جست‌وجوی استاد و پژوهشگر

Umberto Famulariمشاهده پروفایل

استادیار

• Multimedia Storytelling
• Digital Media Analysis
• Visual Communication
• +۵ مورد دیگر

Umberto Famulari is an Assistant Professor of Visual Communication at the Department of Journalism & Media Communication, Colorado State University. He holds a Ph.D. in Media and Communication from Indiana University, Bloomington (2022), an M.A. from Royal Holloway University, London, and a B.A. from the University of Milan, Italy. His research focuses on the intersection of multimedia storytelling, digital media, and political communication. Key areas include multimodal mediated representation's impact on audiences, multi-platform storytelling strategies, and the effects of visual-textual combinations on political attitudes and engagement. He examines how visual and verbal modes in digital media influence public perception of migrants, political candidates, and social policies. Recent work analyzes cross-national news framing of political candidates, visual migration policy coverage, and criminal trial reporting in U.S. digital news. His research emphasizes understanding the interplay between media systems, visual strategies, and audience responses in global contexts. No scientific awards or grants are explicitly listed in the provided materials. No lab affiliations or teams are mentioned in the text.

Lin Weisiمشاهده پروفایل

استاد

• Artificial and Augmented Intelligence
• Computer Science and Engineering
• Electrical and Electronic Engineering
• +۵ مورد دیگر

Prof. Lin Weisi is an Associate Dean (Research) and Professor at the College of Computing & Data Science, Nanyang Technological University (NTU). He holds the President's Chair in Computer Science and is a Fellow of IEEE and IET. His research focuses on image processing, video compression, multimedia communication, and AI-driven applications. He has authored over 400 refereed papers, holds 16 patents, and contributed to international standards. Notable contributions include the COVID-19 Test Strip Reader and databases like the Retargeted Image Subjective Quality Database . He leads the ROSE Lab and has supervised numerous students and researchers globally. His awards include Fellowships from SIET and excellence recognitions in China and Singapore. Educational Background: B.Sc./M.Sc. (Electronics/Digital Signal Processing, Sun Yat-Sen University), Ph.D. (Computer Vision, King’s College London). Research Interests: Perception-based modeling, neural network compression, AI for environmental monitoring, and perceptual quality assessment. His work bridges academic research and industrial deployment, emphasizing practical applications. Grants & Projects: Managed over 10 major projects in digital multimedia, including collaborations with institutions like the Institute for Infocomm Research and Tencent. Current initiatives include lightweight deep learning for image processing and AI-driven climate monitoring. Awards & Honors: Recognized as a Chartered Engineer, Honorary Fellow of SIET, and recipient of prestigious awards in China and internationally.

Sanda Harabagiuمشاهده پروفایل

استاد

• Natural Language Processing
• Medical Informatics
• Artificial Intelligence for Public Health
• +۳ مورد دیگر

Dr. Sanda Harabagiu is the Research Initiation Chair Professor in the Department of Computer Science at The University of Texas at Dallas (UTD), affiliated with the Erik Jonsson School of Engineering and Computer Science. Her expertise spans natural language processing, medical informatics, and artificial intelligence for public health. She holds dual doctorates in Computer Engineering (University of Southern California, 1997) and Electrical Engineering and Computer Science (University of Rome, 1994), alongside a diploma in Computer Science from the Polytechnic Institute of Bucharest (1983). Her research focuses on advancing technologies for medical data analysis, including automatic extraction of actionable insights from radiology reports and EEG records. Notable projects include the Multimedia Vaccine Informatics System for analyzing social media discourse on vaccines and the development of AI tools for clinical decision support. She has led interdisciplinary collaborations through the Human Language Technology Research Institute (HLTRI), established in 2002 to pioneer advancements in human language processing. Dr. Harabagiu’s honors include the 2019 AMIA Distinguished Paper Award and the 2017 Homer Warner Award. Her work bridges computational linguistics with healthcare, emphasizing applications in public health communication, misinformation detection, and clinical informatics. She has contributed to over 150 publications and served on numerous editorial and organizing committees for conferences such as ACL, AAAI, and AMIA. Education: Ph.D., Computer Engineering, University of Southern California, 1997 Doctorate, Electrical Engineering and Computer Science, University of Rome, 1994 Diploma, Computer Science and Engineering, Polytechnic Institute of Bucharest, 1983 Awards: 2019 AMIA Distinguished Paper Award 2017 Homer Warner Award 2000 NSF CAREER Award 1991-1993 Fondazione Ugo Bordoni Research Award Her research also addresses social media analysis for public health, including frameworks to detect vaccine hesitancy and misinformation. Current projects involve leveraging large language models (LLMs) and multimodal data to understand communication patterns in health-related discourse. She has advised students like Travis Goodwin, contributing to impactful work in clinical informatics and AI ethics.

