Find Academic Supervisors

• Visual Literacy
• Multimodality
• Educational Technology (ICT)
• +3 more

Jon Callow is an Associate Professor in English Education (K-6) and Program Director of the MTeach(Primary) program at the University of Sydney, within the Faculty of Arts and Social Sciences. He holds advanced degrees including an EdD from the University of Western Sydney and has extensive teaching experience in primary schools and universities. His research focuses on visual literacy, multimodality, and the integration of ICT in literacy education, with a particular emphasis on equity and student engagement. He has collaborated internationally, including with Glasgow University on Reading for Pleasure pedagogies and with the University of Oklahoma on student literacy engagement studies. Dr. Callow has received significant accolades, including the 2019 Faculty of Arts and Social Sciences Excellence in Teaching Award and the 2010 Faculty of Education and Social Work Teaching Excellence Award. His work emphasizes innovative teaching methodologies, such as using picture books and digital tools to enhance literacy practices. Current projects include investigating Reading for Pleasure in Initial Teacher Education and assessing student comprehension of multimodal texts. Education: BA(Sydney), DipEd(Sydney), MEd(Sydney), EdD(UWS), GradCert(Sydney) Affiliations: Member of PETAA and ALEA Grants: Recipient of a $5,000 Teaching Inquiry Grant (2011-2012) for interactive whiteboard research His publications span books, journal articles, and conference papers addressing topics like multimodal assessment, visual literacy frameworks, and inclusive pedagogical strategies for diverse student populations.

• Community Language Education
• Heritage Languages
• Multilingualism
• +6 more

Dr. Janica Nordstrom is a Senior Lecturer at the School of Education and Social Work, University of Sydney. She serves as Program Director for the Master of Teaching (Secondary) program and coordinates courses in language, literacy, and diversity. Her research focuses on community language education, heritage languages, and multilingualism, with a particular interest in equity and ethnographic methodologies. Nordstrom holds a PhD from the University of Sydney and prior degrees from the University of Växjö, Sweden. Her education background includes a PhD (University of Sydney) following MA and MEd degrees from the University of Växjö. Before academia, she taught in secondary schools and adult second language education in Sweden. Research interests span heritage language education, minority language policy, online pedagogy, and the intersection of identity and multilingualism. Recent work examines digital spaces in language planning and educational equity in community schools. Awards include the 2019 FASS Teaching Excellence Award and multiple research grants. She supervises Zeina Taleb in a project on receptive bilingualism and family language policies. Teaching responsibilities include courses on assessment diversity, literacy in education, and teacher internship coordination. Her publications emphasize community language schools' roles in maintaining cultural heritage and addressing systemic inequities.

• Learning Sciences
• Psychology of Education
• Learning Technologies and New Media
• +9 more

Professor Alyson Simpson is a prominent academic in English and Literacy Education at the University of Sydney. She holds roles in undergraduate and graduate-entry programs, focusing on linking educational theory with classroom practice. Her work integrates partnerships with schools to explore language development, critical literacy, and the role of technology in education. Education : BA (UNSW) MEd (Sydney) GradDipLibSc (UTS) GradDipEd (Sydney) PhD (UWS) GradDipChilLit (UTS) MEd (Higher Education) (Sydney) Research Interests : Learning sciences, psychology of education, learning technologies, teaching and learning research, teacher education, English literacy. Her studies include Reading for Pleasure (RfP) Australia and international projects on children's literature in teacher education. Key Projects : What's the Evidence (NSW Department of Education-funded study on teacher quality). Reading for Pleasure Australia (exploring reading practices in schools). International comparative projects on literacy pedagogy. Awards : Maurice Saxby Award (2019) Advance HE Senior Fellowship (2019) OLT Citation (2015) Multiple Teaching Excellence Awards (2011, 2005) Advising & Grants : Advises PhD students on culturally inclusive literacy practices and kindergarten literacy blocks. Recipient of grants from AITSL, Sydney University, and international bodies. Labs/Teams : Collaborates globally, including with Beijing Normal University on teacher work analysis. Leads dialogic pedagogy initiatives in blended and hybrid learning environments.

