جست‌وجوی استاد و پژوهشگر

Aditya Joshiمشاهده پروفایل

مدرس ارشد

• Natural Language Processing (NLP)
• Machine Learning
• Cybersecurity
• +۴ مورد دیگر

Dr. Aditya Joshi is a Senior Lecturer in the School of Computer Science & Engineering at the University of New South Wales (UNSW). He specializes in Natural Language Processing (NLP), with a focus on sarcasm detection, dialectal NLP, and ethical AI applications in public health and cybersecurity. He joined UNSW in 2023 following industry roles at SEEK, Notiv, and Fractal Analytics, where he developed NLP systems for recommendation engines and meeting analytics. His research has garnered over 3,000 citations (h-index 26) and secured $3.1M in grants, including Defence Trailblazer and Google exploreCSR awards. Education: Joint PhD (2018) from IIT Bombay (India) and Monash University (Australia); MTech in CSE (2011) from IIT Bombay. Research Interests: Making NLP models robust for non-native English speakers and the LGBTI+ community, algorithmic enhancements to transformers, and applications in public health, cybersecurity, and societal issues. His work spans epidemic intelligence (collaborations with EPIWATCH and IFCYBER), cybersecurity tools like AuditNet, and inclusive AI initiatives such as queer-inclusive workshops funded by Google. He designed UNSW's new NLP course (COMP6713) and co-authored a Wiley textbook on NLP. Notable grants include the A$1.4M 'Comprehensive Defence Data Platform' (Lead CI) and A$92K Google exploreCSR grant for benchmarking dialectal sentiment. His awards include the Best PhD Thesis from IITB-Monash and Best Paper accolades at FAccT 2023 and MoMM 2020. He supervises projects on kernel-based attention reformulation, prompt-based sarcasm detection, and multilingual small-scale LLMs. His service roles include Executive Committee Member at ALTA and arXiv moderator for computational linguistics.

• Neurolinguistics
• Computational Linguistics
• Psycholinguistics
• +۴ مورد دیگر

Jon Brennan is an Assistant Professor in the Department of Linguistics at the University of Michigan, affiliated with the College of Literature, Science, and the Arts (LSA). His research focuses on neurolinguistics, computational linguistics, and psycholinguistics, particularly investigating how the brain processes language structure and meaning. He leads the Computational Neurolinguistics Lab, which develops neurocomputational models to study language comprehension mechanisms. Brennan received an NSF Grant for collaborative research with Christophe Pallier (Paris) on neurocomputational models of natural language processing. His work integrates EEG, fMRI, and MEG techniques to decode linguistic features in neural signals. Key research areas include syntax-semantics interfaces, multilingual processing, and developmental disorders like dyslexia. Notable contributions include studies on hierarchical syntactic structure, minimal pairs in language models, and neural correlates of theory of mind in children. Brennan collaborates internationally, exemplified by the US-French NSF-CRCNS grant. He has published extensively on topics like neural decoding of grammatical features, LLM internal representations, and bilingual processing mechanisms. Scientific awards include the NSF Collaborative Research in Computational Neuroscience (CRCNS) Grant (2016). His research bridges computational modeling and experimental neuroscience, aiming to reveal how language mechanisms are implemented in neural systems.

Martin Corleyمشاهده پروفایل

استاد

• Speech Production
• Language Comprehension
• Psycholinguistics
• +۳ مورد دیگر

Martin Corley is a Professor of Speech, Language, and Cognition and Head of Psychology at the University of Edinburgh's School of Philosophy, Psychology and Language Sciences. He holds a full-time academic position and has been affiliated with the University of Edinburgh since 1995, after completing his PhD at the University of Exeter. His research focuses on speech production and comprehension, particularly the role of disfluencies (e.g., 'um,' 'er,' silent pauses) in communication, employing methods like eye-tracking, EEG, and ultrasound imaging. Corley teaches courses such as the MSc in Univariate Statistics and Methodology using R. He currently supervises PhD students Wei Li (Lead), Esperanza Badaya (Lead), and Nora Wolf (Secondary). His work has led to over 50 publications, including studies on scalar quantifier interpretation, deception detection, and the cognitive processing of non-literal language. He is actively involved in academic recruitment, recently advertising a teaching-focused Lecturer position in Psychology. Corley’s research interests span psycholinguistics, cognitive science, and neurolinguistics, with a focus on real-time language processing and social reasoning. He collaborates internationally and maintains a Google Scholar profile and personal website (martincorley.org). His Erdős number is 4, indicating academic collaboration proximity to Paul Erdős.

