جست‌وجوی استاد و پژوهشگر

• Sports Science
• Sports Injury Prevention
• Biomechanics
• +۷ مورد دیگر

Anna Lina Rahlf is an Assistant Professor in the Department of Sports Science at Europa-Universität Flensburg, where she has been employed since October 2021. She previously held a postdoctoral researcher position at the University of Hamburg (2020–2021) and was a PhD student and research associate at Friedrich Schiller University Jena (2014–2020). Her academic foundation includes a Master’s degree in Human Movement Science from Universität Hamburg (2011–2014). Europa-Universität Flensburg – Assistant Professor (Sports Science), 2021–present University of Hamburg – Postdoctoral Researcher (Institute of Human Movement Science), 2020–2021 Friedrich Schiller University Jena – PhD Student and Research Associate (Sports Science), 2014–2020 Universität Hamburg – Master’s in Human Movement Science, 2011–2014 Her research centers on sports injury prevention, biomechanics, and neuromuscular training, with a focus on youth athletes, running-related injuries, chronic ankle instability, and the impact of physical activity during public health crises. She investigates how factors like sex, biological maturity, footwear, and training duration influence injury risk and functional performance. Her work integrates clinical trials, systematic reviews, and meta-analyses to advance evidence-based practice in sports medicine and rehabilitation. The 15 most recent publications reflect a strong trend toward methodological rigor in sports injury research, including the development of quality assessment tools (e.g., QA-SIVAS scale), machine learning applications for injury prediction, and high-level synthesis of global data on physical activity during the pandemic. Her studies frequently employ biomechanical analysis, randomized controlled trials, and meta-analytic techniques, positioning her at the intersection of clinical science, data analysis, and preventive sports medicine. While no formal scientific awards are listed in the provided text, her contributions to peer review for journals such as Sports Medicine and Sportwissenschaft highlight her engagement with the academic community. Dr. Rahlf has not published a list of advisees, but her collaborative research suggests active mentorship and interdisciplinary teamwork. She has contributed to grant-funded and multicenter studies, particularly in rehabilitation and injury prevention. Though no specific lab or research team is named, her work implies participation in structured research groups focused on human movement science and sports medicine.

• Digital Signal Processing
• Biomedical Engineering
• Audio Processing
• +۷ مورد دیگر

Rafik Goubran is a Professor in the Department of Systems and Computer Engineering at the Faculty of Engineering and Design, Carleton University. He holds the distinguished title of Chancellor’s Professor and currently serves as the Vice-President (Research and International). He earned his Ph.D. from Carleton University and is a licensed Professional Engineer (P.Eng.). His research expertise spans digital signal processing, biomedical engineering, audio processing, and the development of smart environments for senior independent living, with applications in patient monitoring, sensor systems, and real-time analytics. Dr. Goubran's recent publications highlight a strong focus on applying machine learning and sensor technologies to healthcare challenges, particularly in gerontechnology. His work involves non-invasive monitoring of sleep apnea, cognitive decline, driving behavior in older adults, and ambient health monitoring using smart homes and IoT systems. He explores innovative methods such as using pressure mats, audio analysis, and video magnification for vital sign detection and behavioral assessment. Life Fellow, IEEE Fellow, Canadian Academy of Engineering (CAE) Chancellor’s Professor, Carleton University Dr. Goubran has co-supervised 24 Ph.D. and 72 Master’s students and has secured significant research funding from NSERC, CIHR, NCE, and OCE for projects related to aging, health monitoring, and smart technologies. He is the co-leader of the TAFETA project and was the founding Director of the Ottawa-Carleton Institute for Biomedical Engineering. His work involves extensive collaboration with institutions like the Bruyère Research Institute and industry partners such as QNX and BlackBerry. He leads a research lab focused on technology-assisted environments, developing systems for patient monitoring, fall detection, and cognitive assessment, contributing significantly to the field of assistive and ambient intelligence for healthcare.

