جست‌وجوی استاد و پژوهشگر

Angel Changمشاهده پروفایل

پژوهشگر ارشد

• Computer Vision
• Machine Learning
• 3D Scene Understanding
• +۳ مورد دیگر

Angel Chang is a Hans Fischer Fellow at the Technical University of Munich (TUM), hosted by Prof. Matthias Nießner in the Visual Computing Focus Group. She holds affiliations with Simon Fraser University and Eloquent Labs. Her research bridges natural language processing with 3D scene understanding, focusing on grounding textual descriptions to 3D data through innovations like ScanNet and ShapeNet. Key contributions include dense captioning, object localization in RGB-D scans, and unified vision-language models. Her work addresses challenges in 3D scene reconstruction, CAD model alignment, and interactive environments. Notable projects include SAPIEN for simulated part-based interactions and PartNet, a benchmark for hierarchical 3D object understanding. Chang's research aims to advance AI systems that interpret and generate complex 3D environments using multimodal data. Publications span top venues like CVPR and ACM Transactions on Graphics, demonstrating impact in computer vision, robotics, and machine learning. She collaborates across institutions to develop datasets and frameworks that drive progress in digital scene modeling and human-AI collaboration.

• Knowledge Graphs
• Natural Language Processing
• Artificial Intelligence
• +۳ مورد دیگر

Antonello Meloni is a Researcher affiliated with the Faculty of Life Sciences and Technology at Wrocław University of Environmental and Life Sciences. His work focuses on advancing knowledge graphs, natural language processing (NLP), and their integration into conversational agents for scholarly and industrial applications. He collaborates extensively with experts in artificial intelligence, semantic web technologies, and data science. Key research interests include: Developing tools for text-to-KG conversion (e.g., AMR2FRED, Text2AMR2FRED) Enhancing conversational agents with knowledge graphs for applications like job market analysis and scientific QA Leveraging large language models (LLMs) for query generation and scientific analysis Designing human-centric AI architectures for Industry 5.0 Recent publications emphasize LLMs' role in scientific question answering, knowledge graph construction, and interdisciplinary applications in music heritage and labor markets. His work bridges theoretical advancements with practical tools for academia and industry.

• Memory
• False Memory
• Evolutionary Psychology
• +۳ مورد دیگر

Prof. Dr. Hıdır İlyas GÖZ serves as the Head of Department for the Psychology Doctoral Program at Üsküdar Üniversitesi's Faculty of Humanities and Social Sciences (FHSS). He holds a PhD in Education Sciences from Selçuk Üniversitesi (1992) and advanced academic titles including Professor at Acıbadem Mehmet Ali Aydınlar Üniversitesi (2017) and Associate Professor at Maltepe Üniversitesi (2007). His research focuses on memory mechanisms, false memory syndromes, evolutionary psychology, and experimental methodologies. Education: BSc in Psychology (İstanbul Üniversitesi, 1975), MSc in Sociology (Selçuk Üniversitesi, 1976), PhD in Education Sciences (Selçuk Üniversitesi, 1992) Current Roles: Head of Psychology Doctoral Program (2021–present), teaches courses like Cognitive Psychology and Research Ethics Research Projects: Investigates neural correlates of memory using EEG, focusing on word frequency effects and Fuzzy Trace Theory He has authored/co-authored over 15 peer-reviewed articles and a book chapter on topics ranging from false memory in OCD patients to urban-rural differences in childhood memory formation.

