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Torsten SattlerView profile

Researcher

• Computer Vision
• Image-based Localization
• 3D Reconstruction
• +3 more

Dr. Torsten Sattler is a computer vision researcher at RWTH Aachen University, Germany, specializing in image-based localization and 3D scene reconstruction. His work focuses on developing efficient algorithms for camera pose estimation relative to large 3D models, with significant contributions to mobile localization systems and scalable reconstruction techniques. His primary research interests include: Image-based localization and pose estimation Large-scale 3D scene reconstruction Structure-from-Motion techniques Efficient correspondence search algorithms Mobile vision applications Point cloud processing and rendering Dr. Sattler's publication record shows a clear progression from fundamental algorithm improvements to practical systems for real-world applications. His research demonstrates particular expertise in optimizing RANSAC implementations, developing direct 2D-to-3D matching techniques, and creating memory-efficient solutions for mobile devices. The trend in his work moves toward increasingly complex systems that address practical challenges in urban-scale localization and reconstruction. Award: Best Paper Award at the ICCV Workshop on Big Data in 3D Computer Vision (2013) Dr. Sattler has maintained strong collaborations with researchers including Bastian Leibe and Leif Kobbelt. His work bridges theoretical computer vision with practical applications in augmented reality, robotics, and mobile navigation systems, often providing publicly available source code and project pages to support reproducibility and further research.

• Behavioral Economics
• Consumer Behavior
• Pro-Environmental Behavior
• +4 more

Siegfried Dewitte is a Professor at the Faculty of Economics and Business Administration and Director of the BEE Research Center at KU Leuven . He serves as a member of several institutes including KIEM (Energy and Society), LIM (Mobility), and LUSI (Urban Studies). His work focuses on integrating behavioral economics with practical societal challenges.

James BrophyView profile

Professor

• cardiovascular epidemiology
• pharmacoepidemiology
• Bayesian statistics
• +7 more

James Brophy, MD, PhD is a Senior Scientist at the Research Institute of the McGill University Health Centre (RI-MUHC) and a tenured full Professor in the Department of Medicine and the Department of Epidemiology and Biostatistics at McGill University. He is affiliated with the Cardiovascular Health Across the Lifespan Program and the Centre for Outcomes Research and Evaluation at RI-MUHC, and works within the Division of Cardiology at the McGill University Health Centre. Dr. Brophy's educational background includes a PhD in Epidemiology & Biostatistics from McGill University, Cardiology/Internal Medicine training from Université de Montreal, an MD from McMaster University, and both an M.Eng and B.Eng from McGill University. His research interests span cardiovascular epidemiology, pharmacoepidemiology, Bayesian statistics, health technology assessment, economic analyses, and clinical research. Dr. Brophy has made significant contributions to the application of Bayesian methods in cardiovascular clinical trials and meta-analyses. His work often focuses on methodological issues in clinical research, including collider stratification bias, interpretation of clinical trial results, and appropriate statistical approaches for cardiovascular outcomes research. Dr. Brophy's recent publications demonstrate a strong focus on Bayesian approaches to interpreting cardiovascular clinical trials, with particular attention to antiplatelet therapy, valve replacement procedures, and methodological considerations in trial design and analysis. His work bridges clinical cardiology with advanced statistical methodologies, providing nuanced interpretations of cardiovascular evidence that consider both clinical relevance and statistical rigor. Fellow of the Canadian Academy of Health Sciences Fellow of the Canadian Cardiovascular Society FRQS chair in health technology assessment and evidence-based medicine (2008-2023) Dr. Brophy is an active contributor to methodological discussions in cardiovascular research, frequently engaging with topics of statistical interpretation, bias in clinical trials, and evidence-based medicine. He maintains an active presence in academic discourse through social media, where he discusses methodological issues in clinical research and statistical interpretation, reflecting his commitment to advancing evidence-based cardiovascular care through rigorous methodological approaches.

