Find Academic Supervisors

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
• +13 more

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
• +7 more

Dr. Jasmijn van Gorp is a Senior Lecturer in the Department of Media and Culture Studies at Utrecht University's Faculty of Humanities. She specializes in Digital Humanities , Audiovisual Heritage , and Digital Culture with a focus on Television History and Eastern European Media . As co-founder of the CLARIAH Media Suite, she develops digital research infrastructure for audiovisual heritage in the Netherlands. PhD in Social Sciences from the University of Antwerp (Belgium) MA in Communication Sciences from KU Leuven (Belgium) Her research examines digital methods for film and television studies , metadata in digital archives , and AI-generated analysis of broadcast schedules . She leads projects like Re-Frame (2021-2025) and AI TaDa , exploring the reuse of audiovisual archives in journalism and algorithmic metadata generation. Recent work includes tutorials on Data Visualization and Flow Analysis using the Media Suite. She advocates for critical digital tool literacy in education and co-authored the Digital Skills learning trajectory for Utrecht's BA programs. Her teaching includes Digital Television History and Programming and Curation at BA and MA levels, supervising theses in film and television studies. As workpackage leader for CLARIAH-PLUS WP5 , she integrates computer vision , automatic speech recognition , and linked data into sustainable tools for cross-media research. She trains researchers via the Media Suite Learn initiative and collaborates on digital infrastructure projects with institutions like NISV and CLARIAH.

• Digital Humanities
• Media and Diaspora
• Media History
• +5 more

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
• +3 more

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
• +6 more

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)
• +7 more

Roles and Affiliations: Daniel Redhead is an Assistant Professor at the University of Groningen (since 2023) within the Department of Sociology and the Inter-university Center for Social Science Theory and Methodology (ICS). He concurrently serves as a Guest Researcher at the Max Planck Institute for Evolutionary Anthropology's Department of Human Behavior, Ecology and Culture. Previously, he held roles including Group Leader (2020–2023) and Postdoctoral Research Fellow (2018–2020) at the same institute, and Visiting Researcher at the University of Illinois at Urbana-Champaign (2017–2018). Education: PhD in Psychology (2015–2018), University of Essex Masters by Research (MA) in Anthropology (2014–2015), Durham University BA (Hons) in Archaeology and Anthropology (2011–2014), Durham University Research Interests: Redhead focuses on cultural evolution, human behavioral ecology, social hierarchy, and social network analysis . His work examines how social structures, cooperation, and inequality emerge in diverse contexts—from rural Colombian communities to foraging societies in the Congo Basin. He employs advanced statistical methods and computational models to analyze complex social systems. Articles Trends: His recent publications emphasize methodological innovations (e.g., Bayesian network analysis, STRAND software), cross-cultural studies of cooperation and status, and interdisciplinary approaches bridging anthropology, evolutionary biology, and sociology. Awards: Human Behavior & Evolution Society Margo Wilson Award (2024) NSF HNDS Program Co-PI Grant ($400,000, 2022) Leakey Foundation Research Grant (2025) Teaching & Grants: Redhead teaches courses on Solidarity & Social Contexts and Methodology & Data Collection at the University of Groningen. He actively secures grants as PI/Co-I, including multi-million-dollar NSF and ESRC funding.

• Anthropology
• Evolutionary Biology
• Psychology
• +5 more

Dr. Imar de Vries is an Assistant Professor at the Department of Media and Culture Studies , University of Utrecht, specializing in Media and Performance Studies . His research focuses on historical and contemporary innovation discourses around wireless technologies, digital media, and virtual/augmented reality . He coordinates the BA program Communication and Information Studies and is a fellow of media lab SETUP , while also serving on the supervisory board of media lab Impakt . Research Interests: Media Archaeology Digital Humanities Urban Media Interfaces Communication Desires in Technology Mobile Telephony and Identity Technological Imaginaries Scientific Awards & Affiliations: Fellow of media lab SETUP Member of the Supervisory Board of Impakt media lab Education & Career: After initial studies in Information and Computing Sciences (1993), de Vries shifted to Theater, Film, and Television Studies, graduating in 2002 with a thesis on virtual 3D worlds and mobile telephony. He completed his PhD in 2008 on communication desires in wireless media discourses, published as Tantalizingly Close (Amsterdam University Press).

