جست‌وجوی استاد و پژوهشگر

Agata Mrva-Montoyaمشاهده پروفایل

مدرس ارشد

• Publishing Studies
• Scholarly Publishing
• Digital Publishing
• +۴ مورد دیگر

Agata Mrva-Montoya is a Senior Lecturer in Media and Communications at the University of Sydney, serving as Degree Director for the Master of Publishing program. She holds a Master of Archaeology from Jagiellonian University (Poland) and a PhD in Archaeology from the University of Sydney, followed by a Graduate Certificate in Sydney. Her academic career bridges scholarly publishing expertise with educational innovation. Research interests focus on digital publishing, accessibility, and the transformation of scholarly communication. Notable contributions include Inclusive Publishing and the Quest for Reading Equity (2025) and foundational work on accessible publishing standards. She actively contributes to industry initiatives like the Round Table on Information Access and the Australian Inclusive Publishing Initiative. Teaching includes Publication Design and Producing Books in the Digital Age , emphasizing practical skills and critical analysis of publishing industry challenges. Awards include the 2020 SUPRA Teacher of the Year (runner-up) and a 2014 Australia Council grant. Professional service spans editorial roles at Sydney University Press and leadership in industry organizations such as IPEd and the Australian Publishers Association. Her work explores intersections of technology, equity, and publishing practices to advance accessible and innovative scholarly communication.

Liang Zhengمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Deep Learning
• Person Re-identification
• +۳ مورد دیگر

Liang Zheng is a Senior Lecturer in the School of Computing at The Australian National University (ANU). He holds a Computer Science Futures Fellowship and an ARC DECRA Fellowship. His research focuses on computer vision applications such as person re-identification and medical image understanding, alongside fundamental challenges in dataset-level learning and synthetic data analysis. Zheng has contributed to influential datasets like Market-1501, PRW, and MARS, advancing person re-identification and multi-camera tracking. He has served as Area Chair for CVPR, ECCV, and ACM Multimedia, and is an Associate Editor for IEEE T-CSVT. Education: PhD (Electrical Engineering) from Tsinghua University (2015), Bachelor of Science (Life Science) from Tsinghua University (2010). His research integrates deep learning and generative models, addressing challenges in image generation, adversarial robustness, and multi-agent systems. Notable awards include the Computer Science Futures Fellowship (ANU) and ARC DECRA Fellowship (2020). Key contributions include pioneering work on re-identification datasets and methods, as well as advancements in cross-modal retrieval and domain adaptation. Ongoing research emphasizes scalable models, synthetic data generation, and ethical AI practices.

Heiko Müllerمشاهده پروفایل

پژوهشگر

• Ambient Display Technologies
• Human-Computer Interaction
• Robotics
• +۳ مورد دیگر

Dr. Heiko Müller is a researcher at the University of Oldenburg, affiliated with the Department of Computing Science. He coordinates the DFG-funded priority program 'Scalable Interaction Paradigms for Pervasive Computing Environments' and previously served as a Postdoctoral Researcher at the University of Lapland and Senior Researcher at OFFIS. His research focuses on Ambient Display Technologies, Robotics, and Digital Inclusion, with over 70 publications in top venues like CHI and TEI. He holds a PhD in Engineering (2018) and a Diplom in Computer Science from the University of Oldenburg. His work spans EU-funded projects like 'DecoChrom' (Finland) and 'GAL' (Germany), emphasizing age-friendly technologies and cooperative systems. He actively contributes to conferences as a reviewer and organizer, notably the CHI networking event. Key projects include exploring wearable ambient displays, smart home interfaces, and tactile feedback systems. His interdisciplinary approach integrates HCI principles with robotics and material science.

• Political Communication
• Media Studies
• Journalism
• +۵ مورد دیگر

Robin Leuppert, M.A., is a Research Assistant and PhD Student at the Department of Journalism and Communication Research at the Hanover University of Music, Drama and Media. His research focuses on political communication, particularly news usage and its determinants; reception and effects research; computational methods in empirical social research; and media entrepreneurship. He holds a Master’s degree in Media Management from the same department and has professional experience in media measurement, business development, and sales analytics. Leuppert is an active member of academic associations including the International Communication Association (ICA), European Communication Research and Education Association (ECREA), and German Society of Mass Communication (DGPuK). His work bridges theoretical and applied research, addressing topics such as AI in journalism, media brand perceptions, and information behavior during health crises. He has presented at major global conferences like ICA and contributed to peer-reviewed journals in communication and media studies.

