جست‌وجوی استاد و پژوهشگر

Sarah Smithمشاهده پروفایل

دانشیار

• Audio Signal Processing
• Musical Acoustics
• Reverberant Signal Analysis
• +۳ مورد دیگر

Sarah Smith is an Associate Professor of Electrical and Computer Engineering at the Hajim School of Engineering & Applied Sciences, University of Rochester. She specializes in audio signal processing and musical acoustics, focusing on instrumental vibrato and reverberant signal analysis. Her instructional role includes teaching introductory audio engineering courses and project-based musical acoustics. Education: PhD in Electrical Engineering (University of Rochester, 2019); MA in Music, Science, and Technology (Stanford University’s CCRMA); BA in Physics and Music (Cornell University). Research interests include audio signal processing techniques for reverberant environments, vibrato analysis in musical instruments, and multichannel sound reproduction systems. Her work bridges engineering and music through projects like vibrato integration in artificial reverberation and room impulse response modeling. Publications emphasize practical applications of acoustic theory, including educational tools for audio engineering and advanced measurement techniques for multichannel systems. Her courses incorporate project-based learning strategies to engage students across academic disciplines.

• Maternity Care
• Public Health Midwifery
• Clinical Decision Making
• +۳ مورد دیگر

Associate Professor Catherine Nagle is an Honorary Professor at Deakin University's School of Nursing and Midwifery. A registered midwife and nurse, she leads research focused on improving maternity care safety and quality through three interconnected themes: Public Health Midwifery (addressing obesity, alcohol use, postpartum haemorrhage, breastfeeding), Clinical Outcomes Improvement (decision-making, clinical deterioration, physiological birth), and Women's Experience Enhancement (risk communication, consumer participation, informed decision-making). Education PhD in Medicine, Dentistry & Health Sciences, University of Melbourne (2007) Master of Public Health, Monash University (2000) Graduate Certificate in Diabetes Education, Deakin University (1995) Graduate Certificate in Midwifery, Monash Medical Centre (1995) Bachelor of Applied Science (Nursing Education), Phillip Institute of Technology (1990) Research Focus Her interdisciplinary work integrates clinical practice, public health, and health systems research. She investigates innovative approaches like electronic medical records and virtual reality to enhance care delivery, with emphasis on health equity for Aboriginal communities and reducing gender biases in medical education. Publication Trends Recent works demonstrate strong focus on technology integration in healthcare (34%), woman-centered care models (28%), and educational reforms (22%). Methodologically, qualitative designs dominate (47%), followed by scoping reviews (27%) and clinical trials (13%), reflecting commitment to evidence-based practice and policy impact. Grants & Leadership Leading $677K project developing national Midwife Standards for Practice (Australian Health Practitioner Regulation Agency, 2016-2017) $50K grant studying diabetes impacts on breastfeeding (Nurses Board of Victoria, 2016-2017) $44K research on clinical deterioration recognition in maternity care (Nurses Board of Victoria, 2012-2013) Supervises doctoral candidates in midwifery and maternal health outcomes

• Machine Learning
• Computer Vision
• Multimodal GenAI
• +۳ مورد دیگر

Xiatian Zhu is a Senior Lecturer at the University of Surrey's Faculty of Engineering and Physical Sciences, affiliated with the Surrey Institute for People-Centred AI and the Centre for Vision, Speech and Signal Processing (CVSSP). He holds a PhD from London and is a Fellow of the Higher Education Academy (FHEA). His research focuses on scalable machine learning, including self-supervised learning, multimodal GenAI, and computer vision applications for autonomous systems. Dr. Zhu's research interests span machine learning, computer vision, and multimodal generative AI, with emphasis on autonomous driving, 3D object detection, and domain adaptation. His work integrates vision-language models for open-set recognition and leverages novel neural architectures for real-time applications. His publications demonstrate a strong focus on autonomous driving perception, 3D generative modeling, and domain-agnostic AI. Key trends include multi-sensor fusion, self-supervised representation learning, and computationally efficient transformers. Recent works also explore audio-visual synthesis and adversarial robustness. Awards: 2016 Sullivan Doctoral Thesis Prize (Best UK Computer Vision Doctoral Thesis) He leads the X-Up Lab and collaborates extensively on grants related to AI safety, efficient 3D generation, and multimodal systems. His team focuses on real-world applications in intelligent transportation and human-centred AI.

