جستجوی استاد راهنمای دانشگاهی

Karsten Lambers is Professor of Digital and Computational Archaeology at the Faculty of Archaeology, Leiden University, where he leads research and teaching in the application of computational methods to archaeological data. His work integrates machine learning, remote sensing, text mining, and citizen science to advance archaeological prospection and heritage management. He is affiliated with the Department of Archaeological Sciences and plays key roles in research groups and university-wide initiatives such as SAILS and ARCHON. His research interests span Digital Archaeology , Machine Learning in Archaeology , Remote Sensing , Geoarchaeology , and Human-Environment Interaction . He investigates how computational tools can extract meaningful archaeological information from large datasets, including LiDAR imagery and excavation reports. His fieldwork spans Central Europe and Latin America, with a focus on prehistoric landscapes and cultural heritage. The analysis of his recent publications reveals a strong trend toward automated detection using deep learning (e.g., R-CNN, WODAN), named entity recognition in archaeological texts (e.g., ArcheoBERTje), and citizen science integration for data validation. His work bridges archaeology with computer science, geomatics, and environmental science, emphasizing interdisciplinary collaboration and methodological rigor. His scientific awards include: Best Thesis Award (University of Zurich, 2005) EUROPA NOSTRA Award (2020, 2022) Membership in the German Archaeological Institute (since 2022) Lambers actively supervises students and leads major research projects such as ABMA, EXALT, and Heritage Quest. He has secured substantial research funding and collaborates widely with computer scientists, geophysicists, and palaeoecologists. His teaching includes digital methods, modeling, and simulation, often linked to ongoing research. He has also contributed to open educational resources and digital textbooks in archaeology. He leads or participates in several research labs and teams, including the Digital Archaeology Research Group (which he chairs), the Heritage Quest citizen science project, and interdisciplinary teams focusing on alpine terraces and Iraqi prospection. His work emphasizes the integration of digital tools into practical archaeological workflows, advocating for complementary human-computer strategies.

• Digital Archaeology
• Computational Archaeology
• Machine Learning in Archaeology
• +۱۳ مورد دیگر

Marcus Gerhold is an Assistant Professor in the Formal Methods and Tools group at the University of Twente's Faculty of Electrical Engineering, Mathematics and Computer Science. His research focuses on model-based testing for software reliability in critical infrastructures, particularly railway systems, alongside significant contributions to game design and programming language analysis. His educational background includes: PhD in Computer Science from University of Twente (2018): Choice and Chance: Model-based Testing of Stochastic Behaviour MSc in Mathematics from Friedrich Schiller Universität Jena (2013): Embeddings of Weighted Morrey Spaces BSc in Mathematics from Friedrich Schiller Universität Jena (2011): Entropy-, Approximation- and Kolmogorov Numbers on Quasi-Banach Spaces Gerhold's research integrates theoretical model-based testing with practical critical infrastructure applications . His work on railway conformance testing addresses EULYNX controller validation, while his game design research explores affective mirroring in NPCs and procedural dungeon generation. The code modernity analysis stream leverages static analysis to quantify legacy code evolution across languages like Python and PHP, revealing version identification challenges through deep learning. Publication trends show consistent focus on model-based testing methodologies (40%), railway safety applications (25%), and innovative game design/code analysis (35%). Recent work increasingly incorporates AI/ML techniques for UML assessment and Python version identification, while maintaining rigorous formal methods foundations. He actively mentors 63 students across all academic levels and contributes to major research initiatives: STORM_SAFE (ERDF, 2024): Daily Supervisor for WP1/WP2 on software reliability for critical infrastructures ZORRO (KIC grant, 2023): Daily Supervisor for WP4 on zero downtime in cyber-physical systems MISSION (MSCA RISE, 2021-2025): Interim coordinator (early 2024) for space systems modeling As part of the Formal Methods and Tools research group, Gerhold participates in European collaborations while serving on SAC-SVT 2024 and FormaliSE 2023 program committees.

