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Norbert HaalaView profile

Adjunct Professor

• Computer Vision
• Geoinformatics
• 3D Data Reconstruction
• +5 more

Norbert Haala is an Adjunct Professor and Deputy Director at the University of Stuttgart's Department of Photogrammetric Computer Vision. He leads the Research Group in Photogrammetric Computer Vision and is involved in ISPRS Working Group II/2 (Point Cloud Generation) and EuroSDR Commission 2 (Modelling and Processing). His work focuses on 3D data collection, SLAM algorithms, LiDAR integration, and UAV-based geospatial technologies. Research interests include image-based data collection, photogrammetric computer vision, and semantic segmentation of 3D point clouds. He has contributed to benchmarks like Hessigheim 3D and TIME, and developed tools like SURE for dense image matching. Teaching includes courses on digital image processing, terrain modeling, and computer vision. His publications emphasize real-time mapping, hybrid georeferencing, and neural surface reconstruction from airborne imagery. Projects involve UAV monitoring, indoor SLAM for robotics, and multi-modal data fusion for urban modeling. He collaborates on EuroSDR initiatives and publishes regularly in remote sensing and robotics domains.

Constantijn KalandView profile

Lecturer

• Experimental phonetics
• Prosody
• Speech production and perception
• +2 more

Dr. Constantijn Kaland is a Lecturer in Word Prosody & Laboratory Phonology at the University of Cologne since 2022, specializing in experimental phonetics and prosodic analysis. His research focuses on Speech production and perception , particularly in Papuan Malay , with interests in Language typology and Acoustic phonetics . He has previously held positions at Utrecht University, Free University of Bolzano, and University of Malta. Education: PhD (2014) in Prosodic marking of semantic contrasts, Tilburg University MA (2009) in Clinical and Experimental Linguistics, Leiden University BA (2007) in General Linguistics, Leiden University His research explores the acoustic correlates of prosody, including fundamental frequency (F0) analysis, stress perception, and the interaction of tone and intonation. Using computational tools like contour clustering, he investigates prototypical F0 patterns and their functional implications in speech processing. Publications span journals such as The Journal of the Acoustical Society of America and Journal of Phonetics , focusing on cross-linguistic prosody and speech technology. Dr. Kaland has taught courses on prosody at the University of Cologne, Utrecht University, and University of Malta. His work bridges theoretical and applied phonetics, with methodological contributions to analyzing prosodic patterns in field data.

John BreslinView profile

Professor

• Data Science
• Artificial Intelligence
• Social Semantics
• +7 more

John Breslin is a Personal Professor in Electronic Engineering at the University of Galway, leading the TechInnovate/AgInnovate programs. His roles include Director of the Insight (Data Analytics) and VistaMilk (AgTech) research centers. He has authored 350+ publications and co-created the SIOC framework, widely used in web applications. His research spans Data Science, AI, Semantic Web, IoT, and Entrepreneurship. He has won multiple awards, including the Best Irish-Published Book and IIA Net Visionary Awards. His teaching spans 25 years, covering topics like Digital Control Systems and Innovation. He co-founded boards.ie, StreamGlider, and leads initiatives in Galway's innovation ecosystem. Research Interests: Data Science, AI, Social Semantics, IoT, Agricultural Technology, and Innovation. He is ranked top in Engineering and Computer Science citations at the University of Galway. His work contributes to UN SDGs related to Industry, Innovation, and Infrastructure. Education: Details not explicitly provided in text. Collaborations include Bosch, Cisco, IBM, and Harvard Medical School. Active in industry partnerships and startups, including the PorterShed Innovation District. Awards: Best Paper Awards, Entrepreneurship Recognition, and Academic Excellence. Supervised nearly 30,000 ECTS across modules, with a focus on graduate and postgraduate tech innovation programs.

