جستجوی استاد راهنمای دانشگاهی

Athos Agapiouمشاهده پروفایل

استادیار

• Remote sensing
• Earth observation
• Geoinformatics
• +۳ مورد دیگر

Dr. Athos Agapiou serves as an Assistant Professor at the Department of Civil Engineering and Geoinformatics, Cyprus University of Technology, where he holds the 'Geoinformatics and Earth Observation' chair. He also serves as Deputy Director of the UNESCO Chair on Digital Cultural Heritage and coordinates the EOCult Laboratory, a specialized research group focused on applying Earth Observation and Geoinformatics for archaeological research and cultural heritage landscapes. His research interests center on developing and applying innovative remote sensing technologies for cultural heritage preservation, addressing challenges posed by environmental and anthropogenic factors. Dr. Agapiou has led numerous high-profile research initiatives at European and national levels, including Horizon Europe and Horizon 2020 projects, as well as programs funded by the Cyprus Research and Innovation Foundation. His publication record demonstrates consistent output in remote sensing applications for archaeology, with particular focus on satellite image fusion, UAV technologies, spatial resolution optimization, and advanced data analysis techniques for archaeological prospection. His work bridges technical remote sensing methodologies with practical archaeological applications. Young Scientist Award from International Society for Digital Earth (2023) Young Researcher Award by Cyprus Research Awards (2018) Top 2% researcher worldwide in field (Stanford studies 2020-2024) Top three global researchers in Geoinformatics for cultural heritage (2024) Dr. Agapiou actively contributes to major research projects and collaborations, with his work influencing both academic research and practical applications in cultural heritage management. His laboratory (EOCult) serves as a hub for interdisciplinary research connecting geospatial technologies with archaeological practice.

Katja Hoseمشاهده پروفایل

استاد

• Knowledge Graphs
• Semantic Web
• Data Management
• +۷ مورد دیگر

Katja Hose is a Full Professor of Data Management at TU Wien's DBAI research unit, heading the Data Management and Knowledge-Driven AI Lab. She previously held a Poul Due Jensen Foundation Professorship at Aalborg University. Her research focuses on data and knowledge engineering, including graph databases, knowledge graphs, querying, analytics, and machine learning, with interdisciplinary applications in bioscience, healthcare, and environmental assessment. Education: PhD in Computer Science (Ilmenau University of Technology, 2009), Postdoc at Max Planck Institute for Informatics (2009–2012). Academic roles include Program Co-Chair for ISWC 2024 and EDBT 2023, and editorial board membership at VLDBJ and TGDK. She leads projects like TARGET (health virtual twins) and ARMADA (data management). Research Interests: Knowledge Graphs, Semantic Web, Big Data, Machine Learning, Data Integration, and Provenance Systems. Key contributions include SHACL shape extraction, conversational data analytics, and environmental knowledge graphs. Awards include the 2025 Distinguished Meta-Reviewer Award and 2024 Manfred Paul Award. Advising and Grants: Supervised students including E. Pürmayr (Diploma Thesis 2025). Active in EU projects (TARGET, ARMADA) and grant coordination. Labs/Teams: DMKI Lab at TU Wien, collaborating with interdisciplinary teams in healthcare and environmental science.

• Data Visualization
• Human-Computer Interaction
• Big Data Analytics
• +۱۳ مورد دیگر