Ira Assentمشاهده پروفایل

استاد

• Machine Learning
• Data Mining
• Clustering Algorithms
• +۵ مورد دیگر

Professor Ira Assent is affiliated with the Department of Computer Science at Aarhus University. Their research focuses on machine learning, data mining, and visualization, with applications in climate science, medical informatics, and computer vision. Professor Assent leads projects such as Light-IoT (analytics on compressed IoT data), WallViz (interactive visualization for massive datasets), and eData (anomaly detection in e-science). Their work emphasizes scalable algorithms, explainable AI, and interdisciplinary applications. Recent publications address rainfall prediction using deep learning, entity summarization via knowledge graphs, and efficient clustering techniques. Projects like RainAI demonstrate contributions to weather modeling and satellite data analysis. Collaborative efforts span academic and industrial domains, with a strong emphasis on practical, user-centric solutions. Selected research contributions include advancements in density-based clustering (e.g., AnyDBC, DISCO), parallel algorithms optimized for GPUs (HUNIPU), and visualization frameworks (AVID). Their work bridges theoretical computer science with real-world challenges, such as improving decision-making through interactive visualizations and enhancing medical information retrieval systems. Ongoing projects aim to address computational efficiency in large-scale data analytics while maintaining interpretability. Key areas of innovation include explainable AI (e.g., InteDisUX), climate modeling (DROPP), and hardware-accelerated algorithms (GPU-FAST-PROCLUS). These efforts reflect a commitment to advancing both foundational methods and applied technologies that impact diverse fields from environmental science to healthcare.

Antoon Bronselaerمشاهده پروفایل

استادیار

• Data Quality
• Data Fusion
• Uncertainty Management
• +۲ مورد دیگر

Antoon Bronselaer is an Assistant Professor at Ghent University's Department of Telecommunications and Information Processing within the Faculty of Engineering and Architecture. He is an active member of the Database, Document and Content Management (DDCM) research group, focusing on advancing database theory and applications. His research centers on data quality (particularly measurement models and improvement techniques), temporal databases , data fusion , and uncertainty management in databases . Key contributions include measure-theoretic foundations for data quality assessment, dynamical order construction in data fusion, and predicate enrichment techniques for wrapper induction. Analysis of his recent publications reveals consistent innovation in data cleaning algorithms (e.g., Swipe framework), temporal data modeling, and orthographic similarity measures for graph-based text representations. His work increasingly bridges database theory with healthcare applications (e.g., statin-gait relationship studies) and digital humanities (Byzantine epigrams project). No scientific awards are mentioned in the source materials. Dr. Bronselaer's academic guidance includes formal advisees at Ghent University, though specific student names aren't documented in the provided texts. His research is supported through university positions and likely Belgian/Flemish research grants given his publication venues. Current projects involve automated news update analysis, persistent identifier validation, and syntactic interoperability frameworks. He leads research within the DDCM group, specializing in data quality measurement systems and temporal data management solutions. Recent work demonstrates expansion into healthcare data analytics and cultural heritage informatics while maintaining core expertise in database theory.

Stefan Woltranمشاهده پروفایل

استاد

• Artificial Intelligence
• Knowledge Representation and Reasoning
• Abstract Argumentation
• +۳ مورد دیگر

Stefan Woltran is a Professor at TU Wien, affiliated with the Research Group Databases and Artificial Intelligence. His work focuses on formal methods in AI, particularly in abstract argumentation frameworks, knowledge representation, and computational logic. He leads research initiatives exploring semantics analysis, preference handling in argumentation, and algorithmic optimizations for complex reasoning tasks. His contributions bridge theoretical foundations with practical applications in logic programming and automated reasoning. Research Interests: Abstract Argumentation (semantics, expressiveness, complexity) Answer Set Programming (grounding optimization, formal properties) Knowledge Representation (formal systems, computational complexity) Algorithm Design (tree decompositions, dynamic programming) Publications reflect advancements in argumentation theory, logic-based AI, and algorithmic problem-solving. He supervises PhD students in these areas and collaborates on projects addressing bottlenecks in automated reasoning systems.

• Databases
• Data Modeling
• Software Security
• +۳ مورد دیگر

Roger Midtstraum is a Professor at the Department of Computer Science , Norwegian University of Science and Technology (NTNU), and currently serves as the Vice Dean for Education at the Faculty of Information Technology and Electrical Engineering. He previously held leadership roles including Dean of Engineering Education (2013-2017), Chairman of UHR-MNT (2016-2018), and Chairman of NRT (2013-2016). His career spans academia and technical innovation, with affiliations across institutions like Universitetet i Nordland, Tapir Akademisk Forlag, and ACM Publications. Research interests include software security , digital rights management (DRM) , multimedia systems , and data modeling . His work explores tamper protection in online clients, anti-cheating mechanisms in gaming, secure dissemination of temporal media, and metadata-driven search methodologies (e.g., the SESAM framework). Publications reflect interdisciplinary applications in supply chain management , mobile services , and image processing , with trends toward integrating security , QoS , and semantic networks . Notable collaborations include co-authors Gisle Grimen , Christian Mönch , and Alf Inge Wang . Teaching includes courses like TDT4145 - Data Modelling, Databases and Database Management Systems . He emphasizes curriculum innovation , as seen in his 2012 Textbook: IT Grunnkurs , and leadership in educational policy through roles in national councils (UHR-MNT, NRT).