Ilya ShapirovskiyView profile

Assistant Professor

• Modal Logic
• Mathematical Logic
• Foundations of Mathematics
• +5 more

Ilya Shapirovskiy is an Assistant Professor in the Department of Mathematical Sciences at New Mexico State University's College of Arts & Sciences. His academic position is listed as Tenure Track Faculty within the university's mathematics department structure. Shapirovskiy's research focuses on advanced topics in mathematical logic, particularly modal logic and its applications. His work spans Kripke frame theory, decidability problems, local tabularity conditions, and connections between modal logic and graph theory. His publications demonstrate expertise in both theoretical foundations and computational aspects of logic systems. Analysis of his recent publications (2016-2025) reveals a consistent research trajectory centered on frame constructions, decidability conditions, and completeness results for various modal logics. His work frequently addresses the finite model property, local tabularity criteria, and relationships between logical systems and mathematical structures like well-orders and graph colorings. The publications appear in leading logic venues including Advances in Modal Logic, Journal of Symbolic Logic, and Studia Logica. Shapirovskiy maintains active scholarly engagement through presentations at major logic conferences including the Association for Symbolic Logic Annual Meeting, Logic Colloquium, and Advances in Modal Logic workshops. His recent talks address topics such as expressibility in distance logics, decidability of modal logics of non-k-colorable graphs, and locally finite polymodal logics.

Matthias SpringsteinView profile

Researcher

• Computer Vision
• Deep Learning
• Multimedia Information Retrieval
• +5 more

Matthias Springstein is a researcher at the Technical Information Library (TIB), which is affiliated with Leibniz University Hannover. He is part of the Visual Analytics research group within TIB's Research & Development department, focusing on advanced computer vision and multimedia information retrieval techniques. His research interests span multiple areas of artificial intelligence with emphasis on computer vision applications. Springstein specializes in web-supervised learning for visual concepts, incremental learning approaches, and methods to minimize manual labeling efforts for training data. His work bridges theoretical machine learning with practical applications in digital humanities, particularly in art-historical image analysis and film/video studies. His publication record shows a consistent focus on multimodal analysis, with recent work exploring knowledge graphs for image classification, large-scale hierarchical classification of art-historical images, and computational tools for film analysis. The research demonstrates progression from foundational work in image-text relations and depth estimation toward increasingly sophisticated applications in cultural heritage and scholarly media analysis. Notable achievements include receiving the Best Paper Award at the International Conference on Multimedia Retrieval (ICMR) in 2019 for his work on semantic image-text relations. Springstein has developed TIB AV-Analytics, a computational platform for scholarly video analysis that has been presented at multiple major conferences (SIGIR 2023, SCSMI 2024), indicating significant impact in both the information retrieval and film studies communities.

Th. HummelView profile

Professor

• Olfaction
• Gustation
• Chemoreception
• +7 more

Prof. Dr. med. Th. Hummel is a senior physician and department head at the ENT Clinic of the Carl Gustav Carus Medical Faculty, Technical University of Dresden. He leads the Interdisciplinary Center for Smell and Taste and the 'Smell and Taste' department, with a distinguished career in clinical and research aspects of chemosensory function. Education: Human Medicine, University of Erlangen-Nuremberg (1980–1986) Promotion (MD Thesis), University of Erlangen-Nuremberg (1987) Habilitation in Pharmacology and Toxicology, University of Erlangen-Nuremberg (1996) Extraordinary Professorship, TU Dresden (2003) His research focuses on the physiology and pharmacology of smell, taste, and trigeminal sensation , employing psychophysical, electrophysiological, and neuroimaging methods. He investigates chemosensory dysfunction in neurological (Parkinson’s, Alzheimer’s), psychiatric (schizophrenia), and systemic conditions, as well as post-traumatic and post-infectious loss. His work includes developing diagnostic tools like the Sniffin’ Sticks and Universal Sniff Test. Analysis of his recent publications reveals a strong emphasis on olfactory training, neural correlates of smell, chemosensory changes in disease, and methodological innovation in sensory testing , often using fMRI, EEG, and large-scale clinical data. Scientific Awards: ECRO Award for Excellence in Chemosensory Research (1996) Alexander von Humboldt Prize (2009) Professor Dr. Ludwig-Haymann Prize (2018) Prof. Hummel has held editorial roles in major journals including Chemical Senses , European Archives of Otorhinolaryngology , and PLoS One . He has not explicitly listed advisees, but his extensive collaborative network suggests mentorship of junior researchers. His research is supported by numerous publications and high citation metrics (h-index 114, over 52,000 citations). He is actively involved in multiple research consortia across Germany, Austria, and Switzerland, focusing on smell and taste disorders. His lab contributes to both clinical diagnostics and fundamental neuroscience of chemoreception.

