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Yolanda IglesiasView profile

Associate Professor

• Medieval Iberian Studies
• Social History
• Legal History
• +3 more

Yolanda Iglesias is an Associate Professor at the University of Toronto, jointly appointed in the Department of Spanish and Portuguese and the Centre for Medieval Studies. She holds a PhD from Boston University (2007) and an MA from the University of Western Ontario. Her research focuses on medieval Iberian literature, legal texts, and social history, particularly exploring themes like prostitution, matrimony, violence, and law in works such as La Celestina and Alfonso X’s Siete Partidas and Cantigas de Santa María. She has authored books and numerous articles on medieval legal discourses, literary adaptations, and historical-critical analysis of medieval texts. Notably, her work has received the John K Walsh Award (2020). She has held administrative roles including Associate Chair of Undergraduate Studies (2018–2021) and President of the Canadian Association of Hispanists (2020). Her educational background includes a B.A. in Spanish Literature and further postgraduate studies. Her research bridges legal history with literary analysis, examining how medieval texts reflect socio-legal realities and monarchic strategies. She regularly presents at international conferences and has reviewed scholarly works in her field. Her publications often emphasize interdisciplinary approaches, combining legal, historical, and literary methodologies to uncover new insights into medieval Iberian culture and governance.

• Data Science
• Data Analytics
• Informatics
• +4 more

Erik Golen is a Senior Lecturer in the School of Information at the Golisano College of Computing and Information Sciences, Rochester Institute of Technology. He holds both a BS and Ph.D. from RIT. His research focuses on data science education, information systems curriculum design, and interdisciplinary applications of data analytics. Current teaching responsibilities include courses such as Foundations of Data Science and Analytics, Principles of Data Science, and Visual Analytics. Dr. Golen's scholarly work emphasizes educational technology innovations, including web-based learning platforms for non-technical audiences and curriculum modernization to address emerging industry needs. His publications span data science pedagogy, social media analysis, disaster response informatics, and networking architecture. He actively contributes to conferences like DataEd, IEEE Frontiers in Education, and SIGITE. His research trends show strong focus on bridging technical and non-technical domains through data-driven solutions, with recent emphasis on scalable educational frameworks and real-world data application scenarios. Teaching and research synergize in exploring how advanced analytics can be effectively integrated into diverse academic and professional contexts. No scientific awards are explicitly listed in the provided materials. Advising records and lab affiliations are not detailed here. Office location is GOL-2671.

Sidney D'MelloView profile

Professor

• Artificial Intelligence in Education
• Affective Computing
• Multimodal Interaction
• +3 more

Sidney D'Mello is a Professor at the University of Colorado Boulder's Institute of Cognitive Science and Department of Computer Science. Previously, he held roles as an Associate Professor at the University of Notre Dame and a visiting scholar at the University of Pennsylvania. His research focuses on the interplay between cognition and emotion in complex tasks, developing AI systems to enhance learning and collaboration. He directs the NSF-funded Institute for Student-Agent Teaming (iSAT) and the Hybrid Human-Agent Tutoring (HAT) Platform project. Education: PhD in Computer Science (2009), University of Memphis M.S. in Mathematical Sciences (2004), University of Memphis B.S. in Electrical Engineering (2002), Christian Brothers University Research Interests: Multimodal interaction, affective computing, AI in education, collaborative learning, and human-agent teaming. His work integrates eye tracking, speech analysis, and machine learning to design intelligent systems. Recent Achievements: Recipient of the 2018 Young Investigator Award (Society for Text & Discourse) Lead PI on multiple NSF grants, including the $20M iSAT Institute Editorial roles at Discourse Processes , International Journal of Artificial Intelligence in Education , and others Grants & Projects: Includes NSF AI Institute funding, NIH studies on chronic pain, and partnerships with Saga Education for scalable math tutoring. His lab (iSAT) collaborates with ~70 researchers and students nationwide. Labs/Teams: Directs the iSAT Institute, focuses on AI-enhanced learning environments and human-agent collaboration. Active in developing tools like CPSCoach for collaborative problem-solving feedback.

Chris RoastView profile

Researcher

• Human-Computer Interaction (HCI)
• Augmented Reality
• Interaction Design
• +3 more

Dr. Chris Roast is a资深 researcher and knowledge transfer practitioner affiliated with Sheffield Hallam University. He leads the Interaction Design Team and oversees the European regional development project 'Innovation Futures,' focusing on innovation for SMEs. He co-founded the university's Games Studio 'Steel Minors.' His expertise spans HCI, augmented reality, and human factors, with over twenty years of involvement in the HCI community. He has contributed to HCI conferences, editorial roles (e.g., Interaction with Computers ), and IFIP working groups on user interface engineering. Research focuses include the psychology of programming, visualization techniques, and interaction design methodologies. Notable projects involve digital skill assessment, heritage archive object detection, and healthcare pathway digitalization. His work emphasizes practical applications of technology in education, healthcare, and SME innovation. He has secured funding from UK bodies like the Technology Strategy Board and IP Office. His grants support interdisciplinary projects addressing regional development and digital transformation. Active in academic service, he has organized conferences and contributed to editorial boards, reflecting his commitment to advancing HCI practices and standards. Labs/Teams: Interaction Design Team (leading), Steel Minors (co-founder), and involvement in C3RI (Centre for Computational Research).

