جست‌وجوی استاد و پژوهشگر

• Ancient History
• Art History
• Urartian Kingdom
• +۵ مورد دیگر

Duygu DURMUŞ serves as a full-time Lecturer in the Handicrafts Department at Kazım Karabekir Technical Sciences Vocational School , Kafkas University since 2021. Her academic foundation includes a Master's Degree in History from Kafkas University (2019) focusing on Urartian burial traditions, and a BA in Archaeology and Art History from Pamukkale University (2013). Education Background: MA, History, Kafkas University, Faculty of Arts and Sciences (2016-2019) BA, Archaeology and Art History, Pamukkale University, Faculty of Humanities and Social Sciences (2009-2013) Research Expertise: Dr. DURMUŞ specializes in Ancient History and Art History with concentrated research on the Urartian Kingdom, Bronze/Iron Age archaeology, and cultural heritage of the Aras Basin. Her methodological approach blends traditional field surveys with digital reconstruction techniques, particularly examining settlement patterns, burial mounds (kurgans), rock carvings, and ancient water systems. Recent work demonstrates increasing interdisciplinary integration of historical analysis, 3D modeling, and cultural studies. Publication Trends: Her 13 publications (2022-2025) reveal a consistent focus on Eastern Anatolian archaeology, with growing emphasis on Minuahinili culture, Urartian religious practices, and cultural route mapping. The works show methodological evolution from site-specific analyses toward regional synthesis and digital documentation, particularly evident in 2024-2025 outputs. Research Projects: As active researcher in four projects: Investigation of Defense Systems in Turkish-Russian Conflicts (2025-2027) Ancient Water Systems in the Middle Aras Basin (2025-2026) Urartian Surface Surveys in Ağrı-Iğdır (2019-2022) Her fieldwork directly informs publications on settlement models and kurgan traditions. Teaching & Professional Engagement: Instructs Atatürk's Principles across multiple faculties while presenting research at national conferences including the Aras Culture and Art Symposium (2022) and Çatalhöyük Scientific Congress (2025). Her scholarly impact is reflected in 18 citations and an h-index of 3.

Sim Reaneyمشاهده پروفایل

استاد

• Agricultural diffuse pollution
• Catchment hydrological modelling
• Hydrological connectivity
• +۵ مورد دیگر

Professor Sim Reaney is a leading catchment hydrologist at Durham University , specializing in flood hazards and diffuse pollution across temperate, tropical, and mountainous environments. His research integrates simulation modeling with field measurements to advance understanding of hydrological connectivity and its role in environmental management. Professor in the Department of Geography Co-Director, Institute of Hazard, Risk and Resilience (2025–present) His work focuses on: Hydrological processes in diverse climates Development of the SCIMAP diffuse pollution risk mapping toolset CRUM3 catchment hydrological model applications Climate change impacts on water quality and flood risk Nature-based solutions for flood mitigation Recent publications highlight applications in Java (Indonesia), Nepal, and the UK, with emphasis on tropical hydrology, high-resolution microbial pollution analysis, and climate-flood interactions. His modeling approaches have informed decision-making for Defra, Environment Agency, and international stakeholders. Scientific awards include: RCUK Post-Doctoral Research Fellow (2007–2012) Multiple grants from NERC , UK Space Agency , and GCRF Current supervision includes PhD projects on flood risk reduction in Nepal, Java, and water quality modeling in the UK.

Hui Yangمشاهده پروفایل

استاد

• Artificial Intelligence
• Nonlinear Dynamics
• Smart Manufacturing
• +۷ مورد دیگر