• Discourse Analysis
• Political Communication
• French Linguistics
• +۳ مورد دیگر

Dr hab. Joanna Jereczek-Lipińska, prof. UG is an Associate Professor at the University of Gdańsk's Faculty of Languages, where she leads the Division of Romance Linguistics and serves as Deputy Dean for Education. Her academic career spans over two decades of research and leadership in Romance philology and discourse studies. Head of Division, Division of Romance Linguistics Deputy Dean for Education, Faculty of Languages Associate Professor, Institute of Romance Philology Specializing in discourse analysis and political communication , her work examines: Fixed vs. free discourse in French political contexts Intersections of semiotics and language didactics Self-reference patterns in parliamentary debates Globalization's impact on linguistic diversity Translation studies with computational applications Irony and sarcasm as rhetorical tools Her recent publications reveal a focus on French political discourse (2007-2018), particularly government questioning sessions, combined with innovative approaches to language teaching and semantic mechanisms . While no explicit awards are listed, her habilitation degree ( dr hab. ) and professor title indicate significant academic achievements.

ZÜLKÜF KILIÇمشاهده پروفایل

مدرس

• Classical Turkish Poetry
• Ottoman Literature
• Literary Sociology
• +۳ مورد دیگر

ZÜLKÜF KILIÇ is a Lecturer at the Department of Turkish Language and Literature, Faculty of Arts and Sciences, Bingöl University. His research focuses on classical Turkish poetry, Ottoman literature, and sociological approaches to literary analysis. He specializes in examining themes like social criticism, satire, panegyrics, and the interplay between poetic forms and societal structures in Ottoman and classical Turkish poetry. Key research interests include: Social criticism in Ottoman poetry Comparative analysis of classical Turkish poets Historical evolution of poetic forms Cultural and political dimensions in classical works His publications span from 2008 to 2023, with notable trends in: Analysis of Bâkî's poetic techniques Cultural alienation and identity in classical poetry Comparative studies of Ottoman poets across regions Functional analysis of poetic sections like panegyrics and elegies No scientific awards or grants are explicitly mentioned in the provided text. His academic role remains active with no indication of part-time status or retirement.

• Machine Learning
• Natural Language Processing
• Information Retrieval
• +۳ مورد دیگر

David Robert Shannon is an Instructor at the Department of Computer Science, University of Copenhagen. He contributes to teaching and research within the Machine Learning section, which participates in the SCIENCE AI Centre. University: University of Copenhagen Department: Department of Computer Science Section: Machine Learning His research interests span theoretical and applied machine learning, focusing on natural language processing, information retrieval, medical image analysis, computational biology, and quantum computing applications. He utilizes the department's powerful compute cluster for projects involving AI's environmental impact, quantum algorithms, and biomedical data modeling. Recent publications highlight work in quantum-inspired neural networks, sustainable AI, medical diagnostics, and cross-cultural computational frameworks. Key themes include ethical considerations in AI, hybrid quantum-classical systems, and multimodal data analysis. David collaborates with the Machine Learning section and SCIENCE AI Centre, leveraging resources like TreeSense for remote sensing and deep learning of global tree resources. The section's activities range from foundational research to applications in sustainability and biological data modeling.

Swapna S. Gokhaleمشاهده پروفایل

دانشیار

• Spatial Machine Learning
• Social Determinants of Health
• Health Outcomes Research
• +۵ مورد دیگر

