Michael S. Brown is a Professor and Canada Research Chair at York University's Department of Electrical Engineering and Computer Science (EECS). He also serves as Senior Director at the Samsung AI Center in Toronto, Canada. His research focuses on computer vision, image processing, and computer graphics, with a deep specialization in camera imaging pipelines, color theory, and AI-driven ISP optimization. He has organized major conferences like ProCams, eHeritage, WACV, and ICCV, and holds editorial roles in journals like TPAMI and IJCV. He is renowned for his work on computational color constancy, ISP hardware algorithms, and AI-based image enhancement techniques. His recent ICCV 2023 tutorial detailed modern camera pipelines and AI applications in ISP components. His research is supported by grants from NSERC, Samsung, Adobe, Google, and Microsoft. Brown advises numerous graduate students and has mentored over 30 alumni now in academia and industry roles at Meta, Samsung, Microsoft, and startups. His lab focuses on camera systems, noise modeling, and cross-platform color management, with contributions to open-source datasets and software platforms for ISP experimentation.
John DeNero is the Giancarlo Teaching Fellow and Associate Teaching Professor in UC Berkeley's Electrical Engineering and Computer Sciences (EECS) department. He joined UC Berkeley in 2014 to focus on undergraduate education in computer science and data science. He teaches and co-develops introductory courses like CS 61A (Computer Science) and Data 8 (Data Science), which serve thousands of students annually. His research spans natural language processing and education innovation, with notable contributions to textbooks like Composing Programs and Computational and Inferential Thinking . Education: Ph.D. in Electrical Engineering and Computer Science, UC Berkeley (2010) M.A. in Philosophy, Stanford University (2002) B.S. in Mathematical & Computational Science and Symbolic Systems, Stanford University (2001) Research interests focus on advancing AI education and curriculum design. His work emphasizes scalability, equity, and student success in large courses. Notable contributions include the Pac-Man projects for AI education and the Berkeley Data Science Education Program. Recent trends in publications highlight AI-assisted education tools, machine translation improvements, and large-scale student feedback systems. Awards include the UC Berkeley Distinguished Teaching Award (2018) and multiple accolades for teaching excellence. Advising and grants: While currently not taking new students, his team supports massive course infrastructures. Labs include the Berkeley Artificial Intelligence Research (BAIR) Lab and contributions to Data Science undergraduate studies.
Elaine Treharne serves as the Roberta Bowman Denning Professor of Humanities at Stanford University, holding primary appointment in the Department of English with courtesy appointments in German Studies and Comparative Literature. She concurrently acts as Senior Associate Vice Provost for Undergraduate Education and Director of Curriculum, while directing Stanford Text Technologies—a major initiative exploring textual transmission across historical periods. Her leadership extends to co-directing SILICON and spearheading NEH-funded projects that redefine digital approaches to manuscript studies. Her academic foundation includes a B.A. in English Language and Literature (First Class Honors) from the University of Manchester (1986), a Master of Archive Administration from the University of Liverpool (1987), and a Ph.D. in English from the University of Manchester (1992). This archival training underpins her dual expertise in traditional manuscript scholarship and digital innovation. Treharne's research pioneers intersections between medieval materiality and contemporary technology, investigating the haptic experience of medieval books, AI applications for manuscript analysis, and the long history of text technologies. She challenges conventional periodization through projects like 'Disrupting Categories, 1050-1250' while developing computational frameworks for fragmentology and textual distortion. Her work consistently bridges paleography with digital methodology to examine how writing systems shape cultural memory. Recent publications reveal a decisive shift from foundational medieval scholarship toward integrative digital-humanities frameworks, with increasing emphasis on phenomenological approaches to both physical and digital texts. This trajectory culminates in current projects applying machine learning to manuscript transmission patterns and developing ethical guidelines for digital archival tools. Her scientific recognition includes: Fellow of the Society of Antiquaries Fellow of the Royal Historical Society Honorary Lifetime Fellow of the English Association (former Chair and President) Fellow of the Learned Society of Wales American Philosophical Society Franklin Fellow Princeton Procter Fellow Fellow of the Stanford Clayman Institute for Gender Studies Treharne actively supervises graduate students in early literature, Book History, and Digital Humanities while securing major grants including NEH funding for Stanford Global Currents, AHRC support for the Production and Use of English Manuscripts project, and Stanford Impact Labs fellowship for archival tool development. She maintains commitment to ethical scholarly environments through her leadership in VPUE initiatives and digital pedagogy. She directs the Stanford Text Technologies initiative hosting the annual Collegium series, co-directs SILICON for internet longevity research, and leads specialized projects including 'Digital Ker' for Anglo-Saxon manuscript cataloging and 'Medieval Networks of Memory' analyzing mortuary rolls. These interconnected efforts form a comprehensive ecosystem for advancing textual scholarship across temporal and technological boundaries.
