جستجوی استاد راهنمای دانشگاهی

Stephanie Posthumusمشاهده پروفایل

دانشیار

• Ecocriticism
• French Literature
• Animal Studies
• +۳ مورد دیگر

Stephanie Posthumus serves as Associate Professor at McGill University, specializing in contemporary French and Québécois literature through the lens of ecocriticism, animal studies, and plant studies. Her research interrogates representations of the non-human across European literary traditions while examining cultural specificities in environmental discourse. Professor Posthumus develops French-specific ecocritical frameworks by engaging with thinkers like Guattari ( écosophie ), Latour ( nature-culture ), and Serres ( contrat naturel ), arguing against universal ecocritical models. Her work spans three interconnected domains: constructing French ecocriticism through monographs like French Écocritique (2017); analyzing animal representations via co-edited volumes including French Thinking about Animals (2015); and pioneering plant studies in Québécois contexts through recent works like Entre les feuilles (2024). She further bridges digital and environmental humanities through SSHRC-funded platform development. Her publication trajectory (2016-2024) reveals intensifying focus on vegetal agency and digital methodologies within ecocritical practice. Articles consistently address cultural differences in environmental representation, with increasing attention to sensory plant studies and posthumanist reconfigurations of human/non-human boundaries across French and Québécois literary landscapes. Professor Posthumus leads the Digital Environmental Humanities initiative, which functions as a research hub featuring digital exhibits, analytical tools like topic modeling, and pedagogical resources. This SSHRC Connections grant project (2013) exemplifies her commitment to interdisciplinary knowledge mobilization through digital innovation. She currently directs collaborative research networks connecting Canadian environmental humanities scholars with digital humanities practitioners, fostering experimental approaches to ecological representation through multimodal projects examining plant intelligence and sensory environmental engagement.

Chang Bi-Yuمشاهده پروفایل

پژوهشگر

• Cultural Policy
• Identity Construction
• Political Cartography
• +۳ مورد دیگر

Dr. Chang Bi-Yu is a Researcher at the School of Oriental and African Studies (University of London) and a Visiting Fellow at Ruhr University Bochum. Her work focuses on the interplay of culture and power, particularly in the context of Taiwanese identity formation, cultural policy, and spatial representation. She holds a PhD from an unspecified institution, with her dissertation examining Taiwan's post-war cultural policies (1945-2001). Her research has been funded by grants including the Chiang Ching-kuo Foundation and Taiwan's Ministry of Education. Key projects include analyzing cartographic representations of 'China' in Taiwanese maps and exploring spatial constructs like Chung-hsin New Village. She is co-editing Imaging Taiwan and authoring a monograph on spatial narratives in post-war Taiwan. Her work bridges cultural studies, political history, and geography, emphasizing how state power shapes national identity through cultural and spatial frameworks.

Christoph T. Kochمشاهده پروفایل

استاد

• Electron Microscopy
• Materials Science
• Condensed Matter Physics
• +۳ مورد دیگر

Christoph T. Koch is a Professor of Physics at Humboldt-Universität zu Berlin, where he has held the W3 Chair since 2015. Previously, he held a similar position at Ulm University (2011–2015), supported by the Carl Zeiss Foundation. His research focuses on advanced electron microscopy techniques, including quantitative transmission electron microscopy (TEM), electron holography, and strain mapping. He leads the AG Strukturforschung/Elektronenmikroskopie group, advancing materials science through innovations in imaging and spectroscopy. Education: B.Sc./M.Sc. in Physics at Heidelberg University (1996–1998), followed by an exchange at Arizona State University (1997–1998). PhD in Physics from Arizona State University (2002, advisor: Prof. John C.H. Spence). Postdoctoral research at the Max Planck Institute for Metals Research, Stuttgart (2002–2011). Research interests include: Electron diffraction and phase retrieval Nanometer-scale strain and defect analysis Electron energy-loss spectroscopy (EELS) for plasmonics and bandgap mapping Development of FAIR data infrastructure for materials science Leadership: Managed the Department of Physics at Humboldt University (2020–2024). Collaborates widely, with key co-authors including P.A. van Aken, W. Sigle, and C. Felser. His work bridges experimental microscopy and computational modeling, addressing challenges in semiconductors, ceramics, and 2D materials. Notable contributions include pioneering methods for 3D reconstruction via electron ptychography, dynamic electron diffraction analysis, and strain mapping in advanced CMOS technologies. Current efforts emphasize real-time imaging and AI-driven data analysis in materials research.