• Augmented Reality
• Media Archaeology
• Virtual Reality
• +9 more

Sjoukje van der Meulen is an Assistant Professor of Modern and Contemporary Art History in the Department of History and Art History at Utrecht University's Faculty of Humanities. She holds a PhD from Columbia University (2009) and has previously taught at Columbia University, University of Illinois at Chicago, University of Oregon, and University of Amsterdam. She was selected as Rudolf Arnheim Visiting Professor 2020-2021 at Humboldt University in Berlin. Her educational background includes a master's degree from Columbia University's Department of Art History and Archaeology, where she studied with Professor Rosalind Krauss, and a doctoral degree in architectural history and theory under Professors Kenneth Frampton and Andreas Huyssen. Dr. van der Meulen specializes in modern and contemporary art from circa 1850 to the present day. Her research spans several interconnected areas: New Media and Digital Culture, examining the impact of digital technologies on art production and reception Globalization discourse with a special focus on contemporary Chinese art in a global context Art in the European Union since the 1992 Maastricht Treaty, analyzing cultural policy and artistic practice The intersection of art history with postcolonial studies, globalization studies, European studies, and media studies Art and digital culture, particularly the challenges posed by AI for art and society Her recent publications demonstrate a consistent focus on the relationship between art, globalization, and social issues. She has written extensively on Chinese contemporary art, European biennials, and the impact of digital culture on artistic practice. Her work often bridges theoretical analysis with concrete case studies of contemporary art practices. Dr. van der Meulen has received several prestigious recognitions: Aspasia Award (January 18, 2018) Outstanding Peer Reviewer Acknowledgment (January 7, 2021) Rudolf Arnheim Guest Professorship (2020) Beyond her academic work, Dr. van der Meulen has served as editor and art critic for Metropolis M and co-editor-in-chief of Stedelijk Studies. She has extensive experience as a museum educator, lecturer, and guide for the Stedelijk Museum and Van Gogh Museum, working in four languages: Dutch, English, German, and French. She regularly contributes to media discussions on contemporary Chinese art and has upcoming engagements including a Visiting Scholar position at Tongji University in Shanghai (2025-2026).

• Modern Art History
• Contemporary Art History
• New Media and Digital Culture
• +5 more

Chiara Piccoli is a Research Fellow and Data Scientist at the University of Amsterdam, holding dual appointments at the Faculty of Humanities' Department of Archaeology and the university's Data Science Centre. She also works at the 4D Research Lab where she applies computational methods to archaeological problems. Her research spans the intersection of archaeology and digital technologies, with particular expertise in 3D modeling, GIS mapping, and data visualization for historical contexts. She specializes in Classical Greek architecture and urban contexts, developing innovative methods for visualizing ancient cityscapes and architectural heritage through procedural generation techniques. Her recent publications demonstrate a strong focus on bridging traditional archaeological methods with advanced computational tools. The 2024 edited volume she contributed to explores space syntax, natural language processing, photogrammetry, and virtual reality applications for architectural heritage, reflecting her commitment to interdisciplinary approaches that transcend traditional disciplinary boundaries in heritage studies. Dr. Piccoli's technical expertise is evident in her development of CityEngine rule sets for GIS-driven symbology of survey finds and Classical Greek architecture, which she has made publicly available through GitHub repositories. Her work enables more intuitive analysis of architectural survey data and facilitates the creation of alternative reconstruction hypotheses for ancient urban environments.

• Archaeology
• Digital Humanities
• 3D Modeling
• +6 more

Taylor Annabell is a postdoctoral researcher at Utrecht University School of Law, affiliated with the Molengraaff Institute for Private Law and the Governing the Digital Society focus area. She contributes to the ERC Starting Grant HUMANads project, collaborating across legal, computer science, and media studies disciplines to examine platform governance and creator economies. PhD from King’s College London MSc in Communication Studies from Auckland University of Technology Former Research Associate at University of Leeds and Sheffield Research Themes : Her work interrogates platform society , focusing on: Platform governance mechanisms Influencer monetization practices Digital memory work through Spotify/Instagram User-agent interactions with algorithmic systems Legal frameworks for platform accountability Discursive constructions in digital spaces Recent Publications : 2025 articles span TikTok monetization ethics, influencer labor rights, memory assemblages, and DSA compliance challenges. Earlier works (2019-2023) analyze postcolonial commemoration, pandemic memory practices, and digital cultural identity. Methodological Expertise : Employs ethnography, narrative inquiry, scroll-back methodology, and policy analysis. Collaborates with multidisciplinary teams across Europe, including ERC-funded researchers and EU Commission consultants.

• Platform Governance
• Influencer Culture
• User Practices
• +4 more

Dr. Evelyn Wan is an Assistant Professor in Media, Arts, and Society at Utrecht University’s Department of Media and Culture Studies. She serves as Programme Coordinator for the MA Arts and Society program, teaches courses on contemporary performance practice, cultural theory, and research methodologies, and contributes to interdisciplinary curriculum innovation in Humane AI. Her research bridges decolonial media studies, performance studies, and AI ethics, weaving alternative genealogies between historical technologies and contemporary AI. Education Research MA Media and Performance Studies (cum laude, Utrecht University, 2014) MA Gender Studies (cum laude, Utrecht University, 2011) Bachelor of Social Sciences (Government and Laws, First Class Honours, University of Hong Kong) Wan’s research explores the ethics of technology through decolonial and gendered lenses, focusing on algorithmic violence, posthuman spirituality, and the necropolitics of digital culture. She combines artistic practice with scholarly inquiry, staging performances that interrogate AI, maritime histories, and mythologies. Her recent publications span topics including AI imaginaries, spectral care methods, and decolonial AI ethics, reflecting her interdisciplinary approach. These works intersect with her creative projects like Archaeologies of AI and Beyond the Shore , which employ inter-Asian ocean histories, gender studies, and religious studies frameworks. Scientific Awards Praemium Erasmianum Foundation Dissertation Prize (2019) Wan’s advisory roles include serving on the Board of Directors for Performance Studies international (PSi) and founding the PSi Future Advisory Board (2014–2019). She integrates artistic practice with academia as a founding member of Hong Kong’s If Time’s Limited artist collective, funded by the Hong Kong Arts Development Council and Hong Kong Arts Centre.

• Cultural Theory
• Theatre and Performance Studies
• Digital Media
• +6 more

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
• +3 more

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
• +5 more

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
• +7 more