جست‌وجوی استاد و پژوهشگر

Vincent Tourreمشاهده پروفایل

دانشیار

• Urban Data Visualization
• Morphological Analysis of Urban Spaces
• Natural Lighting Simulation
• +۵ مورد دیگر

Vincent Tourre is an Associate Professor in the Department of Computer Science at Centrale Nantes, affiliated with the CRENAU Research Team (UMR CNRS 6051), a joint unit involving CNRS, Université Grenoble Alpes, and multiple architecture schools. His academic career spans urban data visualization, morphological analysis of urban spaces, and natural lighting simulation. His research interests focus on Urban Data Visualization , Morphological Analysis of Urban Spaces , and Virtual Reality Applications for urban environments. Recent work examines 360° image perception, urban soundscapes classification, and immersive geospatial data visualization. Tourre's publications demonstrate consistent output in top venues including ISPRS Annals, International Journal of Geographical Information Science, and the Journal of the Acoustical Society of America. Tourre's 15 most recent articles reveal a strong trajectory in interdisciplinary urban computing , with growing emphasis on machine learning applications for urban data analysis (particularly in acoustics and visual perception) since 2020. His work increasingly integrates virtual reality with multi-sensor urban monitoring systems. As course leader at Centrale Nantes, Tourre teaches urban data analysis, scientific visualization, and knowledge representation. His research training contributions include doctoral supervision and development of the CORAULIS VR Platform for immersive urban studies. The CRENAU team's collaborative structure provides access to extensive urban datasets and interdisciplinary expertise across architecture, computer science, and environmental studies.

James D. Rileyمشاهده پروفایل

دانشیار

• Fluvial Geomorphology
• River Systems
• Watershed Management
• +۳ مورد دیگر

Dr. James D. Riley serves as an Associate Professor in the Geology/Geography Department at Eastern Illinois University, where he has established himself as a specialist in physical geography with expertise in fluvial geomorphology. His academic credentials include: Ph.D. in Geography from the University of Illinois Urbana-Champaign M.A. in Geography/Water Resources from the University of Wyoming B.S. in Environmental Management and Business Administration from Elmhurst College Dr. Riley's research program centers on process-based investigations of river systems , with particular emphasis on the complex relationships between flow structure and channel morphology at river confluences and meander bends. His work bridges fundamental geomorphological processes with practical applications for river management, examining human impacts on river systems, watershed management strategies, and innovative methodologies using hydroacoustic technology for data collection. His research demonstrates both theoretical depth and practical relevance to contemporary water resource challenges. Dr. Riley's scholarly contributions reveal consistent productivity from 2012-2018, with publications spanning fundamental investigations of natural river processes to applied studies of human impacts on fluvial systems. His work combines field observations with controlled experimental approaches and represents important methodological advancements through tools like the Velocity Mapping Toolbox. His academic contributions include: Analysis of morphodynamic processes on the Wabash River Studies of spatiotemporal dynamics at river cutoffs Investigations into human infrastructure impacts on stream morphology Examination of three-dimensional flow structures at river confluences Development of hydroacoustic measurement and analysis techniques As an educator, Dr. Riley teaches a comprehensive curriculum from introductory physical geography to specialized upper-level courses in geomorphology and surface water processes. His teaching portfolio includes field methods instruction and undergraduate research supervision, providing students with both theoretical knowledge and practical field experience essential for careers in earth sciences.

• Computer Vision
• Object Detection
• Video Object Detection
• +۷ مورد دیگر

Daniel Cores Costa is an Associate Professor of Computer Science and Artificial Intelligence at the University of Santiago de Compostela (USC) and a researcher at the Research Center on Intelligent Technologies (CiTIUS). He completed his PhD in Research in Technologies in November 2022 with a dissertation on 'Spatio-temporal convolutional neural networks for video object detection' under the supervision of Victor Manuel Brea Sanchez. Dr. Cores Costa's research focuses on computer vision with specialized expertise in several interconnected areas: Video object detection leveraging spatio-temporal information Small object detection challenges Advancing few-shot learning techniques for object detection with limited training data Developing open-vocabulary and category-free detection approaches Practical applications in medical imaging (particularly COVID-19 diagnosis) and UAV technology His recent publications (2023-2025) demonstrate a strong research trajectory with multiple first-author papers in top venues including ICCV, BMVC, and CAIP, as well as high-impact journals. Dr. Cores Costa's work consistently addresses fundamental challenges in object detection while developing practical solutions for real-world applications across various domains. Key contributions include: Development of the Downsampling GAN for small object data augmentation Innovative approaches to few-shot object detection through pseudo-label mining (xPAND) Pioneering work on category-free detection using open-vocabulary models Creation of TVBench, a new temporal benchmark for video-language models Advancements in spatiotemporal tubelet feature aggregation for small object detection Dr. Cores Costa actively collaborates with researchers both within USC and internationally, as evidenced by his diverse co-authorship patterns. His research bridges theoretical computer vision with practical implementations, making significant contributions to both academic knowledge and real-world applications in healthcare, autonomous systems, and visual recognition technologies.

