Find Academic Supervisors

• Geospatial Analysis
• Urban Development
• Cartography
• +3 more

M. Schorcht is a Researcher at the Leibniz Institute of Ecological Urban and Regional Development (IOER) since 2015, working in the research group for Spatial Information and Modelling. His expertise includes programming website applications and databases, automated geodata processing, and method development for settlement development analysis such as new land use, building change detection, and densification indicators. His educational background includes: Doctoral thesis (2016-2023) at the Faculty of Forestry, Geosciences and Hydrosciences, TU Dresden, on "Spatial analysis, quantification and evaluation of developments in settlement structure based on topographic geodata". Diploma in Cartography (2007-2015) at TU Dresden. Internship (2011) at the Leibniz Institute for Regional Geography in Leipzig. Internship (2010) at ETH Zurich, Institute for Geodesy and Photogrammetry. His research focuses on geospatial methodologies for urban monitoring, combining cartographic principles with computational analysis of settlement patterns. He develops technical frameworks for processing topographic geodata to quantify urban densification and land-use transitions, contributing to ecological urban planning through empirical spatial modeling. Key projects he contributes to include: IÖR-Monitor: Foundational system for tracking settlement and open space development. ENOB DataNWG: National data collection on non-residential building stock structure and energy quality. meinGrün: Interactive application for urban green space navigation and information access. Deutsche Gesellschaft für Kartographie (DGfK): Professional society for cartography and geomatics. His work operates within IOER's Spatial Information and Modelling group, funded jointly by German federal and state governments with specific projects co-financed by Saxon State Parliament tax allocations.

• Data Management
• Database Systems
• Data Discovery
• +6 more

Raul Castro Fernandez is a prominent researcher in data management and database systems, with a focus on data discovery, integration, and marketplaces. He has collaborated extensively with leading institutions and researchers, contributing to projects like Data Station and Nexus for secure data sharing. His work bridges theoretical innovation with practical implementations in cloud optimization, differential privacy, and LLM-driven data tools. Key Contributions : Data market frameworks, LLM applications in databases, differential privacy platforms Collaborators : Yue Gong, Samuel Madden, Michael Stonebraker, Eugene Wu, Kyle Chard Research Themes Fernandez explores automated metadata management for data catalogs, spatiotemporal data sharing with privacy guarantees, and LLM-based data discovery . His work on stateful stream processing (e.g., SABER system) and cost optimization in cloud analytics shows technical depth. Recent Trends 2023-2025 publications highlight his pivot toward LLM applications in data management, including tabular data representation and hypothesis assessment tools. He also investigates sustainability in HPC through carbon credit systems.

• Data Deduplication
• Spatial Data Mining
• GPU Computing
• +3 more

Witold Andrzejewski is an active researcher in computer science, focusing on data deduplication pipelines, co-location pattern mining, and GPU-accelerated algorithms. His work bridges academia and industry, with publications analyzing customer record deduplication in the financial sector, performance optimization of spatial data processing, and comparative studies of statistical modeling versus machine learning approaches. 2025: Co-location pattern mining with Euclidean metrics 2024: Customer data deduplication parameter tuning 2023: Text similarity measures in financial applications

• Sensory control of locomotion
• Active sensing in insects
• Insect sense of touch
• +3 more

Volker Dürr is a Professor of Biological Cybernetics at Bielefeld University , Faculty of Biology, and a member of the Center for Cognitive Interaction Technology (CITEC) . His work focuses on sensory control of locomotion , active tactile sensing in insects , and biomimetic modeling of movement systems. Education : Habilitation in Zoology (University of Cologne, 2008; Bielefeld, 2005), PhD in Biology (Bielefeld, 1998), Diploma in Biology (Tübingen, 1994) Academic Career : Professor at Bielefeld (2009-present), Junior Research Group Leader (University of Cologne, 2007-2009), Research Assistant (Bielefeld, 1998-2006) His research investigates how insects use antennal mechanosensory systems and proprioception to control locomotion in complex environments. Key themes include goal-directed movements , sensorimotor integration , and biomimetic robotics . Publications emphasize tactile sensing (15/23 articles), neural control of movement (9/23), biomechanical modeling (7/23), and cross-species locomotion analysis (4/23). Recent work explores virtual reality paradigms for locomotion studies and spiking neural networks for proprioceptive modeling.

