Omid Reza Abbasi is a Research Fellow in Geoinformatics at the University of Salzburg , specializing in the integration of Artificial Intelligence, Machine Learning, and Geographic Information Systems (GIS) to address complex spatial challenges. His work spans diverse domains including spatio-temporal modeling, human mobility prediction, and semantic similarity measures in geospatial contexts. Projects : Collaborated on 'RegioWoodTrain,' a project focusing on sustainable regional wood transport through cooperative supply chain management using simulation and AI technologies. Research Interests : Omid's research emphasizes the application of AI and GIS in urban planning, transportation systems, and social media analysis. Key areas include: Large Language Models (LLMs) for geographical representation Semantic similarity assessment in geospatial data Human mobility pattern prediction using social networks Accessibility in WebGIS via audio interfaces Recommender systems for tourism and retail Spatio-temporal analysis of public services and environmental impacts Publications : His recent work explores the use of LLMs in GIS, novel semantic similarity metrics, and spatio-temporal modeling for urban governance. Articles from 2018-2025 highlight trends in AI-driven spatial analysis, collective mobility prediction, and georeferencing of semi-structured data. Contact : Email: omidreza.abbasi@plus.ac.at
Géraldine Walther is a faculty member in the Department of Linguistics at George Mason University (GMU), joining in August 2019. Her research bridges computational linguistics, linguistic typology, and cognitive science, focusing on system-level patterns in linguistic sub-organization and their implications for cognitive processing, development, and diachronic change. She employs computational and quantitative methodologies on original data, often collected through language documentation projects. Education: Doctorate in Linguistics (2013), Université Paris Diderot; MA in Linguistics (2007), INALCO Paris; BA in Linguistics and German Studies (2004), Université Lumière Lyon 2 & ENS de Lyon. Research Focus: Morphological complexity, canonical typology, language documentation, and computational modeling. Grants: NSF EAGER Grant (2022-2024), Commonwealth Cyber Initiative Grant (2022), NSF DEL/DLI Grant (2021-2024), CAHMP Seed Grant (2021-2022), IXXI/ISH Grant (2016-2018). Her supervised dissertation work includes Yamei Wang’s study on Mandarin classifier systems. She has received prestigious awards, including the ASLAN Postdoctoral Fellowship and Networds Visiting Grant. Walther is establishing GMU’s Computational Linguistics Lab and expanding the curriculum to include computational linguistics.
Orsolya Kolozsvari is a Project researcher at the University of Jyväskylä's Department of Psychology within the Faculty of Education and Psychology. Her work focuses on auditory neuroscience and speech processing, utilizing MEG and the Human Neocortical Neurosolver (HNN) to investigate developmental changes in speech perception and production across adults and children. Research Focus: Neural mechanisms of speech envelope tracking Tools: MEG, HNN modeling Collaborations: Involved in international projects like PredictAble (MSCA ITN) Her recent publications highlight studies on audiovisual integration, grapheme-phoneme associations, and neural oscillations in speech processing. These works span 2017-2021 with Open Access availability.
Sandy LaTourrette is a Post-doctoral researcher in the School of Arts and Sciences at the University of Pennsylvania, investigating the interplay between language and cognition across developmental stages from infancy through adulthood. His work employs eye-tracking methodologies (including gaze location and pupillometry) and behavioral measures to examine cognitive processing in infants as young as 6 months, preschoolers, elementary-age children, and adults. His core research focuses on psycholinguistics and language acquisition, specifically exploring how object labeling influences infant categorization and memory, mechanisms of word meaning learning, semantic mapping to different word classes (nouns/verbs/adjectives), vocabulary expansion through known words, and speech processing variations across accents and populations (bilingual children, late talkers). He collaborates with Dr. John Trueswell and Dr. Charles Yang on computational modeling of word learning mechanisms. Analysis of his recent publications reveals consistent emphasis on developmental trajectories in language-cognition interactions, with methodologies centered on eye-tracking paradigms and experimental behavioral tasks. His work bridges cognitive science, developmental psychology, and linguistics, demonstrating how language structures early cognitive processes. Dr. LaTourrette's contributions have been recognized through prestigious awards: Jean Berko Gleason Award at the Boston University Conference on Language Development National Science Foundation Graduate Research Fellowship National Institutes of Health National Research Service Award His research is supported by competitive federal fellowships and involves collaborative laboratory work with computational modeling teams. While formal student advising roles aren't documented, his methodology development and experimental design likely involve mentoring junior researchers in laboratory settings. Current research occurs in laboratory environments utilizing eye-tracking equipment, with particular focus on developmental advances in cognitive processing as revealed through pupillometry and gaze behavior across age groups.