Tingjian GeView profile

Professor

• Data Management
• Uncertain Data
• Scientific Data
• +6 more

Tingjian Ge is a Professor at the Miner School of Computer & Information Sciences , part of the Kennedy College of Sciences at the University of Massachusetts Lowell. He serves as the Graduate Coordinator for MS Programs and specializes in data management systems, focusing on probabilistic and uncertain data, scientific data, and data security and privacy. Education : B.E. (Tsinghua University), M.S. (University of California, Davis), Ph.D. (Brown University) His research spans data management, with emphasis on uncertain data processing, graph stream analysis, and blockchain applications. Recent work includes methods for real-time predictive event monitoring, fairness-aware analytics in dynamic networks, and security enhancements for blockchain systems. Key publication trends highlight contributions to resource optimization in graph streams, recommender systems, and cybersecurity. His expertise intersects database theory, privacy-preserving techniques, and networked data analysis.

Haohan WangView profile

Assistant Professor

• Trustworthy Machine Learning
• Computational Biology
• Healthcare Applications
• +5 more

Haohan Wang is an Assistant Professor at the University of Illinois Urbana-Champaign's School of Information Sciences, with affiliations to the Carl R. Woese Institute for Genomic Biology and the National Center for Supercomputing Applications. His research focuses on developing trustworthy machine learning methods for computational biology and healthcare applications , emphasizing robustness , causality , and interpretability in vision-based models. Recent research trends in his work include: Large Language Model interactions with biomedical challenges (GenoAgent, GenoTex) Adversarial security in language and vision models (Guard, Jailbreakzoo) Genomic data analysis through robust machine learning frameworks (Precision Lasso, Kernel Mixed Models) Interactive toolkits like Robustar for data annotation and model training Scientific awards include recognition as Baidu's Top 50 AI+X Rising Young Scholars (2022), Best Paper Honorable Mention at WSDM 2023, and Broad Institute's Next Generation status (2019). Current projects explore AI-made scientists for biomedical discovery and Robustar development for GUI-based robust vision learning.

Erika RanioloView profile

Professor

• Translation Studies
• Sign Language (LIS/LSF/ASL/IS)
• Onomastics
• +5 more

Erika Raniolo is a Contract Professor of Glottology and Linguistics at the University of Catania 's Special Teaching Structure of Ragusa. She holds a permanent position as Tenured French Language Teacher (AA24) at the G. Curcio Higher Education Institute in Ispica since the 2024/2025 academic year. Her academic journey includes a PhD in Literary, Philological-Linguistic, and Historical-Philosophical Studies (University of Palermo, 2021) and advanced degrees in European and Non-European Languages (Catania, 2013) and Comparative Studies (Catania, 2011). Education: PhD in Literary, Philological-Linguistic, and Historical-Philosophical Studies (2021, University of Palermo) Master's in European and Non-European Languages and Cultures (2013, University of Catania) Bachelor's in Comparative Studies (2011, University of Catania) Research Interests center on poetic translation between sign and spoken languages, onomastics in signed languages, labializations in LIS, and teaching vocal languages to deaf individuals. She explores multimodal communication and sensory linguistic competence through comparative analysis of LIS (Italian Sign Language) and LSF (French Sign Language). Publications demonstrate expertise in: translating poetry through embodied perspectives; tactile sign language (LISt) for deafblind education; name signs in LIS; labialization studies; medical communication between deaf and hearing people; and pandemic-era sign language translation. Her work spans journal articles, book chapters, and a monograph on sign language poetry. Key Conferences: 2024: Accessibility and Cultural Heritage (Catania) 2023: Alterity in Poetry (Catania); Vertical Curriculum in English (Torino) 2022: LIS/LSF Comparative Study (Palermo); Tactile LIS (Catania) Professional Contributions include a Research Grant (2022/2023) on LIS/LSF in Sicilian cultural heritage, teaching LIS and French at the University of Catania for 5 consecutive academic years, and collaborative work with institutions like CNRS Paris, Université d'Ottawa, and BAICR Cultura della Relazione. She serves as a certified LIS interpreter (ANIMU #293) and holds advanced language certifications in French (C2), English (C1), German (B1), and Spanish (B1).

