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Lucía Gómez ÁlvarezView profile

Researcher

• Computational Logic
• Ontology Engineering
• Multi-Perspective Reasoning
• +3 more

Lucía Gómez Álvarez was a Researcher at the International Center for Computational Logic (ICCL) within the Faculty of Computer Science at Technische Universität Dresden. Her primary role was as a former Research Associate in the Computational Logic Research Group. She contributed to advancing multi-perspective reasoning frameworks and ontology engineering, focusing on integrating standpoint logics with description logics (e.g., SHIQ, EL). Her work bridges formal ontology, knowledge representation, and spatial semantics, addressing challenges in semantic variability and scalable ontology management. Research Interests: Her research spans computational logic, multi-perspective reasoning systems, ontology engineering, and spatial semantics. Notable contributions include developing standpoint-enhanced logics for managing conflicting ontological perspectives and modeling polysemous spatial terms in natural language processing. She has also explored vagueness in predicates and objects, applying formal semantics to environmental and spatial domains. Teaching: She taught Advanced Problem Solving and Search courses from 2021–2023, focusing on artificial intelligence problem-solving techniques. Labs & Projects: Affiliated with the ScaDS.AI Center for Scalable Data Analytics and Artificial Intelligence, her work emphasizes practical applications of formal methods in AI systems. Collaborations include developing tools like Standpoint-OWL 2 for automated reasoning and KARaML for hybrid knowledge-machine learning systems.

Udo FeuerhakeView profile

Researcher

• Spatio-temporal Data Analysis
• Geoinformatics
• Urban Digital Twin
• +5 more

Dr.-Ing. Udo Feuerhake is a Researcher at the Institute of Cartography and Geoinformatics (IKG) within the Faculty of Civil Engineering and Geodetic Science at Leibniz University Hannover. His work focuses on spatio-temporal data analysis, urban digital twins, and transportation engineering. He holds a M.Sc. in Computergestützte Ingenieurwissenschaften from Leibniz University Hannover (2010) and has been with IKG since 2011. Research interests include voxel-based urban modeling, trajectory analysis, and mobility patterns. Notable projects involve integrating 3D geodata for urban digital twins, smartphone-based vehicle detection, and developing interactive web applications for spatial visualization. He collaborates on projects like the USEfUL logistics tool and contributes to traffic analytics dashboards (TA-Dash). Feuerhake leads and co-leads multiple theses, including work on 3D navigation path planning, parking occupancy visualization, and AR/MR applications. His research emphasizes real-world applications in smart cities, emergency response systems, and sustainable urban logistics. Key Projects: Urban Digital Twin development, smartphone sensor platforms, trajectory pattern mining Teaching: Involved in thesis supervision and module development for spatial analysis and visualization Awards: None explicitly mentioned

• Geoinformatics
• Geodesy
• Remote Sensing
• +5 more

Christoph Dold is a Researcher affiliated with the Institute of Cartography and Geoinformatics at Leibniz University Hannover. His work focuses on terrestrial laser scanning, 3D city modeling, and geodata fusion. He contributed to Prof. Brenner's Volkswagen Foundation-funded research group, specializing in automatic registration of laser scanner data. Key research interests include automated processing of point clouds, planar structure analysis, and integration of airborne and terrestrial data. His 2010 monograph on layer-based registration methods is a seminal work in the field. He received a best paper award in 2007 for work on laser scan orientation algorithms. His publications span peer-reviewed journals and conferences like ISPRS and SilviLaser, addressing urban environment modeling, 3D reconstruction, and sensor fusion techniques. Current affiliations include the Faculty of Civil Engineering and Geodetic Science, where he contributes to advancements in geoinformatics and geodesy.

• Geoinformatics
• Cartography
• Cadastral Systems
• +4 more

David Siriba is a researcher at the Institute of Cartography and Geoinformatics within the Faculty of Civil Engineering and Geodesy at Leibniz University Hannover. His expertise centers on spatial data integration and fusion, with specialized focus on cadastral systems and land administration infrastructure development. He completed his doctoral studies as a DAAD fellow at the Institute of Cartography and Geoinformatics (ikg), where his research addressed critical challenges in conflation of provisional cadastral and topographical datasets. His academic foundation combines advanced geospatial methodologies with practical applications in land administration systems. Dr. Siriba's research portfolio demonstrates exceptional depth in geospatial data quality enhancement and integration. Key focus areas include: Spatial data conflation techniques for heterogeneous datasets Geometric accuracy improvement of legacy cadastral records Automatic georeferencing of non-geospatial cadastral maps Linear feature alignment algorithms for inconsistent spatial datasets Development of survey-accurate national spatial data infrastructures His work bridges theoretical geoinformatics with real-world land administration challenges, particularly in developing contexts like Kenya where he has conducted significant field research. Analysis of his publication record (2009-2012) reveals a consistent trajectory in advancing cadastral data quality through innovative methodologies. His research demonstrates increasing sophistication in spatial transformation techniques—from foundational positional accuracy assessments to advanced thin plate splines transformations and vector potential field alignments. The work shows strong emphasis on African land administration contexts while developing universally applicable geospatial integration frameworks. Dr. Siriba conducted his research under the DAAD fellowship support at Leibniz University Hannover's Institute of Cartography and Geoinformatics, collaborating extensively with Professor Monika Sester's research group. His work remains influential in geospatial data integration methodologies despite the publication gap after 2012, suggesting potential transition to industry applications or policy development roles.