• Machine Learning
• Data Mining
• Text Mining
• +3 more

Guillaume Cleuziou is a Full Professor at the Université d'Orléans, France, and a member of the Constraints and Machine Learning (CA) team at the LIFO laboratory (Laboratoire d'Informatique Fondamentale d'Orléans). His research focuses on machine learning, data mining, and text mining, particularly in unsupervised and semi-supervised learning methodologies for knowledge extraction from texts. He holds a master's degree in Mathematics (2000) and a MSC in Computer Science (2001), both from Université d'Orléans, where he also completed his PhD in Computer Science in 2004. Education: PhD in Computer Science, Université d'Orléans, 2004 MSC (DEA) in Computer Science, Université d'Orléans, 2001 Master's Degree in Mathematics, Université d'Orléans, 2000 Research Interests: His work emphasizes developing algorithms for text mining, including unsupervised learning techniques, semantic analysis, and the application of pretopological spaces for lexical taxonomy construction. He explores multimodal data analysis, crisis tweet categorization, and embeddings for programming education. His contributions span theoretical advancements and practical applications in data clustering, community detection, and educational technologies. Labs/Teams: He is affiliated with the LIFO laboratory and leads research within the CA team, collaborating on interdisciplinary projects involving natural language processing, machine learning, and computational linguistics. His work bridges theoretical computer science with real-world applications in disaster management, educational tools, and semantic web technologies.

Aoju ChenView profile

Professor

• Language Acquisition
• Prosody
• Language Processing
• +7 more

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.

• Innovation Acceptance
• Consumer Research
• Sustainable Innovations
• +6 more

Ellis van den Hende is an Assistant Professor of Innovation Acceptance and Consumer Research at the Faculty of Industrial Design Engineering, TU Delft. Previously, she held an Assistant Professor position at the Amsterdam Business School. She earned both her MSc (cum laude) and PhD (cum laude) in Industrial Design Engineering. Her research focuses on consumer adoption of innovations, sustainable product-service systems, narrative transportation, and cross-cultural consumer behavior. Education: PhD (2010): 'Really New Stories: The Effect of Early Concept Narratives on Consumer Understanding and Attitudes' MSc (cum laude): Industrial Design Engineering Research Interests: Ellis explores how narratives and storytelling influence consumer perception of radical innovations, barriers to eco-innovation adoption, and the role of digitalization in product-service systems. Her work bridges design, marketing, and consumer psychology to address sustainability challenges and improve innovation strategies. Key Contributions: Her research has been published in top journals like Journal of Consumer Research , Psychological Science , and Journal of Product Innovation Management . She has also collaborated with industry on projects exploring sustainable business models and young venture collaborations. Teaching: Ellis teaches courses on research methods, strategic design, and innovation management at undergraduate and graduate levels. She supervises master’s and PhD theses related to innovation acceptance and sustainable design. Labs/Teams: Affiliated with TU Delft's Design for Sustainability group and the Responsible Marketing research cluster.

Rey ChowView profile

Professor

• Cultural Theory
• Film Studies
• Postcolonial Studies
• +3 more

Rey Chow is the Andrew W. Mellon Distinguished Professor in the Humanities and Professor of Literature at Duke University, affiliated with Trinity College of Arts & Sciences. She holds a Ph.D. from Stanford University (1986), an M.A. from Stanford (1982), and a B.A. from the University of Hong Kong (1979). Her research focuses on cultural theory, film studies, postcolonialism, and literary criticism, with a particular emphasis on East Asia, Europe, and North America. Chow’s work interrogates intersections of modernity, postcoloniality, ethnicity, and sexuality through interdisciplinary analyses. Notable publications include Entanglements (2012), Sentimental Fabulations (2007), and The Protestant Ethnic (2002). She has taught courses on Hitchcock, Chinese cinema, and comparative theory. Her awards include membership in the American Academy of Arts & Sciences (2016), Guggenheim Fellowship (1992), and Radcliffe Institute Fellowship (2005). She has held leadership roles, including Director of Duke’s Program in Literature (2014–2020) and interim leadership in Gender, Sexuality & Feminist Studies. Key Themes: Cultural critique, media studies, Foucault, poststructuralism Recent Work: Focus on liberal democracy, sound studies, and global cultural politics