Elke TeichView profile

Professor

• Computational Linguistics
• Corpus Linguistics
• English Linguistics
• +12 more

Elke Teich is a Professor of English Linguistics and Translation Studies at Saarland University, where she leads the Department of Linguistics and Language Technology. She serves as spokesperson for the Collaborative Research Center SFB 1102 Information Density and Linguistic Encoding , funded by the DFG, and heads the Saarbrücken CLARIN-D Center. Her work bridges computational linguistics, corpus analysis, and translation studies, with a strong focus on diachronic and register-based language variation. Education and Affiliations: Professor, Saarland University Spokesperson, SFB 1102 (DFG-funded) Head, CLARIN-D Saarbrücken Former member, Cluster of Excellence Multimodal Computing and Interaction Previous affiliations: TU Darmstadt, University of Sydney, ISI Los Angeles Research Interests: Elke Teich's research centers on language variation and change in scientific English, using computational models and information-theoretic measures like surprisal, entropy, and relative entropy. She investigates how communicative concerns shape linguistic encoding, particularly in translation and historical texts. Her work combines corpus linguistics, NLP, and cognitive perspectives under the framework of rational communication. Publication Trends: Her recent publications focus on diachronic analysis of scientific writing using the Royal Society Corpus, probabilistic modeling of translationese, and infrastructure development for language resources (e.g., Text+, CLARIN-D). There is a strong emphasis on interdisciplinary methods, combining data mining, syntactic annotation, and information theory to explore linguistic evolution. Scientific Awards: No awards explicitly mentioned in the text. Advising and Grants: Elke Teich leads a research group at Saarland University and supervises students in the Bachelor's program Language Science and Master's program Translation Science and Technology . She has secured significant funding through the DFG SFB 1102 and participates in national research data infrastructure initiatives like NFDI Text+. Her team includes research assistants and collaborators such as Stefan Fischer, Jörg Knappen, and Tom S. Juzek. Labs and Teams: Her research group is part of the Department of Language Science and Technology and is actively involved in the CLARIN-D consortium. The team develops and maintains corpora like the Royal Society Corpus and EuroParl-UdS, and works on tools for annotation, metadata generation, and text mining.

Daniel SonntagView profile

Professor

• Intelligent User Interfaces
• Natural Language Processing
• Information Retrieval
• +7 more

Prof. Dr.-Ing. Daniel Sonntag serves as Scientific Director of Interactive Machine Learning at the German Research Center for Artificial Intelligence (DFKI) and holds an Endowed Chair of Applied Artificial Intelligence at University of Oldenburg. He leads multiple significant research initiatives including No-IDLE (Interactive Deep Learning Enterprise), MASTER (Mixed reality ecosystem for teaching robotics), Ophthalmo-AI (intelligent eye care diagnostics), pAItient (AI applications in medicine), and XAINES (explainable AI with narratives). His research spans intelligent user interfaces, natural language processing, information retrieval, dialogue systems, common-sense modeling, and explainable machine learning methods for cognitive computing. His work particularly focuses on multimodal-multisensor interfaces for medical and health systems and Industry 4.0 applications. His research has had industrial impact, with SmartWeb's multimodal interaction design forming the technical infrastructure for Apple's Siri. His recent publications demonstrate strong trends in medical AI applications, particularly in eye tracking, radiology report generation with enhanced interpretability, and interactive federated learning frameworks. His work consistently bridges theoretical AI advances with practical medical and industrial applications. German High Tech Champion Award (2011) As a principal investigator, Sonntag leads national and European projects funded by the Federal Ministry of Education and Research, Federal Ministry for Economic Affairs and Energy, Federal Ministry of Health, and Horizon Europe. He has supervised numerous researchers including Michael Barz, Jan Zacharias, and Alexander Prange across multiple projects. His research group has successfully transitioned technologies to industry, with former researchers joining companies like Apple, Wacom, and Semvox. Sonntag's laboratory work centers on the Interactive Machine Learning department at DFKI, with strong connections to medical institutions and industry partners. His team develops cognitive assistance systems, mixed reality applications for smart factories, and AI-based diagnostic support tools, particularly in ophthalmology and radiology.