Cris Edmonds-WathenView profile

Senior Lecturer

• Mathematics Education
• Linguistics
• Indigenous Education
• +3 more

Dr Cris Edmonds-Wathen is a Senior Lecturer in Education at Charles Darwin University's Faculty of Arts and Society. She specializes in Mathematics Education with a focus on Indigenous languages and cultural contexts. Her research explores how non-Indo-European languages, particularly Australian Indigenous languages, express mathematical concepts and how these can be integrated into education systems. Education: PhD in Mathematics Education, RMIT University (2013) Graduate Diploma in Primary Education, Charles Darwin University (2005) Bachelor of Arts (First Class Honours), University of Western Sydney (1998) Bachelor of Arts (Linguistics & Mathematics), University of Melbourne (1995) Research Interests: Dr Edmonds-Wathen investigates mathematical expression in Indigenous languages, policies for language-in-education, and culturally responsive mathematics curricula. She has conducted fieldwork in Australia and Papua New Guinea, focusing on spatial cognition, bilingual education, and Indigenous knowledge systems. Her work contributes to the UN Sustainable Development Goal on Quality Education (SDG4). Awards: 2023 Award for Excellence and Impact in Education from the Australian Council of Deans of Education Grants & Programs: Principal Investigator for the MiIL Project (2021–2023), identifying mathematical expression in Indigenous languages Coordinates the Growing Our Own program, training Indigenous teachers in NT Recipient of ARC Centre of Excellence funding for language dynamics research Labs & Networks: Active in international networks including the Umeå Mathematics Education Research Centre (Sweden) and the Research Unit for Indigenous Language (Melbourne). Collaborates with Catholic Education NT and PNG elementary schools.

Andrea HorbachView profile

Professor

• Natural Language Processing
• Educational Technology
• Automated Essay Scoring
• +3 more

Prof. Dr. Andrea Horbach is a Professor of 'Teaching and Learning in the Digital World' at Christian-Albrechts-University of Kiel (CAU) and the Leibniz Institute for Science and Mathematics Education (IPN). She leads the EduNLP junior research group, focusing on Natural Language Processing (NLP) for educational applications. Previously, she held a Junior Professorship in Digital Humanities at Hildesheim University and led the EduNLP group at FernUniversität Hagen. Her research emphasizes automated essay scoring, feedback generation, and language technology for education. Education: PhD in Computational Linguistics, Saarland University (2018) MSc (Diplom) in Computational Linguistics, Saarland University (2008) Postdoctoral Research at Duisburg-Essen University (2016–2021) Research Interests: NLP for education, automated content scoring, AI-driven feedback systems, and cross-lingual learning applications. Her work bridges technical NLP advancements with practical classroom needs, aiming to enhance writing and assessment tools for learners. Articles & Projects: Recent contributions address automated scoring weaknesses, AI feedback effectiveness, and benchmarking visio-linguistic models. She co-edits proceedings for NLP in education and collaborates on projects like CATALPA to integrate language-centric digital tools into teaching. Awards: None explicitly listed. Advising & Grants: Supervised over 20 theses on topics like adversarial input detection in scoring systems and multilingual spellchecking. Active in funding initiatives for educational NLP and has led CATALPA’s EduNLP group. Labs/Teams: Leads the EduNLP group and collaborates with CATALPA, focusing on predictive analytics and advanced learning technologies.

Christian HänigView profile

Professor

• Machine Learning
• Deep Learning
• Natural Language Processing
• +7 more

Prof. Dr. Christian Hänig is a Professor at the Department of Computer Science and Languages and a Temporary Lecturer at the Department of Electrical Engineering, Mechanical Engineering and Industrial Engineering at Anhalt University of Applied Sciences. He advises the Data Science (Full-Time Program) Master of Science degree and teaches courses such as Artificial Intelligence, Data Mining, and Deep Learning. His research focuses on Machine Learning, Deep Learning, Natural Language Processing (NLP), Computer Vision, Medical Imaging, Multimodal Document Processing, and Data Science. Recent work emphasizes applications in financial domains (e.g., German financial language models and corpus development) and agricultural sector benchmarking. Earlier research includes VR education analytics, unsupervised NLP techniques, and knowledge extraction from unstructured data. Key publications (2024) include developing benchmarks for Ukrainian language models, evaluating agricultural LLMs, and creating financial domain corpora. His contributions span over 20 years, addressing challenges in domain-specific NLP, clinical text mining, and industrial quality analysis. Prof. Hänig’s academic service includes roles as a degree program advisor and committee member. Office hours are Thursdays 4:30–6:00 PM (by appointment) at the Ratke Building, Room 23-114, Köthen campus.