Swapna S. Gokhale, Ph.D. is an Associate Professor in the School of Computing at the University of Connecticut . Her work bridges computer science and public health through innovative applications of spatial machine learning to understand how social determinants influence health outcomes across communities. Education Ph.D. in Computer Science from Duke University (1998) Research Focus Dr. Gokhale's research program centers on developing and applying spatial machine learning approaches to study how social determinants of health impact health outcomes , health risk behaviors , and preventive services . Her work represents a critical intersection between computational methods and public health research, utilizing advanced analytics to uncover patterns in health disparities and inform evidence-based interventions. Her research spans multiple domains including: Machine learning applications in healthcare and epidemiology Social media analytics for understanding public health discourse 5G network optimization and Internet of Things (IoT) applications Software reliability and cloud computing systems Network security and performance analysis Research Portfolio Analysis Dr. Gokhale's recent publications demonstrate a sophisticated research portfolio that evolved from foundational work in software reliability and network systems to cutting-edge applications in computational public health . Her 2024-2025 publications prominently feature spatial machine learning approaches applied to critical health issues including suicide mortality, chronic disease outcomes, and social deprivation effects on health behaviors. The work shows consistent application of advanced computational techniques to address pressing societal challenges. Contact & Collaboration Dr. Gokhale maintains an active research presence with her Google Scholar profile serving as a comprehensive repository of her scholarly work. She is available for collaboration through her university email and welcomes partnerships that advance the intersection of technology and health outcomes research.

Filip Ilievskiمشاهده پروفایل

استادیار

• Commonsense Reasoning
• Neurosymbolic AI
• Analogy and Abstraction
• +۱۱ مورد دیگر

Filip Ilievski serves as an Assistant Professor of Commonsense AI (Sr.) at Vrije Universiteit Amsterdam, where he leads the Learning and Reasoning Group. He holds additional affiliations as an Affiliated Scientist at USC Information Sciences Institute and Amsterdam Sustainability Institute, and serves as Scientific Coordinator of the Digital Sustainability Institute (DiSC). His academic journey includes a PhD from Vrije Universiteit Amsterdam (2015-2019), research positions at USC (2019-2023), and a research visit to Carnegie Mellon University (2017). Dr. Ilievski's research focuses on advancing human-centric AI with common sense for social good applications. His work spans three interconnected areas: commonsense reasoning (including situational awareness, numeracy, and modeling of other agents), analogy and abstraction (studying cognitive generalization mechanisms through narratives and lateral thinking puzzles), and AI for social good (interpreting complex online media like internet memes and developing knowledge-based solutions for sustainable policies). He employs neuro-symbolic methods including prototype-based networks, combining LLMs with deterministic engines, and reasoning with scene knowledge graphs to create robust, interpretable AI systems. His publication record shows a strong trend toward multimodal reasoning and practical applications of commonsense AI, particularly in understanding internet memes, developing sustainable AI solutions, and creating robust evaluation frameworks like the MARVEL benchmark. Recent work increasingly integrates cognitive theories with neural architectures to address limitations in current foundation models, with particular emphasis on explainability and cultural context awareness. Best Student Paper Award at K-CAP for 'Knowledge-enhanced Agents for Interactive Text Games' Best Paper and Best Presentation Award at Workshop on Multimodal Content Analysis for Social Good (MM4SG) Book 'Human-Centric AI with Common Sense' published in Springer Nature Synthesis series Dr. Ilievski actively supervises a growing team of PhD students and postdocs, with current projects focusing on visual commonsense reasoning, meme semantics, analogical abstraction, multimodal alignment, and architectures for human-centric AI. His Digital Sustainability Institute (DiSC) coordinates research on knowledge-driven AI for sustainable policies, while his Situated AI minor program develops next-generation AI education. He maintains active collaborations with institutions including USC, CMU, RPI, University of Lyon, UvA, University of Bielefeld, and industry partners like Bosch Research, NEC Labs, Merit Technologies, and Tencent.

Alina Larsonمشاهده پروفایل

پژوهشگر

• Human-Computer Interaction
• Psycholinguistics
• Cognitive Psychology
• +۴ مورد دیگر