Cedric du MouzaView profile

Professor

• Database Systems
• Data Mining
• Digital Humanities
• +6 more

Cédric du Mouza is a full Professor within the CEDRIC Laboratory at the Conservatoire National des Arts et Métiers (CNAM) in Paris, France. His research activities lie at the intersection of database systems, data mining, and digital humanities, with a strong emphasis on social network analysis, knowledge base population, and spatial/temporal data management. Education details are not explicitly provided in the source material. His research interests can be summarized as follows: Database Technologies: scalable indexing, distributed repositories, spatial and temporal data structures. Data Mining & Machine Learning: community detection, influence maximization, recommender systems. Digital Humanities: prosopographic databases, historical social networks, credibility assessment of historical sources. Social Media Analytics: Twitter user profiling, early detection of popular accounts, reducing filter bubbles. Across more than two decades, Prof. du Mouza has produced a rich scholarly record that blends theoretical advances with practical applications. Recent publications (2020-2024) highlight a methodological shift toward end-to-end evaluation frameworks for knowledge base population, uncertainty modeling in historical corpora, and real-time influence maximization in advertising ecosystems. These works are published in premier venues such as SIGIR , VLDB Journal , WISE , CIKM , and leading French conferences (EGC, BDA). No specific scientific awards, funded projects, or doctoral student names are mentioned in the supplied text. Prof. du Mouza collaborates extensively within interdisciplinary teams involving historians, computer scientists, and statisticians, reflecting CEDRIC’s integrative research culture. While no dedicated laboratory or team name is provided, his continuous affiliation with CEDRIC/CNAM confirms an active and ongoing role in both research and graduate-level education.

• Formal Concept Analysis
• Machine Learning
• Semantic Web
• +3 more

Professor Dr. Tom Hanika is affiliated with the University of Hildesheim , working in the Intelligent Information Systems (IIS) division within the Institute of Computer Science. His research bridges formal concept analysis , machine learning , and knowledge representation , focusing on geometric interpretations of data and explainable AI systems. Research Themes: Intrinsic dimensionality, lattice structures, and hybrid human-AI collaboration Teaching: Offers courses in databases, C++ programming, and semantic technologies Contact: Office (SC.C. 2.03), Phone +49 5121 883-40312, Email via contact form Recent publications highlight his work on geometric data analysis and formal context manipulation , including applications in graph neural networks, ordinal pattern recognition, and conceptual lattice visualization. His Collaborative Hybrid Human AI Learning framework demonstrates practical implementations of these theories. Current projects explore dimensionality resilience in machine learning models and topic flow visualization in academic networks, reflecting his dual focus on theoretical foundations and applied knowledge systems.

• Computational Geometry
• Algorithms
• Trajectory Analysis
• +3 more

Maike Buchin is a Professor of Theoretical Computer Science / Algorithmics at the Faculty of Computer Science, Ruhr-University Bochum, where she has been serving since 2019. She also holds the position of Studiendekanin Informatik (Dean of Studies for Computer Science). Prior to her current position, she was a Visiting Professor at Technical University Dortmund (2017-2019) and a Juniorprofessor at Ruhr University Bochum (2013-2017). Dr. Buchin's research focuses on computational geometry, algorithms, and trajectory analysis. Her work particularly emphasizes Frechet distance computations, curve matching, and geometric algorithms. She has made significant contributions to understanding the computational complexity of geometric problems and developing efficient algorithms for trajectory data analysis. Her research has applications in geographic information systems, movement pattern analysis, and shape comparison. Analysis of her recent publications reveals a strong focus on clustering algorithms for polygonal curves, Frechet distance computations, and trajectory analysis. Her work bridges theoretical computer science with practical applications in GIS and movement data analysis. She has developed approximation algorithms, coreset constructions, and efficient query processing techniques for geometric problems. Her research has been published in top-tier venues including ACM Transactions on Algorithms, Computational Geometry: Theory and Applications, and proceedings of major conferences like Symposium on Computational Geometry (SoCG) and European Symposium on Algorithms (ESA). Dr. Buchin has supervised numerous students and taught courses including Algorithm Paradigms, Computer Science 2 - Algorithms and Data Structures, Computer Science 3 - Theoretical Computer Science, Geometric Algorithms, Data Structures, and seminars on Cryptology and Theoretical Computer Science. She leads research in the Theoretical Computer Science / Algorithmics group at Ruhr-University Bochum, collaborating with researchers worldwide on computational geometry problems and their applications.