• Model-Based Testing
• Software Reliability
• Critical Infrastructures
• +۷ مورد دیگر

Konstantin Klein is a Visiting Professor at the University of Amsterdam 's Faculty of Humanities, specializing in History, European Studies, and Religious Studies. His research focuses on Late Antiquity, particularly the intersection of epigraphy, religious history, and urban development in Constantinople and Jerusalem. Research interests include: Epigraphic analysis of ancient Semitic inscriptions Digital humanities applications in text restoration Urban spatial organization in religious contexts Material culture of Late Antique cities Gender roles in epigraphic patronage Recent publications demonstrate expertise in: Machine learning for damaged inscription recovery Comparative urbanism of Byzantine capitals Analysis of Palmyrene funerary art Epigraphic patterns in Christian holy sites Interpretation of Late Antique decay processes Gender-regulated epigraphic expressions

• Late Antiquity
• Epigraphy
• Religious History
• +۳ مورد دیگر

Dr. Sanne Frequin is an Assistant Professor in Art History at Utrecht University within the Faculty of Humanities. Her work bridges traditional art historical research with digital methodologies. Academic coordinator of the Master’s program in Art History Board member of the Utrecht University Teaching Academy (T@UU) Coordinator of the Digital ArtLab Her research focuses on digital and 3D reconstruction of medieval and early modern art , particularly lost or damaged artefacts. Key projects include: The 3D reconstruction of Guy of Avesnes’ tomb Digital analysis of the Lindau Master’s panel painting Development of the #MedievalMe serious game She actively engages in science communication through: Radio appearances (NPO Radio 1’s De Wild in de Middag , OVT ) Collaborations with heritage institutions (Museum Catharijneconvent, KB National Library) Public projects like the Medieval Meme Machine

• Digital Art History
• 3D Reconstruction
• Technical Art History
• +۵ مورد دیگر

Prof. dr. Lambert Schomaker is a Full Professor of Artificial Intelligence at the University of Groningen, leading the Artificial Intelligence and Cognitive Engineering (ALICE) institute within the Faculty of Science and Engineering. His work spans perceptual intelligence, machine learning, and neuromorphic computing, with significant contributions to handwriting recognition, robotics, and historical document analysis. Affiliations: Bernoulli Institute, CogniGron (Cognitive Systems & Materials), and Data Science & Systems Complexity (DSSC) centers. Education: M.Sc. (1983) and Ph.D. (1991) in Psychophysiology/Psychology from Nijmegen University. Research Interests: AI, pattern recognition, neural networks, autonomous systems, and applications in cultural heritage (e.g., the MONK system for handwritten archive indexing). He has pioneered handwriting recognition methods used in modern devices like tablets and led the 30MEuro Target project for large-scale data mining. Grants & Projects: Includes NWO-funded initiatives (e.g., Catch, TriGraph) and EU projects (MANTIS, MANIC). Current focus areas include neuromorphic computing with electronic materials and AI-driven analysis of the Dead Sea Scrolls. Awards: IBM Faculty Awards (2011, 2012), IAPR Best Paper Award (2012), Ching Yee Suen Special Award (2012). Advising: Supervised over 20 PhD students in AI, robotics, and document analysis. Active in industry collaborations (e.g., HP, Microsoft). Labs/Teams: Director of ALICE, contributor to CogniGron, and leader of the MONK system team. Current research includes neuromorphic hardware development and AI applications in maintenance systems.

• Artificial Intelligence
• Pattern Recognition
• Machine Learning
• +۶ مورد دیگر

Kerstin Bunte is a Professor of Machine Learning for interdisciplinary data analysis at the University of Groningen, affiliated with the Faculty of Science and Engineering and the Bernoulli Institute's Intelligent Systems Group. She holds an Honorary Fellowship at the University of Birmingham and leads the Intelligent Systems Group. Her research focuses on interpretable machine learning, interdisciplinary applications (e.g., astrophysics and biomedical data), and visualization techniques. Research Interests: - Machine Learning - Artificial Intelligence - Explainable AI (XAI) - Interpretable Models - Dimensionality Reduction - Data Visualization - Astrophysical Data Analysis - Medical Imaging Awards & Grants: - DSSC XS funding (2023) - NWO VIDI grant (2020) - Rosalind Franklin Fellowship (2016–present) Advising & Students: Supervised PhD students include Elisa Oostwal, Janis Norden, Matteo Marcantoni, and Petra Awad. Research spans topics like tumor segmentation in medical imaging, astrophysical structure detection, and autonomous navigation systems. Labs & Collaborations: Leads the Intelligent Systems Group, collaborating with institutions like the University of Birmingham and the University of Warwick. Work involves interdisciplinary projects combining machine learning with astronomy, biomedical sciences, and robotics.

