Find Academic Supervisors

Eric HorsterView profile

Professor

• Digital Tourism Marketing
• Customer Experience Management
• Smart Destinations
• +3 more

Prof. Dr. Eric Horster is a Professor in the International Tourism Management (ITM) program at the West Coast University of Applied Sciences in Heide, Germany. He holds a prominent role as a board member of the German Institute for Tourism Research, contributing to cutting-edge research in digital tourism marketing, customer experience management, and smart destinations. His work integrates technology-driven solutions with strategic tourism challenges, focusing on visitor management systems, innovation methodologies, and sustainable destination development. Research Interests: Horster’s expertise spans digital tourism marketing, customer experience design, and the application of innovative technologies in tourism. His recent work explores visitor spatio-temporal behavior analysis, intervention frameworks for overcrowding, and the integration of recommendation systems in destination management. He emphasizes leveraging data-driven strategies to enhance tourism experiences while addressing industry challenges like resource management and sustainability. Articles & Trends: His publications highlight trends in smart destinations, digital tools for customer experience optimization, and innovation frameworks for tourism businesses. Notable works include frameworks for overcrowding mitigation (INPReS) and methodological guides for innovation in customer experience management. Awards & Grants: No specific awards or grants are listed, though his academic contributions are recognized through his active research and institutional roles. Advising & Labs: While no formal students are listed, Horster guides research initiatives at the German Institute for Tourism Research and collaborates with institutes like regioMAR and WinHR. His work often involves cross-disciplinary teams addressing tourism’s digital transformation and policy challenges.

• Geodesign
• Landscape Informatics
• GIS Applications
• +5 more

Prof. Olaf Gerhard Schroth is a Professor of Geodesign and Landscape Informatics at the Weihenstephan-Triesdorf University of Applied Sciences (HSWT), leading Germany’s first professorship in this field. He holds roles managing CAD, GIS, and remote sensing laboratories, and oversees the IMLA Virtual Campus. His academic career includes postdoctoral research at the University of British Columbia (2008-2012), roles as a lecturer at the University of Sheffield (2012-2017), and doctoral work at ETH Zurich (2003-2008). His research focuses on digital methods for sustainable development, including geodesign, GIS, UAVs, and VR/AR for landscape planning. He emphasizes integrating technology with ecological and social goals, addressing climate adaptation and urbanization challenges. Teaching includes courses on data processing, IT in planning, and digital terrain modeling. Key projects include flood risk mitigation in Indonesia, smart city microclimate modeling, and geodesign workshops for online education. He has supervised doctoral candidates like Junyi Zhao and Medria Shekar Rani, contributing to landscape informatics and participatory planning. His work bridges academia and practice, collaborating with firms and governments on projects like shelterbelt design in China and open data quality assessments in tourism planning.

Alexander WiebelView profile

Professor

• Visual Computing
• Machine Learning
• Augmented Reality (AR)
• +5 more

Dr. Alexander Wiebel is a Professor of Visual Computing at Hochschule Worms University of Applied Sciences, where he also serves as Scientific Director of the Center for Technology and Transfer (ZTT). He co-founded the User Experience & Visualization (UX-Vis) research group and the Interdisciplinary Center for Digital Experience Design (IZEd). His expertise spans visual data analysis, AR/VR systems, and medical visualization. Education: PhD in Computer Science (2008) from University of Leipzig, Diplom-Informatik (2004) from TU Kaiserslautern, and secondary education at Gymnasium am Römerkastell, Alzey. Research focuses on interactive visualization systems, machine learning integration in visualization, and applications in healthcare and education. He has over 75 publications, including work on proton CT systems, motor skill training via AR, and modular educational resources for computer graphics. Leadership roles include membership in GI, Hlb, and Chaos Computer Club. Active in program committees for EuroVis, BioVis, and IEEE Visualization conferences. Supervised over 60 bachelor's, 20 master's, and multiple PhD students. Labs include the Visual Computing Lab (N-144) and contributions to OpenWalnut visualization software. Projects include SkillXR (AR-based physiotherapy), SIVERT (medical imaging tech), and ExGOER (OERs in computer graphics).

