جست‌وجوی استاد و پژوهشگر

Aaron Whiteمشاهده پروفایل

استاد

• Computational Linguistics
• Syntax
• Semantics
• +۳ مورد دیگر

Prof. Aaron White is a Professor of Linguistics at the University of Rochester since 2017. He holds a PhD in Linguistics from the University of Maryland, College Park (2015), advised by Valentine Hacquard and Jeffrey Lidz. Prior to Rochester, he was a postdoctoral fellow at Johns Hopkins University's Science of Learning Institute, affiliated with the Department of Cognitive Science and the Center for Language and Speech Processing. His research focuses on computational linguistics, syntax, semantics, and natural language processing, particularly in syntactic bootstrapping, propositional attitude verbs, and event structure decomposition. Key research projects include leadership of the MegaAttitude Project and contributions to the JHU Decompositional Semantics Initiative. He teaches courses on statistical methods in linguistics, computational linguistics, and deep learning applications. His work bridges formal semantics, syntax, and computational models, emphasizing cross-linguistic analysis and parser development. Publications span document-level information extraction, neg-raising inferences, and semantic typology. He has developed tools like the Decomp Toolkit for decompositional semantics. Current research explores lexicalization processes in parsers and temporal reasoning in NLI tasks. Labs/Teams: JHU Decompositional Semantics Initiative, MegaAttitude Project.

Lixia Yangمشاهده پروفایل

استاد

• Cognitive Aging
• Memory
• Executive Functions
• +۷ مورد دیگر

Dr. Lixia Yang is a Professor in the Department of Psychology at Toronto Metropolitan University, Faculty of Arts. She holds a PhD from the Institute of Psychology, Chinese Academy of Sciences, and completed postdoctoral training at the Max-Planck Institute for Human Development and the University of Toronto. Her research is centered on cognitive aging, memory, emotion-cognition interactions, and cultural influences on cognition. PhD, Institute of Psychology, Chinese Academy of Sciences Dr. Yang's research interests include cognitive plasticity of the aging brain, age differences in attention, memory, and executive functions, and cultural effects on social engagement and memory. She also investigates the psychosocial wellbeing of minoritized immigrant populations in Canada, particularly during the pandemic. Her work bridges cognitive neuroscience, developmental psychology, and public health. Her recent publications (2021–2022) reflect a strong interdisciplinary focus on aging, cognition, emotion, culture, and mental health. Key themes include cognitive control under mood and attentional load, long-term benefits of cognitive and physical training in older adults, and the psychological impact of anti-Chinese discrimination and pandemic stress on immigrant communities. Her research employs experimental, longitudinal, and survey methodologies across diverse populations. Dr. Yang has received notable recognition for her scholarly and community contributions: 2021 Dean’s Scholarly, Research and Creative Activity Award Ryerson 2015 YSGS Outstanding Contribution to Graduate Education Award 2022 Queen’s Platinum Jubilee Award for Outstanding Community Contribution She has been actively involved in mentoring and supervising undergraduate and graduate students, including honours theses, practicum students, and research assistants. Her research has been funded by NSERC and CIHR, supporting both cognitive aging studies and pandemic-related mental health projects. Dr. Yang also contributes to professional service as an associate editor for the Wiley Blackwell Encyclopedia of Adulthood and Aging and as a reviewer for numerous journals and grant agencies. Dr. Yang leads the Cognitive Aging Lab (CAL) at Toronto Metropolitan University, where her team investigates neurocognitive changes in aging, cognitive training outcomes, and socioemotional factors affecting memory and executive function.

• Developmental Psychology
• Music Therapy
• Cognitive Development
• +۷ مورد دیگر

Dr. Fabia Franco is an Associate Professor in Psychology at Middlesex University , specializing in developmental psychology, music therapy, and cross-modal communication. With over two decades of research, her work bridges music cognition, language acquisition, and social-emotional development across the lifespan. Key research themes include infant communication through pointing, musical predictors of language development, and therapeutic applications of music for cognitive disorders. Her interdisciplinary collaborations span neuroscience, music therapy, and autism studies. Recent publications (2021-2024) focus on neonatal intensive care soundscapes, music-based cognitive interventions for aging populations, and cross-cultural studies of infant-directed communication in hunter-gatherer societies. She also develops assessment tools like the Music@Home questionnaire to quantify early musical environments.