• Human-Computer Interaction
• Eye Tracking
• Educational Technology
• +3 more

Susanne Hummel is a Researcher at the University of Hamburg (UHH), contributing to interdisciplinary projects in Human-Computer Interaction and Digital Humanities. Her work focuses on eye tracking in online learning contexts and collaborative research data curation initiatives like the Beta maṣāḥǝft project. She has co-authored studies exploring eye movement synchronicity's impact on test performance and visualizing collective attention in educational settings. Her research integrates technologies like eye tracking with educational theory, while her data science contributions emphasize open science practices through structured datasets. Collaborations span international teams in computer science, linguistics, and education.

Alejandro Catalá BolósView profile

Assistant Professor

• Human-Computer Interaction
• Trustworthy AI
• Virtual and Augmented Reality
• +4 more

Alejandro Catalá Bolós is an Assistant Professor at the University of Santiago de Compostela (USC), affiliated with the Center for Research in Intelligent Technologies (CiTIUS) and the Intelligent Systems Group. He holds a PhD from the Universitat Politècnica de València (2012) and has held postdoctoral positions at the University of Twente (Netherlands) and the University of Castilla-La Mancha. His work focuses on Human-Computer Interaction, Trustworthy AI, and Explainable Artificial Intelligence, integrating multimodal interfaces, robotics, and tangible interaction. Education: PhD in Computer Science, Universitat Politècnica de València (2012) MSc in Software Engineering, Universitat Politècnica de València (2008) BEng in Computer Science, Universitat Politècnica de València (2006) Research Interests: Catalá explores how interaction technologies can enhance creativity, learning, healthcare, and entertainment through multimodal interfaces. He emphasizes explainable AI systems, ethical AI practices, and user-centered design principles. His work bridges tangible computing, augmented reality, and dialogue systems to build trustworthy human-AI collaborations. Publications & Impact: With over 70 publications, his research addresses lexical alignment in conversational agents, counterfactual explanations for machine learning, and AI literacy in K-12 education. Recent work focuses on regulatory frameworks for explainable AI in the EU and dementia care technologies like the Emobook app. Grants & Awards: Marie Skłodowska-Curie Individual Fellowship (EU Horizon 2020) Juan de la Cierva-Incorporación Grant (Spain) Best Student Award in Computer Science (UPV, 2006) Labs & Teams: Leads research in CiTIUS's Intelligent Systems Group, collaborating with interdisciplinary teams on projects like the coBOTnity EU initiative and sustainable AI frameworks. Active in organizing workshops such as MAI-XAI and NL4XAI.

• Speech and emotion processing
• Green Artificial Intelligence
• Human-machine interaction
• +4 more

BEN LETAIFA Leila is a Researcher at CESI, holding a dual role as researcher-lecturer in the Engineering and Numerical Tools department. Her work bridges computer science with human-centric AI applications. She earned a PhD in Telecommunications from Télécom Paris (2007) and an engineering degree from ENIT (1997). Her research focuses on speech/emotion processing, green AI, and human-machine interaction, particularly in emotion recognition systems and model compression for mobile applications. Her recent research emphasizes efficient transformer architectures for speech-to-speech translation, emotion detection in older adults interacting with virtual coaches, and multimodal datasets like CG-MER. She has contributed to over 30 peer-reviewed publications, including work on end-to-end speech recognition optimization and perceptual data balancing for emotional datasets. Education: PhD in Telecommunications, Télécom Paris (2007) Engineering Degree, ENIT (1997) Current Research Themes: Emotion Recognition in Human-Machine Interaction Efficient Neural Network Compression Multimodal Data Collection Methodologies Her publications reveal a strong focus on practical AI solutions for real-world applications, including elderly care systems and cross-context emotion analysis. Her work often integrates machine learning optimization with ethical considerations for sustainable AI deployment.