Mathias VetterView profile

Professor

• Statistics for Stochastic Processes
• Time Series Analysis
• Econometrics
• +2 more

Mathias Vetter is a Professor of Probability Theory and Mathematical Statistics at the Department of Mathematics, Christian-Albrechts-University of Kiel (since 2015). He previously held positions as W2 Professor at Philipps University of Marburg (2013–2015) and Acting W2 Professor at Johannes Gutenberg University Mainz (2012/13). He earned his Diploma in Mathematics (minor in Philosophy) from Ruhr University Bochum in 2006 and his Doctorate in Mathematical Statistics there in 2008. He conducted a research stay at the University of Chicago in 2007. His research focuses on Statistics for Stochastic Processes , Time Series Analysis , Econometrics , and Nonparametric Statistics , with applications to financial mathematics and environmental data analysis. Recent teaching includes courses on Financial Mathematics and Stochastic Integration, as well as Nonparametric Statistics during the 2025 summer semester. His publications span advanced statistical methodologies for analyzing stochastic processes, including jump activity estimation, volatility modeling, and goodness-of-fit testing. He serves as an Associate Editor for Metrika (since 2020). Since 2024, he has chaired the Senate of his university, overseeing institutional governance. Key research trends include methodological advancements in high-frequency data analysis, nonparametric inference for discontinuous processes, and the development of robust statistical tools for complex stochastic systems. His work bridges theoretical probability and applied statistics, with applications in finance, earth sciences, and econometrics.

Nico SneeuwView profile

Professor

• Geodesy
• Satellite Gravimetry
• Hydrology
• +3 more

Prof. Dr.-Ing. Nico Sneeuw is a Professor and Vice Dean of the Geodetic Institute at the University of Stuttgart's Faculty of Aerospace Engineering and Geodesy. His research focuses on geodetic applications of satellite data, particularly in gravimetry, hydrology, and remote sensing. He leads projects like STREAM and HydroSat , advancing global water storage monitoring and runoff estimation. His work integrates satellite missions (GRACE, GRACE-FO, CryoSat-2) with advanced statistical and computational methods to address climate change impacts on water resources. Key projects include developing spatial downscaling techniques for GRACE data, improving satellite altimetry waveform processing, and quantifying flood dynamics using remote sensing. He has contributed to orbital optimization for future gravity missions and pioneered probabilistic drought characterization frameworks. His research bridges geophysics, hydrology, and computational methods, with applications in environmental monitoring and disaster assessment. Publications highlight innovations in inverse problem solving, gravitational modeling, and sensor data fusion. He collaborates internationally on initiatives like the ESA St3TART project and coordinates interdisciplinary teams for satellite-derived hydrological products.

André BresgesView profile

Professor

• Physics Education
• Digital Education
• Teacher Training
• +5 more

Prof. Dr. André Bresges is a leading academic in physics education at the University of Cologne, where he serves as Managing Director of the Institute for Physics Education within the Faculty of Mathematics and Natural Sciences. His work focuses on digital education, teacher training, and inclusive pedagogy, bridging universities and schools through innovative projects like Hollywood on the Rhine . He is a member of the Department of Mathematics and Science Education and has pioneered the integration of technology in classrooms, including tablets and augmented reality. 2021: Archimedes Prize for commitment to physics education His recent research explores AI-supported data analysis, animated video methodologies, and road safety education, with publications in journals such as Frontiers in Communication and The Physics Teacher . He also contributes to open-access academic publishing and participates in international competitions like MakeX Spark and STEAMEX. Students are advised to contact him directly for thesis-related submissions.

• Astrophysics
• Gamma-Ray Astronomy
• Computational Modeling
• +3 more

Rudi Reinhardt is a researcher affiliated with the Chair of Astronomy at the University of Würzburg. His work focuses on astrophysical modeling of gamma-ray emissions, particularly the estimation of gamma-ray flux and morphology from annihilating positrons within the Local Bubble. He employs spatial modeling, Monte Carlo simulations, and differential equations in his research. His current location is Building 31 (Physik Ost), Room 01.009. Research interests include cosmic ray propagation, galactic structure analysis, and computational techniques applied to astrophysical phenomena. His recent work involves collaborations with groups like AG Siegert and utilizes data from instruments such as COSI SMEX. Contact information includes an email address and affiliations with the Emil-Fischer-Straße 31 campus in Würzburg. No academic awards or grants are explicitly listed in the provided materials.