John Turnerمشاهده پروفایل

دانشیار

• Operations Research
• Optimization
• Revenue Management
• +۷ مورد دیگر

John Turner is an Associate Professor of Operations and Decision Technologies at the Paul Merage School of Business, University of California, Irvine. His research applies rigorous optimization methods to real-world problems in advertising, healthcare, sports, and environmental policy. He teaches management science and operations courses, notably in the Master of Business Analytics program. PhD, Operations Research, Tepper School of Business, Carnegie Mellon University MSc, Operations Research, Tepper School of Business, Carnegie Mellon University B.Math. Honors Operations Research Co-op, University of Waterloo John Turner’s research spans several high-impact domains. He specializes in revenue management, large-scale optimization, online advertising allocation (particularly guaranteed targeted display advertising), sports scheduling under disruptions, healthcare logistics (including trauma center and air ambulance location), and environmental policy. His methodological contributions include deep Benders cuts and Gini-based ad allocation. His work integrates predictive and prescriptive analytics to solve complex decision problems. His most recent publications (2022–2024) reflect a strong trend in methodological innovation in optimization (e.g., deepest cuts in Benders decomposition) and novel applications in sports analytics and advertising. The research consistently appears in top journals like Operations Research and Manufacturing & Services Operations Management , indicating sustained scholarly impact in operations research and management science. INFORMS George B. Dantzig Dissertation Award (2011) Yahoo! Faculty Research & Engagement Scholar (2012) INFORMS William Pierskalla Best Paper Award in Health Care Management Science (2014) Lave-Weil Prize for Best Working Paper on Problem Solving (2012) Junior Faculty Research Award, Merage School (2017) Multiple CORCL Awards (2011, 2017, 2018, 2019, 2021, 2023) Turner has served as an Associate Editor for Operations Research and has received consistent teaching awards, especially for his instruction in the core Management Science course for the Master of Business Analytics program. While specific grant details are not listed, his CORCL awards and industry collaborations (e.g., with a large retailer on carrier selection) suggest active research funding and practical engagement. His doctoral thesis on ad slotting and pricing laid the foundation for his later work in digital advertising. John Turner leads research in optimization-based decision technologies, with active projects in sports analytics, advertising, and healthcare logistics. His lab or research group focuses on developing algorithms and models that bridge theory and practice, often in collaboration with industry partners. Future work appears to center on dynamic systems, contextual bandits, and further refinement of decomposition methods.

• Computer Vision
• Image Processing
• Photometric Stereo
• +۱۲ مورد دیگر

Vasileios Argyriou is an academic researcher affiliated with Kingston University, with extensive contributions in computer vision, image processing, and AI applications in IoT, healthcare, and smart agriculture. His work spans photometric stereo, motion estimation, federated learning, and UAV-based remote sensing. Research Interests: His research focuses on developing advanced computer vision techniques including photometric stereo for 3D reconstruction, deep learning for anomaly detection, federated learning for privacy-preserving AI, and AI-driven solutions for smart farming and healthcare. He explores motion estimation, facial recognition, and synthetic data generation for training robust models. The recent publications (2024–2025) highlight a strong trend toward applying machine learning in real-world systems—particularly federated learning for intrusion detection, UAV-based agricultural monitoring, 5G security, and medical imaging. His work integrates computer vision with IoT, wireless communications, and edge computing, demonstrating interdisciplinary innovation. Scientific Contributions: Author of a book on image and video registration with quality metrics. Extensive publication record in top journals including IEEE Transactions, Sensors, and Pattern Recognition. Pioneering work in photometric stereo, motion estimation using phase correlation, and GAN-based face reenactment. He has advised or collaborated with numerous researchers across fields, though specific student names are not listed. His work often involves large-scale data analysis, simulation frameworks, and real-time systems. He is involved in projects related to smart cities, precision agriculture, and autonomous systems. Laboratories and Teams: His collaborations suggest involvement with research groups focused on intelligent systems, computer vision, and IoT at Kingston University and beyond, particularly with Panagiotis Sarigiannidis, Thomas Lagkas, and others in networking and AI.