Alma Leora Culénمشاهده پروفایل

استاد

• Interaction Design
• Sustainable Interaction Design
• Research through Design
• +۳ مورد دیگر

Alma Leora Culén is a Professor in the Design of Information Systems at the Department of Informatics, University of Oslo, part of the Faculty of Mathematics and Natural Sciences. She holds a prominent role in advancing sustainable interaction design, research through design methodologies, and transformative design practices focused on societal transitions. Her academic journey includes contributions to HCI education reform, emphasizing ethical and sustainable design principles. Culén has pioneered projects like 'Plurishop' exploring sustainable smartphone alternatives and 'Transition Design' approaches for mitigating democratic erosion. She actively engages in interdisciplinary collaborations through research groups such as DESIGN and Design4Dem. Key research interests span sustainable technology, participatory design processes, and leveraging AI for complex design mediation. Her work often intersects with societal challenges like climate action, youth engagement in socio-technical systems, and rural sustainability initiatives. Culén's pedagogical innovations include intensive design courses and speculative installations for civic education. She leads projects funded by the Norwegian Research Council, focusing on sustainable consumption patterns and MaaS solutions for rural areas. Notable collaborations include international design research societies and EU-funded sustainability initiatives. Her lab activities emphasize participatory prototyping and transition design frameworks, with a focus on vulnerable populations such as chronically ill youth and elderly users. Culén's work bridges academic research with real-world impact through partnerships with libraries, municipalities, and tech industries.

Oscar Mendez Maldonadoمشاهده پروفایل

مدرس

• Robotics
• Artificial Intelligence
• Computer Vision
• +۳ مورد دیگر

Oscar Mendez Maldonado is a Lecturer in Robotics and Artificial Intelligence at the University of Surrey's School of Computer Science and Electronic Engineering, affiliated with the Robotics Department and CVSSP Centre. He holds a PhD (2018) and BEng (2013) from the University of Surrey. His research focuses on Machine Learning, Computer Vision, and Robotics, with emphasis on autonomous systems, localisation, and SLAM applications. Key projects include the Autonomous Valet Parking (AVP) system for indoor navigation and the SMILE project for sign language assessment using AI. He has supervised students like James Ross (Autonomous Vehicles), Xihan Bian (Reinforcement Learning), and Nimet Kaygusuz (Visual Odometry). Notable achievements include the Sullivan Thesis Prize (2018) and impactful publications in IEEE conferences (e.g., ICRA, CVPR, IROS). Research spans topics like 3D hand pose estimation via diffusion models, graph-based visual odometry fusion, and Raman spectroscopy for localisation. He contributes to open-source tools (e.g., RaSpectLoc GitHub) and collaborates with industry partners like Parkopedia. His work bridges theoretical advances with real-world applications in autonomous systems and healthcare.

• Criminology
• Urban Space and Social Control
• Deviant and Criminal Subcultures
• +۸ مورد دیگر

