جست‌وجوی استاد و پژوهشگر

Ubbo Visserمشاهده پروفایل

دانشیار

• Artificial Intelligence
• Robotics
• Semantic Web
• +۵ مورد دیگر

Ubbo Visser is an Associate Professor and Director of Graduate Studies in the Department of Computer Science at the University of Miami's College of Arts and Sciences. He is also a Fellow of the CNSA. His research focuses on Artificial Intelligence, Robotics, and Semantic Web technologies, with applications in healthcare, criminal justice, and competitive gaming. He leads projects in RoboCup robotics competitions and has developed novel AI tools for cognitive testing (e.g., LASSI-BC) and digital health agents for behavioral interventions. Key research areas include ontology engineering (e.g., Drug Target Ontology, BioAssay Ontology), human-robot interaction, and multi-agent systems. His work integrates symbolic and sub-symbolic AI methods to address real-world challenges such as algorithmic fairness in facial recognition systems and dynamic motion control in humanoid robots. He has secured funding from NIH, NSF, and industry partners, and serves on editorial boards for advanced robotics and AI journals.

Richard Allen White IIIمشاهده پروفایل

استادیار

• Bioinformatics
• Computational Biology
• Virology
• +۵ مورد دیگر

Richard Allen White III is an Assistant Professor in the Department of Bioinformatics at the University of North Carolina at Charlotte, affiliated with the College of Computing and Informatics. His work spans bioinformatics, computational biology, virology, and microbial ecology, with a focus on understanding viral lifestyles in diverse ecosystems. Education: B.S. in Cellular and Molecular Biology from California State University – East Bay M.S. in Biology (Molecular Virology) from California State University – East Bay Ph.D. in Microbiology and Immunology from the University of British Columbia Postdoctoral training in Computational Biology at Pacific Northwest National Lab (PNNL) Dr. White's research investigates how viral dynamics influence microbial communities in the rhizosphere, mammalian hosts, and modern microbialites. He combines multiomics approaches with computational tools for de novo genome assembly and functional annotation. Recent work includes developing bioinformatics platforms like NFixDB and MerCat2. Scientific Awards: NAR Genomics and Bioinformatics Editors' Pick (2024)

Julia Maria Strußمشاهده پروفایل

استاد

• Information Retrieval
• Data Science
• Natural Language Processing
• +۴ مورد دیگر

Prof. Dr. Julia Maria Struß is a Professor of Applied Data Science at the Department of Information Science of Potsdam University of Applied Sciences. She serves as Program Director and Internship Coordinator for the Information and Data Management (B.A.) program and is a member of the Departmental Council. Her work bridges technical rigor with societal impact, focusing on information retrieval, text mining, and ethical data practices. University: Potsdam University of Applied Sciences Department: Information Science Academic Rank: Professor Email: julia.struss@fh-potsdam.de Research Interests center on Information Retrieval (technical and ethical dimensions), Data Science for Social Good (hate speech detection, fake news mitigation), and Computational Linguistics (subjectivity analysis, sentiment modeling). She specializes in deploying these methods for societal challenges like environmental sustainability and pandemic misinformation. Her publications emphasize fact-checking infrastructure , multilingual NLP , and dataset transparency , with recent work analyzing hate speech data licensing and urban data practices for rural stakeholders.

• Digital heritage
• Media and communication
• Cultural data analytics
• +۴ مورد دیگر

Andres Kõnno is a Research Fellow at the Baltic Film, Media and Arts School of Tallinn University, where he has worked since 2018. His academic journey began with a Research Master's Degree (2003) and a Doctoral Degree (2016) in Media and Communication studies from the University of Tartu. His research focuses on Digital heritage reuse Cross-referencing media & cultural data Metadata modeling Media innovation in social contexts Public sector open data applications Current projects include semantic search and topic modeling for Estonian Public Broadcasting archives, funded by agencies like the Estonian Research Council and European Research Executive Agency. He has led projects such as WIRE - Widening Innovation+Research Excellence in FilmEU and Automaatse keeletöötluse rakendamine ERRi arhiivis . While no scientific awards are explicitly mentioned, his work has been supported by multiple grants exceeding 1 million EUR total funding. He supervises journalism students at BA and MA levels and contributes to curriculum development in media innovation. Andres Kõnno's expertise spans semiotics, cultural theory, and data analysis, with practical experience from roles at Baltic Media Monitoring Group (1997-2018). His publications emphasize digital humanities applications, media pluralism analysis, and cultural data interoperability.