Alina Larson is a researcher specializing in human-computer interaction, psycholinguistics, and cognitive psychology. She recently worked at Heriot-Watt University on human-robot dialogue projects at the National Robotarium, collaborating with Matthew Aylett and engineers to implement more naturalistic human-robot conversation with focus on backchannels and turn-taking speed. Dr. Larson completed her doctorate in Cognitive Psychology with a focus on Psycholinguistics from UC Santa Cruz in Spring 2019. Her doctoral research examined first impressions in human-computer interaction, specifically investigating how visual and rhythmic expression affects personality judgments of both machine and human agents. She received her bachelor's degree from Lewis and Clark College in Spring 2012 with a double major in Psychology and Foreign Languages (Russian and French). Her research interests span human-robot interaction, sarcasm comprehension, collaborative synchrony, and the cognitive mechanisms underlying social perception. Dr. Larson's work bridges cognitive psychology with practical applications in artificial intelligence and human-computer interfaces, with numerous publications exploring how humans perceive and interact with machine agents. Her research demonstrates how contextual framing significantly influences how machine agents are perceived beyond just speech content. Outside academia, Dr. Larson is active in the arts and community. She enjoys playing music, particularly uilleann pipes, and has dabbled in tune-writing. She maintains an artwork portfolio and has been involved with community dance organizations including East Bay Waltz (where she helps prepare and run dances, DJs, designs logos, and takes photos) and Ceili Without Ceilings (where she helps organize events and teach dances). As a child, she advocated for the rebuilding of Cragmont School alongside her mother in Berkeley, CA. Currently, Dr. Larson works as a Social Media Marketing Specialist and Content Creator with Lark in the Morning, managing brand presence on social media sites and handling various creative tasks including newsletters, website maintenance, and photography.

Daniel Voyerمشاهده پروفایل

استاد

• Laterality (Brain hemisphere specialization)
• Sex-related cognitive differences
• Time perception
• +۴ مورد دیگر

Daniel Voyer is a Professor in the Department of Psychology at the University of New Brunswick's Faculty of Arts. His research spans three primary areas: laterality and emotional processing, sex-related differences in spatial cognition, and time perception mechanisms. He teaches undergraduate statistics and graduate advanced research methods. PhD (University of Waterloo) MSc/BS (Université de Montréal) His research in laterality explores emotional priming and cerebral hemisphere specialization, while his work on cognitive differences investigates visuo-spatial task performance across genders. Recent studies examine affective influences on time estimation and spatial-auditory interactions. Key publication trends show consistent focus on: Brain lateralization mechanisms Gender-specific cognitive patterns Time perception anomalies Visuo-spatial processing Emotion-cognition interactions Methodological innovations Scientific Recognition : Faculty of Arts Teaching Award UNB Merit Award University Research Scholar His work combines psycholinguistic analysis, neuropsychological assessments, and experimental design to advance understanding of cognitive processing differences and temporal perception mechanisms.

• Computational creativity
• Computational linguistics
• Artificial intelligence
• +۳ مورد دیگر

Björn Gambäck is a Professor of Language Technology at the Department of Computer Technology and Informatics, NTNU. His research focuses on computational creativity, computational linguistics, artificial intelligence, and machine learning, with a strong emphasis on natural language processing (NLP) and language technology. He actively contributes to the academic community through teaching courses such as 'Intelligent Text Analysis and Language Comprehension' and supervising master's theses. His work includes advancing techniques for sentiment analysis, code-mixed language processing, and computational creativity. Recent research highlights include developing deep learning models for code-mixed social media analysis and exploring coreference resolution in entity-level sentiment tasks. Gambäck’s contributions span interdisciplinary areas, such as applying evolutionary algorithms to media repositories and music composition. Notable collaborations include projects on hate speech detection, sarcasm annotation in tweets, and named entity recognition for low-resource languages like Amharic. His expertise bridges theoretical advancements and practical applications in NLP and computational systems.

• Speech Perception
• Speech Production
• Prosody
• +۳ مورد دیگر

Laura Smorenburg is an Assistant Professor at Utrecht University's Department of Languages, Literature and Communication under the Institute for Language Sciences . Her work focuses on experimental phonetics and speech processing, particularly in second language acquisition and neurodevelopmental disorders. Academic affiliation: Utrecht University Department: Languages, Literature and Communication Institute: Language Sciences Teaching: Courses in 'Prescribing and Describing English', 'The Psychology of Second Language Acquisition', and 'The Sound Lab' Research Interests include: Prosody in speech perception and production Language acquisition in neurodiverse populations Forensic phonetics applications Acoustic analysis of speech sounds (fricatives, nasals) Speaker-dependent variability in speech Key Publications (2015-2024) demonstrate consistent focus on: Acoustic-phonetic analysis across Dutch dialects Prosodic features in atypical populations Statistical modeling of speech patterns Cross-linguistic communication studies Forensic speech science applications Telecommunication signal processing