Theo Kindynis is a Senior Lecturer in Criminology at the Department of Sociology and Criminology, City St George's, University of London, where he joined in March 2024. Previously, he taught at Goldsmiths, University of London, and the University of Roehampton. His academic affiliations reflect a strong commitment to critical, ethnographic, and spatially informed criminological inquiry. PhD in Criminology, University of Greenwich, United Kingdom MPhil in Criminological Research, University of Cambridge, United Kingdom BA Hons in Sociology, University of Kent, United Kingdom Fellowship of the Higher Education Academy, Higher Education Academy, United Kingdom Theo Kindynis’s research centers on the intersections of urban space, lawbreaking, and social control. He is a leading expert on deviant subcultures, particularly graffiti writing and urban exploration, having conducted long-term ethnographic fieldwork in London. His work bridges empirical investigation with theoretical innovation, most notably through co-pioneering the concept of "ghost criminology" —a framework that examines the haunting aftereffects of crime, violence, and punishment. His methodological contributions include publishing legal, ethical, and practical guidance for criminological ethnographers researching criminalized groups, especially in digital and high-surveillance environments. His recent publications reveal a sustained engagement with spatial criminology, subcultural practices, and the ethics of ethnographic research. Themes across his work include the policing of urban aesthetics, the affective engineering of consumer spaces, the spectral presence of past violence, and the information security challenges faced by researchers in sensitive fields. His scholarly output combines theoretical rigor with grounded empirical insight, frequently published in top journals such as The British Journal of Criminology and Crime, Media, Culture . Theo Kindynis has contributed to public discourse as an expert commentator on graffiti and urban exploration, appearing in media outlets including the BBC Evening News and The Guardian. His work on information security for ethnographers addresses a critical gap in methodological literature, drawing from journalism, activism, and digital rights advocacy. Co-authored the foundational book Ghost Criminology: The Afterlife of Crime and Punishment (NYU Press, 2022) Pioneered methodological guidance on protecting ethnographic data from state and non-state threats Developed innovative approaches to anonymization and data protection in high-risk research Advocates for ethical rigor in researching criminalized populations As a supervisor, Theo welcomes doctoral proposals on urban space, deviant subcultures, and ethnographic methods. He is actively involved in shaping the future of criminological theory and methodology, particularly in relation to digital surveillance, researcher safety, and the cultural afterlives of crime. Theo Kindynis is affiliated with research teams exploring the intersections of space, crime, and memory. His ongoing projects continue to develop the framework of ghost criminology, while expanding into issues of algorithmic surveillance, border control, and the digital footprints of academic research. His work is increasingly relevant in an era of automated state profiling and data-driven social control.

Konstantinos Avramidisمشاهده پروفایل

استادیار

• Research through design
• Architectural design
• Architectural communication
• +۴ مورد دیگر

Konstantinos Avramidis is an Assistant Professor at the Department of Architecture of the University of Cyprus , where he focuses on architectural design, urban cultural studies, and visual communication. He earned his PhD in Architectural Design from the University of Edinburgh as a fellow of the Edinburgh College of Art, following a Master's in Architecture and Spatial Design with distinction from the National Technical University of Athens and undergraduate training at Aristotle University of Thessaloniki. Current position: Assistant Professor, University of Cyprus Previous teaching: Drury University, University of Portsmouth Academic honors: Fellow of UK Higher Education Academy His research explores intersections between architectural design, graffiti/street art, and urban spatial practices. He has co-edited the book Graffiti and Street Art: Reading, Writing and Representing the City (Routledge, 2017) and founded the Drawing On research journal and Routledge Advances of Graffiti and Street Art Research series. His work analyzes urban inscriptions as critical spatial practices, examining how crises reshape architectural representation. Scientific distinctions include first prizes in the 'Kozani x4' and 'Thesprotia Chamber of Commerce' architectural competitions. His research has been presented at institutions like TU Delft, ICA, and University College London, with publications in journals such as City: Analysis of Urban Change and The Design Journal . He actively supervises student projects that have won multiple awards.