Isidro RiveraView profile

Associate Professor

• Medieval Iberian Literature
• Print Culture
• Book History
• +6 more

Isidro J. Rivera is an Associate Professor in the Department of Spanish & Portuguese at the University of Kansas , focusing on medieval Iberian literature and print culture. His research explores devotional reading, book history, and race in medieval contexts. He serves as Managing Editor of La corónica: A Journal of Medieval Spanish Language, Literature, and Cultural Studies and contributes to editorial boards. Education : Ph.D. and A.M. in Comparative Literature (University of Illinois at Urbana-Champaign), A.B. in Comparative Literature (Columbia University) Research Interests center on late medieval Castile, including the library of Isabel de Castilla, print culture, and strategies of publisher self-identification. His work bridges textual analysis with visual dynamics and cross-cultural interactions in Iberia. Trends in Scholarship include analyzing fifteenth-century Spanish texts like Celestina , devotional works such as La passion del eterno principe , and the intersection of race and religious identity in medieval narratives. Scientific Awards : NEH Fellow (2002), Cramer Award for Teaching (2005), multiple Travel Research Grants (2010–2019), and CTE grants. Academic Leadership includes directing Graduate Studies and Admissions at KU, organizing conferences, and advancing digital humanities through La corónica Commons.

Zacharoula PetrakiView profile

Associate Professor

• Classical Philosophy
• Ancient Greek Literature
• Plato's Dialogues
• +4 more

Zacharoula Petraki is an Associate Professor at the University of Crete, affiliated with both the Department of Philology and the Department of Classical Studies. She holds degrees from the University of Crete (Bachelor 1999) and the University of Birmingham (MA, PhD), with her doctoral work completed under Professor Andrew Barker in 2005. University of Crete – Bachelor (1999) University of Birmingham – Master's and PhD Her research focuses on the intersection of literature and philosophy in ancient Greece, particularly Plato's works. Key areas include: Plato's philosophical engagement with visual/pictorial arts Metaphor and language in Platonic dialogues Imitation theories in classical aesthetics Body-soul dynamics in Republic and Phaedo Hero cult symbolism in Platonic texts Recent publications explore Plato's assimilation of sculpture, weaving, and dance to conceptualize moral/political participation and harmony. Her work has been funded by prestigious institutions including the British Academy, Harvard University's Center for Hellenic Studies, and the University of Cambridge's Jesus College.

• Microbiology
• Streptomyces genetics
• Plasmid biology
• +5 more

Günther Muth is a Research Professor at the University of Tübingen, where he leads a research group within the Interfaculty Institute of Microbiology and Infection Medicine. He is part of the Department of Microbial Bioactive Compounds under Heike Brötz-Oesterhelt's research team, focusing on the biology of Streptomyces plasmids and conjugative DNA transfer mechanisms. Dr. Muth completed his biology diploma at Friedrich-Alexander University in Erlangen and earned his doctoral degree in genetics under Alf Pühler at the University of Bielefeld. His postdoctoral training included positions at the department of genetics in Bielefeld, Behringwerke in Marburg, and returned to Bielefeld genetics department before working as a group leader in Wolfgang Wohlleben's groups from 1994-2019. His research focuses on the unique conjugation mechanisms in Streptomyces, which differ significantly from the type IV secretion systems found in other bacteria. He investigates how plasmids transfer DNA between bacterial cells and spread throughout recipient mycelium, with particular emphasis on the TraB protein as a DNA translocase. His laboratory has developed important genetic tools including the pSG5-based thermosensitive vector family for actinomycetes research. Analysis of Dr. Muth's recent publications (2015-2022) reveals a sustained focus on Streptomyces conjugation mechanisms, with increasing use of advanced imaging techniques like fluorescence microscopy. His work has progressed from basic conjugation studies to understanding molecular details of the TraB translocase and developing genetic tools, while recently expanding into metagenomic approaches for identifying biosynthetic gene clusters and plant-microbe interactions. Within his department, Dr. Muth leads Team Muth and collaborates with other research groups including Team Brötz-Oesterhelt, Team Hughes, Team Oesterhelt, Team Sass, and Team Stegmann. His laboratory currently includes PhD student Paul, Linkon, and likely receives research funding for his work on bacterial conjugation and plasmid biology, though specific grant details are not provided in the available information.