• Variational Linguistics
• Dialectology
• Political Communication
• +۳ مورد دیگر

Heiko Girnth is an Adjunct Professor at the Research Center Deutscher Sprachatlas (DSA) under the Department of German Studies and Arts at Philipps-University Marburg. His research spans multiple domains including Variational Linguistics , Dialectology , Political Communication , Grammaticalization , and Text Linguistics . Research Focus: Political discourse analysis, grammaticalization processes in German dialects, multimodal communication in political talk shows, and geolinguistic mapping of language variation. Key Publications: Authored and co-authored works on political rhetoric, dialectological studies, and text typology, including books on language in politics and edited volumes on political talk shows. Teaching: Offers courses like 'Sagen und Meinen' (Seminar) and 'Textlinguistik' (Lecture) at Philipps-University Marburg. Collaboration: Active in interdisciplinary projects, notably the Mittelrheinischer Sprachatlas (MRhSA), focusing on morphological and phonological dialect variation. Labs/Teams: Affiliated with the Research Center Deutscher Sprachatlas , contributing to linguistic mapping and dialectological research.

Anna Morbiatoمشاهده پروفایل

دانشیار

• Chinese Linguistics
• Syntax
• Information Structure
• +۹ مورد دیگر

Anna Morbiato is an Associate Professor in the Department of Asian and North African Studies at Ca' Foscari University of Venice, where she teaches Chinese language and linguistics. She is a member of the Board of Directors of the Ca' Foscari School for International Education (CFSIE) and serves as Editor-in-Chief of the journal Annali di Ca’ Foscari Serie orientale . Her academic work bridges linguistics, cognitive science, and artificial intelligence. Education: PhD in Linguistics, University of Sydney (Cotutelle) PhD in Asian and African Studies, Ca' Foscari University of Venice MA in Technical and Scientific Translation, Ca' Foscari University of Venice (First Class Honours) BA in Translation and Interpretation, Ca' Foscari University of Venice (First Class Honours) Her research focuses on Chinese syntax, information structure, pragmatics, and second language acquisition, employing cognitive-functional and corpus-based methodologies. She has contributed extensively to the understanding of word order, topic structure, and anaphora in Mandarin, with applications in language teaching and AI. The recent publications of Anna Morbiato reveal a strong trend toward interdisciplinary research, particularly in human-centric AI and natural language understanding. Her work connects linguistic theory with practical applications in technology, focusing on how language encodes meaning in procedural and culinary texts. She integrates cognitive linguistics with corpus analysis and experimental data, especially in studying Italian learners of Chinese. Scientific Awards: Marie Skłodowska-Curie Actions Seal of Excellence (2018) Valedictorian, Ca’Foscari University (2018) Campus Mentis Award (2010) Chinese Bridge Competition 3rd Prize (2007) Multiple First Class Honours distinctions Anna Morbiato has supervised numerous BA and MA theses and is responsible for Chinese language instruction at her department. She has received competitive research grants from the European Union (Horizon 2020, PRIN), Australian Government (Endeavour), and the University of Sydney. Her leadership extends to organizing international conferences and serving on PhD committees and editorial boards. She is actively involved in the MUHAI (Meaning and Understanding in Human-centric AI) project, where she contributes case studies in cognitive semantics and pragmatics, and in the PRIN ACHIEVE project on Chinese verb complex acquisition. Her institutional roles include curriculum development, editorial leadership, and academic governance.