• Human Resource Management
• International HRM
• Change Management
• +۷ مورد دیگر

Tiru Madahar is a Lecturer in Human Resource Management at the Faculty of Business and Creative Industries, University of South Wales. With over 15 years of experience in higher and further education across the UK, UAE, and India, Dr. Madahar is a student-focused academic committed to excellence in teaching and research in HRM and business studies. Education: PhD in Human Resource Management – A comparative study of career choices among management students in UK and India MBA with dual specialization in HRM and Marketing MSc in Commerce Postgraduate Certificate (PGCert) in Higher Education, University of South Wales Dr. Madahar's research interests center on international HRM, change management, and the integration of digital technologies in HR practices and pedagogy. Their teaching includes core modules such as HRM Context and Challenges (BA) and Leading and Managing People (MSc), along with supervision of undergraduate and postgraduate dissertations. The body of research includes publications on e-HRM, e-procurement, flexible work arrangements, and digital communication, showing a consistent focus on the evolving role of technology in organizational and educational contexts. Recent work also explores innovative teaching methods, such as video case studies for enhanced student engagement. Professional Activities: Chair, Advance HE (Professional Body Membership), June 2024 – present Dr. Madahar is actively engaged in curriculum development and learner engagement across diverse student populations. There is no mention of research grants or PhD students supervised in the provided text. Their work reflects a strong commitment to both academic scholarship and practical application in modern business education.

• Physical Education
• Educational Methodologies
• Gender Studies
• +۴ مورد دیگر

Concepción Ros Ros is a Professor at the Catholic University of Valencia San Vicente Mártir, with an affiliation to the University of Valencia. Her primary area of expertise is Theory and History of Education. She has authored over 40 journal articles, contributed to 43 collective works, and published 6 books. Her research focuses on physical education pedagogy, gender representation in textbooks, educational methodologies, and the integration of technology in learning. She has directed 13 doctoral theses, mentoring students in topics ranging from sports science to inclusive education. Key research interests include analyzing stereotypes in educational materials, gamification in pedagogy, and the physical health of musicians. Ros Ros has collaborated extensively on projects addressing curriculum development, teacher training, and the sociocultural dimensions of education. Her work spans interdisciplinary areas like neuroeducation, digital competence, and the role of video games in education. She has pioneered studies on motor stories for children with disabilities and the cognitive resilience of police defense protocols. Ros Ros actively engages in educational innovation, including flipped learning and the application of AI in teaching methods. Her contributions to academic discourse emphasize evidence-based practices and equitable educational strategies.

Paris Alexandros Lalousisمشاهده پروفایل

مدرس

• Artificial Intelligence/Machine Learning
• Translational Research
• Neuroimaging
• +۶ مورد دیگر

Dr. Paris Alexandros Lalousis is a Lecturer in Artificial Intelligence in Mental Health at King's College London's Institute of Psychiatry, Psychology & Neuroscience (IoPPN), based in the Department of Psychosis Studies. He holds a BSc (Hons) in Psychology from the University of Wales and a MSc in Brain Imaging & Cognitive Neuroscience from the University of Birmingham, followed by a joint PhD from the University of Birmingham and University of Melbourne. His research focuses on applying AI techniques to improve understanding of mental health disorders, particularly in psychosis, depression, and neurodegenerative diseases like dementia and Parkinson’s. He leads the Artificial Intelligence in Mental Health (AIM) lab, collaborating internationally to develop machine learning solutions for clinical challenges. Key achievements include NIH-funded work on psychosis prediction and contributions to transdiagnostic biomarker identification. He has won awards such as the Virtual Consultancy Challenge with the Centre for Mental Health and has engaged in public outreach through events and media, including a YouTube video on mental health research. Education: BSc Psychology (University of Wales), MSc Brain Imaging (University of Birmingham), PhD (Birmingham-Melbourne). Research interests span AI in translational psychiatry, neuroimaging, inflammation biomarkers, and youth mental health. His lab’s projects include treatment response prediction, identifying biological subtypes of mental disorders, and developing tools like the KAALI algorithm for job acceptance likelihood in mental health patients. Publications highlight work on brain aging, psychiatric diagnostic frameworks, and machine learning applications in mental health. He emphasizes translating data science into clinical practice, addressing challenges like overfitting and model validation in psychiatric research.