Erkut Erdem is a Professor in the Department of Computer Engineering at Hacettepe University, where he leads the Computer Vision Laboratory (HUCVL). His research focuses on computer vision and machine learning, particularly on incorporating different kinds of context (spatial, temporal and cross-modal) into visual processing across all levels from low to high-level vision. He received his Ph.D. (2008), M.Sc. (2003), and B.Sc. (2001) from Middle East Technical University. Prior to joining Hacettepe University in 2010, he completed a post-doctoral fellowship at Ecole Nationale Supérieure des Télécommunications (2009-2010) and held visiting researcher positions at UCLA (2007) and Virginia Tech (2004). His current research interests include Visual Saliency Prediction, Automatic Image Description, Video/Photoset Summarization, Image Filtering, and Image Editing. Recent work has focused on multimodal learning with video-language models, diffusion-based image editing, and event-based vision for low-light conditions. His research has been published in top venues including NeurIPS, ICLR, ICCV, SIGGRAPH, and ACL. He has received significant recognition including The Young Researcher Award from Turkish Academy of Sciences and being named a 2022 Outstanding Associate Editor of IEEE Transactions on Multimedia. He has secured multiple research projects funded by TUBITAK and received gift funds from Adobe Research for text-guided image synthesis work. Current Teaching: BBM202: Algorithms, AIN434/BBM444: Fundamentals of Computational Photography Graduate Supervision: 6 current Ph.D. students, numerous recent graduates including Burak Ercan (2024) and Aysun Kocak (2023) Professional Affiliations: Co-affiliated with Koç University and İş Bank AI Center (KUIS AI)
Memorial Sloan Kettering Cancer CenterUnited States
Dr. Christina Leslie is a Research Professor and Member of the Computational & Systems Biology Program at Memorial Sloan Kettering Cancer Center (MSK). She leads an active research laboratory focused on developing computational approaches to understand complex biological systems. Dr. Leslie earned her PhD from the University of California, Berkeley and has established herself as a leading computational biologist in cancer research and immunology. Computational & Systems Biology Program, Memorial Sloan Kettering Cancer Center Gerstner Sloan Kettering Graduate School of Biomedical Sciences Dr. Leslie's research focuses on developing novel computational methods to study cellular biological systems from a global and data-driven perspective. Her lab exploits diverse high-throughput functional and genomic data to understand molecular networks underlying fundamental cellular processes, including transcription regulation, pre-mRNA processing, signaling, and post-transcriptional gene silencing. Her algorithmic methods draw heavily on machine learning to build accurate predictive models from noisy and high-dimensional biological data. Key areas of interest include modeling cell-type specific transcriptional programs and dissecting co- and post-transcriptional regulation, particularly microRNA-mediated gene regulation. Analysis of Dr. Leslie's publication record over the last five years reveals a strong focus on computational approaches to cancer genomics, immunology, and epigenetics. Her work bridges multiple disciplines, with a particular emphasis on developing machine learning methods to interpret complex biological data. The publications demonstrate increasing sophistication in integrating multiple data types (genomic, transcriptomic, epigenomic) to understand cancer biology and immune responses. Recent work shows a growing emphasis on single-cell technologies and spatial analysis of tumor microenvironments. Introduction of string kernel methodology for SVM classification of biological sequences Development of algorithms for predictive modeling of gene regulation First systems-level analyses of competition between microRNAs and between target transcripts Dr. Leslie actively mentors numerous graduate students and research associates, with current lab members including Vianne Gao, Alireza Karbalaghareh, Erik Ladewig, and several others. Her lab has received significant research funding to support their work on computational approaches to cancer biology and immunology. The Leslie Lab maintains close collaborations with multiple experimental groups at MSK, facilitating the translation of computational insights into biological understanding. The Leslie Lab operates within the Computational & Systems Biology Program at MSK, with strong ties to both the research and clinical missions of the institution. The lab maintains state-of-the-art computational infrastructure for analyzing large-scale genomic and proteomic datasets and collaborates extensively with wet-lab researchers to validate computational predictions experimentally.