Badie Khaleghianمشاهده پروفایل

استادیار

• Digital Music
• Brain-Computer Interfaces
• AI-Driven Music Cognition
• +۲ مورد دیگر

Badie Khaleghian is an Assistant Professor of Digital Music at Bowdoin College. His interdisciplinary research merges music, technology, neuroscience, and cultural studies, with emphasis on brain-computer interfacing, AI-driven brain data sonification, and immersive multimedia composition. He collaborates with institutions including the NSF BRAIN Center and MD Anderson Cancer Center. His creative works (e.g., Letters I Never Sent , Meeting of Minds ) have been showcased at the United Nations, New World Symphony, and international festivals. Awards include grants from New Music USA and the Theodore Presser Foundation. Articles explore neural synchrony in collaborative art and mobile brain imaging in performative contexts.

Zhicheng Luمشاهده پروفایل

پژوهشگر ارشد

• Deep Learning
• Computer Vision
• AI in Healthcare
• +۳ مورد دیگر

Zhicheng Lu (Andy) is a Postdoctoral Research Fellow in Artificial Intelligence at the Rural Health Research Institute, Charles Sturt University. He holds a PhD in Computer Science from the University of Sydney. His research focuses on AI applications in healthcare, particularly stroke diagnosis systems using deep learning, and light field imaging techniques. He has expertise in computer vision, image processing, and neural networks. Education: PhD in Computer Science (University of Sydney). Research Interests: AI-driven medical diagnostics, light field technology, event-based vision systems, and haptic interfaces. His work contributes to UN Sustainable Development Goals related to health and innovation. Collaborations include projects on light field video synthesis, dynamic force feedback systems, and bio-inspired sensing technologies. He has published extensively in journals like IEEE Transactions and conference proceedings, with a focus on advancing AI applications in healthcare and imaging.

Benjamin Brackeمشاهده پروفایل

پژوهشگر

• Machine Learning
• Medical Imaging
• Computer Vision
• +۳ مورد دیگر

Benjamin Bracke, M.Sc., is a researcher with a strong focus on interdisciplinary applications of machine learning and computer vision. His work spans medical imaging, biodiversity informatics, and educational technology. He has contributed to projects such as ImageCLEF challenges, advancing multimedia retrieval systems in healthcare and ecological contexts. Recent research includes diabetic foot ulcer diagnosis, snake species classification using multimodal data, and kidney tumor segmentation via U-Net architectures. Key research interests include machine learning pedagogy, integrating industrial projects into Master’s curricula, and developing automated solutions for medical diagnostics. His technical expertise lies in object detection, semantic segmentation, geospatial data fusion, and metadata-driven classification systems. Bracke’s publications demonstrate a decade-long commitment to medical engineering (e.g., femoral neck axis detection for hip surgeries) alongside modern AI applications. Despite no listed awards or grants, his work bridges academic research with practical clinical and ecological challenges. No lab affiliations or student advisements are explicitly mentioned in the provided texts.

Michael Stewartمشاهده پروفایل

دانشیار

• Human Computer Interaction
• Educational Technologies
• Computer Science Education
• +۳ مورد دیگر

Michael Stewart is an Associate Professor of Computer Science at James Madison University (JMU), part of the College of Integrated Science & Engineering. His academic background includes a Ph.D. from Virginia Tech (2018), M.S. (2013), and B.S. (2007). Before joining JMU, he worked as a software developer at IBM, Red Hat, and Amazon, bringing industry experience into academia. Education: Ph.D. Computer Science, Virginia Tech (2018) M.S. Computer Science, Virginia Tech (2013) B.S. Computer Science, University of North Carolina (2007) Research Interests: Stewart focuses on Human-Computer Interaction (HCI), Educational Technologies, and Computer Science Education innovations. His work includes developing platforms like EduGit for course content sharing, assistive technologies for mobility-impaired users, and tools supporting music-based family connectivity ( FamilySong ). He also explores web development pedagogy and ethical discussions in CS education. Publications Trends: His recent work emphasizes educational technology innovation (e.g., Praxly IDE for CS assessments) and peer-driven learning models. Earlier research covered game-based learning (e.g., RaBit EscAPE ), HCI for accessibility, and algorithm visualization tools. Advising & Grants: While no specific grants are listed, his industry collaborations (e.g., IBM, Amazon) suggest applied research funding potential. No student advisees are explicitly mentioned. Labs/Teams: Collaborates with interdisciplinary teams on projects like CampusPartner (mobility assistance) and POST (conference scheduling tool). Maintains an active research portfolio with over 20 publications spanning education technology, assistive systems, and HCI.

