Hudson Smith is an Assistant Professor in the Department of Mathematical and Statistical Sciences at Clemson University, College of Science. His research focuses on integrating domain knowledge with machine learning to address data-constrained problems in healthcare, forensics, and physics. He holds a PhD in theoretical atomic physics from Ohio State University, combining first-principles approaches with data-driven methods. Key areas of research include medical imaging analysis (e.g., ultrasound quality assessment), forensic decomposition modeling (geoFOR database collaboration), and AI detection of coordinated disinformation campaigns. His work bridges theoretical physics (quantum systems, cold atoms) with applied machine learning in healthcare and social media analysis. Publications highlight contributions to AI in trauma care, forensic science, and social media disinformation detection. Active collaborations span forensic science, biomedical informatics, and quantum physics. GitHub repositories showcase contributions to visualization tools (e.g., Schrödinger equation solvers, Voronoi-based image stylization).
Prof. Dr. Biljana Babić is a full professor at the Department of Serbian Studies, Faculty of Philology, University of Banja Luka. Her research spans Serbian linguistics, Slavic philology, historical grammar, and translation studies, with a focus on the evolution of the Serbian language and its cultural contexts. Her research interests include: Historical Linguistics : Analysis of Old Serbian manuscripts, Cyrillic paleography, and morphological evolution. Sociolinguistics & Onomastics : Studies on loanwords, surnames, and language contact in the Balkans. Pedagogical Applications : Children's linguistic creativity and Serbian language education. Publications predominantly explore historical linguistics, Slavic philology, and sociolinguistics, with recurring themes in manuscript analysis, lexical semantics, and Balkan language contact. Her work often integrates cross-disciplinary approaches linking linguistics with cultural history. She leads key research projects: Serbian Language Competences in Diaspora (Int’l project, 2025). Resources of Serbian in Media Discourse (National project, 2024-2026). Past projects include studies on children's creativity and Slavic language preservation. Collaborates with interdisciplinary teams across Balkan institutions.
Trung Tran is a Senior Lecturer in French Literature and 16th-17th Century Arts at University of Toulouse-Jean Jaurès since 2020. He previously held Lecturer positions at Paul Valéry-Montpellier III University (2005-2020) and various academic roles in Paris-Sorbonne and Créteil Academy. His research focuses on French Renaissance Literature , particularly the interplay between Literature and Illustration , Emblem Books , and Theories of the 'Figure' in 16th-century texts. Accreditation to supervise research (Paris III-Sorbonne Nouvelle, 2025) Doctorate in French Language and Literature (Paris-Sorbonne, 2004) His scholarly work examines iconotextual dynamics , auctorial authority , and visual hermeneutics in Renaissance publications. Recent publications analyze Fortuna symbolism , prudentia ethics , and text-image relationships in emblematic literature. He has served on national examination committees for Agrégation and CAPES competitions in Modern and Classical Letters. Co-responsable de la licence de lettres modernes (2021-2025) Member of CNU Section 9 (2016-2019) Former director of ESPE's 2nd degree programs (2014-2018)
Irina Shport is an Associate Professor in the Department of English at Louisiana State University, affiliated with the College of Humanities & Social Sciences. She holds a Ph.D. from the University of Oregon and directs research on phonetic variation and language acquisition. Her work integrates sociolinguistics, phonology, and cognitive science approaches. Dr. Shport's research examines phonetic and phonological patterns across languages, with focus areas including: Cross-linguistic speech perception and production Sociophonetic variation in Southern U.S. dialects Factors influencing second language acquisition Socially meaningful variation in speech Her publications (2016-2024) demonstrate consistent focus on dialectal variation, particularly in Louisiana English (Cajun, African American, and Southern varieties), and cross-linguistic studies of Vietnamese, Mandarin, and Japanese. Core themes include: Vowel variation as identity markers Prosodic patterns in tone languages Cognitive aspects of phonetic learning Clear speech adaptations Shport maintains community-engaged research partnerships with schools in East Baton Rouge Parish and has received teaching awards including the Tiger Athletic Foundation Undergraduate Teaching Award (2015).