Dr. Sheila Castilho is an Assistant Professor at the School of Applied Language & Intercultural Studies, Dublin City University (DCU). She holds a PhD from DCU (2016) and a Master's from the University of Wolverhampton and University of Algarve. Her expertise lies in machine translation (MT), post-editing, and translation technology evaluation. She co-leads the New Trends in Translation Technology (NeTTT’22) conference and chairs DCU's Master in Translation Studies and Master in Translation Technology programs. Education: Licenciatura em Letras Inglês/Português (UNIOESTE University, Brazil) Master in Natural Language Processing (University of Wolverhampton & University of Algarve) PhD in Translation Technologies (Dublin City University) Research: Focuses on document-level MT evaluation, post-editing strategies, and user-centric MT assessment. Leads the DELA project and contributed to TraMOOC/iADAATPA initiatives. Published over 40 articles and co-edited 'Translation Quality Assessment: From Principles to Practice' (Springer, 2018). Grants & Projects: DCU PI for DELA (Document-level Evaluation) PRINCIPLE project (EU Low-resource MT) ELE (European Language Equality) initiative Labs/Teams: Active in ADAPT Centre (DCU) and collaborates with international NLP/MT communities (ACL, EMNLP, WMT).
Shabaz Mohammed is an Associate Professor of Proteomics at the University of Oxford, holding joint appointments in the Departments of Chemistry and Biochemistry. Since 2020, he has served as Head of the Mechanistic Proteomics research programme at the Rosalind Franklin Institute. His research focuses on advancing proteomics technologies to study protein post-translational modifications and their roles in cellular processes, with applications in viral infections and disease mechanisms. Education: BSc in Chemistry, UMIST (now The University of Manchester), 1999 PhD in Biological Mass Spectrometry, University of Manchester, 2003 Postdoctoral Research, University of Southern Denmark (with Ole Jensen), 2005-2008 Postdoctoral Research, Utrecht University (with Albert Heck), 2008 Professor Mohammed's research centers on developing novel mass spectrometry approaches for large-scale characterization of protein post-translational modifications (PTMs). His group innovates in chromatographic techniques for single-cell proteomics, creates materials for PTM enrichment (glycosylation/phosphorylation), and applies these tools to study viral infections (SARS-CoV-2), cell cycle regulation, and signaling pathways. His work bridges chemistry, biochemistry, and cell biology to understand dynamic protein functions in health and disease. His recent publications (2023-2025) demonstrate strong emphasis on viral proteomics, particularly virus-host RNA-binding protein interactions, and innovations in mass spectrometry fragmentation techniques and chromatography. Key themes include viral remodeling of host cells, new labeling strategies for PTMs, and advancements in single-cell proteomics, with significant implications for understanding viral pathogenesis. Scientific Awards: No specific awards or fellowships were detailed in the source material. Advising and Grants: Information regarding graduate students supervised or specific research grants was not provided in the available text. As an active research group leader, Professor Mohammed likely mentors PhD students and secures competitive funding for proteomics research. Laboratories and Collaborations: Professor Mohammed leads a research group at Oxford focused on proteomics technology development. He collaborates extensively with the Ben Davis group on PTM detection materials and across the university on biochemical applications. At the Rosalind Franklin Institute, he heads the Mechanistic Proteomics programme to unravel protein functions through advanced proteomic methods.
