جستجوی استاد راهنمای دانشگاهی

Charlotte Wendtمشاهده پروفایل

استاد

• Didactics of the German language
• Foreign language didactics
• Digital media
• +۳ مورد دیگر

Charlotte Wendt is a researcher and academic at Leuphana Universität Lüneburg specializing in the didactics of the German language, foreign language didactics, and digital media. She is associated with the Department of German Language Instruction and has established herself as a prominent researcher in language education within vocational settings. Her research interests include: Didactics of the German language Foreign language didactics Digital media in language education Writing instruction in linguistically heterogeneous classrooms Teacher attitudes toward digital writing tools Language learning support in vocational education Dr. Wendt's work primarily examines how digital tools can effectively support writing instruction in multilingual vocational classrooms. Her research shows a clear progression from theoretical principles to practical implementation, with recent work focusing on developing concrete teaching concepts for digitally supported German lessons. She has conducted extensive empirical research, including questionnaire studies across Hamburg and Lower Saxony, to understand teachers' perspectives and practices regarding digital writing tools. Her scholarly output demonstrates strong thematic coherence across publications, with consistent focus on the intersection of digital technology, language instruction, and vocational education. The research shows particular attention to practical applications that can directly benefit educators working with linguistically diverse student populations. Dr. Wendt has received significant recognition for her work, most notably the 1st place poster prize from the Society for Applied Linguistics (GAL) in 2021. She has also served in leadership roles such as heading the poster section of GAL 2022. She is actively engaged in multiple research and teaching projects, including 'Language learning support 2024' and 'Digitally supported practice in subject lessons: Competent teachers — individualized learning processes (CODIP).' Her collaborative work, particularly with Astrid Neumann, demonstrates a strong research network focused on advancing language education in vocational contexts.

Avery Slaterمشاهده پروفایل

دانشیار

• Twentieth-Century American Literature
• Digital Literature and New Media Studies
• Environmental Humanities
• +۳ مورد دیگر

Avery Slater is an Associate Professor at the University of Toronto, specializing in Twentieth-Century American Literature and Critical Theory. She teaches courses such as ENG250Y American Literature and ENG372H Critical Theory and AI , with a focus on global literature, computational technologies, and ecocriticism. She is affiliated with the Schwartz Reisman Institute for Technology and Society and serves on the Executive Committee of the MLA's Digital Humanities Forum. Education: BA, University of Washington MPhil, University of Cambridge MA, Cornell University PhD, Cornell University Her research examines how information technologies reshape human and nonhuman language, with a book project Apparatus Poetics analyzing mid-20th-century poets' engagement with computation and machine translation. She has held fellowships at Cornell's Society for the Humanities and the University of Texas at Austin, and contributes to the Brill series Studies in the Lyric . Scientific Awards: Society for the Humanities Fellowship (Cornell) University of Texas at Austin Fellowship Slater's recent publications bridge AI, literature, and environmental studies. She advises graduate students and collaborates with interdisciplinary teams, exploring intersections of technology, trauma, and ecological crisis.

Heather R Hennesمشاهده پروفایل

استاد

• Latin American Literature
• Women's Studies
• Cultural Studies
• +۵ مورد دیگر

Dr. Heather R. Hennes is Professor of Spanish and Director of the Latin American and Latinx Studies Program at Saint Joseph's University in Philadelphia. She specializes in the representation of iconic women in Latin American literature, film, and political discourse, with particular focus on historical figures like Manuela Sáenz, Juana Azurduy, and the Mirabal Sisters. Her educational background includes: PhD in Spanish from Florida State University MA in Spanish from Florida State University BA from John Carroll University Dr. Hennes' research centers on the complex myths surrounding iconic women of Latin American history and their representation across various media. Her work examines how figures like Manuela Sáenz have been portrayed and politicized throughout history, particularly focusing on gender performance, national identity formation, and the intersection of personal and political narratives. She has made significant contributions to understanding how these historical women have been memorialized and instrumentalized in contemporary political contexts. Her publications demonstrate a consistent focus on Latin American women's representation, with particular emphasis on the Independence era and revolutionary movements. Her most recent work includes the 2022 translation and critical edition of Minou Tavárez Mirabal's letters, highlighting resistance during the Trujillo dictatorship in the Dominican Republic. Her scholarship spans literary analysis, film studies, cultural history, and pedagogical approaches to teaching Latin American culture. Dr. Hennes has collaborated on translation projects and interdisciplinary research, including work on urban space in Latin America and approaches to incorporating current events into language education. While specific grant information isn't detailed in the provided materials, her research output suggests ongoing scholarly engagement with Latin American studies and women's representation.

