جست‌وجوی استاد و پژوهشگر

Christine Keaneyمشاهده پروفایل

استاد مدعو

• Education
• Human Development
• Teaching, Learning, and Culture
• +۱۰ مورد دیگر

Christine Keaney is an Adjunct Professor in the Department of Human Development at Pacific Oaks College, teaching primarily in the online campus. She delivers key graduate courses including the master's thesis sequence (HD 677A, HD 677C, HD 699C), Advanced Studies in Diversity and Anti-bias Issues (HD 562), and courses on community development, cognitive development, and social change. Education: BA in Individual Concentration (Community Development and Urban Studies), University of Massachusetts, Amherst (1999) MS in Education (International and Intercultural Education), Florida International University (2009) Graduate Certificate in Consensus Building and Conflict Resolution, Florida International University (2009) PhD in Education (Teaching, Learning, and Culture), San Diego State University and Claremont Graduate University (2016) Her research and teaching focus on diversity, social justice, community development, and the educational inclusion of marginalized populations . She explores how funds of knowledge and sense of belonging operate within stigmatized communities such as street gangs, aiming to shift perceptions and promote equitable opportunities. Her interdisciplinary approach integrates education, human development, and urban sociology. Dr. Keaney has presented her work at national conferences including the American Educational Research Association (AERA) from 2016 to 2018. She has also served as a guest lecturer at Broward College, extending her impact beyond Pacific Oaks. Professional Memberships: American Educational Research Association (AERA) NAEYC (National Association for the Education of Young Children) With over 20 years of experience in facilitation and training in social justice, Dr. Keaney bridges academic scholarship and community engagement. Her career reflects a deep commitment to compassionate, equity-driven change through both higher education and nonprofit service. She is actively involved in community service as a foster volunteer with the Humane Society of Greater Miami and the San Diego Humane Society, reflecting her broader ethos of care and social responsibility.

Martin Volkمشاهده پروفایل

استاد

• Climate Change
• Agricultural Landscapes
• Ecosystem Services
• +۴ مورد دیگر

Prof. Dr. Martin Volk is a Professor at the Institute for Geosciences and Geography of Martin-Luther-University Halle-Wittenberg , while also leading the Computational Landscape Ecology department at the Helmholtz Centre for Environmental Research - UFZ . His work focuses on climate change impacts on agricultural systems, ecosystem services valuation, and sustainable land management. Key research trends in his recent publications include climate-adaptive water retention strategies , multi-objective land use optimization , and emergy-based ecosystem service valuation . Notable projects like CLIMALERT and TALE demonstrate his emphasis on stakeholder-driven solutions for agricultural resilience. BiodivERsA Prize for Excellence and Impact (TALE project) His work bridges computational modeling (e.g., SWAT+, Bayesian networks) with field studies on soil moisture, glacier hydrology, and riparian zone restoration. He actively engages with policy frameworks through UFZ's Climate Office for Central Germany and contributes to the Helmholtz Climate Initiative .

• Computer Vision
• Medical Image Analysis
• Pattern Recognition
• +۵ مورد دیگر

Jaime S. Cardoso is a prominent researcher at the University of Porto and Institute for Systems and Computer Engineering, Technology and Science (INESC TEC) in Portugal. His extensive publication record spanning two decades demonstrates his leadership in computer vision, medical image analysis, and pattern recognition. His research primarily focuses on applying artificial intelligence to healthcare challenges, particularly in medical imaging and diagnostics. Cardoso's research interests center on explainable AI for medical applications, biometrics, and computer vision. His work bridges the gap between theoretical machine learning and practical medical solutions, with significant contributions to breast cancer diagnosis, medical image segmentation, and biometric security systems. He has developed innovative approaches to medical image analysis, including virtual staining techniques and privacy-preserving explanation methods for medical AI systems. His recent publications (2023-2025) reveal a strong emphasis on explainable AI in medical contexts, with multiple papers addressing how to make deep learning models more transparent and trustworthy for healthcare applications. He has also made significant contributions to face recognition technology, video anomaly detection, and specialized medical imaging techniques for breast cancer and neonatal EEG analysis. Among his scientific contributions are numerous collaborations with researchers across Portugal and internationally. His work has appeared in top-tier journals including IEEE Access, Medical Image Analysis, and Neurocomputing, reflecting the high impact of his research. Cardoso has supervised numerous students who have become established researchers in their own right, including Ricardo P. M. Cruz, Kelwin Fernandes, and Ana Filipa Sequeira. His research group appears to focus on the intersection of deep learning, medical imaging, and biometrics, with strong connections to clinical applications.