Courtney E. Venker is an Assistant Professor in the Department of Communicative Sciences and Disorders at Michigan State University's College of Communication Arts and Sciences. She is a licensed and certified speech-language pathologist and serves as director of the Lingo Lab in the Oyer Speech and Hearing Building on campus. Her research focuses on language development in children with autism spectrum disorder (ASD), specifically examining how auditory-visual integration supports word learning. Using standardized assessments, behavioral coding of parent-child interactions, and eye-gaze tracking methodologies, she investigates how adults modify speech for children with language delays. Her work aims to identify optimal communication strategies that enhance language acquisition in ASD populations through visual attention mechanisms and simplified input structures. Her scientific recognition includes: Early Career Research Award from the National Institute on Deafness and Other Communication Disorders (NIDCD/NIH) Dr. Venker leads a 3-year NIH-funded project analyzing visual perceptual salience in word processing among toddlers and preschoolers with ASD, which supports her lab's mentoring of students in communicative sciences research. The Lingo Lab team employs advanced eye-tracking and behavioral analysis techniques to explore neurocognitive communication pathways, with findings featured in publications including JAMA Pediatrics.
Amy E. Booth is a Professor at Vanderbilt University’s Peabody College, Department of Psychology & Human Development, with a research focus on early emerging variability in school readiness, particularly language and science domains. She previously held faculty positions at the University of Texas at Austin and Northwestern University, including roles as Professor, Associate Professor, and Assistant Professor. Ph.D. in Developmental Psychology, University of Pittsburgh M.A. in Developmental Psychology, University of Virginia Sc.B. in Psychology, Brown University Her research explores causal reasoning, vocabulary gaps, and scientific literacy in young children, supported by major NSF grants like Science Sprouts 2.0 and Assessing the Viability of AIDA . Her work examines how causal information, parental interactions, and socioeconomic status influence early learning. Recent publications highlight her contributions to understanding causal stance as a predictor of scientific literacy, with keywords spanning Developmental Psychology, Cognitive Development, and Educational Research. Her awards include the Clarence Simon Award for Outstanding Teaching and being named a Fellow of the Association for Psychological Science. Ph.D. Students: Jihye Bae, Margaret Shavlik, Aubry Alvarez, Gwendolyn Fiske Grants: Multiple NSF and Spencer Foundation awards totaling over $2 million Service: Director of Psychology & Human Development Child Studies Group, NSF panelist, and editorial roles in Child Development and Developmental Science
Nathalie Huet is a Professor of Cognitive Psychology at the CLLE Laboratory (Cognition, Languages, Languages and Ergonomics), UMR 5263-CNRS, University of Toulouse Jean Jaurès. She serves as Director of the Department of Cognitive Psychology and Ergonomics within the Faculty of Psychology and holds leadership roles as Co-Scientific Manager of the CLLE Language and Cognitive Processes team and Co-Facilitator of the Education-Learning theme at CLLE. Her research centers on self-regulated learning models, examining relationships between cognitive, metacognitive, motivational variables and emotions in traditional and digital learning environments. She investigates virtual reality, augmented reality, and mixed reality applications (including Hololens 2) in academic and professional learning contexts, with emphasis on healthcare training for nurses and surgeons. Additional research strands include the use of AI aids like ChatGPT in learning processes and memory optimization factors related to language learning from an embodied cognition perspective. Analysis of her recent publications reveals a strong focus on embodied learning approaches in language education and memory research. Her work on embodied phonology methods for middle school English learners demonstrates significant impacts on pronunciation training and language acquisition. The PAC-PICL project represents a major contribution to embodied language teaching methodology, while her investigations into the "midscale disagreement problem" in psycholinguistic ratings have important methodological implications for cognitive science research. Professor Huet has supervised numerous doctoral students whose research aligns with her interests in self-regulated learning, embodied cognition, and educational technology. Her advisees have explored topics ranging from epistemic emotions in surgical training to cognitive investigations of pedagogical innovations and embodied approaches to language acquisition. She has secured various funding sources for these projects, including CIFRE partnerships with organizations like AFPA and SIMFORHEALTH. As Co-Scientific Manager of the Language and Cognitive Processes team at CLLE, Professor Huet leads interdisciplinary research that bridges cognitive psychology, linguistics, and educational technology. Her leadership in the CLLE Laboratory has fostered collaborations between psychologists, linguists, and ergonomists, creating a research environment focused on understanding human cognition in real-world educational contexts.