Hui Yang is a Professor of Industrial and Manufacturing Engineering and Biomedical Engineering at Pennsylvania State University , holding the Gary and Sheila Bello Chair Professor title. He is affiliated with multiple institutions including the Penn State Cancer Institute , Clinical and Translational Science Institute , and Institute for Computational and Data Sciences . Currently serving as PI and Site Director of the NSF Center for Health Organization Transformation (CHOT) , his career includes leadership roles in professional societies such as IISE Data Analytics and Information Systems Society (President 2017-2018) and INFORMS Quality, Statistics and Reliability (QSR) society (President 2015-2016). As Associate Editor for journals like IISE Transactions , IEEE JBHI , and IEEE Transactions on Automation Science , he maintains strong editorial influence. His research integrates nonlinear stochastic dynamics with sensor-based system informatics to advance both smart manufacturing and healthcare engineering . Recent work explores digital twin technologies , blockchain applications , and AI-driven disease modeling for conditions like Alzheimer's and cardiovascular disease . Key scientific contributions include developing character-level linguistic biomarkers for early dementia detection, self-organizing network representations of cardiac systems, and privacy-preserving neural networks for Industry 4.0 environments. His research group has received significant external funding from NSF , DOE , and NIST to address challenges in heterogeneous manufacturing networks , adaptive failure prognosis , and spatiotemporal optimization . Fulbright Award in Science, Technology and Innovation (2022) IISE Fellow (2021) NSF CAREER Award (2015) Through his Virtual Learning Factory and SCOUT spatiotemporal framework , Yang bridges manufacturing analytics with health informatics , creating cross-domain methodologies for system diagnostics/prognostics , process optimization , and smart health monitoring . His Cross Recurrence Analysis Toolbox provides open-source methods for nonlinear time series analysis.

Mathieu Brédifمشاهده پروفایل

پژوهشگر

• Lidar Processing
• 3D Reconstruction
• Geovisualization
• +۵ مورد دیگر

Mathieu Brédif is a Permanent Researcher at LASTIG, Gustave Eiffel University, affiliated with the National School of Geographic Sciences (ENSG) and IGN. He serves as co-chair of ISPRS Working Group II/3 on Point Cloud Processing (2016-2020) and chaired ISPRS Working Group III/5 on Graphics and Remote Sensing (2012-2016). His academic appointments include Assistant Professor at École Polytechnique teaching Image Analysis and Computer Vision (INF573) and 3D Computer Graphics (INF443) since 2019-2020. Telecom ParisTech PhD (2005-2010) Stanford University Master in Computer Science (2004) École Polytechnique Engineering Degree (2000-2005) Brédif's research focuses on Lidar processing, 3D reconstruction, and geovisualization , with significant contributions to point cloud analysis, urban scene modeling, and historical image integration. His work bridges computer vision, photogrammetry, and geographic information systems, emphasizing practical applications in urban planning and cultural heritage. He has developed novel algorithms for point cloud inpainting, visibility estimation, and distributed 3D reconstruction. His publications reveal consistent focus on urban modeling through point cloud processing (58% of works), image-based rendering techniques (22%), and geovisualization systems (15%). The research trajectory shows increasing emphasis on deep learning applications for LiDAR data since 2016, alongside continued development of geometric algorithms for photogrammetric processing. ANR project leadership in geospatial data valorization (structurAtion et vaLorisation du patrimoinE géoGraphique - 9) iSpace&Time 4D web GIS development (5) European project participation in high-volume point cloud analysis (8) Brédif actively mentors doctoral candidates, currently supervising Melvin Hersent, Alexane Nghien, and Florent Geniet, with 8 completed PhDs including Pierre Biasutti and Murat Yirci. His laboratory work centers on the GEOVIS research team , developing the iTowns open-source framework for 3D geospatial visualization, which powers the Géoportail's 3D data engine and supports multiple ANR projects in cultural heritage visualization.

