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Roles & Affiliations: Dagmar Gromann is an Associate Professor for Terminology Science and Translation Technology at the University of Vienna's Centre for Translation Studies. Previously, she served as a Research Associate at TU Dresden's International Center for Computational Logic (ICCL) and held postdoctoral roles in Barcelona within the ESSENCE Marie Curie Training Network. She completed her PhD at the University of Vienna under Prof. Gerhard Budin, focusing on ontology-terminology integration. Education: PhD in Computer Science and Linguistics, University of Vienna (2015) Postdoctoral Research, Artificial Intelligence Research Institute (IIIA), Barcelona (2015–2017) Research Assistant, Vienna University of Economics and Business (until 2015) Research Interests: Her work bridges computational linguistics, cognitive science, and terminology science. Key areas include: Ontology learning and neurosymbolic AI Image schemas in natural language processing Machine translation ethics and genderfair language Multilingual knowledge extraction and linked data Terminology modeling and semantic web applications Publications & Awards: Over 60 peer-reviewed papers in journals such as Future Generation Computer Systems and Journal of Lexicography . Notable awards include the Best Paper Award at MuC 2021 (GenderFairMT team) and the ISWC 2019 Best PC Award. Her research has pioneered methods for extracting embodied cognition concepts like image schemas from text. Grants & Leadership: PI of the European Language Grid (ELG) pilot project Text2TCS, member of the COST Action NexusLinguarum, and organizer of conferences like LDK 2023. Editorial board roles include the Semantic Web Journal and Applied Ontology . Labs & Teams: Former member of TU Dresden's ICCL and currently part of the University of Vienna’s translation technology initiatives. Active in interdisciplinary collaborations spanning computational linguistics, AI ethics, and multilingual systems.

• Artificial Intelligence
• Natural Language Processing
• Machine Learning
• +7 more

Pascal Hitzler is a University Distinguished Professor and holds the endowed Lloyd T. Smith Creativity in Engineering Chair at Kansas State University's Department of Computer Science, Carl R. Ice College of Engineering. He directs the Center for Artificial Intelligence and Data Science (CAIDS) and the Institute for Digital Agriculture and Advanced Analytics (ID3A). Previously, he held roles at Wright State University, Karlsruhe Institute of Technology, and TU Dresden. His research focuses on neuro-symbolic AI, semantic web technologies, knowledge graphs, and ontology engineering. Education: PhD in Mathematics (2001, University College Cork), Diplom in Mathematics (1998, University of Tübingen). Academic achievements include over 400 publications, founding editor roles for journals like Neurosymbolic Artificial Intelligence , and leadership in organizations like the Neural-Symbolic Learning and Reasoning Association. Research interests include AI explainability, knowledge representation, and interdisciplinary applications of semantic technologies. He leads the DaSe Lab for Data Semantics, advancing projects like the KnowWhereGraph and Enslaved.org Hub Knowledge Graph. His work bridges symbolic AI with neural networks, emphasizing practical applications in agriculture, environmental science, and historical data preservation. Grants and collaborations span academic, industrial, and international partners. He has advised numerous students and researchers, contributing to both theoretical advancements and real-world semantic systems deployments.

• Neurosymbolic Artificial Intelligence
• Semantic Web
• Knowledge Graphs
• +7 more

Dr. Hung Cao is an Assistant Professor of Computer Science at the University of New Brunswick, where he directs the Analytics Everywhere Lab. His work focuses on interdisciplinary research in Cyber-Physical Systems (CPS), IoT, Edge/Fog/Cloud Computing, and Explainable AI, addressing societal challenges through data-driven solutions. Prior roles include PostDoc Fellow and Data Scientist at the People in Motion Lab, UNB, and Lecturer/Researcher at Vietnam National University. He holds a Ph.D. in Geomatics Engineering (specializing in Data Science) from UNB (2020), an M.Sc. in Computer Science from University College Dublin (2015), and a B.Eng. from Vietnam National University (2011). Research interests span Smart Cities, Embedded AI, TinyML, Federated Learning, and Real-time Systems. He has led projects with Cisco, NB Power, and other industry partners to develop scalable analytics frameworks for IoT applications. Dr. Cao actively contributes to technical communities (IEEE Smart City, Edge Computing, etc.), serving as a reviewer for journals and conferences, and a Topic Editor for Electronics Journal . His innovations include the Analytics Everywhere framework for spatio-temporal data analysis, MACeIP platform for smart cities, and energy-efficient IoT systems for environmental monitoring. Current work emphasizes human-centered AI for healthcare diagnostics and industrial inspection systems.