Ewa Wszendybył-Skulska is a Professor at the Jagiellonian University , affiliated with the Faculty of Management and Social Communication and specifically the Institute of Entrepreneurship . She teaches subjects including Strategic Human Resource Management, Gastronomy Management, Hospitality Management, and Tourism Marketing. Current Faculty Member Focus on Tourism, Entrepreneurship, and Sustainable Development Active in ResearchGate with 32 publications Her research interests center on entrepreneurship, competitiveness, innovation, value creation, and sustainable development in tourism. She explores quality in services, particularly within hotel and gastronomy management, emphasizing social and environmental responsibility in business practices. Recent publications examine digital transformation in energy procurement , resilience in the hotel industry during crises , and the impact of social capital on tourism competitiveness . Her work often bridges theoretical frameworks with practical applications in hospitality and regional tourism development. She leads postgraduate studies in Procurement Management and contributes to tourism policy analysis in the European Union. Her collaborations span institutions like the National Tourism Development Authority and researchers such as Aleksander Panasiuk and Sebastian Kopera .
Ana Luísa Raposo is an Associate Professor at the Faculty of Psychology, University of Lisbon, serving as Vice President of the Scientific Council and Executive Committee member of the Mind-Brain College of ULisboa. She also contributes to the Scientific Committee for both Master and PhD Programs in Cognitive Science. Her research centers on cognitive psychology with specific focus on long-term memory encoding/retrieval mechanisms, semantic memory organization, and semantic-episodic memory interactions. Methodologically, she employs functional magnetic resonance imaging (fMRI), EEG, and eye-tracking to investigate these processes across healthy and aging populations, with particular emphasis on memory interference phenomena and neural correlates of cognitive control. Recent publications (2021-2024) reveal consistent thematic trajectories in memory research, particularly examining how semantic knowledge influences episodic recall, neural signatures of aging-related cognitive changes, and error-driven memory correction mechanisms. Her work demonstrates strong interdisciplinary collaboration across neuroscience, linguistics, and computational modeling. She actively mentors through Cognitive Science graduate programs and leads significant research initiatives including the CICPSI-funded '50A25A' project on personal/shared memory (2024, PI), FCT project 'Can we learn from errors?' (2020-2022, PI), and 'LOSTME' visual memory study (2018-2022, Co-PI). Raposo's scholarly activities are anchored in the Mind-Brain College of ULisboa where she coordinates multidisciplinary teams integrating experimental psychology, neuroimaging, and computational approaches to advance memory research.
Rebecca Gomez is a Professor in Cognition & Neural Systems at the University of Arizona's College of Science, where she also serves as Associate Dean for Undergraduate Student Success. She directs the Child Cognition Lab, focusing on statistical language learning, semantic integration, and sleep's role in memory formation in infants and young children. Her work bridges developmental psychology, cognitive neuroscience, and clinical applications. Education: B.A. in Philosophy (1985), New Mexico State University M.A. in Experimental Psychology (1989), New Mexico State University Ph.D. in Experimental Psychology (1995), New Mexico State University Research Interests center on statistical language learning in infancy, semantic integration in toddlers, and the interplay between sleep and memory consolidation. Her studies explore how sleep affects retention of learned information across developmental stages. Publication Trends reveal a focus on developmental cognitive neuroscience, with keywords spanning sleep research, language acquisition, and memory mechanisms. Sub-fields include nonadjacent dependency learning, nap effects, dialect-specific rules, and hippocampal development. Scientific Recognition : 2013 Research Paper Award, Journal of Speech and Hearing Research Minority Postdoctoral Research Fellowship (1996) Teaching includes courses like PSY 240 (Child Development), PSY 340 (Cognitive Development), and PSY 596F (Developmental Cognitive Neuroscience), reflecting her expertise at the intersection of psychology and neuroscience.