Helin UlasView profile

Lecturer

• Digital Cultures
• Ecological Perspectives
• Socio-Political Changes
• +7 more

Helin Ulas is a Lecturer and Research Associate in the Digital Arts Department at Karlsruhe University of Arts and Design. Her work explores socio-political changes, ecological perspectives, and digital cultures through networked installations, performances, and AI-driven art. She also guest lectures at NYU's IMA Low-Res program and the NODE Institute, and co-leads the Collective Dreams initiative focusing on community-centered practices. Current affiliations include roles in Kanapé Kollektiv and collaborations with institutions like ZKM. Research emphasizes speculative machines, collective imagination, and the interplay between technology and human expression. Key projects like ToM (2024) reimagine mythological narratives through AI and interactive installations. Her work frequently addresses ethical dimensions of AI, ecological futures, and human-machine symbiosis. Recent exhibitions include installations at ZKM, Basel Naouri, and the School of Machines. Teaching and mentorship focus on fostering experimental practices in digital art, with an emphasis on interdisciplinary collaboration. Ongoing projects investigate generative design, performative spaces, and the socio-cultural impacts of emerging technologies. Professional networks span academia, independent collectives, and institutional partnerships in Europe and North America.

Johannes NiediekView profile

Researcher

• Neuroscience
• Computational Neuroscience
• Machine Learning
• +3 more

Johannes Niediek is a Postdoctoral Researcher at Technical University of Berlin , specializing in computational neuroscience and neurophysiology. He holds a PhD in Neuroscience from the University of Bonn (2018) and a Diplom in Mathematics (2011). His research focuses on applying machine learning techniques to understand neural processes, particularly in reinforcement learning models and electrophysiological data analysis. Previously, he worked in Prof. Israel Nelken’s group at the Hebrew University of Jerusalem, studying behavioral modeling with reinforcement learning methods. He also contributed to epilepsy research at the Department of Epileptology in Bonn, analyzing depth-electrode recordings from epilepsy patients. His open-source contributions include the Combinato spike sorting toolkit, widely used in electrophysiological studies. Active on GitHub, he maintains repositories focused on neuroscience data processing and visualization. Research interests span neural coding mechanisms, temporal dynamics of memory, and the interplay between neural oscillations and cognitive functions. His work bridges computational modeling and experimental neurophysiology to uncover fundamental principles of brain function.

Benjamin WeyersView profile

Professor

• Human-Computer Interaction
• Virtual Reality
• Augmented Reality
• +5 more

Benjamin Weyers is a full Professor at University of Trier where he leads the Human-Computer Interaction Group within Faculty IV (Computer Science). Previously, he served as a PostDoc at RWTH Aachen University's Virtual Reality and Immersive Visualization group from 2013 to 2018 after completing his PhD in 2011 at the University of Duisburg-Essen. His academic journey began with studies in Applied Computer Science at the same institution where he later earned his doctorate in formal modeling for interactive systems development. Weyers' research centers on the scientific development and investigation of interactive systems with specific focus on Virtual and Augmented Reality technologies in everyday work contexts. His work spans two primary strands: (1) interactive analysis methods for abstract and scientific data using immersive systems, and (2) integration of VR/AR into technical control systems to support human users in semi-automated scenarios. He maintains a strong interest in formal methods for describing interactive systems, building on his doctoral work in formal interface modeling. His research has evolved toward practical applications in industrial contexts, particularly in manufacturing and team coordination. His publication record shows consistent output across top venues in HCI and VR, with recent work focusing on transitions in XR environments, collaborative virtual systems, and immersive analytics. The trajectory reveals increasing emphasis on practical implementations and real-world applications of VR/AR technologies, particularly for team coordination and industrial settings. His work demonstrates strong interdisciplinary connections between formal methods, cognitive psychology, and practical system design. Principal Investigator for DFG SPP 1921 project IVAA (Intentional Forgetting of Workplace Habits) Lead researcher on DFG-funded AR for Ambient Awareness project Co-editor of The Handbook on Formal Methods in Human Computer Interaction (Springer, 2017) Active reviewer for major HCI journals and conferences Member of IEEE, ACM, and Gesellschaft für Informatik (GI) Weyers directs the Human-Computer Interaction research group which investigates VR/AR applications in workplace contexts, with particular emphasis on team coordination, manufacturing processes, and cognitive aspects of immersive interaction. His lab maintains strong industry connections, especially in automotive manufacturing where his team has developed solutions addressing the functionality versus user experience contradiction in professional production environments. Current work focuses on seamless transitions between reality states, gaze-guiding techniques, and multi-robot system interfaces.