Melanie Glenwrightمشاهده پروفایل

استاد

• Developmental Psychology
• Verbal irony
• Sarcasm
• +۳ مورد دیگر

Melanie Glenwright is a Professor in the Department of Psychology within the Faculty of Arts at the University of Manitoba, conducting research on social communication comprehension across developmental stages from children to adults. Based in Winnipeg's Duff Roblin Building, she employs experimental and survey methodologies to investigate complex communicative phenomena in real-world contexts. Her academic foundation includes a PhD (2006) and MSc (2002) in Experimental Psychology from the University of Calgary, complemented by a BA (Honours) in Psychology from the University of Winnipeg (1999). These qualifications underpin her rigorous approach to developmental research. Dr. Glenwright's work critically examines verbal irony and sarcasm comprehension , gossip dynamics , prosocial teasing mechanisms , and humour's social functions . Her research reveals how cultural background, language proficiency, and neurodevelopmental factors shape interpretation of non-literal communication, with notable comparative studies between Canadian and Polish populations highlighting cultural relativity in communication norms. Analysis of her 2021-2025 publications shows evolving research trajectories from foundational comprehension studies toward cross-cultural applications and clinical implications, particularly regarding autism spectrum disorder and multilingual communication. Her work consistently bridges theoretical linguistics with practical social psychology. Dr. Glenwright leads the Communication & development Lab , which investigates the cognitive and social underpinnings of communicative intent recognition. The lab's current inquiries address why humans engage in gossip, how contextual cues facilitate sarcasm detection, and the cultural parameters governing prosocial teasing across societies.

• Group Processes
• Emotions
• Morality
• +۳ مورد دیگر

Dr. Roberto Gutierrez is an Assistant Professor of Psychology at the University of Sussex's School of Psychology. He holds a PhD in Social Psychology from the University of Kent and has expertise in group processes, clinical psychology (anxiety/OCD), and organizational psychology. His research explores emotions, morality, and social dynamics, with a focus on clinical populations and neurodevelopmental conditions. He has published widely on topics such as emotion recognition in deaf children, workplace engagement, and moral psychology. Education: PhD in Social Psychology, University of Kent MSc Group Processes and Intergroup Relations, University of Kent MSc in Occupational Psychology, University of Hertfordshire BSc in Social Psychology, Universidad Autónoma Metropolitana Postgraduate Certificate in Learning and Teaching (Higher Education), Anglia Ruskin University Research Interests: Group identity and social dynamics Emotion processing in clinical and developmental populations Morality and moral judgment Workplace psychology and organizational identity ADHD, autism spectrum disorders, and tic disorders Teaching and Supervision: Convenes modules on clinical psychology, social psychology, and applied psychology Teaches undergraduate courses (e.g., C8524: Understanding Clinical Psychology) and postgraduate modules (e.g., 306C8: Classic and Contemporary Social Psychology) Professional Activities: External Examiner at Royal Holloway University of London (2023–present) External Examiner at London Metropolitan University (2017–2023)

Aoju Chenمشاهده پروفایل

استاد

• Language Acquisition
• Prosody
• Language Processing
• +۷ مورد دیگر

Prof. Aoju Chen is a Professor of English Linguistics: Language Development at Utrecht University's Faculty of Humanities, Department of Languages, Literature and Communication. She holds a VICI Grant (2021-2026) investigating prosodic development in early childhood and leads the NWO-funded VIDI project (2011-2016) on prosodic focus marking in children. Her research focuses on prosody's role in first and second language acquisition, with interdisciplinary projects in the Dynamics of Youth strategic theme exploring prosody's link to children's sense of belonging. Her expertise spans Information Structure, Language Comprehension, and Phonology, with a strong emphasis on cross-linguistic studies. Key projects include prenatal prosody acquisition and robot-assisted language learning. She has published extensively on prosodic focus marking, intonation, and bilingualism, with over 50 peer-reviewed articles since 2004. Awards include prestigious NWO grants and contributions to Oxford Handbook of Language Prosody (2020). Her research integrates experimental methods with computational prosody analysis, addressing both theoretical and applied questions in developmental linguistics. She leads the English Linguistics: Language Development chair and collaborates with robotics teams to apply prosody insights in educational technology. Her work bridges phonetics, psychology, and education, emphasizing real-world applications for language learning and child development.