• Digital Photogrammetry
• Computer Vision
• Geospatial Imaging
• +۱۰ مورد دیگر

Dr. Jackson David Cothren is a Professor in the Department of Geosciences at the University of Arkansas, where he also serves as the Leica Geosystems Chair in Geospatial Imaging. He holds dual leadership roles as Director of the Center for Advanced Spatial Technologies (CAST) and the Arkansas High Performance Computing Center (HPCC). His academic affiliations are deeply rooted in geospatial science, computer vision, and high-performance computing, bridging engineering and environmental applications. Ph.D. in Geodetic Science and Surveying, The Ohio State University M.S. in Geodetic Science and Surveying, The Ohio State University B.S. in Applied Mathematics, United States Air Force Academy Dr. Cothren's research spans digital photogrammetry, computer vision, UAV-based geospatial monitoring, and spatial archaeometry. He investigates non-traditional sensor modeling, feature extraction, surface generation, and integration with enterprise geospatial systems. His work increasingly incorporates deep learning, transformer models, and AI-driven analytics for applications in renewable energy, autonomous systems, and environmental sustainability. His recent publications highlight innovations in solar PV profiling, aerial image segmentation, and fairness-aware domain adaptation. The trends in his recent scholarly output reflect a strong shift toward machine learning and AI in geospatial analysis, particularly using transformer architectures for high-resolution imaging and cross-domain adaptation. His work integrates Lidar, GPS, and InSAR for deformation monitoring and leverages HPC for large-scale data processing. Applications span archaeology, agriculture, transportation, and energy infrastructure. Dr. Cothren has received numerous competitive grants from NSF, NEH, and USDA, supporting interdisciplinary research in geospatial analytics, smart transportation, and cultural heritage. His projects emphasize data-driven decision-making, community engagement, and workforce development in geospatial technologies. Principal Investigator, NSF E-RISE Rll: Arkansas Smart Transportation Research Incubator (2025–2029) Lead, RII Track-1: DART – Data Analytics that are Robust and Trusted (NSF, 2020–2025) Director, OPEN-GATE: Expanding Geospatial Education (NSF, 2016–2020) He mentors a broad interdisciplinary team and leads collaborative research initiatives involving computer vision, environmental science, and archaeology. His labs and research centers—CAST and HPCC—serve as hubs for innovation in spatial technologies, high-performance computing, and data-intensive research across the university and beyond. These centers support large-scale projects in archaeo-geophysics, UAV monitoring, and enterprise GIS integration.

Eric Laurierمشاهده پروفایل

استاد

• Ethnomethodology
• Conversation Analysis
• Mobility Studies
• +۱۱ مورد دیگر

Eric Laurier is Professor and Personal Chair of Geography & Interaction at the University of Edinburgh's School of Geosciences, actively supervising PhD students and leading internationally recognized research in social interaction studies. Education PhD, University of Wales (awarded 1996) Research Focus : Grounded in ethnomethodology and conversation analysis, Laurier investigates the micro-organization of everyday social practices across public spaces, mobility contexts, and technological interfaces. His work examines how people collaboratively accomplish tasks in settings ranging from traffic intersections to film editing suites, with emphasis on video-based documentation of overlooked social details. Core themes include assistive technologies, wayfinding, cross-cultural driving practices, small talk in service work, and human-animal interaction. Recent Scholarship : Current publications (2022-2024) demonstrate methodological innovation in video analysis while exploring canine-human pedagogy, political encounters in public space, and institutional uses of small talk. His research bridges geographical inquiry with conversation analytic rigor, revealing how social order emerges through embodied practices. Research Leadership Principal Investigator: Blue Futures project (2025-2030) on sea-swimming experiences and seaside place-making Principal Investigator: ESRC-funded Digital Geographies of Assistance-Dog-Human Partnerships (2022-2023) Co-Investigator: Comic Book Praxis project and Children and Internet of Things research Teaching & Networks : Laurier teaches advanced ethnography courses including Key Methods in Geography and The Art of Listening. He co-founded the Scottish Ethnomethodology, Discourse, Interaction and Talk group (SEDIT) and coordinates the Mobility Studies of Interaction (Mobsin) European Network, connecting 14 institutions across Europe.