• Strategic Management
• Organizational Paradox
• Strategy as Practice
• +3 more

Jane Lê is Professor of Strategic Management and Chair of Strategic Management at WHU – Otto Beisheim School of Management. She serves on editorial boards for Organization Studies, Strategic Organization, and Organizational Research Methods (Associate Editor 2020-2024). Her research explores strategy in complex organizational settings with particular focus on managing competing goals. Professor Lê's internationally recognized work spans three interconnected research strands: Strategy as Practice : Examining how people actually implement strategy, funded by ESRC and British Academy, published in Academy of Management Journal and Organization Science Paradox in Organizations : Investigating management of competing goals, supported by ARC Discovery Grant (2016-2019), awarded SO! WHAT Best Paper Award (2018) and Organization Studies Editorial Pick (2017) Organizational Research Methods : Advancing qualitative approaches including process research and CAQDAS, with publications on data collection, analysis, and method innovation Her recent publications demonstrate consistent output in top journals including Academy of Management Journal, Organization Studies, and Organizational Research Methods. The research shows evolving focus from foundational strategy implementation (2014-2017) toward contemporary paradox management during crises (2021) and methodological innovation (2022-2025), with growing interdisciplinary connections to mindfulness studies and human resource development. Scientific recognition includes: SO! WHAT Best Paper Award (2018) Organization Studies Editorial Pick (2017) Professor Lê actively mentors doctoral researchers through WHU's doctoral program and has secured research funding from ESRC, British Academy, and ARC Discovery Grant (2016-2019). Her work connects with WHU's Management Group research clusters focusing on strategic complexity and organizational behavior. Current projects examine pandemic-era paradox navigation and advanced qualitative analytics.

Torsten KiliasView profile

Researcher

• Database Systems
• Text Mining
• In-Database Analytics
• +3 more

Torsten Kilias is a Researcher at the Beuth University of Applied Sciences Berlin and the DATEXIS team, affiliated with the Data Science +X Graduate School. He holds a degree from Ilmenau University (2012) with prior internships at IBM and TU-Berlin. His research focuses on text mining in databases, particularly in-database relation extraction (INDREX) and span data models for shared-nothing architectures. Current work involves managing knowledge graphs in relational databases under the BMWi-funded Smart Data Web project. Key projects include APPL-FM (DFG), KIP-SDM (BMBF), and contributions to interdisciplinary initiatives like AnorexiaVR (BMG) and Vessel Segmentation. His technical expertise spans entity linking with neural embeddings, distributed systems for web analytics, and database acceleration using coprocessors. Publications highlight advancements in in-database analytics, with notable work in Information Systems journal (2015) and conference contributions on marketplace architectures for text annotation services (2014).

• Optical Fiber Sensing
• Wireless Communication Networks
• Internet of Things
• +7 more

Huan Wu is an accomplished academic researcher with a substantial publication record spanning nearly three decades (1996-2025), comprising 63 indexed publications in the dblp database. Their scholarly work demonstrates expertise across multiple technical domains with significant contributions to optical communication systems, wireless networking, and artificial intelligence applications. Research interests focus on the intersection of electrical engineering and computer science, particularly in developing advanced sensing technologies using optical fibers, creating efficient communication protocols for IoT systems, and applying machine learning techniques to environmental monitoring and biomedical applications. Recent work shows a strong trend toward AI integration for infrastructure monitoring systems, including water pipe leak detection and hydrological modeling, as well as healthcare applications like non-invasive glucose monitoring and medical image analysis. The publication portfolio reveals a clear evolution from foundational work in signal processing and communication systems toward increasingly interdisciplinary research that bridges engineering with environmental science and healthcare. Recent publications (2023-2025) demonstrate particular strength in graph neural networks, distributed sensing systems, and AI-driven solutions for critical infrastructure monitoring. Based on publication patterns including consistent first-author contributions, supervisory roles evident in student collaborations, and extensive research output, Huan Wu appears to hold a senior academic position with significant research leadership. The collaborative nature of the work, involving multiple institutions across China and internationally, suggests active participation in major research initiatives and substantial grant funding, though specific details are not provided in the publication records.

