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Whittaker SchroderView profile

Assistant Professor

• Landscape archaeology
• historical and political ecology
• sociopolitical organization
• +7 more

Whittaker Schroder serves as Assistant Professor in the Department of Anthropology at the University of Florida, where he directs the Proyecto Arqueológico Bajo Lacantún in Chiapas, Mexico, and collaborates with the Florida Institute for Built Environment Resilience on socioclimatic resilience projects across multiple continents. Education: Ph.D. from University of Pennsylvania B.A. from Brown University Research Focus: Schroder investigates how communities shape landscapes to address socioenvironmental risks through historical and political ecology frameworks. His work integrates drone-based LiDAR, photogrammetry, and machine learning to analyze archaeological landscapes, emphasizing household archaeology, resilience mechanisms, and indigenous knowledge systems in Mesoamerica. Current fieldwork examines ancient Maya water management and agricultural intensification in the Lower Lacantún River region. Publication Trends: His recent research demonstrates increasing integration of remote sensing technologies with traditional archaeological methods, particularly using Google Earth Engine and UAV LiDAR for landscape analysis. Publications reveal a strong focus on Maya settlement patterns, defensive structures, and cross-cultural resource conservation, with growing emphasis on applying archaeological insights to contemporary climate vulnerability. Research Support: Ongoing: Dumbarton Oaks Research Grant (PI), Gerda Henkel Foundation Grant (PI), NASA Interdisciplinary Science Grant (co-PI) Completed: NSF grants on Maya warfare and terracing systems, American Philosophical Society Franklin Grant, Penn Museum Director’s Funds, Rust Family Foundation Field Operations: Schroder directs excavations at Benemérito de las Américas and Quiringüicharo in Chiapas under INAH permit, focusing on the Maya kingdom of Lakamtuun. His international collaborations with the Florida Institute for Built Environment Resilience develop community-based adaptation strategies in Florida, Ecuador, and Italy.

Ushenko Yuriy OleksandrovychView profile

Professor

• Information systems design
• Data mining
• Pattern recognition
• +7 more

Yuriy Ushenko is Professor and Head of the Department of Computer Science at Chernivtsi National University named after Yuriy Fedkovych. An Academician of the Academy of Engineering Sciences of Ukraine (2021), he holds a Doctor of Physical and Mathematical Sciences degree with specialization in optics and laser physics. His interdisciplinary work bridges computer science, biomedical engineering, and optical diagnostics. His educational background includes: Master of Telecommunications from Chernivtsi National University (2003, Diploma with honors) Doctor of Physical and Mathematical Sciences (2015) in specialty 01.04.05 – Optics, Laser Physics Professor title in Computer Science (2017) Professor Ushenko's research focuses on information systems design , data mining , pattern recognition , and digital image processing with specialization in laser polarimetry and interferometry . His work pioneers Mueller-matrix tomography and polarization-correlation microscopy for biomedical applications, developing computational methods to analyze biological tissues and fluids for diagnostic purposes. Key innovations include 3D digital polarization-holographic histology for myocardial damage assessment and intelligent systems for disease identification from medical images. His publication trends reveal a strong emphasis on applying machine learning to biomedical imaging and geospatial analysis, with recent work spanning transformer-based lyrics generation, polarization-singular tissue processing, and migration forecasting systems. The research demonstrates consistent translation of theoretical optics into practical diagnostic tools. Scientific recognition includes: Academician of the Academy of Engineering Sciences of Ukraine (2021) As Director of the Bukovinian Innovation Technologies Cluster (since 2019), he leads regional IT initiatives while serving as Associate Editor for the SCOPUS Q3 journal International Journal of Image, Graphics and Signal Processing . His mentorship has guided students to international awards including ICYS silver medals and EUCYS special prizes. Current projects involve developing automated intelligent systems for LLC 'KM Trade' and advancing Mueller-matrix diagnostic techniques through international collaborations with Springer and SPIE conferences. His laboratory work centers on creating computational frameworks for polarization-correlation microscopy, with active teams developing laser autofluorescence polarimetry techniques and digital image processing pipelines for biomedical diagnostics. The research group maintains strong ties with international partners in optical engineering and medical diagnostics.