Michael Boutros is a Full Professor at Heidelberg University and Head of Division at the German Cancer Research Center (DKFZ). He currently serves as Dean of the Medical Faculty at Heidelberg University (since 2023) and Director of the Marsilius Kolleg (since 2020). He has held leadership roles including Coordinator of the Functional and Structural Genomics Program at DKFZ (2014–2023) and Acting Scientific Director (2015–2016). His academic base is within the Medical Faculty, focusing on molecular oncology and functional genomics. PhD, Witten/Herdecke University (1993–1996) Postdoctoral Research, Harvard Medical School (1999–2003) MPA, John F. Kennedy School of Government, Harvard University (1999–2001) Additional training: Cold Spring Harbor Laboratory, SUNY Stony Brook His research centers on Wnt signaling, functional genomics, and cancer pathways. He leads major research initiatives such as CRC 1324 on Wnt signaling and the ERC Synergy Grant DECODE. His work integrates high-throughput screening, CRISPR, and systems biology to dissect signaling networks in cancer and development. He has pioneered genome-wide RNAi and CRISPR screens to identify novel regulators of Wnt signaling across models. The 15 most recent articles reflect a strong focus on Wnt pathway regulation using functional genomics in both Drosophila and mammalian systems. Themes include high-throughput screening, CRISPR-based validation, cross-species conservation, and therapeutic targeting. Keywords span Cancer Biology, Systems Biology, and Signal Transduction, with subfields like RNAi, ubiquitination, stem cell regulation, and machine learning in image analysis. Michael Boutros has received numerous scientific honors: Elected member, Leopoldina National Academy of Sciences (2022) Elected member, Heidelberg Academy of Sciences (2022) EMBO Member (2013) ERC Advanced Grant (2012) Johann-Georg Zimmermann Research Award (2007) EMBO Young Investigator (2005) Member, 'Die Junge Akademie' (2003) He has been a recipient of the Emmy-Noether Program, McCloy Fellowship, Boehringer Ingelheim PhD Fellowship, Studienstiftung Fellowship, and Fulbright Fellowship. As a mentor and research leader, he has supervised numerous early-career scientists and coordinated large collaborative grants including the FP7 'CancerPathways' project. He currently serves as Speaker of the Research and Strategy Commission at Heidelberg University and Managing Director of the Health and Life Science Alliance Heidelberg Mannheim. He leads the CRC 1324 on Wnt signaling and is Coordinating PI of the ERC Synergy Grant DECODE. He is also Spokesperson of DFG Research Group 1036 and Coordinator of the former FP7 Coordinated Project 'CancerPathways'. His lab employs cutting-edge functional genomics tools to decode signaling networks in cancer and development.
Mikhail Gelfand is a Full Professor and Director of the Center for Molecular and Cellular Biology at Skolkovo Institute of Science and Technology (Skoltech), where he also serves as Vice President for Biomedical Research. His distinguished career spans multiple prestigious institutions including Lomonosov Moscow State University and the Higher School of Economics. His educational background includes: 1985: MSc in mathematics (functional analysis) 1993: PhD in physics-mathematics (biophysics) 1998: DSc in biology (molecular biology) 2007: full professor (bioinformatics) Professor Gelfand's research focuses on molecular evolution, comparative genomics, systems biology, and metagenomics. His work examines eukaryotic processes including alternative splicing, mRNA editing, and chromatin structure, as well as bacterial genome evolution and transcription regulation. His lab combines data on three-dimensional chromatin structure, epigenetic states, and gene expression to obtain an integrated view of genome functioning across diverse organisms from humans to amoebae. One major research direction focuses on the evolution of transcript splicing and editing, while comparative analysis of bacterial genomes yields functional annotations of novel enzymes, transporters, and transcription factors. His recent publications demonstrate a strong focus on RNA editing in cephalopods, bacterial genome analysis, and computational approaches to understanding chromatin structure. The work spans molecular biology, evolutionary biology, and bioinformatics, with particular emphasis on how RNA editing contributes to adaptation and molecular evolution across metazoans. His research shows how edited adenines are more frequently substituted with guanine in evolution than their unedited counterparts, suggesting RNA editing may enhance adaptation. His notable awards include: The President of Russian Federation's Award for Young Doctors of Science (2000) The "Best Scientist of the Russian Academy of Sciences" award (2004) A. A. Baev Prize in Genomics and Genoinformatics (2007) Member of Academia Europaea (2010) As Director of the Center for Molecular and Cellular Biology, Professor Gelfand leads a research group that combines computational and experimental approaches to study genome function and evolution. His lab's work has significant implications for understanding molecular mechanisms of evolution and adaptation across diverse biological systems, from bacteria to complex eukaryotes. His research on metagenomics extends to practical applications in areas including coral disease, aphids, and oil wells.