• Human-Computer Interaction
• Educational Technology
• Computer Science Education
• +3 more

Francisco Javier Oliver Bernal is a Lecturer at the University of Deusto in Bilbao, Spain, within the Faculty of Education and Sport and the Department of Physical Activity and Sports Sciences. He teaches across Computer Engineering, Physical Activity and Sports Sciences, and Primary Education bachelor's programs, as well as the Master's in Secondary Education. He earned his Doctor of Medicine and Surgery from the University of the Basque Country. His research spans Human-Computer Interaction, Educational Technology, and Science Education, with a strong emphasis on accessibility for visually impaired users. He has developed tools for e-learning, digital resource centers, and innovative teaching methodologies in computer science and natural sciences, aiming to enhance educational experiences through technology. His scholarly output, spanning from the 1990s to 2023, demonstrates a consistent focus on technology-enhanced learning, evolving from early work in 3D interfaces and computer graphics to recent applications in health, music, and interdisciplinary educational contexts. Key trends include the integration of accessibility features, the development of domain-specific educational tools (e.g., for biology and astronomy), and responses to contemporary challenges like the COVID-19 pandemic. He has supervised multiple theses on digital accessibility and cooperative systems, though student names were not listed. Details on research grants were not provided in the available text. As a member of the eVida research group (officially recognized by the Basque Government), he contributes to projects advancing accessible educational technologies, including the ACCE project for audiovisual accessibility and READIS digital resource centers for visually impaired users.

• Moving Image Art
• Digital Art
• Experimental Film
• +11 more

Dominick M Rivers serves as Assistant Professor of Digital Art in the Department of Art & Design at Indiana State University's College of Arts & Sciences. His academic role centers on bridging historical media techniques with contemporary digital practices through teaching and creative research. His educational background includes a Master of Fine Arts (M.F.A.) from Indiana University (2023) with a major in Fine Arts, establishing foundational expertise in experimental media creation. Rivers' research investigates the materiality of obsolete technologies through lenses of sustainability and cultural preservation. His work explores analog-digital hybridity in moving image art, sound design, and alternative photographic processes, with particular emphasis on Czech New Wave Cinema influences and public access television legacies. Current projects examine how obsolete media formats inform contemporary digital art practices within globalized cultural contexts. Recent scholarly output reveals consistent exploration of signal manipulation and sustainability, demonstrated through optical sound experimentation, festival curation, and conference presentations addressing alternative processes in moving image creation. His work connects technical innovation with ecological consciousness across multiple media platforms. Bloomington Arts Projects Grant, Bloomington Arts Commission (2025) Rivers actively secures external funding for creative projects, currently serving as Principal Investigator for two Bloomington Arts Commission grants: a $3,000 Arts Project Grant (2025-present) and a $2,000 Artist Advancement Grant (2025-2027). These funds support his experimental work in obsolete technology repurposing and community-based digital art initiatives.

• Computer Vision
• Metric Learning
• Image Generation
• +3 more

Dr. Xinyu Zhang is a Research Fellow at the Australian Institute for Machine Learning (AIML), University of Adelaide's Faculty of Sciences, Engineering and Technology. Her research bridges computer vision and machine learning, focusing on image/video generation, self-supervised learning, and multimodal retrieval for human-centric AI applications. Zhang's current investigations include: Causal representation learning and multimodal integration Bayesian deep learning frameworks Video generation with temporal consistency Lightweight detection transformers Unsupervised person re-identification Analysis of recent publications reveals strong emphases on generative modeling innovations (especially video synthesis), efficient transformer architectures for real-time applications, and self-supervised representation learning. Her work frequently addresses the alignment between latent representations and human perception across vision-language tasks. Dr. Zhang co-supervises graduate students on projects involving multi-agent 3D scene generation and knowledge transfer in low-supervision learning. She serves as conference reviewer for premier venues including CVPR, ICCV, and NeurIPS, contributing to the advancement of computer vision research.