• Educational Psychology
• Cognitive Psychology
• Learning Sciences
• +۲ مورد دیگر

Lisa C. Whitfield is a Teaching Professor and Department Chair in the Psychology Department at Santa Clara University's College of Arts and Sciences. Her academic work focuses on educational psychology and learning sciences, particularly self-regulated learning and instructional design. Research trends in her publications show expertise in study strategies, online learning effectiveness, and textbook technology supplements. Key themes include metacognition, cognitive load theory, and the integration of digital tools in psychology education. Her laboratory and team affiliations are not explicitly detailed in the provided texts, though her leadership role as Department Chair suggests administrative responsibilities alongside teaching-focused research.

• Deep Learning
• Medical Multimedia
• Explainable AI
• +۵ مورد دیگر

Steven Hicks is a Senior Research Scientist in the Holistic Systems department at Simula Metropolitan. His work focuses on applying artificial intelligence techniques to medical and multimedia applications, with particular emphasis on explainability and transparency in AI systems. Dr. Hicks' research spans multiple domains including medical imaging, particularly in gastrointestinal endoscopy and reproductive medicine. His primary interests include Deep Learning , Medical Multimedia , Explainable AI , and Computer Vision . His work has significant applications in polyp detection, sperm analysis, ECG interpretation, and medical image segmentation, contributing to advancements in diagnostic accuracy and clinical decision support systems. Analysis of Dr. Hicks' recent publications reveals a strong focus on medical applications of AI with emphasis on transparency and explainability. His work frequently addresses challenges in gastrointestinal endoscopy, reproductive medicine, and cardiology. A notable trend is his involvement in creating benchmark datasets like Kvasir-VQA and VISEM-Tracking, and organizing challenges through MediaEval and ImageCLEF to advance the field of medical AI and establish standardized evaluation frameworks. Dr. Hicks actively collaborates with medical professionals and researchers across multiple institutions, contributing to the development of practical AI solutions for real-world medical problems. His work bridges the gap between theoretical AI research and clinical applications, with significant contributions to both technical innovations and the creation of essential resources for the medical AI community.

• English literature
• Shakespeare Studies
• Early Modern Drama
• +۴ مورد دیگر

Yu Umemiya is an Associate Professor at Waseda University's School of Humanities and Social Sciences, specializing in English literature with a focus on Shakespeare, textual studies, and intercultural adaptation. He holds degrees from Waseda University (BA, MA, PhD) and the University of Birmingham (MA in Shakespeare Studies). Current positions: Associate Professor (2025-present) Past roles: Part-time Lecturer at multiple Japanese universities His research explores Shakespeare's works through textual analysis, adaptation studies, and performance theory. He examines how translations and cross-cultural interpretations reshape dramatic elements, particularly in Macbeth and The Tempest . Key publication trends include: Early Modern drama textual evolution Censorship mechanisms in Elizabethan theater Intercultural translation strategies Performance pedagogy innovations Professional engagements: Executive Committee member of The Japan Society of English Usage and Style Editorial committee roles Member of British Shakespeare Association

• Japanese Language Education
• Phonetic Education
• Second Language Acquisition
• +۳ مورد دیگر

Dr. Naoko Kinoshita is an Associate Professor at Waseda University's Center for Japanese Language , with affiliations also extending to the Global Education Center . Her career spans over two decades of research and practice in Japanese language education, phonetic acquisition, and learning advising systems. She serves on multiple academic committees including the Phonetic Science of Japan and Society of Japanese Speech Communication . Major Research Areas : Japanese language education, phonetic education, second language acquisition, language learning advising Key Sub-Fields : Japanese pronunciation pedagogy, collaborative community development, autonomous learning systems, multicultural workplace training, special mora instruction, rhythmic pattern analysis Her recent research focuses on pattern language applications for multicultural workplaces and web-based pronunciation systems like "Tsutaeru Hatsuon". The 15 most recent publications span topics from collaborative community development to phonetic learning mechanisms, with keywords showing consistent emphasis on Japanese phonology, language technology, and cross-linguistic rhythm studies. Scientific Awards : e-Teaching Award Good Practice Prize (2021) Waseda Teaching Award (2020) Waseda e-Teaching Award (2019) e-Teaching Award (2015) As lead author on multiple refereed papers, she has developed innovative phonetic learning frameworks and multilingual educational tools . Her work bridges theoretical phonetics with practical language instruction, particularly focusing on visual and kinesthetic learning methods for Japanese rhythm acquisition.