Marcus Fritzeمشاهده پروفایل

پژوهشگر

• Bat Conservation
• Ecosystem Services
• Population Ecology
• +۶ مورد دیگر

Dr. Marcus Fritze is a researcher in Applied Zoology and Nature Conservation at the University of Greifswald, with a dual affiliation since 2023 at the Competence Center for Bat Conservation Saxony-Anhalt within the South Harz Karst Landscape Biosphere Reserve. His work bridges scientific research with practical conservation applications, focusing specifically on bat ecology and conservation. Dr. Fritze's research spans multiple critical areas in bat conservation. He investigates population trends and demographic parameters through BfN-funded projects 'Threatened Data for Threatened Species' and BATTREND. A major output from these initiatives is BATLAS, an online platform for analyzing bat population data across Germany. His work addresses the 'green-green dilemma' between renewable energy expansion and wildlife conservation, particularly examining wind energy impacts on bats and the ecological consequences of light pollution. His physiological research examines hibernation (winter torpor) mechanisms in bats and how their immune systems function during this energy-conserving state, with special focus on white-nose disease. Through the F.U.N. initiative ('Forschung, Umweltbildung und praktischen Naturschutz'), he integrates research, environmental education, and practical conservation to support biodiversity. Current projects include 'Bats and Biosphere' (human-wildlife interactions) and 'Bats and Ponds' (role of water bodies in ecosystems). Analysis of Dr. Fritze's publication record reveals an interdisciplinary approach addressing conservation challenges at the intersection of ecology, immunology, policy, and technology. His work demonstrates particular expertise in developing evidence-based conservation strategies that effectively bridge scientific research with practical implementation. Dr. Fritze actively supervises numerous Master's and Bachelor's students on bat conservation topics, often in collaboration with other institutions including FH Bernburg, HTW Dresden, and TU Berlin. His current supervisees are investigating ecosystem services provided by bats in fruit orchards, urban pond habitats for bats, wind turbine mitigation measures, and spring activities of bats on orchard meadows. His collaborative approach extends internationally, such as with Universidad Autónoma Metropolitana in Colombia on jaguar conservation perceptions. Through his leadership in the Competence Center for Bat Conservation Saxony-Anhalt and various research projects, Dr. Fritze has developed effective frameworks for collaboration between scientists, amateur researchers, and volunteer conservationists. His work exemplifies how rigorous scientific research can directly inform and improve practical conservation outcomes in complex human-wildlife landscapes.

• Landscape Architecture
• Spatial Development
• Geotourism
• +۳ مورد دیگر

Dr. hab. Lidiya Dubis serves as Professor in the Department of Landscape Shaping and Design at John Paul II Catholic University of Lublin (KUL), operating within the Institute of Mathematics, Informatics and Landscape Architecture under the Faculty of Natural and Technical Sciences. Her institutional address is Konstantynów 1 H, 20-708 Lublin, with active supervision of diploma theses and research projects focused on Eastern European spatial dynamics. Her research centers on landscape architecture and spatial development, investigating how terrain morphology and geodiversity shape urban-rural planning. She examines tourism potential in protected areas, particularly Ukraine-Poland border regions, with emphasis on geotourism infrastructure and sustainable development. Her interdisciplinary approach integrates geomorphological analysis with practical spatial planning applications across Carpathian and Polesie ecosystems. Publication analysis reveals consistent focus on transboundary geotourism development, with recurring themes of geological heritage conservation and climate-terrain interactions. Her work bridges academic research and policy through the Polish Academy of Sciences' Task Force for Rural Areas, demonstrating practical application of landscape architecture principles in regional development contexts. Professor Dubis has supervised over 40 diploma theses (2016-2021) on spatial development concepts for Polish communes, village planning, and water reservoir tourism. Her research collaborations span Ukraine and Belarus, notably in the planned international Polissia Geopark project. She actively participates in conferences like the International Scientific Conference 'Geography, Economics and Tourism' while contributing to national spatial planning frameworks. As member of the Polish Academy of Sciences' Task Force for Rural Areas, she influences national spatial development policies. Her current work emphasizes transboundary cooperation for geological heritage conservation, particularly through the Ukraine-Poland-Belarus Polissia Geopark initiative, while addressing climate change impacts on landscape evolution in Eastern European regions.