Ravi ShekharView profile

Lecturer

• Natural Language Processing
• Conversational AI
• Cross-Lingual Representation
• +3 more

Ravi Shekhar is a Lecturer (Teaching & Research) at the University of Essex’s School of Computer Science and Electronic Engineering (CSEE). Previously, he was a Post-Doctoral Researcher at Queen Mary University of London (2019–2023), working on projects like EMBEDDIA and SoDeStream. He holds a Ph.D. from the University of Trento (2015–2019), focusing on language and vision models, and an M.S. from IIIT Hyderabad. His research spans Conversational AI, Cross-Lingual NLP, and Social Media Analysis, with a focus on ethical AI and low-resource language challenges. Education Ph.D., Language, Interaction and Computation Laboratory, University of Trento (2015–2019) M.S. (Research), Computer Science, IIIT Hyderabad (2010–2013) B.Sc. (Hons) Computer Science, Delhi University (2001–2005) Research Interests : Dr. Shekhar’s work addresses challenges in NLP and multi-modal systems, including abusive language detection, cross-lingual models, and conversational AI. He emphasizes practical applications in social media moderation and ethical AI, with contributions to datasets like CoRAL and LEDA. Key Contributions : His 2024 work on ‘Power and Vulnerability in Organisational Communication’ explores language dynamics in hierarchies, while ‘Denoising Labeled Data for Comment Moderation’ advances active learning techniques. He leads grants from Innovate UK and the EU, focusing on dialogue systems for safety-critical applications. Awards Outstanding Reviewer (EMNLP 2019) Graduate Research Assistantship (University of Trento) Institute Fellowship (IIIT Hyderabad) Advising & Grants : Supervised 8 graduate students (Master’s/PhD) and secured grants totaling £1.2M, including Innovate UK projects on commodities trading AI and harm mitigation in data systems. Active in mentoring underrepresented groups and promoting collaborative research networks. Labs & Teams : Leads the NLP research group at Essex, collaborating with institutions like UvA Amsterdam and Queen Mary. Engages in open-source projects and dataset development, emphasizing reproducibility and code sharing.

• Multimodal Deep Learning
• Adaptive and Contextual AI
• Natural Language Processing
• +3 more

Dr. Ruchit Agrawal is an Assistant Professor of Computer Science and Head of Computer Science Outreach at the University of Birmingham Dubai. Previously, he held roles including Postdoctoral Research Scientist at the University of Oxford, Marie-Curie Researcher at Queen Mary University of London, and AI Researcher at FBK, Italy. His research focuses on Multimodal Deep Learning, Adaptive AI, NLP, and Clinical Machine Learning. He earned a Ph.D. from Queen Mary University of London and M.S. and B.Tech degrees from IIIT Hyderabad. Education: Ph.D. in Computer Science (Queen Mary University of London), M.S. in Computer Science (IIIT Hyderabad), B.Tech. in Computer Science (IIIT Hyderabad). Research interests include AI-driven healthcare solutions, contextualized machine learning systems, and cross-lingual NLP. His work spans healthcare informatics, music informatics, and machine translation. He has collaborated on projects like MIP-Frontiers and contributed to advancements in multimodal stuttering detection and stock price prediction models. Professional roles also include software development stints at Google Summer of Code and teaching at IIIT Hyderabad. His outreach initiatives aim to promote computer science education and accessibility.

Steven VerstocktView profile

Professor

• Multimodal Data Processing
• Video Analysis
• Computer Vision
• +2 more

Steven Verstockt is a Professor at Ghent University’s Department of Electronics and Information Systems, affiliated with the Internet Technology and Data Science Lab (IDLab) and the Multimedia Lab. His research spans multimodal data processing computer vision video analytics geospatial information technology sports data science domains. He leads interdisciplinary projects in sports, media, and cultural heritage, focusing on spatio-temporal data collection, classification, and visualization. Recent research trends highlight his work in CO2-based occupancy detection BIM semantic enrichment multi-camera sports analytics geosocial media mining historical archive digitization hyperspectral image classification published across 2025–2024. His team combines computer vision, machine learning, and geospatial tools for real-world applications.

Kostiantyn KucherView profile

Associate Professor

• Information Visualization
• Visual Analytics
• Text Mining
• +5 more

Kostiantyn Kucher is an Associate Professor/Senior Lecturer at Linköping University's Department of Science and Technology, specializing in Information Visualization and Visual Analytics. He holds a PhD from Linnaeus University (2019) and MSc/BSc from Odessa National Polytechnic University (2012/2010). His research focuses on text visualization, sentiment analysis, network visualization, and explainable AI, with applications in climate adaptation and human-AI collaboration. He co-leads the iVis group and organizes GD 2025 conference. Awards include EuroVis Early Career (2025) and multiple Best Reviewer distinctions. Research : Explores text visualization (Text Visualization Browser), stance analysis (StaViCTA), and VA+Embeddings for AI transparency. Active in EU-funded projects like AI4REALNET and InfraVis. Recent work includes climate data visualization (EuroVis 2025) and trust in industrial AI interfaces. Awards : Early Career Award (EuroVis 2025) Best Reviewer (EuroVis 2025, 2023) Best Poster (EuroVis 2018) Grants & Projects : Leads InfraVis (Swedish national visualization infrastructure) and collaborates on AI4REALNET (critical infrastructure networks) and Testbed Air Mobility (UAV systems). Labs/Teams : iVis group at Linköping, focusing on visual analytics and human-Automation teaming. Active in ELLIIT Focus Period on Visualization-Empowered AI.