Wei Zhaoمشاهده پروفایل

استادیار

• Natural Language Processing
• Evaluation of NLP Systems
• Cross-Temporal Research in NLP
• +۷ مورد دیگر

Wei Zhao is an Assistant Professor in Natural Language Processing at the School of Natural and Computing Sciences, University of Aberdeen, where he also leads research as a Principal Investigator. He is additionally an invited lecturer at Heidelberg University, Germany. His research focuses on evaluation of NLP systems, cross-temporal research, and applications of large language models in science and humanities. His research interests include: Evaluation of Large Language Models Diachronic and Cross-Temporal NLP AI for Scientific Discovery Lexicography and Lexical Semantics Machine Translation and Human-AI Collaboration Graph-based Representation Learning The recent articles highlight a strong trend in leveraging LLMs for scientific and linguistic tasks, particularly in evaluation, cross-temporal modeling, and human-AI collaboration. His work spans both theoretical foundations (e.g., graph embedding) and practical applications in translation, lexicography, and scientific content generation. Scientific awards and recognitions include: Outstanding Paper Award at NAACL Computing Grant from Google Sponsorship from Artificial Intelligence Journal Research Catalyst Funding from University of Aberdeen Computing Credits from OpenAI Research Collaboration Grant from Royal Society of Edinburgh Wei Zhao actively supervises multiple Master's and Bachelor's students, including Qianchen Luo, Gagan Bhatia, Ran Zhang, and Lydia Körber, among others. He is also co-supervising a PhD student with Steffen Eger. He has served as an Area Chair for ARR, COLING, and CoNLL 2025, and as a reviewer for EPSRC, Leverhulme Trust, and ISPF. His research is funded by Google, OpenAI, Royal Society of Edinburgh, and the Artificial Intelligence Journal. He leads a vibrant research group focusing on LLMs, cross-temporal bias, evaluation, and NLP for science, with ongoing projects in literary translation, lexicography, and multimodal scientific content.

Hortensia Curell Gotorمشاهده پروفایل

استاد

• Second Language Acquisition
• Corpus Linguistics
• Linguistic Empathy
• +۳ مورد دیگر

Hortensia Curell Gotor is a Professor at the Autonomous University of Barcelona (UAB), affiliated with the Department of English Philology and German Studies. She is part of the Research Group in English Linguistics: Use and Acquisition in Multilingual Contexts (GReLA). Her academic career includes roles such as Interim Head of the University School (Esc. Univ.) at UAB (1987–1991) and Teaching Assistant at the University of South Carolina (1986–1987). Education: - PhD in English Philology, UAB (Awarded Oct. 18, 1990) - Graduate Degree in English Philology, UAB (Awarded June 30, 1985). Research Interests: Her work focuses on language structure, multilingual contexts, and applied linguistics. Key areas include corpus-based studies of aspectual verbs, empathy in language use (comparing Catalan and English), L2 reading comprehension, and mobile-assisted language learning. She has contributed to projects on event detection, factuality, and the cognitive bases of language. Projects: - StratAPP : Gamifying Academic Skills in Higher Education (2016–2019), emphasizing Academic English. - Modeling the cognitive bases of language (2001–2004), exploring lexico-grammatical and cognitive structures. - Temporality and combination of events in narration (2004–2005), comparing English and Catalan. Advising & Grants: Supervised 7 works, including the doctoral thesis The Present Perfect in English and Catalan . Active in securing grants from institutions like the Spanish Ministry of Science and Innovation. Her research has been cited extensively (e.g., 35 citations for her 2020 Mobile-assisted Language Learning article). Labs/Teams: Leads the GReLA group, focusing on multilingual language use and acquisition.