Rosti Vana is an Assistant Professor of Spanish Linguistics at Sam Houston State University (SHSU), specializing in applied linguistics with a focus on sociolinguistics and heritage language pedagogy. He earned his PhD in Spanish Linguistics from Arizona State University. His research addresses sociolinguistic hierarchies in mixed L2-HL classroom contexts, emphasizing the integration of sociolinguistic principles to combat linguistic discrimination. He has published works on language ideologies in media (e.g., Netflix’s Elite ) and historical analyses of US Southwestern Spanish dialects using archival newspaper corpora. Dr. Vana teaches undergraduate and graduate courses including Elementary/Intermediate Spanish, Spanish Linguistics, and Spanish for Criminal Justice. His recent conference presentations span topics like Afro-Latinx representation in textbooks, sociopolitical dynamics in heritage language classrooms, and mediatized code-switching. He advocates for inclusive pedagogical practices that address linguistic diversity and social justice in language education. Key research areas include: 1) language attitudes and ideologies in mixed classrooms, 2) sociolinguistic variation in US Spanish varieties, and 3) critical discourse analysis of media representations. He actively contributes to academic discourse through peer-reviewed journals and international conferences, emphasizing interdisciplinary approaches to language studies.
Satoshi Nambu is a tenured Lecturer in Japanese Studies at Monash University, affiliated with the School of Languages, Literatures, Cultures, and Linguistics within the Faculty of Arts. He joined Monash in 2017 and currently serves as Chair of the School Equity, Diversity, and Inclusion Committee and coordinator of the Japanese Studies major. He is actively involved in research, teaching, and professional service. Monash University, Faculty of Arts (2017–present) National Institute for Japanese Language and Linguistics (NINJAL), Project Member (2022–present) Tohoku University, Language Change and Variation Unit, Member (2016–present) His research focuses on the dynamics of language variation, particularly how syntactic variation contributes to diachronic change and reflects speaker identity and ideology. He employs quantitative methods such as corpus analysis, surveys, and psycholinguistic experiments. Recent projects explore linguistic landscape in Japan and character language in fiction, linking them to real-world language ideologies through the concept of enregisterment. The most recent publications (2024–2025) show a strong trend toward interdisciplinary research combining sociolinguistics, psycholinguistics, and corpus methods. Key themes include multilingualism, language in urban spaces, neural processing of Japanese syntax, and language concerns among immigrant families. The work spans empirical studies, theoretical contributions, and policy-relevant analyses. His scientific awards include the Japan Society for the Promotion of Science Research Fellowship (2015–2017) and the Japan Foundation Research Grant (2020). Research Fellowship for Young Scientists, JSPS (2015–2017) Japan Foundation Research Grant (2020) Satoshi Nambu advises PhD students and teaches courses such as Japanese sociolinguistics, research methods, and linguistic landscape. He serves on editorial boards and professional committees, including the Japanese Studies Association of Australia and the journal The Japanese Journal of Language in Society . He leads research projects on Japanese/Korean linguistics and language variation, securing external funding and fostering international collaboration. He is a member of research teams at NINJAL and Tohoku University, contributing to large-scale projects on corpus development and multilingualism. He also participates in academic networks such as the Global Council for Anthropological Linguistics and regularly serves as a peer reviewer for journals including International Journal of Multilingualism and English Today .