• Visual Analytics
• Mobility Data Science
• Machine Learning
• +۴ مورد دیگر

Natalia Andrienko is a Professor of Computer Science at City University London and Lead Scientist in the Knowledge Discovery department at Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme. Her work bridges visual analytics with mobility data science and machine learning, focusing on human-in-the-loop systems for pattern discovery and spatiotemporal data exploration. Professor, Computer Science, City University London (2013-present) Lead Scientist, Knowledge Discovery, Fraunhofer Institute (1997-present) Research interests center on visual analytics methodology for spatiotemporal data, human-centered machine learning, and mobility pattern analysis. She develops frameworks for interactive dashboards, trust visualization in ML, and semantic exploration of location-based data, with a focus on scalable and privacy-respecting techniques. Her recent publications investigate hybrid human-machine discovery of movement patterns, contextual visual analytics for multivariate events, and the integration of temporal periodization with spatial analysis. Articles emphasize applications in sports analytics, transportation systems, and collaborative visual analysis workflows. Key collaborations include work with Gennady Andrienko and Salvatore Rinzivillo. She has contributed to journals like Visual Informatics , IEEE Transactions on Visualization and Computer Graphics , and International Journal of Cartography , maintaining active research output across visual analytics, mobility science, and geospatial data modeling.

Peter J. Kohlerمشاهده پروفایل

استادیار

• Visual Neuroscience
• Mid-Level Vision
• Perceptual Organization
• +۹ مورد دیگر

Peter J. Kohler is an Assistant Professor in the Department of Biology within the Faculty of Science at York University, Toronto. He is eligible to supervise graduate students in the Biology Graduate Program and leads the Kohler Visual Neuroscience Lab, which is part of the Centre for Vision Research at York University. His research lies at the intersection of cognitive neuroscience and visual perception, focusing on mid-level visual processing. This involves understanding how the brain, within the first few hundred milliseconds of visual input, constructs representations of shape, motion, location, and perceptual organization—including figure-ground segregation, grouping, and constancy. His work integrates functional MRI (fMRI) , electroencephalography (EEG) , and visual psychophysics to probe the neural mechanisms underlying these processes in humans. Recent publications reveal a strong focus on symmetry processing, perceptual grouping, numerical estimation, and multisensory integration. His work often involves advanced neuroimaging techniques and collaborative international research, particularly with teams in Belgium and Luxembourg. The articles span high-impact journals such as PNAS , Nature Communications , Current Biology , and Journal of Vision , indicating a robust and influential research program in visual neuroscience. Scientific Awards and Funding: NSERC Discovery Grant (awarded April 2020) VISTA Research Grant (funded June 2023) Prof. Kohler actively mentors students, including graduate students such as Rachel Moreau, Sara Chaparian, Yara Iskandar, Shaya Samet, and Shenoa Ragavaloo, as well as undergraduate researchers. His lab has presented at major conferences including the Vision Sciences Society (VSS) and the Lake Ontario Visionary Establishment (LOVE), where he joined the organizing committee in 2024. The Kohler Visual Neuroscience Lab also develops experimental tools, as evidenced by GitHub repositories for stimulus generation and behavioral testing using jsPsych.

Bernhard Jennyمشاهده پروفایل

دانشیار

• Geospatial Data Visualization
• Cartography
• Computer Graphics
• +۷ مورد دیگر

Bernhard Jenny is an Associate Professor at Monash University's Faculty of Information Technology, specializing in immersive visualization and geospatial data. He holds a PhD in Cartography from ETH Zurich and has held previous roles at Oregon State University and RMIT University. His research focuses on virtual reality (VR), augmented reality (AR), and cartographic innovations for geospatial data representation. Education: Doctor of Sciences in Cartography, ETH Zurich (2010) Postgraduate Certificate in Computer Science, ETH Zurich (2005) Master of Science in Surveying, EPFL (2000) Research Interests: Combines cartography, computer graphics, and human-computer interaction to explore VR/AR applications for geospatial data. Current work includes immersive analytics, terrain visualization, adaptive map projections, and storytelling with geospatial data. Recent Articles: Focus on ambient occlusion for terrain shading, grammars for immersive visualization transitions, and AR/VR interfaces for spatial data. Awards: Henry Johns Award (2007, 2011, 2012) ETH Medal (2010) Best Paper Honorable Mentions (ACM CHI, DIS) Grants & Projects: Leads initiatives like the 'Immersive Analytics' extension and 'National Geographic Relief Shading' project. Collaborates on neural networks for cartographic relief shading and sustainable development goals (SDGs). Labs & Teams: Heads the Embodied Visualisation Lab at Monash, focusing on immersive analytics and geovisualization tools.