• Geoinformatics
• Cartography
• Geodetic Science
• +۵ مورد دیگر

Prof. Monika Sester is a distinguished Professor and Executive Director of the Institute of Cartography and Geoinformatics at Leibniz University Hannover, within the Faculty of Civil Engineering and Geodetic Science. She also serves as Spokesperson for the Leibniz Research Center FZ:GEO and holds multiple leadership roles including Faculty Information Officer (FIO) for the Faculty of Civil Engineering and Geodetic Science, Ombudsman for Good Scientific Practice, and Exchange Coordinator for Geodetic Science and Geoinformatics. Her research focuses on the intersection of geospatial information science, cartography, and urban mobility. Prof. Sester's work spans several key areas: Geospatial data processing and analysis Cartographic representation and visualization Urban mobility and transportation systems Spatial data uncertainty and quality Digital mapping technologies and applications Historical map analysis and interpretation Prof. Sester's recent publications demonstrate a strong focus on applying advanced computational techniques to geospatial problems. Her work shows increasing emphasis on machine learning applications for map analysis, urban mobility optimization, and 3D spatial modeling. She has been particularly active in researching applications of deep learning for historical map interpretation, urban mobility patterns, and spatial uncertainty visualization. Her contributions to the field have been recognized through leadership positions in major research initiatives: Executive Director, Institute of Cartography and Geoinformatics Spokesperson, Leibniz Research Center FZ:GEO Faculty Information Officer, Faculty of Civil Engineering and Geodetic Science Ombudsman for Good Scientific Practice Member of multiple academic committees including the Admissions and Examination Board Prof. Sester actively collaborates with students and researchers across multiple projects focused on geospatial information systems, urban mobility, and cartographic visualization. Her leadership extends to guiding research directions within the Leibniz Research Center FZ:GEO, which brings together interdisciplinary expertise to address complex spatial challenges.

Romain Raveauxمشاهده پروفایل

دانشیار

• Image Analysis
• Machine Learning
• Structural Pattern Recognition
• +۵ مورد دیگر

Romain Raveaux is an Associate Professor at the LIFAT Computer Science Laboratory, University of Tours, affiliated with Polytech Tours. His research focuses on Image Analysis, Machine Learning, Structural Pattern Recognition, Graph Matching, Graph Neural Networks, Discrete Optimization, Reinforcement Learning, and Transfer Learning . Email: romain.raveaux@gmail.com , romain.raveaux@laposte.net Address: 64 av. Jean Portalis, Tours, France, 37200 Phone: +33 (0)2 47 36 14 27 Research Interests Graph Matching and Neural Networks Discrete Optimization for Pattern Recognition Transfer Learning in Graph-Based Models Historical Document Analysis Scientific Trends His recent work bridges Graph Neural Networks with Mixed-Integer Programming , focusing on Image Semantic Segmentation and Graph Cycle Detection . Earlier studies emphasize Genetic Algorithms for graph classification and Graph Edit Distance optimization in pattern recognition.

Helmia Adita Fitraمشاهده پروفایل

استادیار

• Migration
• Urban and Regional Planning
• Regional Development
• +۳ مورد دیگر

Helmia Adita Fitra serves as an Assistant Professor in the Department of Urban and Regional Planning at Sumatra Institute of Technology (ITERA), Indonesia, and concurrently pursues doctoral studies at Humboldt University Berlin's Geography Department. With academic roots at Diponegoro University, she has been integral to ITERA since 2016, progressing from junior lecturer to her current faculty position while maintaining active research and administrative engagement. Her educational foundation: Bachelor's Degree in Urban and Regional Planning, Diponegoro University Master's Degree in Urban and Regional Planning, Diponegoro University Fitra's research centers on migration dynamics and regional development, with deep expertise in socio-spatial segregation, community resilience, and participatory planning. Her work bridges theoretical urban studies with practical Indonesian contexts, particularly examining how communities navigate energy crises, industrial transformations, and pandemic-induced migration. She employs geospatial methodologies to analyze urban morphology and social behavior patterns in rapidly developing Southeast Asian cities. Her publication portfolio reveals consistent focus on Lampung Province case studies, integrating geographic information systems with socio-economic analysis. Key thematic threads include urban spatial restructuring, MSME adaptation to Industry 4.0, community energy resilience, and residential segregation drivers. Notable honors include: DAAD-GCSMUS doctoral scholarship (2021) DAAD-GCSMUS pre-doctoral scholarship (2020) Two competitive research grants from ITERA (2017, 2018) Cultural exchange scholarship at Catholic Kwandong University (2014) As a journal reviewer and research group member at ITERA, she contributes to academic discourse while advancing her doctoral thesis on pandemic-era return migration in Lampung. Her professional networks span the Global Center of Spatial Methods for Urban Sustainability, Indonesian Planner Association, and Asian Cities Climate Change Resilience Network, reflecting her commitment to sustainable urban futures. Fitra maintains active collaboration through ITERA's Research Group of Innovation, Planning and Governance of Regional Development, where she investigates governance frameworks for resilient regional planning in Indonesia's evolving urban landscapes.