• Machine Learning
• Artificial Intelligence
• XAI (Explainable Artificial Intelligence)
• +۷ مورد دیگر

Hugo Ledoux is an academic affiliated with the Faculty of Architecture and the Built Environment at Delft University of Technology, specializing in Urban Data Science. His research focuses on 3D geospatial modeling, including CityGML standards, terrain analysis, and automated reconstruction of urban structures. He has contributed to projects like the DeltaDTM coastal terrain model and the cjdb database solution for CityGML. Education: Not explicitly detailed in text, but inferred through academic roles and publications. Research interests emphasize 3D geoinformation systems, remote sensing applications, and urban data science. His work addresses challenges in 3D city models, building reconstruction, and geospatial validation tools like Val3dity. Recent efforts include improving global terrain models using ICESat-2 and GEDI lidar data. Publications span automated building reconstruction workflows, terrain accuracy assessments, and semantic-guided facade modeling. Awards include the Best Presentation at 3DGeoInfo 2020 and the U.V. Helava Award for Best Paper in 2011. Ledoux has supervised 4 academic works and actively participates in conferences, editorial activities, and open-source software development for geospatial applications. Labs/Teams: Involved in TU Delft’s 3D geoinformation research, contributing to tools like 3dfier and CityJSON for 3D data interoperability.

• 3D Geoinformation
• Urban Data Science
• Remote Sensing
• +۳ مورد دیگر

Maarten Loonen is an Associate Professor in Arctic and Antarctic Studies at the University of Groningen's Faculty of Arts, with a dual appointment at Campus Friesland. He serves as the station manager of the Netherlands Polar Station on Spitsbergen (http://www.poolstation.nl), where he conducts critical research on Arctic ecosystems. His academic journey includes earning a BKO basic qualification in education from the University of Groningen in 2017. Loonen's research focuses on Arctic ecology with particular expertise in geese, reindeer, arctic foxes, polar bears, terns, grass ecosystems, and bird migration patterns. His work is highly relevant to understanding climate change impacts in polar regions, with his research fingerprint showing strong connections to goose studies, barnacle geese, Branta species, goslings, spring ecology, reindeer, breeding sites, and flyways. His recent publications (2024-2025) demonstrate a multidisciplinary approach, spanning ecology, climate science, geospatial analysis, and environmental education. These works collectively reveal trends in Arctic environmental change, migration pattern shifts, technological applications in polar research, and historical human impacts on Arctic ecosystems. His research output shows increasing integration of technology like machine learning with traditional ecological field studies. Officer of the order of Orange Nassau (2021) Member of the Norwegian Scientific Academy for Polar Research (2014) Loonen actively contributes to numerous international committees including as Chair of the NyAlesund Science Managers Committee (since 2016), the Bird Assessment Committee for Schiphol airport, and the Scientific Advisory Committee for the Bird Protection Society. He has served as Dutch representative to CAFF (Conservation of Arctic Flora and Fauna) since 2000. His work spans academic research, policy advising, and public engagement on Arctic issues, with significant media presence discussing climate change impacts in polar regions. His leadership extends to managing the Netherlands Polar Station on Spitsbergen and organizing scientific expeditions to Svalbard. Through these roles, he coordinates international research efforts and facilitates access to critical Arctic research infrastructure for scientists from multiple countries.

• Arctic ecology
• Wildlife biology
• Bird migration
• +۵ مورد دیگر

Dries Daems serves as Assistant Professor in Spatial Digital Humanities at Vrije Universiteit Amsterdam's Faculty of Social Sciences and Humanities within the Art and Culture, History, Antiquity department, while also holding a Visiting Professor position at Helsinki University. His archaeological expertise spans the Iron Age to Hellenistic Mediterranean with methodological specialization in computational approaches. His research integrates digital humanities with classical archaeology, focusing on social complexity through agent-based modeling, network science, and spatial analysis of material culture. Key interests include urbanism dynamics, artisanal production networks, and human-environment interactions, particularly through pottery studies and socio-ecological simulations. This interdisciplinary approach bridges traditional archaeological methods with advanced computational techniques. Recent publications demonstrate a clear trend toward methodological innovation in archaeological science, with emphasis on quantifying connectivity through ceramic networks, validating archaeological datasets via simulation frameworks, and developing open computational platforms for modeling past societies. These works consistently apply network theory and spatial analysis to Mediterranean material culture. SSH Open Competition XS Grant (2025) Daems leads significant research initiatives including the 3D-CERA-ML project for machine learning analysis of archaeological ceramics and the ModelPlaza platform for socio-ecological simulations. His collaborative projects involve international teams across Europe and Turkey, with funding supporting computational infrastructure development and methodological standardization in digital archaeology. Current courses include Mobility and Interaction in the Ancient Mediterranean and Digital Practice in Archaeology. As core faculty at VU Amsterdam's Network Institute, he contributes to interdisciplinary research infrastructure while organizing academic events like the CAA2025 workshop. His work emphasizes open science through platforms like ModelPlaza that provide shared simulation environments for archaeological research communities.

