جست‌وجوی استاد و پژوهشگر

• Cognitive Science
• Psycholinguistics
• Multilingualism
• +۴ مورد دیگر

Jon Andoni Duñabeitia is a Full Professor at the School of Languages and Education of Universidad Nebrija in Madrid. He serves as Director of the Centro de Investigación Nebrija en Cognición (CINC) and the International Chair in Cognitive Health . With an h-index of 43 (Scopus), he has published 170+ articles across psycholinguistics, multilingualism, cognitive training, and virtual reality applications in education. His research examines how language processing interacts with cognitive load, emotional modulation, and technological innovation. Principal Investigator for 8+ projects funded by Spanish Government, Basque Government, BBVA Foundation Associate Editor and Editorial Board Member of high-impact journals Recognized among Spain's top 3% scientists across all disciplines Recent publications span topics including: Second-language reading dynamics in VR environments Multilingual cognitive interactions in neurological conditions Emoji/typographic effects on word processing Computerized cognitive assessment and training systems He actively contributes to scientific meetings as invited speaker across Europe, Asia, and Americas. His work bridges basic research in psycholinguistics with applied technologies for cognitive health.

Thomas Weitinمشاهده پروفایل

استاد

• Digital Literary Studies
• Cognitive Humanities
• Text Corpus Analysis
• +۶ مورد دیگر

Professor Thomas Weitin is a leading scholar at Darmstadt University of Technology's Institute of Linguistics and Literary Studies, where he heads the German Studies - Digital Literary Studies department. As Director of the LitLab, he bridges traditional literary scholarship with cutting-edge computational and cognitive science methodologies. His work positions him at the forefront of the digital humanities movement in Germany. Weitin's research focuses on the intersection of digital literary studies and cognitive science, particularly examining how humans process literary texts through methods like eye-tracking, EEG, and physiological measurements. His 'Reading at Scale' project analyzes 19th-century German novellas to explore the middle ground between close reading and distant reading approaches. Weitin argues against the simplistic 'close vs. distant reading' dichotomy, advocating instead for methodologically appropriate scale selection based on specific research questions. Analysis of Weitin's recent publications reveals a strong interdisciplinary approach combining literary theory, cognitive neuroscience, and data science. His work increasingly incorporates empirical methods to study reading processes, moving beyond purely textual analysis to investigate the physiological and cognitive dimensions of literary reception. This represents a significant methodological shift in literary studies toward evidence-based approaches to understanding how literature affects readers. Weitin maintains significant leadership roles including membership on the Editorial Board of Frontiers in Human Neuroscience, Senior Editorship of Open Library of Humanities, and Executive Board membership of the Digital Humanities Cooperation between TU Darmstadt and the University of Konstanz. He serves as a reviewer for major funding organizations including the German Research Foundation (DFG) and the Science Council. At the LitLab, Weitin oversees research infrastructure including eye-tracking equipment (both stationary and mobile glasses), EEG amplifiers, and physiological measurement devices for pulse, heart activity, and skin conductance. This sophisticated laboratory enables multimodal studies of reading that combine textual analysis with direct measurement of reader responses, representing a novel approach to literary scholarship.

Mario Kubekمشاهده پروفایل

استادیار

• Artificial Intelligence
• Text Mining
• Natural Language Processing
• +۱۰ مورد دیگر

Mario M. Kubek is an Assistant Professor in the Department of Computer Science at Georgia State University. He holds a Dipl.-Inf. (2005) from Ilmenau University of Technology, Germany, a Dr.-Ing. (2012) from the University of Hagen, Germany, and a Habilitation (2018) from the same institution. His research spans artificial intelligence, text mining, natural language processing, and security in mobile communication systems. Education: Dipl.-Inf. (2005), Dr.-Ing. (2012), Habilitation (2018) all in Computer Science His recent work focuses on decentralized web search engines, network-based natural language processing, and contextual search algorithms. He has authored over 40 publications and five books, with expertise in large-scale distributed systems and mobile communication security. The DocAnalyser service he co-developed demonstrates his contributions to automated topic extraction and document analysis.