Huamin Qu is a Chair Professor in the Department of Computer Science and Engineering at the Hong Kong University of Science and Technology (HKUST). He serves as the Founding Dean of the Academy of Interdisciplinary Studies (AIS), Founding Head of the Division of Emerging Interdisciplinary Areas (EMIA), and was the Founding Acting Head of Computational Media and Arts (CMA) at HKUST(GZ). Qu directs the VisLab and coordinates the Human-Computer Interaction (HCI) group. He obtained his BS in Mathematics from Xi'an Jiaotong University and MS/PhD in Computer Science from Stony Brook University. Qu's research integrates Data Visualization , Human-Computer Interaction , and Human-Centered AI , with applications in urban informatics, social networks, and explainable AI. His work focuses on developing interactive systems for big data analytics, visual storytelling, and AI-driven decision support. Research extends to multimodal communication, fintech, and augmented reality applications. His publications emphasize visual analytics for complex datasets (mobility, social media, financial), interaction techniques for immersive environments, and AI-enhanced visualization tools. Recent works explore explainable AI interfaces and large-scale data communication frameworks. IEEE Visualization Academy (2020) IEEE VGTC Technical Achievement Award AI 2000 Most Influential Scholar (2019, 2023, 2024) 21 Best Paper/Honorable Mention awards IBM Faculty Award (2009) APICTA Merit Award (2015) Yelp Dataset Grand Prize (2018) Qu has advised 48 PhD graduates (21 now faculty at institutions like UC Davis, University of Minnesota, Texas A&M) and 30 MPhil students. He secured major grants including RGC theme-based projects (digital citizenship, air pollution), UGC AoE (slope safety), and China's 973 Program. As VisLab director, he leads 20+ researchers in visualization/HCI projects adopted by Microsoft, IBM, Huawei, and Tencent.

• Data Mining
• Machine Learning
• Clustering Algorithms
• +۶ مورد دیگر

Claudia Plant is a Professor in the Faculty of Computer Science , leading the Research Group Data Mining and Machine Learning . Her research focuses on clustering algorithms, data mining, and machine learning applications in areas like biomedical data, wind energy, and causality inference. She has contributed to projects such as Knowledge-infused Deep Learning for Natural Language Processing (2020–2028) and Hybrid Computational Sciences (2021–2021). Plant has authored over 160 publications, with recent work emphasizing deep learning, anomaly detection, and GPU-optimized algorithms. She actively engages in academic activities, including talks on clustering methods and interdisciplinary projects like Governing Algorithms: The Politics of Data and Decision-Making . Her research interests span clustering algorithms , graph neural networks , causality discovery , and ethical digital transformation . Notable projects include causal analysis of wind farm dynamics and AI-enhanced education tools. Plant’s work bridges computational methods with societal challenges, such as empowering marginalized communities through ethical technology adoption.

• Forest Inventory and Monitoring
• LiDAR Technology Applications
• Forest Regeneration Quantification
• +۳ مورد دیگر

Tobias Ofner-Graff is a researcher at the Institute of Forest Growth within the Department of Ecosystem Management, Climate and Biodiversity at the University of Natural Resources and Life Sciences, Vienna (BOKU). Based at Peter-Jordan-Straße 82, 1190 Wien, his work focuses on advanced forest monitoring technologies. His research interests include: LiDAR and remote sensing applications in forestry Automated forest inventory systems Forest regeneration quantification Airborne Laser Scanning (ALS) data analysis Sustainable forest harvesting planning Recent project contributions include: Leading lidar-based forest monitoring systems development Developing spatial forest growth models Implementing digital inventory workflows His publications demonstrate expertise in: Quantifying forest resources through 3D point clouds Advanced timber stack measurement techniques ALS data integration for forest modeling Mobile laser scanning applications Forest climate adaptation strategies

Axel Polleresمشاهده پروفایل

استاد

• Semantic Web
• Knowledge Graphs
• Ontology Reasoning
• +۷ مورد دیگر

Axel Polleres is a full professor at the Institute for Data, Process and Knowledge Management in Vienna University of Economics and Business (WU Wien). He leads the department of Information Systems and Operations Management while maintaining active research in knowledge graphs, semantic web technologies, and ontology engineering. PhD and Habilitation from Vienna University of Technology Former positions at University of Innsbruck, Universidad Rey Juan Carlos, DERI Ireland, and Siemens AG Co-chair of W3C SPARQL working group Editorial board member for Semantic Web Journal and IJSWIS His research focuses on: Querying and reasoning over ontologies Graph schema languages (SHACL, SPARQL) Wikidata constraint formalization Ontology reuse in collaborative platforms Crisis management knowledge graphs FAIR data principles implementation Recent publications analyze knowledge graph evolution, constraint validation methodologies, and semantic web standardization efforts. Key topics include: OWL/RDF interoperability solutions Unit conversion systems for Wikidata Partition-based query processing frameworks Network resilience analysis for urban planning Open data platform discovery tools Temporal analysis of collaborative knowledge graphs He has co-organized major conferences like ISWC2023 and ESWC workshops while maintaining active roles in European research projects. Current work involves spatiotemporal knowledge graphs for city resilience and semantic web infrastructure development.