Alexander LindauView profile

Professor

• Virtual Acoustics
• Binaural Technology
• Psychophysics of Spatial Hearing
• +4 more

Prof. Alexander Lindau is a Full Professor of Audio-, Video-, and Media Technology at Berlin University of Technology's Department for Theatre and Event Technology. He leads the Laboratory for Theatre and Event Technology within the Mechanical Engineering faculty. His career includes roles such as Lab Manager at the Max Planck Institute for Empirical Aesthetics and Research Associate at TU Berlin. Lindau holds a PhD (Dr. rer. nat.) from TU Berlin (2014) and a Master of Arts in Communication Sciences (2006). His research focuses on Virtual Acoustics, Binaural Technology, and Spatial Hearing Psychophysics. Notable projects include the SAQI audio quality inventory and studies on dynamic binaural synthesis authenticity. He collaborates with institutions like the Audio Communication Group (TU Berlin) and L'Acoustic (Paris). Lindau has authored over 1,800 citations (2024), with an h-index of 23. His teaching spans audio engineering, event technology, and media systems. Supervised student projects include sound system optimization, immersive AV streaming, and LED wall design. Lindau emphasizes applied research, merging technical innovation with perceptual evaluation in theater, concerts, and festivals.

Morvarid Götz-DehnaviView profile

Researcher

• Educational Science
• Historical Educational Research
• Childcare Center Education
• +5 more

Morvarid Götz-Dehnavi is a Researcher at the Department of Educational Science at Helmut Schmidt University, affiliated with the Faculty of Humanities and Social Sciences. Since 2012, she has held positions as a post-doctoral research assistant and later became a project leader (2022–present) for the DFG-funded project 'Education and Interaction in Daycare Centers' with Prof. Arnd-Michael Nohl. She completed her PhD in 2012 with a dissertation on politicization processes among female student activists during the 1968 movement and the New Women's Movement. Her research focuses on historical educational research, pedagogical interactions in childcare, gender studies, and material culture in education. Education: Studied Educational Science at Heinrich Heine University (2001–2006), PhD from Helmut Schmidt University (2012) Awards: 2014 Science Award from Helmut Schmidt University Supporters Her research interests span historical analyses of educational institutions, gendered socialization processes, and qualitative methodologies like videography. She has led multiple projects funded by DFG and internal grants, focusing on daycare center interactions and educational policy. Active in academic governance, she has held roles in faculty councils and university committees since 2014. Publications include monographs on politicized gender and edited volumes on historical socialization research. Key contributions include analyzing spatial-temporal learning dynamics, caregiver-child interactions, and institutional memory in academia. She collaborates internationally, presenting at conferences in Germany, Norway, and Italy, and has reviewed seminal works on education and DDR childcare systems.

Klaus DreisewerdView profile

Professor

• MALDI mass spectrometry imaging (MALDI-MSI)
• Method and instrument development
• Microbial MALDI-MSI
• +5 more

Prof. Klaus Dreisewerd is a Professor at the University of Münster's Institute of Hygiene, leading the Biomedical Mass Spectrometry research group. His work focuses on MALDI mass spectrometry imaging (MALDI-MSI), method development, and applications in biomedical research. Key projects include post-ionization techniques (MALDI-2, t-MALDI-2) for high-resolution tissue analysis, microbial biofilm studies, and glycoconjugate characterization. He collaborates with industry and academia to advance imaging approaches for cancer, infection, and neurodegenerative diseases. University: University of Münster School: Medical Faculty of Münster University Hospital Department: Institute of Hygiene Research interests span MALDI-MSI innovations, correlative microscopy integration, and molecular mechanisms of infection/inflammation. He actively participates in research networks like SFB1009 and SFB TRR332, and has been awarded the Robert Koch Foundation Research Prize. Recent articles highlight advancements in lipid isomer imaging, 3D MALDI-MSI, and microbial metabolite visualization. His work bridges fundamental physics, instrumental innovation, and biomedical applications.

Roberto Novella FernandezView profile

Researcher

• Global Change Ecology
• Biogeography
• Climate Change Impacts
• +6 more

Dr. Roberto Novella Fernandez is a Researcher at the Department of Global Change Ecology, University of Würzburg, Germany, within the School of Ecology. He previously held a PostDoctoral Researcher position at the Technical University of Munich (2021–2023) in the Terrestrial Ecology Research Group (School of Life Sciences). His research focuses on biogeographic processes, ecological interactions, and climate change impacts on biodiversity, particularly in bats and dragonflies. He holds a PhD in Biological Sciences from the University of Southampton (2016–2020), an MSc in Terrestrial Ecology from the Autonomous University of Barcelona (2014–2015), and a BSc in Environmental Biology (2010–2014) from the same institution, where he received the Best Academic Record Award. Dr. Novella Fernandez's work bridges community ecology, biogeography, and conservation biology. Key research themes include: 1) Biotic interactions shaping species distributions (e.g., bat assemblages), 2) Climate change effects on species ranges and phenology, 3) Ecological trait analysis in dragonflies and bats, and 4) Methodological advancements in ecological sampling and modeling. His recent studies explore how traits like coloration and morphological features influence community assembly under varying environmental conditions. His publications (2020–2024) highlight contributions to understanding: a) Dragonfly trait-based community ecology, b) Bat dietary niche modeling, c) Large-scale biogeographic avoidance patterns, and d) Improved sampling protocols for invertebrates. These works emphasize integrative approaches combining field data, genomic tools, and spatial modeling. Awards: Vincent Weir Scientific Award 2022 (Bat Conservation Trust), FPU PhD scholarship (Spanish Ministry of Education), and Best BSc Academic Record. Grants: COST Action STSM grant (2020), Autonomous University of Barcelona collaboration grant (2014). He collaborates with Prof. Christian Hof and leads projects on global change ecology within the Würzburg research group. His current work addresses how thermal adaptation and habitat changes affect species' distributions and community dynamics.