• Human-Computer Interaction (HCI)
• Usability and User Experience (UX) Methodologies
• Affective Computing
• +4 more

Professor Effie Law is a full professor in the Department of Computer Science at Durham University, specializing in Human-Computer Interaction (HCI). She holds editorial board roles for journals like Interacting with Computers and International Journal of Human-Computer Studies . Prior roles include professorships at the University of Leicester and Senior Research Fellow at ETH Zurich. She earned a PhD in Psychology (with computer science minor) from LMU Munich and degrees from the University of Hong Kong. Her research focuses on UX methodologies applied to technology-enhanced learning, affective computing, and trustworthy autonomous systems. She led EU projects such as ARETE (augmented learning systems) and ESA's P-STEP (space technology education platform). She chairs/co-chairs major conferences like CHI and has published over 200 peer-reviewed works. Current research emphasizes automated emotion recognition, conversational AI, and mixed reality. Education: PhD (Psychology/Computer Science), LMU Munich; MSc/BSc (Social Sciences), University of Hong Kong Key Projects: COST Actions MAUSE/TwinTide, EU H2020 ARETE, ESA P-STEP Editorial Boards: Interacting with Computers, International Journal of Human-Computer Studies Her students include Caitlin Brown, Jinyu Liu, and others. Research outputs span AI ethics, chatbot applications in education, and pandemic impacts on child well-being in developing nations.

• Autonomous Robotics
• Computational Intelligence
• Human-machine Interaction
• +3 more

Dr. Wai-keung Fung is a Senior Lecturer in Electronics, Robotics & Control Engineering at Cardiff Metropolitan University's Cardiff School of Technologies. He holds a PhD in Mechanical and Automation Engineering from the Chinese University of Hong Kong (2001) and has held academic roles at the University of Manitoba (Canada) and Robert Gordon University (UK). He is Programme Director for the BEng/MEng in Electronics and Computer Systems Engineering and co-leads the EUREKA Robotics Centre. He is a Fellow of the Higher Education Academy (FHEA), IEEE Senior Member, and IET member. His research focuses on Autonomous Robotics , Computational Intelligence , and Human-machine Interaction , with recent work spanning gender bias in speech processing, underwater communication systems, and medical diagnostics via EEG analysis. His interdisciplinary contributions bridge robotics, machine learning, and engineering applications. Awards: Fellow of the Higher Education Academy (FHEA) since 2015 IEEE Senior Member since 2009 IET Member since 2017 Labs & Affiliations: EUREKA Robotics Centre (Cardiff School of Technologies) His research has been published in IEEE conferences and journals, addressing challenges in robotics, medical AI, and pipeline monitoring. He continues to advance applied technologies with industry and academic collaborations.

• Computational Linguistics
• Ethical Implications of Technologies
• Human-Computer Interaction
• +6 more

Shauna Concannon is an Assistant Professor in the Department of Computer Science (Digital Humanities) at Durham University. Her research focuses on the societal and ethical implications of emerging technologies, combining computational linguistics with human-centered design principles. She holds a Master's in Modernist Literature from the University of Oxford and a PhD in Computational Linguistics from Queen Mary University of London, followed by postdoctoral research at Cambridge, York, and Newcastle Universities. Her work emphasizes interdisciplinary approaches to understanding how technologies mediate human communication and knowledge systems. Shauna’s research interests include: Ethical AI Development : Addressing biases in language-based systems and promoting equitable technology design Human-Computer Interaction : Studying dialogue systems, empathy in conversational AI, and participatory design methodologies Computational Social Science : Analyzing societal impacts of technology through data-driven approaches Intersectional Data Science : Applying feminist frameworks to algorithmic fairness and data ethics Her recent projects explore: Responsible AI frameworks for storytelling in nonprofit contexts Linguistic expressions of harmful bias in textual datasets Public engagement strategies using personalized data narratives Shauna currently advises four postgraduate students and has collaborated on initiatives like the Brooke Leave Home project, which uses personalized films to enhance public understanding of open data. Her work bridges technical innovation with critical social inquiry, advocating for technology that serves diverse communities responsibly.