Cheng LinView profile

Assistant Professor

• Geometric Modeling
• 3D Vision
• Shape Analysis
• +3 more

Cheng Lin is an Assistant Professor at the Department of Computer Science and Engineering, Macau University of Science and Technology (MUST). He earned his Ph.D. in Computer Science from the University of Hong Kong (HKU) under Prof. Wenping Wang and completed a visiting research period at the Visual Computing Group, Technical University of Munich (TUM), advised by Prof. Matthias Nießner. His B.Eng. degree from Shandong University focused on geometry and graphics. His research focuses on geometric modeling , 3D vision , shape analysis , and computer graphics , with recent contributions in diffusion models for 3D reconstruction, neural surface modeling , and material-aware generation . He has published extensively in top venues like SIGGRAPH, CVPR, and ECCV. Key trends in his publications include advancing single-view 3D generation , multiview consistency , and neural diffusion techniques for geometric and material reconstruction. Notable works include PDT: Point Distribution Transformation with Diffusion Models (SIGGRAPH 2025) and Wonder3D (CVPR 2024). Scientific Awards : CVPR 2024 Most Influential Papers (Corresponding Author) ICLR 2024 Most Influential Papers (First Author) CGF Top Cited Article 2022-2023 Tencent Excellent Contributor [2022] National Scholarship of China [2013-2015] Cheng Lin co-founded the non-profit research group AnySyn3D and has served as a reviewer for journals like TPAMI, TOG, and TVCG, as well as conferences including SIGGRAPH and CVPR.

• Germanic Linguistics
• Contrastive Linguistics
• Syntax
• +12 more

Pierre-Yves Modicom is a University Professor of Germanic Linguistics at the Faculty of Languages, Jean Moulin University Lyon 3. He serves as Director of the Department of German Studies, Head of the LLCER and LEA German degrees, and Vice-President for Internationalization, Europe, and Support for Component Areas. He is also co-facilitator of the 'Description and Modeling' research axis at the Center for Linguistic Studies – Corpus, Discourse and Societies (CELESTES). Research Interests: His primary research areas include Germanic and contrastive linguistics, with a focus on syntax, semantics, pragmatics, discourse markers, modal particles, information structure, and historical development of Germanic languages. He investigates the interplay between grammatical structure and discourse function, especially in older Germanic varieties and heritage language contexts. Recent Publications: His recent scholarly output reflects a strong trend in theoretical and descriptive linguistics, particularly on adverbial categorization, subject properties in Germanic, construction grammar, and discourse particles. He frequently collaborates with scholars such as Olivier Duplâtre and Camille Noûs, and his work appears in leading linguistics series from De Gruyter, John Benjamins, and Peter Lang. Scientific Contributions: He has contributed to interdisciplinary debates, including the impact of neoliberalism on science and the epistemology of linguistic knowledge. His publications span monographs, edited volumes, peer-reviewed journal articles, and book chapters in French, English, and German. Advising and Leadership: While no specific advisees are listed, he holds significant academic leadership roles, including training management for international degrees and research coordination. He is actively involved in professional associations like the Association of Germanists in Higher Education, where he served as national treasurer from 2018 to 2021. Laboratories and Teams: He is affiliated with CELESTES (Centre d'Études Linguistiques - Corpus, Discours et Sociétés) and the Cogitamus Laboratory, contributing to research on linguistic modeling, corpus-based analysis, and cognitive approaches to language.