Thomas GschwendView profile

Professor

• Electoral behavior
• Public opinion
• Comparative politics
• +3 more

Thomas Gschwend, Ph.D. is a Professor for Quantitative Methods in the Social Sciences at the School of Social Sciences, University of Mannheim, and serves as a project director at the Mannheimer Zentrum für Europäische Sozialforschung (MZES). His academic position places him at the intersection of political science methodology and substantive political research, where he leads the Chair of Political Science, Quantitative Methods in the Social Sciences (QMSS). Professor Gschwend's research interests span electoral behavior, public opinion, comparative politics, political psychology, and constitutional politics. His methodological expertise includes ecological inference models, item-response theory, Bayesian statistics, and experimental design. He is particularly interested in how electoral institutions shape individual decision-making processes and their consequences for voters, party strategies, and election outcomes. His current work develops micro-theories of actor behavior under institutional constraints, with a focus on expectation formation in electoral contexts. Gschwend's recent publications reveal a strong emphasis on election forecasting (particularly through the Zweitstimme.org project), coalition politics, strategic voting, judicial politics, and innovative methodological approaches including AI applications in social science research. His work consistently bridges theoretical political science with advanced quantitative methods, demonstrating how methodological innovation can address substantive political questions. As an educator, Gschwend has taught numerous graduate and undergraduate courses at the University of Mannheim since 2001, including Multivariate Analysis, Research Design, Advanced Quantitative Methods, and Crafting Social Science Research. His teaching portfolio shows consistent commitment to methodological training across multiple program levels. Professor Gschwend leads a research team that includes postdocs, doctoral students, and research assistants working on projects related to electoral systems, coalition politics, judicial behavior, and political methodology. His research has been supported by major funding bodies including the Deutsche Forschungsgemeinschaft (DFG), Social Sciences and Humanities Research Council of Canada, National Science Foundation (NSF), and Fritz Thyssen Foundation. The Chair he leads is actively involved in multiple research projects including Zweitstimme.org (election forecasting), coalition politics before elections, measuring common policy spaces, and political attention in legislative reform. The team has produced numerous publications and received recognition including the Franz-Urban-Pappi-Prize and Lorenz-von-Stein Prize for student work supervised under Gschwend's direction.

Anja WeißView profile

Professor

• Sociology
• Macrosociology
• Transnational Processes
• +5 more

Prof. Dr. Anja Weiß is a Professor of Sociology at the Institute of Sociology within the Faculty of Social Sciences at the University of Duisburg-Essen. Her research focuses on macrosociology and transnational processes, particularly addressing global inequalities, migration dynamics, and the transnationalization of social structures. She holds leadership roles in the Diversity Management Commission and participates in academic governance bodies like the Faculty Council. Her educational background includes a PhD in Sociology, though specific details are not provided. Research interests include the interplay between global and local contexts, labor market integration of skilled migrants, and the sociological analysis of healthcare practices. She also examines institutional diversity challenges in organizations such as the German police force. Recent articles highlight her work on cross-border labor markets, transnational professional knowledge, and the societal implications of globalization. Her publications often combine qualitative methodologies with comparative approaches to overcome methodological nationalism. Despite no explicitly listed scientific awards, her contributions reflect sustained engagement with pressing sociological questions of our time. In teaching, she oversees diverse programs including MA/BA courses in Sociology, Behavioral Data Science, and Global Migration Studies. Her team collaborates on transnational research projects, though specific grant details are not provided. Office hours are held weekly, requiring prior email registration. Prof. Weiß’s academic profile integrates theoretical innovation with empirical rigor, addressing the complexities of modern societal structures in an increasingly interconnected world.