Andrew Gilbertمشاهده پروفایل

دانشیار

• Computer Vision
• Machine Learning
• Generative Modelling
• +۶ مورد دیگر

Dr. Andrew Gilbert is an Associate Professor in Machine Learning at the University of Surrey, co-leading the Centre for Creative Arts and Technologies (C-CATS). His work bridges computer vision, generative AI, and creative industries, focusing on interpretable and human-centered systems. He leads a multidisciplinary team of 17 PhD students and has published over 100 papers in top venues like CVPR, ECCV, and BMVC. Education & Research: Gilbert earned his PhD in Computer Vision from the University of Surrey (2008) and has pioneered advancements in video understanding, style modeling, and AI-driven media production. His research integrates technical innovation with creative applications, such as AI-generated narratives and blockchain-based content rights. Research Trends: Recent work emphasizes long-term video analysis (DANTE-AD), motion-focused self-supervision (MOFO), and human-AI benchmarking (Human vs. Machine Minds). His projects often involve industry partnerships to address real-world challenges in media production and digital arts. Achievements: Best Paper at CVMP 2023, active BMVA committee member, and contributor to standards in explainable AI. His lab’s annual Gilbertine Weekend Away fosters collaborative research culture. Advising: Supervised 14 PhD completions, with ongoing projects in video diffusion models, decentralized content rights, and multimodal scene understanding. Seeks exceptional candidates for funded UK-based PhD opportunities. Key Labs: C-CATS lab explores AI’s creative applications, while his group develops tools for style transfer (NeAT), action recognition, and 3D performance capture.

Hallie Bahnمشاهده پروفایل

استادیار

• Interdisciplinary Art
• Animation
• Sculpture
• +۳ مورد دیگر

Hallie Bahn is an Assistant Professor in the Department of Art at the University of Massachusetts Amherst. She holds an MFA in Visual Studies from Minneapolis College of Art & Design (MCAD) and a BA in Studio Art from Kenyon College. Her interdisciplinary practice merges animation, sculpture, and installation to explore themes of environment, memory, and human interaction. Bahn’s work has been exhibited globally, including at the Weisman Art Museum, Marinaro Gallery, and the Museo Memoria y Tolerancia. She has received grants such as the Metropolitan Regional Arts Council’s Next Step Fund (2020) and the Ethel Morrison Van Der Lip Award (2019). Her research focuses on dissolving boundaries between digital animation and physical space, often using handcrafted materials like foam, clay, and LED lights. Notable works include Packed Lunch (2020), a mixed-media installation, and Model of Soo Line Dump (2022), an environmental diorama based on industrial site research. Bahn has taught at MCAD, the University of Minnesota, and the Perpich Center for the Arts, specializing in animation and interdisciplinary art. Awards: Arthur Motley Teaching Nomination (2020), 2nd Place Square Lake Film Festival (2019), Audience Choice Award (2019) Curatorial Work: Co-organized The Back of Beyond (2018) and creative workshops at institutions like the Walker Art Center Her projects frequently involve collaborative research, such as exploring the ecological history of Shoreham Yards (MN) and reimagining archival materials from the Metropolitan Museum of Art. Bahn’s work is featured in publications like In Studio Magazine and Hyperallergic .

Crescent Jicolمشاهده پروفایل

مدرس

• Virtual Reality
• Human-Computer Interaction
• Cognitive Science
• +۳ مورد دیگر

Crescent Jicol is a Lecturer in the Department of Computer Science at the University of Bath, specializing in Human-Computer Interaction. His research focuses on combining cognitive science with Virtual Reality (VR) to explore human factors influencing user presence and engagement. He leads the REal and Virtual Environments Augmentation Lab (REVEAL), an interdisciplinary group involving Computer Science and Psychology departments, and is an associate member of the Centre for the Analysis of Motion, Entertainment Research and Applications (CAMERA). His work emphasizes physiological sensing and personality computation to develop adaptive VR experiences. He has contributed to projects such as the Hyper-immersive eXtended Reality initiative funded by The British Academy and the EU-funded EMIL project, fostering pan-European collaboration in immersive media research. His research spans topics like emotion measurement in VR, cross-modal correspondences in deformable shapes, and the impact of social density on virtual workplace perception. Key collaborations include academic institutions and industry partners through CAMERA. His recent publications address innovative methods for VR emotion assessment, tangible interfaces in film pre-production, and XR innovation networks. Jicol’s work aligns with advancing immersive technologies while addressing human-centric challenges in virtual environments.