Usman Naseemمشاهده پروفایل

مدرس

• Natural Language Processing
• Multimodal Analysis
• Social Computing
• +۷ مورد دیگر

Dr. Usman Naseem is a Lecturer in Computing at Macquarie University’s School of Computing, Australia. Previously, he held academic roles at James Cook University and research fellowships at the University of Sydney and the University of South Australia. He earned his PhD in Computer Science from the University of Sydney and has over 10 years of industry experience in technical and leadership roles. Research Interests: NLP, multimodal analysis, and social computing, with focuses on socially aware methods for applications like cyber informatics, online sarcasm/opinion mining, low-resource language processing, and health informatics. He actively contributes to top-tier venues like ACL, EMNLP, and SIGIR. Grants & Awards: Recipient of the IEEE Transactions Best Paper Award (2022), DAAD AINet Fellowship (2023), and the Rising Star in AI Fellowship. His research has been funded by grants including Macquarie University’s MQRAS and Data Horizons initiatives. Recent Activities: Leads projects on combating AI-generated misinformation (VaxGuard grant), and has published extensively on topics like health misinformation detection, multimodal learning, and bias mitigation in AI systems. He is currently recruiting PhD and Master’s students in NLP, multimodality, and AI for social good. Labs & Collaborations: Affiliated with Macquarie’s Data Horizons Research Centre, Future Communications Research Centre, and Frontier AI Research Centre. Collaborates internationally on health informatics, social media analysis, and AI ethics.

• Computer Vision
• Computer Graphics
• Machine Learning
• +۴ مورد دیگر

Dr. Marc Habermann is a Tenured Senior Researcher and Scientific Manager of the Real Virtual Lab at the Max Planck Institute for Informatics (Department 6: Visual Computing and Artificial Intelligence). He leads the Graphics and Vision for Digital Humans research group, focusing on cutting-edge technologies in Computer Vision, Computer Graphics, and Machine Learning. His work emphasizes real-time human performance capture, photorealistic animation synthesis, and generative 3D human models derived from video data. Research Interests: Computer Vision, Computer Graphics, Machine Learning, Human Performance Capture, Non-Rigid Deformation Reconstruction, Neural Rendering, and Motion Capture. His contributions span topics like Gaussian splats optimization, sparse-view avatar synthesis, and physics-based cloth simulation. Awards: Saarland University Associate Fellow (2025) Key Publications (2025): Second-order Optimization of Gaussian Splats with Importance Sampling (arXiv) GIGA: Generalizable Sparse Image-driven Gaussian Avatars (arXiv) EVA: Expressive Virtual Avatars from Multi-view Videos (Siggraph 2025) Labs & Projects: Manages the Real Virtual Lab and heads the Graphics and Vision for Digital Humans group, advancing technologies for digital human avatars and immersive telepresence systems.

Tianyang Huمشاهده پروفایل

استادیار

• Statistical Machine Learning
• Representation Learning
• Deep Generative Modeling
• +۷ مورد دیگر

Tianyang Hu is a postdoctoral researcher at the National University of Singapore, set to join the Chinese University of Hong Kong, Shenzhen as an Assistant Professor in Fall 2025. His academic journey includes a PhD in Statistics from Purdue University under Prof. Guang Cheng, an M.S. in Statistics from the University of Chicago, and a B.S. in Mathematics from Tsinghua University. PhD in Statistics, Purdue University M.S. in Statistics, University of Chicago B.S. in Mathematics, Tsinghua University His research lies at the intersection of statistics and artificial intelligence, focusing on statistical machine learning, representation learning, and deep generative modeling . He is particularly interested in the theoretical foundations of AI, including diffusion models, large language models (LLMs), and overparametrized neural networks. His recent work explores the duality between prompting and fine-tuning, contrastive learning mechanisms, and efficient sampling in generative models. The trends in his recent publications show a strong emphasis on diffusion models , especially in conditional generation, sampling efficiency, and integration with language models. His work spans both theoretical analysis and practical algorithm design, with applications in image generation, 3D modeling, and multimodal reasoning. He has contributed to understanding the behavior of in-context learning in transformers and the role of regularization in deep networks. His scientific achievements include: Spotlight presentation at NeurIPS 2023 Spotlight presentation at NeurIPS 2022 Oral presentation at ICML Workshop 2025 Tianyang Hu is actively building his research group and is seeking PhD/MPhil students and research assistants with strong theoretical and practical AI skills. He has held research positions at Huawei Noah’s Ark Lab and is currently mentored by Prof. Kenji Kawaguchi at NUS. His work has been supported by collaborations across academia and industry, though specific grants are not listed in the text. While no formal lab name is mentioned, his future group at CUHK-Shenzhen is expected to focus on theoretical AI and generative models , with research directions in LLMs, diffusion models, and representation learning.