Zhaoxing LiView profile

Research Fellow

• Artificial Intelligence
• Large Language Models
• Deep Reinforcement Learning
• +4 more

Dr. Zhaoxing Li is a Research Fellow at the University of Southampton, specializing in Citizen-Centric Artificial Intelligence Systems (CCAIS). His work focuses on integrating Large Language Models (LLMs), Deep Reinforcement Learning, and Multi-Agent Systems to bridge technological innovation with societal impact. He emphasizes human-AI interaction, explainable AI, and ethical AI development. Zhaoxing collaborates on projects like FATES of Africa and contributes to educational technology through AI-driven learning systems. His research interests include Large Language Models Deep Reinforcement Learning Multi-Agent Systems Human-AI Interaction Explainable AI . Recent work highlights include advancing consensus-building algorithms, personalized learning recommendations via LLMs, and gesture recognition for multimodal interfaces. His publications span conferences and journals like Universal Access in the Information Society and Neurocomputing. No scientific awards are listed. Current projects emphasize citizen-centric AI architectures and ethical AI deployment.

• Machine Learning
• Neural Networks
• Computer Vision
• +3 more

Michael Adjeisah is a Research Fellow at Bournemouth University's CfACTs Research Centre, focused on interdisciplinary research in machine learning and artificial intelligence. His work spans computer vision, natural language processing, health informatics, and data science, with applications in cultural heritage technology, low-resource language processing, and medical systems. Notable research areas include Adinkra symbol recognition using deep learning, graph neural networks for classification tasks, and sentiment analysis models leveraging attention mechanisms. He has contributed to advancements in neural machine translation for low-resource languages and blockchain-enabled privacy solutions for electronic health records. Adjeisah's publications reflect a strong emphasis on practical applications of AI, with recent work addressing challenges in spoken digit recognition for Amharic and respiration-based biometric systems. His research often integrates multi-sensor fusion and data augmentation techniques to enhance model performance in real-world scenarios.

Katharina von der WenseView profile

Assistant Professor

• Natural Language Processing
• Machine Translation
• Low-Resource Languages
• +3 more

Katharina von der Wense is an Assistant Professor at the University of Colorado, currently on leave for Fall 2025. Her research focuses on Natural Language Processing (NLP), with a particular emphasis on low-resource languages and indigenous language documentation. She has contributed significantly to machine translation systems for underrepresented languages, ethical considerations in NLP, and educational technologies leveraging computational linguistics. Her work bridges technical innovation with sociocultural impact, addressing gaps in linguistic diversity and accessibility. Her research explores topics such as morphological processing, cross-lingual transfer learning, and the application of large language models (LLMs) to real-world challenges. She actively participates in initiatives like the AmericasNLP workshop series, advancing NLP solutions for Indigenous languages of the Americas. Key areas include paradigm clustering, self-supervised learning for morphology, and the development of probing datasets for neural network analysis. Her publications highlight interdisciplinary approaches, combining computational methods with linguistic theory to tackle challenges in education, cultural preservation, and algorithmic fairness. She has pioneered methodologies for evaluating LLM robustness, improving context handling in QA systems, and creating multilingual hate speech detection frameworks.

Monika Zaśko-ZielińskaView profile

Professor

• Polish Language Stylistics
• Discourse Analysis
• Forensic Linguistics
• +7 more

Dr. hab. Monika Zaśko-Zielińska, prof. UWr, is a Professor at the University of Wrocław's Department of Contemporary Polish Language within the Institute of Polish Philology. She co-founded the Spoken Polish Workshop and specializes in forensic linguistics, corpus linguistics, stylistics, and discourse analysis. Her research focuses on linguistic traces in forensic document analysis, electronic writing, and orality in written texts. She has authored works on language awareness, expressive marking, and biolect identification. Her interdisciplinary work bridges linguistics with legal studies, particularly in document expertise and text authenticity analysis. Education and Academic Background: While specific educational details are not explicitly listed, her academic titles (dr hab., professor) indicate advanced scholarly qualifications in Polish philology. Research Interests Forensic linguistics applications in document analysis Corpus-based studies of epistolary and conversational discourse Emotive annotation and sentiment analysis in Polish Electronic writing norms and textual authenticity Publications Zaśko-Zielińska has authored and edited over 60 works, including monographs like Listy pożegnalne: W poszukiwaniu lingwistycznych wyznaczników autentyczności tekstu (2013) and edited volumes such as Forensic Linguistics: Theory and Practice (2019). Her research appears in journals like Cognitive Studies and International Journal of Language & Literature . Grants and Awards No specific grants or awards are explicitly listed, but her extensive publications and academic role indicate sustained scholarly recognition. Advising and Labs She co-founded the Spoken Polish Workshop and collaborates on projects like the Wrocław Corpus of Consumer Reviews Sentiment (WCCRS). Her work often involves interdisciplinary teams in forensic linguistics and computational linguistics.

