Dr. Mike Stannett is a Senior Lecturer in the School of Computer Science at the University of Sheffield, where he serves as Sustainability Lead. His research bridges theoretical computer science and physics, focusing on the Logical Foundations of Relativity Theory , Unconventional Computing , and Isabelle/HOL verification of physical theorems. Key research areas: Relativity, Hypercomputation, Membrane Systems, General Topology, and Formal Verification Grants: EPSRC-funded Hypercomputation Research Network, Royal Society grant for relativity verification, RCUK project on Bitcoin risk modeling Professional memberships: London Mathematical Society, AISB, CiE, British Society for the Philosophy of Science His recent publications explore spacetime geometry, faster-than-light particles, and hypercomputation’s theoretical limits. Notable collaborations include work with Hungarian researchers (Andréka, Madarász, Németi, Székely) and the Foundations of Computation group.
Professor Susan M. Fitzmaurice serves as Vice President and Head of the Faculty of Arts and Humanities at the University of Sheffield, where she holds the position of Professor and Chair of English Language within the School of English. Previously, she was Head of the School of English (2011-2015), Professor of English and Head of Department at Northern Arizona University, and University Lecturer in English at Cambridge University. Her research centers on the history of the English language through historical pragmatics, sociolinguistics, and computational linguistics. Key interests include semantic-pragmatic change, lexical patterns in large corpora, and conceptual modeling. She leads the Linguistic DNA project (AHRC-funded) that uses high-performance computing to analyze semantic change in Early Modern English (1500-1800), and collaborates on GCRF-funded community research in South Africa addressing rural capacity-building. Recent publications reveal a strong trajectory toward digital humanities methodologies, with 7 of the 15 most recent articles focusing on computational analysis of historical texts. Her work demonstrates interdisciplinary reach across linguistics, digital humanities, gender studies, and postcolonial research, particularly through projects examining Zimbabwean English and transnational discourse. As principal investigator for major grants including AHRC AH/M00614X/1 and GCRF initiatives, she directs collaborative research involving the Universities of Glasgow, Sussex, Pretoria, and South African NGO Pala Forerunners. Her supervision focuses on doctoral projects in historical sociolinguistics, corpus linguistics, and discourse analysis. She co-edits the Topics in English Linguistics series for Mouton de Gruyter and serves on the Philological Society Council. Her leadership extends to the UK-ZA Community Research partnership, which develops community-led methodologies for social violence research in sub-Saharan Africa.
Jeroen Fokker is a Lecturer at the Faculty of Science , Utrecht University , affiliated with the Department of Information and Computing Sciences and the Software Technology group. He combines academic work with freelance software development for entomological field data processing using Klasse . His research interests focus on functional programming , compiler design , and game development , particularly in educational contexts. His recent articles (2019) emphasize game programming fundamentals, UI/UX design, and C# applications in game development, reflecting a strong pedagogical approach to teaching programming through games. He occasionally provides educational advice and web design services (2×2 days/year). His publications span functional programming tools, compiler architecture, and theoretical explorations of lambda calculus and Turing's work.
Professor Uta Papen is a faculty member at the Lancaster University within the School of Social Sciences , where she serves as Professor of Literacy Studies and Co-Director of the Literacy Research Centre . Her interdisciplinary research bridges social anthropology , education , and applied linguistics , focusing on literacy as a social and cultural practice. Research Focus: Literacy policy analysis, health literacy, critical literacy, and ethnographic studies in Global South contexts. Current Projects: Co-leads the Morecambe Bay Curriculum Storytelling and Writing Pilot Project (2025–2026) and works on a critical history of adult literacy policy (Routledge, 2026). Teaching: Convenes undergraduate modules like LING 235 and co-edits Routledge series on literacies. Methodology: Specializes in ethnographic and collaborative action research combined with critical discourse analysis and multimodal analysis . Research Trends: Recent publications emphasize literacy policy critique , deaf education innovations , and methodological advancements in literacy studies. Her work explores intersections between linguistic landscapes , healthcare communication , and critical thinking in early education. PhD Supervision: Focus areas include phonics policy implementation , healthcare literacy practices , and urban linguistic landscapes . She currently supervises Xinran Wang .