Frank Piessensمشاهده پروفایل

استاد

• software security
• system security
• formal methods
• +۲ مورد دیگر

Frank Piessens is a full professor in the Department of Computer Science at KU Leuven, Belgium, with research spanning both offensive and defensive aspects of software and systems security. His defensive work includes formal verification for C-like languages, information flow security enforcement, memory safety hardening, micro-architectural side-channel mitigation, and embedded security architectures. On the attack front, he has pioneered techniques for transient execution vulnerabilities, memory corruption exploits, and controlled channel attacks. His research interests focus on software security , system security , formal methods , programming languages , and information flow security . Recent publications demonstrate expertise in secure compilation (linear capabilities, control-flow linearization), functional reactive programming for web/IoT systems, and type-theoretic approaches to program equivalence. His work bridges theoretical foundations with practical security implementations across hardware-software boundaries. Professor Piessens maintains active leadership in the academic community through program committee service for top-tier conferences including ACM CCS, Usenix Security, IEEE Security & Privacy, and ACM POPL. He has chaired major events such as POST 2016, IEEE Euro S&P 2018-2019, and IEEE SecDev 2021-2022, while delivering keynotes at SPLASH 2025 and PriSC 2022 on confidential computing and hardware security evidence.

Matthias Springsteinمشاهده پروفایل

پژوهشگر

• Computer Vision
• Deep Learning
• Multimedia Information Retrieval
• +۵ مورد دیگر

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.

• Explainable AI
• Machine Learning
• Social Media Analysis
• +۶ مورد دیگر

Professor Alun D. Preece is a distinguished academic at Cardiff University's Crime and Security Research Institute, UK, with significant contributions to artificial intelligence, particularly in explainable AI (XAI), social media analysis, and neuro-symbolic approaches. His research spans over three decades with continuous publication output through 2024, demonstrating sustained scholarly impact in the AI community. His research interests focus on creating transparent and interpretable AI systems that can effectively collaborate with humans in complex environments. Key areas include explainable AI methodologies, social media analysis for misinformation detection, neuro-symbolic integration for robust reasoning, and collaborative perception-cognition-communication-action frameworks. His work bridges theoretical AI foundations with practical applications in security, public safety, and coalition operations. Recent publications (2022-2024) reveal a strong focus on cutting-edge AI challenges, with particular emphasis on neuro-symbolic approaches, vector symbolic architectures, and human-AI teaming. His work consistently addresses the critical challenge of creating AI systems that are not only effective but also transparent, trustworthy, and capable of meaningful collaboration with human users. Professor Preece has established extensive collaborations across the AI research community, with notable co-authors including Dave Braines, Federico Cerutti, Ian J. Taylor, and Mani Srivastava. His research has been published in top venues including FUSION, IEEE Transactions, and AAAI workshops. His work on verifiable credentials for AI model transparency, collaborative perception frameworks, and misinformation analysis demonstrates practical applications of his theoretical contributions to real-world security and information challenges. The trajectory of his recent publications indicates continued leadership in addressing the critical challenges of trustworthy and explainable AI systems.

• Linguistics
• Linguistic Typology
• Motion Events Encoding
• +۳ مورد دیگر

Alfonsina Buoniconto is a Researcher in the Department of Humanities at the University of Salerno, Italy. Her academic work primarily focuses on linguistic typology, motion events encoding, and educational linguistics. She maintains regular reception hours on Wednesdays from 12:00-14:00 at the Fisciano Campus, Building D3, Third Floor, Room 015. Dr. Buoniconto's research interests center around linguistic typology, particularly the encoding of motion events in Romance languages. Her work investigates the continuum between verb-framed and satellite-framed languages, with special attention to boundary-crossing events and covert encoding strategies. Her research employs corpus-based methods, diachronic analysis, and cognitive linguistics frameworks to examine how languages express motion phenomena. She has developed the Modeg (Motion Decoding Grid) annotation tool for motion event analysis and has conducted comparative studies between English and Italian, as well as Ancient Greek and Latin. Her recent publications reveal a strong focus on motion events encoding across Romance languages, with particular attention to Italian. The research shows consistent patterns in how Romance languages handle boundary-crossing events, often displaying hybrid characteristics between verb-framed and satellite-framed typologies. Her work also extends to educational applications, particularly in teaching linguistic cohesion to improve reading comprehension among secondary school students. Dr. Buoniconto has collaborated with researchers across Italy on educational projects like LeCo (Leggere e Comprendere), which focuses on enhancing reading and text comprehension skills for high school students in Salerno and Avellino provinces. Her research bridges theoretical linguistics with practical educational applications.