• Translation Studies
• Linguistics
• Media Accessibility
• +۳ مورد دیگر

Francesca Raffi is an Associate Professor of English Language and Translation at the University of Macerata (Italy) and Honorary Fellow at the University of Liverpool (UK). She holds a PhD in English for Special Purposes from the University of Naples 'Federico II' and has conducted research at institutions including the University of Roehampton (UK). Her academic career includes roles as Senior Assistant Professor (2020-2023) and Post-Doctoral Researcher (2018-2019). Research: Focuses on re(translation), linguistic/sensorial accessibility (including intersemiotic translation), and reception studies of translated media. Key projects include leadership of the UNITE project (AI-powered language learning) and participation in UPSKILLS (curriculum development for linguistics students). She has contributed to FACS (museum accessibility model) and InclusivOpera (cultural impact studies). Teaching: Teaches at undergraduate/graduate levels in Italy and abroad, including courses on audiovisual translation, media interpreting, and translation technologies. Supervised 187 theses across BA/Master's levels. Publications: Over 30 peer-reviewed articles and book chapters on topics like AI in education, subtitling pedagogy, and accessibility practices. Editor for BRIDGE: Trends and Traditions in Translation and Interpreting Studies and ECHO journal. Affiliations: Member of AIA, EST, IATIS, and SUBTLE. Involved in interdisciplinary initiatives bridging translation studies, technology, and cultural heritage preservation.

• Digital Storytelling
• Creative Writing Pedagogy
• Publishing Industry Studies
• +۳ مورد دیگر

Dr. David Devanny is an Associate Professor and Acting Head of Subject for Writing and Journalism at Falmouth University. He holds a PhD in Digital Literatures & Poetry Publishing (2019) and specializes in digital storytelling, creative writing pedagogy, and contemporary poetry. His research explores intersections of technology, publishing, and Gothic studies. He is a Fellow of the Higher Education Academy and has organized conferences such as Dark Economies and Haunted Landscapes . Education: BA (Hons) English Literature & Creative Writing (Warwick, 2010); MA Writing (Sheffield Hallam, 2012); PhD Digital Literatures (Falmouth, 2019) Research focuses on VR, AI, and digital education. Notable achievements include the New Media Writing Prize (2013) and exhibitions at venues like the Hatton Gallery and Terre Verte Gallery. He co-directs the Grammarsow Residency and serves as a trustee of the Charles Causley Trust. Teaches on Creative Writing, English, and Journalism programs. Supervises four PhD students in digital storytelling and Gothic studies. Active in literary communities through residencies and collaborative installations.

Will Hurstمشاهده پروفایل

دانشیار

• Data Science
• Extended Realities (XR)
• Critical Infrastructures
• +۷ مورد دیگر

Dr. Will Hurst is an Associate Professor in Data Science and Extended Realities at Wageningen University & Research's Information Technology Group. He holds a PhD in Computer Science (focused on Critical Infrastructures) and has over 100 international publications across data science, creative technologies, and critical infrastructure security. His research emphasizes XR applications in education, healthcare, and sustainability, alongside smart meter analytics and cybersecurity. Education: PGCert (Distinction) in Higher Education, MSc Web Computing, BSc Product Design Grants: EPSRC-funded 'Data Analytics for Health-Care Profiling using Smart Meters' and InnovateUK's Productivity Accelerator Research interests include digital twins, immersive learning technologies, and interdisciplinary hackathon methodologies. Recent work explores AR/VR in medical training, NFTs in art, and sustainable consumer behavior. Awards include recognition as an award-winning Reader in Creative Technologies at Liverpool John Moores University (2016-2022). Teaching includes courses on data visualization, digital game development, and advanced multimedia systems. Engages in active aging initiatives through co-design hackathons and community-based projects.