Julia Welberg is a researcher and doctoral candidate in physics education at the University of Münster’s Institute for Physics Education. She holds a Master of Education in physics and mathematics (2020) and a Bachelor of Science in the same fields (2017). Her research focuses on learners' cognitive styles (empathizing vs. systematizing thinking), digital tools in physics education, and curriculum development. She has contributed to federally funded teacher training initiatives like the WWU Quality Initiative and Creative Days program (since 2018). Employment Timeline: Doctoral Research Assistant (2020–2025) Substitute Physics Teacher (2019–2020) Current Traineeship for Grammar School Teaching (2025) Her work bridges pedagogical theory and practice, emphasizing empirical studies on student motivation, gender influences in STEM, and effective use of digital media. Recent projects include developing German-language empathy/systemizing measurement tools and analyzing factors influencing physics study choices. Publications span over 15 peer-reviewed articles since 2020, addressing topics like learning task design in e-courses, visualization techniques, and differentiated classroom strategies. She collaborates with institutions like Springer Spektrum and Waxmann Verlag on pedagogical publications.
Gema Guevara-Rincón is an Assistant Professor in the Department of Didactics of Language and Literature at the Faculty of Education, University of Murcia. She holds a PhD in French Philology (2022) and Master’s degrees in Teacher Training and Theoretical and Applied Linguistics. Her research focuses on innovative teaching methodologies in French as a Foreign Language (FLE), with an emphasis on gamification, drama, and technology integration. She actively contributes to academic projects like Erasmus+ ALTA and Franco-Spanish cooperation initiatives. Her educational background includes advanced studies in French philology and linguistics, complemented by training in Neuroeducation and Artificial Intelligence applications in education. She teaches courses on French language didactics, early childhood education, and FLE curriculum design. Her work emphasizes creative tools such as theater, video games, and social media to enhance language learning. Research interests span idiomatic phrasing, flipped classrooms, and the use of immersive tech like VR for cultural learning. She has published extensively on digital tools, song-based pedagogy, and collaborative learning strategies. Notable contributions include manuals on dramatization in FLE and analyses of video games as language-learning aids. She has supervised multiple Final Degree and Master’s projects and is a member of the Association of Francists of the Spanish University (AFUE). Current projects explore AI integration in language education and the role of neuroeducation in optimizing FLE instruction.
Professor Felicity Cox is a prominent linguist at Macquarie University's Department of Linguistics, affiliated with the Centre for Language Sciences (CLaS) and the Hearing Research Centre. She holds an ARC Future Fellowship (2018–2022) for research on multicultural Australian English and leads the AusKidTalk project, a major speech corpus initiative. Her work focuses on phonetics, sound change, and sociolinguistics, particularly in Australian English variation and language acquisition. Research Interests: Phonetic analysis of sound change Acquisition of phonological systems in children Speech production and perception in diverse populations Language variation and urban dialects Recent Research Trends: Recent studies emphasize vowel shifts, creaky voice variation, and articulatory patterns in Australian English, with a focus on sociolinguistic and acoustic correlates. Projects like Multicultural Australian English: The New Voice of Sydney explore ethnolectal influences and community diversity. Awards and Grants: ARC Future Fellowship (2018–2022) Fellow of the Australian Academy of Humanities ARC Linkage Grant for AusKidTalk (2019) Advising and Teams: Supervised 4 recent PhD students focusing on topics like glottalisation, creaky voice, and vowel articulation. Collaborates with interdisciplinary teams on speech corpus development and classroom acoustics. Labs and Facilities: Leads the Visualising Voice and Speech (VisVoiS) project, integrating experimental and clinical speech research. Active in the AusTalk and AusKidTalk corpus initiatives.