• Linguistics
• Semantics
• Pragmatics
• +۶ مورد دیگر

E. Cameron Wilson is a researcher affiliated with Queen Mary University of London, focusing on Semantics & Pragmatics . They have collaborated extensively with Stephanie Solt on topics like degree modification , attenuation , and polarity sensitivity , presenting at institutions such as ZAS Berlin , University College London , and Eberhard Karls Universität Tübingen . ORCID Research Interests include the analysis of gradable adjectives, non-conservative measure phrases, and the syntactic and semantic properties of superlatives in English and Dutch. Their work bridges theoretical linguistics with experimental approaches. Recent Trends in their publications (2019–2021) emphasize cross-linguistic comparisons, formal semantics of quantifiers, and interactions between degree modifiers and polarity sensitivity. Collaborative work with Stephanie Solt dominates their output. Conference Participation spans major events like Generative Grammatik des Südens , Sinn und Bedeutung , and The Linguist's Workshop , covering topics from Slovenian dialects to Dutch-English measure expressions.

Christina Karnsمشاهده پروفایل

عضو هیئت علمی

• Neuroscience
• Neuroplasticity
• Brain Injury Research
• +۶ مورد دیگر

Christina Karns serves as an Assistant Research Professor at the Center on Brain Injury Research and Training (CBIRT) and Senior Instructor in the Psychology Department at the University of Oregon's College of Arts and Sciences. She is also affiliated faculty with the Clark Honors College. Her research program integrates neuroimaging with behavioral interventions to investigate fundamental questions about neural development and plasticity across the lifespan. Dr. Karns' research focuses on how attention and self-regulation support healthy neural development in children, teens, and adults with and without disabilities. She employs multiple methodologies including human neuroimaging (fMRI and EEG), behavioral assessments, and qualitative data to address critical questions about positive emotions like gratitude, brain injury effects, and fundamental neuroplasticity mechanisms. Her work bridges basic neuroscience with practical applications for improving social interactions and emotional well-being. Analysis of her recent publications reveals a strong emphasis on gratitude neuroscience, cross-modal plasticity in sensory deprivation, attention development across the lifespan, and the neural mechanisms underlying prosocial behavior. Her work consistently demonstrates how experience shapes brain organization and function, with particular attention to how positive interventions can harness neuroplasticity for therapeutic benefit. Dr. Karns is an active educator who teaches diverse courses including Biosensing Emotion and Cognition, Psychoactive Drugs, Neuroscience Perspectives on Drug Policy, Music and the Brain, and Developmental Psychology. Her teaching philosophy emphasizes connecting neuroscience to real-world applications and fostering critical thinking skills that extend beyond the classroom. She actively mentors undergraduate researchers in her laboratory and participates in graduate student mentorship teams. Her outreach extends to community education through public lectures and media appearances where she makes complex neuroscience concepts accessible to broader audiences.

Zhimei Renمشاهده پروفایل

استادیار

• Distribution-free inference
• Multiple hypothesis testing
• Data-driven decision making
• +۵ مورد دیگر

Zhimei Ren is an Assistant Professor in the Department of Statistics and Data Science at the Wharton School, University of Pennsylvania. She received her Ph.D. in Statistics from Stanford University in 2021 under the supervision of Professor Emmanuel Candès and completed a postdoctoral fellowship at the University of Chicago from 2021-2023, advised by Professor Rina Foygel Barber. Prior to her doctoral studies, she earned a B.S. in Statistics from Peking University in 2016. Her educational background includes: Ph.D. in Statistics, Stanford University, 2021 (Advisor: Emmanuel Candès) B.S. in Statistics, Peking University, 2016 Dr. Ren's research focuses on developing distribution-free statistical methods with applications across various domains. Her work centers on distribution-free inference, multiple hypothesis testing, data-driven decision making, causal inference, and survival analysis. She has made significant contributions to conformal prediction frameworks, developing novel approaches for selection-conditional coverage, interactive framework for conformal selection, and applications in survival analysis. Her research bridges theoretical statistics with practical applications in healthcare, education technology, and machine learning model validation. Analysis of her publication record reveals a strong focus on conformal prediction methods and their extensions. Over the past two years, she has published extensively on topics including conformal selection frameworks, distribution-free inference for survival analysis, and applications of conformal methods to foundation models and time series data. Her work demonstrates a consistent theme of developing theoretically sound statistical methods that provide rigorous guarantees without distributional assumptions, making them broadly applicable across scientific domains. Her notable scientific achievements include: Rising Star in Data Science, University of Chicago, 2022 Waterloo Student Conference Presentation Award, University of Waterloo, 2021 First Prize of the 2018 Citadel Datathon, Stanford University, 2018 Dr. Ren is actively engaged in academic service, currently co-organizing the International Seminar on Selective Inference with prominent researchers in the field. She teaches advanced statistical courses including Statistical Inference (STAT4310) and Seminar in Advanced Applications of Statistics (STAT9910) at the University of Pennsylvania. Her teaching focuses on statistical methodology and inference, preparing students for both theoretical and applied work in statistics and data science. Dr. Ren has also developed several R packages including cfsurvival for conformalized survival analysis and derandomKnock for implementing derandomized knockoffs procedures, demonstrating her commitment to making her research accessible and usable by the broader scientific community.