Leanna L. Houseمشاهده پروفایل

دانشیار

• Bayesian Statistical Modeling
• Uncertainty Analysis
• Data Mining
• +۵ مورد دیگر

Leanna L. House is an Associate Professor in the Department of Statistics at Virginia Tech's College of Science. She specializes in Bayesian statistical modeling, with a focus on model averaging, kernel regression, and uncertainty analysis of computer models. Her research spans applications in proteomics, bioinformatics, cosmology, climatology, and hydrology. She teaches courses such as Applied Bayesian Statistics and Hierarchical Models, emphasizing data visualization and interactive analytics. Education: Ph.D. in Statistics, Duke University (2006) M.S. in Statistics, Duke University (2003) M.A.T. in Curriculum Development, Cornell University (1999) B.S. in Biometry and Statistics, Cornell University (1998) Her work integrates data mining and visualization to enhance human-data interaction, with notable contributions to environmental modeling and proteomic analysis. She collaborates on interdisciplinary projects, including climate change studies and route choice models in transportation systems.

Nikitas Karanikolasمشاهده پروفایل

استاد

• Natural Language Processing and Understanding
• Computational Linguistics
• Computational Phonology
• +۷ مورد دیگر

Nikitas Karanikolas serves as Professor in the Department of Informatics and Computer Engineering at the University of West Attica since March 2018, following a distinguished career progression from Assistant Professor (2004) to Associate Professor (2010) and Professor (2014) at the Technological Educational Institute of Athens. His professional trajectory includes significant roles as Systems Head of TEI Athens Library (1996-1997) and Chief of Informatics at Aretaieio University Hospital (1997-2004), alongside leadership positions in the Greek Computer Society as Board Member (2004-2006) and Secretary General (2006-2008). His academic foundation includes: Bachelor's in Statistics and Informatics from Athens University of Economics and Business (1988) PhD in Applied Informatics from Athens University of Economics and Business (1994) with thesis "Technological and Linguistic approaches in Natural Language Understanding" Dr. Karanikolas maintains an exceptionally broad research portfolio spanning Natural Language Processing , Computational Linguistics , Medical Informatics , and Green Energy systems. His work consistently bridges theoretical computational frameworks with practical healthcare applications, particularly evident in recent dementia care technologies and Greek language processing systems. The interdisciplinary nature of his research connects computational phonology with medical diagnostics and e-government applications. Analysis of his 15 most recent publications reveals a pronounced shift toward AI-driven healthcare solutions (particularly dementia patient monitoring), multilingual NLP systems (Greek and Polish), and urban safety applications . His work demonstrates consistent methodology development in ontological representations and multimodal fusion techniques, with increasing emphasis on real-world clinical and governmental implementations since 2023. No scientific awards were documented in the source materials. With 16 journal papers, 68 conference publications, and six authoritative Greek university textbooks, Dr. Karanikolas maintains an active research trajectory. His advising capacity is evidenced through extensive publication mentorship, particularly in medical informatics and NLP projects. While specific grant details are unavailable, his hospital information system implementations and textbook authorship suggest successful research funding acquisition. Current research activities focus on multimodal aggression prediction systems for dementia care, Greek language ontological frameworks, and urban navigation safety applications, primarily conducted through the University of West Attica's informatics infrastructure.