Yuankai Qiمشاهده پروفایل

مدرس

• Vision-and-Language for Robot Action
• Video Captioning
• Medical Image Processing
• +۸ مورد دیگر

Dr. Yuankai Qi is a Lecturer in Artificial Intelligence at Macquarie University's School of Computing and an Adjunct Lecturer at the Australian Institute for Machine Learning (AIML), University of Adelaide. His research focuses on Vision-and-Language for Robot Action, Video Captioning, Medical Image Processing, and Movie Dubbing. He holds a PhD from Harbin Institute of Technology, specializing in visual object tracking, and has won awards such as the DAVIS 2017 Challenge and CAAI Outstanding Doctoral Dissertation. He has published over 60 papers in top-tier venues like CVPR and NeurIPS, and serves as an Area Chair for NeurIPS, ICCV, and ICLR. His current projects include AI-enhanced CT image analysis and generative AI for banking solutions. Dr. Qi collaborates with the Data Horizons, Smart Green Cities, and Frontier AI Research Centres. He teaches COMP 3420 (AI for Text and Vision) and COMP 2250 (Data Communication). His work spans robotics navigation, medical imaging, and video anomaly detection, recognized globally as a Top 2% Scientist in 2024. Education: PhD (Harbin Institute of Technology, China) Key Awards: ACM Multimedia 2024 Best Paper Award, ICPR 2024 Best Student Paper Award Grants: Projects on AI in healthcare and banking (2024–2028) Labs/Teams: Data Horizons Research Centre, Smart Green Cities Research Centre

Bump Halbritterمشاهده پروفایل

دانشیار

• Literacy
• Writing Pedagogy
• Learning Theory
• +۵ مورد دیگر

Bump Halbritter is an Associate Professor of Rhetoric and Writing and Director of the First-Year Writing Program at Michigan State University, within the College of Arts and Letters. His work focuses on audio-visual writing integration in academic and scholarly contexts. He holds a Ph.D. and M.A. from the University of North Carolina at Chapel Hill, an M.A. from Indiana University of Pennsylvania, and a B.A. from Pennsylvania State University. Education: Ph.D., University of North Carolina at Chapel Hill M.A., University of North Carolina at Chapel Hill M.A., Indiana University of Pennsylvania B.A., Pennsylvania State University His research explores audio-visual rhetoric, documentary practices, and narrative inquiry. Notable contributions include the 2013 Richard Ohmann Award-winning article and the Distinguished Book Award-winning text on audio-visual pedagogy. He serves on the CCCC Executive Committee (2017–2019), advocating for writing program administration and multimodal literacy initiatives. His publications emphasize the intersection of technology and composition, with recurring themes in multimodal literacy practices, pedagogical innovation, and the role of sound and visual media in scholarly communication.

Mathieu Barthetمشاهده پروفایل

مدرس ارشد

• Music Information Retrieval
• Human-Computer Interaction
• Affective Computing
• +۵ مورد دیگر

Dr. Mathieu Barthet is a Senior Lecturer in Digital Media at Queen Mary University of London (School of Electronic Engineering and Computer Science). He leads research in Music Information Retrieval, Affective Computing, and Extended Reality (XR), with a focus on AI-driven musical interfaces and human-computer interaction. His work spans music emotion recognition, smart instruments, and participatory music systems. Education: MSc in Electronics & Computer Science (Paris VI University/Ecole Polytechnique de Montréal) MSc in Acoustics (Aix-Marseille II University/Ecole Centrale Marseille) PhD in Acoustics, Signal Processing & Computer Science applied to Music (Aix-Marseille II University/CNRS-LMA) Research: Over 100 peer-reviewed publications in fields like audiovisual interfaces, music recommendation, and AI ethics Key projects include the Internet of Musical Things (IoMT), AudioCommons, and mood-driven interactive systems Develops tools for music production collaboration (e.g., Open Symphony, Playsound.space) Grants & Collaborations: Lead on EU Horizon 2020 grants (IoMT, AudioCommons) Co-director of the EPSRC Centre for Doctoral Training in AI & Music Industry partnerships with companies like Music Tribe and Innovate UK Labs & Teams: Member of the Centre for Multimodal AI Conducts research through the Digital Music Lab (DML) initiative

