projects: Brain-to-Text BCI systems, musculoskeletal digital twins, cardiovascular event prediction, neurology tool development, and wearable health monitoring. Collaborates with clinical and engineering teams across Denmark and internationally. Led the development of Digital Health and Biomedical Signal Processing research groups at DTU, advancing translational healthcare technologies.

Michael Spezioمشاهده پروفایل

دانشیار

• Decision Science
• Cognitive Science
• Computational Cognitive Neuroscience
• +۷ مورد دیگر

Michael Spezio is an Associate Professor of Psychology, Neuroscience, and Data Science at Scripps College. He directs the LIVE Lab (Laboratory for Inquiry into Valuation and Emotion) and specializes in computational cognitive neuroscience, focusing on decision science, valuation, emotion, and social interaction. His work bridges neuroscience, ethics, and virtue science, with notable contributions to understanding autism spectrum disorders, neurodiversity, and moral action. Education: B.S. in Biochemistry, Case Western Reserve University M.Div., Pittsburgh Theological Seminary Ph.D. in Biochemistry, Cornell University Ph.D. in Cognitive & Systems Neuroscience, University of Oregon Key Roles: Co-Director at Scripps College Principal Investigator on multiple grants totaling over $2.5M Research Interests: Spezio explores formal computational models of personal and moral values, the neural basis of social cognition, and ethical implications of neuroscience. His lab integrates EEG/fMRI, natural language processing, and behavioral experiments to study valuation dynamics, trust, and neurodiversity. Recent work addresses how institutions shape values and how interdisciplinary approaches can advance virtue science and moral psychology. Publications Trends: His articles span decision neuroscience, autism neurodiversity, and computational social science. Key themes include amygdala dysfunction, facial emotion recognition deficits, and the neurobiology of social interaction. He critiques popular neuroscientific theories (e.g., McGilchrist’s divided brain hypothesis) using meta-analytic and linguistic methods. Awards: Funded by Templeton Religion Trust, NSF, and NIH Notable grants include the MMIPV project ($190K) and Computational Modeling of Cooperative Success ($697K) Advising & Grants: Spezio has led major initiatives like the Humility in Loving Encounter grant and co-authored grants on autism’s neural circuitry. He collaborates internationally with institutions like Caltech and the German BMBF. Labs/Teams: The LIVE Lab combines interdisciplinary methods to study valuation dynamics. Collaborators include Ralph Adolphs (Caltech), Jan Gläscher (UCI), and teams from theology and ethics.

Mehrdad Jazayeriمشاهده پروفایل

استاد

• Computational Neuroscience
• Neural Dynamics
• Sensory-Motor Integration
• +۵ مورد دیگر

Mehrdad Jazayeri is a Professor in the Department of Brain and Cognitive Sciences at MIT and an Investigator at the McGovern Institute for Brain Research. He directs educational initiatives in the department and teaches 9.014: Quantitative Methods and Computational Models in Neuroscience , focusing on mathematical tools for analyzing neurobiological data. His research centers on the neural mechanisms of timing, sensorimotor integration, and decision-making, with contributions to understanding how the brain encodes time and generates flexible behaviors. Education and Background: Jazayeri earned his PhD in Neuroscience from New York University (NYU) and completed postdoctoral training there, supported by the Helen Hay Whitney Foundation. His work has been honored with prestigious awards including the Howard Hughes Medical Institute Investigator designation (2024), McKnight Scholars Award (2017), and multiple teaching awards from MIT. Research Interests: His lab explores how neural circuits in the frontal cortex and other regions support temporal processing, mental simulation, and hierarchical reasoning. Key topics include neural dynamics underlying interval timing, Bayesian computation in sensory-motor systems, and mechanisms of cognitive control. Recent work highlights the role of entorhinal cortex in mental navigation and the dynamics of working memory. Awards: Over 20 awards/fellowships span career milestones, including the 2024 HHMI Investigatorship, Sloan Research Fellowship (2014), and recognition for both research and teaching excellence. His early career was supported by the Goldsmith Fellowship (NYU) and NSERC Scholarship (Canada). Teaching and Education: As Director of Education in BCS, he shapes curricula for MIT’s Brain and Cognitive Sciences programs. His 9.014 course emphasizes computational modeling, MATLAB programming, and analysis of neurobiological data, reflecting his commitment to bridging theory and experiment. Lab and Collaborations: The JazLab develops innovative techniques like MEDiCINe for neural recordings and leverages primate models to study decision-making circuits. Collaborations integrate experimental neuroscience with computational modeling, addressing questions in temporal processing and neural plasticity.

• Biomathematics
• Network Science
• Dynamical Systems
• +۷ مورد دیگر

Mauricio Barahona is a Professor of Biomathematics and Director of the EPSRC Centre for Mathematics of Precision Healthcare at Imperial College London. He holds appointments in the Department of Mathematics within the Faculty of Natural Sciences. His research integrates dynamical systems, network science, and machine learning to address challenges in healthcare, biological systems, and complex networks. He obtained his PhD in Theoretical Physics from MIT, followed by postdoctoral fellowships at Stanford and Caltech. Key roles include leading the EPSRC Centre since 2016 and contributing to interdisciplinary initiatives such as the Biomathematics Group and the Artificial Intelligence Network. His work spans disease clustering analysis, healthcare system optimization, and applications of AI in precision medicine. He has pioneered methods for analyzing complex networks in biological and clinical contexts, including protein dynamics, antimicrobial resistance spread, and multimorbidity patterns. Research focuses on network-based models for healthcare integration, disease co-occurrence patterns, and machine learning techniques for biomedical data. His lab develops tools like RamanSPy for spectroscopic analysis and HCGA for network phenotyping. Collaborations involve diverse fields from physics to clinical medicine, emphasizing translational applications.