Hooman LatifiView profile

Researcher

• Remote Sensing
• Forest Ecology
• LiDAR Applications
• +4 more

Dr. Hooman Latifi is a Researcher at the Institute of Geography and Geology within the Faculty of Philosophy at University of Würzburg, Germany. He also maintains an affiliation with the Faculty of Geodesy and Geomatics Engineering at K. N. Toosi University of Technology in Tehran, Iran, where he is listed as a staff member with the email address hooman.latifi@kntu.ac.ir. Dr. Latifi has been working at the Chair of Remote Sensing at University of Würzburg since June 2012. Dr. Latifi received his educational background in Iran and Germany: Doctoral studies (Dr. rer. nat) at Albert-Ludwigs-Universität Freiburg (2008-2011), funded by a DAAD scholarship under the supervision of Prof. Dr. Barbara Koch M.Sc. in Natural Resources from University of Mazandaran, Iran (2003-2005), with thesis titled "Evaluating Landsat ETM+ data for forest-ecotone-rangeland mapping in the timberline of northern forests of Iran" B.Sc. in Natural Resources from University of Guilan, Iran (1999-2003) Dr. Latifi's research focuses on the application of remote sensing technologies, particularly LiDAR and satellite imagery, to forest ecology and management. His work spans multiple areas including forest inventory, biomass estimation, biodiversity assessment, and environmental monitoring. He has made significant contributions to understanding forest structure through advanced remote sensing techniques, with particular emphasis on temperate forests in Europe and forest ecosystems in Iran. His research often involves multi-sensor data fusion, combining optical, hyperspectral, and LiDAR data to improve forest parameter estimation. Analysis of Dr. Latifi's publication record from 2005 to 2022 reveals a strong focus on forest remote sensing applications. His early work focused on forest type mapping in Iran using Landsat data (2005-2008). After his doctoral studies in Germany, his research expanded to include LiDAR applications for forest structure analysis in European forests (2010-2014). In recent years (2015-2022), his work has broadened to include multi-sensor approaches, biodiversity assessment, and applications in various forest ecosystems worldwide, including agroforestry systems in Africa and invasive species mapping. His publications appear in leading remote sensing and forestry journals such as Remote Sensing, Forests, and International Journal of Applied Earth Observation and Geoinformation. Dr. Latifi has collaborated extensively with researchers across multiple institutions, particularly with colleagues at University of Würzburg (especially Prof. Barbara Koch and Dr. Markus Heurich), as well as international partners in Iran, India, Chile, and Africa. His work demonstrates a progression from regional studies in Iran to increasingly global applications of remote sensing in forest ecology. At University of Würzburg, Dr. Latifi is part of the Earth Observation Research Cluster within the Institute of Geography and Geology. His work contributes to advancing the operational application of remote sensing technologies in forest inventory and ecological monitoring, with a particular focus on transitioning research methods to practical forest management solutions.