Josef Kittlerمشاهده پروفایل

استاد

• Pattern Recognition
• Computer Vision
• Image Analysis
• +۵ مورد دیگر

Josef Kittler is a Professor at the University of Surrey, affiliated with the School of Computer Science and Electronic Engineering and the Centre for Vision, Speech and Signal Processing (CVSSP). He holds editorial roles in journals like IEEE Transactions on Pattern Analysis and Machine Intelligence and serves on the IAPR's KS Fu Prize Committee. His research focuses on pattern recognition, computer vision, and applications in system identification, medical diagnosis (ECG), and automatic inspection. He has received prestigious awards, including the Honorary Medal from the Czech Technical University. His work spans theoretical advancements and practical implementations, with notable contributions to multimodal tracking, deep learning, and fusion techniques. Education & Roles: Research Assistant, Engineering Department, University of Cambridge (1973–75) SERC Research Fellow, University of Southampton (1975–77) Royal Society European Research Fellow, Paris (1977–78) IBM Research Fellow, Balliol College, Oxford (1978–80) Principal Research Associate/Scientific Officer, Rutherford Appleton Laboratory (1980–85) Research Interests: Kittler's work emphasizes theoretical and applied aspects of pattern recognition, including computer vision applications in security, healthcare, and robotics. His recent publications address challenges in multimodal tracking, self-supervised learning, and fusion algorithms. Awards: Best Paper Awards from Pattern Recognition Society, British Machine Vision Association, and IEE Honorary Medal (Czech Technical University, 1995) Advising & Grants: While specific student/advisor details aren’t listed, his leadership in CVSSP and editorial roles indicates extensive mentorship and collaborative projects. His research has been supported by grants enabling advancements in AI and computer vision. Labs & Teams: He leads the CVSSP, a world-renowned center for vision, speech, and signal processing research, fostering interdisciplinary projects in AI and multimedia systems.

Paul Gardnerمشاهده پروفایل

مدرس ارشد

• Educational Psychology
• Research Methods Teaching
• Critical Reasoning Skills
• +۳ مورد دیگر

Paul Gardner is a Senior Lecturer in the School of Psychology and Neuroscience at the University of St Andrews. He holds a unique career trajectory, having worked as a coal miner apprentice before pursuing higher education in Psychology, Sociology, and Philosophy at Sunderland University. His professional journey includes roles in mental health and anti-racism research before joining St Andrews in 1992, where he transitioned to a permanent role and secured promotions. His research focuses on pedagogy, critical reasoning development, and science communication, with extensive outreach activities at science festivals and community events. He serves as External Examiner at the University of Glasgow and actively contributes to academic networks like the British Association for the Advancement of Science. Gardner has led projects such as the Advanced Quantitative Methods Network (AQMeN) and received grants for initiatives like audio feedback in assessments and extension policy reviews. His work aligns with UN SDGs related to quality education and reducing inequalities.

Janice Chenمشاهده پروفایل

استادیار

• Cognitive Neuroscience
• Memory Science
• Temporal Dynamics
• +۴ مورد دیگر

Janice Chen is an Assistant Professor in the Department of Psychological & Brain Sciences at Johns Hopkins University, affiliated with the Krieger School of Arts & Sciences. Her research focuses on understanding how real-world memories are constructed and retrieved, using advanced neuroimaging and behavioral methods. Her work emphasizes the interplay between sensory input and mnemonic systems across multiple timescales, particularly during naturalistic experiences like movie viewing and narrative recall. Chen's education includes a PhD in Psychological & Brain Sciences. She leads a lab investigating topics such as neural coding of social interactions, temporal dynamics of memory, and cross-modal processing in blind individuals. Her lab employs fMRI, EEG, and behavioral experiments to map brain activity patterns during perception and recall. Current projects explore how causal structures in narratives shape memory organization, and the role of gaze behavior in linking visual perception to memory retrieval. Key contributions include developing datasets like 'Sherlock' and 'Film Festival,' widely used in cognitive neuroscience research. Her team collaborates on analyzing shared neural responses across individuals during narrative comprehension and transmission. She advises a diverse group of postdoctoral researchers and graduate students in cognitive and computational neuroscience. Chen's lab is not currently recruiting but maintains active research collaborations. Findings emphasize the brain's shared representational structures during memory recall, suggesting systematic neural reorganization from perception to memory storage.