Abisoye Eleshinمشاهده پروفایل

پژوهشگر ارشد

• African Linguistics
• Sociolinguistics
• Yoruba Language Studies
• +۴ مورد دیگر

Dr. Abisoye Eleshin is a Research Fellow at the Institute of African and Diaspora Studies, University of Lagos, and serves as a Principal Investigator in the Africa Multiple Cluster of Excellence in African Studies (Knowledges Research Stream). She holds a Ph.D. in Yorùbá Linguistics with specialization in morphology and nominalisation. Her research spans multiple domains of African linguistics: Core focus on Yoruba language structure, dialectology, and sociolinguistic applications Specialization in morphological processes including prefixation, nominalisation, and negation Documentation of African languages with emphasis on Yoruba indigenous advertising and folktales Investigation of bi-dialectal communities as evidenced by her Epe, Lagos research project Her recent publications demonstrate consistent contributions to Yoruba linguistic theory, particularly in phonological-morphological interfaces and sociolinguistic applications. Current research includes a University of Lagos-funded project on Yoruba Indigenous Advertisement and collaboration on Yoruba folktale documentation funded by the University of Bayreuth. As an educator, she teaches courses on African language families, structural features of African languages, and sociolinguistic applications. Her work bridges theoretical linguistics with practical cultural documentation, including playwrighting focused on African sociocultural history.

Francesco Zanichelliمشاهده پروفایل

دانشیار

• Distributed Systems
• Service-Oriented Peer-to-Peer Middleware
• Cloud Systems for IoT
• +۱۰ مورد دیگر

Francesco Zanichelli is an Associate Professor at the Department of Engineering and Architecture, University of Parma, where he teaches Information Systems for Master's in Computer Engineering and Operating Systems for Bachelor's in Computer, Electronics, and Telecommunications Engineering. He also teaches Industrial Software Development Technologies in Information Systems Engineering. PhD in Information Technology (University of Parma, thesis: Programming Autonomous Robots) Industrial Robotics experience (IBM Fellow) Mobile Robotics research (University of Florida) His research spans: Intelligent robotic systems: software architectures, sensor-based interaction, real-time scheduling algorithms Distributed systems: peer-to-peer middleware, cloud-IoT integration, predictive maintenance Location-based services: blockchain-secured privacy, network-aware distribution Performance evaluation via simulation, PlanetLab testbed, and prototyping He leads the DSG distributed systems research group and participates in national/international projects (FP7, NATO, CNIT). He co-founded spin-offs for vehicle multimedia systems (Etheria Srl) and digital payment solutions (Simplycity Srl).

• Media Studies
• Journalism
• Sports Communication
• +۳ مورد دیگر

Jozef Mergeš is a Professor at the Institute of Philosophy and Ethics within the Faculty of Arts at the University of Prešov. His work bridges media analysis, linguistics, and sports communication, focusing on the stylistic and structural dynamics of media language. Research Interests: Media Studies Sports Communication Journalism Aesthetic Analysis Linguistic Discourse Visual Communication Recent Publications explore trends in football commentary, media aesthetics, and narrative structures in sports journalism. His work spans both theoretical frameworks and applied analysis of linguistic and visual elements in media.