• Data Mining
• Machine Learning
• Artificial Intelligence
• +۴ مورد دیگر

Jyrki Nummenmaa is a Professor at the Faculty of Information Technology and Communication Sciences, Department of Computing Sciences at Tampere University. He holds an ORCID ID (0000-0002-7476-7840) and can be contacted via jyrki.nummenmaa@tuni.fi. His research focuses on data mining, machine learning, natural language processing, and database systems. Key research interests include computational methods for analyzing political language, RDF graph processing, ethical AI security systems, and sequential pattern mining. He has collaborated extensively with researchers such as Peltonen J., Zimina E., and Duan L. Recent publications (2022–2024) emphasize interdisciplinary applications like parliamentary discourse analysis and transparent question-answering systems. He has edited conference proceedings and contributed to over 100 peer-reviewed works since 1992. His work spans theoretical advancements (e.g., fair neighbor embeddings, nonparametric graph embeddings) and applied solutions (e.g., bus delay analysis, health-e-living simulations). Notable projects include TraQuLA for RDF querying and PiHVI for forum posting analysis.

• Distributed Databases
• Object-Oriented Databases
• Internet Databases
• +۹ مورد دیگر

Erich Neuhold is a Professor of Computer Science at the University of Vienna and Darmstadt University of Technology. He holds honorary professorships at several institutions, including the University of Guiyang and the New Jersey Institute of Technology. His career spans over five decades, with roles as Director of the Fraunhofer Institute for Integrated Publication and Information Systems (IPSI) and professorships at multiple universities globally. Education: Erich Neuhold earned a Dipl.-Ing. (M.S.) in Electronics and a Dr.-techn. (PhD) in Mathematics and Computer Science from the Technical University of Vienna. He holds special honors in his academic career, including Fellowships from IEEE and the Gesellschaft für Informatik. Research Interests: His work focuses on distributed databases, object-oriented systems, internet databases, information retrieval, semantic web, interoperability, and applications in digital libraries, e-science, and e-government. He pioneered advancements in transaction models, multimedia databases, and semantic integration frameworks. Publications: Over 200 papers and four books, with recent contributions including retrospectives on computing history and foundational work in supercomputing architectures. His articles reflect deep engagement with historical and future trends in computer science. Awards: Recognitions include the Meritorious Service Award from IEEE, medals from academic institutions, and honorary professorships worldwide. Grants & Labs: Led projects like the POREL distributed database system and contributed to initiatives like the EU’s FRESCO e-science cockpit. His work spans academic-industrial collaborations, with budget leadership at IPSI (€10M/year). Labs/Teams: Co-founded the Fraunhofer IPSI and directed research teams in Austria, Germany, and internationally, emphasizing interdisciplinary collaboration in information systems.

Sung-Gheel Jangمشاهده پروفایل

مدرس

• Geospatial Sciences
• Geographic Information Systems (GIS)
• Urban Sustainability
• +۳ مورد دیگر

Sung-Gheel Jang is a Lecturer and Faculty Director of Geospatial Sciences at the School of Marine and Atmospheric Sciences (SoMAS), Stony Brook University. He specializes in geospatial sciences and geographic information systems (GIS), directing the Geospatial Center and overseeing certificate programs in Geospatial Science. His work integrates GIS with urban sustainability, public health, and climate resilience. Education: Ph.D. in Regional Planning from the University of Illinois at Urbana-Champaign; MA in City Planning and BS in Landscape Architecture from Seoul National University. Research: Focuses on geospatial narratives, GIS database design, coastal zone management, and interdisciplinary projects like the Mapping Long Island initiative. Recent work includes climate risk mapping for Long Island and FAHSS-funded cultural mapping of Latino communities. Collaborates with historians and engineers to apply GIS in diverse fields. Teaching: Offers courses on digital cartography, geospatial problem-solving, and GIS project management, emphasizing hands-on learning. Developed an online geospatial portal for teaching/research. Labs & Projects: Leads the Geospatial Center and contributes to ISO standards (e.g., ISO 19134 for multimodal navigation). Current projects include NYS RISE-funded flood risk analysis and the Cultural Social Map of Latino Long Island.