Bo Sophia Xiaoمشاهده پروفایل

استاد

• Responsible Information Systems
• Responsible AI
• Human-Computer Interaction
• +۵ مورد دیگر

Bo Sophia Xiao is a Professor of Information Technology Management at the Shidler College of Business, University of Hawaii at Manoa, where she currently serves as Chair of the Department of Information Technology Management. She holds the prestigious title of Shidler College Distinguished Professor and has established herself as a leading scholar in information systems research with publications in top-tier journals including Journal of the Association for Information Systems, Information Systems Research, and Management Information Systems Quarterly. Her academic credentials include a PhD in Management Information System from the University of British Columbia, an MSc in Information Management from Arizona State University, and an M.TESOL from Arizona State University. Professor Xiao's research primarily focuses on responsible information systems, particularly responsible AI design frameworks that address ethical challenges in artificial intelligence. Her work explores human-computer interaction and collaboration, digital platforms, and health information systems, with particular attention to how technology can be designed to maximize benefits while minimizing potential harms. She investigates psychological and social aspects of technology use, including cyberbullying behaviors, crowdsourcing dynamics, and digital health applications. Her research often employs both quantitative and qualitative methods to provide nuanced insights into complex human-technology interactions. Her recent publications (2018-2025) demonstrate a significant shift toward ethical AI research, with multiple 2025 publications specifically addressing responsible AI design frameworks, infrastructure, and implementation. This represents an evolution from her earlier work on product recommendation agents, online trust, and cyberbullying, while maintaining her consistent interest in human-technology interaction. Her research increasingly addresses interdisciplinary concerns at the intersection of technology, ethics, and human behavior. 2023: Shirley M. Lee Research Senior Award, Shidler College of Business 2022-Present: Shidler College Distinguished Professor 2017-2022: Shidler College Distinguished Associate Professor 2018: Highly Commended Paper in Internet Research, Emerald Literati Award 2015: Distinguished Paper Award at International Conference on e-Commerce 2012: Best Paper Award at International Conference on e-Commerce Professor Xiao has actively supervised numerous doctoral students at both Hong Kong Baptist University and the University of Hawaii at Manoa, serving as principal advisor, co-supervisor, and committee member. She has held significant editorial roles including Associate Editor for MIS Quarterly and Internet Research, and has served on multiple editorial boards. Her service to the academic community extends to conference organization, including serving as Conference Program Co-Chair for PACIS 2023 and multiple Track Co-Chair positions at major information systems conferences. While specific lab names aren't mentioned in the available information, Professor Xiao leads a productive research group focused on responsible AI and human-computer interaction, with extensive collaborations particularly with Kaveh Abhari, Andrea Rivera, and Yee Man Wong across multiple publications spanning cyberbullying, crowdsourcing, and responsible AI research.