Victoria JohanssonView profile

Professor

• Language Production
• Language Development
• Writing Processes
• +5 more

Victoria Johansson is a Professor in The Teaching and Learning of Swedish at the Faculty of Education, Kristianstad University. She leads the research environment Learning in Language and Literature (LiLL) and serves as subject representative for Swedish. Her affiliations include Lund University’s Centre for Language and Literature, where she held roles such as Deputy Director of the Humanities Laboratory (2018–2021) and Researcher in General Linguistics. PhD in Developmental Aspects of Text Production, Lund University Reader in General Linguistics, Centre for Language and Literature External positions at Lund University (2016–2024) Her research spans language production, cognitive aspects of writing, and interdisciplinary collaborations with fields like psychology, speech pathology, and cognitive science. Key methodologies include keystroke logging and eye-tracking. Recent projects include "Based on a True Story?" (2020–2025) and "Will Writing Ever Be the Same?" (VR-funded AI and writing study). Recent publications focus on cognitive effort in writing/speech, L2 writing processes, and multimodal analysis. She supervises doctoral students at Lund and Kristianstad Universities, including Kajsa Gullberg (Spoken/Written Processes) and Kristina Lundgren (Teacher Self-Efficacy). She engages in educational outreach via Läslyft, teacher guidance programs, and popular science lectures for schools, speech therapists, and policymakers. Her leadership roles include board memberships at Kristianstad University’s Forskningsplattformen Lärande I Samverkan and Lund University’s Language Acquisition, Multilingualism, and Teaching (LAMiNATE) platform. Her work contributes to the UN Sustainable Development Goal of Quality Education through literacy research, methodological innovation, and teacher training initiatives.

Anne-Lise JouenView profile

Associate Professor

• Neuroscience
• Language
• Speech
• +5 more

Anne-Lise Jouen is an Associate Professor at the Faculty of Sports Sciences, University of Burgundy, where she is affiliated with the INSERM U1093 Laboratory. She has held prestigious research positions at institutions including the University of Geneva, University of Tokyo, and Sorbonne University. Her academic credentials include: PhD in Neuroscience (2013) from Stem cell and Brain Research Institute, Claude Bernard University – Lyon I Master 2 in Engineering of Cognition, Creation and Learning (2009) from Grenoble INP Master 2 in Neuropsychology (2009) from Université Pierre Mendès France Master 1 in Cognitive Sciences (2008) from Université Lumière Lyon II Licence in Psychology and Cognitive Sciences (2007) from Université Lumière Lyon II DIU in Gerontechnology (2010) from Joseph Fourier University and others Dr. Jouen's research focuses on the intersection of neuroscience, language processing, and technology. She investigates how the brain processes language and spatial information through embodied cognition frameworks, employing neuroimaging techniques like fMRI, EEG, and fNIRS. Her recent work explores human-robot interaction for language learning and autism intervention, demonstrating through EEG monitoring that social robots increase functional connectivity in children's brains during language acquisition. Her publication record shows consistent research impact across multiple domains including semantic processing, speech production, and autism interventions. Notable projects include the GOLIAH platform for home-based autism intervention and research on telepresence robotics' impact on spatial cognition. Her scientific recognition includes the JSPS fellowship award for her post-doctoral research at the University of Tokyo. Dr. Jouen's current research trajectory includes: 2022-2023: Post-doctorate studying telepresence robotics and virtual reality effects on spatial representations at CAPS Laboratory 2017-2020: Speech production research using EEG (SNF Sinergia Project MoSpeeDi) at University of Geneva 2015-2017: Language learning via human-robot interactions at University of Tokyo 2013-2015: Autism social skills evaluation via ICT at Sorbonne University