• Robotics in Healthcare
• Gerontechnology
• Health Informatics
• +5 more

Rainer Wieching is a Substitute Professor (Vertretungsprofessur) for Business Information Systems at the University of Siegen's Faculty of Business Information Systems and New Media. He serves as Head of the Health and Prevention Division, focusing on robotics, AI, and ICT-based solutions for elderly care and preventive health. His work bridges healthcare technology, gerontechnology, and human-robot interaction. Education and Professional Background: Dr. Wieching holds a PhD and degrees in sports science, physiology, and medical education. He has 15 years of experience leading health-tech startups and 8 years in engineering systems for energy sector process control. His research integrates medical expertise with IT systems for evidence-based medicine and assistive technologies. Key Projects: He leads/co-leads EU-Japan initiatives like e-VITA (AI-driven aging support), my-AHA (frailty detection), and iStoppFalls (fall prevention). His work spans over 20 projects including HAPPIER (empathetic robots), Cognitive Village (adaptive systems), and MobiAssist (dementia care). Research Focus: Current projects emphasize social robots in intercultural contexts (Germany-Japan), digital twins for aging, and participatory design of health technologies. He explores ethical implications, technology acceptance, and sustainable tech integration in care settings. Labs & Collaborations: Active in PRAXLABS, Fab Lab Siegen, and Social Media Observatories. Engages in international collaborations through EU-funded programs and cross-cultural studies between Europe and Japan.

• 2SLGBTQ+ mental health and wellbeing
• gender equity in early childhood education
• supporting families in early years
• +7 more

Dr. Dane Marco Di Cesare is an Assistant Professor in the Department of Educational Studies within the Faculty of Education at Brock University. His academic focus spans exceptional education, multimodality, digital technologies, and literacy and multiliteracies. With extensive P-12 classroom teaching experience from pre-school to middle and high school, Dr. Di Cesare brings practical educational expertise to his university-level teaching in exceptional education, research methods, and early childhood literacy, consistently emphasizing equity, diversity, inclusion and decolonization across all courses. PhD in Special Education with a focus on Digital Technologies (2015), University at Buffalo Dr. Di Cesare's research takes an intersectional approach, examining how youth with complex identities, particularly 2SLGBTQ+ individuals, engage with digital technology and media literacies. His work spans critical areas including 2SLGBTQ+ mental health and wellbeing, gender equity in early childhood education, support systems for early years families navigating educational systems, and the application of digital technologies in inclusive educational settings. As Principal Investigator for the LEVEL UP! research project, he investigates gaming experiences of 2SLGBTQ+ youth, exploring how representation (or lack thereof) in video games influences identity development and wellbeing. Analysis of Dr. Di Cesare's scholarly publications reveals a consistent trajectory connecting educational technology with inclusive practices. His work demonstrates growing emphasis on LGBTQ+ issues in education, particularly through his leadership in gaming-related research. The publications consistently address how digital tools can support diverse learners while maintaining a strong focus on equity and inclusion across educational contexts. Dr. Di Cesare maintains significant professional leadership roles that complement his research interests. As Canada Regional Network Chair for the International Partnership for Queer Youth Resilience, he contributes to a multilingual research initiative focused on supporting 2SLGBTQ+ youth through technology-engaged research. Additionally, he serves as President of the NYS Council for Exceptional Children, Chapter 402, demonstrating his commitment to special education advocacy. His LEVEL UP! research project has received multi-institutional ethics approval from Brock University (21-019), the University of Toronto (00041573), and the Mexico Faculty of Medicine Ethics Committee (FM/D1/050/SR/2022), indicating substantial research funding and collaborative capacity. The project features LEVEL UP! Champions - video game streamers who support recruitment efforts and work toward creating safer online gaming communities for LGBTQ+ youth. Dr. Di Cesare leads a research team comprising Co-Principal Investigator Shelley Craig, Graphic Design Coordinator Oveesh Mian, and Co-Chair Kaitrin Doll. His teaching portfolio includes multiple courses related to exceptional education and early childhood literacy, demonstrating his commitment to preparing future educators in inclusive practices.