• Educational Technology
• Blended Learning
• Online Pedagogy
• +۵ مورد دیگر

Robert Morris Gray Jr. is an Associate Professor at the University of Bergen's Department of Education, affiliated with the UiB Learning Lab and co-leading the Teaching and Learning in Higher Education (TeLEd) research group. His work focuses on transforming pedagogical practices through digital innovation and critical educational frameworks. Research Interests: Dr. Gray explores the intersection of technology and pedagogy, specializing in blended learning environments, meaningful interaction design, and digital assessment frameworks. His innovative Writerly Framework reconceptualizes learning as an interpretive act, drawing from literary theory to enhance student engagement. Additional research examines social justice in digital competence frameworks and pandemic-induced educational transformations. Publication Trends: Gray's recent work demonstrates a strong focus on theoretical frameworks for digital pedagogy (Writerly Framework), critical analyses of educational technology policy, and empirical studies of pandemic-era teaching adaptations. His publications consistently address transformative approaches to assessment, online interaction design, and discipline-specific pedagogical innovations in medicine and higher education. Projects & Grants: HyComm: AI-Enriched Hyflex Learning Community (Erasmus+) CABUTE: Capacity Building for Teacher Education in Uganda (NORHED II) Teaching and Learning in the Digital Age (Norgesuniversitetet) Mobile in Black and White documentary on racial dynamics Teaching: Develops and instructs graduate pedagogy courses including UPED650 (Online and Blended Learning), UPED651 (Instructional Video Production), and UPED691 (Supervision Practices), emphasizing active learning and critical pedagogy across disciplines.

Morgan Konnestadمشاهده پروفایل

دانشیار

• Computer Graphics
• Computer-Aided Design
• Motion Capture Technology
• +۵ مورد دیگر

Morgan Konnestad is an Associate Professor in the Department of Information and Communication Technology at the University of Agder's Faculty of Technology and Natural Sciences. He has been employed full-time at UiA since January 1, 1989, and holds a Master's degree in Marine Technology from NTNU with a focus on Computer-Aided Design and additional coursework from the ICT department. His career spans over three decades of dedicated service to the university, with significant contributions to multimedia education and technology. Education Background: Master of Science in Marine Technology from NTNU (Computer-Aided Design focus) Additional coursework from NTNU's Department of ICT University Pedagogics Program completed at UiA in 2006 Konnestad's research interests center on visual computing technologies and their educational applications. He has been responsible for Computer Graphics and CAD courses since joining UiA, later expanding into Video, DVD/Blu-ray Authoring, and e-learning material production. His work demonstrates a consistent focus on practical applications of digital media technologies in educational contexts, with particular emphasis on motion capture systems, 3D visualization, and emerging AR/VR technologies. He has developed numerous multimedia production techniques specifically tailored for academic use and student learning. Analysis of his recent publications (2014-2023) reveals a strong trajectory toward immersive technologies and collaborative learning environments. His work increasingly focuses on motion capture applications, AR/VR implementations in education, and interactive systems for specialized training. The publications show a clear evolution from technical demonstrations of multimedia capabilities toward research-oriented investigations of how these technologies enhance learning outcomes and professional training, particularly in emergency management contexts. Academic Supervision: Assistant supervisor for Maurice Isabwe's PhD completed in 2013 Konnestad actively contributes to the university's outreach efforts through numerous presentations at open house events, high schools, and educational institutions. He has been instrumental in demonstrating UiA's Motion Capture Laboratory capabilities, providing hands-on experiences that showcase the practical applications of multimedia technology. His work bridges academic research with real-world implementation, particularly through collaborations with regional businesses and emergency management stakeholders. Laboratory Focus: Konnestad has been a driving force behind UiA's Motion Capture Laboratory, developing demonstration protocols and practical applications that support both educational and research objectives. His work with this facility has enabled innovative approaches to multimedia production, 3D visualization, and interactive learning environments.