• Smart Cities
• Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• +10 more

Dr. Frances Yung is a Postdoctoral Researcher at Saarland University's Department of Language Science and Technology within the Department of Computer Science. She has been affiliated with Prof. Vera Demberg's research group since April 2017 and is currently working on the DFG-funded SFB-1102 project "Information Density and Linguistic Encoding," specifically on project B2 "Cognitive modelling of information density for discourse relations." She is pursuing her habilitation, indicating career progression toward a higher academic position in the German university system. Dr. Yung's research focuses on discourse relations at the intersection of NLP, corpus linguistics, and experimental psycholinguistics. Her work explores how information density affects discourse relation marking through cognitive modeling approaches. She has developed expertise in discourse parsing, resource construction, annotation aggregation, and experimental pragmatics, with particular attention to multilingual aspects of discourse phenomena. Her research combines computational modeling with experimental methods to understand how speakers produce and comprehend discourse relations. Analysis of Dr. Yung's recent publications reveals a strong focus on discourse relation resources, particularly multilingual corpora like DiscoGeM 2.0 covering English, German, French, and Czech. Her work increasingly incorporates crowdsourcing methodologies and examines how large language models can be leveraged for discourse annotation tasks. She has made significant contributions to understanding the challenges of implicit discourse relation annotation and the biases introduced by different task designs in crowdsourcing environments. Active reviewer for major computational linguistics conferences (ACL, EMNLP, NAACL, EACL, COLING, IJCNLP) and workshops since 2016 Served as area chair for Sigdial 2024 Regular service on program committees for discourse-related workshops Dr. Yung has supervised multiple Master's theses on topics related to discourse relations, implicit relation identification, and domain adaptation. Her teaching portfolio includes courses on crowdsourcing linguistic annotations, discourse relations from cognitive and NLP perspectives, and recent advances in discourse processing. She has also served as a teaching assistant for data science and AI courses, demonstrating her commitment to interdisciplinary education at the intersection of computer science and linguistics.

• Discourse Relations
• Computational Linguistics
• Natural Language Processing
• +4 more

Matthew L. Jensen is the W.P. Wood Presidential Professor of Management Information Systems at the University of Oklahoma's Price College of Business, where he also co-directs the Center for Applied Social Research. He holds a Ph.D. from the University of Arizona (2007). His research focuses on decision-making processes in mediated environments, with emphasis on online credibility assessment, cybersecurity training efficacy, and deception detection. He has secured over $9.7M in grants from NSF, Air Force Office of Scientific Research, and other agencies. Education: Ph.D., Management Information Systems, University of Arizona, 2007 Research explores how individuals evaluate information credibility in AI-driven interactions, phishing susceptibility mitigation through gamified training, and ideological messaging on extremist websites. His work appears in top journals like MIS Quarterly and Information Systems Research. Recent projects include developing AI tools for duplicate comment detection in regulatory processes and analyzing phishing vulnerability across industries. Key achievements include a $9.7M grant portfolio and leadership in interdisciplinary teams investigating digital deception and cybersecurity collective action. His training games have advanced bias mitigation strategies in both organizational and educational contexts.

• Computer-Aided Decision-Making
• Human-Computer Interaction
• Knowledge Management
• +6 more

Miryam de Lhoneux is an Assistant Professor at the Department of Computer Science , Faculty of Engineering Science , KU Leuven . She is affiliated with interdisciplinary institutes including Leuven.AI and LILI (KU Leuven Interdisciplinary Language Institute). Active in Multilingual Natural Language Processing and Fair AI research Member of the Faculty of Engineering Science Council and Computer Science Department Council Her research focuses on neuro-symbolic methods , language adaptation , and typological diversity in NLP. Recent projects include: Neuro-Symbolic Methods for Fair Multilingual NLP (2023-2027), Graph-Based Instance Selection for Multi-Modal Data (2024-2028), and Unit of Representation in Multilingual Modeling (2025-2028). Her publications span topics including code-mixed data analysis , English bias in LLMs , and sociolinguistically informed interpretability . She teaches courses in Advanced Natural Language Processing and Language Engineering Applications .