Andreas van Cranenburghمشاهده پروفایل

استادیار

• Computational Linguistics
• Statistical Parsing
• Computational Literary Studies
• +۳ مورد دیگر

Dr. Andreas van Cranenburgh is an Assistant Professor of Digital Humanities and Information Sciences at the University of Groningen, Faculty of Arts. His work focuses on computational linguistics, statistical parsing, and computational literary studies, with expertise in information science, language & linguistics, and artificial intelligence. He leads projects on historical text normalization, authorship attribution, and narrative analysis frameworks like the GOLEM Triple Store. His research integrates NLP techniques with literary analysis, addressing topics such as gender bias in literary prizes, coreference resolution in Dutch literature, and psycholinguistic applications in speech disorder detection. He collaborates on corpora like OpenBoek and Dutch Novels 1800-2000, advancing digital humanities infrastructure. Notable contributions include developing Dutchcoref systems for literary text processing, exploring machine learning approaches to literary quality, and advancing graph-based narrative representations. His work bridges computational methods with humanistic inquiry, impacting both academic research and cultural heritage preservation.

• Computational Linguistics
• Digital Humanities
• Historical Semantics
• +۳ مورد دیگر

Antti Kanner is a Researcher at the Department of Digital Humanities, University of Helsinki. His work focuses on computational linguistics, historical semantics, and interdisciplinary digital humanities projects. He is affiliated with the Helsinki Computational History Group and has contributed to projects like 'Flows of Power' and 'Formulaic Intertextuality.' Kanner's research explores topics such as modal grammar in political discourse, naming conventions in historical texts, and the evolution of Finnish national identity through language. His awards include the August Ahlqvistin Väitöskirjapalkinto (2023) and the Open Science and Research Award (2016). He collaborates internationally, particularly in Slavic and Finno-Ugrian studies, and has published widely on corpus linguistics, media analysis, and historical text mining. Key Projects: Helsinki Computational History Group (2018–present), Retoriset Ryhmästrategiat (2022–2026) Major Contributions: Developed workflows integrating automated text analysis with close reading, analyzed naming patterns in medieval Novgorod, and studied affectivity in political journalism.

• Human-Computer Interaction
• Virtual Reality
• Mixed Reality
• +۵ مورد دیگر

Tovi Grossman is a prominent researcher in Human-Computer Interaction, Virtual Reality, and Artificial Intelligence. His work focuses on user interface design, error mediation in immersive environments, and AI-assisted programming education. Research Trends: His recent publications explore multimodal interaction techniques in VR, AI-generated code scaffolding for novices, and mixed reality systems for collaborative tasks. Key themes include: Context-aware interfaces Gaze and gesture input systems LLM integration in educational tools 3D spatial navigation and telepresence Collaborative Work spans institutions and disciplines, with recurring partnerships in VR design, robotics, and educational technology.

• Data Visualization
• Digital Humanities
• Urban Complexity
• +۷ مورد دیگر

Prof. Dr. Marian Dörk is a Research Professor for Information Visualization & Management at the Potsdam University of Applied Sciences , where he co-directs the Urban Complexity Lab (UCLAB) since 2013. His work bridges data visualization , digital humanities , and critical design through projects like GraDiM (2023–2025) and Restaging Fashion (2020–2023). He teaches interface design and urban futures , supervising students on topics like OpenStreetMap cartography and graph-based narratives . PhD in Computer Science (2008–2012) from University of Calgary, supervised by Sheelagh Carpendale and Carey Williamson Prior roles: Research Associate at Newcastle University (2012–2013), internships at Google, Microsoft, and IBM His research focuses on critical data visualization , cultural heritage , and urban complexity , with a specific emphasis on ethical design , intersectional frameworks , and collaborative tools . Recent publications explore unfoldable graph visualizations (2023), climate journalism (2023), and discursive annotations (2025). Collaborators include institutions like Jewish Museum Berlin , SMB/SPK , and Open-Access-Büro Berlin . Key scientific awards include the Best Paper Award at VDA 2011 and Best Poster Award at AITF Tech Futures Summit 2011. His projects often involve students, exemplified by the Close-Up Cloud (2018–2020) and Amazonien as Future Lab (2021–2024). He advocates for freelance web development in academic contexts since 2001.