Marina Rodosthenous-Balafaمشاهده پروفایل

دانشیار

• Greek Renaissance Literature
• Petrarchism
• Neoplatonism
• +۷ مورد دیگر

Marina Rodosthenous-Balafa is an Associate Professor of Modern Greek Literature and Teaching Literature at the University of Nicosia, serving as Head of the Department of Education. She holds a PhD from the University of Cambridge, with research focused on Greek Renaissance Literature, Petrarchism, and Cultural Literacy. Her work bridges literary analysis with educational practice, emphasizing multimodal texts and cultural diversity. Education: BA (Byzantine and Modern Greek Studies) University of Cyprus; MA (Modern Greek Studies) King’s College London; PhD (Early Modern Greek Literature) University of Cambridge. Research interests include Greek Renaissance literature, comparative literature, and pedagogical approaches to teaching literature across ages. Notable projects include the DIALLS initiative promoting cultural literacy through dialogue and the PIVOT project on inclusive education. She has authored/co-authored over 48 publications, including studies on Cypriot Renaissance poetry and wordless picturebooks. Her articles explore themes like visual literacy in children’s books, paradox in Cretan literature, and the intersection of art and poetry in works like Erotokritos . She actively contributes to academic societies such as the Hellenic Open University and the Renaissance Society of America.

Mathias Ropohlمشاهده پروفایل

استاد

• Chemistry Education
• Science Education
• Formative Assessment
• +۷ مورد دیگر

Prof. Dr. Mathias Ropohl is a University Professor for Chemistry Education at the Faculty of Chemistry, University of Duisburg-Essen, a position he has held since 2017. Previously, he served as a Junior Professor for Chemistry Education at the Leibniz Institute for Science and Mathematics Education (IPN) in Kiel from 2013 to 2017. His academic career is grounded in both rigorous research and practical teaching experience, including prior roles as a secondary school teacher in chemistry and geography. Current Affiliation: Professor of Chemistry Education, Faculty of Chemistry, University of Duisburg-Essen Previous Roles: Junior Professor at IPN Kiel; Secondary School Teacher Education: Doctorate in Chemistry, University of Duisburg-Essen (2010); Teaching Certification in Chemistry and Geography His research focuses on formative assessment in inquiry-based learning, media use in science education, and the optimization of learning opportunities for pre-service and in-service chemistry teachers. He employs empirical and design-based research methods to improve diagnostic practices, feedback mechanisms, and teacher training curricula. His work emphasizes coherence in science instruction and the integration of digital tools in education. The 15 most recent publications reflect a strong trend in educational diagnostics, teacher feedback, inquiry learning, and curriculum design. Key themes include the use of digital learning ladders, adaptive learning tasks, conceptual strand maps, and strategies for inclusive science education. These works span journals and edited volumes in chemistry education, science teaching, and educational psychology, highlighting interdisciplinary and practical applications. Scientific and Academic Service Contributions: Chair (since 2025) and board member (since 2023) of the Interdisciplinary Center for Educational Research (IZfB) Board member of the Center for Teacher Education (ZLB) since 2022 Member of the Senate Commission for Teaching, Studies and Continuing Education (2021–2022) Deputy Chairman of the Examination Board for Chemistry/Biotechnology Teacher Training since 2019 Member of the Faculty Council of the Faculty of Chemistry since 2018 Strand Chair at ESERA (2018–2022), Member of NARST International Committee (2020–2022) Ropohl actively leads and participates in national and international research projects such as CoSMaS, FLaME, FinChen, DECoSTE, PICoSTE, and OER@IPN. These projects focus on improving teacher education, developing formative assessment tools, and enhancing science instruction through coherence and technology. He supervises research teams and collaborates across institutions to bridge research and classroom practice. He has no explicitly listed PhD or master’s students in the provided text but collaborates extensively with researchers and educators. His leadership in academic service and curriculum development underscores his role as a key figure in German and international science education communities.