• Natural Language Processing
• Multilingual Language Modeling
• Neuro-Symbolic AI
• +4 more

Ralph Hertwig is the Director of the Research Department of Adaptive Rationality and Deputy Managing Director of the Max Planck Institute for Human Development in Berlin. He holds honorary professorships at both the Free University of Berlin (since 2016) and Humboldt University of Berlin (since 2013). His research focuses on models of limited and ecological rationality, experience-based decisions, psychology of risk, development of decision-making processes across the lifespan, and evidence-based interventions to increase decision-making and self-control skills (boosting). Hertwig's work bridges cognitive science, psychology, and practical applications for improving decision-making in complex environments. Hertwig's recent publications reveal a strong focus on behavioral interventions against misinformation, risk perception across the lifespan, cross-species comparisons of decision-making, and the development of boosting techniques as alternatives to traditional nudging approaches. His work increasingly addresses digital challenges, misinformation, and democratic discourse in the attention economy. Selected honors: Gottfried Wilhelm Leibniz Prize (2017) Charlotte and Karl Bühler Prize (2006) Fellow, Association for Psychological Science (2011) Member, German National Academy of Sciences Leopoldina Hertwig actively contributes to multiple academic initiatives including the International Max Planck Research School on the Life Course (LIFE), the Max Planck School of Cognition, and the International Max Planck Research School for Computational Methods in Psychiatry and Aging Research (COMP2PSYCH). His keynote speeches worldwide demonstrate the broad impact of his research on decision-making science.

• Decision Psychology
• Cognitive Science
• Rationality Models
• +5 more

FIORENZA MILETO is a tenured Lecturer at the Università degli Studi Niccolò Cusano (UNINT) since 2004, teaching specialized English translation, computer-assisted translation, and machine translation. She concurrently serves as a tenured teacher of English language and literature at the Liceo Scientifico 'Aristotele' in Rome since 2013. Since March 2020, she has been pursuing a PhD in machine translation at Dublin City University. Her professional career includes roles as a freelance translator for ITP Italia (SDL), Berlitz, and UNICEF, followed by editorial work on the Oxford-Paravia dictionary in Turin. She transitioned into project management and technical training at STAR in Alessandria, Keywords Italia, and SDL Italia, specializing in CAT tools (SDL Trados Studio) and machine translation systems. She was an authorized SDL Trados trainer for Italy (2009–2011) and a Network Office Machine Translation Champion. Her research focuses on computational linguistics tools, translation technology optimization, terminology systems, and quality assurance protocols. She has extensive experience in localization workflows and post-editing strategies for MT systems.

• CAT Tools
• Machine Translation (MT)
• Neural Machine Translation (NMT)
• +5 more

Katherine Twomey is a Lecturer in Language & Communicative Development at the University of Manchester's Division of Psychology, Communication and Human Neuroscience. She holds a PhD from the University of Sussex (2013) focusing on early word learning processes. Her research uses computational and empirical methods to study how infants and toddlers learn language, particularly the influence of environmental stimuli and curiosity-driven exploration. She is affiliated with the Autism@Manchester initiative and the Centre for Robotics and Artificial Intelligence (RAI), contributing to interdisciplinary projects. Key research areas include curiosity mechanisms in early learning, the role of perceived emotions in word acquisition, and telehealth interventions for aphasia. She has received awards such as the Future Research Leaders Fellowship (2016) and has published over 50 peer-reviewed works. Twomey’s work addresses UN Sustainable Development Goal 4 (Quality Education) and 3 (Good Health and Well-being), with projects like the TALES program targeting post-stroke literacy recovery. She actively collaborates with NHS trusts and participates in autism-focused summits, demonstrating commitment to translational research and societal impact. Her research methodologies span experimental psychology, neurocomputational modeling, and longitudinal studies, with datasets archived at the UK Data Service. Twomey is also engaged in public outreach, contributing to media discussions on child language development and autism advocacy.