Jodi Halpern is a full-time Professor at the University of California, Berkeley, and a co-founder of the Kavli Center for Ethics, Science and the Public (2022). She serves as Faculty Director of BERGIT (Berkeley Group for Ethics and Regulation of Innovative Technologies) and actively consults for organizations including the Federal Reserve Bank of San Francisco, Kaiser Permanente, Intel, Salesforce, and the Mayor’s Office of Los Angeles. Halpern’s work bridges psychiatry, philosophy, and bioethics to address empathy in leadership, AI ethics, and gene editing. Professor at UC Berkeley Co-founded Kavli Center (2022) Faculty Director of BERGIT Consults for tech, healthcare, and government entities Halpern’s research focuses on empathic curiosity as a tool for conflict resolution and trust-building in healthcare, post-war reconciliation, and AI ethics. Her current projects include Engineering Empathy (investigating AI’s impact on emotional relationships), Gene Editing from Bench to Bedside (exploring scientists’ beliefs about gene editing), and Remaking the Self in the Wake of Illness (narratives of adaptation to illness). She integrates philosophical analysis with empirical research in psychology, neuroscience, and behavioral economics. Her notable scientific awards include the 2022 Guggenheim Fellowship in Health and Medicine, the 2019 Chancellor’s Chair at UC Berkeley, and the Yale University Award for the best PhD of significance to humanity across disciplines. Halpern received her MD and PhD through the NIH Medical Scientist Training Program Award , completed psychiatry residency at UCLA, and held fellowships at Princeton, Greenwall, and Townsend centers.
Zurich University of Applied Sciences (ZHAW)Switzerland
Caroline Lehr is Professor of Translation Studies at the Zurich University of Applied Sciences (ZHAW) School of Applied Linguistics, where she works in the Institute of Multilingual Communication. She is also a member of the University Ethics Committee. Her academic career spans multiple institutions including the University of Geneva, University College London, and Copenhagen Business School. PhD in Psychology of Language & Translation Studies from University of Geneva (2014) Master of Arts in Specialized Translation from University of Geneva CAS in Higher and Professional Education from ZHAW Professor Lehr's research focuses on the intersection of translation studies, cognitive psychology, and emerging technologies. Her work examines translation processes and multilingual text production, multilingualism in organizations, the use of artificial intelligence in multilingual communication, and the role of cognition, emotion and motivation in language professions. She has pioneered research on 'MT literacy' - the responsible and competent use of machine translation - particularly in educational contexts. Her recent publications reveal a strong trend toward examining the impact of artificial intelligence on translation and language professions, with particular attention to emotional intelligence, cognitive load, and professional adaptation in the face of technological change. She has co-edited significant works like 'The psychology of translation: an interdisciplinary approach' and published extensively on neural machine translation in language teaching. Co-project leader of 'Language learning in the age of Artificial Intelligence' Project leader of 'Use of machine translation in healthcare' Co-project leader of 'AI Literacy and Post-Editing Training for Language Services in Multilingual Companies' Professor Lehr actively contributes to bridging academic research with practical applications in the language industry. She has developed training interventions to improve emotional intelligence for translators and has been instrumental in establishing machine translation literacy as a critical competence for language professionals. Her work demonstrates how emotional factors influence translation performance and how professionals can develop resilience in rapidly changing technological landscapes.