Mehdi Elahiمشاهده پروفایل

استاد

• Artificial Intelligence
• Data Analytics
• Recommender Systems
• +۷ مورد دیگر

Mehdi Elahi is a Professor at the University of Bergen (UiB), affiliated with the Department of Information Science and Media Studies . With a Ph.D. in Computer Science, he has published over 100 peer-reviewed papers and co-invented a US patent in Recommender Systems. As a Work Package Leader in the MediaFutures project (NOK 300M budget, 8-year duration), he collaborates with Norwegian media giants and global companies like Spotify and XING. Research Interests : AI and Data Analytics, focusing on industrial applications in Recommender Systems, algorithmic fairness, and media technology. His work addresses challenges like popularity bias, cold start problems, and integrating visual/audio features into recommendation algorithms. Article Trends : His recent publications emphasize responsible AI , popularity bias mitigation , visual feature integration , and hybrid recommendation models . Key collaborations include Amazon, TV 2, and the Research Council of Norway . Scientific Awards : Prestigious research credits from Amazon Advising : Supervised 7+ theses on topics like news recommendation , movie analytics , and food RS . Key advisees include Vanessa Haaland (2024), Sebastian Bergh (2023), and David Olsen (2022). Projects : Leads MediaFutures, a large-scale initiative with industry-academia partnerships.

Diana Dalyمشاهده پروفایل

دانشیار

• Social Media
• Digital Culture
• Qualitative Research Methods
• +۳ مورد دیگر

Diana Daly serves as the Associate Dean for Undergraduate Academic Affairs and Student Success, and is an Associate Professor of Practice at the University of Arizona's College of Information Science. She leads Student Affairs teams and oversees academic programs while also directing the iVoices Media Lab since 2020, focusing on media production and student collaboration. Her research explores pedagogy, participatory culture, qualitative methods, and digital media's societal impacts, particularly around disinformation and trust in information systems. Dr. Daly’s academic background includes a fellowship with the Center for University Education and Scholarship (CUES), recognizing her excellence in teaching and scholarship. Her work emphasizes open educational practices, governance frameworks for digital resources, and the intersection of technology with cultural dynamics. She has contributed to advancing digital literacy through publications and initiatives addressing misinformation, media activism, and community-driven projects like Arizona’s All Souls Procession. Awarded for her instructional innovation, Daly’s interdisciplinary approach bridges information science, education, and cultural studies. Her research spans social media ecosystems, digital archiving, and student-centered methodologies, with a focus on fostering inclusive and ethical uses of technology in education and public discourse.

• Contemporary Music
• Experimental Music
• Music Technology
• +۵ مورد دیگر

John Godfrey is a Professor in the Department of Music at University College Cork (UCC), where he has been since 1992. He is a specialist in contemporary art music, focusing on composition, performance, and experimental music. As founder and director of Quiet Music Ensemble, he explores improvised and experimental soundscapes. His research interests include spectral soundscapes, music technology, and interdisciplinary collaboration. Godfrey has been a key member of renowned ensembles like Icebreaker and Crash Ensemble, performing globally. He teaches composition, performance, and music technology, supervising PhD students in composition and digital arts. His work has been broadcast internationally and released on labels like Cantaloupe and Decca Argo. Research & Awards Recipient of multiple grants from the Arts Council of Ireland, Culture Ireland, and others. Organized major festivals and events, including Sonic Vigil and the Cage Centenary celebrations. Published extensively in compositions, sound installations, and collaborative projects. Labs/Teams Founder and director of Quiet Music Ensemble (experimental music); core member of Crash Ensemble (New Music); co-founder of Icebreaker (UK-based ensemble).