Maria del Mar Grandio Perezمشاهده پروفایل

استاد

• Transmedia Storytelling
• Media Literacy
• Digital Communication
• +۳ مورد دیگر

Maria del Mar Grandio Perez is a Professor at the Faculty of Communication and Documentation in the Department of Communication at the Universidad de Murcia . She earned her doctorate from the Universidad de Navarra in 2006 with a thesis on television audience experiences and entertainment concepts, focusing on the show Friends in Spain. Supervised by Dr. José Javier Sánchez Aranda, her academic career centers on audiovisual communication, media literacy, and transmedia storytelling. Educational Background PhD in Communication, Universidad de Navarra (2006) Her research explores the intersection of media literacy , transmedia narratives , and digital communication . Recent work examines algorithmic literacy in journalism, generative AI's impact on creative industries, and disinformation dynamics around vaccines on social networks. She has contributed to understanding audience reception in TV fiction, social media integration in education, and historical shifts in Spanish media consumption. Research Trends : Her publications from 2021–2025 reveal a focus on algorithmic bias in news, generative AI's role in creative work, transmedia audience engagement, and social media's influence on television. Key methodologies include audience reception studies, comparative transmedia analysis, and media literacy frameworks.

Gema Guevara-Rincónمشاهده پروفایل

استادیار

• French Language Teaching (FLE)
• Educational Technology
• Language Didactics
• +۶ مورد دیگر

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.

• Machine Learning
• Artificial Intelligence
• Deep Learning
• +۳ مورد دیگر

Amal Al-Shargabi is a Senior Lecturer in Data Analytics and Artificial Intelligence at the School of Computer Science and Informatics, part of the Faculty of Computing, Engineering, and Media at De Montfort University (UK). Previously, she served as an Associate Professor at Qassim University (Saudi Arabia). She holds a PhD in Information Technology and Quantitative Sciences from Universiti Teknologi MARA (UiTM), Malaysia, along with a Master's in Computer Science (awarded excellence) and a Bachelor's in Computer Science. Education: PhD in Information Technology and Quantitative Sciences, UiTM, Malaysia Master's Degree in Computer Science, UiTM, Malaysia Bachelor Degree in Computer Science Research Interests: Machine Learning, Artificial Intelligence (including Generative AI), Deep Learning, and their applications in real-world problems such as healthcare, education, and environmental management. She also explores empirical software engineering and data analytics. Research Trends in Publications: Her work focuses on AI-driven solutions for healthcare monitoring (e.g., elderly health), energy efficiency in arid climates, GAN-based generative models, and ethical AI in academia. Recent studies also address assistive technologies like Saudi Sign Language translation and Quranic speech recognition. Awards: Invention, Innovation and Design Exhibition (IIDX’16) Award, Malaysia (2016) Three Minute Thesis (3MT’16) Award, Malaysia (2016) Student-led projects under her supervision have won awards in Saudi Arabia, including Takaful and AI Challenge prizes. Advising & Grants: Research grants include projects on health monitoring via IoT, ethical considerations of ChatGPT/BARD, and solar panel energy optimization. Internally funded projects at Qassim University addressed noise pollution, COVID-19 diagnosis via AI, and job recommendation systems. Labs/Teams: Affiliated with the Institute of Artificial Intelligence (IAI) at DMU. Collaborates with institutions like Qassim University on interdisciplinary projects.

• Media Studies
• Literacy Education
• Pedagogy
• +۵ مورد دیگر

Prof. Dr. Gudrun Marci-Boehncke is a Professor in the Department of Cultural Studies at TU Dortmund University, specializing in media education, literacy promotion, and intercultural studies. Her research focuses on digital literacy, media pedagogy, children's literature, and the intersection of technology with educational practices. Her work emphasizes inclusive media education, the role of libraries in literacy initiatives, and the ethical implications of artificial intelligence in schools. She has collaborated on projects like Expert for Reading and KidSmart , aimed at enhancing media literacy in early childhood and primary education. Prof. Marci-Boehncke's publications span monographs, edited volumes, and peer-reviewed articles, addressing topics such as media convergence, digital participation, and the impact of media on cultural identity. Her international engagements include keynote speeches at conferences in Spain, the UK, and the US, reflecting her global influence in educational media studies.