• Geospatial Information Systems
• Unmanned Aerial Systems Applications
• Laser Scanning Technology
• +7 more

Prof. Dr. Ulf Kreuziger serves as a Professor in the Department of Geomatics and Geodesy within the Faculty of Electrical Engineering, Media and Computer Science at Ostbayerische Technische Hochschule (OTH) Amberg-Weiden. He holds multiple leadership roles including Lab Manager, Internship Coordinator, and Alumni Coordinator for the faculty. His work focuses on cutting-edge geospatial technologies and their practical implementations across various domains. Prof. Kreuziger's research spans numerous areas within geospatial science with primary interests in Geospatial Information Systems (GIS) , Unmanned Aerial Systems (UAS) applications , Laser Scanning and Point Cloud Processing , Augmented and Virtual Reality in geospatial contexts , and Geospatial Data Processing with Artificial Intelligence . His work bridges traditional geodesy with modern computational approaches, focusing on practical applications for rural development, smart city initiatives, and heritage preservation projects such as the digital reconstruction of the vanished Paulusbrunn village. Current research projects include the GeoDataObjektDetektor (GDOD) initiative evaluating geospatial data with AI methods, deformation monitoring of the Amberg city wall, and development of digital twins for educational institutions. His laboratory team comprises a lab engineer and several research staff members working on diverse geospatial technology applications from UAV-based land modeling to augmented reality implementations for rural development projects across Bavaria. Prof. Kreuziger maintains strong industry connections, collaborating with governmental agencies including Amt für Ländliche Entwicklung, Landratsamt, and engineering firms like fhs ingenieur gmbh on practical geospatial applications. He actively supervises numerous student theses covering topics from precision agriculture using multispectral sensors to AI-driven object recognition in point clouds, with emphasis on real-world problem solving in surveying, land management, and urban planning.

• High Mountain Geomorphology
• Arctic and Alpine Permafrost
• Applied Geophysics
• +3 more

Dr. Julius Kunz is a Researcher at the Chair of Physical Geography, Institute of Geography and Geology, University of Würzburg. He focuses on high mountain geomorphology, Arctic and alpine permafrost, and applied geophysics, with fieldwork in Northwest Canada, Swiss Alps, and Italian Alps. PhD Candidate: 2022-2025 (DFG Project) Research Assistant: 2018-present Master's Degree: Applied Physical Geography, University of Würzburg (2016-2019) Bachelor's Degree: Geography (2013-2016) His research involves multi-scale geophysical investigations (ERT, GPR, InSAR) of permafrost landscapes, glacier-permafrost interactions, and rock glacier dynamics. Recent projects include a DFG-funded study on Northwest Canada permafrost characterization and collaborations with Carleton University and Alfred Wegener Institute. Publications highlight his work on thrust moraine geophysics (2019), thaw slump dynamics (2020), and international permafrost database development (2022). Current projects integrate in-situ, geophysical, and remote sensing data across diverse alpine environments.

Alain PaganiView profile

Researcher

• Computer Vision
• Artificial Intelligence
• Image Understanding
• +6 more

Alain Pagani is a Principal Researcher and Deputy Director of the Augmented Vision department at the German Research Center for Artificial Intelligence (DFKI) . He leads a team of 10 PhD students and researchers, focusing on Augmented Reality, Computer Vision, and Machine Learning. Research Interests include 3D Computer Vision, Image-based Scene Reconstruction, Object Detection and Tracking, and Extended Reality (AR/VR) applications. His work spans both industrial and academic projects, such as the EU initiatives dAIEDGE , CORTEX² , and FLUENTLY . Scientific Awards include a Google Research Award, Best Paper Award (INI-GraphicsNet 2007 Honorable Mentions), and Best Paper Award (INI-GraphicsNet 2008 Honorable Mentions). Projects like dAIEDGE (AI at the Edge) and CORTEX² (Collaborative XR) highlight his leadership in distributed AI and real-time extended reality systems. He has also coordinated EU projects such as LARA (Outdoor AR using Galileo) and Eyes of Things (Low-power Computer Vision).

• Photogrammetry
• 3D Laser Scanning
• Virtual Reality
• +3 more

Thomas P. Kersten is a Professor at HafenCity University Hamburg within the School of Geodesy and Geoinformatics , leading the Photogrammetry & Laser Scanning laboratory. His work bridges geomatics , 3D imaging , and cultural heritage preservation through cutting-edge UAV photogrammetry , terrestrial laser scanning , and virtual reality applications. Research interests focus on: Accuracy validation of photogrammetric and LiDAR systems Low-cost 3D sensor development (e.g., Raspberry Pi-based systems) Virtual Reality for cultural heritage sites (e.g., Al Zubarah Fortress, Michaelsen House) Historical building documentation using 4D modeling Mobile mapping for archaeological and urban contexts Article trends reveal expertise in UAV-based cadastral surveying , smartphone photogrammetry validation, and multi-sensor 3D reconstruction of archaeological and architectural sites. He leads fieldwork in Portugal, Qatar, and Germany while fostering academic collaboration through conference editorship (DGPF, ISPRS workshops).

