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Ibarretxe-Antuñano IraideView profile

Professor

• Typology
• Contrastive Linguistics
• Germanic Languages
• +6 more

Iraide Ibarretxe-Antuñano is a Full Professor of General Linguistics at the University of Zaragoza's Department of Linguistics and Hispanic Literatures, and a researcher at the Institute of Heritage and Humanities (PSYLEX). She holds a Ph.D. in Linguistics from the University of Edinburgh (2000) and a degree in English Philology from Deusto University (1995). Her career includes post-doctoral research at UC Berkeley (1999–2001) and visiting professorships at institutions worldwide. Her research focuses on cognitive linguistics, semantic typology, and the interplay between language, culture, and cognition. Key areas include sound symbolism, metaphor embodiment, and the cognitive foundations of language structure. Current leadership roles include PI of the MultiMetAR and MOTIV research projects, exploring multimodal metaphor and language processing. Awarded the 2020 Rafael Monroy Research Award, she serves on editorial boards of journals like Cognitive Linguistics and holds advisory roles in Spain’s AEI and international agencies (e.g., FONDECYT, FWO). Her work has produced over 230 publications, with an h-index of 33. Notable works include Sound Symbolism and Motion in Basque (2006) and Lenguaje y Cognición (2021).

Monica L. DoView profile

Assistant Professor

• Psycholinguistics
• Experimental Syntax
• Event Cognition
• +3 more

Monica L. Do is an Assistant Professor in the Department of Linguistics at the University of Chicago. She directs the Language, Events, and Mind (LEM) Lab and specializes in psycholinguistics and experimental syntax. Her research explores how people translate conceptual representations of the world into linguistic forms, focusing on decision-making in language production and cross-linguistic variation. Dr. Do holds a PhD in Linguistics from the University of Southern California (2018) and completed a postdoctoral fellowship in Psychology at the University of Pennsylvania (2018–2019). Her work employs eye-tracking and behavioral methods to study topics like sentence formulation, word order regularization, and motion event encoding. Key themes include the interplay between syntax and semantics, cognitive factors influencing language production, and the role of pragmatics in shaping linguistic output. She investigates these processes across diverse languages, emphasizing the relationship between thought and expression. Dr. Do’s research has been published in journals like Cognition and Language, Cognition, & Neuroscience , and she regularly contributes to conferences such as the Cognitive Science Society. Her lab focuses on experimental approaches to understanding how language reflects and interacts with human cognition.

• Psychology of Language
• Bilingualism
• Cognitive Neuroscience
• +5 more

Dr Jan Rouke Kuipers is a Lecturer in Psychology at the University of Stirling. He holds an MSc in Cognitive Psychology and a PhD from Leiden University (2008), followed by postdoctoral research at Bangor University before joining Stirling in 2013. His research focuses on bilingualism, embodied semantics, dyslexia, and language production mechanisms. Key methods include ERP, eye-tracking, pupillometry, and TMS. He investigates how bilingual upbringing influences language learning, neural representation of meaning, visual-phonological deficits in dyslexia, and the neural correlates of attention through pupillometry. His recent work explores mobile cognition and cross-modal semantics. He is affiliated with the Cognition in Complex Environments research group and contributes to interdisciplinary projects on embodied cognition. Research interests span: (1) Bilingualism's cognitive effects, (2) Embodied semantics in visual/motor cortices, (3) Dyslexia's visual-phonological processing deficits, (4) Word selection processes in speech production, and (5) Pupillometry-ERP correlations in attention studies. His 28+ publications include studies on ERP markers of language change in bilingual toddlers, cross-cultural semantic processing, and neural plasticity in bilingual color perception. Methodologically, he combines ERP with eye-tracking to study visual attention and arousal relationships. Advising and grants: While specific student names aren't listed, his research involves collaborative teams at Stirling and international institutions. Grants likely support his work on embodied cognition and dyslexia interventions. He participates in the Mobile Cognition research program and leads projects at the Cognition in Complex Environments group.

• Computer Vision
• Digital Forensics
• Signal Processing
• +5 more

Francesco De Natale is a Full Professor at the Department of Information Engineering and Computer Science, University of Trento. His expertise spans Computer Vision, Digital Forensics, Signal Processing, and Multimedia Systems. He teaches courses including 'Fondamenti di Comunicazioni', 'Fondamenti di Elaborazione dei Segnali', and 'Tecnologie Multimediali', focusing on signal analysis, communication systems, and multimedia processing. Research Interests: Digital forensics (e.g., deepfake detection, image provenance), computer vision applications (3D haptic modeling, crowd behavior analysis), and embedded systems for IoT/AAL solutions. Key Projects: Developed the AUSILIA platform for assisted living and Neuroberry for pervasive EEG signaling. Contributed to datasets like WILD for synthetic image analysis. Recent Focus: Combining machine learning with forensic techniques for detecting media manipulation, and energy-efficient edge computing for drones/UAVs. His work bridges theoretical research with practical applications in healthcare, cybersecurity, and robotics. Over 50+ publications since 2012 highlight contributions to signal processing, multimedia forensics, and human behavior analysis.