• Database Systems
• Data Privacy
• Machine Learning
• +۴ مورد دیگر

Zhenjie Zhang is a Professor in the Department of Computer Science at East China Normal University's School of Computer Science and Software Engineering, with a distinguished research career spanning nearly two decades. His work bridges theoretical computer science with practical industrial applications, maintaining strong international collaborations with researchers from TU Wien, National University of Singapore, and industry partners including ByteDance. Dr. Zhang's research focuses on the intersection of database systems, machine learning, and industrial applications. His early work centered on database privacy and query processing, evolving toward causal inference, fault diagnosis systems, and industrial AI applications. His recent publications demonstrate a strategic shift toward solving real-world engineering problems using advanced machine learning techniques, particularly in manufacturing, transportation, and cloud systems. The consistent publication trajectory across top venues like IEEE TKDE, VLDB, and ACM Transactions shows sustained research excellence and adaptability to emerging technical challenges. His publication record reveals significant contributions to causal inference methods, evidenced by multiple papers on causal discovery and transfer learning. The research demonstrates practical impact through industrial collaborations, particularly in fault diagnosis systems for mechanical equipment and adaptive control for unmanned vehicles. The recent work shows increasing focus on deploying AI models efficiently in resource-constrained environments, reflecting awareness of practical implementation challenges. Dr. Zhang has mentored numerous junior researchers who have become active contributors in the field, including Ruichu Cai and Zining Zhang. His collaborative network spans multiple continents, indicating strong research leadership and international recognition. The consistent flow of publications in top venues suggests successful grant funding and research group management, though specific grant details aren't provided in the source material.

• Natural Language Processing
• Computational Linguistics
• Artificial Intelligence
• +۷ مورد دیگر

David Martins de Matos is an Associate Professor at Instituto Superior Técnico (IST), Universidade de Lisboa , and a senior researcher at INESC-ID Lisbon within the Human Language Technology Lab . With a career spanning over three decades, he has taught subjects such as Compilers and Object-Oriented Programming since 1993. His research focuses on Natural Language Engineering , Automatic Natural Language Generation , Music Information Retrieval , and Machine Learning Applications in Healthcare . Education: B.Sc. in Electrical and Computer Engineering (IST, 1990) M.Sc. in Electrical and Computer Engineering (IST, 1995) on object-oriented programming in distributed systems Ph.D. in Systems and Computer Science (IST, 2005) on automatic natural language generation Research Interests: His work bridges Natural Language Processing and Computational Music Analysis , with applications in Health Informatics . He investigates semantic frame induction, dialog act recognition, and multimodal systems for chronic pain assessment, Alzheimer's detection, and music generation. His recent articles explore cross-modal retrieval, deep learning for pain narratives, and embodied semantics via fMRI. Scientific Contributions: He has published over 161 works, including 15 recent articles on chronic pain datasets, dialog act recognition, and music-language correlations. His awards include Senior Member status in ACM (SIGMM, SIGIR) and IEEE (Signal Processing Society, Computer Society) , and membership in the Order of Portuguese Engineers . Advising & Collaborations: He has supervised 111 doctoral and master's theses, mentoring students in topics like Visual Story Generation , Music Summarization , and Health Informatics . He collaborates with institutions such as IBM Research , Northwestern University's Feinberg School , and Universidade de Lisboa .

Branden Buehlerمشاهده پروفایل

دانشیار

• Sports Media
• Media Industries
• Cinema Studies
• +۲ مورد دیگر

Branden Buehler is an Associate Professor in the Visual and Sound Media program within the Department of Communication Media and the Arts at Seton Hall University's College of Arts and Sciences. His academic work focuses on the intersection of sports, media industries, and cultural representation, with particular attention to the rise of managerial perspectives in contemporary sports media. Buehler's research interests center around sports media industries, with a specific focus on how sports media has increasingly emphasized executive decision-making, management perspectives, and administrative narratives. His work examines the cultural implications of this shift from field-based to executive-focused sports media content, analyzing how this transformation reflects broader societal changes in how we understand work, management, and success in contemporary culture. His major scholarly contribution is the 2023 book Front Office Fantasies: The Rise of Managerial Sports Media , published by the University of Illinois Press, which has received positive attention in academic circles for its thorough analysis of managerial sports media. Buehler's research has also appeared in prominent academic journals including the International Journal of Sport Communication , Sport in Society , Television & New Media , and the Journal of Sports Media . Buehler teaches a variety of courses within the Visual and Sound Media program, including 'Film Genre,' 'Introduction to Film History,' and 'Introduction to Sports Media,' bringing his research expertise into the classroom to engage students with contemporary media issues.