• Visual Analytics
• Information Visualization
• Human-Computer Interaction
• +۵ مورد دیگر

Alexander Rind is a full-time Researcher at the University of Applied Sciences St. Poelten , affiliated with the School of Media and Digital Technologies and the Media Computing Research Group . He holds an MSc in Business Informatics from Vienna University of Technology, University of Vienna, and Lund University. Education : 1998-2004 MSc in Business Informatics His research interests span Visual Analytics , Information Visualization , and Human-Computer Interaction , with specialization in time-oriented data analysis , electronic health records visualization , and multimodal analytics . Recent projects focus on integrating sonification with visualization for enhanced data exploration. Key publication trends reveal expertise in temporal data modeling , multimodal analytics , and domain-knowledge integration for healthcare and social work applications. His work includes TimeBench (open-source time-oriented data library) and tools like easyBiograph / easyNWK for social diagnostics. He actively contributes to scientific communities as program committee member for IEEE VIS, EuroVis, and journals like TVCG, while developing visual analytics systems for clinical gait analysis, media transparency, and industrial manufacturing.

Josef Stroblمشاهده پروفایل

دانشیار

• Geoinformatics
• GIScience
• Spatial Data Infrastructure
• +۲ مورد دیگر

Josef Strobl is an Associate Professor at the Department of Geoinformatics , Paris Lodron University of Salzburg. With over 40 years of research activity (since 1982), he has produced 168 publications and participated in 51 projects. His work focuses on GIScience, spatial data infrastructure, remote sensing, and environmental engineering applications. Education : Not explicitly detailed in the text Research Interests : Geospatial technologies, data sharing frameworks, climate action support, hydrological modeling, and interdisciplinary applications in Central Asia Recent Publications (2021-2025) demonstrate expertise in geospatial ecosystems, water resource analysis, disease monitoring, and educational frameworks using GIS technologies across multiple domains including climate science, health geography, and regional development. Scientific Awards Christian-Doppler Preis (1989) Ehrenzeichen des Landes Salzburg (2018) Erasmus+ Botschafter (2022) Kulturfonds Salzburg Kinder- und Jugendprojektpreis (2020) Lifetime Achievement Award (2023) Leadership Roles include membership in the European Academy of Sciences and Arts (since 2021), full membership in the Austrian Academy of Sciences (since 2010), and organizing major conferences like GISCA 2024-2025. He contributes to editorial activities and peer review processes.

Andreas Riedlمشاهده پروفایل

استادیار

• Cartography
• Geoinformation Systems (GIS)
• Geovisualization
• +۴ مورد دیگر

Andreas Riedl is an Assistant Professor at the Department of Geography and Regional Research, University of Vienna, where he serves as Head of the Hyperglobe Research Group and Vice-Director of Studies for Geography. His work bridges cartographic heritage with cutting-edge geospatial technology, focusing on spherical display systems for global data visualization. His educational background includes a Doctorate in Geography/Cartography from the University of Vienna (1987-1992) and an Industrial Engineering degree from HTL-Hollabrunn (1979-1985). Career milestones include research at Simon Fraser University (1995-1996) and software development at ITC Enschede (1996). Riedl's research centers on Hyperglobes —interactive 1.2-meter spherical displays that visualize weather patterns, continental drift, and climate change through dual 4K projection. His group operates these systems for public education, serving schools and museums with free demonstrations of geophysical phenomena, flora/fauna distributions, and extraterrestrial topics. Complementing this, he advances GIS applications in urban planning, 3D visualization, and multimedia geocommunication. Analysis of his 15 most recent publications reveals dual research trajectories: (1) Environmental hydrology studies quantifying dew/fog water inputs in grasslands using isotope tracing and micro-lysimeters, and (2) Media studies examining migration coverage, journalistic roles, and gender representation in news. Both strands emphasize data visualization's role in public understanding of complex systems. As an educator, Riedl supervises Master's theses on GIS implementation, 3D city modeling, and geovisualization. His students explore topics including e-charging infrastructure planning, infographic-style maps, and AR navigation systems, reflecting his commitment to applied spatial analysis. The Hyperglobe Research Group provides critical infrastructure for these projects through its spherical display technology and public engagement initiatives.