Shu-Ling WuView profile

Associate Professor

• Second Language Acquisition
• Language Testing and Assessment
• Chinese Linguistics
• +4 more

Shu-Ling Wu is an Associate Professor in the School of Languages and Linguistics at Southern Illinois University at Carbondale, specializing in Chinese language and cognitive linguistics research. She serves as Chinese Advisor and East Asian Section Head while directing the Foreign Language in the Professions (FLIT) program. Ph.D. in East Asian Languages and Literatures from University of Hawaii Previous teaching experience at University of Hawaii, Kapiolani Community College, Defense Language Institute, and West Point Her research focuses on Second language acquisition patterns Language testing and assessment methodologies Chinese linguistic structures and conceptualization Cognitive linguistics applications in language teaching Motion event expression development Pedagogical grammar innovations Recent publications examine Elicited imitation as proficiency measure Comparative analysis of English-Chinese parallel tasks Directional complement acquisition challenges Motion conceptualization across language groups Classical Chinese integration in modern instruction Bilingual aviation language training She has received ACTFL Research Priorities Initiative Grant CLTA Jiede Empirical Research Grant Language Learning journal funding Her teaching philosophy emphasizes cultural competence development and cross-linguistic dialogue, with notable textbook contributions including Mastering Advanced Modern Chinese through the Classics (2018) and Aviation Language in English and Chinese (2025).

• Linguistic Typology
• Motion Events Encoding
• Romance Languages
• +10 more

Alfonsina Buonicontro is a Researcher in the Department of Humanities (DIPSUM) at the University of Salerno, Italy, where she conducts interdisciplinary research at the intersection of linguistic typology, cognitive linguistics, and language education. Her work focuses on motion event encoding, covert linguistic strategies, and pedagogical models for teaching general linguistics and text comprehension. Her research interests include: Linguistic and lexical typology, especially in Romance languages Motion event semantics and syntax (verb-framed vs. satellite-framed languages) Covert encoding and inferential meaning in motion expressions Constructional semantics and Gestalt theory in language interpretation Development of annotation tools like Modeg for motion event analysis Pedagogical innovation in linguistics education and reading comprehension Her recent publications reveal a strong focus on diachronic and cross-linguistic analysis of Italian, French, Spanish, Latin, and Ancient Greek, with an emphasis on how meaning is constructed beyond explicit lexical items. She explores how learners interpret motion and cohesion in texts, contributing to both theoretical linguistics and applied educational practices. Scientific contributions include: Development of the Modeg (MOtion DEcoding Grid) annotation tool for systematic motion event analysis Experimental educational project LeCo for enhancing reading comprehension in secondary schools Pioneering studies on boundary-crossing events in Romance languages Analysis of Source/Goal asymmetry in classical languages Proposals for top-down, semantics-first models in teaching linguistics Buonicontro actively publishes in peer-reviewed journals and conference proceedings, often in collaboration with scholars such as Claudio Iacobini and Debora Vena. While no formal list of advisees is provided, her involvement in educational projects suggests mentorship and curriculum leadership roles. She maintains a presence on academic platforms including ORCID, ResearchGate, and Academia.edu, indicating ongoing scholarly engagement.

• Artificial Intelligence
• Robotics
• Internet of Things
• +3 more

Professor Hongnian Yu is affiliated with the School of Computing Engineering and the Built Environment at Edinburgh Napier University. His research focuses on Artificial Intelligence , Robotics , Internet of Things , and Smart Cities , often intersecting with Automation and Cyber-Physical Systems . His work includes the NeFT-Net project for motion prediction and the XAI for Algorithm Configuration initiative. Email: H.Yu@napier.ac.uk In recent publications, Yu has explored human activity recognition , multi-agent control systems , and IoT-enabled medical data security . His projects are funded by the European Commission (iMARS), Bawazeer Group , and Royal Society , emphasizing AI-driven robotics , secure communications , and energy-efficient autonomous vehicles .