Siegrid Löwelمشاهده پروفایل

استاد

• Systems Neuroscience
• Neural Plasticity
• Cortical Development
• +۷ مورد دیگر

Siegrid Löwel is a Full Professor of Systems Neuroscience at the University of Göttingen, affiliated with the Department of Systems Neuroscience within the Johann-Friedrich-Blumenbach-Institute for Zoology and Anthropology. She is also a Board Member of the Göttingen Campus Institute for Dynamics of Biological Networks since 2021, highlighting her leadership in interdisciplinary neuroscience research. Her educational background includes a Dr. phil. nat. from the University of Frankfurt am Main, completed under Prof. Wolf Singer at the Max Planck Institute for Brain Research. Her career includes professorships at the University of Jena (2005–2010), a guest professorship at Magdeburg, and a research associate professorship at the University of California, San Francisco. Siegrid Löwel's research focuses on the development and plasticity of neuronal circuits in the mammalian cortex. Her lab employs optical and 2-photon imaging, electrophysiology, and viral gene knockdown to study how experience and learning shape neural networks. Her work has pivotal implications for brain regeneration and rehabilitation after injury or disease. She was among the first to demonstrate that correlated neural activity underlies long-range cortical circuit development—famously summarized as 'neurons that fire together, wire together.' The recent publications reflect a strong focus on structural and functional cortical plasticity, particularly in the visual system. Themes include silent synapses, critical period regulation, optogenetic interventions for blindness, and the impact of environmental enrichment and exercise on neural plasticity. These studies span molecular, cellular, and systems levels, contributing to both basic neuroscience and translational applications. Scientific awards and recognitions include: Hertie Excellence Program Scholarship in Neurosciences (2004–2005) Dorothea Erxleben Guest Professorship, University of Magdeburg (2003–2004) Löwel leads an active research group and is affiliated with the Göttingen Graduate Center for Neurosciences (GGNB) in multiple programs, including Systems Neuroscience and Sensory and Motor Neuroscience. She has secured long-term research support through institutional roles and collaborative networks. While specific grant details are not listed, her sustained publication record and leadership positions indicate robust funding and research activity. Her lab continues to explore mechanisms of neural plasticity with potential clinical applications in stroke recovery, amblyopia, and neurodegenerative conditions. She is associated with the research group homepage: http://systemsneuroscience.uni-goettingen.de .

Stephen Brooksمشاهده پروفایل

استاد

• Computer Graphics
• Visualization
• Human-Computer Interaction
• +۱۳ مورد دیگر

Stephen Brooks is a Professor in the Faculty of Computer Science at Dalhousie University, actively contributing to research and education in computer graphics, visualization, and human-computer interaction. He is affiliated with the Human-Computer Interaction, Visualization & Graphics research cluster and currently supervises multiple graduate students on diverse projects. PhD in Computer Science, University of Cambridge (2004) MSc in Computer Science, University of British Columbia (2000) BSc, Brock University (1998) His research focuses on computer graphics and visualization, particularly non-photorealistic rendering, image editing, 3D geospatial systems, ocean visualization, and real-time rendering of natural phenomena. He has also worked in sound synthesis and motion editing. His recent publications show a strong emphasis on visual analytics, network flow visualization, and ocean science applications. His work spans interdisciplinary domains including environmental science, genomics, cybersecurity, and digital art. He has developed visualization tools for ocean science under a major CFREF-funded initiative and created novel methods for rendering stained glass, mixed media art, rivers, and ocean surfaces. His research integrates perception, automation, and user interaction to enhance visual analysis. Notable scientific contributions include work on tone mapping optimization, uncertainty visualization using chromatic aberration, semantic object clouds, and hybrid 2D/3D GIS. His publications appear in top venues such as IEEE TVCG, ACM Transactions, and SIGGRAPH. NSERC Discovery Grants Canada First Research Excellence Fund (CFREF) NSERC CREATE Mitacs Accelerate and Globalink CFI New Opportunities Grant Cyber Security Research and Development Grant He has supervised numerous PhD, Master’s, and undergraduate students in areas including ocean visualization, tone mapping, network security, VR, and geospatial analytics. He teaches courses in Game Design, Visualization, Computer Animation, and Network Computing, emphasizing project-based and interdisciplinary learning. He leads research in visual analytics for network data (FloVis), ocean science, and mixed reality collaboration. His lab develops interactive systems for data exploration in domains ranging from marine biology to cybersecurity. Future work includes expanding ocean-first climate visualization and enhancing mixed presence collaboration in immersive environments.