• MRI
• Brain Imaging (EEG, MRI)
• Neuroscience
• +۴ مورد دیگر

Franceschiello Benedetta is an Associate Professor at HES-SO Valais-Wallis School of Engineering, specializing in Technical and IT disciplines. She holds a PhD in Mathematical Neuroscience from Université Pierre et Marie Curie (Paris). Her work bridges applied mathematics, computational neuroscience, and neuroimaging, with a focus on visual perception modeling, MRI techniques, and neural dynamics. Teaching: Linear Algebra courses across multiple engineering bachelor programs Expertise: Combines mathematical modeling with neuroscientific applications to study optical illusions, brain connectivity, and ophthalmic diagnostics Key Affiliations: ISMRM, Organization for Human Brain Mapping (OHBM), Association for Research in Vision and Ophthalmology (ARVO) Research Interests: Computational modeling of visual cortex mechanisms underlying geometric optical illusions Development of MRI-based methods for eye structure segmentation and axial length estimation Analysis of brain network reliability through standardized MRI protocols Optimization techniques for medical imaging reconstruction (e.g., weighted LASSO problems) Recent Work Trends: Focus on integrating psychophysical experiments with computational models to elucidate perceptual mechanisms, emphasizing synergistic interactions between physical stimulus parameters. Active in advancing MRI applications for both clinical diagnostics and fundamental neuroscience research.

Pooran Memariمشاهده پروفایل

پژوهشگر

• Geometric Modeling
• Computer Graphics
• Computational Geometry
• +۵ مورد دیگر

Pooran Memari is a CNRS Researcher at the Laboratoire d'Informatique de l'École Polytechnique (LIX), UMR CNRS 7161, Institut Polytechnique de Paris, and an Affiliate Professor (part-time) at École Polytechnique. She leads research in geometric modeling within the GeomeriX team at LIX-Inria, focusing on theoretical foundations and applications in accessibility and neurocognition. Her academic journey includes: HDR (Habilitation à diriger des recherches), Institut Polytechnique de Paris, 2024 Ph.D. in Geometric Modeling, INRIA Sophia-Antipolis, 2010 Master in Image and Geometry, University of Nice-Sophia Antipolis, 2006 Engineering Degree, École Polytechnique, 2005 Bachelor in Mathematics, Sharif University of Technology, 2002 Dr. Memari's research bridges geometric modeling, computational geometry, and computer graphics with real-world impact. She pioneers techniques in shape representation, point pattern synthesis, and surface reconstruction, advancing proximity encoding and clustering algorithms. Her work extends to accessibility applications—developing geometric models for visually impaired navigation through multisensory perception—and neurocognition validation via tactile interfaces. This interdisciplinary approach integrates theoretical rigor with practical tools like the CGAL library. Recent publications (2024-2019) reveal a cohesive trajectory in geometric processing: advancing point pattern synthesis through image-based editing (Patternshop), stability-incorporated neighborhood graphs (SING), and multi-class disk distributions; innovating surface reconstruction via Voronoi-based methods (BallMerge); and expanding applications to virtual worlds simulation and neurocognitive accessibility. Key themes include bridging discrete geometry operators with high-dimensional data analysis and translating theoretical insights into tools for visual computing. Dr. Memari actively mentors the next generation of researchers, advising eight PhD students on topics ranging from generalized Voronoi diagrams to neurocognition-driven tactile navigation. She coordinates Computer Science Projects for École Polytechnique's Bachelor program since 2019 and co-leads the Interaction, Graphics & Design master's program at IP-Paris. Her leadership extends to editorial roles at Computer Graphics Forum and Graphical Models Journal, alongside prominent conference positions including SGP Program Co-Chair (2023) and Eurographics STARs Co-Chair (2025). As a core GeomeriX team member, she drives collaborative projects in geometric modeling and virtual environments. She coordinates the LIX Seminar since May 2025 and serves on the French Eurographics Chapter board, fostering community engagement through initiatives like the IGD master's program and Eurographics symposia.