• Geoinformatics
• Artificial Intelligence
• Environmental Research
• +۷ مورد دیگر

Peter Mandl is an Associate Professor affiliated with the Institute for Computer Science Education at the University of Klagenfurt. His research focuses on Geoinformatics, Artificial Intelligence, Environmental Research, Remote Sensing, and Computer Simulation. He explores topics such as socio-ecological systems, spatial agent-based modeling, land use change, and urban and regional analysis. His work integrates interdisciplinary approaches, combining GIS technology with environmental policy, social sciences, and engineering. Key research interests include the application of geospatial tools for sustainable land use planning, renewable energy assessment, and modeling complex geographic systems. He has contributed to studies on forest fuel markets, satellite image interpretation, and fog phenomena in climate research. His publications emphasize spatial decision support systems, agent-based simulation frameworks, and the development of open geoinformatics platforms like RadWeb Mittelkärnten. His articles demonstrate a consistent focus on bridging theoretical modeling with practical applications, often using agent-based methods to analyze environmental, economic, and social systems. While no scientific awards are explicitly mentioned, his contributions to geoinformatics education and research are evident through his extensive publication record and teaching roles. Collaborative projects and grants are not detailed here, but his work suggests involvement in interdisciplinary teams addressing environmental and urban challenges. Labs and teams associated with his research are not explicitly listed, though his affiliations imply participation in geoinformatics and environmental science groups at the University of Klagenfurt.

• Infectious Diseases
• Maternal and Child Health
• Public Health
• +۷ مورد دیگر

Dr. John G. Ayisi is a prominent researcher in public health and infectious diseases, with affiliations including the Kenya Medical Research Institute (KEMRI), Johns Hopkins Bloomberg School of Public Health, and Amsterdam UMC – University of Amsterdam. His work focuses on maternal and child health in sub-Saharan Africa, particularly the interplay between malaria, HIV, and malnutrition during pregnancy. Kenya Medical Research Institute Johns Hopkins Bloomberg School of Public Health Amsterdam UMC - University of Amsterdam His research interests include infectious disease epidemiology, maternal immunology, and integrated public health interventions. He employs meta-analytic and field-based methodologies to assess the impact of preventive therapies and genetic factors on perinatal outcomes in malaria- and HIV-endemic regions. The recent publications show a consistent focus on pregnancy-associated malaria, genetic susceptibility to HIV transmission, and the combined burden of malnutrition and infection. His work often involves large-scale data synthesis and community-based trials, emphasizing evidence-based policy formulation for low-resource settings. Dr. Ayisi has received funding and support from leading global health institutions, including: National Institutes of Health (NIH) Centers for Disease Control and Prevention (CDC) National Research Foundation Natural Sciences and Engineering Research Council of Canada Department for International Development (UK) Association Française contre les Myopathies He has advised or collaborated on numerous research projects aimed at reducing maternal and child morbidity in Africa. While no formal students are listed, his leadership in multi-institutional studies suggests a mentorship and collaborative role. His research has been instrumental in shaping malaria prevention policies, particularly regarding intermittent preventive therapy in pregnancy (IPTp) and integrated maternal health programs. Dr. Ayisi has contributed to major initiatives such as the Maternal Malaria and Malnutrition (M3) program and has developed novel methodologies for placental immunology studies. His work bridges laboratory science, epidemiology, and public health implementation, often conducted in partnership with local and international research teams in Kenya and beyond.

• Research Data Management
• Semantic Web Technologies
• Machine Learning
• +۳ مورد دیگر

Tomasz Miksa is a researcher affiliated with TU Wien's Department of Research Data Management, focusing on machine-actionable data management plans (maDMPs), semantic web technologies, and data reproducibility. He collaborates extensively on projects involving automated assessment of data management workflows, FAIR data implementation, and privacy-preserving analysis platforms. Primary affiliation: TU Wien Department: Research Data Management Key projects: WellFort, FAIR Data Austria, openEO API His research integrates semantic technologies with data governance to enhance reproducibility in scientific workflows, particularly in domains like environmental monitoring and legal informatics. Recent publications emphasize ontological frameworks (DCSO), API harmonization, and auditable machine learning systems. Notable collaborative works include: Reproducibility standards for soil moisture data Knowledge graph applications in cyber-physical energy systems Dynamic data citation mechanisms He supervises students in theses related to maDMP integration, data citation frameworks, and institutional research data planning architectures.