• Medieval Literature
• Arthurian Studies
• Heraldic Semiotics
• +4 more

Dr. Manuel Mildner is a researcher at the Institute for German Philology, Faculty of Philosophy, Julius-Maximilians-Universität Würzburg. His research focuses on medieval German literature, particularly Arthurian romances and Konrad von Würzburg's works, with expertise in heraldic semiotics and intermediality. Academic Career: Academic Counselor on Contract (since 2023), former Research Assistant at TU Braunschweig (2016–2021) Research Areas: Medieval epic poetry, literary heraldry, manuscript studies, translation cultures, and compilation poetics His 2025 monograph Wortgewandte Wappen analyzes heraldic codes in medieval literature. Current projects include a critical edition of Konrad von Würzburg’s Turnier von Nantes and organizing interdisciplinary conferences on medieval manuscripts. Scientific Awards: 2025 Dissertationspreis des Mediävistikverbands (2nd Place) 2024 Joint Dissertationspreis Universität Würzburg/Unterfränkische Gedenkjahrstiftung He contributes to editorial work (Zeitschrift Das Mittelalter ) and academic societies, including Deutsche Gesellschaft für Ästhetik and Internationale Artusgesellschaft. His recent publications explore intermedial relations in Arthurian manuscripts and translation practices in early modern Europe.

• Geoinformatics
• Geographic Information Systems
• Spatial Databases
• +3 more

Huynh Duc An Son Nguyen serves as a Researcher at the Chair of Geoinformatics within the Department of Aerospace and Geodesy at the Technical University of Munich (TUM), actively contributing to both research and teaching initiatives under Professor Thomas Kolbe's leadership. He holds a Master of Science (M.Sc.) degree, forming the foundation of his expertise in geospatial technologies. His research focuses on Geographic Information Systems (GIS), spatial data infrastructure, remote sensing applications, and cartographic modeling, with emphasis on robust geospatial data management solutions for urban planning and environmental monitoring. As an integral member of TUM's Geoinformatics research group, Nguyen collaborates on advancing spatial information science through computational methods and participates in consultation sessions by appointment at the Arcisstrasse campus location.

Hans WhitefieldView profile

Researcher

• Hillforts
• Archaeological Prospection
• Geophysics
• +4 more

Hans Whitefield M.Sc. is a Researcher at the Institute of Prehistoric Archaeology, Free University of Berlin, and Head of the Fields & Finds Laboratory. Prior roles include doctoral candidate at Christian Albrechts University of Kiel (2021–present) and fieldwork positions with institutions like Magnitude Surveys and Wessex Archaeology. Education: M.Sc. in Archaeological Prospection (University of Bradford, 2016–2017); B.A. in Anthropology (University of New Mexico, 2013–2016). His research focuses on Hillforts , Archaeological Prospection , and Geophysics , with projects involving GIS methods, Iron Age settlements, and interdisciplinary landscape analysis. Recent work includes comparative studies of fortifications in the Baltic and development of European Hillfort Information Systems. Scientific awards include the International Society for Archaeological Prospection Conference Stipend (2019) and the University of Bradford International Academic Excellence Fee Scholarship (2016–2017). His publications emphasize electromagnetic surveying, gradiometer techniques, and data integration for prehistoric settlement characterization.

• Digital Twinning
• Building Information Modeling (BIM)
• Computer Vision
• +3 more

Mansour Mehranfar is a Researcher at the Chair of Computing in Civil and Building Engineering, Technical University of Munich (TUM). He contributes to advancing AI applications in digital twinning of the built environment through the AI4Twinning research initiative, focusing on automated generation of semantic building models from point cloud data and imagery. His research centers on Digital Twinning, Building Information Modeling (BIM), and Computer Vision, with specific expertise in point cloud processing, semantic segmentation, and 3D reconstruction. He develops AI-driven frameworks that integrate deep learning with geometric modeling to convert raw sensor data into semantically enriched digital representations of buildings and infrastructure components. Recent publications reveal a strong emphasis on staircase modeling, indoor space documentation, and domain adaptation techniques. Key innovations include hybrid top-down/bottom-up approaches for Manhattan-world structures, parametric prototype model fitting, and multi-task learning frameworks that simultaneously handle scene parsing and 3D reconstruction from single images. Dr. Mehranfar actively supervises Master's theses, guiding students in topics such as load-bearing wall detection, staircase modeling automation, and BIM change management. He teaches Engineering Databases at TUM and collaborates within the university's BIM-Lab ecosystem, leveraging facilities for robotic fabrication and mobile machinery research.