John Derek Morganمشاهده پروفایل

دانشیار

• Geographic Information Systems (GIS)
• Urban Environmental Geography
• Participatory Mapping
• +۱۲ مورد دیگر

John Derek Morgan is an Associate Professor in the Department of Earth and Environmental Sciences at the University of West Florida, within the Hal Marcus College of Science and Engineering. He serves as the primary faculty for the online Master of Science in GIS Administration program, contributing significantly to geospatial education and research. His work bridges urban environmental geography, GIS, cartography, and public policy. PhD in Geography, Florida State University MS in Management Information Systems, University of Central Florida BA in Economics (with Computer Science minor), University of Central Florida Dr. Morgan's research centers on the application of advanced geospatial methodologies to urban and environmental challenges. His work spans participatory mapping, crime mapping using time-geographic models, hazard modeling, land use planning, and cartographic visualization. He emphasizes user-centered design in Web GIS and explores how spatial tools can promote safer communities and equitable decision-making. His projects often integrate satellite imagery, social vulnerability indices, and community input to inform resilience and policy. The recent publications reflect a strong trend in applying GIS to social and environmental issues, including disaster response, urban park safety, illegal logging detection using GeoAI, and wildfire monitoring. His work combines technical innovation in geovisualization with real-world applications in public safety, environmental justice, and urban sustainability. Scientific Awards: NSF Doctoral Dissertation Research Grant #0927850 Dr. Morgan advises graduate students in the MS GIS program and has been involved in significant research grants, including the Florida Sea Grant 2024 project focused on training GIS graduates for coastal resilience. His collaborations span interdisciplinary teams, including environmental scientists, urban planners, and computer scientists. He has also contributed foundational content to the UCGIS Geographic Information Science & Technology Body of Knowledge. He leads research initiatives involving Web GIS development, hazard modeling post-hurricanes, and participatory mapping for community engagement. His lab work includes the use of satellite imagery, Bayesian networks for infrastructure failure, and deep learning for environmental monitoring. Future work continues to focus on transboundary viewshed changes, GeoAI applications, and improving spatial tools for public decision-making.

• Injury Prevention
• Risk Engineering
• Biomechanics
• +۶ مورد دیگر

Professor David Eager is a leading academic at the University of Technology Sydney in the School of Mechanical and Mechatronic Engineering . With a dual appointment as Professor of Risk Management and Injury Prevention, his work bridges mechanical engineering, biomechanics, and public health policy. PhD in Engineering (UNSW) 1st Class Honours Degree (NSWIT) Graduate Certificate in Dispute Resolution (UTS) His research focuses on risk engineering for injury prevention in recreational environments, with specific expertise in trampoline safety , playground surfacing , and greyhound racing biomechanics . Current projects examine impact attenuating materials and characterize trampoline dynamics through acceleration analysis. Recent publications include studies on: Dynamic behavior of sports sands (2025) Greyhound galloping mechanics (2024) ISO 4980:2023 benefit-risk assessment standard (2024) Scientific recognition includes: Life Member of Play Australia (2021) Standards Australia Centenary Hero (2022) AGM Michell Medal (2024) Kidsafe Research of the Year Award (2024) He maintains active roles in international standards development as: Australian representative on ISO/TC 83 Sports Equipment Australian representative on ISO/TC 254 Amusement Rides Chair of multiple Australian Standards committees

Alex DiFeliceantonioمشاهده پروفایل

استادیار

• Appetitive Neuroscience
• Food Reward
• Eating Behavior
• +۷ مورد دیگر

Alex DiFeliceantonio, Ph.D., is an Assistant Professor at the Fralin Biomedical Research Institute at VTC and in the Department of Human Nutrition, Foods and Exercise within the College of Agriculture and Life Sciences at Virginia Tech. She is also the Interim Co-director of the Center for Health Behaviors Research, where she leads interdisciplinary efforts to understand the neurobiological basis of eating behaviors. Dr. DiFeliceantonio earned her B.S. in Psychology from Sweet Briar College and her Ph.D. in Biopsychology from the University of Michigan. She completed postdoctoral training at Yale University and the Max Planck Institute for Metabolism Research in Germany, focusing on dopamine signaling and food motivation. Her research centers on appetitive neuroscience—how the brain integrates sensory and metabolic signals to guide food choices. She uses multimodal brain imaging and behavioral methods to explore food reward, craving, and the addictive qualities of ultra-processed foods. Her lab investigates how combinations of fat and carbohydrates produce supra-additive reward responses and how these mechanisms may contribute to overeating and obesity. Her recent publications highlight a strong focus on the neural and behavioral effects of ultra-processed foods, reward circuitry, and potential parallels between food and drug addiction. She has published in high-impact journals such as Cell Metabolism , Science , and Appetite , often in collaboration with leading experts in neuroscience and metabolism. Supra-additive food reward from fat-carbohydrate combinations Neural mechanisms of ultra-processed food consumption Dopamine signaling in eating behavior Overlap between food and drug reward pathways Controlled feeding trials in young adults Implications for food addiction and public health Dr. DiFeliceantonio has received research support from the National Institutes of Health and the Seale Innovation Fund. She is actively involved in training the next generation of scientists through her lab and mentoring roles. She also contributes to public science communication through media interviews, podcasts like 'Curious Conversations,' and public lectures on brain science and eating behavior. She leads the DiFeliceantonio Lab in Roanoke, which combines neuroscience, nutrition, and psychology to address critical questions about diet, motivation, and health. Her work has been featured in major media outlets including the New York Times , National Geographic , and Yahoo News , reflecting its broad scientific and societal relevance.