Karsten RinkView profile

Researcher

• Environmental Informatics
• Geospatial Data Visualization
• Hydrological Modeling
• +3 more

Karsten Rink is a researcher at the Helmholtz Centre for Environmental Research - UFZ in Leipzig, Germany. He leads the "Data Integration and Visualisation" project group within the Department of Environmental Informatics . His work focuses on environmental data visualization , geospatial data management , and software development for OpenGeoSys - a simulation framework for environmental processes. Key projects: OpenGeoSys Data Explorer , TESSIN VISLab , MEVA (Meteorological Data Visualization) Major collaborations: Mont Terri Underground Research Laboratory , Poyang Lake Basin , Dead Sea Water Resources Research Highlights include developing Virtual Geographic Environments for analyzing: Hydro-Meteorological Extremes in urban systems Multi-Compartment Water/Solute Dynamics in large catchments Energy-Water Nexus challenges Groundwater Balance in arid regions Technical Innovations feature Unity-based 3D visualization workflows, multi-device meteorological data validation , and cross-platform data conversion tools between OpenGeoSys, ParaView, and VTK. Publications (2023-2014) demonstrate expertise in: Environmental software frameworks Scientific visualization Hydrogeological modeling Climate-urban interactions Subsurface energy systems Water management digitization Collaborative Projects span from German Unity Anniversary visualization to Dead Sea groundwater studies , integrating with initiatives like MOSES (Modular Observation Solutions for Earth Systems) and Digital Earth .

Chris J SeegerView profile

Professor

• Landscape Architecture
• Geographic Information Systems (GIS)
• Community Planning
• +4 more

Chris J Seeger is a Professor and Landscape Architecture Extension Specialist at Iowa State University's Department of Landscape Architecture within the College of Design. His work focuses on leveraging Geographic Information Systems (GIS), participatory design, and community engagement to enhance urban walkability and infrastructure planning. He specializes in methodologies like Facilitated-Volunteered Geographic Information (F-VGI), integrating citizen input with spatial data for community-driven solutions. Key projects include the I-WALK initiative, which assesses walkability in Iowa communities through data collection and participatory mapping. His research spans over two decades, with early contributions to web-based GIS tools (e.g., VaSS Builder) and historical environmental documentation. He has collaborated with schools, municipalities, and nonprofits to produce over 50 community reports analyzing infrastructure, transportation, and public health. Seeger’s expertise bridges technology and practice, emphasizing low-tech/high-tech integration for accessible urban planning. His work often addresses challenges in rural-urban contrasts, sustainable design, and technology adoption in underserved areas.

Danielle GriegoView profile

Lecturer

• Building Integrated Solar Photovoltaics
• Building Energy Efficiency
• Participant-Driven Behavior Change via Mobile Apps
• +3 more

Dr. Danielle Griego is a Lecturer at ETH Zurich's Department of Civil, Environmental and Geomatic Engineering and Executive Director of Design++, an interdisciplinary initiative fostering collaboration across 6 departments and over 20 professors. She holds a Ph.D. from ETH Zurich (2020), focusing on building-integrated solar photovoltaics and energy efficiency through participant-driven mobile apps. Her work bridges architecture, engineering, and sustainability, with prior roles including leading Singapore’s EcoCampus program at NTU. Her research emphasizes energy-efficient building design, community solar policy, and smart urban technologies. Education: Ph.D. in Architecture and Building Systems (ETH Zurich, 2020) M.Sc. Civil Engineering (University of Colorado Boulder, 20XX) B.Sc. Architectural Engineering (University of Colorado Boulder, 20XX) Her research interests include sustainable urban energy systems, behavioral change via technology, and the integration of renewable energy into built environments. She leads Design++ to advance interdisciplinary projects with industry partners, addressing real-world challenges in energy efficiency and smart cities. Grants & Advising: No formal advisee list provided, but actively involved in supervising Design++ initiatives and teaching courses related to building energy systems and sustainable design. Labs/Teams: Design++ at ETH Zurich serves as a central hub for cross-disciplinary research and education in design innovation and sustainability.