Rohan Alexanderمشاهده پروفایل

استادیار

• Quantitative Social Science
• Bayesian Methods
• Text as Data
• +۴ مورد دیگر

Rohan Alexander is an Assistant Professor jointly appointed in the Faculty of Information and the Department of Statistical Sciences at the University of Toronto. His research focuses on improving the trustworthiness of data science through rigorous workflows, including reproducibility and bias mitigation. He co-founded The Data Workshop, a platform for data science best practices, and authored Telling Stories With Data , a book emphasizing reproducible methods. Rohan holds a PhD in Economics from the Australian National University, specializing in economic history. Rohan’s academic roles include Assistant Director of CANSSI Ontario and Senior Fellow at Massey College. His teaching includes courses like Experimental Design for Data Science and Worlds Become Data . He actively contributes to interdisciplinary initiatives like the Schwartz Reisman Institute for Technology and Society. His research interests span quantitative social science, Bayesian methods, text analysis, and computational reproducibility. He emphasizes code transparency and testing in data science projects. Rohan’s work addresses challenges in data measurement, such as systematic missingness, and explores AI’s societal impacts through collaborative projects with academia and industry. Rohan is affiliated with the Data Sciences Institute and leads initiatives on reproducibility. His current supervision includes PhD student Ciara Zogheib. His institutional roles extend to strategic projects like the Climate Positive Energy initiative and School of Cities.

• Journalism
• Communication Technology
• Social Media
• +۳ مورد دیگر

Yee Man (Margaret) Ng is an Associate Professor in Journalism and the Institute of Communications Research at the University of Illinois. She combines data science methodologies with communication research to study social media dynamics, digital journalism, and technology adoption patterns. Her research interests include: Computational social science Social media analytics Data visualization techniques Communication technology impacts Journalism innovation Post-adoption technology behavior Ng's methodology integrates big data analysis, machine learning algorithms, and traditional survey/experimental approaches. Current work extends diffusion of innovations theory by examining social media users' discontinuance and readoption behaviors. Academic contributions span both empirical research and educational practice. She has taught courses like: JOUR 460 - Data Storytelling JOUR 410 - Data Storytelling for Journalism JOUR 425 - Multimedia Editing and Design JOUR 199 - Hands-on Media Technology Her publications analyze topics ranging from YouTube's recommendation algorithms to digital sustainability in news media, with particular focus on: Platform migration patterns Algorithmic content moderation Political communication dynamics Media technology adoption Regional web usage differences Incivility measurement techniques

• Global Sociology
• Family and Work Inequalities
• Digitalisation and AI
• +۳ مورد دیگر

Yang Hu is a Professor of Global Sociology at Lancaster University, UK, holding this position since 2022. He has previously served as Associate Professor (2019–2022) and Assistant Professor (2016–2019). His roles include co-director of the Early Career Fellowship Programme at the Work and Family Researchers Network (2024–) and editorial board member of Journal of Marriage and Family , Sociology Compass , and former member of Sociology (2020–2022). He is affiliated with the UNESCO Inclusive Policy Lab (2023–) and several research centers at Lancaster University. Lancaster University (2016–2025): Assistant, Associate, and Professor of Global Sociology Work and Family Researchers Network (2024–): Co-director, Early Career Fellowship Programme UNESCO Inclusive Policy Lab (2023–) Yang's research examines family and work changes and inequalities in global contexts, focusing on intersectional inequalities across gender, sexuality, ethnicity, age, and migrant status. He explores how digitalization and AI, as well as crises like the COVID-19 pandemic, reshape work-family dynamics. His methodological approach combines cross-national comparative studies and transnational mobility analysis. His recent publications in journals like Nature Human Behaviour , Gender & Society , and Demography reflect trends in digital sociology, work-family interface, and crisis-induced inequalities. His work has been recognized through scientific awards , including the Stanford-Elsevier World's Top 2% Scientists list (2022, 2023) and institutional honors for international impact. Yang supervises PhD students in sociology of families, transnationalism, and intersectional inequalities and leads funded projects exceeding £1.5 million from UKRI/ESRC, SSHRC (Canada), British Academy, and Nuffield Foundation. Media coverage of his research spans 100+ outlets, including BBC, Guardian, and CNN.

Ted Briscoeمشاهده پروفایل

استاد

• Computational Linguistics
• Speech and Language Processing
• Textual Information Management
• +۳ مورد دیگر

Professor Ted Briscoe is a renowned academic in Computational Linguistics, previously affiliated with the University of Cambridge's Department of Computer Science and Technology (Computer Laboratory). He moved to MBZUAI in Abu Dhabi as a Professor of Natural Language Processing. His research focuses on computational linguistics, speech/language processing, and evolutionary linguistics, with contributions to tools like the RASP parsing system. He is a Fellow of Girton College, Cambridge. His work spans grammatical error correction, automated essay scoring, and language acquisition models. For more details, see his MBZUAI profile .