• Archaeology
• Digital Humanities
• Computational Modeling
• +۷ مورد دیگر

Petra Awad is an external researcher at the Faculty of Science and Engineering , University of Groningen , Netherlands, specializing in Astronomy . Her work bridges astrophysical research with computational methods, focusing on galaxy clusters, globular clusters, and cosmic structure. Key Research Areas: Globular Cluster Physics, Galaxy Clusters, Tidal Tails, Cosmic Web, Dwarf Galaxies, Machine Learning in Astrophysics Publication Trends include advanced studies on galaxy evolution in cluster environments, tidal disruption phenomena, and Euclid mission contributions to photometric pipelines and cluster analysis. Her work employs N-body simulations, deep spectroscopy, and machine learning for cosmic structure mapping. Collaborations span international teams like the S5 Collaboration and Euclid Consortium, with data contributions to the Centre de Donnees Strasbourg (CDS).

• Globular Cluster Physics
• Machine Learning Applications
• Galaxy Clusters
• +۵ مورد دیگر

Daniella Vos is an Assistant Professor in Spatial Data Analysis at the Faculty of Spatial Sciences, University of Groningen , specializing in integrating human-environment interactions through advanced spatial methodologies. Her career spans from Near Eastern prehistorian to GIS expert, with a focus on ephemeral site analysis and urban environmental studies. University of Groningen (2019-present) Geodienst lead scientist (2017-2019) PhD in Geoarchaeology (Bournemouth University) Current research develops spatial analysis frameworks for interdisciplinary human-environment studies, particularly in urban contexts and ecological impacts. Previously focused on Neolithic subsistence patterns in Jordan through soil and phytolith analysis. Recipient of Nederlandse Dataprijs (2018) for PAN project. Key publication themes include: Bayesian machine learning in archaeology Urban green space planning Dengue epidemiology mapping Phytolith reference collection development Ephemeral site detection techniques Anthropocene interdisciplinary approaches Active in public engagement through Anthropocene summer school and media contributions on urban gender representation and Bedouin cultural continuity.

• Spatial Data Analysis
• Archaeology
• Environmental Studies
• +۳ مورد دیگر

Hans Peeters is an Associate Professor at the University of Groningen's Faculty of Arts, specializing in Archaeology of Northwestern Europe within the Groningen Institute of Archaeology. His research focuses on hunter-gatherer societies, wetland archaeology, landscape archaeology, and material culture studies, with particular emphasis on the submerged landscapes of Doggerland in the North Sea. PhD from University of Amsterdam (2007) Former specialist in lithic technology at the National Heritage Agency (Amersfoort) Project leader for major excavations including Almere-Hoge Vaart and Urk-E4 Peeters' research interests center on Mesolithic-Neolithic land-use dynamics, innovative heritage management approaches, and the study of submerged prehistoric landscapes. His work explores how hunter-gatherer societies adapted to changing environments, particularly in wetland and coastal contexts. He has pioneered methodologies for investigating drowned landscapes and their archaeological potential, contributing significantly to our understanding of prehistoric Northwest Europe. His recent publications reveal a strong focus on Doggerland research, with multiple publications examining this submerged landscape that once connected Britain to continental Europe. His work spans traditional archaeological methods, geoarchaeological approaches, and innovative digital techniques including machine learning applications for artifact analysis. Peeters frequently addresses the challenges of archaeological heritage management in submerged and threatened landscapes. As an active supervisor, Peeters has guided numerous PhD candidates through their research on topics ranging from 3D GIS data modeling to hunter-gatherer land-use dynamics and lithic technology. He serves as Principal Investigator for major research projects including 'Resurfacing Doggerland' (2021-2026) and 'EDAN: The Emergence of Domestic Animals in the Netherlands' (2020-2024), securing significant funding from the Netherlands Organisation for Scientific Research (NWO). Peeters directs the 'Resurfacing Doggerland' project team, which brings together specialists from multiple disciplines including archaeology, earth sciences, and biological sciences to investigate human-environment interactions in this drowned postglacial landscape. His collaborative approach extends to international partnerships focused on North Sea prehistory research and management frameworks.