Dr. Kok Lim Low serves as a Senior Lecturer in the Department of Computer Science at the School of Computing, National University of Singapore (NUS), where he has established himself as a leading researcher in computer graphics and computational art. With over two decades of academic service, he bridges technical innovation with creative applications while maintaining exceptional teaching standards. His educational foundation includes: Ph.D. in Computer Science from the University of North Carolina at Chapel Hill (2006) M.Sc. in Computer Science from the National University of Singapore (1997) B.Sc. (Honours) in Computer Science from the National University of Singapore (1996) Dr. Low's research centers on computational approaches to visual media, with three interconnected pillars: Computational Art explores algorithmic generation of artistic papercraft and pop-up books; Real-Time Rendering develops GPU-accelerated global illumination techniques; and Computational Photography enhances image aesthetics through depth adaptation and recomposition. His work consistently merges mathematical rigor with artistic sensibility, producing methods that automate creative processes while preserving aesthetic integrity. Analysis of his recent publications reveals an evolving trajectory from core graphics research toward computer science education innovation. While maintaining strong output in computational art (evident in his 2014-2015 pop-up design papers), his 2021-2023 work demonstrates significant contributions to CS1 pedagogy through educational tool development and curriculum design, reflecting his dual commitment to research and teaching excellence. His scientific recognition includes: Three Faculty Teaching Excellence Awards from NUS School of Computing (2014, 2016, 2017) Best Paper Award at Computer Graphics International Conference (2015) Honorable Mention at ACM CHI Conference (2011) As an educator, Dr. Low has advised Ph.D. and Master's students while serving on numerous thesis committees. He teaches foundational courses like Programming Methodology to freshmen alongside advanced topics including Graphics Rendering Techniques, demonstrating equal commitment to novice and advanced learners. His student mentorship extends to undergraduate research projects across the computing curriculum. Dr. Low operates within NUS Computing's collaborative research ecosystem, where his interdisciplinary work connects computer science with art and design disciplines. His laboratory contributions focus on developing practical computational tools that transform creative workflows while advancing theoretical understanding of visual media processing.
Dr. Edzard Weber is a Researcher at the University of Potsdam's Faculty of Economics and Social Sciences, Department of Business Information Systems, where he serves as Research Speaker for Decision Management. He completed his doctorate in January 2015 on methodology development for system adaptability and currently leads the junior research group 'Entscheidungsmanagement' while representing the vacant 'Digital Government' professorship. His research spans multiple critical domains in business informatics including Decision Management , Process Modeling , Operations Research , Future Studies , and Digital Government . His work integrates theoretical foundations with practical applications, particularly evident in his leadership of the DiReBio project which developed formats for regional bioeconomic transformation through participatory workshops. Weber's publication record demonstrates consistent scholarly output since 2009, with recent work focusing on scheduling model standardization, circular economy processes in Industry 4.0 contexts, and haptic modeling approaches for digital transformation in bioeconomics. His research shows strong interdisciplinary connections between business informatics, systems engineering, and sustainable development. Key research projects: DiReBio (2017-2021): Discourse on bioeconomic transformation Job Scheduling (2015-2019): Systematic solution space navigation EUKRITIS II (2010-2011): Knowledge management for critical infrastructure protection Eukritis I (2008-2009): Change-capable protection structures IOSE-W2 (2006-2009): Interorganizational software development Weber maintains active collaboration with international institutions including University of California, Davis, Stellenbosch University, Tel Aviv University, University of Pretoria, and Hong Kong Polytechnic University, contributing to the global research community while addressing local and regional challenges in digital transformation.
Duygu Ceylan is a Principal Research Scientist at Adobe Research London. She holds a PhD from École Polytechnique Fédérale de Lausanne (EPFL), where she worked under Prof. Mark Pauly, and a Master’s degree in Computer Science from Bilkent University. She received her undergraduate degree in Computer Engineering from Middle East Technical University (METU). Prior to Adobe, she worked as a software engineer at Aselsan Inc. Her research focuses on bridging computer vision and graphics, particularly using machine learning for 3D content generation and analysis from images/videos. Key interests include generative models, 3D reconstruction, and interactive editing of 2D/3D assets. Notable awards include the Eurographics PhD Award (2015) and Eurographics Young Researcher Award (2020). Her work spans over 50 publications in top-tier conferences like SIGGRAPH, CVPR, and ECCV, covering topics such as neural rendering, cloth dynamics, and video generation. She leads research initiatives at Adobe, mentoring interns and driving advancements in generative AI for visual content creation. Her group’s projects include tools for video editing, 3D stylization, and dynamic human performance modeling.