Stefanie GoldschmittView profile

Senior Lecturer

• Meaning Change
• Grammaticalization
• Mood and Modality
• +3 more

Dr. Stefanie Goldschmitt is a Senior Academic Councillor at the Chair of Romance Linguistics within the Faculty of Philosophy at the University of Würzburg. Her office is located in Room 5.O.18 of the Philosophy Building. She holds a Magister Artium in Romance Studies (French, Spanish) and Germanistics from the Universities of Würzburg and Erlangen, completed her PhD in French Linguistics in 2007, and obtained the Bavarian University Teaching Certificate in 2019. Her research focuses on: Meaning change and grammaticalization processes Mood, modality, and verb semantics Contrasts between orality and literacy Latin American Spanish variations Motion event encoding across languages Her publications consistently explore linguistic dynamics, cross-linguistic influence, and sociolinguistic variation, with recent work examining language contact phenomena and empirical approaches to morphology. She received the Hochschul-Wissenschafts-Programm (HWP) scholarship during her doctoral studies. Goldschmitt maintains active international collaborations, including research stays in Bolivia (2010) and a teaching mobility at the University of Salamanca (2018).

• Variation and Language Change
• Multilingualism and Language Contact
• Creole Studies
• +4 more

Evelyn Wiesinger is a Junior Professor for Romance Philology (Linguistics) at the University of Tübingen , focusing on variation, language change, multilingualism, creole studies, and construction grammar. She leads the DFG-funded international network CoPrEspa (2023–2025) and collaborates on German-Spanish projects like Gramática de Construcciones (2020–2023). Her habilitation (2021) explores Spanish verb-particle constructions through a usage-based lens. Research Highlights : Specializes in verb-particle constructions in Spanish and French creoles. Analyzes language contact in Caribbean and Guianese creoles. Uses corpus linguistics and cognitive frameworks for diachronic studies. Recent Publications examine motion events in creoles, constructional approaches to Spanish, and multilingual strategies in heritage speakers. She has presented at conferences across Europe and online, including the International Conference on Construction Grammar (2021) and Deutscher Romanistentag (2023).

• Italian Linguistics
• Second Language Acquisition
• Romance Literatures
• +3 more

Magdaléna Nahálková is an Assistant Professor at the Department of Romance Languages and Literatures within the Faculty of Arts at Masaryk University in Brno, Czech Republic. She teaches Italian language and literature courses and conducts research in Italian linguistics and second language acquisition. Her research interests include Italian linguistics, second language acquisition (particularly Italian L2), Romance literatures, applied linguistics, corpus linguistics, and motion event encoding. She investigates how Czech, Slovak, and English speakers acquire Italian, focusing on grammatical structures like auxiliaries and gerunds. Recent publications reveal a trend toward experimental and corpus-based studies of Italian L2 acquisition, emphasizing cross-linguistic influences and pedagogical applications in Central European contexts. Scientific Awards: No scientific awards, prizes, or fellowships are mentioned in the available information. Nahálková supervises student theses and participates in research projects funded by Masaryk University, including "Romance Languages and Romance Literatures in Motion" and curriculum development projects for Italian studies. These projects support student research and enhance teaching resources.

John StaskoView profile

Professor

• Data Visualization
• Information Visualization
• Human-Computer Interaction (HCI)
• +3 more

John Stasko is a Regents Professor in the School of Interactive Computing at the Georgia Institute of Technology, where he has been on the faculty since 1989. He also serves as an Adjunct Professor in the School of Computing Instruction. His primary research focuses on data visualization , information visualization , and visual analytics from a human-computer interaction (HCI) perspective. He has held leadership roles such as Interim School Chair of Interactive Computing (2021–2022) and General Chair of IEEE VIS 2013. Education: B.S. in Mathematics, Bucknell University (1983) M.Sc. and Ph.D. in Computer Science, Brown University (1985, 1989) Research Interests: John leads the Information Interfaces Research Group , emphasizing tools for data exploration and sense-making. His work includes visual analytics systems, peripheral awareness interfaces, and flexible interaction paradigms. Notable contributions include the Jigsaw system for document analysis and ROBIN for migration data visualization. Awards & Recognition: 2023: IEEE VGTC Visualization Lifetime Achievement Award 2014: IEEE Fellow 2012: IEEE VGTC Visualization Technical Achievement Award ACM Distinguished Scientist (2011) ACM CHI Academy & IEEE Visualization Academy memberships Advising & Teaching: John has advised over 20 PhD students and teaches courses like CS 6730: Data Visualization and CS 1331: Intro to Object-Oriented Programming . He emphasizes accessible, user-centered design in both research and education. Affiliations: GVU Center Institute for People and Technology (IPaT) Adjunct Faculty at School of Computing Instruction Member, University of St. Andrews Honorary Faculty (2013)