• Language Development
• Cognitive Development
• Infant and Toddler Learning
• +3 more

Roles: Prof Peter Bell holds a personal chair in speech technology at the University of Edinburgh's School of Informatics and is a core member of the Centre for Speech Technology Research (CSTR). His primary research focus is automatic speech recognition (ASR), particularly in cross-domain adaptation, lightly supervised training, and minority language systems. He teaches the Automatic Speech Recognition course and advises multiple PhD students. Research Interests: Prof Bell's work spans ASR system development for diverse domains, audio-visual integration, end-to-end models, and under-resourced languages. His projects include the CoG-MHEAR healthcare initiative and the Unmute project addressing language marginalization. He has pioneered techniques for speaker adaptation, raw-waveform modeling, and multi-task learning. Commercial Activities: He advises industry on speech tech adoption, co-founded Quorate Technology (acquired by LSEG), and provides consultancy to firms developing speech solutions. His work bridges academic research with commercial impact through projects like the BBC's MGB Challenge and EU-funded SUMMA platform. Grants & Projects: Leads EPSRC-funded CoG-MHEAR and Unmute initiatives, collaborates on IARPA MATERIAL for low-resource ASR, and contributed to the SpeechWave waveform-based ASR project. His research has been supported by Bloomberg, Ericsson, Samsung, and Toshiba. Labs & Teams: Active in CSTR, leading teams in speech representation learning, adaptation techniques, and multi-modal ASR. His lab supports interdisciplinary work with NLP, HCI, and biomedical engineering groups. Personal: A passionate hillwalker, he explores Scottish Highlands and Corbetts. Previously active in Edinburgh University Hillwalking Club, his outdoor pursuits reflect his disciplined approach to research exploration.

• Automatic Speech Recognition (ASR)
• Cross-domain and Cross-lingual Adaptation
• Speech Representation Learning
• +4 more

Faramarz Amiri is a Senior Lecturer in Digital Media at the University of Wolverhampton's Faculty of Arts, Business and Social Sciences. He serves as Course Leader for BA(Hons) Computer Games Design and has been affiliated with the institution since 1997. His expertise spans multiple domains, including Higher Education Pedagogy, Serious Games Design, Educational Technology, TESOL, and Art & Design Pedagogy. PhD in Education (University of Manchester) MSc in Computer Science (University of Exeter) MPhil in Social and Political Theory (University of Cambridge) PG Diploma in TEFL (Brighton Polytechnic) BA in Linguistics with Cognitive Sciences (University of Sussex) His research focuses on the intersection of educational technology, art pedagogy, and socio-political dimensions of game design. His publications analyze programming in art education, multimedia authoring for language teachers, and the integration of digital tools in curricula across disciplines. Awards include Fellowship in the Higher Education Academy. Programming in interactive media curriculum design Teacher empowerment through digital authoring CALL material development standards Role of educators in software lifecycle Grammar teaching via multimedia IT training for educators Dr. Amiri's work bridges technical and pedagogical domains, with a particular emphasis on democratizing digital creation in educational contexts. He currently leads the Computer Games Design program while maintaining active research into technology's role in art and language education.

• Higher Education Pedagogy
• Serious Games Design
• Educational Technology
• +3 more

Mahzarin Banaji is the Richard Clarke Cabot Professor of Social Ethics in the Department of Psychology at Harvard University. She previously served as the Carol K. Pforzheimer Professor at the Radcliffe Institute for Advanced Study (2002-2008) and as the George A. and Helen Dunham Cowan Chair in Human Dynamics at the Santa Fe Institute (2011-2015). Currently, she also serves as Senior Advisor to the Provost at Harvard University. Banaji is widely recognized as a leading researcher in social psychology, particularly in the field of implicit bias and social cognition. Banaji received her PhD from Ohio State University in 1986 and completed a National Institutes of Health postdoctoral fellowship at the University of Washington in Seattle. She taught at Yale University from 1986 to 2001, where she was the Reuben Post Halleck Professor of Psychology, before joining Harvard University. Professor Banaji's research focuses on the subconscious nature of assessments of self and others in social contexts. She is best known for her pioneering work on implicit bias, particularly through the development of the Implicit Association Test (IAT), which measures unconscious attitudes and beliefs. Her work bridges cognitive science and psychology to understand how implicit biases form, persist, and can potentially be changed. Banaji has demonstrated how these unconscious biases can influence behavior in critical domains including healthcare, education, and law enforcement, often without individuals' awareness. She has also extensively studied how biases change over time, showing that while some implicit biases have decreased significantly (particularly regarding sexual orientation), others remain stubbornly persistent. Banaji has received numerous prestigious awards recognizing her contributions to psychology and social science, including: Election to the National Academy of Sciences (2018) Election as Fellow of the British Academy (2015) William James Fellow Award for lifetime intellectual contributions to psychology Gordon Allport Prize for Intergroup Relations Kurt Lewin Award for outstanding contributions to the integration of psychological research and social action Morton Deutsch Award for Social Justice James McKeen Cattell Award Carol and Ed Diener Award for Outstanding Contributions to Social Psychology Herbert A. Simon Fellow of the American Academy of Political and Social Science Fellow of the American Academy of Arts and Sciences Banaji has advised numerous graduate students and postdoctoral researchers who have gone on to become leaders in social psychology and related fields. She has secured significant research funding to support her work on implicit bias, including grants from the National Science Foundation and the National Institutes of Health. Her research has influenced policy discussions around diversity, equity, and inclusion in educational and organizational settings. Banaji has also been active in translating her research for public understanding through her co-authored book "Blindspot: Hidden Biases of Good People" (2013) with Anthony Greenwald, and through her media series "Outsmarting Human Minds." Professor Banaji leads a vibrant research laboratory focused on implicit social cognition. Her team employs a range of methodologies including behavioral experiments, neuroimaging, computational modeling, and large-scale data analysis to investigate the nature and consequences of implicit bias. Recent work has expanded to examine bias in artificial intelligence systems and how large language models reflect and potentially amplify societal biases. The lab collaborates with researchers across disciplines including computer science, neuroscience, education, and public policy to address the complex challenges of implicit bias in society.