• Archival Science
• Digital Documentation
• Classification Systems
• +6 more

Sabine MAS is a Full Professor at the School of Library and Information Studies, Faculty of Arts and Sciences at the University of Montreal. Her research focuses on classification systems for digital archives, typology of contemporary archives, and user-centric information management. She has supervised 5 major theses and leads/co-leads 9 research projects including the Centre de recherche interuniversitaire sur les humanités numériques (CRIHN). Teaches courses like Introduction à l'archivistique and Diplomatique contemporaine Active in digital humanities and legal documentation fields Recipient of multiple grants from CRSH and FRQSC Research highlights include development of faceted indexing models for legal documents and studies on emotion-driven archival description. She co-edited Typologie des documents des organisations (2019) and modernized the Portail International Archivistique Francophone (PIAF). Grants include a 2024-2028 strategic research grant (FQRSC) and 2023 CRSH exploration grant for studying archival practices. Her work bridges archival theory with practical applications in digital environments.

• Chronobiology
• Lighting Science
• Sleep Research
• +3 more

Oliver Stefani is a Senior Research Associate at the Lucerne School of Engineering and Architecture (HSLU) within the Institute of Building Technology and Energy. His work focuses on the intersection of light exposure, circadian rhythms, and human health. He holds a Dr.-Ing. in Mechanical Engineering and has extensive experience in research roles spanning over two decades, including postdoctoral work at the University of Basel's Center for Chronobiology and leadership positions in visualization and lighting laboratories. Education: Dr.-Ing. (Maschinenbau), Lucerne School of Engineering and Architecture Studium Investitionsgüter-Design, Staatliche Akademie der Bildenden Künste Stuttgart Feinwerktechnik, GSO Fachhochschule Nürnberg Research Interests: Chronobiology, lighting science, melatonin regulation, circadian rhythm disruption, and the health impacts of light exposure in both natural and built environments. His work often explores wearable light-logging technology, daylight simulation, and evidence-based lighting standards. Recent Work Trends: Recent studies emphasize light's role in metabolic health, post-COVID-19 circadian hygiene, and the development of standardized lighting metrics. Collaborative projects include international efforts to improve light exposure reporting in sleep research. Awards & Affiliations: Member of the Swiss Light Society Executive Board, CIE JTC 20 Wearable Light Dosimetry committee, and jury member for Prix Lumiere and Lichtkulturrat. Active in the Good Light Group promoting health-conscious lighting practices. Advising & Grants: Leads research projects such as the IGE Innovationswettbewerb 2025/2024. His work is supported through institutional funding and collaborative grants with universities and industry partners. Labs & Teams: Formerly led the Visualization Lab at Basel's Center of Advanced Technologies and contributed to the Fraunhofer IAO's Light Fusion Lab. Currently oversees projects at HSLU's IGE Center for Integrated Building Technology.

Szymon PłotkaView profile

Researcher

• Medical Imaging
• Deep Learning
• Computer Vision
• +3 more

Szymon Płotka is a Researcher in the Medical Imaging and Robotics department at the University of Amsterdam's Informatics Institute. His work focuses on advancing prenatal care through deep learning, particularly in fetal ultrasound analysis and AI-driven medical solutions. He holds a PhD in Computer Science from the University of Amsterdam (2024), with a thesis on enhancing prenatal care via machine learning. Research Interests : Integration of deep learning techniques for medical image analysis Development of AI tools for diagnostic accuracy and clinical workflow optimization Multimodal data fusion in healthcare Real-time surgical imaging applications Recent work emphasizes fetal biometry measurements, endoscopic synthetic datasets, and real-time placental vessel segmentation. His research bridges cutting-edge AI with clinical practice, aiming to improve accessibility and efficiency in medical imaging. Key Contributions : Advances in fetal ultrasound video analysis matching human expert accuracy Pioneering synthetic endoscopic dataset generation with diffusion models Development of BabyNet++ for birth weight prediction No formal students listed, but his projects likely involve collaborations with academic teams. Active in organizing and participating in medical imaging challenges (e.g., FeTA, FetReg).