• Artificial Intelligence
• Biomedical Imaging
• Computer Vision
• +۵ مورد دیگر

Andreas Uhl is a University Professor in Artificial Intelligence and Human Interfaces at the Department of Computer Science, University of Salzburg. With a prolific research career spanning from 1996 to present, he has authored or co-authored 534 publications and led or participated in 59 research projects. His work demonstrates sustained academic productivity with recent publications and projects extending through 2025. Professor Uhl's research interests span multiple domains at the intersection of artificial intelligence and practical applications. His primary focus areas include computer vision, biometrics, biomedical imaging, and digital forensics, with significant contributions to pattern recognition and image analysis. His work bridges theoretical computer science with practical applications in cultural heritage preservation, medical diagnostics, and security systems, demonstrating a versatile research portfolio that addresses both fundamental challenges and real-world problems. His recent publications reveal a strong emphasis on temporal image forensics, biomedical image analysis, and biometric security. The research shows a clear trajectory toward increasingly sophisticated applications of AI in specialized domains, with particular attention to validation methodologies and limitations of current approaches. His work on cultural heritage applications demonstrates an innovative application of computer vision techniques to historical artifacts. Best paper award @ 25th ACM Symposium on Applied Computing (Applications Track), 2010 Best Paper award @ 2nd European Workshop on Visual Information Processing (EUVIP'10), 2010 IEEE Biometrics Council Best Paper Award (TBIOM), 2022 Kurt Zopf Preis, 2023 Professor Uhl actively leads multiple significant research initiatives, including the CDL-POSA project on People and Object Surface Authentication (2025-2032), Artificial Intelligence driven Biomedical Imaging Innovation (2025-2029), and the AIBIA Research and Transfer Junior Lab (2023-2025). His research group maintains active collaborations with institutions like Carnegie Mellon University, as evidenced by his recent research stay there in September 2024. The scope and duration of his current projects indicate substantial grant funding and institutional support for his research agenda. His laboratory activities focus on AI applications in biomedical imaging, border security through vehicle-integrated technologies (AutoBorder project), and cultural heritage analysis. The research environment appears to integrate academic inquiry with practical transfer through initiatives like the FFG Student Internships program, suggesting a strong commitment to both fundamental research and real-world implementation.

Hartwig Henry Hochmairمشاهده پروفایل

استاد

• Geographic Information Systems (GIS)
• Geomatics
• Spatio-Temporal Analysis
• +۸ مورد دیگر

Hartwig Henry Hochmair is a Professor of Geomatics at the School of Forest, Fisheries, and Geomatics Sciences , University of Florida, Fort Lauderdale Research and Education Center (FLREC). Since joining the Geomatics program in 2008, he has focused on spatio-temporal analysis, data quality assessment, and the application of Geographic Information Systems (GIS) to interdisciplinary challenges in transportation, natural resource management, and urban planning. His work bridges academic research with practical GIS tools, particularly through the use of freely available geospatial data sources like OpenStreetMap and USGS Topo Maps. Research Interests : Geomatics, GIS, spatio-temporal analysis, data quality evaluation, GeoAI, OpenStreetMap, invasive species monitoring, and urban canopy analysis. Teaching : Courses include SUR 3520 Measurement Science, SUR 4350/6536 Geodesy and Geodetic Positioning, SUR 5525 Least Squares Adjustment, SUR 5365 Digital Mapping, and SUR 6103 GIS Programming. Lab : Leads the Geomatics program at FLREC, focusing on geospatial data visualization, accessibility modeling, and network analysis. His recent publications emphasize the integration of AI in geospatial workflows, comparative studies of volunteered and authoritative street data, and pandemic-induced shifts in human mobility. While no formal awards are highlighted in the provided texts, his work frequently addresses environmental challenges, technological innovations in mapping, and open data accessibility.