• Social Psychology
• Cognitive Science
• Implicit Bias
• +4 more

David Bourget is an Associate Professor in the Department of Philosophy at Western University and serves as the Director of the Centre for Digital Philosophy . He holds a PhD from the Australian National University (2010) and a BSc in Computer Science from L'Université Laval (2002). His research focuses on consciousness, intentionality, and digital philosophy , with a special emphasis on the intersection of AI and philosophical inquiry through projects like PhilPapers.org. Education: PhD, Australian National University (2010) BSc, L'Université Laval (2002) Key Research Areas: Philosophy of Mind Philosophy of Language Digital Philosophy Infrastructure Metaphilosophy His recent publications explore topics such as phenomenal intentionality, representationalism, and debunking theories . The Centre for Digital Philosophy , which he leads, maintains major resources like PhilPapers, PhilPeople, and PhilEvents, supported by CFI and ORF grants . He actively collaborates with philosophers like Angela Mendelovici on intentionality and representational theories.

• Philosophy of Mind
• Philosophy of Language
• Metaphilosophy
• +3 more

Dr Marieke Meelen is an Associate Professor in Historical Linguistics at the University of Cambridge, affiliated with the Faculty of Modern and Medieval Languages and Linguistics. She serves as a Fellow, Tutor, and Director of Studies at Trinity Hall. Research Interests: Historical Linguistics, Comparative Syntax, Information Structure, Grammaticalisation & Pragmaticalisation, NLP for low-resource languages, Celtic & Tibeto-Burman languages Projects: PI for ELDP-funded endangered language documentation in Nepal; collaborator on ERC-funded 'PaganTibet' and AHRC-funded 'Emergence of Egophoricity' Key Contributions: Development of ASR and HTR models for Tibeto-Burman languages; historical treebank of Welsh; computational approaches to Celtic and Tibeto-Burman syntax Publications & Grants focus on syntactic reconstruction, corpus creation, and NLP for endangered languages. She mentors PhD students working on Celtic or Tibeto-Burman languages and consults for computational linguistics projects.

• Historical Linguistics
• Comparative Syntax
• Information Structure
• +5 more

Diane M Beck is Professor and Head of Psychology at the University of Illinois, with additional affiliations in the Neuroscience Program and Beckman Institute for Advanced Science and Technology. She earned her Ph.D. from the University of California, Berkeley. Her research investigates cognitive processes and neural mechanisms underlying visual perception and attention. Key interests include: Factors determining visual awareness and object representation Neural constraints on simultaneous item processing Attention modulation in visual cortex Efficient processing of natural scenes Roles of statistical regularities in perception Methodologies include fMRI, behavioral experiments, and transcranial magnetic stimulation (TMS). Research publications demonstrate strong emphasis on visual cognition (58%), attention mechanisms (25%), and neural encoding of statistical regularities (17%), with neuroimaging being the primary methodology (72% of recent works). Directs the Attention and Perception Lab, advising 4 current graduate students and 18+ alumni. Major collaborators include Fei-Fei Li (Stanford), Kara Federmeier (Illinois), and Gabriele Gratton (Illinois).

• Cognitive Neuroscience
• Attention
• Visual Perception
• +3 more