Alessandro Polli is a confirmed researcher (Ricercatore confermato) in Economic Statistics at the Department of Social and Economic Sciences, Sapienza University of Rome. He teaches three courses: Quantitative Methods for Time Series Analysis (1st semester), Economic Statistics (2nd semester), and Statistical Methods and Models for Time Series and Panel Data (2nd semester). His office is located in room 108 of the department, with weekly office hours held every Wednesday from 2:00 PM to 5:00 PM. Polli holds a PhD in Economic Analysis, Mathematics and Statistics of Social Phenomena from Sapienza University of Rome. His academic foundation combines rigorous statistical training with social science applications, enabling interdisciplinary research at the intersection of data science and socioeconomic analysis. His primary research focuses on Economic Statistics with specialized expertise in Time Series Analysis and Text Mining methodologies. Polli applies these techniques to examine migration patterns, gender statistics, security perception, labor market dynamics, and political discourse. His work bridges quantitative methods with social science inquiry, particularly through the analysis of textual data from social media, official statistics, and political communications to derive actionable socioeconomic insights. Analysis of his recent publications reveals a consistent trajectory in developing and applying text mining techniques to social phenomena. His research demonstrates increasing sophistication in emotional text mining, temporal validity assessment of sentiment analysis, and integration of machine learning with traditional statistical models. Key thematic clusters include migration discourse in European elections, government crisis dynamics, vaccine sentiment analysis, and automation impacts on Italian labor markets, all characterized by methodological innovation in handling complex textual datasets. Professional engagements include: Consultant to the Historical Research Office of the Bank of Italy Consultant to the Presidency of the Council of Ministers - Guarantee Commission for Statistical Information Member of the Istat quality circle for territorial statistics Referee for international scientific journals including Lexicometrica and Social Indicators Research While specific student advising activities are not documented in available sources, his institutional roles indicate significant contributions to national statistical policy and quality assurance. His collaborative work with major Italian institutions demonstrates applied research impact on official statistics and policy development, particularly in migration and territorial statistics.
Michael F Armey is an Associate Professor (Research) in the Department of Psychiatry and Human Behavior at the Warren Alpert Medical School of Brown University, affiliated with Butler Hospital. He co-directs the Cognition, Emotion, and Life experiences (CEL) Lab and serves as Associate Director of the Consortium for Research Innovation in Suicide Prevention (CRISP). His work integrates ecological momentary assessment (EMA) with bio-behavioral methods, including psychophysiology, fMRI, and implicit bias paradigms, to study suicidal and non-suicidal self-injury (NSSI) mechanisms. Education: PhD (2009) and MA (2004) from Kent State University; BA (1999) from Kenyon College Armey's research focuses on ecological momentary assessment of proximal risk factors for suicide, emotion regulation, and technology-delivered interventions. He has developed mobile apps like Mobile Application to Prevent Suicide (MAPS) and employs machine learning to predict suicidal ideation. His work bridges clinical psychology with digital health innovations. Recent publications highlight collaborations with researchers like Heather Schatten and Nicole Nugent, emphasizing mobile technology in suicide prevention and EMA methodologies for affect tracking. Grants include NIH R01 awards for sleep disruption impacts on suicide risk and cannabis use studies in trauma-exposed adolescents. Teaching roles include Introduction to Clinical Psychology at Brown's Summer@Brown program and cognitive behavioral therapy courses at Connecticut College. He collaborates with faculty across departments, including Bertram Malle (Cognitive Sciences) and Ivan Miller (Psychiatry), and contributes to cross-institutional initiatives like the Military Suicide Research Consortium.
Claire Grover is a Senior Research Fellow at the Institute of Language, Cognition and Computation within the School of Informatics at the University of Edinburgh. Her research bridges computational linguistics with real-world applications in public health, urban studies, and digital humanities through advanced Natural Language Processing techniques. Her primary research interests include Natural Language Processing, Text Mining, Information Extraction, Named Entity Recognition, and Corpus Linguistics. She specializes in developing robust NLP methodologies for domain-specific challenges, particularly in clinical text analysis, historical document processing, and geospatial text mining. Her work emphasizes practical implementation and evaluation of NLP systems for reliable real-world deployment. Recent publications (2021-2025) demonstrate a clear trend toward interdisciplinary NLP applications: using topic modeling of local news to study neighborhood health effects, evaluating clinical NLP tools for stroke phenotype extraction, and scaling historical text analysis frameworks. These works consistently address methodological reliability and cross-domain adaptability of text analytics systems. No scientific awards were mentioned in the available information. Dr. Grover has secured significant research funding as Principal Investigator for projects including ‘Leveraging routinely collected and linked research data to study mental disorders’ (MRC), ‘Empowering elderly people in healthcare conversations’ (EU), and ‘Words on the Street: Digital Literary Cityscape’ (AHRC). Her collaborative network spans computer science, healthcare, and social sciences, with evidence of student supervision through ‘Supervised Work (1)’. She actively contributes to the Language, Interaction, and Robotics group and Edinburgh Neuroscience initiative, participating in interdisciplinary teams that combine computational expertise with domain knowledge. Her media-covered Trading Consequences project exemplifies her approach to transforming historical trade analysis through text mining.