Mariya Tonevaمشاهده پروفایل

پژوهشگر ارشد

• Computational Neuroscience
• Natural Language Processing
• Brain-Language Alignment
• +۱ مورد دیگر

Mariya Toneva is a C.V. Starr Postdoctoral Fellow at Princeton Neuroscience Institute researching computational models of language processing in the brain. Her work bridges machine learning, natural language processing, and neuroscience to understand how humans comprehend language. She develops methods to align artificial language models with brain activity, using fMRI and MEG to study neural representations. Honored with NSF and C.V. Starr fellowships, her research has been recognized by the Society for Neurobiology of Language. Starting 2022, she joins Max Planck Institute as tenure-track faculty.

Hans Uszkoreitمشاهده پروفایل

استاد

• Artificial Intelligence
• Natural Language Processing
• Information Extraction
• +۳ مورد دیگر

Hans Uszkoreit is a German AI researcher and Honorary Professor at Technische Universität Berlin, specializing in language and knowledge technologies. He serves as Scientific Director at the German Research Center for Artificial Intelligence (DFKI) Berlin and co-founder of the Artificial Intelligence Technology Center (AITC) in Beijing. He is also Chief AI Advisor at Lenovo Corporation. His roles include leading initiatives like the Berlin Big Data Center and the German Smart Data Forum, funded by German federal ministries. Uszkoreit’s research focuses on natural language processing, machine translation, and knowledge-based systems, with contributions to projects such as the Multilingual Europe Technology Alliance and spin-off companies like Sematell and Acrolinx. He has supervised over 40 PhD theses, emphasizing computational linguistics and computer science. His work bridges academic research and industry applications, fostering innovation in AI and language technologies.

Maryam Meghdadi Esfahaniمشاهده پروفایل

پژوهشگر

• Cognitive Science
• Natural Language Processing
• Discourse Processing
• +۱ مورد دیگر

Maryam Meghdadi Esfahani serves as a Researcher in the Department of Computer Science and Computational Linguistics at Saarland University. Since October 1, 2024, she has been working within Prof. Vera Demberg's research group as part of the prestigious ERC-funded project "Individualized Interaction in Discourse". Her research sits at the critical intersection of Cognitive Science and Natural Language Processing, with particular focus on how individual cognitive differences affect discourse comprehension and production. She investigates neural and computational mechanisms underlying human language processing to develop more adaptive communication systems. Meghdadi Esfahani contributes to cutting-edge research in computational linguistics and cognitive modeling through the ERC project, which aims to create discourse models capable of adapting to individual users' cognitive profiles. This work has significant implications for personalized educational technologies and conversational AI systems that require nuanced understanding of human language processing variations. She collaborates within Prof. Demberg's research ecosystem that bridges theoretical linguistics with practical applications in human-computer interaction, working from her office at Campus C7 2, Room 3.08 in Saarbrücken, Germany.

Cengiz Kahramanمشاهده پروفایل

استاد

• Multi-criteria Decision Making
• Fuzzy Logic
• Engineering Economics
• +۱ مورد دیگر