Santiago Aurelio Motaمشاهده پروفایل

مدرس

• Climate Resilience
• Urban Design
• Landscape Architecture
• +۳ مورد دیگر

Santiago Aurelio Mota is a Lecturer and transdisciplinary educator, designer, and researcher at Harvard University's Graduate School of Design and the John A. Paulson School of Engineering and Applied Sciences. His work focuses on climate change adaptation, urban resilience, and equitable futures through collaborations with government entities, multilateral organizations, and social groups across Latin America and the United States. Education: Architecture degree from Universidad Nacional Autónoma de México (UNAM); Master’s degrees in Design Engineering and Design Studies focused on Energy and Environment (MDE + MDS EE) from Harvard University. At the intersection of architecture, urban design, landscape architecture, and urban ecology, Santiago integrates advanced geospatial data analysis and visualization. He has led holistic urban projects like La Unidad Market in Cancún and Plaza Central Sisbichén in Yucatán, emphasizing social equity and extreme heat adaptation. His consultancy with the Inter-American Development Bank involves mapping climatic futures of cities, while prior collaborations with firms like Utile and Practice Landscape address ecological revitalization and resilience planning. Professional affiliations include the Ecological Society of America, North American Cartographic Information Society, and credentials as a registered FAA Small Unmanned Aircraft System (sUAS) operator and heavy machinery operator in Mexico and France.

Brian R. Tooneمشاهده پروفایل

استادیار

• Web Engineering
• Software Engineering
• Trust and Security
• +۶ مورد دیگر

Brian R. Toone serves as an Assistant Professor in the Department of Mathematics and Computer Science within Samford University's Howard College of Arts and Sciences. A native of Hoover, Alabama, he teaches in Samford's growing computer science program with a focus on one-on-one student interaction. Toone holds a BS in Computer Engineering from Clemson University and both MS and PhD degrees in Computer Science from the University of California-Davis. His educational background prepared him for a career that blends academic research with practical software development experience. His research spans multiple areas of computer science with particular focus on web engineering, software engineering, trust and security systems, programming languages, database applications, and parallel processing. Toone is actively working to apply software engineering concepts to web application development and optimization, with special interest in bringing parallel computation capabilities to web applications. He is currently building a virtual supercomputer by networking department computers to donate idle processing cycles across campus. His publication history reveals consistent research in trust mediation for distributed information systems, with significant work between 1998-2008. His research evolved from control flow prediction in high-performance computing (1998) to web engineering and Ajax applications (2006-2008), showing adaptability to changing technology landscapes. Toone is an active member of professional organizations including the Association for Computing Machinery (ACM) and the Institute for Electrical and Electronics Engineers (IEEE). His research has been presented at numerous conferences including the ACM Mid-Southeast Chapter, Alabama Academy of Science, and various security and information systems conferences. Beyond academia, Toone is a competitive cyclist who has participated in major endurance cycling events including Paris-Brest-Paris (2023) and Race Across America (2017), where he raised awareness for Duchenne Muscular Dystrophy through the Ride4Gabe initiative.

• Remote Sensing
• Hyperspectral Image Processing
• Spatial Data Analysis
• +۶ مورد دیگر