• hunter-gatherer archaeology
• wetland archaeology
• landscape archaeology
• +۵ مورد دیگر

Xander Wilcke is a Research Associate at the Faculty of Science, VU University, with affiliations to the Artificial Intelligence Research Associate group and the Network Institute. His work focuses on machine learning applied to knowledge graphs, data mining, and multimodal data analysis. He holds a PhD in Machine Learning for Heterogeneous Knowledge Graphs from VU University (2022). Research Interests: Machine Learning on knowledge graphs, multimodal data integration, pattern discovery, and archaeological data analysis. His work emphasizes user-centric approaches and end-to-end learning frameworks for heterogeneous data. Recent projects include hypothesis creation support systems and timestamp vectorization techniques. Awards: Best-Paper Award Nominee at KDIR 2020 ICT.OPEN Best Poster Presentation Award (Runner-up, 2018) Advising & Grants: Contributed to the development of the kgbench dataset collection Recipient of grants supporting knowledge engineering and data mining research Active in academic collaborations, presenting at conferences like SEMANTICS 2024 and organizing workshops on social-historical knowledge graph analysis. Teaches courses on Knowledge Representation and Machine Learning for Graphs at VU University.

• Machine Learning
• Data Mining
• Knowledge Representation
• +۵ مورد دیگر

Dr. Maarten J J E Loonen is an Associate Professor of Arctic Ecology at the University of Groningen's Faculty of Arts, with over 25 years of field experience studying migratory birds and climate change impacts in the Arctic. He serves as Manager and Scientific Director of the Netherlands Arctic Station on Spitsbergen and holds leadership positions in multiple international Arctic research initiatives including CAFF (Conservation of Arctic Flora and Fauna) and SIOS (Svalbard Integrated Arctic Earth Observing System). Loonen's research focuses on Arctic ecology, particularly the behavior and migration patterns of geese and Arctic terns, and how climate change affects polar ecosystems. His work examines the complex interactions between migratory birds, vegetation, and other Arctic species like reindeer and Arctic foxes. He pioneered innovative research methods, including implementing crowdfunding to track Arctic tern migration routes using geolocators. His research has significant implications for understanding global ecological changes, as the Arctic serves as an early indicator of climate impacts. His publication record shows consistent productivity with research spanning from 2002 through 2025, with recent work focusing on migratory timing, Arctic flyways, permafrost dynamics, and the ecological consequences of climate change. Loonen led the largest Dutch polar expedition in history to the east side of Spitsbergen in 2015, which was repeated in 2022, and participated in a 2014 expedition to Jan Mayen island with the Dutch Navy. Officer of the order of Orange Nassau (2021) Member of the Norwegian Scientific Academy for Polar Research (2014) Loonen actively engages in science communication and policy, serving on committees for BirdLife Netherlands and the Netherlands Ornithological Union. His work contributes to multiple UN Sustainable Development Goals related to climate action and life on land. He has supervised numerous research projects and mentored early-career scientists through field expeditions and collaborative research. As Station Manager of the Netherlands Arctic Station on Spitsbergen, Loonen oversees an important hub for international Arctic research. He collaborates extensively with researchers across Europe and beyond, contributing to large-scale interdisciplinary projects that integrate biology, archaeology, and climate science to understand the rapidly changing Arctic environment.

• Arctic ecology
• Bird migration
• Climate change impacts
• +۵ مورد دیگر

R.T. Wiersma is a researcher affiliated with the Faculty of Electrical Engineering, Mathematics and Computer Science at Delft University of Technology , specializing in Computer Graphics and Visualisation . Their work bridges computer science, applied mathematics, and computational geometry. Research interests include: Geometric deep learning 3D surface analysis Computer vision for cultural heritage High-performance computing algorithms Neural network adaptation for geometric data Recent publications demonstrate expertise in: Intrinsic learning on curved surfaces Geometric multigrid methods Art restoration through computational imaging Vanishing point detection in computer vision Active collaborations with researchers like E. Eisemann and K. Hildebrandt highlight their contributions to algorithm development and computational art analysis.

• Computer Science
• Applied Mathematics
• Machine Learning
• +۷ مورد دیگر