جست‌وجوی استاد و پژوهشگر

Monika Zaśko-Zielińskaمشاهده پروفایل

استاد

• Polish Language Stylistics
• Discourse Analysis
• Forensic Linguistics
• +۷ مورد دیگر

Dr. hab. Monika Zaśko-Zielińska, prof. UWr, is a Professor at the University of Wrocław's Department of Contemporary Polish Language within the Institute of Polish Philology. She co-founded the Spoken Polish Workshop and specializes in forensic linguistics, corpus linguistics, stylistics, and discourse analysis. Her research focuses on linguistic traces in forensic document analysis, electronic writing, and orality in written texts. She has authored works on language awareness, expressive marking, and biolect identification. Her interdisciplinary work bridges linguistics with legal studies, particularly in document expertise and text authenticity analysis. Education and Academic Background: While specific educational details are not explicitly listed, her academic titles (dr hab., professor) indicate advanced scholarly qualifications in Polish philology. Research Interests Forensic linguistics applications in document analysis Corpus-based studies of epistolary and conversational discourse Emotive annotation and sentiment analysis in Polish Electronic writing norms and textual authenticity Publications Zaśko-Zielińska has authored and edited over 60 works, including monographs like Listy pożegnalne: W poszukiwaniu lingwistycznych wyznaczników autentyczności tekstu (2013) and edited volumes such as Forensic Linguistics: Theory and Practice (2019). Her research appears in journals like Cognitive Studies and International Journal of Language & Literature . Grants and Awards No specific grants or awards are explicitly listed, but her extensive publications and academic role indicate sustained scholarly recognition. Advising and Labs She co-founded the Spoken Polish Workshop and collaborates on projects like the Wrocław Corpus of Consumer Reviews Sentiment (WCCRS). Her work often involves interdisciplinary teams in forensic linguistics and computational linguistics.

Genoveffa TORTORAمشاهده پروفایل

استاد

• Artificial Intelligence
• Machine Learning
• Health Informatics
• +۶ مورد دیگر

Genoveffa Tortora is a Full Professor at the Department of Computer Science (DI) of the University of Salerno. Her research focuses on interdisciplinary applications of artificial intelligence, including healthcare informatics, biomedical signal analysis, virtual reality, and IoT technologies. She leads projects integrating machine learning into medical diagnostics, robotic interaction, and sustainable manufacturing processes. Active in international collaborations, she coordinates Erasmus+ programs and contributes to advancements in explainable AI, data privacy, and human-centered technology design. Her work spans AI-driven solutions for chronic disease management (e.g., heart failure, diabetes), emotion simulation in VR, and multimodal conversational interfaces. She explores ethical implications of AI in healthcare and robotics, with notable contributions to melanoma detection systems, ECG analysis frameworks, and cold spray coating optimization. Her research emphasizes practical applications across domains such as precision agriculture, wildfire safety, and elderly care technology. Key Areas: AI in Medicine, Human-Robot Interaction, Sustainable Manufacturing, Biomedical Signal Processing, Virtual Reality Applications Technologies: Deep Learning, NLP, Edge Computing, Multimodal Interfaces, IoT Analytics International Collaboration: Erasmus+ programs for academic exchange and training Tortora’s publications reflect a commitment to bridging theory and practice, with recent emphases on AI reliability, data anonymization, and interdisciplinary innovation. Her lab develops tools like HAYT (NLP mental health application) and Muxi (metaverse conversational interface), showcasing cutting-edge tech for societal impact.

Amitabha Deyمشاهده پروفایل

مدرس

• Natural Language Processing
• Large Language Models (LLMs)
• Data Science
• +۴ مورد دیگر

Amitabha Dey is a Lecturer in the Department of Computer Science at the University of North Carolina at Greensboro (UNCG). He holds an MSc in Computer Science (concentration in Big Data/Data Science) and BSc in Computer Science from UNCG and BRAC University, respectively. His research focuses on Natural Language Processing (NLP), Large Language Models (LLMs), and their applications in misinformation detection and conversational AI. He specializes in developing computational models to enhance context awareness through multimodal analysis (text, images, audio) and improving emotion recognition in AI systems. Education: MSc Computer Science, University of North Carolina at Greensboro BSc Computer Science, BRAC University Research Interests: Multimodal content analysis for context-aware AI Cross-lingual misinformation detection Emotion recognition in conversational systems Teaching: CSC105: Data, Computing, and Quantitative Reasoning CSC250: Foundations of Computer Science I CSC261: Computer Organization & Assembly Language

Geoff Beattieمشاهده پروفایل

استاد

• Implicit Cognition
• Multimodal Communication
• Climate Change Psychology
• +۶ مورد دیگر