Associate Professor Xiuping Jia is a faculty member at the School of Engineering and Information Technology, The University of New South Wales at Canberra, Australia. She has been with the institution since 1988, holding the position of Associate Professor with expertise in remote sensing and image processing. Xiuping Jia earned her B.Eng. degree from the Beijing University of Posts and Telecommunications in January 1982. She later completed her Ph.D. in electrical engineering and a Graduate Certificate in Higher Education from The University of New South Wales, Australia, in 1996 and 2005, respectively, through part-time study. Her primary research interests focus on remote sensing , hyperspectral image processing , and spatial data analysis for remote sensing applications. Her work spans various aspects of image processing including image registration, image correction, feature mining and learning, and spectral-spatial based classification. She has made significant contributions to subpixel mapping through spectral unmixing techniques and super resolution reconstruction approaches. Professor Jia is the coauthor of the widely recognized textbook Remote Sensing Digital Image Analysis (Springer-Verlag, 3rd and 4th editions) and the author of Field Guide to Hyperspectral/Multispectral Image Processing (SPIE, 2022). Her recent publication record shows a strong focus on deep learning applications for hyperspectral image analysis, with numerous papers in top journals including IEEE Transactions on Geoscience and Remote Sensing, IEEE Transactions on Neural Networks and Learning Systems, and IEEE Transactions on Pattern Analysis and Machine Intelligence. Her work demonstrates a progression from traditional image processing techniques to cutting-edge deep learning approaches for remote sensing applications. Professor Jia has made substantial contributions to the field of remote sensing with highly cited publications (as evidenced by her Google Scholar profile). Her research bridges theoretical developments with practical applications in remote sensing data analysis. She has supervised numerous research projects and students in the areas of remote sensing, hyperspectral image processing, and spatial data analysis. Her work has been supported by various research grants focusing on advanced image processing techniques for remote sensing applications. Professor Jia's research activities involve collaboration with multiple research teams working on remote sensing applications, hyperspectral data analysis, and geospatial information systems. Her work contributes significantly to the advancement of remote sensing technologies and their practical implementation in various environmental and urban monitoring applications.

• Scan-to-BIM
• Geomatics
• Building Information Modeling
• +۷ مورد دیگر

Maarten Bassier is an Assistant Professor (tenure track) at KU Leuven, affiliated with the Department of Civil Engineering within the Faculty of Engineering Technology. He is based at the Geomatics unit operating at the Ghent and Aalst Campuses. His academic profile combines research, teaching, and institutional service, with significant contributions to the field of digital construction technologies. As senior academic staff, he serves on both the Council of the Faculty of Engineering Technology and the Civil Engineering Department Council, actively participating in institutional governance while maintaining a robust research program focused on Scan-to-BIM methodologies and geospatial applications in construction. Dr. Bassier's research centers on Scan-to-BIM methodologies, which involve converting 3D scans of existing buildings into Building Information Models. His work bridges geomatics, computer vision, and civil engineering, with applications in construction progress monitoring, infrastructure inspection, and heritage documentation. He applies machine learning techniques to automate aspects of the modeling process, particularly semantic segmentation of point clouds and integration of UAV (drone) data. His research increasingly incorporates deep learning approaches for object detection, segmentation, and completion in complex built environments, with practical applications spanning road construction, bridge inspections, and electrical substation modeling. His interdisciplinary approach connects civil engineering with computer science to solve practical construction challenges through digital innovation. Bassier's recent publication record demonstrates a strong focus on automating the Scan-to-BIM process through advanced computational techniques. His work spans multiple application domains while maintaining a consistent methodological thread of integrating sensing technologies with semantic understanding of construction environments. The trajectory of his research shows increasing sophistication in machine learning applications, moving from basic point cloud processing to complex semantic understanding and automated model generation. His publications appear in high-impact journals across civil engineering, remote sensing, and computer vision domains, reflecting the interdisciplinary nature of his work. SESAME - Semantic Segmentation of Electrical Substations and Derived Models for Engineering (2024-2026) - Promotor UAV-assisted bridge inspections (2022-2027) - Co-promotor XR-empowered dynamic reality modeling for AECO applications (2021-2026) - Co-promotor Digitization in road construction: automating as-built models (2020-2026) - Co-promotor SCAN-to-BIM Automation of as-built BIM production through digitization and machine learning (2020-2025) - Co-promotor As a member of the Division Digital and Sustainable Civil Engineering and the Subdivision Geomatics Ghent, Dr. Bassier contributes to KU Leuven's research ecosystem focused on digital transformation in civil engineering. His teaching portfolio includes courses on BIM, industrial measurements, Scan-to-BIM, 3D modeling, and geomatics, preparing the next generation of civil engineers for the digital construction landscape. His work represents the cutting edge of digital construction technologies, with practical applications that address real-world challenges in infrastructure development and maintenance.