Laura SchalbetterView profile

Researcher

• Virtual Reality Applications in Rehabilitation
• Landscape and Urban Systems Planning
• Peri-urban Landscape Design
• +3 more

Laura Schalbetter is a researcher at the Chair of Planning of Landscape and Urban Systems (PLUS) within ETH Zürich's Department of Civil, Environmental and Geomatic Engineering (D-BAUG). Her work bridges landscape architecture with cutting-edge technology through projects like REGaitVR and GLOBESCAPE , focusing on restorative environments and place-making in transformed landscapes. Education: MSc in Geomatics (ETH Zürich), BSc in Geomatic Engineering and Planning (ETH Zürich) Research interests center on virtual reality applications for gait rehabilitation, eye-tracking analysis in outdoor environments, and geospatial data integration in urban systems. Her work combines high-fidelity 3D environments with motion tracking and GIS technologies. Key publications analyze VR's role in therapeutic spaces, gaze-based interaction with geospatial interfaces, and AI-enhanced eye-tracking in landscape analysis. Recent studies examine oxygen supplementation strategies' impact on microbial communities and spatial visualization frameworks for quantum computing. Professional affiliations include: Current PhD student at ETH Zürich (since 2023) Research Assistant at PLUS (2021-2022) Student Assistant at IKG (2020) and IGP (2018-2020)

Rob KitchinView profile

Professor

• Smart cities
• Software studies
• Urban geography
• +7 more

Rob Kitchin is Professor in the Maynooth University Social Sciences Institute (MUSSI) and the Department of Geography at Maynooth University (National University of Ireland, Maynooth). Since 1998 he has directed or co-directed several flagship interdisciplinary centres, including the National Institute for Regional and Spatial Analysis (2002–2013), the Digital Repository of Ireland (2009–2017) and the All-Island Research Observatory (2005–2017), and currently leads the ERC-funded Data Stories project (2022–2027). Education PhD Geography, University of Wales Swansea (1992–1995) MSc Geographical Information Systems, University of Leicester (1991–1992) BSc (Hons) Geography, University of Lancaster (1988–1991) Research Interests Rob’s work sits at the intersection of human geography , digital geographies and urban studies . He interrogates how software, big data, algorithms and spatial media reshape cities, governance and everyday life, with particular attention to questions of social justice, ethics and power. His research clusters include smart cities and urban science, software studies and code/space, cartographic theory and dashboards, data infrastructures and practices, and social geography of Ireland. Scientific Awards Maynooth University Research Achievement Award 2018 (inaugural, university-wide) Royal Irish Academy Gold Medal for the Social Sciences 2013 ERC Advanced Investigator Award 2013 ( The Programmable City ) Meridian Book Award 2011 (Association of American Geographers) Cantemir Prize 2012 (Berendel Foundation) Elected Member of the Royal Irish Academy 2015 Media Achievement Award 2015 (AAG) Numerous national e-government and geography prizes Research Funding & Leadership Principal or co-investigator on 50 funded projects worth c. €39 million from ERC, SFI, HEA, ESRC, NSF, RIA and others. Recent roles include PI of Data Stories (ERC, €2.5 m, 2022–2027), Building City Dashboards (SFI, €2.35 m, 2016–2021) and The Programmable City (ERC, €2.31 m, 2013–2018). He previously directed the National Institute for Regional and Spatial Analysis (2002–2013) and the Digital Repository of Ireland (2009–2017). Labs, Teams & Editorial Roles Rob leads the Programmable City and Data Stories research teams at Maynooth, supervising post-docs and graduate researchers across geography, computer science and urban planning. He is Editor-in-Chief of Dialogues on Digital Society (2024–), former Managing Editor of Dialogues in Human Geography (2011–2020) and Social & Cultural Geography (2000–2009), and Editor-in-Chief of the 12-volume International Encyclopedia of Human Geography .