Markus Eggمشاهده پروفایل

استاد

• Linguistics
• Register Analysis
• Metaphor Studies
• +۵ مورد دیگر

Markus Egg is a Professor at the Department of English and American Studies , Humboldt University of Berlin. He is a principal investigator in the Collaborative Research Center 1412 (CRC 1412) focused on "Register: Language Users’ Knowledge of Situational-Functional Variation". His work bridges theoretical linguistics with computational approaches, particularly in metaphor annotation, register analysis, and discourse structure. He has organized international workshops such as MeStaR (Metaphors and Stance Markers in Register Variation). Current affiliation: Humboldt University of Berlin Key projects: CRC 1412, GeRMaN (German Register Marking by Non-Literal Expressions), MeStaR workshop Research Focus: His research examines how metaphors and metonymies function as markers of register variation across different contexts, including social media (e.g., LGBTQ+ slang on Twitter), religious language, and computational linguistics. He integrates methodologies from corpus linguistics, cognitive science, and natural language processing to model register knowledge. Teaching: Regularly teaches courses on linguistics, computational semantics, and machine learning applications in language research. In 2023, he conducted a webinar on "Register marking by metaphor and metonymy" at Nakhchivan State University. Collaborations: Collaborates with institutions like Charles University (Prague), Ruhr-Universität Bochum, and Università della Calabria. Frequent collaborator: Valia Kordoni (metaphor corpus development).

David Enrique Losada Carrilمشاهده پروفایل

استاد

• Information Retrieval (IR)
• Machine Learning
• Natural Language Processing
• +۳ مورد دیگر

David Enrique Losada Carril is a Full Professor in Computer Science and Artificial Intelligence at the CiTIUS Research Center of the University of Santiago de Compostela (Spain). He holds a PhD in Computer Science (2001, University of A Coruña) and has been active in Information Retrieval (IR) research since joining the university in 2003 as a senior research fellow under the Ramón y Cajal program. BS and PhD (with honors) from University of A Coruña ACM Senior Member awardee (2011) Co-founder of the eRisk CLEF Lab for early risk detection on the internet Active in IR community with roles in ACM SIGIR, ECIR, and CLEF Research Focus spans probabilistic IR models, novelty detection, health search technologies, and mental health analysis via social media monitoring. His recent work explores large language models for depression symptom assessment and misinformation detection in health contexts. Scientific Leadership includes: Principal Investigator for projects like Big-eRisk and LudoTrack Co-author of over 20 top-tier publications (SIGIR, ECIR, ACL, ECIR, Springer series) Technical Contributions feature real-time social media analysis platforms (e.g., Catenae , eXtream ) and benchmark datasets like DepreSym for depression detection.

Patrik Vuilleumierمشاهده پروفایل

استاد

• Cognitive Neuroscience
• Affective Neuroscience
• Neuroimaging
• +۳ مورد دیگر

Professor Patrik Vuilleumier leads the neuroimaging research group at Campus Biotech, University of Geneva Faculty of Medicine. His work focuses on cerebral mechanisms of cognition, emotion, and consciousness using advanced neuroimaging techniques like fMRI and ERPs. Research explores visual object recognition, voice identification, emotion perception, and social signal processing Specializes in amygdala function and brain lesion impacts on cognitive processes Current projects examine emotion regulation, stress response, and social feedback processing through multimodal datasets including the groundbreaking Emo-FilM collection. His team investigates how emotions influence perception and behavior across various populations including healthy adults, clinical groups, and developmental samples. Recent work demonstrates that positive emotion upregulation shapes prefrontal-amygdala interplay, with sociality scores modulating connectivity between affective and social networks. The group studies both conscious and unconscious emotional processing mechanisms. Active clinical trials with adolescents examining stress vulnerability Develops therapeutic approaches for hemineglect and attention deficits 15+ peer-reviewed publications since 2020