Louise Pape-Haugaardمشاهده پروفایل

دانشیار

• Medical Informatics
• Health Technology
• Electronic Health Records
• +۳ مورد دیگر

Louise Pape-Haugaard is an Associate Professor and Vice-head for Teaching at Aalborg University's Department of Health Science and Technology within the Faculty of Medicine. She leads studies for health technology and medical informatics programs and serves as Head of Studies for relevant programs under HT and SsPh. Her affiliations include the Danish Centre for Health Informatics, Medical Informatics and Image Analysis group, and HEALTH-PBL initiative. Her research examines health informatics systems with emphasis on electronic health records, patient-generated health data integration, consent management architectures, and clinical decision support systems. Work spans data quality assurance, interoperability standards, and technology implementation in wound care, diabetes management, and rehabilitation services. Recent publications focus on consent management frameworks for patient-generated health data (2024), implementation challenges in electronic health record documentation (2023), and case-based reasoning systems for diabetic foot care (2022). Projects include CAPABLE (2019-2022) empowering citizens' health data use and national database quality assurance initiatives. Awards include teaching excellence honors from Studienævn for Sundhed (2018), Teknoantropologi (2017, 2014). She directs datasets on therapist experiences with EHR documentation and reablement practices.

• Global Education
• Decolonizing Higher Education
• Antiracist Education
• +۸ مورد دیگر

Dalila Pinto Coelho is a Researcher at the Centre for Research and Intervention in Education (CIIE), Faculty of Psychology and Educational Sciences, University of Porto, Portugal. She is actively involved in national and international research on global education, decolonizing higher education, antiracist pedagogy, and sustainable development. She leads multiple funded projects and collaborates with academic networks across Europe, Latin America, and Africa. PhD in Educational Sciences, University of Porto (2019) 5-year degree in Educational Sciences, University of Coimbra (2004) Specialized training in supervision and evaluation in education, University of Aveiro (2013) Her research focuses on education for socially just futures , particularly through two interconnected strands: sustainable development and global education; and postcolonial, decolonial, and antiracist issues in education and international development. She examines the role of higher education in advancing the 2030 Agenda, antiracist teacher training, and transformative learning. The recent publications and projects reflect a strong trend toward critical, decolonial, and transformative approaches in global and development education. Her work emphasizes epistemic justice, policy-practice gaps, and civil society-academia collaboration, often through international comparative studies and multilingual research synthesis. Four FCT contracts awarded CEEC contract (2024–2030) Member, COST Action on Decolonising Development (2020–2024) Expert contributor for multiple international editions of Global Education Digest She supervises postgraduate researchers in Europe and East Africa and is a member of international teams, including UCL’s Academic Network on Global Education and Sinergias, a community of practice bridging civil society and academia. She serves on the editorial board of the journal Sinergias and contributes extensively as a reviewer and editor. She has led evaluations of Portugal’s National Strategy for Development Education and is a member of the European Commission’s multistakeholder group on Development Education and Awareness Raising. Dalila integrates CIIE’s Community of Practice on Participation, Communities, and Political Education and contributes to long-term collaborations focused on knowledge democratization and transformative education.

Pedro Mogorrón Huertaمشاهده پروفایل

استاد

• Translation Studies
• Phraseology
• Diatopic Variation
• +۴ مورد دیگر

Pedro Mogorrón Huerta is a full Professor of French at the University of Alicante's Department of Translation and Interpretation (Faculty of Philosophy and Letters). He holds a PhD in Romance Philology from the University of Valencia. His research focuses on phraseology, diatopic variation in Spanish, cultural references in translation, and audiovisual translation techniques. He has directed over 30 doctoral theses, most recently on topics like geolinguistic analysis of tourist language and phraseological pragmatics in literary novels. He coordinates major research projects such as the Frasytram database initiative and has published extensively in lexicology and translation studies. Teaches courses on professional ethics, technical/scientific translation, and audiovisual translation Coordinated the Department of Translation and Interpretation from 2009-2017 Prominent publications include Fraseología, Diatopía y Traducción (2018) and Didáctica y traducción de las unidades fraseológicas (2014) His research emphasizes lexicographical tools for translators, with recent contributions on fixed verbal constructions and cultural mediation in multilingual contexts. He actively participates in international conferences discussing translation challenges in legal and audiovisual domains.