John Tøndering serves as Associate Professor in the Department of Nordic Studies and Linguistics at the University of Copenhagen's Faculty of Humanities, where his research centers on acoustically grounded phonetics with specialized focus on prosody (stress, intonation, and rhythm) in Danish speech. His primary research domains include the interplay between prosodic and grammatical structure in spoken language, regional prosodic variation across Danish dialects, rhythm patterns in Danish variants, and acoustic speech analysis. Current projects investigate regional accent recognition mechanisms, aspiration time-vowel height relationships in stop consonants, and standardization of the Prosody in Use Battery (PUB) for clinical speech assessment. Analysis of his 2015-2020 publications reveals consistent methodological rigor combining electrophysiological and behavioral approaches to examine speech perception under varying attention conditions, lexical competition dynamics, and prosodic function recognition. His work bridges theoretical linguistics, cognitive neuroscience, and clinical applications, with significant contributions to regional dialect identification and speech pathology assessment tools. His scientific recognition includes: Årets Harald - Undervisningsprisen (Teaching Prize) awarded in 2011
Sharon Christ is an Associate Professor in the Department of Human Development and Family Science at Purdue University, with joint appointments in the Department of Statistics, College of Science, and courtesy appointments in the Department of Speech, Language, and Hearing Sciences. She serves as Co-Director of The Methodology Center at Purdue (MCAP) and is actively involved in research focusing on statistics, statistical modeling, adolescent development, and aging. Her work spans multiple research areas including Health and Well-Being, Interpersonal Relations, and Military Families. Dr. Christ received her PhD in Sociology from the University of North Carolina in 2008, an MS in Statistics from the same institution in 2004, an MA in Sociology in 2002, and a BA in Sociology & Political Science from the University of Minnesota in 1994. Her research primarily focuses on applications in the social, behavioral, and health sciences, with expertise in structural equation modeling (SEM) with latent variables, multilevel (mixed effects) models, longitudinal modeling, and analysis of complex sample data. She investigates measurement of social constructs, missing data, and selection problems, often using large nationally representative datasets as well as data from observation and experimental designs. A significant portion of her recent work examines child maltreatment experiences in adolescence and their impacts on well-being outcomes including academic achievement, aggressive behaviors, and mental health. Analysis of Dr. Christ's recent publications reveals a strong focus on developmental language disorders, military family research, and statistical methodology. Her work increasingly integrates retrieval practice techniques for language learning in children with developmental disorders, examines long-term trajectories of mental health outcomes in military families, and investigates the relationship between physical activity, stress, and health outcomes in diverse populations. There's a clear interdisciplinary trend across her publications, bridging statistics, psychology, speech-language pathology, and military family research. Dr. Christ has received numerous awards and honors including: University Faculty Scholar, Purdue University (2022-present) Christine M. Ladisch Faculty Leadership Award, Purdue University (2022) Faculty Leadership Academy for Interdisciplinary Research (FLAIR) Fellow, Purdue University (2020) Honorable Mention for Disruption Paper Competition, National Foundation to End Child Abuse and Neglect (2019) College of Science Team Award for Statistics Living Learning Community, Purdue University (2015) Center for Aging and the Life Course Outstanding Professor Award for Exceptional Teaching and Mentoring of Emerging Scholars in Aging, Purdue University (2014) Dr. Christ actively mentors graduate students and is accepting applications for the December 1, 2024 deadline. She has secured significant research funding, including as Co-Principal Investigator for the 'Interdisciplinary Summer Institute on the Analysis of Complex, Large-Scale Longitudinal Data' from the National Institute on Drug Abuse ($365,129, 2024-2027) and as Co-Investigator on multiple substantial grants from agencies including the U.S. Army Medical Research & Development Command, National Institute on Deafness and other Communication Disorders, and Eunice Kennedy Shriver National Institute of Child Health and Human Development. Dr. Christ is affiliated with several research centers at Purdue including the Center for Families, The Military Family Research Institute, The Methodology Center at Purdue (MCAP), and the Center on Aging and the Life Course. These affiliations support her interdisciplinary research on family dynamics, military families, statistical methodology, and aging processes.