Scott T. Doyleمشاهده پروفایل

دانشیار

• Biomedical Image Analysis
• Digital Pathology
• Bioinformatics
• +۷ مورد دیگر

Scott T. Doyle is an Associate Professor in the Department of Pathology and Anatomical Sciences at the Jacobs School of Medicine & Biomedical Sciences, University at Buffalo. His research integrates biomedical imaging, artificial intelligence, and computational pathology to develop quantitative tools for clinical diagnostics and anatomical modeling. Education: PhD in Biomedical Engineering, Rutgers, The State University of New Jersey (2011) BS in Biomedical Engineering, Rutgers, The State University of New Jersey (2006) Optical Microscopy & Imaging in the Biomedical Sciences, Marine Biological Laboratory (2014) hES Stem Cell Culture Training, WNYSTEM (2014) R Bioconductor Training, Roswell Park Cancer Institute (2016) Dr. Doyle’s research focuses on developing AI-driven algorithms for biomedical image analysis, particularly in digital pathology and 3D anatomical modeling. His work spans tumor segmentation, risk prediction in oral and thyroid cancers, and integration of virtual and physical anatomy in medical education. He applies machine learning, deep learning, and computational modeling to enhance diagnostic accuracy and patient outcomes. His recent publications reflect a strong trend in applying artificial intelligence to histopathology, with emphasis on active learning, 3D reconstruction, and multi-institutional data fusion. Key areas include oral cavity cancer recurrence prediction, thyroid cancer subtyping, and computational modeling of surgical margins and anatomical structures. Scientific Service and Recognition: Reviewer for NIH SPORE grants Peer reviewer for journals including Medical Image Analysis , BMC Bioinformatics , IEEE Transactions on Biomedical Engineering Program Committee and Session Chair, SPIE Medical Imaging: Digital Pathology (2016–present) Member, Graduate Program Steering Committee, Pathology & Anatomical Sciences Mentor, McNair Scholarship and CSTEP programs for underrepresented students Dr. Doyle has secured significant research funding as Principal Investigator on NIH and CTSI grants, including a $2M+ NIH grant for predicting oral cancer recurrence. He has also contributed to educational innovation through hybrid anatomy curriculum development and AI training for pathologists. He leads the 'Atoms to Anatomy' research initiative and is active in strategic planning at the Jacobs School. Laboratories and Collaborative Teams: Dr. Doyle collaborates with the Center for Computational Research (CCR) and is involved in the Structural Sciences Learning Center (SSLC). He has led projects with teams at Ibris, Inc., Veterans Affairs Hospital, and Mount Sinai School of Medicine.