Alyson Miller is a Senior Lecturer at Deakin University's School of Communication and Creative Arts. As Course Director for the Master of Arts (Writing and Literature) and Honours Coordinator, her research focuses on scandalous literature, prose poetry, and feminist literary studies. Her work explores representations of trauma and extremity across genres, including nuclear memorialisation in hibakusha poetry, antiheroines in contemporary television, and the ethics of autobiographical hoaxes. Miller examines how literary forms negotiate cultural taboos and societal boundaries. Recent publications analyze Australian Gothic prose poetry, dark poetics of anti-elegy, and subversive femininities in popular culture. She supervises postgraduate research on gender representation and literary transgression.
Iro Armeni is an Assistant Professor in the Civil and Environmental Engineering Department at Stanford University's School of Engineering. She leads the Gradient Spaces research group, focusing on the intersection of civil engineering, architecture, and machine perception to design and construct data-driven environments across physical and digital space. Her educational background is highly interdisciplinary: PhD in Civil and Environmental Engineering with Minor in Computer Science from Stanford University (2020), Postdoctoral Researcher at ETH Zurich (2023), MSc in Computer Science from Ionian University (2013), MEng in Architectural Engineering from University of Tokyo (2011), and Diploma in Architectural Engineering from National Technical University of Athens (2009). Before academia, she worked as an architect and consultant for both private and public sectors. Dr. Armeni's research focuses on developing quantitative and data-driven methods that learn from real-world visual data to generate, predict, and simulate new or renewed built environments with humans at the center. She is particularly interested in creating gradient spaces that blend 100% physical (real reality) to 100% digital (virtual reality) using Mixed Reality. Her work spans computer vision, 3D scene understanding, semantic mapping, and their applications in the built environment. Her recent publications demonstrate significant contributions across multiple venues including CVPR, ECCV, SIGGRAPH, and ISPRS Journal, with research themes centered around 3D scene understanding, appearance transfer, scene synthesis, SLAM in dynamic environments, and semantic mapping. Her work shows a consistent trajectory toward creating sustainable, inclusive, and adaptive built environments that support current and future physical and digital needs. She has received prestigious awards including the ETH Zurich Postdoctoral Fellowship, Google PhD Fellowship, and MEXT Scholarship. Her teaching includes graduate courses such as Designing for Gradient Spaces (CEE342), Computer Vision for the Built Environment (CEE247C), and AI Applications in AEC (CEE329), reflecting her interdisciplinary approach to integrating machine perception with civil engineering applications.
Michael Makin is Professor of Slavic Languages and Literatures at University of Michigan and Director of Undergraduate Studies. PhD in Modern Languages from University of Oxford (1985). Research examines 19th-21st century Russian literature and culture, specializing in poetry, literary museums, Russian cultural stylization, and provincial life. Current book projects include studies of literary tourism ('Is there a Writer in the House?') and Russian cultural identity ('As Russian as...'). Publications analyze Nikolai Klyuev's poetry, Marina Tsvetaeva's poetics, and Russian literary modernism. Awarded translation prize for Mikhail Starodub's tale at Open Eurasian Literature Festival. Open Eurasian Literature Festival Translation Prize (2017) Conducts field research in Russian provinces including Vytegra, Moscow, and St. Petersburg. Presented at international conferences on Russian literature and culture. Teaches Russian poetry and literature courses. Supervises undergraduate studies in Slavic Languages department.
Overview Pedro Hermosilla Casajus is an Assistant Professor at the Department of Computer Vision within the Faculty of Informatics at Technische Universität Wien (TU Wien). His research focuses on advanced computer vision techniques with applications in medical imaging, 3D scene understanding, and deep learning methodologies. He is actively involved in teaching multiple courses including Fundamentals of Computer Vision, Deep Learning for Visual Computing, and Scientific Research and Writing. Projects & Collaborations MyeFLOW (2020–2025) : Developing automated analysis systems for flow cytometry data. EVOCATION (2018–2022) : Real-time shape acquisition technologies. Modeling the World at Scale (2020–2026) : Large-scale 3D modeling techniques. Research Highlights His work bridges computer vision with medical diagnostics, particularly in measurable residual disease detection using flow cytometry. He explores geometric deep learning for 3D point cloud analysis and scene graph generation, advancing unsupervised semantic segmentation methods. Recent contributions include stylized Gaussian splatting for neural rendering and open-vocabulary 3D scene understanding frameworks. Teaching He teaches core courses like Fundamentals of Computer Vision and supervises student projects in medical informatics, visual computing, and human-centered computing.