Jonathan LeachView profile

Professor

• Quantum Optics
• Quantum Information
• Quantum Imaging
• +2 more

Professor Jonathan Leach leads the Quantum Optics and Computational Imaging group at Heriot-Watt University's School of Engineering & Physical Sciences. His experimental quantum optics research develops novel methods for generating, manipulating, and detecting quantum states of light for secure communication and ultra-sensitive sensing. Work bridges quantum information science and computational imaging, with applications including high-dimensional entanglement systems, quantum state measurement techniques, and fundamental limits of super-resolution imaging. Publications demonstrate advanced quantum imaging techniques, with recent focus on single-photon lidar enhancement, quantum ghost imaging, and structured light manipulation. Research consistently integrates quantum phenomena with computational methods. Switched On Award for Most Engaging Lecturer (2015) Group investigates quantum technologies for achieving performance advantages in computation, communication, and imaging beyond classical limits.

• Computer Vision
• Machine Learning
• Action Recognition
• +6 more

Prof. Juergen Gall is a Professor at the University of Bonn, affiliated with the TRA Mathematics, Modelling and Simulation of Complex Systems and the Department of Information Systems and Artificial Intelligence. He leads the Computer Vision Group at the Lamarr Institute for Machine Learning and Artificial Intelligence. His research focuses on action recognition, video understanding, anticipation, human pose estimation, and applications in plant science, earth science, and neuroscience. He has contributed to numerous projects and conferences, including organizing workshops on machine learning for Earth systems and holistic video understanding. His work spans over 200 publications in top venues like CVPR, ICCV, and NeurIPS. He oversees software tools like MANTA and STING-BEE, and has developed datasets such as Humans in Kitchens and PoseTrack21. Research interests emphasize advancing computer vision for real-world challenges, with a focus on multi-modal learning and deep learning applications. Recent articles explore parameter-efficient models, diffusion-based anticipation, and multi-view matching for plant analysis. His contributions bridge academia and industry, addressing agricultural and environmental monitoring needs.

Qing-Long HanView profile

Professor

• Control Theory
• Control Engineering
• Networked Control Systems
• +12 more

Professor Qing-Long Han is Pro Vice-Chancellor (Research Quality) and Distinguished Professor at Swinburne University of Technology, Australia. He has previously held academic and leadership roles at Griffith University and Central Queensland University. He is a globally recognized expert in control theory and engineering, particularly in networked and time-delay systems. Pro Vice-Chancellor (Research Quality), Swinburne University of Technology Distinguished Professor, Swinburne University of Technology Editor-in-Chief, IEEE/CAA Journal of Automatica Sinica President-Elect, Asian Control Association His research interests span Control Engineering, Networked Control Systems, Multi-Agent Systems, Smart Grids, Unmanned Surface Vehicles, Neural Networks, and Secure Control . He is deeply involved in resilient and secure control under cyber threats, optimization, and industrial metaverse applications. His work integrates control theory with AI, IoT, and industrial automation. The recent publications highlight a strong trend toward secure, resilient, and distributed control in cyber-physical systems, particularly under attacks (replay, falsification), communication constraints, and delays. There is a clear focus on real-world applications in autonomous vehicles, trains, drilling systems, and chiller networks, using advanced methods such as reinforcement learning, event-triggering, and neurodynamic optimization. Award highlights include: IEEE Dr.-Ing. Eugene Mittelmann Achievement Award (2024) Norbert Wiener Award (2021) M. A. Sargent Medal (2021) IEEE Andrew P. Sage Best Paper Award (2019, 2020, 2022) Highly Cited Researcher (Clarivate, multiple years) Professor Han actively supervises PhD students in cutting-edge control topics and leads major research grants from the Australian Research Council and National Natural Science Foundation of China. He is a Fellow of IEEE, IFAC, Engineers Australia (Honorary), and the Chinese Association of Automation. He also contributes to editorial leadership in top journals and professional societies. He is associated with research teams and editorial boards in control systems, automation, and intelligent systems, fostering international collaboration and innovation in engineering.

David SinclairView profile

Associate Professor

• Formal Methods
• Distributed Systems
• Real-time Systems
• +2 more

Dr. David Sinclair is an Associate Professor and Year Head in the School of Computing at Dublin City University, affiliated with the Dependable Systems, Software Engineering, and Security research groups. His research spans formal methods, distributed systems, real-time systems, and AI applications in strategic games. Teaching responsibilities include foundational and advanced courses: CSC1018 Logic CSC1048 Computability & Complexity CSC1098 Compiler Construction CSC1141 Concurrent Programming CSC1049 Third Year Project supervision His publications demonstrate strong focus on real-time systems, motion prediction, and immersive technologies, with recent work exploring AI-driven virtual environments and light field processing. Research consistently addresses computational efficiency and formal verification challenges.