Prof. Cengiz Kahraman is a Professor in the Department of Industrial Engineering at Istanbul Technical University (ITU). He holds a PhD in Industrial Engineering from ITU and has held numerous academic and administrative roles, including Head of Department (2010–2013) and Vice Dean (2004–2008). His research focuses on fuzzy logic, multi-criteria decision making, engineering economics, and statistical analysis. He has supervised over 60 theses and led projects funded by TUBITAK and private institutions, including studies on fuzzy decision support systems, warranty cost analysis, and performance evaluation systems. Education: PhD in Industrial Engineering, Istanbul Technical University (1992–1996) MSc in Industrial Engineering, Istanbul Technical University (1988–1990) BSc in Industrial Engineering, Istanbul Technical University (1984–1988) Research Interests: Fuzzy logic extensions (e.g., spherical, Pythagorean, neutrosophic sets) Multi-criteria decision-making methodologies (AHP, TOPSIS, VIKOR) Applications in supply chain management, sustainability, and engineering economics Key Awards: Applied Soft Computing Journal Best Paper Award (2024) ITU Engineering Science Award (2023) TUBITAK Science Award (2018) Memorial Da Ruan Award (2014) Recent Projects: Intelligent multi-criteria legal tracking systems Fuzzy inference techniques for debt collection optimization Social innovation platforms for education volunteers Warranty cost modeling for Arçelik products Grants & Advising: Recipient of multiple TUBITAK Publication Incentives (2011–2015) Advisor to over 60 graduate students in fuzzy decision-making and engineering Directed projects totaling over ₺1.2 million in funding Labs/Teams: Leads research groups focusing on fuzzy decision systems and sustainable engineering solutions.

• Assistive Technology
• Computer Vision
• Human-Computer Interaction
• +۲ مورد دیگر

Maria Paola Forte is a Doctoral Researcher at the Max Planck Institute for Intelligent Systems, working across the Haptic Intelligence and Perceiving Systems departments. She holds a BSc in Biomedical Engineering from the University of Genova and an MSc in Bioengineering from Politecnico di Milano. Her PhD research focuses on developing interdisciplinary assistive technologies, particularly for sign language capture, combining computer vision with sensor-based approaches. Her research interests center on creating technology for people with sensory or motor deficits, with applications in robotic surgery and human-computer interaction. Key areas include assistive device development, motion capture systems, and haptic feedback interfaces. Her work leverages expertise in biomedical engineering, machine learning, and real-time systems. Publications consistently demonstrate interdisciplinary work in surgical robotics and accessibility technology. Recent articles show a progression toward human-centered applications of computer vision, with emerging focus on wearable bioimpedance sensing and avatar reconstruction for sign language.

Franziska Pannachمشاهده پروفایل

استادیار

• Computational Linguistics
• Digital Humanities
• Semantic Web Technology
• +۴ مورد دیگر

Dr. Franziska Pannach is an Assistant Professor at the Faculty of Arts of the Rijksuniversiteit Groningen (Netherlands), affiliated with the Centre for Language and Cognition (CLCG) . She specializes in Computational Linguistics , Digital Humanities , and Semantic Web Technology , focusing on modeling narratives and mythological texts using NLP and ontologies. Her work emphasizes Open Science and cross-cultural comparisons of folktales and myths. Education : Dr. rer. nat. (PhD) in Applied Computer Science (Digital Humanities/Computational Linguistics), University of Göttingen, Germany (2024) MSc in Applied Computer Science (Digital Humanities), University of Göttingen (2019) BSc in Applied Computer Science (Computational Neuroscience), University of Göttingen (2013) Research Interests include computational approaches to mythological and folkloristic analysis, shallow ontologies for narrative comparison, and semantic web applications in cross-cultural studies. She leads the GOLEM (Graph Ontologies for Literary Evolution Models) project and contributed to the STRATA (Stratification Analyses for Mythic Narrative Materials) project. Teaching : Semantic Web Technology (MSc), Database-driven Web Technology (BSc), Digital Humanities: Tools and Methods (MSc), Analysing Data (MSc) Supervision : PhD students Pritha Majumdar (RUG) and Kristina Schneider (RUG/University of Mainz) Publications focus on narrative ontologies, mythological event annotation, and NLP for under-resourced languages. Her recent work includes the GOLEM Triple Store and shallow ontologies for myth comparison. Networks & Memberships : Member, Digital Humanities Association of Southern Africa (DHASA) since 2019 Co-founder and editor of the Journal of Digital Humanities Association of Southern Africa (JDHASA) Collaborations with institutions in Germany, South Africa, and Denmark