Cerstin Mahlow is a Professor of Digital Linguistics and Writing Research at the ZHAW School of Applied Linguistics , where she leads initiatives like the CAS Texten: effektiv schreiben und Generative KI effizient nutzen . Her work bridges linguistic theory with computational methods, focusing on writing process analysis, NLP-based authoring tools, and socio-cultural impacts of digital transformation in education. PhD in Computational Linguistics (University of Zurich, 2011) M.A. in Computational Linguistics, Spanish Linguistics, and Political Science (Erlangen-Nürnberg, 2008) Continuing Education in E-Learning (ETH Zurich/University of Zurich, 2003) Her research explores linguistic modeling of writing processes using digital tools, with a focus on sentence-centric analysis and AI-driven writing support. She investigates how large language models (LLMs) and generative AI reshape academic writing practices, authoring workflows, and literacy requirements. Recent publications highlight trends in writing analytics , including sentence history modeling (2025), feedback revision strategies (2023), and cognitive writing aids (2022). She co-leads projects like Computational Competencies for Non-Tech Students and Potentials of Advanced Text Technologies , emphasizing machine learning applications. Prof. Mahlow serves on the steering committees of the ACM Symposium on Document Engineering and coordinates the SIG Writing special interest group under EARLI. She actively contributes to networks like Girls Can Code Switzerland and the Association for Computational Linguistics .
Do Thi-Thu-Trang is an Associate Professor at Paris Cité University's School of Languages, Cultures, and Arts of the Orient and the World (UFR LCAO), where she has been teaching since 2018. She is a member of the ALTAE laboratory and specializes in Vietnamese linguistics with a focus on French-Vietnamese comparative studies. Her academic journey began with a lecturer position at the University of Languages and International Studies – National University of Vietnam in Hanoi from 2007-2011 before moving to her current position in Paris. Her research interests include Vietnamese linguistics, French-Vietnamese comparative linguistics, language teaching methodologies, and argumentation. She has made significant contributions to the study of concessive expressions in both French and Vietnamese, tonal assimilation in Vietnamese, and discourse markers. Her work bridges theoretical linguistics with practical language teaching applications, particularly in Vietnamese as a foreign language. Dr. Do's publications over the past decade reveal a strong focus on contrastive linguistics between French and Vietnamese, with particular attention to discourse markers, concessive expressions, and Vietnamese grammar. Her research methodology often employs corpus linguistics approaches, analyzing both spoken and written language data. Recent work has expanded into language teaching applications, particularly for Vietnamese learners. She actively supervises Master's students at multiple institutions including Paris Cité University and INALCO, with current supervisees working on topics ranging from Vietnamese tones to digital technology in Vietnamese language education. Her teaching portfolio is extensive, covering Vietnamese language instruction at all levels from introductory courses to advanced research methodology seminars. Dr. Do also participates in academic organization, having co-organized events such as the 2024 Study Day on Teaching and Design of Vietnamese Textbooks and the 2019 International Conference on The Vietnamese Language: history, linguistics, literature. Her collaborative work with Dao Huy Linh on Vietnamese linguistics and language teaching materials demonstrates her commitment to building academic partnerships.
Martin Klotz is a Researcher at the Institute for German Language and Linguistics, Humboldt University of Berlin, affiliated with the Collaborative Research Center (SFB1412) and the Research Unit for Emerging Grammars (RUEG). His work focuses on corpus linguistics, computational linguistics, and digital humanities infrastructure. He holds an MSc in Cognitive Systems (2019, University of Potsdam) and a BA in German Linguistics & Computer Science (2015, Humboldt University). Key research interests include corpus architectures, historical and parallel corpora, language modeling for non-standard varieties, and research software engineering. He contributes to projects like the RUEG corpus and FALKO learner corpus, emphasizing multilingual and multimodal corpus development. His publications span corpus design, software tools (e.g., Annatto), and analyses of heritage languages. He actively organizes academic events, such as the 2021 DGfS short working group on contrastive corpus methodology. He participates in lab collaborations like Deutsch Diachron Digital and contributes to open-source corpus tools. His work bridges computational methods with linguistic theory, focusing on dynamic language systems.