• English Language Arts Education
• Textual Literacy
• Curriculum Development
• +۱۲ مورد دیگر

Kristine Gritter is a Professor in the Department of Curriculum and Instruction at Seattle Pacific University's School of Education, where she has worked since 2007. Her academic focus on textual discussions in English language arts classrooms emphasizes student text-to-self connections and popular culture integration. B.A. in English Education, Calvin College (1991) M.S. in Curriculum and Instruction, Florida International University (1996) Ph.D. in Curriculum and Instruction, Michigan State University (2007) Her research explores critical literacy, multimodal texts, and culturally responsive teaching, particularly through graphic novels and young adult literature. Recent publications examine translingual writing, sustainability education, and gender representation in children's media. Selected scientific awards include: the Column of the Year Award (2019) for "Not Everyone's Darling": Censorship and Knowledge Construction in Habibi. She teaches children’s literature, secondary English methods, and reading/writing strategies for both undergraduate and graduate students.

Steve Wilsonمشاهده پروفایل

استادیار

• Natural Language Processing
• Computational Social Science
• Information Literacy
• +۸ مورد دیگر

Steve Wilson is an Assistant Professor in the Department of Computer Science, Engineering, and Physics at the University of Michigan-Flint, within the College of Innovation and Technology. He holds a PhD in Computer Science & Engineering from the University of Michigan and has previously served as an Assistant Professor at Oakland University and held postdoctoral positions at the University of Edinburgh and the University of Michigan. PhD | 2019 | University of Michigan | Computer Science & Engineering M.S. | 2015 | University of Michigan | Computer Science & Engineering B.Sc. | 2013 | Taylor University | Computer Science/Systems His research focuses on understanding online communication through Natural Language Processing, with emphasis on social context, information literacy, social media narratives, and educational applications. His work bridges computer science, psychology, and social informatics to analyze human behavior in digital environments. The most recent publications highlight a strong trend in using NLP for social good, including detecting misinformation, analyzing educational discourse, improving AI ethics, and understanding social dynamics such as sarcasm, offensive language, and user profiling. His work frequently appears in top venues like ACL, EMNLP, ICWSM, and SemEval, often in collaboration with leading researchers such as Rada Mihalcea and Walid Magdy. MWIN Faculty Innovation Fellow | 2025 | UM-Flint’s Office of Economic Development and EDA University Center for Community and Economic Development UM-Flint Proposal Academy Awardee | 2025 | University of Michigan-Flint Office of Sponsored Research Projects Steve Wilson is the Principal Investigator (PI) on multiple funded research projects, including a National Science Foundation CRII grant on social media framing and an internal UM-Flint grant on AI in STEM education. He co-investigates an NSF REU site on Home Health Technology. He leads the CoCoA Lab at UM-Flint, which focuses on computational analysis of communication and context. He mentors graduate students and is actively involved in developing new courses, including a recent offering in Natural Language Processing.