Kimon Krenzمشاهده پروفایل

پژوهشگر ارشد

• Spatial data science
• Space syntax
• Urban health
• +۱۵ مورد دیگر

Dr. Kimon Krenz is a Senior Research Fellow at the Bartlett School of Architecture, University College London, where he works at the Space Syntax Laboratory. As a spatial data scientist and urban health researcher, his work focuses on the spatial determinants of health and inequality. He has developed novel methodologies to measure individual-level environmental exposures and link them to large-scale health datasets, resulting in internationally recognized publications. With over £9 million secured in research funding, he bridges architecture, urban planning, and public health through interdisciplinary collaboration. Doctorat, University College London (2018) Master of Science, University College London (2013) Bachelor of Science, University of Applied Sciences (2012) Recognized by the HEA as a Fellow (2017) Dr. Krenz's research centers on using computational methods to quantify and analyze the built environment to study how space shapes human behavior, particularly focusing on how spatial data science can uncover social, health, and spatial inequalities. His expertise lies in spatial data science and space syntax, with particular emphasis on advanced computational methods to analyze and model the built environment and its use. His work informs evidence-based planning and public health interventions, often working with cohort studies, primary and secondary health data, and in data anonymization and secure research environments. His research spans urban morphology, environmental exposure, network analysis, and the intersection of architecture with public health. Analysis of Dr. Krenz's recent publications reveals a consistent focus on the relationship between urban form and health outcomes. His work employs sophisticated spatial analysis techniques to measure environmental exposures across multiple domains including air quality, road traffic, greenness, public transport, food environment, and street centrality. He frequently works with the Born in Bradford cohort study, examining how spatial factors influence mental health, social isolation, childhood obesity, and common mental disorders. His methodological contributions include developing innovative approaches to measure individual-level environmental exposures and creating taxonomies of urban form. ATQ03 - Recognised by the HEA as a Fellow (2017) Dr. Krenz has extensive teaching experience since 2014 as a Course Coordinator, Tutor, and Teaching Fellow for MSc programmes at UCL, specializing in spatial analysis, GIS, and urban health. He has supervised student projects including field trips to Rio de Janeiro and Venice, with a focus on informal settlements. His research funding includes projects such as ActEarly – Healthy Places, Connected Bradford Health and Environment, Migrant Mobility and Access to Public Urban Resources, and the Urban Dynamics Lab. He combines a flipped classroom approach with active learning and real-world applications in his teaching methodology. Dr. Krenz leads and participates in the Space Syntax Laboratory seminars series and is actively involved in the Urban Dynamics Lab at UCL, which is part of a five-year EPSRC-funded research project exploring questions at the intersection of city and regional economic development and urban modeling.

Nicola Carboniمشاهده پروفایل

استادیار

• Ontological Modeling
• Cultural Heritage Data Management
• Digital Humanities
• +۳ مورد دیگر

Nicola Carboni is an Assistant Professor at the School of Information Sciences at the University of Illinois. His research bridges Ontological Modeling , Cultural Heritage Data Management , and Digital Humanities , focusing on formalizing knowledge structures for heritage objects and visual culture. Key Affiliations : School of Information Sciences (University of Illinois), Visual Contagions Project, CIDOC CRM research. Research Themes : Develops ontological frameworks for spatiotemporal data, cultural heritage documentation, and semantic modeling of art exhibitions. His Ontological Patterns methodology has advanced semantic web applications in cultural heritage, particularly through projects like the Buon Fresco Digital Atlas and Ethiopian Rock Church Documentation . Recent work explores Twentieth-Century Illustrated Periodicals and Art Reproduction Circulation using digital tools. Publications span Journal of Open Humanities Data , Artl@s Bulletin , and conferences like MTSR 2024 , emphasizing Knowledge Graphs , Visual Analysis , and Digital Preservation . Collaborates with researchers including B. Joyeux-Prunel, G. Bruseker, and L. de Luca.