Geoff Beattie is Professor of Psychology at Edge Hill University and Visiting Scholar at the Oxford Centre for Life-Writing (OCLW) and Wolfson College, University of Oxford. His research bridges implicit cognition , multimodal communication , and psychological barriers to climate action , with applications in policy, equality promotion, and media psychology. Education First Class Degree in Psychology, University of Birmingham PhD, University of Cambridge (Trinity College) Research Themes Multimodal Communication: Investigates how gestures and speech interact in meaning-making, with implications for deception and conversational dynamics. Climate Change Psychology: Focuses on implicit-explicit attitude gaps, optimism bias, and sustainable consumer behavior. Racial Bias: Examines unconscious prejudice in employment and strategies to combat systemic discrimination. Scientific Recognition Recipient of the Spearman Medal (BPS) and Mouton d'Or (semiotics). Multiple book awards and shortlistings, including recognition for Why Aren't We Saving the Planet? and Our Racist Heart? . Public Engagement 11-time on-screen psychologist for Big Brother (Channel 4). Author of Get the Edge (international bestseller) and 27+ books. Consulting Producer for the Hollywood film Giant , based on his boxing research.

Denis Kopylovمشاهده پروفایل

پژوهشگر

• Nonlinear Optics
• Quantum Optics
• Photonics
• +۳ مورد دیگر

Dr. Denis Kopylov is a Researcher at Paderborn University, affiliated with the Faculty of Science and the Department of Physics. He is part of the Computational Optoelectronics and Photonics research group. His work focuses on theoretical and applied aspects of nonlinear optics, quantum optics, and photonics. Key research interests include squeezed light generation, parametric down-conversion, harmonic generation, and optical circuit design. Dr. Kopylov has published extensively on topics such as multimode systems, quantum state classification, and the impact of losses in optical media. His recent publications explore advanced theoretical frameworks for nonlinear optical processes, including entanglement extraction from squeezed light and cascaded frequency conversion mechanisms. He actively contributes to the development of functional microstructures in integrated photonics, such as waveguides and microcavities. His research bridges fundamental quantum optics with practical applications in optical engineering and materials science. No awards or grants are explicitly mentioned in the provided texts. Dr. Kopylov’s work emphasizes both theoretical modeling and experimental relevance in optoelectronic systems, with a focus on broadband multimode light and ultrafast photonics phenomena.

• Visual Analytics
• Information Visualization
• Computational Linguistics
• +۳ مورد دیگر

Menna El-Assady is an Assistant Professor at ETH Zurich's Department of Computer Science , leading the Interactive Visualization and Intelligence Augmentation Lab (IVIA) . She works at the intersection of data analysis, visualization, computational linguistics, and explainable AI , focusing on combining machine learning with visual analytics for text data. Current affiliations: ETH Zurich (Department of Computer Science, AI Center) Previous roles: Research Fellow at ETH AI Center, Research Associate at University of Konstanz, Doctoral Student at OntarioTech University Research Interests El-Assady's work focuses on human-AI collaboration , particularly through: Interactive systems for topic model refinement and language model explainability Visual analytics frameworks for argumentation analysis and digital humanities Explainable AI solutions for medical decision support and political deliberation Trust calibration mechanisms in generative AI and recommender systems Scientific Contributions Developed explAIner - a visual analytics framework for explainable machine learning Created LingVis - integrating computational linguistics with visual analytics Designed VALIDA and VisArgue for analyzing political debates and rhetoric Co-organized workshops: ArgVis , Vis4DH , VisLR , and VISxAI Academic Recognition Best Paper Award: Honorable Mention (IEEE Trans. on Visualization and Computer Graphics, 2018) 2024 VGTC Visualization Significant New Researcher Award

• Multimodal Interaction
• Artificial Intelligence
• Human-Computer Interaction
• +۳ مورد دیگر

Hung-Hsuan Huang is an academic researcher focused on multimodal interaction, embodied conversational agents, and educational technology. His work spans topics such as virtual agent behavior, gamified learning systems, and nonverbal communication analysis. Collaborating frequently with institutions like Osaka University, he has published extensively in venues including HCI, ICMI, and IVA conferences. His research often integrates machine learning techniques with human-computer interaction challenges, particularly in educational and collaborative environments. Key research areas include: (1) Designing virtual agents for tutoring and teacher training, (2) Multimodal assessment systems using speech and body language analysis, (3) Gamification mechanisms for knowledge refinement and skill evaluation, and (4) Cross-cultural interaction frameworks for virtual guides. Recent work emphasizes applications in language proficiency assessment and teacher training simulations. Notable contributions include developing frameworks for integrating embodied conversational agents, simulating group discussion dynamics, and creating virtual classroom environments for skill evaluation. His methodologies often combine deep learning with behavioral analysis to address challenges in human-agent collaboration.