• Graphical User Interfaces
• Graphic Design
• Human-computer interaction
• +۸ مورد دیگر

Assoc. Prof. David Ahlström is an Associate Professor at the Department of Informatics Systems, Alpen-Adria-Universität Klagenfurt. He also teaches within the Department of Media and Communications, focusing on human-computer interaction and interface design. His research spans multiple areas in human-computer interaction (HCI), including graphical user interfaces, usability engineering, and interactive mobile systems. Department of Informatics Systems (main affiliation) Department of Media and Communications (teaching) David Ahlström's research explores both theoretical and practical aspects of interaction design: Human-computer interaction (HCI) Graphical user interfaces (GUIs) Usability engineering Mobile computing interfaces Information design Interactive systems His publications demonstrate a consistent focus on interface innovation across different device categories. Early work investigated fundamental menu interaction models and mobile screen usability (2002-2007), while recent research (2015-2025) explores advanced spatial interfaces, vibration-based input methods, and multimodal UAV control systems. Common themes include: Evaluating new interaction techniques Optimizing spatial navigation Developing intuitive gesture systems Exploring wearable interface possibilities Advancing smartphone interaction paradigms Improving visual search performance As a member of the Equal Opportunities Working Group, he contributes to institutional initiatives beyond his technical research. His work often addresses practical challenges in mobile device usability across various contexts including education, emergency response, and domestic smart home systems.

Silvia Mikschمشاهده پروفایل

استاد

• Visual Analytics
• Information Visualization
• Interaction Design
• +۶ مورد دیگر

Silvia Miksch is a Full University Professor of Visual Analytics at TU Wien's Faculty of Informatics, leading the CVAST Center. She holds a PhD from the University of Vienna and has held roles including Head of the Department of Information and Knowledge Engineering at Danube University Krems. Her research focuses on Visual Analytics, Information Visualization, Temporal Data Analysis, and Medical Informatics. She has supervised numerous PhD and Master’s students, with notable advisees including Ignacio Baltazar Pérez Messina and Davide Ceneda. Her work bridges theory and practice, addressing challenges in Visual Analytics for healthcare, business intelligence, and digital humanities. Awards include the IEEE VGTC Technical Achievement Award (2023) and induction into the IEEE Visualization Academy (2020). She actively contributes to conferences like IEEE VIS and EuroVis as program chair and steering committee member. Her projects, such as 'VisuExplore' and 'DisCo', have received recognition for advancing visualization in medical and cultural domains. Key research areas include guidance-enriched systems, network visualization, and temporal reasoning. She explores applications in fraud detection, cultural heritage analysis, and pandemic data visualization. Her lab's tools, like 'Hermes' and 'COVIs', exemplify task-driven design for real-world data challenges.

• Interaction Design
• User Experience Design
• Information Visualization
• +۴ مورد دیگر

FH-Prof. Dr. Kerstin Blumenstein is a Professor in the Department of Media and Digital Technologies at the University of Applied Sciences St. Pölten. She has been with the institution since 2019, leading research in Interaction Design, User Experience, and Information Visualization. Her work focuses on multi-device ecologies, mobile computing, and digital media integration in cultural and educational contexts. Education includes a Bachelor's in Media Technology (2010) and a Master's in Digital Media Technologies (2012), both from St. Pölten University of Applied Sciences. Prior roles include student assistant at the Institute of Media Informatics and work as a Media Designer in Germany. Research projects like MEETeUX and Seekoi explore user-centered design for multi-device systems and context-aware mobile applications. Key interests span Human-Computer Interaction, second-screen applications, and visualization frameworks for real-time data. Publications emphasize cross-platform visualization tools, mobile interface design, and empirical evaluations of information displays. Current work addresses challenges in BYOD environments and cultural heritage digitalization through projects like KuKoNö . No scientific awards explicitly listed. Active in teaching across multiple programs including Media Technology (BA), Digital Healthcare (MA), and Interactive Technologies (MA).