Michael Laydenمشاهده پروفایل

دانشیار

• Neural Development
• Neurogenesis
• Evolution of Nervous Systems
• +۳ مورد دیگر

Michael Layden serves as an Associate Professor in the Department of Biological Sciences at Lehigh University, where his research focuses on neural development and regeneration using the starlet sea anemone Nematostella vectensis as a model system. His laboratory investigates fundamental mechanisms underlying nervous system formation in cnidarians, which represent the closest relatives to bilaterian animals. Dr. Layden's research centers on identifying evolutionary conserved mechanisms regulating neurogenesis, with particular emphasis on transcription factors like NvashA and signaling pathways such as Notch. His work bridges developmental biology and evolutionary neuroscience by comparing neural development across phylogenetically pivotal taxa. Key projects include characterizing NvashA 's role in neural development during embryogenesis and regeneration, analyzing transgenic lines to map neuronal projections, and investigating the evolutionary origins of Notch signaling in neural differentiation. His publication record demonstrates expertise in cnidarian model systems, neural specification, and comparative developmental genetics. Notable contributions include establishing Nematostella as a robust model for regeneration studies and revealing ancestral mechanisms of neural development through phylogenetic analysis. Dr. Layden maintains active research operations through the Layden Lab, which develops specialized techniques for genetic manipulation in cnidarians including mRNA/morpholino microinjection and transgenic line characterization. His work has significant implications for understanding the evolutionary origins of centralized nervous systems and developing regenerative therapies.

Tinghao Fengمشاهده پروفایل

استادیار

• Time Series Analysis
• Data Visualization
• Machine Learning
• +۳ مورد دیگر

Tinghao Feng serves as an Assistant Professor at Appalachian State University, specializing in time-oriented data analysis and visualization systems. His research develops comprehensive tools for exploring temporal patterns across environmental science, healthcare, and finance domains through innovative data mining algorithms and user-friendly software applications. His primary research interests focus on Time Series Analysis and Data Visualization, with significant contributions to Machine Learning applications. He investigates methods for visualizing complex temporal data, developing pattern recognition algorithms, and creating interactive analysis frameworks applicable to environmental monitoring, clinical informatics, and financial forecasting systems. Recent publications reveal a strong emphasis on visual analytics for temporal data, spanning environmental applications (honey bee monitoring, landslide prediction), healthcare informatics (patient messaging systems, pandemic modeling), and remote sensing. Key developments include the TimePool system for univariate time series querying and EVis for environmentally driven event analysis, demonstrating cross-disciplinary impact. Dr. Feng maintains active demonstration systems including TimePool for temporal query visualization and Polynomial Similarity Dependency Trees for linguistic structure analysis, reflecting his commitment to translating research into practical analytical tools for complex data exploration.

Tomas Kirchhausenمشاهده پروفایل

استاد

• Clathrin-mediated endocytosis
• Cellular membrane remodeling
• Structural biology
• +۵ مورد دیگر

Tomas Kirchhausen is Professor of Cell Biology and of Pediatrics at Harvard Medical School and holds the Springer Family Chair of Pediatrics. He serves as a Senior Investigator at Boston Children's Hospital where he leads the Kirchhausen Laboratory focused on cellular membrane processes and molecular trafficking mechanisms. Dr. Kirchhausen received his undergraduate degree in Biology from the Universidad Peruana Cayetano Heredia and earned his Ph.D. in Biophysics from the Instituto Venezolano de Investigaciones Cientificas. His research spans over three decades and focuses on the structure, interactions, and assembly-disassembly mechanisms of clathrin and associated proteins. Using emerging technologies from molecular cloning to high-resolution structural visualization and live-cell imaging, his laboratory has created 'molecular movies' of clathrin-mediated endocytosis. His work integrates x-ray crystallography, cryo electron microscopy, and single-molecule biophysics to understand cellular membrane remodeling processes including intraluminal vesicle formation and nuclear pore assembly. Current research leverages Lattice Light Sheet Microscopy (LLSM) and Adaptive Optics-optimized LLSM to bridge the gap between molecular events and cellular function. Analysis of his recent publications (2023-2025) reveals a strong focus on integrating advanced imaging techniques with computational approaches, particularly deep learning applications for single-particle tracking and cryo-EM data analysis. His work spans multiple disease contexts including viral infections (particularly SARS-CoV-2), neurodegenerative disorders, and cancer biology, reflecting the broad implications of membrane trafficking research. 1st Place Video at the Celldance 2008 contest of the American Society of Cell Biology Featured in The New York Times article 'The Animators of Life' (November 15, 2010) YouTube 3D movie showing immune cell migration downloaded more than 700,000 times Dr. Kirchhausen's laboratory serves as a hub for interdisciplinary research, bringing together experts in structural biology, cell biology, and advanced microscopy techniques. His work on clathrin-mediated endocytosis has provided foundational insights into cellular trafficking mechanisms that are relevant to understanding viral infection, cancer, and neurological diseases. The laboratory's development and application of cutting-edge imaging technologies continues to push the boundaries of what can be observed in living cells.