Fiete WinterView profile

Researcher

• Acoustic Engineering
• Signal Processing
• Spatial Audio
• +3 more

Dr.-Ing. Fiete Winter is a Researcher at the Institut für Nachrichtentechnik under the Fakultät für Informatik und Elektrotechnik at Universität Rostock. His work focuses on Spatial Audio , Wave Field Synthesis , and Binaural Synthesis , with contributions to acoustic modeling, array design, and open-source tool development. He is a key contributor to the Two!Ears project, which emphasizes reproducible research and acoustic database creation. His research interests include sound field reconstruction , spatial aliasing analysis , and time-domain rendering techniques . He has developed open-source tools for sound field synthesis and contributed to the Two!Ears Database of binaural room impulse responses. His work often bridges theoretical models (e.g., geometric analysis, modal beamforming) with practical implementations in real-time systems. Recent publications highlight advancements in loudspeaker array design, spatial bandwidth limitation, and psychoacoustic evaluation of synthesized sound fields. His interdisciplinary approach integrates signal processing, psychoacoustics, and acoustic engineering to address challenges in immersive audio systems.

• Computer Arithmetic
• Algorithms
• Graph Theory
• +3 more

David W. Matula is a Professor affiliated with Southern Methodist University. His research focuses on computer arithmetic, algorithm design, graph theory, and network optimization. He has contributed extensively to hardware design for arithmetic operations, stochastic network analysis, and distributed systems. Key areas include floating-point arithmetic precision, graph partitioning algorithms, and sensor network optimization. His work spans over five decades, with notable contributions to concurrent flow problems, bipartite graph applications, and efficient arithmetic circuits. Matula has collaborated with institutions globally, publishing in top conferences like ARITH, ISMVL, and ICCCN. His research bridges theoretical computer science with practical engineering solutions, emphasizing both algorithmic innovation and hardware implementation.

Johannes SchöningView profile

Professor

• Human-Computer Interaction
• Spatial User Interfaces
• Ubiquitous Computing
• +9 more

Johannes Schöning is a Professor of Computer Science at the University of St. Gallen, Switzerland, where he leads the Human-Computer Interaction (HCI) group within the School of Computer Science. His research focuses on designing and evaluating novel user interfaces that empower individuals through human-centered technologies. His research interests span Human-Computer Interaction , Spatial User Interfaces , Virtual and Augmented Reality , Ubiquitous Computing , Accessibility , and AI in interactive systems . He applies these to domains such as public health, medical contexts, geographic information science, and space exploration. His work emphasizes user-centered design, mixed methods, and interdisciplinary collaboration to create impactful, real-world solutions. The recent publications reflect a strong trend toward accessibility in immersive environments , AI-integrated interfaces , behavior change technologies , and critical analysis of navigation systems . His work frequently appears in top-tier HCI venues like CHI, MobileHCI, and DIS, as well as interdisciplinary journals such as Nature and PLOS ONE . His scientific awards include: Best Paper and Accessibility Award at Interact 2019 Best Presentation Award at IEEE VR 2023 Multiple Honorable Mention and Best Paper Awards at MobileHCI and CHI 10-Year Impact Award for a 2011 MobileHCI paper Vodafone Research Advancement Award (2012) Johannes Schöning actively mentors students and welcomes bachelor’s, master’s, PhD, and postdoctoral researchers interested in HCI, geoinformatics, and Ubicomp. He is deeply involved in academic discourse, advocating for sustainable research culture and ethical computing practices. He leads a research lab committed to a productive, detox-free academic environment focused on innovation and rigorous inquiry.

Volker SchmidtView profile

Professor

• Probability Theory
• Spatial Statistics
• Stochastic Geometry
• +5 more

Prof. Volker Schmidt is a Professor of Applied Probability and Statistics at Ulm University's Institute of Stochastics (since 1992). His research focuses on stochastic geometry, spatial statistics, and their applications in materials science, energy systems, and geo-risks. He has supervised numerous PhD students and authored/co-authored influential books and over 150 articles. Education: PhD (Dr. rer. nat.), Technical University of Freiberg, 1979 Habilitation in Mathematics, 1991 Research Interests: Prof. Schmidt develops stochastic models for analyzing complex spatial data, including 3D microstructure analysis of materials, spatial risk modeling of tropical cyclones, and stochastic networks. His work bridges mathematics with interdisciplinary fields like engineering, physics, and environmental science. Grants & Collaborations: Lead multiple BMBF-funded projects on battery materials and stochastic modeling Cooperative projects with industries (e.g., MunichRe, France Telecom) International collaborations (e.g., University of Queensland, Charles University) Awards: Scientific Prize of the Polish Secretary of Education (2000) Merckle Research Prize (2005) Labs/Teams: Active in the Ulmer Zentrum für Wissenschaftliches Rechnen (since 2006) and leading interdisciplinary research groups in stochastic geometry and materials science.