Stace Constantinouمشاهده پروفایل

مدرس ارشد

• Popular Music
• Music Composition
• Electronic Music
• +۱۶ مورد دیگر

Dr Stace Constantinou is a Senior Lecturer in Popular Music and Programme Leader for the Popular Music course at the University of Northampton, affiliated with the Centre for Cultural and Literary Studies within the Culture school. He holds a PhD from Kingston University and is actively engaged in creative research, supervision, and public engagement. PhD, Processes of creative patterning: a compositional approach, Kingston University (2015) His research centers on the intersection of music, technology, and artificial intelligence. He explores AI through programmatic electronic music, develops analytical tools for popular song, and investigates the adaptation of mathematical symmetry into digital signal processing. His creative work emphasizes spatial sound, immersive performance, and the materiality of the audio-object within DAW environments. Key themes include musical creativity, novelty, patterns, and the philosophical implications of AI in music. His recent creative outputs form a thematic arc exploring AI, rebellion, and human identity, most notably through The SAPIAN Trilogy and Rebel-Misfit . These works blend electronic composition with narrative depth, often inspired by thinkers like Zylinska, Bostrom, and Kurzweil. His publications and compositions reflect a consistent focus on sound as a medium for knowledge exchange and conceptual exploration. His scientific recognition includes the Ricordi Prize for Best Composition and the Schillinger Composition Prize. Ricordi Prize for Best Composition Schillinger Composition Prize He supervises two practice-based PhD students: Gemma Boaden, exploring hybrid voice practices for actors, and Michael W. Bell, researching experiential soundtracks using spatial audio technologies. He has secured internal funding for the LIPSY: Live Immersive Performance Soundscape project (2024–2025), demonstrating active grant involvement. His work extends to public engagement through podcasts, radio programs, and exhibitions with the Royal Society of Arts. Dr Constantinou is actively involved in a creative research lab focused on immersive and spatial sound, leading the LIPSY project. His work is inherently collaborative, involving partnerships with artists, film directors, and institutions like Resonance FM, Angel Studios, and The Podcast Company.

Lim Mei Kuanمشاهده پروفایل

مدرس ارشد

• Computer Vision
• Machine Learning
• Smart Manufacturing
• +۴ مورد دیگر

Lim Mei Kuan is a Senior Lecturer at the School of Information Technology, Monash University Malaysia. She holds a PhD in Computer Vision from Universiti Malaya and has conducted post-doctoral research in Artificial Intelligence. Her career includes roles as a researcher at MIMOS Berhad (2004-2007) and visiting researcher at Kingston University (2012-2013). Education: BSc (First Class Honours) in Computer Science, Universiti Malaysia Sarawak (2007) PhD in Computer Vision, Universiti Malaya (2015) Research Interests: Her work spans computer vision, machine learning, and their applications in smart manufacturing and digital health. Current projects include social media analytics for mental health monitoring, anomaly detection in manufacturing, and collaboration on clinical teletherapy systems. She actively explores swarm intelligence and deepfake detection technologies. Grants & Collaborations: DELTA: Inclusive Teletherapy (2022-2024) ADSM: Anomaly Detection for Smart Manufacturing (2022-2023) Sense-ED: Eating Disorder Relapse Detection (2021-2022) Awards: ITEX 2022 Silver Award for Self-Mind mental health app Labs & Teams: Active contributor to interdisciplinary projects with industry partners, focusing on AI-driven solutions for healthcare and manufacturing sectors.

• Natural Language Processing
• Machine Learning
• Deep Learning
• +۵ مورد دیگر

Derry Wijaya is an Associate Professor in the Data Science program at Monash University, Indonesia, specializing in natural language processing with a focus on multilingual applications, machine translation, and large language models. Her research bridges computational linguistics with social applications, examining how language technologies can address challenges in low-resource language settings. Her research interests center on natural language processing, with particular expertise in machine learning applications for multilingual contexts. Wijaya investigates how well-annotated languages can improve translation of less-documented languages, and explores the use of images, related tasks, data augmentation, and large language models to enhance representation and translation for languages with limited training data. Her work demonstrates strong interdisciplinary connections between technical NLP research and real-world social applications. Analysis of her recent publications (2023-2025) reveals a research trajectory that spans core NLP methodologies while increasingly incorporating social media analysis, policy applications, and cross-cultural communication challenges. Her work shows particular strength in addressing low-resource language challenges while maintaining relevance to Indonesian and global contexts, with notable publications examining climate change perception among Indonesian youth and comparative water quality issues between Indonesia and the United States. Wijaya maintains active research collaborations across multiple institutions, with numerous co-authored publications addressing diverse applications of NLP from public health communication to political discourse analysis. Her research demonstrates consistent productivity, with significant output in top computational linguistics venues.