Chang-Hee Wonمشاهده پروفایل

استاد

• Tactile Sensing
• Optimal Control Theory
• Spectral Imaging
• +۷ مورد دیگر

Chang-Hee Won is a Professor in the Department of Electrical and Computer Engineering at the College of Engineering, Temple University. He leads the Control, Sensor, Network, and Perception (CSNAP) Laboratory and is actively engaged in research funded by the National Science Foundation, Pennsylvania Department of Health, and the Department of Defense. His research interests span tactile sensing , optimal control theory , spectral imaging , and dynamic sensing systems . His work integrates sensor technologies with machine learning for biomedical applications, particularly in cancer detection and tissue characterization. He has published over 120 peer-reviewed articles and secured multi-million dollar grants as principal investigator. The recent publications highlight a strong trend in applying tactile and imaging sensors with deep learning for medical diagnostics , especially in breast cancer and malignant melanoma classification. His research bridges control theory, sensor design, and AI-driven health technologies. He serves as a frequent reviewer for the National Science Foundation and sits on the National Institute of Health Biomedical Imaging Study Section. Reviewer, National Science Foundation panels Member, NIH Biomedical Imaging Study Section He has advised multiple graduate students including N. Rahman, V. Oleksyuk, and H. Ahn, who have co-authored recent journal publications. His research is supported by significant grants from federal and state agencies, as well as industry partnerships. He directs the Control, Sensor, Network, and Perception (CSNAP) Laboratory , which focuses on developing advanced sensor systems, control algorithms, and perception technologies for biomedical and engineering applications.

• Analytical Chemistry
• Atomic and Molecular Spectroscopy
• Sample Preparation
• +۷ مورد دیگر

Alatzne Carlosena Zubieta is a Professor in the Department of Chemistry at the Faculty of Science, University of A Coruña (UDC), Spain. She is an active member of the Applied Analytical Chemistry research group, contributing significantly to analytical methodologies in industrial, environmental, and agro-food sectors. Her research interests include: Atomic and Molecular Spectroscopy Sample Preparation Techniques Green Analytical Chemistry Environmental and Industrial Analysis Water and Material Quality Assessment Her recent publications reflect a strong focus on environmental monitoring, particularly concerning microplastics, bioplastics, and metal contamination in water and consumer products. She has developed methodologies for lead detection, polyphenol analysis, and nanoparticle-based sensing, aligning with sustainable and green chemistry principles. She has received research funding from national bodies like the Ministry of Science and Innovation, regional agencies such as the Xunta de Galicia, and industrial partners including Repsol and Endesa. Her collaborative projects often involve interdisciplinary teams addressing real-world environmental and industrial challenges. Alatzne Carlosena has supervised multiple PhD and Master’s theses, mentoring students such as Javier Terán Baamonde, Susana Carballo Paradelo, Mónica Felipe Sotelo, and María Jesús Cal Prieto. Her academic advising emphasizes methodological rigor and environmental relevance. She teaches a wide range of courses including General Chemistry, Analytical Strategies, Water Treatment, and Nanomaterials Characterization across undergraduate and graduate programs in Chemistry, Nanoscience, and Environmental Management.