• Classics
• Linguistics
• Digital Humanities
• +۳ مورد دیگر

Maria Papadopoulou serves as an Associated Researcher at the LISTIC laboratory of University Savoie Mont Blanc, France, specializing in the intersection of philological traditions and computational methods. Her work bridges Classics, Linguistics, and Digital Humanities through innovative applications of Semantic Web technologies for cultural heritage documentation. Her research focuses on ontology and terminology development for material culture studies, particularly ancient Greek dress and Chinese ceramics. She pioneers humanist-centered approaches to knowledge representation, creating tools like Tedi for multilingual terminology ontologization. Her methodology emphasizes accessibility for non-technical scholars while maintaining computational rigor in semantic modeling. Analysis of her publication trends reveals consistent innovation in domain-specific ontologies, with increasing emphasis on cross-cultural applications (Greek/Chinese) and pedagogical frameworks for digital humanities. Her work demonstrates how formal ontologies can resolve ambiguities in historical terminology while preserving cultural context. Scientific recognition includes: Best paper award at SEMAPRO 2018 for advancing multilingual terminology platforms Papadopoulou actively mentors through post-graduate instruction across international institutions including University Savoie Mont Blanc, Liaocheng University, and Nanjing University NUAA. Her teaching materials integrate AI applications with classical philology, reflecting her commitment to training next-generation digital humanists. She operates within the LISTIC laboratory's interdisciplinary framework, collaborating with computer scientists and domain experts to develop the TAO CI project for cultural heritage terminology. Her current work focuses on scaling ontology-based dictionaries for global humanities research while addressing challenges of semantic interoperability across linguistic traditions.

Eleanor Chodroffمشاهده پروفایل

مدرس

• Phonetics
• Phonology
• Phonetics-Phonology Interface
• +۱۰ مورد دیگر

Eleanor Chodroff is a Lecturer in Phonetics and Phonology at the Department of Language and Linguistic Science, University of York, a position she has held since April 2019. She previously served as a Postdoctoral Researcher at Northwestern University (2017–2019). Her academic journey includes a PhD and MA in Cognitive Science from Johns Hopkins University and a BA in German and Linguistics from New York University. Her research centers on phonetics, phonology, and speech perception, particularly structured variation in speech, the phonetics-phonology interface, prosody, and perceptual adaptation. She integrates methods from experimental and corpus linguistics, automatic speech recognition, and cognitive psychology to explore how speech is represented in the mind and brain. Her recent publications span topics such as phonetic covariation, voice onset time, sibilant fricatives, intonational tunes, and forensic applications of speech analysis. Her work frequently appears in high-impact journals and conferences like the Journal of Phonetics, The Journal of the Acoustical Society of America, and Interspeech. She has also contributed to interdisciplinary efforts on methodological rigor in speech sciences. Lecturer in Phonetics and Phonology, University of York (2019–present) Postdoctoral Researcher, Northwestern University (2017–2019) PhD in Cognitive Science, Johns Hopkins University (2014–2017) MA in Cognitive Science, Johns Hopkins University (2012–2014) BA in German and Linguistics, New York University (2008–2012) Eleanor Chodroff has delivered invited talks at institutions including the University of Wisconsin–Milwaukee, Purdue University, and the University of Illinois at Urbana-Champaign. She teaches undergraduate and postgraduate courses such as Intermediate Phonetics and Phonology, Advanced Phonology, and Quantitative Methods. She collaborates widely with researchers in phonetics, sociophonetics, and computational linguistics, including Paul Foulkes, Joseph Cole, and Charlie Wilson. While no specific grants or awards are listed in the provided text, her active publication and presentation record indicate sustained research productivity and external engagement.