Christina Stoiber is a Researcher at the Institute of Creative Media/Technologies at the University of Applied Sciences St. Pölten, Austria. She leads the Media Computing Research Group, focusing on visualization onboarding, data journalism, and educational applications of visual analytics. Her work bridges academic research with practical tools for improving user understanding of complex visual representations. Education PhD in Computer Science (2023), TU Wien: 'Visualization Onboarding: Supporting Users in Understanding Unfamiliar Visual Representations' Master's in Digital Media Technologies (Media Computing), FH St. Pölten (2015) Bachelor's in Media Technology (Interactive Media), FH St. Pölten (2013) Research Interests Dr. Stoiber's research emphasizes visualization onboarding for non-experts, educational tools for visualization literacy, and applications in data-driven journalism and industrial analytics. She designs interactive systems to support user comprehension of complex visualizations through guided approaches like onboarding, educational games, and comic-based explanations. Her work integrates theories from education and HCI to create practical solutions for real-world challenges. Grants & Projects Josef Ressel Center Industrial Data Lab (Knowledge-Assisted Visual Analytics) Vis4Schools: Visualization Literacy in Education Comixplain: Data Comics for Higher Education SEVA: Self-Explanatory Visual Analytics for Data Discovery Labs & Teams She collaborates with the Media Computing Research Group and industry partners in Austria, focusing on projects like the JR-Centre for Industrial Manufacturing Analytics and the VizGames workshop series. Her team develops tools such as netflower (for journalists) and VisAhoi (automated onboarding systems).
Åsta Haukås is a Professor at the Department of Foreign Languages, University of Bergen. Her research focuses on multilingualism in educational contexts, teacher psychology, and pedagogical strategies for language education. She leads the 'Multilingualism on my mind' research group and actively publishes on topics including teacher collaboration, multilingual identity, and ethical research methodologies. Her work emphasizes the practical application of multilingualism in schools, exploring how linguistic diversity can be leveraged as a resource. Key themes include the role of parental language environments in shaping student identities, the psychological mindset of educators, and innovative curriculum design across Nordic countries. She has pioneered methodologies for visualizing student language practices and advancing ethical standards in qualitative research. Recent publications (2024–2025) highlight explorations of sustainable teacher collaboration, motivational frameworks for long-term educator engagement, and the intersection of multilingualism with intercultural competence. While no specific awards are listed, her contributions to multilingual pedagogy have significant academic impact. Dr. Haukås collaborates internationally, with notable work comparing language teaching approaches in Denmark, Norway, and Sweden. Her research bridges theory and practice, often involving empirical studies with pre-service and experienced teachers to inform instructional strategies.