Carme Torrasمشاهده پروفایل

استاد پژوهشی

• Robotics
• Artificial Intelligence
• Neurocomputing
• +۴ مورد دیگر

Carme Torras is a Research Professor at the Institute of Robotics and Industrial Informatics (IRI), a joint center of the Polytechnic University of Catalonia (UPC) and the Spanish National Research Council (CSIC), affiliated with the Faculty of Informatics of Barcelona (FIB). She leads the research group in assistive robotics, focusing on ethical, human-centered robotic systems. With over 400 scientific publications, she has made pioneering contributions in robotics, neurocomputing, and artificial intelligence. PhD in Computer Science – Universitat Politècnica de Catalunya Master in Computer Science – University of Massachusetts Bachelor in Mathematics – University of Barcelona Her research interests span robotics , artificial intelligence , neurocomputing , and ethics in digital technologies . She emphasizes the societal impact of AI, promoting ethical principles and public engagement. Her recent articles and literary works explore human-robot interaction, assistive systems, and the emotional dimensions of technology. The analysis of her recent publications reveals a strong trend toward interdisciplinary research combining technical innovation with ethical reflection. Her work integrates robotics with cognitive science, literature, and social responsibility, emphasizing open science and inclusive design. She advocates for an open laboratory model in assistive robotics to foster collaborative innovation. Nit de la Robòtica Award (2022) Pedrolo Prize for 'La mutación sentimental' Ictineu Prize for 'La mutación sentimental' and 'Enxarxats' Carme Torras has supervised 20 doctoral theses and led 17 European research projects, demonstrating significant leadership in both academic mentoring and large-scale collaborative research. She is deeply involved in science communication, using fiction to explore ethical dilemmas in AI. Her vision includes expanding open-access research infrastructure in robotics. She leads the assistive robotics research group at IRI, which focuses on developing intelligent robotic systems for healthcare and personal assistance. The team emphasizes ethical design, human-robot collaboration, and accessibility, contributing to both technological advancement and societal dialogue.

Otavio A Buenoمشاهده پروفایل

استاد

• Philosophy of Science
• Philosophy of Mathematics
• Philosophy of Logic
• +۷ مورد دیگر

Otavio A Bueno is a Professor and Chair of the Philosophy Department at the University of Miami's College of Arts and Sciences, holding the distinguished position of Cooper Senior Scholar in Arts and Sciences. His academic leadership spans teaching, research administration, and interdisciplinary collaboration across multiple institutions including the University of South Carolina and California State University, Fresno. Education: Ph.D. in Philosophy, University of Leeds, UK (1999) M.A. in Philosophy, University of São Paulo, Brazil (1996) B.A. in Philosophy, University of São Paulo, Brazil (1993) Bueno's research bridges philosophy of science, mathematics, and logic through an empiricist framework compatible with mathematical nominalism. He investigates visual evidence in scientific reasoning through microscopic imaging, explores logical pluralism tied to modal epistemology, and develops frameworks for understanding scientific continuity via styles of reasoning. His work on quantum mechanics connects identity to fundamentality while his revival of Pyrrhonism offers a non-dogmatic empiricist approach to skepticism. The integration of philosophy of art with scientific representation demonstrates his interdisciplinary reach across metaphysics, epistemology, and aesthetics. His publication trends reveal sustained engagement with foundational questions in mathematics and logic, increasingly focusing on heuristic methods, counterpossibles, and conceptual engineering. Recent work emphasizes the process-oriented nature of mathematical practice while challenging traditional ontological assumptions through deflationary approaches. Scientific Awards: Distinguished Achievement in Research Award, CSU Fresno (2001-2002) Multiple Research, Scholarship, and Creative Activities Awards Teaching Innovation Awards for course development Prestigious Research Fellowships from CAPES Brazil and UK academic bodies Bueno has secured substantial research funding including NSF grants totaling over $2.8 million for nanotechnology projects and Brazilian CNPq funding for styles of scientific reasoning research. His collaborative projects with medical ethicists like Robin Neiman demonstrate applied philosophy in evidence-based medicine. As department chair and frequent course developer across all academic levels, he has mentored numerous graduate students while creating innovative curricula in philosophy of science, logic, and interdisciplinary studies. Current projects focus on conceptual engineering and the epistemology of mathematical practice within his research group at the University of Miami.

Sotirios Koukoulasمشاهده پروفایل

دانشیار

• Remote Sensing
• Geographic Information Systems (GIS)
• Spatial and Environmental Planning
• +۳ مورد دیگر