• Special Education
• Neuroeducation
• Inclusive Teaching Methodologies
• +۵ مورد دیگر

Giuseppa Compagno , Associate Professor at the University of Palermo (UNIPA), specializes in Psychological, Pedagogical, Physical Exercise and Training Sciences . Her teaching includes Special Education , Intercultural Didactics , and Game Teaching . Research Focus: Neuroeducation, inclusive methodologies, teacher training, and docimological tools. Key Projects: #UNOPERUNO (inclusion/jobs), SOSAC (accessibility), Mind in Mind Lab (assessment). Recent Publications highlight neurodidactic approaches to evaluation, intercultural teaching, and game-based learning for inclusivity. She emphasizes integrating Brain Gym and Habits of Mind into teacher competence frameworks.

Michael Rinnمشاهده پروفایل

استاد

• Rhetorical Analysis
• Genocide Studies
• Humanitarian Communication
• +۵ مورد دیگر

Michael Rinn is a Professor of French Linguistics at Université de Brest, affiliated with the Heritage and Creation in Text and Image research laboratory (HCTI, EA 4249). His academic work spans rhetorical analysis, genocide studies, humanitarian communication, and African discourse studies. Research interests focus on rhetorical analysis of hate speech , genocide testimonies , and humanitarian communication , particularly examining emotional manipulation in discourse, post-jihadist narratives in Francophone Africa, and digital radicalization. His methodology combines critical discourse analysis with multimodal approaches to dissect ideological emprise in political and humanitarian contexts. Scientific contributions include analyzing the rhetoric of AIDS campaigns in Africa, hate propaganda on the internet, and narratives of terrorism. His publications reveal consistent engagement with how language constructs reality in crisis situations, from Rwandan genocide testimonies to contemporary jihadism. Rinn actively participates in international conferences on genocide prevention, discourse analysis, and political communication, presenting at venues including the International Association of Genocide Scholars and specialized symposiums on rhetoric and radicalization. His work bridges theoretical linguistics with urgent humanitarian and political concerns.

Daniela Merollaمشاهده پروفایل

استاد

• Berber-Amazigh Studies
• African Literature
• Comparative Literature
• +۷ مورد دیگر

Daniela Merolla is a University Professor at INALCO (Paris) specializing in Berber literature and art since 2016. She directs the LACNAD research unit, focusing on the interdisciplinary intersection of comparative literature and anthropology within African and Amazigh-Berber studies. Institution: Institut National des Langues et Civilisations Orientales (INALCO) Research Themes: Berber Literary Space, Amazigh Cinema, Digital Oral Literature Her research examines Berber oral, written, and multimedia genres across the Maghreb and European diaspora. She pioneered the digital series Verba Africana at Leiden University, documenting African oral literatures through audiovisual media. Recent publications (2020-2025) emphasize: Amazigh cinema’s transnational evolution Hybridity in Berber literary spaces Digital preservation of African oral traditions Colonial legacies in North African humanities She teaches master’s seminars on Amazigh cinema (fiction/documentary) History of Saharan literary studies Interdisciplinary approaches to African literature at INALCO. LACNAD Research Unit under her leadership explores: Aurès and Kabylie fieldwork Amazigh internet cultural production Cross-media literary analysis

Andrea Rösslerمشاهده پروفایل

استاد

• Literary Didactics
• Spanish and Latin American Youth Literature
• Vocabulary Didactics
• +۵ مورد دیگر

Prof. Dr. Andrea Rössler is a leading academic at Leibniz University Hannover, serving in the Romanesque Seminar under the Faculty of Philosophy . With a focus on Spanish and Latin American youth literature , her work spans vocabulary didactics , intercultural competence , and language mediation in foreign language education. She has contributed extensively to audiovisual media and foreign language policy , emphasizing the professionalization of foreign language teachers . Her research projects include the development of intercultural competence standards for teachers, exploration of language mediation as an innovative skill , and leadership in the Leibniz Principle initiative to enhance practical teaching phases. She co-edits the series Romance Foreign Language Research and Teaching Development and has published widely in journals like Der fremdsprachliche Unterricht Spanisch and FLuL . Recent publications highlight trends in digital vocabulary learning , audiovisual text comprehension , and social media-based literary genres . Her editorial work includes anthologies on contemporary women's literature and multimedia teaching resources . She actively participates in academic networks, including the German Society for Foreign Language Research and the Hispanists Association .