• machine learning
• robotics
• machine vision
• +۹ مورد دیگر

Dr. Hamidreza Mohades Kasaei is an Associate Professor in the Department of Artificial Intelligence at the University of Groningen, Netherlands. He holds positions in both the Faculty of Science and Engineering and the Faculty of Medical Sciences/UMCG, focusing on Robotics and image-guided minimally-invasive surgery. His work bridges theoretical advances in machine learning with practical robotic applications. Dr. Kasaei's research focuses on developing algorithms for adaptive perception systems through interactive environment exploration and open-ended learning. His specific interests include 3D object perception, grasp affordance detection, object manipulation, and active perception. He has evaluated his research on various robotic platforms including PR2, UR5e, Kinova, Franka robotic arms, and humanoid robots. His work enables robots to learn from past experiences and intelligently interact with non-expert human users using data-efficient techniques. Analysis of his recent publications reveals strong trends toward increasingly sophisticated manipulation capabilities, particularly in dual-arm coordination and handling dense clutter. There's a clear progression toward integrating language models with robotic control systems, as seen in works like 'Lifelong Robot Library Learning' and 'Towards Open-World Grasping with Large Vision-Language Models.' His research consistently addresses real-world challenges in agricultural robotics, assistive technologies, and service robotics applications. Gratama Science Award (2022) Google Research Scholar Award in Machine Learning (2023) Outstanding Associate Editor for IEEE Robotics and Automation Letters (2023) Dr. Kasaei has successfully supervised multiple PhD students including Zhenxing Zhang (thesis on 'Generative Adversarial Networks for Diverse and Explainable Text-to-Image Generation') and Hamed Ayoobi (thesis on 'Explain What You See: Argumentation-Based Learning and Robotic Vision'). His research is supported by significant grants including the Google Research Scholar Award for 'Continual Robot Learning in Human-centered Environments' and various conference organization roles including workshops at RSS 2023 and NeurIPS 2022. He leads the Lifelong Interactive Robot Learning Lab (IRL-Lab), which focuses on six key research directions: Perception and Perceptual Learning, Object Grasping and Manipulation, Lifelong Interactive Robot Learning, Dual-Arm Manipulation, Dynamic Robot Motion Planning, and Exploiting Multimodality. The lab develops cutting-edge approaches for robots to learn in open-ended fashion through interaction with non-expert human users, with applications in assistive robotics for people with disabilities.

Marie Carlénمشاهده پروفایل

استاد

• Neuroscience
• Cognitive Neuroscience
• Prefrontal Cortex
• +۱۶ مورد دیگر

Marie Carlén is a Professor of Neuronal Networks at the Department of Neuroscience, Karolinska Institutet, where she leads the Neural Circuits of Cognition research group. Her work focuses on the prefrontal cortex (PFC), a brain region central to cognitive functions such as attention, decision-making, working memory, and goal-directed behavior. She employs cutting-edge techniques including optogenetics, large-scale electrophysiology, calcium imaging, and circuit tracing in rodent models to unravel the cellular and circuit mechanisms underlying cognition and their disruption in psychiatric disorders. Her academic journey began with a Ph.D. in medicine from Karolinska Institutet in 2005, followed by postdoctoral training at MIT’s Picower Institute under Professor Li-Huei Tsai. She returned to Karolinska Institutet in 2010 and was promoted to full Professor in 2022. She is also a Docent (2017) and has held prestigious fellowships including ERC Starting Grant and Wallenberg Scholar (2019, 2024). Marie Carlén's research spans systems and cellular neuroscience, with a strong emphasis on inhibitory interneurons (especially parvalbumin-expressing cells), neural oscillations, and PFC-striatum interactions. Her recent publications reveal a consistent focus on decoding prefrontal circuit dynamics, the role of specific neuron types in cognition, and comparative brain architecture. She collaborates extensively with her partner, Konstantinos Meletis, also a KI researcher. She has been recognized with numerous scientific honors: Member, Nobel Assembly at Karolinska Institutet (2025–) Member, The Royal Swedish Academy of Sciences (2024–) Wallenberg Scholar (2024, 2019) ERC Starting Grant (2013) Wallenberg Academy Fellow (2012) NARSAD Young Investigator Awards (2010, 2008) She actively mentors students and researchers, with open applications welcomed to her lab. Her work is supported by major grants, including from the Knut and Alice Wallenberg Foundation, enabling high-risk, high-reward research in brain function and disease. Her lab investigates the functional definition of the prefrontal cortex across species, develops novel tools for neural recording, and explores circuit imbalances in conditions like autism and schizophrenia. She is a strong advocate for ethical animal research and promotes gender equality in science.