Ralf WeisseView profile

Researcher

• Marine Climate
• Storm Surge Dynamics
• Ocean Wave Modeling
• +3 more

Dr. Ralf Weisse is a leading researcher at the Institute of Coastal Systems - Analysis and Modeling within Helmholtz-Zentrum Hereon, Germany. As Department Head for Coastal Climate and Regional Sea Level Changes, his work focuses on Marine climate dynamics Storm surge mechanisms Ocean wave modeling Regional sea level change analysis Climate change adaptation for coastal regions . His research spans three decades with significant contributions to understanding German Bight storm surges , Baltic Sea extreme events , and North Sea coastal dynamics . Recent work combines machine learning with Earth system models for decadal-scale predictions. Key projects include: WAKOS (2020–present): Climate services for coastal adaptation EXTREMENESS (2016–2019): Storm surge impact assessment ALADYN (2021): Tidal dynamics in German Bight His publications address compound flood events , statistical downscaling , and historical storm surge comparisons . Affiliated with Universität Hamburg and DKRZ, he applies neural networks and ensemble climate modeling to improve coastal protection strategies.

• Economic and Social History of Roman Egypt
• Textile Research
• Reception History
• +4 more

Kerstin Droß-Krüpe is a Senior Lecturer in Ancient History at the University of Kassel, specializing in Roman Egypt's economic and social structures through papyrological analysis. Her research bridges textile production, gender dynamics, and reception studies, particularly focusing on Eastern monarchs in Baroque opera. Doctorate (Marburg, 2010) and Habilitation (Kassel, 2020) Awarded Privatdozentin title by Kassel University (2020) Senior Academic Councillor at Ruhr University Bochum (2021–2025) Her scholarship explores: Textile industry organization in Roman Egypt Gender roles in ancient economic systems Cultural transmission through Baroque opera adaptations Principal-agent theory in Roman trade Persian and Semitic dress as historical narrative tools Recent publications analyze: Textile terminology standardization Tax compliance mechanisms Color symbolism in imperial documentation Lease agreements for commercial spaces Apprenticeship contracts Recognitions include: Mariann-Steegmann Foundation support for habilitation monograph Pasold Research Fund grants for textile analysis DAAD funding for international conference participation She contributes to: Academic editorial boards (GIS.science, Archaeological Textile Review) Dictionary of Techniques in Antiquity steering committee EU DressID Project sub-teams

• Database Systems
• In-Database Machine Learning
• GPU Acceleration for Databases
• +3 more

Maximilian Schüle serves as Assistant Professor in the Department of Data Engineering at the University of Bamberg's Faculty of Information Systems and Applied Computer Sciences since October 2022. Previously, he held research positions at Technical University of Munich (2017-2022). His research bridges database systems and machine learning through compiler-based approaches. His research focuses on in-database machine learning , GPU-accelerated query processing , and recursive SQL extensions . Key contributions include: Developing MLIR-based compilers for automatic differentiation in SQL (DuoLingo-AutoDiff) Creating GPU code generators for database kernels using NVRTC Designing higher-order lambda functions for expressive query languages Implementing end-to-end neural network training within database engines His recent publications (2023-2025) demonstrate consistent output in top venues including ICDE, VLDB workshops, and BTW conferences, with growing emphasis on hardware-aware optimization and compiler techniques for analytical workloads. He currently leads a DFG-funded project on elastic memory hierarchies for memory-intensive applications (2025-2028), supporting multiple PhD researchers. His supervision emphasizes open-source contributions to database systems like Umbra and practical implementation skills alongside theoretical foundations. As an active member of the database community, he serves as workshop chair for BTW 2025 and regularly reviews for ACM TODS, VLDB Journal, and Information Systems. His work on public transport analytics demonstrates real-world impact through collaborations with urban mobility initiatives in Bamberg.