Dr. Sotirios Koukoulas is an Associate Professor at the Department of Spatial Planning, Urban Planning and Regional Development at the University of Thessaly since 2023. His academic career spans over 20 years, including roles as Lecturer (2002–2023) and Postdoctoral Researcher (2001–2002) at the University of the Aegean. He holds a PhD in Remote Sensing and GIS from King’s College London, an MSc in Statistics from the University of Lancaster, and a Bachelor’s in Environmental Science from the University of the Aegean. Research Interests: Remote Sensing and GIS applications for land use/cover change Coastal erosion modeling and climate change impacts Urban growth analysis and sprawl monitoring Environmental degradation and desertification mapping Spatial metrics in ecological and urban planning Key Academic Contributions: Pioneered GIS models for landfill site selection and coastal resilience Developed integrated coastal simulation tools (SCAPEGIS) Created statistical frameworks for extremal dependence in coastal systems Advanced land cover classification using machine learning (Random Forests) Contributed to EU climate cost assessment projects (ClimateCost, CIRCE) Scientific Recognition: Recipient of Marie Curie Outgoing International Fellowship Member of editorial boards for PLOS One and Remote Sensing journals Active in international conference scientific committees (EARSeL, IGARSS) Collaborated with institutions in the UK, Ireland, Germany, and China Teaching and Leadership: Lectures on Remote Sensing, Statistics, and Land Cover Mapping Coordinator of university research grants and EU-funded projects Advisor for graduate students in environmental and urban studies

Diego V. Bohorquezمشاهده پروفایل

دانشیار

• Gut-Brain Axis
• Neurogastroenterology
• Sensory Neuroscience
• +۳ مورد دیگر

Diego V. Bohorquez is an Associate Professor at Duke University School of Medicine with cross-appointments in Medicine, Molecular Genetics and Microbiology, Cell Biology, Pathology, and Neurobiology. He is a Faculty Network Member of the Duke Institute for Brain Sciences, focusing on gut-brain neural communication mechanisms. His educational background includes a Ph.D. from North Carolina State University (2010), a Postdoctoral Fellowship in Neurogastroenterology at Duke University (2010-2014), and a Grass Fellowship in Neurosciences at the Marine Biological Laboratory (2014). Dr. Bohorquez pioneered the discovery of neuropod cells – specialized enteroendocrine cells that convert gut nutrient signals into neural activity via glutamatergic synapses, forming a direct gut-brain circuit. His research reveals how this pathway discriminates real sugar from artificial sweeteners, regulates feeding behavior, and transmits microbial signals. This work fundamentally challenges the hormone-mediated model of gut-brain communication, establishing a hardwired neural mechanism for visceral sensation. His 15 most recent publications (2018-2025) consistently advance gut-brain axis understanding, with landmark studies in Nature , Cell , and Science demonstrating neuropod cell function, sugar preference mechanisms, and microbial pattern recognition. The research spans neuroscience, gastroenterology, and microbiology, increasingly incorporating bioengineering approaches for neural circuit modulation. His scientific recognition includes the 2024 Presidential Early Career Award for Scientists and Engineers (PECASE) from the National Science Foundation, honoring exceptional promise in research and education. Dr. Bohorquez mentors students through NEUROSCI independent study courses (493-495) and leads 15+ active grants including "Gut epithelial control of nutrient reward" (2024-2028), "Bacteria sensory transduction from gut to brain" (2023-2028), and "Harnessing the gut-brain circuit in binge eating disorder" (2024-2026), totaling over $10M in funding. He directs a multidisciplinary lab within the Duke Institute for Brain Sciences, collaborating with neuroscientists, gastroenterologists, and bioengineers to develop neuromodulation therapies for obesity, diabetes, and eating disorders through gut-brain circuit manipulation.

Susanna Schellenbergمشاهده پروفایل

استاد

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

Susanna Schellenberg is a Distinguished Professor of Philosophy and Cognitive Science at Rutgers University and an Executive Council Faculty member of the Rutgers University Center for Cognitive Science (RuCCS) . Her research spans epistemology, philosophy of mind, cognitive science, AI, and neuroscience , focusing on perception, mental representation, capacities, perspectives, and consciousness. Email: susanna.schellenberg@rutgers.edu Office: 106 Somerset St - 517 New Brunswick, NJ Her current projects, funded by a Guggenheim Fellowship , Mellon New Directions Fellowship , and NEH Grant , explore the intersection of AI, neuroscience, and philosophy , particularly the nature of perspectives in humans and AI systems. She is developing a book on reflexivity and working on neural basis of perception studies. Key research themes: perception, mental capacities, epistemology, AI ethics, subjective perspective Recent publications focus on perceptual content, consciousness theory, and algorithmic bias Schellenberg has received international recognition including the Humboldt Research Award and multiple symposium engagements at institutions like the University of Glasgow , University of Zürich , and TMU Taipei . She has delivered keynote addresses at events such as the 14th International Kant Congress and ASSC 2024 .