Evgeny SpodarevView profile

Professor

• Convex and Stochastic Geometry
• Spatial Statistics
• Limit Theorems for Stochastic Processes
• +3 more

Prof. Dr. Evgeny Spodarev is a full W3 Professor of Applied Statistics and Director of the Institute of Stochastics at the University of Ulm. He holds a dual academic background from Lomonosov Moscow University (Moscow, Russia) and Friedrich Schiller University Jena (Germany), and has held prominent roles including Dean of Mathematical Studies (2013–2017). His research focuses on convex and stochastic geometry, spatial statistics, limit theorems for stochastic processes, and applications in image analysis and risk modeling. He has organized numerous international conferences and workshops, including the German-Japanese Autumn School on Time Series (2024) and the Stochastic & Integral Geometry conference (2025). Notable awards include the Merckle Research Prize (2005). His work spans theoretical contributions to applied domains like anomaly detection in 3D images and statistical methods for material science. Education: 1991–1996: Diploma in Probability Theory and Stochastic Processes, Lomonosov Moscow University 2001: PhD from Friedrich Schiller University Jena Research Interests: Convex and stochastic geometry Spatial statistics and random field analysis Limit theorems for stochastic processes Image analysis with applications to materials science Anomaly detection in 3D imaging Statistical modeling of natural catastrophes Recent Contributions: His work bridges theoretical probability with applied challenges in engineering and materials science, including geometric methods for fullerene analysis and stochastic models for traffic prediction. Current projects involve anomaly detection in spatial data (DAnoBi) and collaborations with institutions like TU Kaiserslautern. Awards: Merckle Research Prize (2005) Teaching & Leadership: Leads stochastic analysis education at Ulm, supervises graduate students, and has developed courses on stochastic processes and mathematical statistics.

• Remote Sensing
• Geoinformatics
• Environmental Monitoring
• +4 more

Prof. Katharina Anders is a Professor of Remote Sensing Applications at the Technical University of Munich (TUM), affiliated with the TUM School of Engineering and Design. Her research focuses on methodological advancements in analyzing remote sensing data for understanding Earth surface processes, particularly in natural hazards, climate change, and human-environment interactions. She holds a PhD in Geoinformatics from Heidelberg University, with postdoctoral research at TU Delft. Education: Bachelor/Master in Geography with Computer Science and Environmental Physics at Heidelberg University PhD in Geoinformatics (cum laude), Heidelberg University (2020) Research interests emphasize 4D observation techniques (3D space + time) for geo-environmental monitoring, including automated change detection in LiDAR time series and machine learning integration. Notable contributions include the '4D objects-by-change' method for spatiotemporal segmentation of geomorphic changes. Awards: Fellowship, Baden-Württemberg Stiftung (2022) Heidelberg University Digital Teaching Prize (2020) ISPRS Geospatial Week Best Paper Award (2019) Advising and Grants: While specific grants are not detailed, her work has involved collaborative projects like the LOKI initiative for infrastructure monitoring and E-TRAINEE e-learning program. No formal student advisee list is documented here. Labs/Teams: Leads the Remote Sensing Applications group at TUM, focusing on sensor data fusion, 4D analysis, and environmental modeling.

• Geographic Information Systems (GIS)
• Public Transit Systems
• Data Visualization
• +3 more

Patrick Brosi is a researcher at the Chair of Algorithms and Data Structures at the University of Freiburg. He earned his bachelor's degree in computer science from the University of Tübingen and his master's from the University of Freiburg. After working as a software developer for two years, he joined his current position in 2016 and completed his PhD in 2022. His research focuses on public transit data, geographic information systems (GIS), and algorithmic solutions for spatial data processing. Brosi has contributed to projects like Global Metro Maps from OSM data, Petrimaps, and staty, which address challenges in transit network visualization and data quality assurance. His teaching responsibilities include assisting in courses on algorithms, data structures, and programming languages such as C++. He has supervised numerous theses on topics ranging from geospatial data processing to public transit system analysis. Brosi has received recognition for his work, including Best Paper Candidate nominations at SSTD 2021 and ACM SIGSPATIAL 2018. His research emphasizes bridging the gap between theoretical algorithms and practical applications in cartography and transportation systems.