Erwin Feyersinger is a postdoctoral researcher at the Institute of Media Studies, Faculty of Humanities, University of Tübingen. He is a key member of Prof. Susanne Marschall's research team (Chair of Film, Television and Audiovisual Media), co-director of the Research Center for Animation and Emerging Media, and a principal investigator at the Center for Rhetorical Science Communication Research on Artificial Intelligence (RHET AI). His work bridges media theory, animation studies, and emerging technologies. His research interests focus on audiovisual media , particularly animation , live-action film , artificial intelligence , data visualization , and science communication . He explores the philosophical and aesthetic dimensions of media, especially the ontological and narrative complexities in animated forms. His theoretical work on metalepsis has been foundational in animation studies. The most recent publications highlight a shift toward interdisciplinary AI research, particularly in text-to-image generation, computer vision in animation, and fuzzy creative processes. His work increasingly integrates technical and humanistic approaches, reflecting trends in digital humanities and AI-augmented media analysis. He also contributes to pedagogical and historical frameworks in animation. Award of Excellence from the Austrian Federal Ministry of Science and Research Roland Faelske-Preis from the University of Hamburg and the Roland Faelske Foundation Erwin Feyersinger has led and contributed to major collaborative research projects, including RHET AI and AniVision. He has advised and coordinated academic networks such as AG Animation (Gesellschaft für Medienwissenschaft). While no formal PhD students are listed, he mentors junior researchers and collaborates extensively across institutions. His work is supported by interdisciplinary grants focusing on AI, animation, and science communication. He is actively involved in the Research Center for Animation and Emerging Media and the Center for Rhetorical Science Communication Research on Artificial Intelligence (RHET AI) , where he leads research integrating rhetorical theory with AI-driven media analysis. These labs foster collaboration between computer scientists, media scholars, and communication experts.
Dr. Robert LeBlanc serves as Associate Professor of ELA/Literacy and Board of Governors Research Chair (Tier II) in Literacy Studies at the University of Lethbridge's Faculty of Education. Currently on academic leave, he maintains active research leadership while specializing in secondary English education and literature instruction methodologies. His educational foundation includes: Ph.D. in Reading/Writing/Literacy from the University of Pennsylvania (Defended with Distinction) M.A. in Education and Society from McGill University (Dean's Honour) B.Ed. in Secondary Education from the University of Saskatchewan (With Great Distinction) LeBlanc's research examines classroom discourse through interactional sociolinguistics, narrative theory, and Bourdieu's frameworks, with particular focus on digital literacies in platform societies. His work bridges traditional literary interpretation with emerging digital ecologies, analyzing how students navigate voice stylization, intertextuality, and ethical dimensions of narrative form within contemporary educational contexts. Recent publications demonstrate consistent exploration of digital platform impacts on ELA instruction, narrative pedagogy innovations, and sociocultural dynamics in literacy development. His scholarship reveals evolving emphasis on pandemic-responsive teaching, algorithmic literacy, and critical media ecologies while maintaining core commitments to qualitative ethnographic methodologies. Notable recognition includes: 2024 Alberta Teachers' Association Educational Research Award AERA Outstanding Dissertation Award (2017) University of Pennsylvania Faculty Award for Outstanding Leadership and Teaching Coyle Fellowship at Notre Dame's Center for Literacy Education As Research Chair, LeBlanc leads institutional initiatives in literacy studies while mentoring graduate researchers. His policy briefs for the National Council of Teachers of English demonstrate active engagement with educational practitioners, though specific grant funding details remain unspecified in source materials.