Wei Tang is an Assistant Professor at the Department of Computer Science , University of Illinois Chicago , focusing on computer vision and machine learning with emphasis on visual compositionality and data-efficient approaches. PhD from Northwestern University (2019) Research Interests : Computer Vision Machine Learning Visual Compositionality Data-Efficient Vision 3D Reconstruction Human Pose Estimation Recent Publication Trends : Pioneering part-whole structure modeling for 3D objects (CVPR'25, ECCV'24) Advancing visual dependency modeling in semantic segmentation (CVPR'21, PR'22) Innovating graph networks for pose estimation (ICCV'21, BMVC'20) Developing compositional networks integrating stochastic grammars (ECCV'18, ICCV'17) Academic Service : Associate Editor for Pattern Recognition (2024-present) Area Chair for ICCV'25 , BMVC'25 , ICME'25 , etc. NSF Panelist (2023-2024) Teaching : CS 515 Advanced Computer Vision (Spring 2025) CS 415 Computer Vision I (Fall 2024) CS 412 Introduction to Machine Learning (Spring 2024)
François Jacquenet is a Professor of Computer Science at the University of Saint-Etienne, where he is a member of the Machine Learning Team at the Hubert-Curien Laboratory. His research focuses on machine learning and data mining applications for natural language processing, with significant contributions to privacy-preserving systems including Hippocratic Multi-Agent Systems and Automata-Based Sequence Mining. His research interests span Machine Learning , Data Mining , Natural Language Processing , and Privacy-Preserving Systems . Jacquenet has led multiple research projects including the PASCAL II Network of Excellence (2008-2012), the Bingo2 project (2008-2010), and the Web Intelligence project (2006-2008), where he focused on ethical web design and privacy protection techniques. His work bridges theoretical foundations with practical applications in areas like fraud detection, meeting summarization, and video tag correction. Analysis of his recent publications reveals a consistent research trajectory in deep learning applications , privacy-preserving techniques , and cross-modal learning . His work shows a progression from foundational research in grammatical inference and automata theory to contemporary applications in neural networks and self-organizing systems. The publications demonstrate strong interdisciplinary connections between computer science, physics, and security applications. Best AI Paper Award at Conference (2006) Professor Jacquenet has supervised numerous PhD students including Maria Galvan, Hoang-Tung Tran, Ludivine Crépin, and Stéphanie Jacquemont. His research has been supported by significant grants including the French Research Agency (ANR), the Rhône-Alpes region, and international networks like PASCAL. He has organized multiple conferences including Privacy on the Web at the ACM Symposium on Applied Computing and the PASCAL Workshop on Teaching Machine Learning. He is actively involved with the Machine Learning Team at Hubert-Curien Laboratory , contributing to the PASCAL Network of Excellence and the REWERSE Network. His research group focuses on developing practical applications of machine learning while addressing fundamental theoretical questions in pattern mining and language learning.
Rozina Vavetsi serves as Associate Professor and Chair of the Department of Digital Art and Design within the College of Arts and Sciences at New York Institute of Technology (NYIT). An internationally exhibited graphic designer, her work has appeared in London, Milan, New York, Las Vegas, and Athens, earning recognition from Graphic Design USA, Good 50x70, and Adobe competitions while being featured in Creative Quarterly and other prominent design publications. Her educational background includes: Bachelor in Education, University of Athens, Greece Master of Science in Communications Design, Pratt Institute, New York Vavetsi's research fundamentally challenges conventional boundaries of graphic design practice. She pioneers experimental applications extending design beyond traditional 2D formats into kinetic, physical, and interactive dimensions. Her work demonstrates how design principles can transform complex information into accessible visual narratives while maintaining aesthetic integrity. Key research domains include: Information Design : Creating intuitive visual systems for data comprehension Experimental Typography : Pushing type boundaries through motion and physical media Digital Fabrication : Integrating laser cutting and 3D printing with design practice Interactive Design : Developing game interfaces and user experiences Exhibition Design : Crafting visual identities for art installations Social Impact Design : Pro bono work for organizations like the American Cancer Society Her scholarly output reveals a consistent trajectory toward making design more functional, understandable, and socially relevant. Presentations and workshops consistently address practical applications of design theory in educational and community contexts, with increasing emphasis on technology integration and social impact. Her design excellence has been recognized through: Multiple Graphic Design USA InHouse Design Awards (2014-2018) for event materials and posters Good 50x70 Whale Hunting Contest Winner (2008) for 'Brutal Appetite' Adobe HOW Commemorative Contest Winner (2006) for 'Possibilities' Publications in Creative Quarterly and AIGA Vavetsi actively mentors students through undergraduate and graduate thesis supervision while leading curriculum development initiatives. Her collaborative projects span international workshops in France and Morocco, partnerships with local high schools, and multi-year pro bono design work for the American Cancer Society. She maintains professional engagement through the Type Directors Club and AIGA. As Department Chair, she directs the Digital Art and Design program while maintaining her personal design studio for client and experimental projects, bridging academic theory with professional practice.