• Computer Vision
• Computer Graphics
• Machine Learning
• +4 more

Dr. Marc Habermann is a Tenured Senior Researcher and Scientific Manager of the Real Virtual Lab at the Max Planck Institute for Informatics (Department 6: Visual Computing and Artificial Intelligence). He leads the Graphics and Vision for Digital Humans research group, focusing on cutting-edge technologies in Computer Vision, Computer Graphics, and Machine Learning. His work emphasizes real-time human performance capture, photorealistic animation synthesis, and generative 3D human models derived from video data. Research Interests: Computer Vision, Computer Graphics, Machine Learning, Human Performance Capture, Non-Rigid Deformation Reconstruction, Neural Rendering, and Motion Capture. His contributions span topics like Gaussian splats optimization, sparse-view avatar synthesis, and physics-based cloth simulation. Awards: Saarland University Associate Fellow (2025) Key Publications (2025): Second-order Optimization of Gaussian Splats with Importance Sampling (arXiv) GIGA: Generalizable Sparse Image-driven Gaussian Avatars (arXiv) EVA: Expressive Virtual Avatars from Multi-view Videos (Siggraph 2025) Labs & Projects: Manages the Real Virtual Lab and heads the Graphics and Vision for Digital Humans group, advancing technologies for digital human avatars and immersive telepresence systems.

• Visual Computing
• Computer Vision
• Computer Graphics
• +11 more

James Tompkin is a visual computing researcher focusing on computer vision, computer graphics, and human-computer interaction. His lab develops techniques for image and video creation, editing, analysis, and interaction, emphasizing image and scene reconstruction from multi-camera systems and complex dynamic scenes. Applications span 2D, multi-view, and VR/AR displays. His research interests include scene reconstruction, neural rendering, light fields, time-of-flight sensors, and perceptual design for augmented reality. He works on algorithms for depth estimation, view synthesis, and interactive systems. His publications demonstrate expertise in neural fields, Gaussian splatting, and light field processing for VR/AR applications. Key themes include machine learning for scene flow estimation, efficient rendering of large-scale environments, and improving generative model stability.

Nancy ReidView profile

Professor

• Statistical Theory
• Mathematical Statistics
• Asymptotic Methods
• +6 more

Nancy Reid is a University Professor in the Department of Statistical Sciences at the University of Toronto, Canada. Her academic leadership includes roles such as OC (Order of Canada), FRS (Fellow of the Royal Society), and FRSC (Fellow of the Royal Society of Canada). She specializes in foundational statistical theory, asymptotic methods, likelihood inference, and Bayesian-frequentist comparisons. Reid's research bridges theoretical advancements and practical applications in biostatistics, machine learning, and interdisciplinary data science. Her work emphasizes robust statistical methods for high-dimensional and complex data, including contributions to partial likelihood (Cox model), saddlepoint approximations, and accuracy in directional inference. Key recognitions include the COPSS Distinguished Achievement Award, Gold Medal from the Statistical Society of Canada, and numerous editorial and advisory roles. Reid collaborates globally, delivering invited lectures at institutions like Harvard, Stanford, and the Royal Society. Reid's academic output spans over 30 years, with influential books like Theory of the Design of Experiments (with D.R. Cox) and Applied Asymptotics . Her recent focus includes replicability in data science, foundations of statistical inference, and bridging gaps between theoretical and applied statistics. She actively promotes methodological rigor and interdisciplinary collaboration through initiatives like the Canadian Statistical Sciences Institute.