Farhana Zulkernineمشاهده پروفایل

استاد

• Big Data Analytics
• Artificial Intelligence
• Cognitive Computing
• +۵ مورد دیگر

Farhana Zulkernine is a Professor and Coordinator of the Cognitive Science program at Queen's University's School of Computing. She earned her Ph.D. in Computer Science from Queen's and is a licensed Professional Engineer (PEng). With over 15 years of international experience in software design and research, she collaborates with IBM Canada, SAP Germany, and medical institutions. Her research focuses on big data analytics, cognitive computing, and AI applications in healthcare, autonomous systems, and smart cities. She directs the Bigdata Analytics and Management (BAM) Lab and chairs major conferences like IEEE International Conference on Digital Health. Education: Ph.D. in Computer Science (Queen's University, 2009). Research Interests: Big data management, AI-driven decision systems, healthcare informatics, cloud computing, and autonomous vehicle technologies. She applies these to medical diagnostics, wearable health monitoring, and urban smart systems. Grants & Funding: Supported by NSERC, CFI, IBM, and others for projects like dementia detection via AI and remote triage systems. Recent grants include NSERC New Frontiers (2023-2026) and Medlior-Roche collaborations. Teaching: Teaches courses in cognitive science, machine learning, and neural networks. Recent courses include COGS 100 and CISC-874. Labs & Teams: Leads the BAM Lab, contributing to projects like Triage-Bot and Assist-Bot. Active in Queen's Conflicts Analytics Lab and SOSCIP Scientific Advisory Committee.

• Digital Interface Design
• Behavior Change Technology
• Human-Computer Interaction
• +۴ مورد دیگر

Dr. Diego Garaialde is a Marie Curie Research Fellow (PD Level 2) at the School of Computer Science, University College Dublin. His research focuses on digital interface design for behavior change, habit formation, and dual-processing decision-making frameworks. He holds a BSc in Psychology (Dublin City University), MSc in Cognitive Science (UCD), and a PhD in Human-Computer Interaction. Research Interests : Behavior Change Technology Human-Machine Dialogue Mechanisms Cognitive Impact of Interface Design Ethical Considerations in Conversational Interfaces Temporal Dynamics in User Engagement Grants : NeuroInsight Fellowship (Horizon Europe, 2024-2026): Investigates circadian disruption's cognitive effects through interface design interventions. Key Research Contributions : Developed the Partner Modelling Questionnaire (PMQ), validated self-report metrics for human-machine interaction perceptions. Pioneered studies on egocentrism in human-computer dialogue, gamification reward placement effects, and interface habit formation quantification. Labs & Teams : Active in UCD's Human-Computer Interaction research group, collaborating on interdisciplinary projects involving cognitive science and behavioral design principles.

Margherita Mazzeraمشاهده پروفایل

استاد

• Quantum Information Science
• Quantum Memories
• Rare Earth Doped Materials
• +۵ مورد دیگر

Margherita Mazzera is a Professor at Heriot-Watt University's School of Engineering & Physical Sciences, affiliated with the Institute of Photonics and Quantum Sciences. She holds a PhD and has held academic positions at institutions including the Institut de Ciències Fotòniques (2012–2018) and the University of Parma (2007–2012). Her research focuses on quantum memories, rare earth ion doped materials, and integrated quantum devices, bridging experimental solid-state physics, nanoscience, quantum optics, and quantum information science. She explores telecom-compatible platforms for on-chip quantum systems, emphasizing light confinement and material coherence. Her work spans quantum entanglement, photon storage, and fiber-integrated systems, with recent contributions to multimode quantum memories and entanglement distribution. Mazzera's research has been published in high-impact journals like Science Advances and Laser and Photonics Reviews . She actively supervises PhD students and collaborates internationally, contributing to advancements in quantum communication and optical technologies.

• Speech Perception
• Audiovisual Integration
• Phonetics
• +۳ مورد دیگر

Dawn Marie Behne is a Professor at the Department of Psychology, Faculty of Social and Educational Sciences, Norwegian University of Science and Technology (NTNU). Her research focuses on audiovisual speech perception, phonetic adaptation, and cognitive neuroscience, often using ERP and behavioral methodologies. Her work explores: Audiovisual integration in speech and music Phonetic adaptation in human-computer interaction Age-related changes in perceptual processing Cross-linguistic speech perception Effects of musical expertise on speech processing Recent publications analyze speech style expectations, real-time conversations with AI, and gender representation in cognitive tasks. Collaborations span linguistics, psycholinguistics, and artificial language studies. Key research areas include speech perception, cognitive neuroscience, psycholinguistics, and phonetics. Her lab (SCaLa Group) investigates perception of speech, music, and infant-directed speech dynamics.