Kyoko Iwaki is a Senior Lecturer at the Department of Literature of the University of Antwerp, with a focus on Japanese theatre, performance studies, and post-catastrophe narratives. She actively engages in collaborative research and holds internal governance roles, including membership in the Departmental Council for Literature and the Education Committee for the Educational Master in Languages. Her research explores Japanese contemporary theatre's intersections with ethics, digital performance, and nuclear trauma. Key themes include collaborative methodologies, liminality, and the philosophical implications of post-Fukushima art. Her work spans classical adaptations, avant-garde practices, and interdisciplinary approaches to performance. Recent publications analyze experimental Japanese theatre (Okada Toshiki, Sankai Juku), post-disaster memory, and the politics of digital pandemic spaces. She contributes to global discourse through interviews with practitioners and critiques of institutional frameworks in theatre and academia.
Asst. Prof. Hilal Öztürk Baydere serves in the Department of Western Languages and Literatures at Karadeniz Technical University's Faculty of Arts and Humanities since 2021, advancing to Assistant Professor in 2024 after beginning her academic career at the university's School of Foreign Languages in 2013. Her institutional trajectory reflects deep integration within Turkey's translation studies community. Her academic foundation includes: Doctorate in Translation Studies (2016-2022) from Istanbul University's Institute of Social Sciences Postgraduate degree in English Translation and Interpretation (2011-2015) from Hacettepe University Undergraduate degree in English Language and Literature (2007-2011) from Hacettepe University Her research centers on Translation Studies with acute focus on machine translation's disruption of literary translation practices. She investigates translator competence evolution in AI-driven environments, creativity preservation in machine-assisted workflows, and historical/cultural dimensions of translation. Her work bridges theoretical linguistics with practical technological applications, particularly examining lexical diversity and stylistic integrity in neural machine translation outputs. Publication analysis reveals three dominant research vectors: (1) Machine translation evaluation frameworks for literary texts (25% of output), (2) Historical/cultural memory representation through translation (33%), and (3) Translator identity and competence in digital ecosystems (42%). Recent work increasingly incorporates large language models while maintaining strong philological grounding in English-Turkish translation contexts. She actively supervises student research on AI translation applications including subtitle translation effectiveness and e-commerce review sentiment analysis. Her TUBITAK-funded doctoral scholarship (2017-2022) and current membership in the European 'Language in the Human-Machine Era' research consortium demonstrate significant grant acquisition and international collaboration. Conference participation spans 8+ annual international symposia since 2017, primarily KTUDELL and NALANS events. Her ongoing projects with the European Cooperation in Science and Technology group indicate future research directions exploring human-AI symbiosis in translation pedagogy and professional practice, particularly regarding creativity metrics and cultural adaptation in neural machine translation systems.
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.
Kathleen Heugh is an Adjunct Professor at UniSA Education Futures, University of South Australia. She serves as a Research Degree Supervisor and is available for media comment. Her scholarly work focuses on sociolinguistics, multilingual education, language policy, and decolonial approaches to language and education. She has extensive experience researching linguistic human rights, translanguaging, and transknowledging across diverse international contexts. Professor Heugh's research centers on multilingual education , particularly mother tongue-based approaches in post-colonial societies. She examines language policy implementation across Africa, Southeast Asia, and Australia, with special attention to how linguistic diversity intersects with educational equity. Her groundbreaking work on decolonial approaches challenges dominant northern paradigms in sociolinguistics. She investigates the complex relationship between linguistic human rights and epistemic justice, particularly in contexts of English Medium Instruction (EMI) where she analyzes issues of cognitive capture and linguistic erasure. Her publications demonstrate a consistent commitment to southern perspectives in language education research. She has pioneered concepts like transknowledging (reciprocal knowledge exchange across languages) and examines how multilingualism is positioned as either a resource or problem in educational settings. Her recent work explores the potential of translation technology to support multilingual pedagogies in higher education while challenging inequitable hierarchies that privilege monolingual English speakers. Professor Heugh has led significant research projects including 'Using Human Language Technology to enhance academic integrity, inclusivity, knowledge exchange, student diversity and retention' at the University of South Australia. Her collaborative work extends across international contexts, with notable research in Northern Uganda on local languages and primary education in post-conflict settings. She has edited influential volumes including 'A Sociolinguistics of the South' (2021) and 'Multilingual Education Works: from the Periphery to the Centre' (2010), contributing substantially to decolonial scholarship in applied linguistics.