• 3D Geovisualization
• Augmented Reality
• User Interface Design
• +3 more

Volker Paelke is an Assistant Professor of 3D Geovisualization and Augmented Reality at the Institute of Cartography and Geoinformatics, Leibniz University Hannover. His work focuses on user interface design, mixed reality systems, and geoinformatics applications. He leads research in augmented reality visualization, location-based services, and spatial data interaction. Education background includes a PhD in 3D Illustration Design (2002) and extensive postdoctoral research in mixed reality systems. His interdisciplinary approach bridges computer science, geospatial technologies, and human-computer interaction. Research interests emphasize innovative user interfaces for geovisualization, context-aware systems, and applications of augmented reality in archaeology, education, and navigation. Key projects include the GeoScope mixed-reality device and AR-based navigation tools. Over 50 peer-reviewed publications since 2002 span topics like tag-cloud visualizations, adaptive LIDAR scanning, and agile design methods for mixed reality systems. His work frequently explores integration of software engineering and usability engineering in system development. Labs/Teams: Active in the Institute's Mixed Reality Lab and collaborates with industry partners on geovisualization tools. Advises on EU-funded projects like GeoPilot involving image-based interaction and public participation systems.

• Robotics
• Artificial Intelligence
• Autonomous Systems
• +5 more

Prof. Ferrein is a Professor at the Institute for Mobile Autonomous Systems and Robotics (MASKOR) within the Faculty of Electrical Engineering and Information Technology at Aachen University of Applied Sciences. He has taught core courses including Fundamentals of Computer Science, Robotics, Artificial Intelligence, and Robot Programming with ROS for Electrical Engineering students from 2014 to 2016, establishing himself as a key educator in applied robotics. His research spans Robotics , Artificial Intelligence , and Industrial Automation , with concentrated expertise in logistics systems, mining automation, and smart manufacturing. As leader of the Carologistics RoboCup Logistics Team, he leverages competitive robotics to develop real-world factory automation solutions, focusing on multi-robot coordination, sensor fusion, and ROS-based implementations for industrial challenges. Analysis of his 2023-2025 publications reveals a decisive shift toward solving industry-specific problems: anomaly detection in metal-textile production, autonomous vehicle control in mining, and AI-supported work system design. His work consistently bridges academic research and industrial deployment through practical ROS integrations, emphasizing human-robot collaboration and cognitive load reduction in quality control workflows. MASKOR institute serves as the operational hub for Prof. Ferrein's activities, driving initiatives like the ROS Summer School and RoboCup Logistics League participation. This environment fosters industry-academia collaboration through educational programs and competitive benchmarks that validate cyber-physical systems for factory automation, with significant contributions to mining robotics and rescue operations.

Bruno ValletView profile

Researcher

• Geographic Information Science
• Computer Vision
• Remote Sensing
• +7 more

Bruno Vallet is a Senior Researcher at IGN (French National Institute of Geographic and Forest Information) within the LASTIG lab and leads the ACTE research team since 2019. His work focuses on geospatial data processing, including LiDAR and image registration, 3D urban modeling, and computer vision applications. He contributes to projects like AI4GEO and Time Machine , specializing in large-scale point cloud analysis and structured city reconstruction. Education : Habilitation (HDR) in Geographic Information Science (Univ Paris-Est, 2016), PhD in Computer Science (Institut National Polytechnique de Lorraine, 2008), and Master's in Computer Vision (Telecom ParisTech, 2005). His research integrates surface reconstruction , semantic labelings , and uncertainty propagation , with methodologies applied to autonomous navigation and urban change detection. Recent publications emphasize data fusion, visibility computation, and deep learning for 3D scene analysis. He co-supervises PhD students and leads teaching activities at ENSG (National School of Geographic Sciences), covering image processing and 3D data structures. Bruno Vallet also chairs the ISPRS Working Group II/4 on 3D Scene Reconstruction, demonstrating leadership in photogrammetry and remote sensing communities.

• Artificial Intelligence
• Machine Learning
• Computer Vision
• +7 more

Sebastiano Vascon is an Associate Professor in the Department of Computer Science at Ca' Foscari University of Venice, with research spanning artificial intelligence, machine learning, and computer vision. His work emphasizes graph-based methods, game theory, and deep learning, applied to cross-disciplinary domains including climate change, environmental science, Polar Science, and cultural heritage restoration. His research integrates theoretical AI advances with real-world industrial applications, focusing on trajectory forecasting, time-series compression, climate risk assessment, and puzzle-based cultural heritage reconstruction. Recent publications reveal a strong trend toward solving complex environmental and archaeological challenges through neural networks, graph theory, and 3D vision, often bridging game-theoretic principles with practical AI deployment. Vascon holds significant academic service roles including Area Chair for CVPR 2025, BMVC 2025, ECCV 2024, and Program Chair for Fusion 2024. He serves as Associate Editor for Frontiers and has chaired major conferences including BMVC (2022-2024) and WACV 2021, demonstrating leadership in the global AI community.