• Language Documentation
• Morphosyntax
• Interactional Linguistics
• +۳ مورد دیگر

Nicholas Williams is an Assistant Teaching Professor in the Department of Linguistics at Montclair State University's College of Humanities and Social Sciences. His primary teaching responsibilities include courses such as Introduction to Linguistics, Structure of American English, and Language and Culture. He holds a PhD in Linguistics from the University of Colorado Boulder (2016), with a dissertation focusing on place reference systems in Kula, a Papuan language of Indonesia. Dr. Williams' research expertise spans language documentation, interactional linguistics, and the study of languages of Indonesia. He has conducted fieldwork on endangered languages such as Kula, Wa'ikhana (East Tukano, Brazil), and Kotiria, contributing to both theoretical linguistics and applied documentation efforts. His work often intersects with sociolinguistics, examining how language structures reflect cultural practices and spatial cognition. Before joining Montclair State, Williams taught at institutions including CUNY (Queens College, City College, Baruch College), Dartmouth College, and the University of Potsdam. His publications address topics ranging from multilingualism in Amazonian communities to methodological innovations in documentary linguistics during crises like the COVID-19 pandemic. His recent research trends emphasize the integration of conversational data into language documentation frameworks and the analysis of interactional structures in politically charged institutional settings. This work demonstrates his commitment to bridging theoretical linguistic inquiry with applied challenges in language preservation and sociocultural documentation.

Emily Hoffmanمشاهده پروفایل

استادیار

• Early Literacy
• Curriculum Studies
• Teacher Professional Development
• +۳ مورد دیگر

Dr. Emily Hoffman is an Assistant Professor in Early Childhood Education at National Louis University's National College of Education. Her research examines early literacy development, educational equity, and teacher professional development. Her scholarship critically analyzes literacy curricula, assessment practices, and policy impacts in early childhood settings. Recent work investigates digital literacies, multimodal learning, and inclusive pedagogical approaches. Dr. Hoffman's publications demonstrate consistent focus on bridging research and practice, with emphasis on teacher agency in standardized educational contexts. She teaches courses in early childhood education foundations and methodologies.

Brian Scassellatiمشاهده پروفایل

استاد

• Social Robotics
• Human-Robot Interaction
• Artificial Intelligence
• +۴ مورد دیگر

Brian Scassellati is the A. Bartlett Giamatti Professor of Computer Science at Yale University, with an additional appointment in Mechanical Engineering. His research focuses on social robotics, human-robot interaction, and developmental psychology, particularly in autism therapy and assistive technologies. Scassellati earned his Ph.D., M.Eng., and B.S. from MIT, specializing in robotics and cognitive science. He leads the Social Robotics Lab, developing robots to support human social development and mental health. Notable achievements include the A. Richard Newton Breakthrough Award (2008), Alfred P. Sloan Fellowship (2007), and multiple Best Paper Awards. His work bridges computational models of social behavior with practical applications in healthcare and education. Education: Ph.D. in Computer Science, MIT M.Eng. in Computer Science, MIT B.S. in Computer Science, MIT Key Research Themes: Autism therapy through socially assistive robots Human-robot collaboration and trust AI-driven educational tools His recent publications emphasize long-term human-robot interactions, ethical AI guardrails, and stress/anxiety reduction in clinical settings. Scassellati’s work frequently explores how robots can mediate social norms, enhance team cohesion, and improve human well-being through personalized interventions.

• Augmented Reality
• Medical Imaging
• Human-Computer Interaction
• +۳ مورد دیگر

Ulrich Eck is a researcher affiliated with the Technical University of Munich, Germany. His work focuses on advancing augmented reality (AR) and mixed reality (MR) technologies with applications in medical imaging, surgical assistance, and human-computer interaction. He collaborates extensively with institutions like the University of Hamburg and researchers such as Nassir Navab, a prominent figure in medical imaging. His research interests center on developing immersive visualization techniques, haptic interfaces, and collaborative systems. Key projects include enhancing robotic ultrasound acceptance via conversational agents, optimizing telepresence systems for surgical training, and creating semantic models for operating room environments. Eck also contributes to foundational AR frameworks like Duplicated Reality for co-located collaboration and visuo-haptic integration. Publications span journals like IEEE Transactions on Visualization and Computer Graphics and conferences such as ISMAR and MICCAI, reflecting a strong emphasis on medical applications. His work bridges technical innovation with clinical usability, aiming to improve surgical training, patient care, and interdisciplinary collaboration. Eck holds leadership roles in academic communities, including co-chairing the ISMAR 2024 Science and Technology Program. His contributions span over 80 peer-reviewed publications, highlighting sustained impact in AR/MR research.