• Linguistics
• Educational Technology
• English Linguistics
• +۴ مورد دیگر

Akira Morita is a Professor of English at Waseda University's Faculty of Commerce (School of Commerce). With a career spanning over three decades at Waseda University, he has progressed from Assistant Professor to his current position as full Professor. His academic work focuses on English language education, linguistics, and educational technology, with particular expertise in Standard English and its pedagogical implications. Dr. Morita received his Master of Arts from Waseda University's Graduate School, Division of Letters, following undergraduate studies in the Department of English Literature at Waseda University's Faculty of Literature. His educational background laid the foundation for his extensive research in English linguistics and language education. His research interests center on Language Education (English), History of English, Standard English, and Educational Technology. Morita has conducted significant investigations into how Standard English is perceived by both students and faculty in British universities, examining the authority and social implications of linguistic standards. His work bridges theoretical linguistics with practical language teaching methodologies, particularly in the context of Japan's evolving English education landscape. Analysis of Morita's publication record reveals a clear trajectory from early work on computer-assisted language learning and multimedia educational technologies to more recent research on parental involvement in elementary English education and the development of teaching materials considering diversity and gender. His scholarly output demonstrates consistent engagement with how technological advancements and social changes impact English language education across different educational levels. Among his notable achievements: Associate Scholar at Pembroke College, Cambridge (2019) Senior Fellow at Xi'an Jiaotong University's School of Management (2017) Visiting Scholar at Pembroke College, Cambridge and Hertford College, Oxford Professor Morita has led numerous significant research projects, including the Development of EFL Teaching Methods to Foster Global Leaders (2015-2018) and Data Analysis of Parents' Involvement in Primary-School English Language Education (2009-2011). His work has been supported by prestigious funding bodies including the Japan Society for the Promotion of Science. He has also contributed to the development of authorized MEXT textbooks for Japanese high schools. At Waseda University, Morita directs the Institute for Digital Enhancement of Cognitive Development and teaches a variety of courses including English Linguistics, Academic Writing, and The Culture and Language of Iceland. His research institute focuses on leveraging digital technologies to enhance language learning and cognitive development.

Marc C-Scottمشاهده پروفایل

دانشیار

• Media and Communication
• Television Studies
• Media Policy and Regulation
• +۶ مورد دیگر

Associate Professor Marc C-Scott serves as Deputy Associate Dean of Learning and Teaching at Victoria University's College of Arts, Business, Law, Education and IT. He chairs the Bachelor of Screen Media and Bachelor of Animation and Visual Effects programs and co-leads postgraduate Block Teaching courses. A prominent media commentator, Marc contributes to national discussions on Australian television, media policy, and sports broadcasting through television, radio, and publications. Marc's academic qualifications include: PhD from CQUniversity Australia Bachelor of Design (Multimedia) with Honors from an Australian institution Marc's research focuses on media and communication, with expertise in television studies, media policy, and sports broadcasting rights. He examines the historical and contemporary shifts in television, the impact of streaming on media consumption, and the pedagogical innovations of the Block Model. His work addresses critical issues in Australian media, including local content regulation and the evolving viewing behaviors of young audiences. His recent publications (2024-2025) concentrate on enhancing the Block Model for media education, assessment strategies, and professional development. Earlier works (2016-2020) analyze television history, sports media rights, and digital piracy. A unifying thread is the transformation of media landscapes in the streaming era, with emphasis on Australian contexts and educational applications. Marc supervises Masters and PhD students in Creative Arts, History, Language and Communication, and Education. His leadership in the VU Block Model® Professional Learning program reflects his commitment to educational innovation, though specific grant details are not provided.

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

Dr. Min Xu is a Professor at the School of Electrical and Data Engineering (SEDE) within the Faculty of Engineering and Information Technology at the University of Technology Sydney (UTS). She leads the Visual and Aural Intelligence Laboratory at UTS's Global Big Data Technologies Centre (GBDTC). Her research focuses on multimedia, computer vision, and machine learning, with recent emphasis on machine learning algorithms for data analytics, computer vision applications, and CV/RF integrated sensing for healthcare and smart homes. Education: Doctorate of Philosophy, University of Newcastle, Australia Master of Computing, National University of Singapore Bachelor of Engineering, University of Science and Technology of China Dr. Xu has authored over 250 publications in top-tier venues like IEEE T-PAMI and CVPR, secured over $5M in research funding since 2018, and holds editorial roles at IEEE Transactions on Multimedia and Neurocomputing. Her work bridges theory and application, addressing challenges in multi-modality data fusion, personalized services, and affective computing. Key Contributions: Pioneer in multimedia affective/semantic analysis and multi-modality fusion Developed frameworks for privacy-preserving cross-domain recommendation and WiFi-based human tracking Recipient of ARC Future Fellowship (2018–present) She supervises PhD and Master’s students and teaches courses including Image Processing and Cloud Computing. Current projects emphasize AI-driven healthcare solutions and multimodal AI search engines.

Chua Tat Sengمشاهده پروفایل

استاد

• Multimedia Information Retrieval
• Social Media Analytics
• Unstructured Multimodal Data Analytics
• +۴ مورد دیگر

Professor Chua Tat Seng is a distinguished academic at the National University of Singapore's School of Computing, serving as KITHCT Chair Professor and Director of the NUS-Tsinghua Extreme Search Center (NExT). He also holds Distinguished Visiting Professorships at Tsinghua and Zhejiang Universities in China. PhD in Computer Science (University of Leeds, 1983) Founding Dean of School of Computing (1998-2000) Co-founded ViSenze and 6Estates technology startups His research focuses on unstructured multimodal data analytics, with particular emphasis on multimedia information retrieval, social media analytics, recommendation systems, and trustworthy AI. He has pioneered work in computational wellness and fintech applications, establishing the Lab for Media Search and leading NExT++ research initiatives. Over 300 publications in leading venues (CVPR, SIGIR, WWW, AAAI) Recipient of ACM SIGMM Technical Achievement Award (2015) Supervised 37 PhD students since 2004 Editorial leadership in ACM Transactions and IEEE Multimedia Recent work explores multimodal LLMs, knowledge editing techniques (AlphaEdit), and 3D generation frameworks, reflecting his commitment to advancing web intelligence and user empowerment.

Chau-Wai Wongمشاهده پروفایل

دانشیار

• Machine Learning
• Multimedia Forensics
• Signal and Image Processing
• +۵ مورد دیگر

Chau-Wai Wong is an Associate Professor in the Department of Electrical and Computer Engineering at North Carolina State University, with affiliations to the Forensic Sciences Cluster and Secure Computing Institute. He previously served as a Data Scientist at Origin Wireless, Research Assistant at University of Maryland, and Research Associate at Hong Kong Polytechnic University. His work bridges machine learning with applications in multimedia forensics, signal processing, and computational social science. Ph.D. , Electrical Engineering, University of Maryland (2017) M.Phil. , Electronic and Information Engineering, Hong Kong Polytechnic University (2010) B.Eng. , Electronic and Information Engineering, Hong Kong Polytechnic University (2008) Research spans federated learning (security vulnerabilities, communication efficiency), physically unclonable features (PUF-based authentication), generative models (GANs for hardware modeling), and computational social science (AI chatbots for disaster communication, TikTok behavioral analysis). Recent work explores neural tangent kernels and multi-LLM agent collaboration . Key publications focus on decentralized AI systems (ICML'25), deepfake detection (under review), and social media health analytics (Telematics and Informatics'25). His federated learning research has appeared at ICLR, IEEE T-NNLS, and USENIX Security. NSF CAREER Award IEEE Signal Processing Cup Organizer (2016) Technical Program Committee Chair (IH&MMSec'25) Area Chair (ICME'21–'24) Senior Member, IEEE Advises students in AI security , physiological sensing , and social science automation . Collaborates with teams at University of Maryland, Hong Kong Polytechnic University, and industry partners. Current projects include identity-privacy protection for smart health and UAV-assisted network optimization (IEEE DySPAN'25).

Shiqi Wangمشاهده پروفایل

دانشیار

• Semantic and Visual Communication
• AI Generated Content Management
• Information Forensics and Security
• +۳ مورد دیگر

Shiqi Wang is an Associate Professor in the Department of Computer Science at City University of Hong Kong. He holds a Ph.D. from Peking University (2014) and a B.Sc. from Harbin Institute of Technology (2008). His career includes postdoctoral and research roles at the University of Waterloo, Nanyang Technological University, and Microsoft Research Asia. He specializes in semantic/visual communication, AI content management, and image/video quality assessment. Education: Ph.D. in Computer Application Technology (2014), Peking University B.Sc. in Computer Science and Technology (2008), Harbin Institute of Technology Research focuses on Large Visual-Language Models (LVLMs) , Generative Face Video Coding , and Information Forensics . Recent work includes video coding innovations, AI-driven quality assessment, and bias mitigation in facial analysis. Awards include the IEEE Multimedia Rising Star Award (2021) , NSFC Excellent Young Scientist Fund (2020) , and multiple best paper awards at IEEE conferences. He serves as Associate Editor for IEEE Transactions on Image Processing and leads MPEG standardization efforts for generative video coding. Professional activities include TPC roles at ICML, CVPR, and ACM Multimedia. His lab actively collaborates on standards for generative AI and multimedia systems, with a focus on ethical AI and cross-domain applications.